I am a first-year Ph.D. student at Illinois Institute of Technology, advised by Professor Binghui Wang. My research focuses on trustworthy machine learning. Office: Room 019A Stuart Building, 10 W 31st St, Chicago, IL 60616, US

Research Interests

✔ LLM Privacy & Security: Investigating privacy vulnerabilities and security threats in large language models, including membership inference, data extraction, and adversarial attacks.

✔ Privacy-Preserving Machine Learning: Developing systems that enable secure and privacy-aware collaboration across institutions. Currently contributing to A Holistic Privacy Preserving Collaborative Data Sharing System for Intelligent Transportation.

✔ Medical AI & Multimodal LLMs: Building and compressing vision-language models for medical applications, including dermatological diagnosis and tuberculosis detection, with a focus on efficiency and interpretability.

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Works Done Before PhD

• Compression Strategies for Efficient Multimodal LLMs in Medical Contexts
  TA Khan, A Saha, IN Swapnil, MA Haque · arXiv 2025 · arXiv

• CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering
  A Saha, TA Khan, IN Swapnil, MA Haque · arXiv 2025 · arXiv

• GRPO++: Enhancing Dermatological Reasoning under Low Resource Settings
  IN Swapnil, A Saha, TA Khan, MA Haque · arXiv 2025 · arXiv

• Skin Cancer Classification Using Pre-trained CNNs: A Transfer Learning Approach Addressing Imbalanced Data Challenges
  S Sobhan, A Saha, TA Khan, A Zami · NCIM 2025 · Xplore

• A Multi-Stage Deep Learning Approach to Tuberculosis Detection with Explainable Insights
  S Sobhan, A Zami, M Ahmed, TM Zihan, TA Khan, A Saha · NCIM 2025 · Xplore

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