AEECA 2026

Pascal Lorenz received his M.Sc. (1990) and Ph.D. (1994) from the University of Nancy, France. He is a professor at the University of Haute-Alsace, France, since 1995. He is the author/co-author of 3 books, 3 patents and 200 international publications in refereed journals and conferences. He was Technical Editor of the IEEE Communications Magazine Editorial Board (2000-2006), IEEE Networks Magazine since 2015, IEEE Transactions on Vehicular Technology since 2017, Chair of IEEE ComSoc France (2014-2020), Financial chair of IEEE France (2017-2022), Chair of Vertical Issues in Communication Systems Technical Committee Cluster (2008-2009), Chair of the Communications Systems Integration and Modeling Technical Committee (2003-2009), Chair of the Communications Software Technical Committee (2008-2010) and Chair of the Technical Committee on Information Infrastructure and Networking (2016-2017). He has served as Co-Program Chair of IEEE WCNC'2012 and ICC'2004, Executive Vice-Chair of ICC'2017, TPC Vice Chair of Globecom'2018, Panel sessions co-chair for Globecom'16, tutorial chair of VTC'2013 Spring and WCNC'2010, track chair of PIMRC'2012 and WCNC'2014, symposium Co-Chair at Globecom 2007-2011, Globecom'2019, ICC 2008-2010, ICC'2014 and '2016. He has served as Co-Guest Editor for special issues of IEEE Communications Magazine, Networks Magazine, Wireless Communications Magazine, Telecommunications Systems and LNCS. He is associate Editor for International Journal of Communication Systems (IJCS-Wiley), Journal on Security and Communication Networks (SCN-Wiley) and International Journal of Business Data Communications and Networking, Journal of Network and Computer Applications (JNCA-Elsevier). He is senior member of the IEEE, IARIA fellow and member of many international program committees. He has organized many conferences, chaired several technical sessions and gave tutorials at major international conferences.

Neil Gordon is a professor in Computer Science. He has research interests at the interface of mathematics with computer science, particularly in the areas of finite geometry and its applications and in formal approaches. He is also an advocate for the effective development and use of technology for teaching, especially in higher education, and has worked on a number of projects with the AdvanceHE. After a joint degree in Mathematics and Computer Science, he went on to complete a PhD in Applied Mathematics (Finite Geometry and Computer Algebra, with Applications). This was followed by work as a Research Assistant, initially on geometry and group theory, and later on solving differential equations and their applications in mathematical physics. He worked for some time as an Educational Technology Advisor, exploring and supporting the use of computer technology in teaching mathematics. In 2000, he began working as a lecturer in Computer Science. In that time he has been responsible for admissions, staff development, module leader on multiple modules and the programme leader for a variety of degree programmes. He was head of Computer Science from 2016 to 2018. He was the lead tutor for the Faculty of Science Foundation Year for several years, and has been the senior lead academic on a number of KTP projects for the faculty. More widely across campus, he is a regular chair or member of programme approval and review panels, of the Hull DARTE scheme to recognise and award AdvanceHE accredited fellowships, and has led working groups developing our approach to digital assessment, and to supporting and enhancing the work of external examiners. Neil is chair (2022 to present) of the British Computer Societies Ethics specialist group, and is a regular speaker on the topic of ethics and professionalism, sustainability and, more recently, the ethical implications of Generative AI.

Philip W. T. Pong received a B.Eng. from the University of Hong Kong (HKU) with 1st class honours. Then he obtained a PhD in engineering at the University of Cambridge. He was a postdoctoral researcher at the Magnetic Materials Group at the National Institute of Standards and Technology (NIST) for three years. Currently he is an Associate Professor in the Department of Electrical and Computer Engineering at New Jersey Institute of Technology (NJIT). His research interest focuses on the fault detection, predictive maintenance, and anomaly detection of power grid. He is the Founding Director of the Green Technology Research and Training Laboratory, leading the research and education activities of offshore wind energy at NJIT. Philip Pong is a Fellow of the Institution of Engineering and Technology (FIET), a Fellow of the Institute of Physics (FInstP), a Fellow of the Energy Institute (FEI), a Fellow of the Institute of Materials, Minerals and Mining (FIMMM), a Fellow of the Hong Kong Institution of Engineers (FHKIE), a Fellow of the NANOSMAT Society (FNS), a chartered physicist (CPhys), a chartered engineer (CEng), a chartered energy engineer, a registered professional engineer (R.P.E. in Electrical, Electronics, Energy), and a Senior Member of IEEE (SMIEEE). He serves on the editorial boards for several IEEE and SCI journals.

Vishnu S. Pendyala, PhD is a faculty member in Applied Data Science and an Academic Senator with San Jose State University, current chair of the IEEE Computer Society Santa Clara Valley chapter, and IEEE Computer Society Distinguished Contributor. During his recent 3-year term as an ACM Distinguished speaker and before that as a researcher and industry expert, he gave numerous (50+) invited talks in conferences, faculty development programs, and other forums some of which are available on YouTube and IEEE.tv. He is a senior member of the IEEE and has over two decades of experience in the software industry in the Silicon Valley, USA. His book, "Veracity of Big Data," is available in several libraries, including those of MIT, Stanford, CMU, the US Congress and internationally. Two other books on machine learning and software development that he edited are also well-received and found place in the US Library of Congress and other reputed libraries. Dr. Pendyala taught a one-week course sponsored by the Ministry of Human Resource Development (MHRD), Government of India, under the GIAN program in 2017 to Computer Science faculty from all over the country and delivered the keynote in a similar program sponsored by AICTE, Government of India in 2022. Dr. Pendyala recently served on a US government's National Science Foundation (NSF) proposal review panel. He received the Ramanujan memorial gold medal and a shield for his college at the State Math Olympiad. He also played an active role in Computer Society of India and was the Program Secretary for its annual national convention. He served as an Area Governor with Toastmasters International and received the Distinguished Toastmaster, Area Governor of the Year, and Silver Scribe award.

Danilo Avola earned his Ph.D. degree in Molecular and Ultrastructural Imaging from University of L'Aquila, L'Aquila, Italy, in 2014. Since 2021 he is Assistant Professor at the Department of Computer Science of Sapienza University of Rome, where he leads both the Robotics Vision and Artificial Intelligence Laboratory (TITAN Lab) and the Computer Vison Laboratory (VisionLab). In addition, since 2018 he is R&D Senior Engineer at the W•SENSE s.r.l., a spin-off of Sapienza University of Rome, where he leads the Computer Vision Team (CVT), and since 2010 he provides consultation and collaboration to companies engaged in computer science, computer vision, and artificial intelligence research projects. Previously, he was postdoc researcher at the Department of Mathematics, Computer Science and Physics (DMIF), University of Udine, Udine, Italy, and R&D Senior Engineer at the Artificial Vision and Real-Time Systems Laboratory (AVIRES Lab) at the same University. Even before, he was R&D Senior Engineer and Supervisor, earlier, at the Multimodal & Multimedia Laboratory (M&M Lab) of the National Research Council, Rome, Italy, and, later, both at the Pictorial Computing Laboratory (PCL Lab) and at the Artificial Vision Laboratory (AV Lab) of Sapienza University of Rome. Among other awards and prizes, Danilo Avola received, in 2020, the Outstanding Paper Award for IEEE Transactions on Industrial Informatics (TII). Currently, he is Reviewer of top International Journals in Computer Vision, including Pattern Recognition, Pattern Recognition Letters, IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Human-Machine Systems, and International Journal of Computer Vision; in addition, he is Associate Editor and Guest Editor of different ranked International Journals. His research interests include Computer Vision, Image/Video Processing, Human Computer Interaction, Wi-Fi Signal Processing, EGG Signal Processing, Machine/Deep Learning, Multimodal Systems, Pattern Recognition, Event/Action/Affect Recognition, Action, Scene Understanding, Body Language and Face Expression Interpretation, Robotics (UAVs, AUVs, ROVs, Humanoids), and has published around 100 papers on these topics. Since 2011, Danilo Avola is member of IAPR, CVPL, and IEEE.

Vladan Devedzic is a Professor of Computer Science and Software Engineering at the University of Belgrade, Faculty of Organizational Sciences, Belgrade, Serbia. He also used to teach several Computer Science courses at the School of Electrical Engineering, University of Belgrade, as well as at the Military Academy of Serbia (ex Yugoslav Military Academy). Since 2021, he is a Corresponding Member of the Serbian Academy of Sciences and Arts (SASA). He is the founder and the Chair of the GOOD OLD AI research network. Vladan Devedzic has authored/co-authored numerous research papers, published in international and national journals and in edited books, or presented at international and national conferences, as well as six books on intelligent systems and software engineering. Vladan Devedzic is an Associate Editor of the International Journal of Technology Enhanced Learning, and a member of Editorial Boards of three other international scientific journals: International Journal of Web based Communities, International Journal of Knowledge and Learning, and Electronics and Energetics. Vladan Devedzic has given 24 tutorials at international conferences, two in-house tutorials, and has participated as a presenter in a number of national and international seminars.

Dr Michael Agyemang Adarkwah is a Research Associate at the Institute for Education and Culture, at the Chair of Adult Education, Friedrich Schiller University Jena, Germany. His habilitation is on the application and implication of learning technologies in adult education in this artificial intelligence (AI) era with a focus on challenges, policy, and best practices. He was a Postdoctoral Researcher at Smart Learning Institute, Beijing Normal University (BNU), China. He obtained his Ph.D. in Education Leadership and Management from Southwest University, China. He has a master’s degree in Educational Administration and Leadership and a bachelor of science degree in Nursing from Valley View University, Ghana. He worked as a Registered Nurse (RGN) in Ghana. He has given keynote speeches on Artificial Intelligence in Higher Education at the University of Portsmouth-Kaplan Symposium, the University of South Africa (UNISA), the University of Ghana, Philippine Normal University (The National Center for Teacher Education) and Mariano Marcos State University (Comparative Education and Students Critical Leadership Society). His research interests are teaching and learning, motivation, assessment, digitalization, computers and education, adult education, special education, online learning, and healthcare education. He has Edited three Springer books on Design in Education, Educational Robotics, and AI in Education (AIED). He is an International Peer Reviewer and serves on the editorial board of multiple journals. He served as a Guest Editor for the International Journal of Smart Technology and Learning. He is an Editor of the book series Assessment of Educational Technology (AET) at Routledge. He is an Associate Editor for SN Social Sciences, the Journal of Applied Learning and Teaching (JALT), and the Journal of University Teaching and Learning Practice (JUTLP).

Dr. Xiangjie Kong is currently a Full Professor in the College of Computer Science & Technology, Zhejiang University of Technology (ZJUT), China. Previously, he was an Associate Professor in School of Software, Dalian University of Technology (DUT), China, where he was the Head of the Department of Cyber Engineering. He is the Founding Director of City Science of Social Computing Lab (The CSSC Lab). He is/was on the Editorial Boards of 6 International journals. He has served as the General Co-Chair, Workshop Chair, Publicity Chair or Program Committee Member of over 30 conferences. Dr. Kong has authored/co-authored over 140 scientific papers in international journals and conferences. His research has been reported by Nature Index and other medias. He has been invited as Reviewers for numerous prestigious journals. Dr. Kong has authored/co-authored three books (in Chinese). He has contributed to the development of 14 copyrighted software systems and 20 filed patents. He is named in the2019 and 2020 world's top 2% of Scientists List published by Stanford University. Dr. Kong received IEEE Vehicular Technology Society 2020 Best Land Transportation Paper Award, and The Natural Science Fund of Zhejiang Province for Distinguished Young Scholars. He has been invited as Keynote Speaker at 2 international conferences, and delivered a number of Invited Talks at international conferences and many universities worldwide. His research interests include big data, network science, and computational social science. He is a Distinguished Member of CCF, a Senior Member of IEEE, a Full Member of Sigma Xi, and a Member of ACM.

Yang Yue received the B.S. and M.S. degrees in electrical engineering and optics from Nankai University, China, in 2004 and 2007, respectively. He received the Ph.D. degree in electrical engineering from the University of Southern California, USA, in 2012. He is currently a Professor with the School of Information and Communications Engineering, Xi'an Jiaotong University, China. He is the founder and current PI of Intelligent Photonic Application Technology Laboratory (iPatLab). Dr. Yue’s current research interest is intelligent photonics, including optical communications, optical perception, and optical chip. He has published ~300 journal papers (including Science) and conference proceedings with >12,000 citations, one book, seven edited books, two book chapters, >70 issued or pending patents, >200 invited presentations (including 1 tutorial, >30 plenary and >80 keynote talks). Dr. Yue is a Fellow of SPIE, a Senior Member of IEEE and Optica. He is also among the Top 2% Scientists List Worldwide by Stanford University. He is an Associate Editor for IEEE Access and Frontiers in Physics, Editor Board Member for four other scientific journals, Guest Editor for >10 journal special issues. He also served as Chair or Committee Member for >100 international conferences, Reviewer for >70 prestigious journals.

Min Wang is a professor, Vice Dean, and Head of the New-Generation Electronic Information Technology Discipline at Southwest Petroleum University; Deputy Secretary-General of the Information Technology Committee of Sichuan Petroleum Society; Deputy Secretary-General of the Intelligent Systems Engineering Professional Committee of the Chinese Association for Artificial Intelligence; Editorial Board Member of the Journal of Chengdu University of Technology; Government Information Expert for Mianyang Municipality; Project Evaluation Expert for the Chengdu-Chongqing Economic Circle; Reviewer for National Defense 173 Program, the National Natural Science Foundation, the Postdoctoral Science Foundation, and provincial-level science and technology departments (e.g., Sichuan, Chongqing, and others). Her research focuses on artificial intelligence, data mining, and signal analysis/processing in oil and gas fields. She has led over 20 projects funded by the National Natural Science Foundation and authored more than 30 SCI-indexed papers as the first author in top-tier journals, including TCSVT.

Dr. Siddhartha Bhattacharyya (Senior Member, IEEE) completed PhD in Computer Science and Engineering from Jadavpur University, India in 2008. He has been appointed as the ACM Distinguished Speaker for the tenure 2018-2020. He is currently serving as a Professor in the Department of Computer Science and Engineering of Christ University, Bangalore. He is a co-author of 5 books and the co-editor of 54 books and has more than 280 research publications in international journals and conference proceedings to his credit. He is the Associate Editor of several reputed journals including Applied Soft Computing, IEEE Access, Evolutionary Intelligence and IET Quantum Communications. He is the editor of International Journal of Pattern Recognition Research and the founding Editor in Chief of International Journal of Hybrid Intelligence, Inderscience. Dr. Bhattacharyya is a life fellow of Optical Society of India (OSI), India, life fellow of International Society of Research and Development (ISRD), UK, a fellow of Institute of Electronics and Telecommunication Engineers (IETE), India and a fellow of Institution of Engineers (IEI), India. He is also a senior member of International Institute of Engineering and Technology (IETI), Hong Kong and Association for Computing Machinery (ACM), USA. He is a life member of Cryptology Research Society of India (CRSI), Computer Society of India (CSI), Indian Society for Technical Education (ISTE), Indian Unit for Pattern Recognition and Artificial Intelligence (IUPRAI). He is a member of Institution of Engineering and Technology (IET), UK, International Rough Set Society, International Association for Engineers (IAENG), Hong Kong, Computer Science Teachers Association (CSTA), USA, International Association of Academicians, Scholars, Scientists and Engineers (IAASSE), USA, The International Society of Service Innovation Professionals (ISSIP) and The Society of Digital Information and Wireless Communications (SDIWC). He is also a certified Chartered Engineer of Institution of Engineers (IEI), India.

Dr. Umesh C. Pati is a Full Professor at the Department of Electronics and Communication Engineering, National Institute of Technology (NIT), Rourkela. He has obtained his B.Tech. Degree in Electrical Engineering from National Institute of Technology (NIT), Rourkela, Odisha. He received both M.Tech. and Ph.D. degrees in Electrical Engineering with specialization in Instrumentation and Image Processing, respectively, from the Indian Institute of Technology (IIT), Kharagpur. He is currently serving as Chairperson, International Students Cell, NIT Rourkela. He has also served as Head, Career Development Center, NIT Rourkela for three years.

His current areas of interest are Image/Video Processing, Computer Vision, Artificial Intelligence, Medical Imaging, Internet of Things (IoT), Industrial Automation, and Instrumentation Systems. He has authored/edited two books and published more than 125 articles in the peer-reviewed international journals as well as conference proceedings. He has served as a reviewer in a wide range of reputed international journals and conferences. He has delivered a number of Keynote/Invited Talks at various International/National platforms. He has also guest-edited Special Issues of Cognitive Neurodynamics and the International Journal of Signal and Imaging System Engineering. Dr. Pati has filed 3 Indian patents. Besides other sponsored projects, he is currently associated with a high-value IMPRINT project, “Intelligent Surveillance Data Retriever (ISDR) for Smart City Applications,” which is an initiative of the Ministry of Education and Ministry of Housing and Urban Affairs, Govt. of India.

He has visited countries like the USA, Italy, Austria, Australia, Singapore, Mauritius, Bangladesh, Nepal, etc., in connection with research collaboration and paper presentations. He was also an academic visitor to the Department of Electrical and Computer Engineering, San Diego State University, USA, and the Institute for Automation, University of Leoben, Austria. He is a Senior member of IEEE, Fellow of The Institution of Engineers (India), Fellow of The Institution of Electronics and Telecommunication Engineers (IETE), and life member of various professional bodies like MIR Labs (USA), The Indian Society for Technical Education, Instrument Society of India, Computer Society of India, and Odisha Bigyan Academy. His biography has been included in the 32nd edition of MARQUIS Who’s Who in the World 2015. He is also recipient of Torchbearer of Education Award 2020 by Coding Ninjas.

Dr. Chinmay Chakraborty, IEEE Senior Member, has worked as a Sr. Lecturer at the ICFAI University in Tripura, India, and as a Research Consultant in the Coal India project at Industrial Engineering & Management, IIT Kharagpur. He has also served as the Project Coordinator of the Telecommunication Convergence Switch project under the Indo-US joint initiative. In addition, he has worked as a Network Engineer in System Administration at MISPL, India. He is currently an A/Professor at Birla Institute of Technology, Mesra, India. Dr. Chakraborty has a strong publication record with over 200 articles in peer-reviewed international journals, conferences, and book chapters. He has also authored 25+ books, obtained 6+ patents, and edited 20+ special issues in the field. He serves as an Editorial Board Member for various journals and conferences and holds positions as Deputy EiC of IEEE TCEL, an Associate Editor for IEEE TII, IEEE ISJ, IECE, IJEECS, Journal of Biomedical and Biological Sciences, HCIS, Springer BMC Bioinformatics, JIFS, IJECD, Int. His contributions have also been recognized with the Outstanding Researcher Award and Outstanding Paper in the 2022 Emerald Literati Awards. He has secured a top 2% position among global scientists in "Artificial Intelligence and Image Processing" by Stanford University in both 2021-24. He has also received a Marie Skłodowska-Curie Actions Europe Fellowship Grant, Horizon 2023, and has been nominated as a "Prominent Young Researcher" at the National Frontiers of Engineering Symposium, National Academy of Engineering (INAE), SERB, Govt. of India.

Dr. Khan has more than 19 years of teaching and research experience. He is also holding the charge of Training and Placement Officer, University Polytechnic. His research areas of interest are in the fields of Electrical Machines, Standalone / Grid connected Wind Energy Conversion Systems, Multi-Phase Electrical Machines and Drives, Matlab/Simulink based analysis of Electrical Machines and related fields. Dr. Khan has published in IEEE Transactions, WILEY Transactions, JESTECH and Energy Reports Journals of ELSEVIER, and IJPEC of INDERSCIENCE etc. He also has an Indian patent for a technology on design and development of Multi-phase self excited induction generators. His research papers have been presented at a number of flagship IEEE conferences most prominent being IEEE-PEDES-2012, 2014 and 2016; IEEE-INDICON 2013 (IN INDIA) and abroad such as IEEE-IECON 2012 (US), Tencon-Spring 2013 (Australia) and IEEE-CEAT 2013 (Malaysia). His cumulative research contributions in IEEE Xplore amount to more than one and a half dozen. He has delivered more than 2 dozen talks at various international and national level conferences, invited lectures etc. He regularly reviews manuscripts for IEEE Transactions, Wiley, IET, Taylor and Francis and Springer publications. His research contributions have been recognized at national and international level events by a number of awards bestowed on him.

Dr. Pooja Singh received his Ph.D. degree from Indian Institute of Technology (Banaras Hindu University). She has experience of 21 years in world's leading CMMi-5 software multinational companies, research organizations and academic institutes. She is currently Assistant Professor in SIES Graduate School of Technology, Navi Mumbai, and has distinction of working in the field of Image processing, Artificial intelligence, Mathematical Modelling, reliability engineering, safety engineering and other mathematical sciences for to solve the various technical challenges in Nuclear Power Plants. She has an illustrious career and succeeded in several critical jobs assigned to him in his illustrious career, though, each of them was challenging. Her assignments over the years range from design, development, testing, IV&V, related research and site validation of the safety critical computer based systems of Indian Nuclear Power Plants. She has publishe d several research papers in journals of high impact factor like IEEE Transactions, IEEE Computer, ACM, Elsevier, Quality & Reliability International, etc . She is recipient of many awards like prestigious IEEE K. Shankar award, publication award, etc . She has also received IEEE Woman Technologist award. She is a reviewer of several SCI indexed journals of high impact factor, including 14 different IEEE Transactions. She is a life member of Indian Nuclear Society . She is a Senior Member of IEEE. She has been invited for keynote speeches, and talks in many international IEEE and other conferences. She is a member of editorial board of many reputed journals and guest lead editor of many special issues. She is supervising many PhD students of different reputed institutes. She is actively involved in formation of interdisciplinary Centre of Dependability Engineering at IIT (BHU). She has several international research collaborations. Her research interests are in the area of mathematical modelling, image processing, artificial intelligence, reliability, system design, safety and security of safety critical computer based systems. So far she has completed many projects of Department of Atomic Energy, Government of India and Department of Science and Technology, India.