2024
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.
2023
Automated Disease Detection and Classification in Jackfruit Leaves: An Efficient Deep Learning-Based Approach
Dip Kumar Saha, Md Ashif Mahmud Joy, Md Rokonuzzaman Reza, Reduanul Bari Shovon
Springer TEHI 2023 2023 TEHI Conference
A deep-learning pipeline for detecting and classifying jackfruit leaf diseases from images. Trained on a curated dataset, the model achieves strong accuracy and is positioned as a low-cost diagnostic aid for smallholder farmers.
Automated Disease Detection and Classification in Jackfruit Leaves: An Efficient Deep Learning-Based Approach
Dip Kumar Saha, Md Ashif Mahmud Joy, Md Rokonuzzaman Reza, Reduanul Bari Shovon
Springer TEHI 2023 2023 TEHI Conference
A deep-learning pipeline for detecting and classifying jackfruit leaf diseases from images. Trained on a curated dataset, the model achieves strong accuracy and is positioned as a low-cost diagnostic aid for smallholder farmers.
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.
Towards Developing an IoT-Based Aquaculture Monitoring System
Md Ahsan Arif, Md Rokonuzzaman Reza, Angshu Bikash Mandal, Md Appel Mahmud Akib, Farhana Mimi Shuma, Shah Syed Md Fehir
IEEE ICICT4SD 2023 2023 ICICT4SD Conference
An IoT-based monitoring system for fish-farming environments that tracks water quality parameters in real time and surfaces alerts to farmers via a mobile interface. Co-supervised undergraduate research.
Towards Developing an IoT-Based Aquaculture Monitoring System
Md Ahsan Arif, Md Rokonuzzaman Reza, Angshu Bikash Mandal, Md Appel Mahmud Akib, Farhana Mimi Shuma, Shah Syed Md Fehir
IEEE ICICT4SD 2023 2023 ICICT4SD Conference
An IoT-based monitoring system for fish-farming environments that tracks water quality parameters in real time and surfaces alerts to farmers via a mobile interface. Co-supervised undergraduate research.
Factors Affecting Mental Health of High School Students due to COVID-19: An Exploratory Study
Md Rokonuzzaman Reza, Muhammad Nazrul Islam, Mohian Islam, Afnan Alauddin Mumu, Faiz Al Faisal
IEEE NCIM 2023 2023 NCIM Conference
An exploratory study of factors affecting the mental health of high school students during the COVID-19 pandemic. Uses survey data and statistical analysis to identify the strongest correlates of distress and recovery.
Factors Affecting Mental Health of High School Students due to COVID-19: An Exploratory Study
Md Rokonuzzaman Reza, Muhammad Nazrul Islam, Mohian Islam, Afnan Alauddin Mumu, Faiz Al Faisal
IEEE NCIM 2023 2023 NCIM Conference
An exploratory study of factors affecting the mental health of high school students during the COVID-19 pandemic. Uses survey data and statistical analysis to identify the strongest correlates of distress and recovery.
2022
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.
2021
Developing a Machine Learning-Based Support System for Mitigating the Suppression Against Women and Children
Md Rokonuzzaman Reza, Fabiha Mukarrama Binte Mannan, Dhrubo Barua, Shafayetul Islam, Nafiz Imtiaz Khan, Sharifa Rania Mahmud
IEEE ICEEICT 2021 2021 ICEEICT Conference
A machine-learning–based support system for early identification of suppression and abuse cases against women and children. Combines text classification with risk scoring to triage cases for human follow-up.
Developing a Machine Learning-Based Support System for Mitigating the Suppression Against Women and Children
Md Rokonuzzaman Reza, Fabiha Mukarrama Binte Mannan, Dhrubo Barua, Shafayetul Islam, Nafiz Imtiaz Khan, Sharifa Rania Mahmud
IEEE ICEEICT 2021 2021 ICEEICT Conference
A machine-learning–based support system for early identification of suppression and abuse cases against women and children. Combines text classification with risk scoring to triage cases for human follow-up.