Andrew H. Sung has worked for over 30 years at public research universities in the U.S. and is currently professor and past director of the School of Computing Sciences and Computer Engineering at the University of Southern Mississippi. He received his Ph.D. from the State University of New York at Stony Brook. With over 260 publications, his current research interests include big data analytics, machine learning and information security. (Google Scholar h-index: 47. Included in the top 2% world scientists list by Springer since 2020.

Computational Intelligence, Pattern Recognition, Machine Learning, Cyber Security.

Dr. Sunil Bhutada is the Distinguished Professor of Information Technology department at the Sreenidhi Institute of Science and Technology, Affiliated to JNTU, Hyderabad, India . His research spans many areas of computer science like Health Sciences, Machine Learning , Topic Modeling, Data Mining, Information Security and aspects of programming language implementation, software tools, software development environments, and high-performance computing. As a participant in the Dubai International Conference he and his student presented a paper titled “IPV6 Adoption in India”. Their paper was selected and awarded as best paper He has done seminal research in Topic Modeling and Data Mining. Hhe and his students have built several interactive programming environments, yielding a variety of incremental analysis. His most recent projects were End to End HR Analytics. Professor Sunil Bhutada has done his M.Tech. and Ph.D. degrees in Computer Science from Jawaharlal Nehru University, Hyderabad, India. He is a member of the ISTE and many other organizations in India. He has almost 100 papers to his credit and received many Best Teacher awards. He has served on numerous advisory committees.

Health Sciences, Data Mining, Information Security, Machine Learning, Topic Modelling

Dr. Rattan Rana Completed Ph.D. in efficient algorithm design in 2014 from Thapar University, Patiala (Pubjab). Active research interests Artificial Intelligence & Machine learning. He is having more than 16 years of cross functional experience in teaching, research and administration. Presently he is working as Professor Computer Science & Engineering Poornima University, Jaipur, Rajasthan. Earlier served as Dean PG Studies & Dean Computer Science & Engineering at Bahra University, Shimla Himachal (2016-2018). During these 16 years of experience, He have served in various leading positions with different Universities/Institutes and organized various conferences, workshops, FDPs and events of national/International repute as well as curriculum design and implementation of new age programs is the core area of interest in academics. Supervised 3 Ph.D scholars. Owns credit of publishing more than 20 research papers in International/National journals of high repute.

Machine Learning

Mohammad Taghi Taghavifard is a Professor and faculty member of Allameh Tabataba’i University (Tehran-Iran). He received his MS in Management Science from University of Tennessee (Knoxville, TN-USA) in 1989 and his Ph.D. in Industrial Engineering from Wichita State University (Wichita, KS-USA) in 1993. He has published numerous scientific articles in the fields of Industrial Engineering (IE) and Information Technology (IT) in several national and international refereed journals and in many conference proceedings. He is also the author of 14 books in the fields of IE and IT. His research interests include: Applications of IT in Management, Knowledge Management, Operations Research, Business Process Management, and Business Intelligence. Also, he has carried out numerous projects in the field of Knowledge Management and Business Process Management and served as a consultant to many private organizations

Information Technology: Knowledge Management, Social Media, e-Banking, Business Process Management, Process Mining, data Mining, Risk Management

Dr. Shanmugavadivu is currently the Professor and Head, Department of Computer Science and Applications, at The Gandhigram Rural Institute (Deemed to be University), and is involved in Teaching, Research, and Extension. She holds an additional responsibility of Director, IQAC. She has 31 years of Academic experience and 21 years of research experience. Her research areas include Medical Image Analysis, Healthcare Analytics, Parallel Computing, Software Engineering and Content-Based Image Retrieval. Under her guidance, NINE Ph.D.s. were awarded; presently EIGHT Ph.D. scholars are pursuing their degree. Moreover, she has guided TWENTY ONE M.Phil. scholars. She has published 50+ research articles in International Journals; 83 in International/National Conferences and 16 book chapters. She has authored two research books and two edited volumes. Her Science Citation Index is 37. Her Google Scholar Citation index is 561 with h-Index & i-10 index as 12 & 18. She serves in the Boards of Study of other Universities and Colleges. She serves as an Editorial Board Member of two Journals. She is sanctioned with funded major research projects of UGC, DST, ICMR and PMMMNMTT for an outlay of Rs.2.39 Cr. She serves as the Coordinator for her department’s funding schemes, under UGC-SAP DRS-I (Rs.40 Lakhs) and DST-FIST (Rs.45 Lakhs). She had been on an international academic assignment to Singapore, Malaysia, USA and China. She has organised a National Conference, Week-Long Digital India Programme and two workshops. She has delivered 174 talks in national/ international conferences/ seminars. She had attended the MHRD’s Leadership for Academicians Programme (LEAP 2019), hosted IIT Bombay. She attended the second leg of LEAP at the Nanyang Technological University, Singapore (February/March 2019). Dr.Pichai holds a B.Sc. Physics (Kundavai Nachair Govt. Arts College for Women, Bharathidasan University), Master’s Degree in Computer Applications (REC, Tiruchirapalli, Bharathidasan University), Ph.D. in Digital Image Restoration (GRI); MBA-HRM (IGNOU) and M.Sc.-Applied Psychology (Bharathiar University). She had qualified UGC-NET and SLET. She is the Recipient of Indo-US 21st Century Knowledge Initiative Award 2015 on the title, Augmenting the Curriculum of Higher Educational Institutions with an On-Line Integrated Cognitive-Based Employability Skills Assessment System using Signal and Video Analytics (One among the four projects sanctioned for India), with the funding outlay of Rs.125 Lakhs.

Digital Image Processing, Medical Image Analytics, AI solutions for Disease Diagnosis, Parallel Computing, Software Engineering, Object Recognition

Prof. Dr. T N Santhosh Kumar is a Research Assistant of Neonatal Care Unit at department of Pediatrics(2013-14), Department of Anesthesia (2014-2023), Department of Orthopaedics(2015) in Employee State insurance Corporation. He had published several Scientific Papers in Indexed National and International Journals of Medicine and allied Health Specialties. He Published several articles on Role of Immunity, paediatrics and Orthopaedics in various Health conditions in Health Magazines.

Prof. Dr. T N Santhosh Kumar research interests is field of Immunity, Nutrition and Pediatrics; Orthopaedics

Dr. Vankamamidi Srinivasa Naresh previously worked as Director for P.G courses at SVKP College Penugonda and is currently working as an Dean (R&D) and Associate Professor, in Department of Computer Science and Engineering, Sri Vasavi Engineering College. Tadepalligudem, Andhra Pradesh, India. Having a teaching experience of 19+years. He obtained an M.Tech in Computer Science and Engineering from J.N.T.University-Kakinada. He was awarded Ph.D in Computer Science and Engineering from J.N.T.University-Kakinada in 3 years. He is also a recipient of UGC.-C.S.I.R. JUNIOR RESEARCH FELLOSHIP ranked one among top 16 in India and cleared NET for Lectureship in Mathematical sciences and also cleared UGC NET in Computer Science and Applications. He published more than 30 papers in reputed SCI journals in the area of ML, cryptography and Security. He is also a recipient of State Best Researcher awarded by government of Andhrapradesh in the year 2013 and given an invited talk on security accepts at CM –block, Andhrapradesh secretariat . Further he successfully completed a UGC- Research Project. He filed a patent on Blockchain based Group Key Agreement. He has given many invited talks in Privacy and Security. He was an expert in designing cryptosystems. He was awarded one copy right for an algorithm for intelligently driven multiple shred key algorithm and filed another on quantum dynamic group key agreement. He authored quality research book and chapters on secure group communication. He has worked on elliptic and hyper elliptic curve based crypto systems. His Current focus is on quantum group key agreements and Blockchain smart contract based group key agreements. State Best teacher awardee from Govt Of Andhra Pradesh in 2022.

Security, Cryptography, Privacy Preserving Machine learning

Dr. James Hutson specializes in multidisciplinary research that encompasses artificial intelligence, neurohumanities, neurodiversity, immersive realities, and the gamification of education. Earning a Bachelor of Arts in Art from the University of Tulsa, a Master of Arts in Art History from Southern Methodist University, and a Ph.D. in Art History from the University of Maryland, College Park, he later acquired additional Master's degrees in Leadership and Game Design from Lindenwood University and additional PhD in Artificial Intelligence at Capitol Technology University (2023). Over the span of his academic career since 2006, Hutson has held various pedagogical and administrative positions across five universities, including Chair of Art History, Assistant Dean of Graduate and Online Programs, and most recently, Lead XR Disruptor and Department Head of Art History and Visual Culture. Notably, his scholarly portfolio includes several books on the application of artificial intelligence in education and cultural heritage, such as Creative Convergence: The AI Renaissance in Art and Design (2024), as well as numerous articles and case studies.

Artificial Intelligence in educational contexts, AI-driven curriculum design, intelligent tutoring systems, personalization of learning through AI, automation of educational assessments

Dr. Emily J. Barnes is a scholar and administrator who brings over fifteen years of experience in organizational development, higher education, data science, artificial intelligence, technology, and academic innovation. With a Ph.D. in Artificial Intelligence from Capitol Technology University and an Ed.D. in Higher Education Administration, Dr. Barnes cultivates a comprehensive and cross-disciplined approach to the complexities involved in AI adoption and technological integration within organizations. Dr. Barnes has held prominent leadership roles, including Chief Digital Learning Officer, Dean of Lindenwood Global, Provost, Executive Vice President, Interim President, and Chief Operating Officer. Her scholarly work, published in leading journals, explores the intersection of AI, technology, and ethical terrains of autonomous agents, with a strong focus on leadership, team building, and strategies within institutions. A dedicated advocate for women in STEM and a champion for equality and inclusion, Dr. Barnes is committed to leveraging technology education to enhance social mobility for all people.

Artificial intelligence (AI), machine learning (ML), data science; broad range of areas, such as advanced AI methods, bias and fairness in data and algorithms, AI uses in education and work, and the social and ethical consequences of AI; diversity and inclusion in STEM fields and social mobility, especially for women and underrepresented groups who face obstacles and difficulties due to a lack of access or skill in technology.

Prof. Dr. Vladimir Gorgadze is the Chair of the Blockchain Department at Moscow Institute of Physics and Technology and a co-founder of several tokenization platforms and digital asset exchanges.

Prof. Dr. Vladimir Gorgadze Research interests are Blockchain Technologies, Distributed Ledger Systems, ML, AI, Web3, Token Economy, Finance, Monetary Theory, Physics

Dr. Shahram Babaie is an associate professor at Department of Computer Engineering, Islamic Azad University, Tabriz branch, Iran. He received his Ph.D. degree in computer engineering from the Science and Research Branch, Islamic Azad University (IAU), Tehran, Iran in 2012. He has been serving as a Technical Program Committee (TPC) member of more than 250 international conferences, and also a regular reviewer of several academic journals. Moreover, he has served as the senior reviewer of international conferences such as BDCC and CMSA. Moreover, he received an excellent reviewer mark at Publons in 2021. Furthermore, he has been serving as an Editorial Board member of ASCS, IJRDO, IJESA, IJAMML, IJLTES, JEDT, ITRJ, IJNIET, CCDS and ECIJ journals, and Associate Editor of BIJCS and IJCIT journals.

Dr. Shahram Babaie research interests are Computer networks, Internet of Things (IoT), Software-Defined Networks (SDN), Computer architecture.

Dr. Sudip Mandal received his PhD degree from the Department of Computer Science and Engineering, University of Calcutta, India in 2019 He received his B.Tech. and M.Tech. in Electronics and Communication Engineering from Kalyani Government Engineering College, India in 2009 and 2011, respectively. Currently, he is working as the Assistant Professor of ECE Department, Jalpaiguri Government Engineering College, Jalpaiguri, India. He was the former Head of ECE Department, Global Institute of Management Technology, Krishnagar, India. His current research interests include computational biology, tomography, artificial intelligence and optimization. He is a member of the IEEE Computational Intelligence Society. He has 38 publications in peer-reviewed journals, and in national and international conferences. Dr. Sudip Mandal is also Editorial Board Member and Reviewer of many International Journals

Computational Biology, Tomography, Artificial Intelligence, Modelling and Optimization

Manu was born in Hyderabad, India in the year 1986. He did his diploma in Electronics and Instrumentation Engineering (D.E.I.E.) in the year 2005 at Krishnadeveraya Government Polytechnic at Wanaparty, India. He did his Bachelor of Technology (B.Tech) in Electronics and Communication Engineering in the year 2008 at P. Indra Reddy Memorial Engineering College at Chevalla, India. He completed a Masters in Electrical Engineering in the year 2009 at University of Bridgeport, Bridgeport, CT USA. He worked for five years in Information Technology (IT) as a Systems Analyst in United States and has one approved patent from United States Patent and Trademark Office (USPTO) and two filed patents. He published many articles including research, policies, reviews, mini-reviews, editorial, short communication and letter to editor in various journals. He is an IEEE Member (Member No: 80399531), member of Golden Key International Honour Society (Member No: 16342916) , member of Epsilon Pi Tau (Member No: 148800) and Life Member at Eurasia Research (Life Member No: STRA-M18148).

Research Interests of Dr. Manu Mitra are Nanomedicine, Nanotechnology, Nanobots, Medical Nanobots

Dr. Slobodan Adžić is an Associate Professor at University Union – Nikola Tesla, Faculty of Management FAM, Serbia. Previously, he was an Assistant Professor at Arab Open University, Kuwait, and a lecturer at University of Hafr Al Batin, Saudi Arabia. He holds a BSc (Hons) in Economics from Belgrade University, an MBA from Lancaster University, UK, and a Ph.D. from Megatrend University, Serbia. His area of expertise includes leadership and strategic management. He has two decades of a comprehensive practical executive experience, as President and CEO in the public and private sector.

Leadership, Strategic Management, Entertainment Computing

Dr. Lixin Wang is currently a Professor of Computer Science at Columbus State University, Columbus, Georgia. He holds a Ph.D. degree in Computer Science from Illinois Institute of Technology, Chicago IL. His research interests include Network Security, Intrusion Detection Systems, Wireless Networks, Algorithm Design and Analysis. He has been conducting top quality research in these areas and published more than 57 peer-reviewed high-quality research papers, most of which are published in leading journals or top-tier conferences in Computer Science. Since 2011, Dr. Wang has been awarded ten federal grants (from NSA, NSF, US Army Reserve, US Department of Energy, or US Department of Education) as the PI or a Co-PI with the total awarded amount more than US$2.6 million. Dr. Wang is currently serving as an active editor/guest editor for seven academic journals in Computer Science, including guest editors of journal special issues.

Computer, Network and Information Security, Wireless Networking, Algorithm Design and Analysis

Dr. Dipti D. Patil is working as Professor in the Information Technology Department at MKSSS’s Cummins College of Engineering for Women, Pune .She has authored various books in areas of Data Structures and Mobile healthcare. Dr. Dipti Patil has a number of Patents in her name. Dr. Dipti Patil is a certified Patent Consultant. Dr. Dipti has published many research articles, which are published in various national and international Journals and conferences. She is involved in developing healthcare system prototypes. Dr. Dipti is also a member of the Board of Studies of IT Engineering faculty in Savitribai Phule Pune University. Her areas of special interest include mobile healthcare, analytics, data science, artificial intelligence and Internet of Things. She is life member of professional bodies like CSI, ISTE, IEEE etc.

Machine learning, Artificial Intelligence, NLP, IoT, Healthcare technology

Ahmed M. D. E. Hassanein is an Associate Professor Researcher in the Systems and Information Department, Engineering and Renewable Energy Research Institute, National Research Centre (NRC), Dokki, Giza, Egypt. He is also an Acting Head, Electrical Communication and Electronics Systems Engineering (ESE) Department, October University for Modern Sciences and Arts (MSA), 6th of October, Egypt. His work includes managing all academic work related to the ESE Department including but not limited to the Graduation Projects Committee, Schedule Committee and Quality Assurance work for Egypt and University of Greenwich. PhD Communication, Engineering Science, University of Oxford, UK. MSc, The American University in Cairo, Egypt. BSc Electronics Engineering, The American University in Cairo, Egypt.

Artificial Intelligence, Human computer Interface, Bio-Sensors Applications, Ultra Wide BandAssociate Professor Waves Imaging

Dr. Héctor Migallón is an associate professor with the Computer Engineering Department at the Miguel Hernández University (Spain). He received the M.Sc. degree in Physics and the M.Sc. degree in Electronic Engineering from the University of Valencia. He is member of the “Architecture and Computer Technology” and the “High Performance Computing and Parallelism” research groups. He received his Ph.D. degree in computer science in 2005. His main research interests include parallel algorithms for solving linear and nonlinear systems, image and video processing and heuristic optimization algorithms. Among others, he has published more than 30 papers in reputed journals with ISI Thomson JCR.

High Performance Computing, Image and video coding, Metaheuristic optimization, Wireless sensor networks

*: Dr. Pankaj Pratap Singh is an Assistant Professor (senior scale) in Computer Science and Engineering, Central Institute of Technology Kokrajhar (CITK), BTR, Assam, India. He received his B.E (CSE) in 2003 from Dr. B. R. Ambedkar University Agra, M.Tech (IT) in 2008 from IIIT Allahabad and PhD in 2015 from IIT Roorkee, India. Dr. Singh has also served as HOD (CSE Dept.) during (2017-19) in CITK. He has published more than 25 research papers in international and National Journals/Conferences/Book Chapters. He was Guest Editor in Special Issue on: “Biomedical Signal and Imaging Trends and Artificial Intelligence Developments” of INDER SCIENCE JOURNAL “IJCSE”. He was also invited for talk in NIT’s and other institutes. He is also a member of IEEE, SPIE, IUPRAI, and IACSIT.

Image processing, Computer Vision, Machine Learning, Data Mining

Dr. Suresh Palarimath is a renowned computer science expert, prolific author, and accomplished researcher with a distinguished career in academia. He has authored a staggering 25 books in computer science, covering diverse topics ranging from Database Management Systems, Computer Concepts, and C Programming to Java and Python programming. These books have been well-received by students and professionals alike, and have contributed significantly to the field of computer science. In addition to his impressive writing career, Dr. Palarimath has also made noteworthy contributions to the field of computer science research. He has published 10 research papers in reputable journals, highlighting his expertise in the field. Furthermore, he has obtained 6 industrial certifications from leading technology companies such as Microsoft and Huawei, demonstrating his deep understanding and proficiency in the latest technological advancements. Currently, Dr. Palarimath serves as a Senior Lecturer in Information Technology at the University of Technology and Applied Sciences, Salalah in Oman. He has been employed there since September 2013, and has been instrumental in shaping the future of computer science students in Oman. Overall, Dr. Suresh Palarimath's contributions to the field of computer science and his dedication to education and research make him an inspiration to aspiring computer scientists and academics worldwide.

AI, Machine Learning, Machine Learning, Natural Language Processing, Image Processing, Object Detection

Dr. Saswati Debnath is an Assistant Professor of Computer Science and Engineering department, Alliance University, Bangalore, India. She earned her doctorate degree from National Institute of Technology, Silchar, Assam, India in the department of Computer Science and Engineering. Her Ph.D. thesis title is “Audio-visual automatic speech recognition and its application on multimodal authentication”. Dr. Saswati received her M.Tech. degree in Computer Science and Engineering from National Institute of Technology, Silchar, Assam, and B.Tech. degree from Government Women Engineering College, Ajmer, Rajasthan. Dr. Saswati has published many SCI/SCOPUS indexed international journals, conferences and has attended many international conferences. She has also been a reviewer of many international journals. Dr. Saswati’s research interests include audio-visual speech recognition, speech recognition, multimodal authentication, speaker recognition, speech to text processing, image processing, machine learning and deep learning.

Audio-visual speech recognition, speech recognition, multimodal authentication, speaker recognition, speech to text processing, image processing, machine learning and deep learning

Dr. Ali H. Wheeb is an Associate Professor at the College of Engineering - at the University of Baghdad, Iraq. His research interests include Ad hoc network, IoT, FANET, UAV, UAV Networks, Mobility Models, Routing Algorithms, Reinforcement Learning, Q-learning, Deep Learning, and Network Simulation (NS-2, NS-3). Asst. Prof. Ali authored 15 research work. Further, he served as a reviewer in 110 journals and conferences, and until now, he reviewed more than 500 papers. Further, Prof. Ali appointed as chair of the organization, chair of publication at several international Conference. Further, Ass. Prof. Ali selected as a PCM and TCM in more than 40 international conferences. Further, he pointed out as Editorial Board Member in several high reputation Journals. Moreover, he received the "Young Scientist Award" in the International Scientist Awards 2022 on Engineering, Science, and Medicine from INSO AWARDS

Computer Network, Mobile ad hoc network(MANET), Flying Ad hoc Network (FANET), wire network , wireless network, transport protocols, routing protocols, Internet of things (IoT), Sensor Network, Mobility Models, Network Simulation Tools (Ns-2, NS-3)

Laith Abualigah is an Assistant Professor at the Computer Science Department, Amman Arab University, Jordan. He is also a distinguished researcher at the School of Computer Science, Universiti Sains Malaysia, Malaysia. He received his first degree from Al-Albayt University, Computer Information System, Jordan, in 2011. He earned a Master’s degree from Al-Albayt University, Computer Science, Jordan, in 2014. He received a Ph.D. degree from the School of Computer Science in Universiti Sains Malaysia (USM), Malaysia, in 2018. According to the report published by Stanford University in 2020, Abualigah is one of the 2% influential scholars, which depicts the 100,000 top scientists in the world. Abualigah has published more than 80 journal papers and books, which collectively have been cited more than 3100 times (H-index = 27). His main research interests focus on Arithmetic Optimization Algorithm (AOA), Bio-inspired Computing, Nature-inspired Computing, Swarm Intelligence, Artificial Intelligence, Meta-heuristic Modeling, and Optimization Algorithms, Evolutionary Computations, Information Retrieval, Text clustering, Feature Selection, Combinatorial Problems, Optimization, Advanced Machine Learning, Big data, and Natural Language Processing. Abualigah currently serves as an associate editor of the Journal of Cluster Computing (Springer), the Journal of Soft Computing (Springer), and Journal of King Saud University - Computer and Information Sciences (Elsevier).

Optimization, Algorithms, Engineering problems, text mining, data mining, Feature selection, optimization problems

Wei-Che Chien received his B.S. and M.S degree in Computer Science and Information Engineering from the National ILan University, I-lan, Taiwan in 2014 and 2016, and the Ph.D. degree in the Department of Engineering Science from National Cheng Kung University, Tainan, Taiwan, in 2020. He is currently an Assistant Professor with the Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan. His research interests include wireless rechargeable sensor networks, 5G mobile networks, AIoT, fog computing and cloud computing.

wireless rechargeable sensor networks, 5G mobile networks, AIoT, fog computing and cloud computing.

Dr. Chandrani Singh is the Director STES Sinhgad Institute of Management(MCA) and InCharge- STES Sinhgad Data Centre,Pune. She is also the Director and Co-Founder of iTeknika Services and Solutions, Pune. In addition, she holds the position as a consultant with Reseapro Scientific Services(ManuscriptEdit) Ltd. She is an avid researcher, ideator, innovator, sports enthusiast and is on the Editorial and Scientific Board of many international journals and conferences. She has authored and published several books and papers, of which few books have been adopted by IIM's and prestigious Universities. She also has copyrights for her software and patents under publication and grant. She instrumental in steering the lab migration project in R as a decision-maker and contributor for the FOSSEE initiative through IIT Bombay, an initiative of NMEICT GOI. She is currently pursuing her Post Doctoral Studies in Information Technology from Malaysia. She is a speaker of repute and pursues extensive research on data analytics and data mining, cloud computing, item theory, artificial intelligence, and machine learning. She had been on several occasions invited as speaker and ambassador for the Women in SIGHT/ Engineering by the IEEE Bangladesh section and had been instrumental in delivering insights on the Future of the Workforce to the k -12 segment as well. Dr. Singh holds a Ph.D. in Computer Management from Pune, Masters in Engineering (Computer Science), Masters in Computer Application from NIT Rourkela Orissa.

Assessments, Cloud Computing, Data Mining and Analytics ,Artificial Intelligence and Machine Learning

Praveen Kumar Sharma did M.Sc. (Mathematics) from Jiwaji University Gwalior (M.P.) in 2001 and M.Phil. from MKU Madurai Tamilnadu in 2007.Did Ph.D. from Barkatullah University Bhopal, on the topic “A STUDY OF FUZZY METRIC SPACES AND INTUITIONISTIC FUZZY METRIC SPACES” in 2013. His 20 research papers have been published in various journals of national and international repute, and 3 more are under review process. He has presented 10 research papers in international and national conferences. He has attended 30+ FDP/workshops/conferences/seminars. He got elected president of the student's union at the Senior Secondary School level by direct mode method. He has 19 years of teaching experience. Qualified GATE -15 with AIR-265. He has filed 07 Patents, out of which 03 Patents have been published as a Principal Inventor. Delivered talks in DST, MPCST, and NCSTC-approved Seminars/Webinars/ programs. Received a total of 10 Awards e.g. an Outstanding Scientist Award for Scientific Invention awarded by GEI India, International Education Excellence Award 2021 in Mathematics” by Center for Professional Advancement CPA India, Eminent Scientist Award by the Kaushambi Foundation India, Best Senior Scientist Award by GISR Foundation, India. Recently been conferred with the Best Academician of the Year 2022 Award by CEGR India on 18th April -2022. Got elected President of the School at senior secondary level by direct mode method in 1996. Got honoured with the best CR of the School in 1995. Got honoured as Topper of the School in Xth and XIIth standard

Common Fixed-Point Theory, Fuzzy Set Theory, and Mathematical Modeling

Dr. Dheresh Soni is a Doctorate in Computer Science & Engineering from Mewar University, Chittorgarh, M.E. & B.E. in Computer Science & Engineering from RGPV University, Bhopal. He has an academic experience of 15+ years and has worked as Assistant Professor in renowned Universities/Colleges like Chandigarh University, Swami Rama Himalayan University, Sagar Group of Institution & Patel Group of Institution. He has worked as a coordinator in the accreditation of ABET, NBA & NAAC. He has 07 Patents (04 Published, 03 Granted) and published 28 Research Papers, in peer-reviewed International Journals & conferences with high impact factors (01 SCI & 16 Scopus). Dr. Dheresh Soni has attended 40 (Conferences-11, FDP-12, Seminars-13, Workshops-04, and Short term courses). He is an active member of Computer Societies like CSI, ACM, IAENG, ICST, and IACSIT. He has good skills in Cloud Computing, Security, and IoT. He has supervised 03 M.Tech Scholars and a number of B.Tech students have completed their projects in the field of web development, application development, and IoT under his supervision.

Cloud Computing, Security, IOT

Dr. D Kishore Babu obtained Ph.D. in Computer Science and Engineering, awarded in 2018,Jawaharlal Nehru Technological University, Kakinada for the thesis titled “Pearson Gaussian Naïve Bayes Classifier and Rough set theory for Data Stream Classification in Recurring Concept Drift.”. A total of 16 years of teaching experience and he filed three Patent at Indian Patent office. He published 21 papers in international journals and 8 conference papers presented. His research interest includes Data Mining and Data warehousing, Artificial Intelligence, Machine Learning.

Data Mining and Data warehousing, Artificial Intelligence, Machine Learning

Dr. Bhanu Sridhar currently working as Associate professor. He done with Doctorate in Computer Science since 2014. His research interests are in health care data analysis using deep learning algorithms, machine learning algorithms and data science. He have published more than 20 papers including 4 IEEE papers and a chapter in SPRINGER-NATURE, Singapore published book.

Data Science, Healthcare Data, Machine Learning, Deep Learning

Silvia Gaftandzhieva works as an Associate Professor at PU “Paisii Hilendarski”. She is an author of 90 publications in the field of Quality Assurance (of HE, e-Learning, Projects, etc.), e-Learning, m-Learning, Learning Analytics, Data Analytics, etc. with over 200 citations.

e-learning and distance learning, automated evaluation of quality in higher education, distance learning, learning analytics, data analytics, big data, business intelligence

Prof. Surekha Janrao is working as an assistant professor in Terna Engineering College, Navi Mumbai from 2010. She has done her bachelors and master’s in computer engineering from Mumbai University. She has published more than 8 papers in international journal. Her area of interest is Machine Learning, Data Mining, IoT. She is Research scholar and doing research in Machine learning and IoT under the Guidance of Dr. Deven shah. She can be contacted at email: surekhajanrao@ternaengg.ac.in.

Data Mining,Machine Learning,IoT

Dr. K. Senthil Kumar received his bachelor's degree in Engineering from Madurai Kamaraj University, master’s degree and doctorate from Anna University, Chennai. He has 19 years of academic experience. He has presented 30 papers in various national and international conferences and published 23 papers in reputed journals such as Elsevier, Springer and Taylor & Francis. He has been the co-investigator of the project “Green Communication – A Low Power Implementation of MIMO-OFDM System for EMI Mitigation” of worth Rs. 8 lakhs funded by AICTE. He is recognized as a research supervisor by Anna University and guiding 8 research scholars at present. He has guided 8 PG students so far. He is serving as an editorial board member and reviewer for several reputed journals including IEEE Communication Letters. He is being a member of professional societies such as IETE, NPA, IFERP, IRED and ICSES. At present, he is working as an associate professor in the department of ECE, Rajalakshmi Engineering College, Chennai. His research interests include Signal Processing, wireless communications, information & coding theory and MIMO-OFDM.

Signal Processing, wireless communications, information & coding theory and MIMO-OFDM

Vaibhav Narawade is a Professor in the Ramrao Adik Institute of Technology at Nerul affiliated to University of Mumbai where he has been a faculty member since 2019. Professor Narawade area of expertise includes Wireless Sensor Network, Image Processing, and Data Science. He has having the more than 20 years of Teaching and Administrative Experience. He has served University of Mumbai as Member of Senate (2008-2010) and currently also served as Member of Management Council and Member of Senate, University of Mumbai (2017 to 2022), In Academics he is a Board of Studies member in Computer Science and Engineering, Information Technology fraternity, and Faculty member in DBATU, Lonere. Dr. Narawade has author / coauthored in various International conference / journal publications and book chapter. He is a fellow of ISTE and ACM

Wireless Sensor Network, Image Processing, and Data Science

Dr. Sagarkumar B. Patel is Associate Professor with the Department of E&C Engineering at CS Patel Institute of Technology, Changa, CHARUSAT, India.He did his B.E. in Electronics and Communication Engineering from North Maharashtra University. His research areas are wireless communication engineering, especially in MIMO-STBC. He is presently serving in the department of EC engineering at Charotar University of Science and Technology Changa Gujarat India since Oct. 2008 and also has completed Ph.D. from CHARUSAT University, Changa. He has published more than 45 research papers in various international journals/conferences/book chapters etc.

wireless communication engineering, especially inMIMO-STBC

Mr. Rajesh Yadav is working as Assistant Professor in V. K.Krishna Menon College with an overall teaching experience of 7+ years. He has participated in more than 250 seminars, webinars (national and international) and workshops all inclusive. He has successfully completed more than 70 faculty development programme and more than 12 certificate courses. He has participated and presented 16 papers in international and national conferences. He has published 35 research papers in reputed peer reviewed, international journals and conference proceedings and authored two books for computer Science subjects. His research area of interest is Machine Learning, Data science, Computing, Automata, Internet of things. He has acted as Technical Reviewer in various conferences. He has been Editorial board Member and Reviewer board Member for many international and National Journal.

Data Science, Machine learning, Artificial intelligence, Database management system

Dr. Ariel Pedrano is a professor from the University of Southeastern Philippines. Professor Pedrano teaches general mathematics subjects as well as analysis and Graph Theory. He has been teaching in the University for 8 years and is the youngest faculty in his department. He has published several research articles in Graph Theory. His papers are also cited multiple times. Professor Pedrano has a BS in Mathematics and MS Applied Mathematics degree, both obtained from the University of Southeastern Philippines. He is currently finishing his PhD in Mathematics at the Caraga State University, where he is currently writing about 2-Movable Domination.

Graph Theory specifically on Graph Labeling and Graph Domination.

The primary reasons for seeking an academic career is the opportunity to interact with young and bright students most of whom are at the threshold of stepping into the real-world. It gives me satisfaction that he is a professor will have the privilege to take part in the initial stages of your research. He love working with students and researcher to improve my own skills by adopting different techniques to meet their diverse perspectives. In the past, Majdi Abdellatief is fortunate enough to have more than 15+ years of teaching and research experience from my work at three different countries Sudan, Malaysia and Saudi Arabia. However, He do not want to write too much about past experience. Instead, He want demonstrate my past knowledge and experience on the future research.

Software Engineering, Component based software Engineering, Testing and Quality, Software Metrics and Cyber Security. Currently, working in Data Science and Data Analytic

Dr. Suyash Bhardwaj is currently working as Assistant Professor in Department of Computer Science & Engineering, Faculty of Engineering & Technology, Gurukula Kangri Vishwavidyalaya, Haridwar. He is Life Time Member of Computer Society of India (CSI), Indian Science Congress Association (ISCA), International Association for the Engineers (IAENG), Bharat Vikas Parishad. He is Senior Member Universal Association of Computer and Electronics Engineers (UACEE), International Journal of Computer Sciences and Engineering (IJCSE), ICST, International Society for Environmental Information Sciences (ISEIS), Indo Universal Collaboration for Engineering Education (IUCEE) and many more societies. He is reviewer of Journal of Computer Science (Scopus Index) and Asian Soil Research Journal (Scopus Indexed). He has more than 36 publications in international journals, conferences, and symposia etc. Attended more than 52 workshops, seminars etc. He has published a book chapter on Forcast & Prediction of Covid19 using Machine Learning and Co-authored a Book on UNIX programming. He is currently guiding two research scholar and guided many research projects at UG level. He is actively heading SWAYAM- NPTEL local chapter as SPOC (Single Point of Contact) of Gurukula Kangri Vishwavidyalaya, working as Coordinator of Unnat Bharat Abhiyan Cell GKV, Editor in chief of Nabhag-A Biannual News Letter of Faculty of Engineering & Technology, CSI State Student Coordinator of Uttarakhand, Former Secretary, CSI Haridwar Chapter, and Former Joint Secretary of Alumni Association of Gurukula Kangri Vishwavidyalaya. He has an experience of more than 10 years in academics and research. Delivered many invited talks on Design Thinking, Research Methodology, Research Ethics, Computer Application in Research, Modern methods of Teaching and Learning, NPTEL Awareness, Computer Society of India and many other current technical topics. He represented Uttarakhand and U.P. West as Science Communicator in 107th Indian Science Congress at University of Agricultural Sciences, Bangalore, Karnataka during January 2020. He has received awards of Top Performing Mentor and Active SPOC from last three years from NPTEL. Received high performance award from Antah Pravah society. He has been recognized and awarded for active contributions in many national and international programs.

Mobile Adhoc Networks, Machine Learning

Paolo Di Sia is currently Adjunct Professor by the University of Verona (Italy), (already Adj. Prof. by the Universities of Padova, Pavia, Bolzano and Visiting Professor by the “National Center for Theoretical Sciences”, National Chiao Tung University, Hsinchu, Taiwan ROC) and Head of the “Primordial Dynamic Space” Research in Verona (Italy). He got a Bachelor in Metaphysics, a Master in Theoretical Physics and three PhDs (Mathematics, Theoretical Physics applied to Nanotechnology, Philosophy of Science). His scientific interests span transdisciplinary physics, classical and quantum-relativistic nanophysics, nano-biotechnology, nano-neuroscience, theories of everything, foundations of physics, history and philosophy of science. He is author of more than 300 works to date (papers on national and international journals, book’s chapters, books, inner academic works, works on scientific web-pages, popular papers), is reviewer of some academic books, editor of some international academic books, reviewer of many international journals. He obtained several international awards, is member of many Scientific Societies and International Advisory/Editorial Boards Webpage: https://paolo-di-sia.weebly.com

Theoretical Physics, Transdisciplinary Physics, Nano-Bio-Technology, Nano-Neuroscience, (Holistic) Theories of Everything, (Quantum) Consciousness, History and Philosophy of Science, Science Education, Border Research among Mathematics, Physics, Philosophy and Pedagogy

Ashwani Kumar did Ph.D. in computer vision from Information and Communication Engineering department at the University of Tokyo, Japan. He did Master of Technology in instrumentation from Indian Institute of Science, Bangalore, India and Bachelor of Engineering in Electronics and Instrumentation Engineering from College of Engineering and Technology, Bathinda, India. He is a recipient of QIP and MEXT scholarships. His research interests are computer vision and deep learning.

Computer Vision, Deep Learning

Currently Dr. Shalini Jaiswal Working as HOD of and Associate Professor in Applied Science. Dr. Shalini Jaiswal has more than 15 years’ experience in academics and research and is the author of more than 50 scientific publications in ScopusSCI and other reputed journalConference. She has reviewed more than 50 papers of various reputed journal and conferences. Dr. Shalini Jaiswal received her D.Phil degree in Organic Chemistry from University of Allahabad, Allahabad India, in 2009. Dr. Shalini Jaiswal Worked as Moderator in TOKYO SUMMIT-II (2020) and TOKYO SUMMIT-III (2021), Turkey (2022)

Green Chemistry, Synthesis of heterocyclic compounds with antimicrobial activity and Environmental issues, Nanotechnology

Research Scholar working on Femur bone Operations along with operational Planning. Expertise in Design of Smart Electronic Systems, Imaging Processing and Design of Fuzzy Systems for decision marking.

Biomedical Image Processing, Modeling and Analysis of Bones. Operational planning, Design of Fuzzy Systems

Dr. Bharat Dhiman is an innovative and inquisitive individual with 10+years of experience in Academics, Media industry, and Creative art. He has been awarded meritorious PDF (Post-Doctoral Fellowship) by the Indian Council of Social Science Research 2021-22. He has also qualified UGC-NET in Journalism and Mass communication, NFOBC fellow, and World record holder. He has associated with Television, Newspaper, Theatre, and Social and community groups. He has participated in many media workshops, seminars, conferences, and faculty development programs. He has won various international, national, and state-level competitions. He is the author of Six books in his credit “Drone Journalism: Bird’s Eye View of Storytelling”, “Visualization and Storytelling: The New Art and Techniques”, “Paparazzi and Celebrity Journalism”, “Mobile Journalism (MOJO): Current Trends and Challenges”, Citizen Journalism: Skills and Practices, and Speech, Voice and Imagination for Acting and many research papers, research articles, and review articles published in Scopus Indexed, Elsevier BV, and UGC Care listed journals with high impact factor. He guided many undergraduate and post-graduate students of journalism and mass communication. His interest areas are print media, electronic media, new media, visual research, celebrity journalism, public relations, advertising, and research methodology.

Visual Communication, New Media, Communication Research

Dr. Abbas Kareem Wanas he is working as a Doctor in department of mathematics at College of Science, University of Al-Qadisiyah, Iraq. He has received his M.Sc. degree in 2013 from College of Computer Science and Mathematics, University of Al-Qadisiyah and PhD degree in 2018 from College of Science, University of Baghdad, Iraq. Her main interest areas include Geometric Function Theory, Univalent and Multivalent Functions, Fourier Analysis, Fractional Calculus, Operator Theory, Differential Subordinations.

Geometric Function Theory, Functions of a complex variable, Univalent and Multivalent Functions, Differential Subordinations and its Applications, Operator Theory.

Dr.VE.Jayanthi, Professor and Head in the Department of Biomedical Engineering from PSNA College of Engineering and Technology, Dindigul. She received her UG degree AMIE (ECE) in the Institution of Engineers (India) in 1993. She completed her Master’s Degree in Applied Electronics, Anna University, Chennai in 2004. She was awarded a Doctoral degree in Information and Communication Engineering (ICE), Anna University, Chennai in 2013. She is the professional body member of ISTE, IAENG, IEEE (Signal Processing), Biomedical Engineering Society of India (BMSI), Member of Indian biomedical skill consortium (IBSC), and mentor of ATEL Tinkering Lab. She has 23 years of teaching and programming experience and published more than 56 research paper in the reputed international journals. She submitted the proposals and received a sum of the amount of Rs 45 lakhs from ICMR, DBT, AICTE and American International Health Alliance -Ethiopian. Her research interests include Digital Image & signal processing, Device Design, VLSI Architecture Design, Assist & wearable device

Digital Image & Signal Processing, Device Design, VLSI Architecture Design, Assist & wearable device

Walaa H. El-Ashmawi is a Professor at the Faculty of Computer Science, Misr International University, on leave from Suez Canal University, Egypt. She received her B.Sc. in 2001 and M.Sc. in 2008 from Egypt. She got her PhD. Degree in 2013 from Computer Science Department, College of Information Science and Engineering, Hunan University, China. She is an author and coauthor to many journal publications and conferences in the area of Artificial Intelligence, Computational Intelligence, Swarm intelligent algorithms. She led different IT positions (Executive manager of Portal Project, University Education Development Center and Head of Summer Training Unit – Suez Canal University) and other administrative positions (Executive manager of CS control – Faculty of Computer Science – Misr International University).

Artificial Intelligence, Meta-heuristic algorithms, Optimization problems, Computational Intelligence

Dr. S. Senthilkumar is working as an Assistant Professor in E.G.S. Pillay Engineering College, Nagapattinam in the department of Electronics and Communication Engineering. He has completed his Ph.D (Information and Communication Engineering) at Anna University, Chennai in 2023. He has completed his postgraduate (Nanoelectronics) at SASTRA University, Thanjavur and undergraduate (Electronics and Communication Engineering) at Anajalai Ammal Mahalingam Engineering College, Kovilvenni. He has around 10 years of experience in teaching. He is a recogonized research supervisor in Anna University, Chennai. He has contributed to more than 25 research publications in international journals and conferences, 3 text books 1 Indian patent. He has been well trained person in the fields of accreditation processes like NBA, NAAC and NIRF in India.

Solar photovoltaic, MPPT algorithms, Partial shading in solar photovoltaic, Solar parameter extraction, Evolutionary algorithms, Fault detection in solar photovoltaic, IoT, Image processing, Digital system design, Wireless sensor networks

Muhammad Imran is an accomplished academic who was born and raised in Lahore, Pakistan. He completed his BSc in Physics from the University of Punjab in 2004. He showed a keen interest in the field of Physics and decided to pursue further education in the subject. He then went on to complete his Master's, M.Phil, and PhD in Physics from GC University, Lahore, Pakistan. After completing his education, Imran joined GC University, Lahore, Pakistan, as a faculty member on October 1, 2007. He started his teaching career as a Lecturer of Physics and gradually climbed the ranks to become an Assistant Professor. During his tenure at the university, he taught undergraduate and graduate classes in Physics and Electronics. Imran's research interests revolve around the field of semiconductor oxide thin films, especially ZnO and NiO. He has conducted extensive research on the fabrication of Flexible MSM for UV light detection. In addition to this, he has published work on MoO NiO and modification of materials properties by laser and traditions. Imran has authored more than 15 research articles, which have been published in reputable international journals. His work has received about 200 citations, which speaks to the quality and impact of his research. He has also supervised more than 100 BS Electronics students in their final year projects and six M.Phil students in their research. Currently, Imran serves as an Assistant Professor at the Department of Electronics at GC University, Lahore, Pakistan. He continues to be an influential figure in the field of Physics and Electronics, and his work has contributed significantly to the development of the field.

Artificial Intelligence Fuzzy logic based control systems Semiconductor tin films

I am Dr.V.Selvan,Professor & HOD-Civil Engineering Department ,Kumaraguru College of Technology, Coimbatore having 35 plus experience in Teaching,Research and Industrial experience in reputed Engineering Institutions . I have got 50 international journal publications ,25 National journal publications to my credit and received funding from IEI,TNSCST,SERB,DST,ISTE,etc.for my research and products.

Structural Engineering, Automobile Engineering and Areo space Engineering, Shock wave application on Structures, Composite materials and Nano-Technology

Ana, Prince Onebieni Uguana: Office Address: Department of Computer Science Cross River University of Technology, Calabar. Home: 20 Eta Agbor Road, Calabar,Cross River State, Nigeria. Mobile Phone: +2348033183236 Email : anaprince@yahoo.com, princeana@unicross.edu.ng Objective Result –Oriented professional with over 20 years of progressive experience in diverse sectors and a track record of consistently trying to exceed expectations. Offering to support a dynamic organization in achieving its overall development and growth, using information technology to promote efficient service delivery. A Nigerian-born Information Specialist, currently with Cross River University of Technology. I have amassed over 20 years of professional experience spanning Teaching, Oil Exploration, ICT, Consultancies, Management, Project Management, and Logistic Cold Chain Management etc.

Mobile Applications, Digital Library Systems, Networking, Library Information Systems, Medical Informatics, Business Information Systems, Seismic Processing etc.

Mrs.B.Sowmiya is designated as an Assistant Professor in the Department of Computer Science, S.I.V.E.T College, Chennai. She completed M.Sc Computer Science as a University topper at Bharathidasan University and M.Phil at Periyar University. She qualified both SET, UGC NET in Computer Science .Now she is pursuing Ph.D. in Computer Science with specialization in Digital Image Processing, machine learning and deep learning at Bharathidasan University, Trichy. She has published research papers in Scopus, UGC care and international conferences also wrote few books and book chapters. She served as a reviewer in reputed journals and speaker at international conferences.

Machine Learning, Deep Learning, Digital Image Processing

More than 30 years of industry experience in electrical & technology streams across manufacturing, government, software development industries through small to medium to corporate companies. Brings best of both worlds- management & technology areas with heart of innovator at heart, lead product & solution developments on cutting edge technologies with end-2-end activities.

AI, ML, IoT, XR SIMULATIONS

Dr. Bhavya K is currently working as an Assistant Professor in the Department of Mathematics, Presidency University, Bangalore from past 7 years. Also, she has more than 17 years of teaching experience and more than 7 years of research experience in the field of Differential Geometry. Her areas of interest includes Manifolds, Submanifolds, slant submanifolds, Analysis of parallel conditions. Currently 2 Research scholars are persuing PhD under her supervision. She is a Lifetime member for many Professional bodies like IMS, RMS, ISTE etc..

Differential Geometry, several Complex variables and Analytic spaces, Analysis on Manifolds and Submanifolds

Florentin Smarandache, PhD, PostDocs, is an Emeritus Professor of Mathematics at the University of New Mexico, United States. He got his MSc in Mathematics and Computer Science from the University of Craiova, Romania, PhD in Mathematics from the State University of Kishinev, and Postdoctoral in Applied Mathematics from Okayama University of Sciences, Japan, and The Guangdong University of Technology, Guangzhou, China. He is the founder of neutrosophy (generalization of dialectics), neutrosophic set, logic, probability and statistics since 1995 and has published hundreds of papers and books on neutrosophic physics, superluminal and instantaneous physics, unmatter, quantum paradoxes, absolute theory of relativity, redshift and blueshift due to the medium gradient and refraction index besides the Doppler effect, paradoxism, outerart, neutrosophy as a new branch of philosophy, Law of Included Multiple-Middle, multispace and multistructure, HyperSoft set, TreeSoft Set, IndetermSoft Set and IndetermHyperSoft Set, SuperHyperGraph, SuperHyperTopology, SuperHyperAlgebra, SuperHyperFunction, Neutrosophic SuperHyperAlgebra, degree of dependence and independence between neutrosophic components, refined neutrosophic set, neutrosophic over-under-off-set, plithogenic set / logic / probability / statistics, symbolic plithogenic algebraic structures, neutrosophic triplet and duplet structures, quadruple neutrosophic structures, extension of algebraic structures to NeutroAlgebra and AntiAlgebra, NeutroGeometry and AntiGeometry, NeutroTopology and AntiTopology, Refined Neutrosophic Topology, Refined Neutrosophic Crisp Topology, Dezert-Smarandache Theory and so on to many peer-reviewed international journals and many books and he presented papers and plenary lectures to many international conferences around the world. In addition, he published many books of poetry, dramas, children stories, translations, essays, a novel, folklore collections, traveling memories, and art albums: [ http://fs.unm.edu/FlorentinSmarandache.htm ].

neutrosophic physics, superluminal, quantum paradoxes, unmatter

I’m Sudharson Gunasekaran, a financial technologist with 17+ years of experience in software development with a focus on the banking and finance sector for the past eleven years. Have experience developing scalable, high-availability applications within various finance, pharmaceutical, retail, and product development verticals. I have experience in server and client-side development, architecture, and distributed systems. I am currently a senior software developer with AllianceBernstein LP in Nashville, driving the client and server-side application development on Windows and Linux system, leading, and mentoring the junior team members.

Software Development, Computer Science, Cloud Computing, Distributed Systems, System Designs

Review of my credentials will indicate that I am a qualified Assistant Professor and Software Testing Professional, high performing individual with excellent professional and technical skills achieved via rich cross-functional exposure across the industry and teaching field. Ph.D in VTU. I possess 9 years of Experience. 7.11 years of teaching (Working as Assistant Professor at VVCE Mysuru form July 7th 2016 till date), 1 year as Assistant Professor at GSSSIETW , Mysuru and 1 year as Software Engineer at Safran Morpho, Noida. Technically competent in Software Testing. Hands on exposure in Manual Testing, Functional Testing, Regression Testing and Automation Testing as well as Development of Applications. Received IBM Data Science Professional certificate from Courseera.

Biometrics, Image processing, Machine learning, Forensics

Dr. Pijush Dutta received his PhD degree in 2022. He received his B.Tech and M.Tech. in 2007 and 2012, respectively. Currently he is working as Assistant professor & head at the Department of Electronics & Communication Engineering, Greater Kolkata College of Engineering and Management, West Bengal, India. He has more than 11 years of teaching & more than 7 years of research experience. He completed Dr. Dutta's research interests include Sensor & transducer, nonlinear process control system, Mechatronics system & control, optimization algorithm, intelligent system, Internet of Things (IOT), machine learning & Deep learning, etc. He has 14 International & national Patent & has published more than 92+ research articles in his credit, published in international & national journal & conference proceedings. He has 8 author book & 10 book chapters under reputed book publishers Elsevier &Springer. Beyond that Dr. Dutta also reviewer of several SCI journals like Soft Computing, Journal of Intelligence System and many more.

AI, Internet of Things , Optimization, Sensor & Transducer

Dariusz Jacek Jakóbczak was born in Koszalin, Poland, on December 30, 1965. He graduated in mathematics (numerical methods and programming) from the University of Gdansk, Poland in 1990. He received the Ph.D. degree in 2007 in computer science from the Polish – Japanese Institute of Information Technology, Warsaw, Poland. From 1991 to 1994 he was a civilian programmer in the High Military School in Koszalin. He was a teacher of mathematics and computer science in the Private Economic School in Koszalin from 1995 to 1999. Since March 1998 he has worked in the Department of Electronics and Computer Science, Koszalin University of Technology, Poland and since October 2007 he has been an Assistant Professor in the Chair of Computer Science and Management in this department. His research interests connect mathematics with computer science and include computer vision, artificial intelligence, shape representation, curve interpolation, contour reconstruction and geometric modeling, numerical methods, probabilistic methods, game theory, operational research and discrete mathematics.

Research interests connect mathematics with computer science and include computer vision, artificial intelligence, shape representation, curve interpolation, contour reconstruction and geometric modeling, numerical methods, probabilistic methods, game theory, operational research and discrete mathematics

Dr.M.Nandhini, is currently working as Assistant Professor in the Department of Computer Science, Government Arts College, Udumalpet.Computer Science and Engineering Professor with over 19 years of experience in research and teaching in which she had worked in the PSG College of Technology,Coimbatore for more than a decade. She received her Ph.D. in Information and Communication Engineering from Anna University, Chennai in 2016, where her doctoral work focused on Classifier construction using significant association rules. Her research interests include Data analytics for big data applications. Her research specifically focuses on applying machine learning techniques (data analytics), to big data problems in the healthcare industry. She has published more than 18 papers in International Journals and Conferences. She has also published a Patent on Smart Betel Vine Cultivation using IoT. She is a resource person to many Arts and Engineering colleges on Data Mining and Big Data Analytics.She is a recipient of “Best Teacher in Computer Science & Engineering Award” by Global Outreach Research & Education Association Web of SCiences:https://www.webofscience.com/wos/author/record/AAG-3238-2019 Scopus: https://www.scopus.com/authid/detail.uri?authorId=35107836200.

Big Data ,Data Analytics,Machine Learning

Dr.Bharanidharan.G working as an Assistant Professor in the Department of Computer Applications, The New College, Chennai, has about 16 years of teaching experience. He received his MCA degree from SRM University in the year 2004, Chennai and PhD in Computer Science in the year 2023 from Vels University (VISTAS), Pallavaram, Chennai. He has published around 13 research papers in refereed international Journals and IEEE conferences indexed in Scopus and authored 02 Book chapters with ISBN number. His area of research includes Cloud Computing, Digital twin, Deep Learning, Big data Analytics and Block chain technologies. He received various honors and awards such as Best Faculty Award and Research Excellence Award. He has completed the latest trending courses such as Cloud Computing, Deep Learning conducted by NPTEL, edX Machine Learning with Python, AWS Essentials, Data Science: Probabilities and Inference, Visualization and Elsevier peer reviewer course modules . He is serving as a scientific article reviewer for many reputed journals such as the science publications, IJEECS, IGI Global, Soft Computing and for many IEEE conferences. He is an active member of IEEE, CSI, ISTE, IAENG and ACM

Cloud Computing, Deep Learning, Digital Twin, Big Data Analytics, Block Chain

Preethi D received the Ph.D. in Information Technology and Engineering in the year 2022 from Vellore Institute of Technology, Vellore, India. She successively joined SRM Institute of Science and Technology, Ramapuram campus, Chennai, where she is currently an Assistant Professor in the Department of Computer Science and Engineering. Dr. Preethi‘s principal research, knowledge & Expertise in technology such as Network Security, Deep Learning, Machine Learning & Soft computing. She holds a life time membership in ISTE (Indian Society for Technical Education) & IAENG. She also has published 5 research articles in International peer reviewed journals and book chapters. She served as a Co-Investigator in a project titled, ”Mathematical Epidemic Modelling and Forecasting of CoViD-19 using Deep Learning Techniques” which is funded by King Abdulaziz City for Science and Technology (KACST), Riyadh, Saudi Arabia.

Network Security, Machine Learning, Deep Learning

Dr. R. Pavithra Guru is currently employed as an Assistant Professor in the Department of Electronics and Communication Engineering at SRMIST in Ramapuram, Chennai. The individual has nearly six years of experience conducting research and delivering instruction. In addition to their formal qualifications, they have also obtained certifications in various courses offered by NPTEL. The individual in question obtained a Doctor of Philosophy degree in VLSI Physical Design from Sri Sivasubramaniya Nadar College of Engineering, affiliated with Anna University Chennai, in 2022. The individual in question has disseminated his research findings by publishing articles in national and international scholarly journals and presentations at conferences and symposiums. The individual possesses a comprehensive understanding of the theoretical underpinnings of the subject matter, as well as the practical considerations involved in designing applications within this field. The individual possesses a high level of knowledge and proficiency in Very Large Scale Integration (VLSI) Design, focusing on Physical Design, Micro Electronics, and algorithms. Additionally, the individual possesses a strong understanding of correlated disciplines such as Wireless Sensor Networks and Robotics.

VLSI Design VLSI Physical Design: partitioning, placement, routing Analog Design: RF circuit design, Simulations of flow processes, Layout Extraction Digital design: Verilog and VHDL design

Dr. Harishchander Anandaram completed a PhD in Bioengineering, an M.Tech, and a B.Tech in Bioinformatics from the Sathyabama Institute of Science and Technology, Chennai, in 2020, 2011, and 2009. In his bachelor’s and master’s thesis, he worked on analysing resistance in HIV protease inhibitors based on molecular mechanics and machine learning studies, a collaborative project with IIT Madras. In his PhD thesis, he worked on pharmacogenomics and miRNA-regulated networks in psoriasis, a joint project with Georgetown University, USA, JIPMER, INDIA, CIBA, INDIA, and ILS, INDIA. His thesis illustrated a multi-disciplinary approach by combining computational biophysics and molecular biology machine learning. While doing a PhD, He had the opportunity to collaborate with international researchers and have publications in reputed international journals in bioinformatics and systems biology. He has received the prestigious “Young Scientist Award” from “The Melinda Gates Foundation” for his research abstract on “The Implications of miRNA Dynamics in Infectious Diseases”. To date, he has reviewed more than 200 manuscripts in systems biology. He is currently working on predicting novel lead molecules and biomarkers using computational techniques to target inflammatory pathways associated with infectious and autoimmune

Artificial Intelligence, Big Data Analytics, Computational Bioengineering, Machine Learning, Large Language Models

Dr. Amirthalakshmi Thirumalai Maadapoosi. is Currently working as an Assistant Professor in the Department of Electronics and Communications Engineering, SRM Institute of Science and Technology, Ramapurram, Chennai, India. She completed her B.E. in Electronics and communication engineering from Pallavan college of engineering affiliated to Anna University. She received her M.Tech in VLSI Design from Sathyabama Institute of Science and Technology at Chennai. She obtained her Ph.D degree from Sathyabama Institute of Science and Technology at Chennai in the year of 2019. She published 29 papers across various reputed International Journals and also published 5 patents. Her research interests include VLSI Design, Low power VLSI Design, Image processing, Fuzzy logic and Microelectronics

LOW POWER VLSI, MICROELECTRONICS, IMAGE PROCESSING, WIRELESS COMMUNICATION

Accomplished innovator and distinguished keynote speaker in Digital Forensics and Incident Response (DFIR) with a decade of comprehensive experience in the information technology and services sector. I offer proven expertise in Digital Forensics and Incident Response across Windows, Linux, and Mobile platforms, as well as drones. My competencies extend to Security Information and Event Management, Active Defense, Deception Techniques, Security Monitoring, Python programming, Vulnerability Assessment and Penetration Testing (VAPT), Policy and Procedure Development, Threat Hunting, and Malware Analysis.

Cyber Security, Digital Forensics and Incident Response, artificial intelligence , Virtual reality Innovation

Dr.S.Sankari is working as Professor in the Department of Information Technology, Sri Sai Ram Engineering College, Chennai, Tamil Nadu, India. She has about 24 years of teaching and 2 years of Industrial experience and her research interest in the field of Cloud computing, Software Defined Network, Big Data, Internet of Things and Machine Learning. She is IEEE Senior Member, Treasurer & Secretary of IEE Madras Section (R10) Education Society, Education Society Student branch Chapter Advisor of Sri Sai Ram Engineering College. She delivered guest lecturer in the field of Cloud Computing, Artificial Intelligence, Data Analytics and Machine Learning. She is the National Program Enhanced Learning (NPTEL) Star – Domain Star, Enthusiast, Evangelist, Discipline Star and Motivational Learner. She Completed Data Science Domain and Faculty Advanced Domain in NPTEL. She has more publications in the reputed journals as well as in National and International conferences. She received the best researcher award, Engineering excellence award , Best e-content developer award and NPTEL star Performer.

Cloud Computing, Big Data, IoT, Artificial Intelligence, Machine Learning

Dr. S. N Gunjal, is working as an Assistant Professor in the Department of Computer Engineering, at Sanjivani College of Engineering, Kopargaon, Maharashtra, India. He has completed Ph.D from Shri JJT University Vidyanagari, Jhunjhunu Churu Road, Chudela, District -Jhunjhunu Rajasthan

.His Area of interest is Machine Learning, Cloud computing , Data Mining.

Dr. Kondra received her Master's & Ph.D. in Computer Science from the University of Louisiana at Lafayette. Prior to her pursuit of the Ph.D., she led software engineering and data analysis projects at top medical devices, imaging companies and healthcare startups. This experience in solving healthcare problems using data science and natural language processing ultimately led her to pursue a Ph.D. Her research focused on using deep learning techniques to study protein-protein and protein-drug interactions using their 3D structures. Currently, she works as a Senior Data Scientist at Deloitte, passionate about bridging the gap between cutting edge AI technologies and the healthcare sector.

Applied AI, Natural Language Processing, Generative AI, Information Retrieval, Semantic search, Unsupervised learning, Machine Learning, Deep Learning, Drug Discovery.

Pawar is an Assistant Professor (tenure-track) in Department of Computer Science and with a joint appointment in Biology at Claflin University with a Masters in Computer Science and a Ph.D. from Georgia State University, Atlanta. He’s also an co-founder of a Connecticut based AI company, ChestAi, and a research affiliate at Yale University School of Medicine. His research is focused on big data (next-generation sequencing, microarrays, X-ray crystallography etc.) analysis with machine learning techniques (Neural networks, SVM’s, Restricted boltzmann machines, Clustering algorithms etc.).

next-generation sequencing, microarrays, X-ray crystallography etc.) analysis with machine learning techniques (Neural networks, SVM’s, Restricted boltzmann machines, Clustering algorithms etc

I am an adiunct at Lublin University of Technology (Poland). In my scientific work, I deal with the modification of polymer materials, research on the properties and structure of polymer composites, porous materials and biopolymers, and the processing of polymer materials, mainly by extrusion and injection methods. I am the author and co-author of 74 scientific publications and 35 invention projects, including 20 patents, 10 patent applications and 2 industrial designs. I completed a prestigious internship program in the area of Science Management and Commercialization at Stanford University in California (USA) as part of the Top 500 Innovators program in 2015. I improved my professional experience at national and international scientific conferences, including: in Japan, Estonia, Sweden, France. Moreover, I have repeatedly conducted classes under the Erasmus program in many European countries, such as: Lithuania, Slovakia, the Czech Republic, Hungary, Portugal and Italy

polymer processing, polymer materials, blowing agents

Dr. Anil V Turukmane, Working as Professor in School of Computer Science & Engineering at Vellore Institute of Technology. I have Completed My PHD(CSE) in 2016, I have Completed My POST DOC (CSE) in 2021 from Lincoln University Malaysia. I have Total 16 Year's Teaching Experience, I have published total 44 Paper's in Various International Journals/Conference. I have Published 20 patents, I have Published six text Books.

Cyber Security, AI ,ML,DL

Dr. Sabrina Ahmad is an Associate Professor in Software Engineering at Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka. Currently Deputy Dean (Research and Postgraduate Studies) Graduated from The University of Western Australia (PhD in Computer Science). She is a Professional Technologies by MBOT Certified Software Tester by ISTQB, Certified Professional Requirements Engineering by IREB, Certified Information Technology Architect by IASA. She has Served as an academic since 2002, teaching and supervising students from diploma to PhD level in the area of software engineering. She is doing research in software engineering focusing in requirements engineering and also apply skills and knowledge in software engineering through consultations projects with industries.

requirements engineering, software engineering, software verification and validation, software quality, enterprise architecture

Hoshang Kolivand is an accomplished researcher in the field of computer science, specializing in AI and Mixed Reality. He received his MS degree in applied mathematics and computer from Amirkabir University of Technology, Iran, in 1999. He went on to pursue his PhD at the Media and Games Innovation Centre of Excellence (MaGIC-X) in Universiti Teknologi Malaysia, completing it in 2013. Dr. Kolivand further honed his expertise in Augmented Reality through a Post Doctoral program at UTM in 2014. With a rich academic background, Hoshang has previously served as a lecturer at Shahid Beheshti University, Iran, and later as a Senior Lecturer at Universiti Teknologi Malaysia. Currently, he holds the position of Reader(Associate Professor) in AI and Mixed Reality at Liverpool John Moores University and is also a Visiting Professor at Bharath Institute of Higher Education and Research: BIHER, Chennai, India. Throughout his career, Hoshang has made significant contributions to the academic community. He has authored numerous articles in international journals, conference proceedings, and technical papers, including book chapters. Additionally, he has published several books on object-oriented programming and mathematics. Dr. Kolivand is recognized as a Senior member of IEEE and actively contributes to various conferences and international journals as a Technical Program Committee (TCP) member. His dedication to advancing the field of computer science and his passion for research continue to drive his pursuit of knowledge and innovation.

Computer Graphics,Virtual Reality, Augmented Reality, Gamification, Computer Vision and Visualisation Image processing, Animal Computer Interaction, Human Computer Interaction, Photorealistic/non photorealistic Rendering, Artificial Intelligence, Machine Learning

Professor Ramy Shaheen Permanent Address: Department of Applied Mathematics (Computer Science), Tishreen University, Lattakia, Syria. Phone N: +963 (999880503) Tel: +963 (41) 2455502 E-Mail: shaheenramy2010@hotmail.com Education: 1985 – 1989: B.Sc. (Mathematics) - Tishreen University - Syria. 1995 – 1998: M.Sc. (On Domination Number in Graphs) - Ain Shams University - Egypt. 1998 – 2001: PhD (Domination Number in Graphs and Vizing's Conjecture) - Ain Shams University Egypt. Working experience: 1989 – 1995: Assistant lecturer, Department of Mathematics, Tishreen University, Syria. 2001 – 2006: Assistant Professor, Department of Mathematics and Mathematical Statistics, Tishreen University, Aleppo University, Al-bath University, and Aljazeera Private University, Syria. 2006 – 2007: Visitor Doctor , Department of Pure Mathmatics and Mathematical Statistics, University of Cambridge, United Kingdom. 2 2007 – 2012: Visitor, Department of Mathematics, Umm Al-Qura University, Kingdom of Saudi Arabia. 2012 – 2017: Associate Professor, Department of Mathematics and Mathematical Statistics, Tishreen University, Syria. 2018 – 2022 : Professor, Department of Mathematics and Mathematical Statistics, Tishreen University, Syria. A wards and Honours : 1995: M.Sc. Scholarship from University of Ain Shams - Egypt. 1998: Ph.D. Scholarship from University of Ain Shams - Egypt. 2006: Awards from Kuwait Foundation. For visiting Position in Cambridge University, (1st – only one Position available for all Universities from Arabic Countries). 2018-2019-2020: Awards from Marquis Who's Who has selected me for our official Albert Nelson Marquis Lifetime Achievement Award. My biography accepted into Marquis Who's Who, which is comprised of the top 3% of the professionals in the world for three consecutive years 2018, 2019 and 2020. 2019-2021: Membership of the American Mathematical Society. 2021: Membership of the Universal Scientific Education and Research Network (USERN).

Graph Theory, Graph algorithms

Professor Gayadhar Panda earned his Ph.D. in Electrical Engineering from Utkal University in 2007. He began his journey at NIT Meghalaya as an Associate Professor in 2013 and currently holds the esteemed position of Professor in the Electrical Engineering Department at the National Institute of Technology, Meghalaya, India. Alongside his teaching responsibilities, he serves in various administrative capacities such as Dean of Academic Affairs, Dean (Faculty Welfare), and Head of the Department of Electrical Engineering, in addition to undertaking other significant roles as Chairperson or Member of numerous National and Institutional Committees. With over 25 years of combined teaching and research experience, Dr. Panda has established himself as a prolific and dynamic expert in his research domain. He boasts an impressive portfolio of more than 170 research papers published in esteemed peer-reviewed journals and conferences and has filed 4 patents. Under his expert guidance, 9 scholars have successfully obtained their Ph.D. degrees, while another 8 are currently engaged in their research under his mentorship. Dr. Panda's contributions to the field have earned him the prestigious Power Medal from IE (India), and best Research Award from NIT Meghalaya in the years 2016, 2021 and 2023. Dr. Panda was also listed within 2% scientist of the world by Stanford University in successive years 2021, 2022 and 2023. His expertise extends beyond academia as he has led numerous sponsored research projects and consultancy work focusing on renewable energy integration and power quality enhancement. He holds esteemed memberships in professional organizations including Senior Member of IEEE, Fellow of IE, and Life Member of ISTE. Dr. Panda serves as an Associate Editor for IEEE Access, ITES, Wiley, and IJEEPS, De Gruyter, and various technical and steering committees for conferences. He is also renowned for organizing numerous technical events such as IEEE Conferences, Symposia, and National Workshops, and is frequently invited to deliver talks at national and international forums, further solidifying his stature as a distinguished academic and researcher.

Automatic generation control, stability improvements using flexible alternating current transmission system devices, power quality, power electronic converters, and distributed power generation. His work involves design, implementation, and operation of AC/DC microgrid with interfacing converters that use digital signal processing, artificial intelligence techniques and other novel control methods

PhD Eng. Justyna ?ywio?ek is an assistant professor at the Czestochowa University of Technology. In 2014, she defended her doctoral dissertation with honours in the field of management science, specializing in security science, entitled: The impact of information process management on the security of knowledge resources in the enterprise, at the Faculty of Organization and Management of the Lodz University of Technology. Since January 2015, he has been working as an assistant professor at the Faculty of Management at the Technical University of Cz?stochowa. He is a respected researcher in Poland and abroad for his experience in management issues: knowledge and information management and their security. She has published over 160 articles and is the author / co-author / editor of seven books. She actively participated in presenting research results at various international conferences. Early Career Editorial Board of The Journal of Strategic Information Systems IF 14.682 and Editorial Advisory Board of International Journal of Management and Applied Research IF 3.508.Participant in multiple Erasmus+ teacher mobility:, Slovenia, Hungary, Czech Republic, Slovakia, France.

Information safety, industry 5.0, knowledge management, innovation, AI, big data

Fiyad Al-Ebrahaimi, a lecturer of Computer Science and Data Scientist, holds a Master's Degree in Data Science and a Bachelor's Degree in Computer Science. I had authored a research paper titled "Early Prediction of Melanoma Using Image Processing and Convolutional Neural Networks," which was published in the Journal of Harbin Engineering University

Machine Learning Algorithms, Data Mining and Knowledge Discovery , Predictive Analytics , Explainable AI , Natural Language Processing , Big Data Analytics, Big Data Examination and Analysis , Robotics and Artificial Intelligence

Tanya Stanko received the bachelor’s and master’s degrees in applied mathematics from the Moscow Institute of Physics and Technology, Russia, and the Ph.D. degree in computational fluid dynamics from the University of Leeds, U.K. Since 2012, she has been in leadership positions with various universities in Russia. Since 2021 she is an Associate professor at the Graduate School of Management, Saint-Petersburg State University, Russia. Her research interests include engineering education and quantitative tools for data analysis.

STEM education, Diversity in STEM, talented students education, math capital, academic organizational development, academic performance metrics.

I am Mr. Mulugeta Asnakew is working as lecturer starting from 2018 up to now and 10 research publications. I have BA degree in English language and literature from Wachemo University with CGPA OF 3.8 and MA degree in Teaching English as a foreign Language from University of Gondar with excellent thesis result and 3.90 CGPA and Now ten(10) research publications and working as a lecturer at university of Kabridahar

I highly Interested in reviewing and doing Social science related research

Asst. Prof. Dr. Shohreh Ghasemi, DDS, MD, MSc, PhD, PGDI, is a distinguished oral and maxillofacial surgeon, educator, and human rights advocate based in Tehran, Iran. She holds multiple advanced degrees, including a Master’s in Aesthetic Dentistry from Manchester University and a postgraduate degree in Trauma and Craniofacial Reconstruction from Queen Mary University of London. Dr. Ghasemi has held academic positions at Augusta University, the Georgia School of Orthodontics, and Tehran University. She has published notable works on oral and maxillofacial surgery and aesthetic procedures and is a pioneer in applying artificial intelligence to dentistry. Beyond medicine, she founded the Shima Scholarship Academy to support underprivileged students. Recognized as one of the top 10 global cosmetic surgeons, Dr. Ghasemi has made a lasting impact on her profession and community.

Asst. Prof. Dr. Shohreh Ghasemi research interests are Oral Surgery ,AI ,VR, Facial Cosmetic Surgery ,Implantology ,Aerospace

Prof. Dr. V.J.K. Kishor Sonti A passionate professor with over 20 years of teaching, administrative, and research experience. Author of 11 book chapters, a book, and a monograph; 50 peer-reviewed publications; and 3 patents. Supervised 2 doctorates and currently guiding 4 research scholars. Experienced in student development, steering, and implementing activities. Actively mentors schools and colleges to strengthen the innovation ecosystem. Internationally recognized with expertise in video content creation and a recipient of the Erasmus Plus grant. Motivational speaker, innovation ambassador, institution innovation council convener, and Mentor of Change for NITI Aayog, Govt. of India. Awarded for teaching excellence and professional commitment.

Prof. Dr. V.J.K. Kishor Sonti Micro Electronics, Neuroscience,VLSI,Artificial Intelligence, IoT, Vedic Mathematics applications, Wireless Sensor Networks

Prof. Dr. V. GOKULA KRISHNAN is currently working as Professor in the Department of Computer Science and Engineering (Cyber Security) in Easwari Engineering College, Ramapuram, Chennai, Tamil Nadu, India. He has completed his Under-Graduation (BE) in Anna University, Post-Graduation (M.Tech) in Dr. MGR University and Ph.D in Sathyabama Institute of Science and Technology, Chennai. He has more than 18 years of teaching experience in various colleges in Chennai and Hyderabad. He has published several papers in SCI/Scopus/WoS indexed journals and also he has presented various papers in National/International Conferences. His area of interest includes Computer Networks, Computer Architecture, Data Structures and Software Engineering etc. He serves as the guest editor, editorial member and also as reviewer in many reputed international journals. He is a member of Professional Bodies like ISTE, IAENG, CSI and IEEE etc.

Prof. Dr. V. GOKULA KRISHNAN research interests are Computer Networks, IoT, Cloud Computing, Machine Learning