Organizers
Dr Vinay Kumar
Department of Electronics and Communication Engineering, Thapar Institute of Engineering & Technology, Patiala, India
Vinay is an assistant professor in Department of Electronics and Communication Engineering at Thapar Institute of Engineering and Technology, Patiala, India. His areas of research are Artificial Intelligence, Image and Video processing. He has published many papers in various journals and conferences. He worked with Grupo de Procesado Multimedia prior to joining Thapar.
Dr Rahul Upadhyay
Department of Electronics and Communication Engineering, Thapar Institute of Engineering & Technology, Patiala, India
Rahul Upadhyay received the Engineering degree in Electronics and Communication Engineering from Rajiv Gandhi Technical University, Bhopal, India, and the Ph.D. degree in Biomedical Signal Processing from the Indian Institute of Information Technology, Jabalpur, India, in 2009 and 2016, respectively. Since late 2016, he has been working as Assistant Professor in the Department of Electronics and Communication Engineering, Thapar University, Patiala, India. His research interests include Biomedical Signal and Image processing, Soft Computing techniques and Brain Computer Interface.
Dr Luca Longo
School of Computer Science, Technological University Dublin, Dublin, Ireland
Dr. Longo is a curious individual deeply devoted to and highly passionate for science. He strives for excellence and contribution to knowledge. He received his doctoral degree in Artificial Intelligence at Trinity College Dublin after a bachelor and masters in Computer Science, Statistics and Health Informatics. He is actively engaged in dissemination of scientific material to the public as his TEDx talks demonstrate. He has received various awards both for his research work and for his teaching. With his team of doctoral and post-doctoral students, he conducts fundamental research in Explainable Artificial Intelligence, Defeasible Reasoning and Non-monotonic Argumentation. He also performs applied research in Machine Learning and predictive data analytics, mainly applied to the problem of mental workload modelling.