Introduction

Hello! I am a Ph.D. Candidate at New York Institute of Technology in the United States. I am passionate about Machine Learning; Computer Vision; Generative AI; Quantum Machine Learning; and Human Computer Interaction. I am excited to embark on this academic journey to further explore and contribute to the world of knowledge. I use this website to share a bit about myself, my academic interests, and any relevant contributions I make to my research.

Academic Background

- BSc in computer science and engineering, Military Institute of Science and Technology, Bangladesh

- MS in computer science, Western Illinois University, USA

- Ph.D. Candidate in Computer Science, New York Institute of Technology, USA

Recent Publications

Fusion-Augmented Large Language Models: Boosting Diagnostic Trustworthiness via Model Consensus (Accepted at IEEE BHI 2025, to be published soon)
Securing Decentralized Ecosystems: A Comprehensive Systematic Review of Blockchain Vulnerabilities, Attacks, and Countermeasures and Mitigation Strategies (Q2 Journal).
Benchmarking Large Language Models on USMLE: Evaluating ChatGPT, DeepSeek, Grok, and Qwen in Clinical Reasoning and Medical Licensing Scenarios (Preprint is available, under review at Nature's Scientific Report) (Q1 Journal).
An analytical framework for real-time gold trading using sentiment and time-series forecasting (Q1 Journal).
Leveraging the Transfer Learning Techniques with Data Augmentation to Improve Bangladeshi Crop Diseases Diagnosis.
Efficient Language Identification of Indian Languages Using MFCCs and Deep Learning Models.
Predicting Breast Cancer Survival: A Survival Analysis Approach Using Log Odds and Clinical Variables.
Stock Price Prediction and Traditional Models: An Approach to Achieve Short-, Medium-and Long-Term Goals.
Early Adoption of Generative Artificial Intelligence in Computing Education: Emergent Student Use Cases and Perspectives in 2023.

Selected works

Unmanned grenade disposal vehicle robot

This hardware-based system is android controlled. It can detect the bomb and place the TNT slab beside the bomb. This we can safely dispose of the bomb. The system ensures the safety of disposing of bombs where a manual system is too much risky and time-consuming. This Project was nominated for the Best Project Award

Participated in IEEE R10 Humanitarian Project showcasing

This app will help us to find the nearest parking zone at a low cost. It assures the safety of a car as well, thus it reduces traffic jams due to illegal parking . I represented this project at IEEE R10’s project showcasing event and achieved 26th Position in South Asia

Undergraduate thesis: Missile detection & defense system

It was a thesis project. It can detect missiles by using four sensors. It can also see the missile’s distance and angle.

GitHub repository link: https://github.com/siam116/Missile_Detection

Participation at 10th National and 3rd SAANSO and scout Jamboree

I participated for the 10 days long event where more than 10,000 national and international student attended and I was in the role of organizer. I was able to help more than 5000 students to setup their account for free online learning.

Research Interests:

Machine Learning, Computer Vision, Artificial Intelligence, Human-Computer Interaction