The University of Texas at San AntonioI am a Ph.D. candidate in Computer Science at the University of Texas at San Antonio, where I work in the San Antonio Virtual Environment Lab (SAVE Lab) under the supervision of Dr. John Quarles. My research sits at the intersection of extended reality and artificial intelligence, focusing on cybersickness prediction, cognitive load estimation, and affective modeling in VR using multimodal physiological signals and deep learning.
My work has been published in venues including IEEE TVCG, IEEE ISMAR, IEEE VR, and ACM VRST.
Before joining UTSA, I worked as a Data Engineer at Bangladesh Bank and Robi Axiata, where I built large-scale ETL pipelines and data analytics systems. I bring a strong foundation in PyTorch, TensorFlow, computer vision, and AR/VR development.
Education
-
The University of Texas at San AntonioDepartment of Computer Science
Ph.D. CandidateJan. 2023 - present -
The University of Texas at San AntonioM.S. in Computer Science (CGPA - 4.00)Jan. 2023 - Jul. 2026
-
University of DhakaB.Sc. in Computer Science & Engineering (CGPA - 3.37)Jan 2015-Jan 2019
Experience
-
University of Texas at San AntonioGraduate Research AssistantJan. 2023 - Present
-
Bangladesh BankData EngineerNov. 2020 - Dec. 2023 -
Robi Axiata Ltd.Data EngineerMay. 2020 - Nov. 2020
News
Selected Publications (view all )
Predicting and Explaining Cognitive Load, Attention, and Working Memory in Virtual Multitasking
Jyotirmay Nag Setu, Joshua M Le, Ripan Kumar Kundu, Barry Giesbrecht, Tobias Höllerer, Khaza Anuarul Hoque, Kevin Desai, John Quarles
IEEE transactions on visualization and computer graphics 2025 Journal
This study shows the similarity between cybersickness and cognitive load prediciton research. We showed how the same modalities can be used to build prediciton models for cogntiive load assessment.
Predicting and Explaining Cognitive Load, Attention, and Working Memory in Virtual Multitasking
Jyotirmay Nag Setu, Joshua M Le, Ripan Kumar Kundu, Barry Giesbrecht, Tobias Höllerer, Khaza Anuarul Hoque, Kevin Desai, John Quarles
IEEE transactions on visualization and computer graphics 2025 Journal
This study shows the similarity between cybersickness and cognitive load prediciton research. We showed how the same modalities can be used to build prediciton models for cogntiive load assessment.
Mazed and confused: A dataset of cybersickness, working memory, mental load, physical load, and attention during a real walking task in VR
Jyotirmay Nag Setu, Joshua M Le, Ripan Kumar Kundu, Barry Giesbrecht, Tobias Höllerer, Khaza Anuarul Hoque, Kevin Desai, John Quarles
IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2024 Conference
A dataset that collects multimodal data including eye-tracking, head-tracking, Hear Rate (HR), Galvanic Skin Response (GSR) alongside ground truth values for cybersickness, physical load, mental load, attention and working memory while participants are performing multiple tasks.
Mazed and confused: A dataset of cybersickness, working memory, mental load, physical load, and attention during a real walking task in VR
Jyotirmay Nag Setu, Joshua M Le, Ripan Kumar Kundu, Barry Giesbrecht, Tobias Höllerer, Khaza Anuarul Hoque, Kevin Desai, John Quarles
IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2024 Conference
A dataset that collects multimodal data including eye-tracking, head-tracking, Hear Rate (HR), Galvanic Skin Response (GSR) alongside ground truth values for cybersickness, physical load, mental load, attention and working memory while participants are performing multiple tasks.