MIDAS

Prof. (Dr.) Vincenzo Piuri
Vincenzo Piuri has received his Ph.D. in computer engineering at Polytechnic of Milan, Italy (1989). He is Full Professor in computer engineering at the University of Milan, Italy (since 2000). He has been Associate Professor at Polytechnic of Milan, Italy and Visiting Professor at the University of Texas at Austin, USA, and visiting researcher at George Mason University, USA. His main research interests are: artificial intelligence, computational intelligence, machine learning, pattern analysis and recognition, intelligent systems, signal and image processing, biometrics, intelligent measurement systems, industrial applications, digital processing architectures, fault tolerance, cloud computing infrastructures, and internet-of-things. Original results have been published in 400+ papers in international journals, proceedings of international conferences, books, and book chapters. He is Fellow of the IEEE, Distinguished Scientist of ACM, and Senior Member of INNS. He is IEEE Region 8 Past Director (2025-26), and has been IEEE Region 8 Director (2023-24), IEEE Vice President for Technical Activities (2015), IEEE Director, President of the IEEE Systems Council, President of the IEEE Computational Intelligence Society, Vice President for Education of the IEEE Biometrics Council, Vice President for Publications of the IEEE Instrumentation and Measurement Society and the IEEE Systems Council, and Vice President for Membership of the IEEE Computational Intelligence Society. He has been Editor-in-Chief of the IEEE Systems Journal (2013-19). He is Associate Editor of IEEE Open Journal on Systems Engineering and has been Associate Editor of the IEEE Transactions on Computers, the IEEE Transactions on Cloud Computing, the IEEE Transactions on Neural Networks, the IEEE Transactions on Instrumentation and Measurement, and IEEE Access. He received the IEEE Instrumentation and Measurement Society Technical Award (2002), the IEEE TAB Hall of Honor (2019), and the Rudolf Kalman Professor Title of the Obuda University, Hungary. He is Honorary Professor at: Obuda University, Hungary; Guangdong University of Petrochemical Technology, China; Northeastern University, China; Muroran Institute of Technology, Japan; Amity University, India; Galgotias University, India; Chandigarh University, India; and BIHER, India.

Keynote Date and Time
Date: 21st March 2025 (Friday)
Time: 12.30PM-1.30PM

Prof. (Dr.) Celestine Iwendi
SMIEEE, FHEA, FIMC

Professor Celestine Iwendi is an IEEE Brand Ambassador, Professor of Artificial Intelligence and the Head of the Centre of Intelligence of Things (CIoTh) at the University of Bolton. With a PhD in Electronics Engineering, he has over 25 years of technical expertise in wireless sensor networks, AI, ML, and IoT. As a Senior Member of IEEE and Chartered Engineer, Celestine has developed testing procedures, provided technical support, and ensured safety compliance for electronic systems. He has received prestigious recognition from the Royal Academy of Engineering under the Exceptional Talent Scheme for his contributions to AI and medical applications, and has been featured in Elsevier's World's Top 2% Influential Scientists list for four consecutive years.

His research spans 13 of the 17 UN SDGs, with 92.6% of his work internationally co-authored, and 60.7% of his publications ranking among the top 25% most-cited globally. He is also a Visiting Professor at five universities worldwide. Celestine is the Chair of the Election Committee of IEEE Computer Society Worldwide 2024. He is the IEEE University of Bolton Student Branch Counsellor and a former Board Member of IEEE Sweden Section, a Fellow of The Higher Education Academy in the United Kingdom, and a Fellow of the Institute of Management Consultants. Additionally, Celestine is an Ambassador in the prestigious Manchester Conference Ambassador Programme.

Keynote Date and Time
Date: 22nd March 2025 (Saturday)
Time: 12.00PM - 1.00PM

Prof. (Dr.) Swagatam Das
Professor Swagatam Das earned his B.E. in Electronics and Telecommunications Engineering, M.E. with a specialization in Control Engineering, and Ph.D.(Engineering) degrees from Jadavpur University, India, in the years 2003, 2005, and 2009, respectively. He is currently a professor at the Electronics and Communication Sciences Unit (ECSU) of the Indian Statistical Institute, Kolkata, India. He is also serving as the Professor-in-Charge of the Computer and Communication Sciences Division (CCSD) of his Institute for the term 2024 - 26. He previously held the position of Professor and Deputy Director at the Institute for Advancing Intelligence (IAI), TCG CREST, Kolkata, India, from April 01, 2023, to March 31, 2024. His research interests encompass deep learning and non-convex optimization, and he has published over 400 research articles in peer-reviewed journals and international conferences. Dr. Das is the founding Co-Editor-in-Chief of Swarm and Evolutionary Computation, an international journal by Elsevier. He has served or is currently serving as an Associate Editor for several prominent journals, including the IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Evolutionary Computation, Pattern Recognition (Elsevier), Neurocomputing (Elsevier), Information Sciences (Elsevier), IEEE Trans. on Systems, Man, and Cybernetics: Systems, among others. He is a member of the editorial board of Information Fusion (Elsevier), Progress in Artificial Intelligence (Springer), Applied Soft Computing (Elsevier), Engineering Applications of Artificial Intelligence (Elsevier), and so on. Dr. Das has received over 33,000 Google Scholar citations and an H-index of 87 to date. He has actively participated in the program committees and organizing committees of renowned international conferences such as NeurIPS, AAAI, AISTATS, ACM Multimedia, BMVC, IEEE CEC, GECCO, and more. He currently serves as an ACM Distinguished Speaker. He received the 2012 Young Engineer Award from the Indian National Academy of Engineering (INAE) and the 2015 Thomson Reuters Research Excellence India Citation Award for being the highest-cited researcher in Engineering and Computer Science in India between 2010 and 2014.

Keynote Date and Time
Date: 21st March 2025(Friday)
Time: 11.00AM-12.00PM

Prof. (Dr.) Mihir Narayan Mohanty
Dr. Mihir Narayan Mohanty is presently working as a Professor in the Department of Electronics and Communication Engineering, Institute of Technical Education and Research, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India. He has received his M.Tech. Degree in Communication System Engineering from the Sambalpur University, Sambalpur, Odisha and done his Ph.D. work in Applied Signal Processing. He has published over 440 papers in International/National Journals and Conferences along with approximately 27 years of teaching experience. He is the active member of many professional societies like IEEE Senior Member, IET, EMC & EMI Engineers India, ISCA, ACEEE, IAEng, CSI and also Fellow of IETE and IE (I). His area of research interests includes Machine Learning, Deep Learning, Applied Signal, Data Analysis using Expert Systems, Image Processing, and Biomedical Signal Processing

Keynote Date and Time
Date: 22nd March 2025(Saturday)
Time: 10.30AM-11.30AM