Neuromorphic Computing for Brain Computer Interfaces: Enhanced Synergies in Mind and Machine - Tapa blanda

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Seifedine Kadry is a Professor in the Department of Mathematics and Computer Science, at Norrof University College, in Norway. He has a Bachelor’s degree in 1999 from Lebanese University, MS degree in 2002 from Reims University (France) and EPFL (Lausanne), PhD in 2007 from Blaise Pascal University (France), HDR degree in 2017 from Rouen University. At present, his research focuses on data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an ABET program evaluator for computing, and ABET program evaluator for Engineering Tech. He is a Fellow of IET, Fellow of IETE, and Fellow of IACSIT. He is a distinguished speaker of IEEE Computer Society.

Dr. Lalitha Krishnasamy is currently working as a Professor in the Department of Artificial Intelligence and Data Science, Nandha Engineering College, Erode, Tamil Nadu, India. She completed her Ph.D., from Anna University, Chennai, India in 2019 and M.Tech from Anna University, Coimbatore, India in 2009. She pursued her research in the field of Wireless Sensor Networks. She possesses seventeen+ years of teaching expertise. Her thrust areas of research include Internet of Things, Machine Learning, Deep Learning and Artificial Intelligence. She has published 45+ papers in various International Journals and International Conferences. She has contributed multiple book chapters in reputed publications. She has acted as a session chair and reviewer in numerous international conferences. She obtained 5 patents. Her professional membership includes IEEE, CSI and IAENG.

Dr. Michael Moses Thiruthuvanathan is an Assistant Professor of Computer Science and Engineering at Christ University in Bangalore, India. He holds a Ph.D. in Computer Science and Engineering and also leads the NCC cadets of Airwing of the university. He holds the Rank of Flying officer conferred to him from the Indian Air Force. He is a highly respected academic who has contributed significantly to computer science and engineering. He has authored several research papers in top-tier journals and has presented his work at various national and international conferences. His research interests include Computer Vision, Deep learning, Artificial intelligence, Health Informatics and machine learning. He is known for his innovative research methods and ability to bridge the gap between theory and practice. Apart from his research, Dr. Michael is a dedicated teacher whom his students highly regard. He is known for his ability to explain complex concepts in a simple and easy-to-understand manner, and for his commitment to helping students achieve their academic and professional goals.