Rahman Sejuti

Sejuti Rahman, PhD, is a robotics and mechatronics engineering academic specializing in multimodal machine learning and human behavior analysis for healthcare applications. With postdoctoral research at Carnegie Mellon University and the University of Technology Sydney, she has pioneered AI systems for depression detection, autism screening, and stroke rehabilitation. Author of 41 publications with 500+ citations, she has secured 17 competitive grants as Principal Investigator and received multiple awards for research excellence in healthcare AI. Her expertise integrates graph neural networks, affective computing, and clinical decision support systems to bridge AI and medicine.

1. Associate Professor, Department of Robotics & Mechatronics Engineering, University of Dhaka (2022–Present)
2. Assistant Professor, University of Dhaka (2018–2022)
3. Lecturer, University of Dhaka (2016–2018)

PhD, Computer Engineering, Australian National University, Canberra, Australia (2014)

Thesis: Estimating Reflectance, Illumination, and Shape from a Single View

MSc, Computer Science, University of Tokyo, Japan (2010) – CGPA: 4.00/4.00

Developed multimodal AI systems for mental health and rehabilitation (deployed in hospitals)

Principal Investigator of 17 funded projects, including international collaborations

Published 41 works in Q1 journals, CORE A* conferences, and Springer book chapters

Supervised interdisciplinary teams of engineers, doctors, and psychologists

Multimodal Human Behavior Analysis

AI for Healthcare (Depression, Autism, Stroke Rehabilitation)

Graph Neural Networks for Pattern Recognition

Human-Robot Interaction

Eye-tracking and Visual Saliency Analysis

“AI-Driven Stroke Rehabilitation Systems and Assessment: A Systematic Review,” IEEE TNSRE, 2023 (Q1, IF: 4.5)

“Automated Detection Approaches to Autism Spectrum Disorder,” Cognitive Computation, 2021 (Q1, IF: 4.9)

“Estimating Reflectance Parameters, Light Direction, and Shape from a Single Multispectral Image,” IEEE TCI, 2017 (Q1, IF: 5.6)

Dhaka University Research Excellence Award (2025)

IEEE CIS Grant at IJCNN (2023)

Faculty of Engineering & Technology Dean’s Gold Medal, University of Dhaka (2020)

FB Rice Prize for Patent Innovation, NICTA Australia (2012)