Alwin Poulouse received a B.Sc. in Computer Maintenance and Electronics from Union Christian College (affiliated with Mahatma Gandhi University), Aluva, India, in 2012; an M.Sc. in Electronics from MES College (affiliated with Mahatma Gandhi University), Marampally, India, in 2014; an M.Tech. in Communication Systems from Christ University, Bangalore, India, in 2017; and a Ph.D. in Electronics and Electrical Engineering from Kyungpook National University, Daegu, South Korea, in 2021. From 2021 to 2022, he was a researcher at the Center for ICT and Automobile Convergence (CITAC) at Kyungpook National University, where he developed multi-intelligence-based human-centric autonomous driving core technology. His research interests include localization, human activity recognition, facial emotion recognition, and human behavior prediction. He is a reviewer of prominent engineering and science international journals and has served as a technical program committee member/session chair for several international conferences. He is currently a Research Fellow at the Department of Electrical and Computer Engineering, University of Michigan, Dearborn, USA.
Research Keywords & Expertise
Deep Learning
Tracking
indoor localization
Facial emotion recogni...
indoor location, indoo...
Navigation and positio...
Human activity recogni...
Fingerprints
42%
Deep Learning
32%
indoor localization
8%
Facial emotion recognition
5%
Human activity recognition (HAR)
5%
Tracking
Short Biography
Alwin Poulouse received a B.Sc. in Computer Maintenance and Electronics from Union Christian College (affiliated with Mahatma Gandhi University), Aluva, India, in 2012; an M.Sc. in Electronics from MES College (affiliated with Mahatma Gandhi University), Marampally, India, in 2014; an M.Tech. in Communication Systems from Christ University, Bangalore, India, in 2017; and a Ph.D. in Electronics and Electrical Engineering from Kyungpook National University, Daegu, South Korea, in 2021. From 2021 to 2022, he was a researcher at the Center for ICT and Automobile Convergence (CITAC) at Kyungpook National University, where he developed multi-intelligence-based human-centric autonomous driving core technology. His research interests include localization, human activity recognition, facial emotion recognition, and human behavior prediction. He is a reviewer of prominent engineering and science international journals and has served as a technical program committee member/session chair for several international conferences. He is currently a Research Fellow at the Department of Electrical and Computer Engineering, University of Michigan, Dearborn, USA.