This is Rokon. I am a Computer Science PhD student at Louisiana State University, advised by Dr. Reza Anaraky in the ACT Lab. My research lies at the intersection of Human-Computer Interaction (HCI), Human-AI Interaction, and Privacy, with a current focus on quantifying the cognitive burden of UI dark patterns on older adults using EEG.
Previously, I was an R&D Software Engineer at Frontier Semiconductor (Milpitas, CA), where I built CUDA-accelerated metrology software shipped to TSMC, Intel, SK Hynix, and Texas Instruments. I earned my B.Sc. in CSE from the Military Institute of Science and Technology (MIST) in Dhaka, Bangladesh.
I am actively looking for Summer 2026 internship opportunities.
Education
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Louisiana State UniversityDepartment of Computer Science
PhD StudentBaton Rouge, LAAug 2025 - present -
Military Institute of Science and Technology (MIST)B.Sc. in Computer Science and EngineeringDhaka, BangladeshJan 2018 - May 2022
Experience
Honors & Awards
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100+ citations on Google Scholar2025
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MIST research incentive — Springer Book Chapter2025
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Stanford Code In Place — Section Leader2023
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2nd, Soccer Bot Challenge, Robo-Carnival, BUET2021
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Best Ambassador, IEEE CS BDC Winter Symposium2020
News
Selected Publications (view all )
ChatGPT versus Bard: A Comparative Study
Imtiaz Ahmed, Mashrafi Kajol, Uzma Hasan, Partha Protim Datta, Ayon Roy, Md Rokonuzzaman Reza
Engineering Reports (Wiley) 2024 Wiley Journal
A comparative study evaluating ChatGPT and Bard across multiple dimensions including reasoning, factual accuracy, code generation, and contextual understanding. Provides empirical evidence on the relative strengths and limitations of each large language model for downstream tasks.
ChatGPT versus Bard: A Comparative Study
Imtiaz Ahmed, Mashrafi Kajol, Uzma Hasan, Partha Protim Datta, Ayon Roy, Md Rokonuzzaman Reza
Engineering Reports (Wiley) 2024 Wiley Journal
A comparative study evaluating ChatGPT and Bard across multiple dimensions including reasoning, factual accuracy, code generation, and contextual understanding. Provides empirical evidence on the relative strengths and limitations of each large language model for downstream tasks.
Towards Designing Intuitive Mobile UIs Considering Tapping Behaviour of Elderly Users
Md Rokonuzzaman Reza, Md Shadman Aadeeb, Shaqran Bin Saleh, Muhammad Nazrul Islam
Springer DIGICOM 2023 2023 DIGICOM Conference
An empirical study of how older adults interact with mobile interfaces through tapping. Identifies patterns in tap accuracy, target size preferences, and gesture comfort, then derives design guidelines for elderly-friendly mobile UIs.
Towards Designing Intuitive Mobile UIs Considering Tapping Behaviour of Elderly Users
Md Rokonuzzaman Reza, Md Shadman Aadeeb, Shaqran Bin Saleh, Muhammad Nazrul Islam
Springer DIGICOM 2023 2023 DIGICOM Conference
An empirical study of how older adults interact with mobile interfaces through tapping. Identifies patterns in tap accuracy, target size preferences, and gesture comfort, then derives design guidelines for elderly-friendly mobile UIs.
Thermique: An Integrated AI-Based Temperature Sensing and Management System to Hold Back COVID-19 Contamination
Md Rokonuzzaman Reza, Shaqran Bin Saleh, Tashfia Fatema, Ishraq Hasan, Muhaimin Bin Munir, Md Fazle Rabbi
ACM ICCA 2022 2022 ICCA Conference
A low-cost embedded system that combines real-time forehead detection from thermal video with body-temperature measurement to screen for elevated temperature in public spaces during COVID-19. Built on NVIDIA Jetson Nano with a YOLO-based detector.
Thermique: An Integrated AI-Based Temperature Sensing and Management System to Hold Back COVID-19 Contamination
Md Rokonuzzaman Reza, Shaqran Bin Saleh, Tashfia Fatema, Ishraq Hasan, Muhaimin Bin Munir, Md Fazle Rabbi
ACM ICCA 2022 2022 ICCA Conference
A low-cost embedded system that combines real-time forehead detection from thermal video with body-temperature measurement to screen for elevated temperature in public spaces during COVID-19. Built on NVIDIA Jetson Nano with a YOLO-based detector.