Research Interests

My research interests span applied deep learning, edge AI, and responsible ML. My work focuses on three key areas:

  • AI/ML applications in education, healthcare, and other sensitive domains
  • Security and privacy of TinyLLMs/SLMs in resource-constrained IoT settings
  • Human–AI collaboration for educational content evaluation and generation using LLMs

I aim to design trustworthy and efficient AI systems that can operate under strict resource limits while ensuring reliability and real-world impact.

Research Summary

Active projects: 3 | Submitted: 3 | Total publications: 4 | Conference papers: 4 | Journal articles: 0 | Citations: 14 | Reviewer: 8 times

Publications

ICDM 2025
Quantitative Currency Evaluation in Low-Resource Settings through Pattern Analysis to Assist Visually Impaired Users
Md Sultanul Islam Ovi, Mainul Hossain, Md Badsha Biswas
Paper Code Dataset
Accessibility Computer Vision Pattern Recognition
Conference (Workshop: RDM)
ICCIT 2024
Benchmarking ChatGPT, Codeium, and GitHub Copilot: A Comparative Study of AI-Driven Programming and Debugging Assistants
Md Sultanul Islam Ovi, Nafisa Anjum, Tasmina Haque Bithe, Md. Mahabubur Rahman, Mst. Shahnaj Akter Smrity
Paper
AI Programming Tools Code Generation Debugging Assistants
Conference
STI 2024
PhishGuard: A Multi-Layered Ensemble Model for Optimal Phishing Website Detection
Md Sultanul Islam Ovi, Md. Hasibur Rahman, Mohammad Arif Hossain
Paper Code Dataset
Cybersecurity Ensemble Learning Phishing Detection
Conference
STI 2022
Sedimentation Analysis on Padma River Using Machine Learning Techniques
Md. Ruhen Hossain Bhuiyan, Niloy Saha Roy, Monoshi Kumar Roy, Md. Sultanul Islam Ovi, Faiz Al Faisal, Muhammad Aminur Rahaman
Paper
Environmental ML River Analysis Geospatial Data
Conference

Submitted Papers

A Study on Distributed Strategies for Deep Learning Applications in GPU Clusters
Md Sultanul Islam Ovi
Preprint
Distributed Computing GPU Clusters Deep Learning
Journal (Computing)
Workload Characterization and Scheduling Insights from Alibaba's 2023 GPU Cluster Trace
Md Sultanul Islam Ovi
Workload Analysis GPU Scheduling Cloud Computing
Journal (Cluster Computing)
Protecting Student Mental Health with a Context-Aware Machine Learning Framework for Stress Monitoring
Md Sultanul Islam Ovi, Jamal Hossain, Md Raihan Alam Rahi, Fatema Akter
Preprint Code Dataset
Mental Health Context-Aware ML Student Wellbeing
Conference (ICCIT 2025)

Ongoing Projects

TinyLLM-IoT: Optimizing Large Language Models for Resource-Constrained Healthcare IoT Devices
Md Sultanul Islam Ovi
Designing lightweight TinyLLMs through model compression, quantization, and hybrid execution across device, edge, and cloud to enable secure real-time healthcare applications on IoT hardware.
TinyLLM Healthcare IoT Model Compression Edge AI Privacy-Preserving
Collaborative
Toward Lightweight Attention-Based Models for Alzheimer Disease Diagnosis Using MRI
Md Sultanul Islam Ovi, PhD Collaborators
Exploring lightweight CNNs, 3D networks, and Vision Transformers with attention mechanisms, pruning, quantization-aware training, and knowledge distillation to improve detection accuracy while keeping models efficient.
Alzheimer Detection Lightweight Models Attention Mechanisms Knowledge Distillation Medical AI
Collaborative
Tiny LLMs for Efficient Low-Resource Bangla Cyberbullying and Harassment Analysis
Md Sultanul Islam Ovi, PhD Collaborators
Developing compact transformer-based models fine-tuned with LoRA adapters, knowledge distillation, and 8-bit quantization to detect bullying, harassment, threats, and spam in Bangla text under low-resource settings.
Bangla NLP Cyberbullying Detection Tiny LLMs Low-Resource LoRA Fine-tuning
Collaborative

Academic Service

AAAI 2026
Reviewer
40th Annual AAAI Conference on Artificial Intelligence, Workshop: Model Uncertainty and the Rashomon Effect (MURE), Singapore
Conference Workshop
IATMSI 2026
Reviewer
IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, India
Conference
BMVC 2025
Reviewer
36th British Machine Vision Conference, Workshop: Multisensory Intelligence for Human Perception (MPI), United Kingdom
Conference Workshop
NeurIPS 2025
Reviewer
39th Annual Conference on Neural Information Processing Systems, Workshop: LLM Evaluation, USA
Conference Workshop
NeurIPS 2025
Reviewer
39th Annual Conference on Neural Information Processing Systems, Workshop: Muslims in ML, USA
Conference Workshop
BHI 2025
Reviewer
IEEE-EMBS International Conference on Biomedical and Health Informatics, USA
Conference
iConSCEPT 2025
Reviewer
IEEE-International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication, India
Conference
AACL-IJCNLP 2025
Reviewer
14th International Joint Conference on Natural Language Processing & 4th Asia-Pacific Chapter of the Association for Computational Linguistics, Workshop: Bangla Language Processing (BPL), India
Conference Workshop
STI 2022
Technical Program Committee Member
IEEE-4th International Conference on Sustainable Technologies, Bangladesh
Conference
STI 2021
Technical Program Committee Member
IEEE-3rd International Conference on Sustainable Technologies, Bangladesh
Conference