<Korea-India Joint Center for Depression Diagnosis and Medication Adherence>

AI-MHA

AI-Inspired Solutions for Mental Health Ailments: Prevention, Detection, and Treatment

with The 13^thInternational Conference on Intelligent Human Computer Interaction, (IHCI-2021), Kent State University, Ohio, USA, December 20-22, 2021

AI-Inspired Solutions for Mental Health Ailments: Prevention, Detection, and Treatment

About Workshop

Mental health ailments consist of a wide range of conditions that affect mood, thinking and behavior. Depression is one of the most common observation in human minds. Depression in the modern century has become the most common symptom that is being observed in humans. People living in developed as well as poor countries are facing the heat of depression for various reasons. With the global community reeling under Covid19 pandemic and its variants, people have lost lives, have become jobless and a gloom has descended upon their future projections. The result is depression which have seen a phenomenal growth in all age groups. Therefore, we believe that AI inspired Solutions is the simulation of human intelligence processes by machines, especially computer systems. AI constitutes of machine learning, NLP and Deep learning domains. These domains can help to fight mental stress and depression in the current scenario. Similarly, Deep learning combined with Computer Vision can have a far insight on human emotions, human poses, and human postures so as to ascertain their emotional stress. Their behavior history can help to prepare the next day schedule using machine learning solutions. Finally, we believe that, AI can fill this gap so as to present a viable anti depression solution so that humans can cope with their reality and still be happy.

Workshop Chairs

Bong Jun Choi is an associate professor at the School of Computer Science & Engineering and jointly at the School of Electronic Engineering, Soongsil University, Seoul, Korea. Previously, he was an assistant professor at the Department of Computer Science, State University of New York Korea, Korea, and concurrently a research assistant professor at the Department of Computer Science, Stony Brook University, USA. He received his B.Sc. and M.Sc. degrees from Yonsei University, Korea, both in Electrical and Electronics Engineering, and the Ph.D. degree from the University of Waterloo, Canada, in Electrical and Computer Engineering. His current research focuses on distributed artificial intelligence, distributed intelligent energy networks, and security. He is a senior member of the IEEE and a member of the ACM.

Dr. Hanumant Singh Shekhawat is working at Indian Institute of Technology Guwahati as an Assistant Professor in the Department of Electronics and Electrical Engineering. He did his postdoc from the Department of Electrical Engineering, Eindhoven University of Technology, and The Netherlands. His research was on multi-linear data (tensor) reduction techniques, which has applications in video/speech processing, MRI and (higher dimensional) data analysis. He completed his PhD in Nov 2012, from the Department of Applied Mathematics, University of Twente, The Netherlands. His research was related to optimization problems in sampling and interpolation. He has completed his masters (in 2004) from the Department of Electrical engineering and his bachelor in Electronics and communication engineering (in 2002) from Indian Institute of Technology Bombay and Rajasthan University in India, respectively. After the master degree, he worked in the Texas Instruments India and Sasken Communications India for around four years in the area of electronics, software and algorithm development. He had visiting faculty position in University of Pardubice, Czech Republic during May-June 2019. Currently, his work is related to problems in radar, tensor, speech, signals and systems.

Dhananjay Singh is a Full Professor/Director of ReSENSE Labs in the Department of Electronics Engineering at Hankuk University of Foreign Studies (HUFS), Seoul, South Korea. He is Advisor/co-founder/CTO of MtoV, VESTELLA and COIKOSITY to provide an innovative solutions based on AI, Blockchain, BigData Analysis and IoT for Smart City Technologies and services. He is the recipient of U.P. NRI award (Apravasi Bharatiya Ratna Puraskar) for the outstanding work in the field of Technology in the year 2019, Varanasi, India. He is a Senior Member of IEEE and ACM societies. He is a series Editor of Springer Blockchain Technologies and Associate Editor of PlosOne Journal.

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Paper Registration

Abstract/Paper Registration Due: Oct 1, 2021

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