Hello 👋

I am Sultanul Ovi,

PhD Student in Computer Science at George Mason University.

My research focuses on applied deep learning, edge AI, and responsible ML. I work on AI/ML applications in education and healthcare, the security and privacy of TinyLLMs/SLMs in resource-constrained IoT settings, and human–AI collaboration for educational content evaluation and generation.

If you’d like to connect via email: sultanulislamovi@gmail.com

Profile Photo

About Me

01 / BACKGROUND

During my PhD journey in Computer Science at George Mason University, I have been working as a Graduate Teaching Assistant and also served as a Graduate Research Assistant in summer 2024. After completing my BSc in Computer Science and Engineering at the Islamic University of Technology in 2021, I joined Green University of Bangladesh as a Lecturer for two years, where I was also a Mentor Moderator and an active member of the Systems and Security Research Cell. In addition, I gained industry experience as a Cyber Security Intern at Beetles Cyber Security Ltd.

02 / RESEARCH WORKS

2025

TinyLLM-IoT: Optimizing Large Language Models for Resource-Constrained Healthcare IoT Devices

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.

2025

Toward Lightweight Attention-Based Models for Alzheimer Disease Diagnosis Using MRI

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.

2025

Tiny LLMs for Efficient Low-Resource Bangla Cyberbullying and Harassment Analysis

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.

View All

03 / TECHNICAL SKILLS

Programming Languages: Python, Java, Golang, C/C++, SQL, Bash Machine Learning & Deep Learning: PyTorch, TensorFlow, Keras, Hugging Face Transformers, Scikit-learn LLMs & Advanced AI: LangChain, Agentic AI frameworks, RAG, Model Compression (Quantization, Pruning) Data Science & Analytics: Pandas, NumPy, Matplotlib, Seaborn, Tableau, Power BI Tools & Platforms: AWS, GCP, Azure, Linux, Docker, Kubernetes, Git, MLflow Distributed Computing: Multi-GPU Training, HPC, MPI, Slurm, Ray, DeepSpeed

04 / FEATURED PROJECTS

Math2LaTeX: Equation OCR to LaTeX with Qwen2 VL

Developed a vision language app that fine tunes Qwen2 VL with LoRA to convert equation images into LaTeX.

NaturalQuery: AI-Powered SQL Generator

Transform natural language into optimized SQL queries using MySQL, GPT, FastAPI, and Streamlit.

PDF2Table

AI Powered Data Extraction from Research Papers using RAG, Streamlit, and GPT.

View All

05 / HOBBIES

Apart from research, I enjoy exploring new technologies and solving problems through competitive programming. I also try to give back to the community by engaging in different volunteer opportunities. In my free time, I like playing chess and watching movies and TV series. I enjoy collecting and preserving currencies from across the world.