Portrait
Md Rokonuzzaman Reza
PhD Student in Computer Science
Louisiana State University
About Me

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 LLM, Human-AI Interaction, and Privacy, with a current focus on simulating human behavior, reasoning, and attitude through LLM agents.

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 am actively looking for Summer 2027 internship opportunities.

Education
Experience
Honors & Awards
  • 100+ citations on Google Scholar
    2025
  • MIST research incentive — Springer Book Chapter
    2025
  • Stanford Code In Place — Section Leader
    2023
  • 2nd, Soccer Bot Challenge, Robo-Carnival, BUET
    2021
  • Best Ambassador, IEEE CS BDC Winter Symposium
    2020
News
2026
Milestone Reviewing at CHI 2027
Oct 15
2025
Grant Submitted an NSF grant proposal on cognitive burden of UI dark patterns for older adults
Nov 14
Milestone Started PhD in Computer Science at Louisiana State University
Aug 15
Selected Publications (view all )
ChatGPT versus Bard: A Comparative Study
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
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 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 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
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 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 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.

All publications