people
Collaborators, mentors, and students who have shaped my research journey.
Research is fundamentally collaborative. I’ve been fortunate to work with exceptional researchers, mentors, and students across multiple institutions. This page celebrates the people who have shaped my research journey and contributed to our shared work.
Research Advisors & Supervisors
Prof. Philipp Koehn
Professor of Computer Science
Johns Hopkins University
phi@jhu.edu
Website • Google Scholar
Role: Thesis Advisor (MSE)
Research: Machine Translation, NLP
Working on low-resource machine translation and reference-free evaluation methods using reinforcement learning.
Prof. Anjalie Field
Assistant Professor of Computer Science
Johns Hopkins University
Role: Academic Advisor (MSE)
Research: Computational Social Science, NLP
Academic guidance on research directions and career development in NLP and computational linguistics.
Prof. Mahdy Rahman Chowdhury
Professor of ECE
North South University
mahdy.chowdhury@northsouth.edu
Google Scholar
Role: Undergraduate Thesis Advisor, Current Collaborator
Research: Quantum ML, Medical Imaging, AI
Award: ICO Galileo Galilei Medal (2023)
Pioneered hybrid quantum-classical machine learning frameworks. Ongoing collaboration at Mahdy Research Academy.
Dr. Thomas E. Tavolara
Research Scientist
Mayo Clinic
tavolara.thomas@mayo.edu
Google Scholar
Role: Research Internship Supervisor
Research: Clinical ML, Healthcare AI
Supervision on blood utilization prediction and HER2 biomarker detection projects at Mayo Clinic.
Prof. Nabeel Mohammed
Associate Professor of ECE
North South University
nabeel.mohammed@northsouth.edu
Google Scholar
Role: Research Supervisor (RA)
Research: Deep Learning, NLP, Computer Vision
Supervised research on clinical LLM optimization, smile recognition, and life satisfaction prediction. 5 co-authored publications (IJMEDI, PRL, Heliyon, ICDM).
Prof. Sifat Momen
Professor of ECE
North South University
sifat.momen@northsouth.edu
Google Scholar
Role: Course & Research Supervisor
Research: Machine Learning, Healthcare AI, NLP
Supervised research on occupational stress detection, NCD detection, and plant disease AI. 3 co-authored publications (AEJ, PLOS ONE, IEEE Access).
Dr. Fuad Rahman
Founder & CEO, Apurba Technologies Inc.
ACABI Researcher, University of Arizona
Role: Research Supervisor
Research: Clinical NLP, Healthcare AI, NLP, Data Mining
Ph.D. in Ubiquitous Computer Vision and Pattern Recognition. Supervised research on OptimCLM for clinical language model compression. Co-authored publications in IJMEDI 2025 and Pattern Recognition Letters 2024.
Prof. Shafin Rahman
Professor of ECE
North South University
shafin.rahman@northsouth.edu
Google Scholar
Role: Research Collaborator
Research: Computer Vision, Deep Learning
Collaboration on DeepMarkerNet and HadaSmileNet. 2 co-authored publications (PRL 2024, ICDM 2025).
Dr. Suvodeep Mazumdar
Senior Lecturer in Data Analytics
University of Sheffield, UK
Role: Research Collaborator
Research: Data Visualization, Machine Learning, HCI
Collaboration on deployable deep learning for plant disease detection. Co-authored publication in IEEE Access 2025.
Ms. Silvia Ahmed
Lecturer
North South University
Role: Research Collaborator
Research: Machine Learning, NLP
Collaboration on occupational stress detection using ML and LLMs. Co-authored publication in PLOS ONE 2025.
Research / Project Collaborators
Suhra Noor
NSU
NCD detection via prompt engineering (AEJ 2025)
Kazi Rafat
NSU
DeepMarkerNet for smile recognition (PRL 2024)
Alif Elham Khan
NSU
Shadow Loss, Life satisfaction prediction (CVPR under review, Heliyon 2024)
Humayra Anjum
NSU
Shadow Loss, Life satisfaction (CVPR under review, Heliyon 2024)
Jannat Sultana
NSU
Occupational stress detection (PLOS ONE 2025)
Mominul Islam
NSU
CQ-CNN for Alzheimer’s detection (PLOS ONE 2025)
Rashik Iram Chowdhury
NSU
TabFusion for skin cancer (KBS cond. accept)
Jalil Rezek
Johns Hopkins University
Advanced NLP course research project
Meghana Karnam
Johns Hopkins University
NLP course research project
Swarali Mahimkar
Johns Hopkins University
NLP and Machine Learning course research project
Prajakta Shevakari
Johns Hopkins University
NLP and Machine Learning course research project
Mrishika Nair
Johns Hopkins University
Computer Vision course research project
Aswath Suresh
Johns Hopkins University
Computer Vision course research project
Yishu Zhang
Johns Hopkins University
Computer Vision course research project
Research Mentees & Students
Students I've had the privilege to mentor through research projects, leading to publications and conference presentations.
Dr. MD Nahid Hassan Nishan
Master’s Student, NSU
QuantumMedKD (AEJ 2026)
Mahir Afser Pavel
NSU
CLKD-MED (ESWA under review)
Rafiul Islam
NSU
CLKD-MED (ESWA under review)
Md. Talat Mahmud Tomal
Yangzhou University, China
Distill-FusionNet (KBS under review)
Zahrul Jannat Peya
North Western University, BD
Distill-FusionNet (KBS under review)
Nurzahan Akter Joly
Khulna University of Engineering and Technology, BD
Distill-FusionNet (KBS under review)
Waqilur Rahman Chowdhury
SUST, BD
QSiamNet (Neurocomputing, in revision)
Urmi Sen
Rajshahi University of Engineering and Technology, BD
QSiamNet (Neurocomputing, in revision)
Nusrat Kabir Nuha
United International University
TabFusion (KBS cond. accept)
Muhtasimul Hasan
NSU
TabFusion (KBS cond. accept)
Rakib Ullah
Sylhet Engineering College
TransMed (PLOS Digital Health, under review)
Mimjamam Ul Haque Monmoy
American International University Bangladesh
TransMed (PLOS Digital Health, under review)
Syed Nadim Mehdi
Sylhet Engineering College
TransMed (PLOS Digital Health, under review)
Progga Parmita Roy
American International University Bangladesh
BGCA-Fusion (Medical Image Analysis, under review)
Fahim Shahriar
BRAC University, BD
BGCA-Fusion (Medical Image Analysis, under review)
Mrittika Roy
Rajshahi University of Science and Technology, BD
BGCA-Fusion (Medical Image Analysis, under review)
Md. Shakhawat Hossain
NSU
QuantDent (Quantum Machine Intelligence, under review)
Md. Mehedi Hasan
Noakhali Science and Technology University, BD
QuantDent (Quantum Machine Intelligence, under review)
Mentorship Outcomes
Students Mentored
Projects Supervised
Co-authored Papers
Q1 Submissions
Interested in Collaboration?
I’m always open to new research collaborations, especially in:
Efficient NLP for low-resource languages
Healthcare AI with clinical applications
Model compression and deployment
Quantum-classical hybrid machine learning
For students: If you’re interested in research mentorship, check out teaching for information about the Mahdy Research Academy program.
Contact: junayedhasan100@gmail.com