Nasim Mahmud Nayan
Graduate Student, UITS
verified Verified email at uits.edu.bd
100+
Citations
10+
Publications
5
h-index
100+
Students
Research Interests
Trustworthy AI in Healthcare
Developing reliable, fair, and transparent AI systems for medical applications in resource-limited settings.
Bias Mitigation & Fairness
Creating fairness-aware machine learning frameworks to reduce demographic bias in healthcare AI systems.
Multimodal Medical AI
Integrating clinical text, medical imaging, and sensor data for comprehensive diagnostic systems.
Key Publications
Google Scholar Verified • Graduate Student, UITS • Email: uits.edu.bd
Research Areas: Artificial Intelligence, Trustworthy AI for Healthcare, Fairness ML, MCPS
Publication Metrics: 11 publications | 104 citations | h-index: 4 |
Google Scholar Profile
A Medical Cyber-physical System for Predicting Maternal Health in Developing Countries Using Machine Learning
MM Hossain, MA Kashem, NM Nayan, MA Chowdhury. In *Healthcare Analytics*, Volume 5, 100285, 2024.
49 citations | 99% prediction accuracy, 34% bias reduction across 5,000+ patient records using MCPS framework.
SMOTE Oversampling and Near Miss Undersampling Based Diabetes Diagnosis from Imbalanced Dataset with XAI Visualization
NM Nayan, A Islam, MU Islam, E Ahmed, MM Hossain, MZ Alam. In *IEEE Symposium on Computers and Communications (ISCC)*, 1-6, 2023.
16 citations | Advanced resampling techniques for imbalanced medical data with XAI interpretability.
Date Fruit Classification with Machine Learning and Explainable Artificial Intelligence
M Sahidullah, NM Nayan, MS Morshed, MM Hossain, MU Islam. In *International Journal of Computer Applications*, 975, 8887, 2023.
15 citations | ML and XAI for agricultural product classification.
An IoT Based Real-Time Environmental Monitoring System for Developing Areas
M Alam, MM Islam, NM Nayan, J Uddin. In *Journal of Advanced Research in Applied Sciences and Engineering Technology*, 2024.
9 citations | IoT-enabled air quality monitoring with real-time data capture.
Artificial Intelligence-Driven Approach for Predicting Maternal Health Risk Factors
MM Hossain, MA Kashem, NM Nayan. In *SEEDA-CECNSM*, 2024.
6 citations | AI-powered risk stratification for maternal health monitoring.
Investigation of Air Effluence Using IoT and Machine Learning
SUP Shakil, MA Kashem, MM Islam, NM Nayan, J Uddin. In *International Conference for Emerging Technologies in Computing*, 183-202, 2023.
6 citations | IoT and ML for environmental pollution monitoring.
Air Pollution Monitoring Using IoT and Machine Learning in the Perspective of Bangladesh
MM Islam, SUP Shakil, NM Nayan, MA Kashem, J Uddin. In *Annals of Emerging Technologies in Computing (AETiC)*, 8 (3), 17-33, 2024.
2 citations | Bangladesh-specific air pollution monitoring using IoT and ML.
Recent Advancements of Computer Vision in Healthcare: A Systematic Review
M Islam, NM Nayan, A Islam, S Sikder, MR Rashel, MZ Alam. In *IEIE Transactions on Smart Processing & Computing*, 13 (6), 562-571, 2024.
1 citation | Comprehensive review of 125+ papers on healthcare computer vision.
An Interpretable and Balanced Machine Learning Framework for Parkinson's Disease Prediction Using Feature Engineering and Explainable AI
NM Nayan, AM Rana, MM Islam, J Uddin, T Yasmin, J Uddin. In *PLOS ONE*, 20 (10), e0333418, 2025.
1 citation | 92% accuracy with XAI visualizations. Published in PLOS ONE 2025.
A Comprehensive Maternal Health Risk Prediction Dataset from IoT-Enabled Medical Cyber-Physical Systems in Developing Countries: Supporting Deep Learning Applications for Healthcare
MM Hossain, NM Nayan, MA Kashem. 2025.
Comprehensive MCPS dataset supporting deep learning applications for maternal healthcare in developing countries.
Enhancing the Security of Pregnancy Health Data Transmission through Homomorphic Encryption: An Advanced Model
MM Hossain, NM Nayan, MA Kashem. In *Internet of Things Applications and Technology*, 146-169, 2024.
Advanced encryption model for secure pregnancy health data transmission.
Current Research
science In Progress Open for research collaboration • PhD opportunities welcome
M-TRUST Enhancement
Advancing medical AI fairness toolkit with new bias detection algorithms and extended healthcare dataset support. Targeting paper submission to JMIR or IEEE TBME.
ECG Arrhythmia Detection
Deep learning model for automated ECG interpretation detecting 5 cardiac conditions with 96% accuracy. Preparing manuscript for Biomedical Signal Processing journal.
Chest X-Ray Diagnosis System
Vision transformer-based multi-disease classification from chest radiographs with explainable AI. Collaborating with radiologists for clinical validation. Target: Nature Scientific Reports.
Research Projects
M-TRUST: Fairness Toolkit for Medical AI
Open-source Python toolkit for detecting and mitigating bias in medical AI. Reduced demographic bias by 30.8% while maintaining 98% accuracy on benchmark datasets.
ExplainRAG-FC-AS: Clinical Decision Support
RAG-based system with thematic clustering and NLI fact-checking. Achieves <10s response time with 90% clinician preference vs. ranked retrieval.
Research Experience
Jul 2022 - Present
Research Assistant, Medical Cyber-Physical Systems
Shanto-Mariam University of Creative Technology
Advisors: Prof. Mohammad Mobarak Hossain, Dr. Jasim Uddin
- Architected ensemble learning framework for maternal health risk stratification, achieving 99% prediction accuracy and reducing algorithmic bias by 34% across 5,000+ patient records
- Implemented homomorphic encryption on IoT devices to ensure secure, private, and compliant transmission of pregnancy data
- Contributed to 3 co-authored papers in high-impact venues (combined 50+ citations), establishing new benchmarks in maternal health AI
Aug 2022 - Mar 2023
Research Assistant, Healthcare AI & IoT Systems
Rising Research Lab
Advisors: Md Monirul Islam, Dr. Jia Uddin
- Developed and deployed multi-disease prediction system (Diabetes, Parkinson's, etc.) with 92% average accuracy and IoT air quality monitoring network across 5 locations
- Engineered full data pipeline from IoT device data capture to real-time inference
- Implemented AutoML pipeline reducing model development time by 60% while maintaining performance
Jan 2023 - Dec 2024
Research Assistant, Computer Vision in Medicine
EMPATHY LAB, Independent University Bangladesh
Advisors: Dr. Ashraful Islam, Dr. Muhammd Usama Islam
- Conducted systematic review of 125+ papers on healthcare computer vision applications, identifying key research gaps and opportunities
- Analyzed leading deep learning architectures, such as CNNs and Vision Transformers, for medical imaging and predictive analytics
- Synthesized findings to inform lab's research direction in surgical assistance and remote disease monitoring
Teaching & Mentoring
50+
Students Trained
AI Trainer, EDGE Project
7
Research Students
UITS Summer Program
85%
Job Placement
EDGE Project Alumni
AI Trainer, EDGE Project (May 2023 - Nov 2023)
Trained 50+ students in ML/AI through hands-on projects. Developed curriculum covering supervised learning, clustering, regression, and model evaluation. 85% job placement rate.
Research Mentor, UITS Summer Program (2023 & 2024)
Mentored 7 students on ML and IoT projects. Guided complete research pipeline from literature review to publication. Outcomes: 1 Scopus-indexed paper accepted, 1 under review.
Teaching & Mentoring Experience
AI Training Leadership
Leading AI training batch as part of EDGE Project, mentoring 50+ students in ML/AI
Research Presentations
Presenting at inter-university competitions and academic conferences
Interview Panel
Evaluating technical skills and mentoring future researchers
Academic Service & Leadership
Peer Review Experience
Peer Reviewer
Informatics and Health (Elsevier)
Aug 2025 – Present
Peer Reviewer
International Journal of Human-Computer Interaction (Taylor & Francis, Q1)
Sept 2025 – Present
University & Community Leadership
Poster Presentation Coordinator
UITS Zero One Fest, 2022
Senior Executive
Research Hub Wings, UITS Computer Club
2022-2023
Standardized Test Scores
98/120
TOEFL
6.5/9.0
IELTS
307/340
GRE
Q:153, V:154, AWA:3.0
Awards & Honors
1st Place
PowerPoint Presentation Competition, UITS 2020
Employee of the Month
Primacy Infotech Ltd, August 2023
2nd Place
Inter-university Programming Contest (45 teams), UITS 2022
Fastest Problem Solver
UITS Victory Day Programming Contest, 2021
1st Place
Inter-university PowerPoint Presentation Competition, UITS 2020