Invited Talk at Muroran Institute of Technology (2024/8/1)
Time: 12: 55 – 14: 25 (JST), August 1, 2024.
Location: R205, Education & Research Building No. 8, Muroran Institute of Technology, 27-1 Mizumoto-cho, Muroran, Hokkaido, 0508585 Japan.
CO-ORGANIZED BY:
IEEE Muroran Institute of Technology Student Branch
IEEE Sapporo Section Young Professionals (YP)
Emerging Networks and Systems Laboratory (ENeS), Muroran Institute of Technology
Topic: Brain stimulation in the are of deep learning
Speaker: Rashed Essam, Professor, University of Hyogo, Japan
Abstract:
Electromagnetic stimulation of the human brain is a key tool for neurophysiological characterization and the diagnosis of several neurological disorders. The convergence of neuroscience and artificial intelligence has paved the way for revolutionary advancements in brain research and therapeutic interventions. With the emergence of deep learning, several complicated problems in the field become more interpretable. We delve into the mechanisms of brain stimulation methods such as Transcranial Magnetic Stimulation (TMS) and Transcranial Direct Current Stimulation (tDCS), highlighting their potential to modulate neural activity and treat neurological disorders. The integration of deep learning in this field offers unprecedented opportunities for personalized medicine and real-time adaptive interventions. Attendees will gain insights into cutting-edge research, practical applications, and the transformative potential of combining brain stimulation with deep learning methodologies.
Biography:
He received his Ph.D. (Eng.) in Computer Science from the University of Tsukuba, Japan in 2010. He was a JSPS Research Fellow at the University of Tsukuba (2010-2012). He served as Assistant/Associate/Full Professor of Computer Science at Suez Canal University, Egypt. He was a research Professor at Nagoya Institute of Technology, Japan. Currently, he is a Professor at the Graduate School of Information Science, University of Hyogo, Japan. His research interests include medical image processing, data science, artificial intelligence and pattern recognition. Dr. Rashed is IEEE Senior Member, Associate Editor of the IEEE Access, and Member of IEEE International Committee on Electromagnetic Safety (ICES). In 2024, he was a recipient of the commendation for Science and Technology (Development Category) by the Minister of MEXT, Japan. He participated as a PI and CoI for several external funded projects.
Contact:
Emerging Networks and Systems Laboratory (ENeS)
Email: [email protected]