Hafeez Khan

PhD Student, Florida Tech

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Welcome! I am a Ph.D. student in Computer Science at Florida Tech, working on self-supervised learning, vision-language models, and novel view synthesis. My PhD advisor is Siddhartha Bhattacharyya, and I am funded by NASA Langley Research Center, where I am co-advised by Natasha Neogi.

Alongside my PhD, I have collaborated closely with mentors from Microsoft Research, American Heart Association, and Collins Aerospace, gaining experience in multi-modal learning and 3D reconstruction. I recently won 1st place in a Meta-hosted competition at ICCV 2025, developing a lossy 3DGS compression algorithm that achieved a 95.6% reduction in model sizes.

Previously, I earned my B.Tech. in Computer Science from BITS Pilani Dubai, graduating with an Excellence in Research Award under Raja Muthalaghu.

Please reach out by email if our interests align and you’d like to collaborate!

news

Feb 09, 2026 Accepted Summer 2026 Internship Offer from Collins Aerospace, and will be working on Agentic Vision Language Models!
Oct 20, 2025 Won 1st Place in the ICCV 2025, Computationally Optimal Gaussian Splatting (COGS) Competition hosted by Meta and University of Toronto.
Aug 21, 2025 Recognized for outstanding academic achievement and invited to join Upsilon Pi Epsilon (UPE), the international honor society for computing sciences!
Jul 13, 2025 Test-time Prompt Refinement for Text-to-Image Models accepted at ICCV 2025 (MARS2 Workshop, Oral Presentation)!

selected publications

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    Test-time Prompt Refinement for Text-to-Image Models
    Mohammed Abdul Hafeez Khan, Yash Jain, Siddhartha Bhattacharyya, and Vibhav Vineet
    In Workshop on Multimodal Reasoning and Slow Thinking in Large Model Era at ICCV, 2025
    PDF
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    NORA: A Nephrology-Oriented Representation Learning Approach Towards Chronic Kidney Disease Classification
    Mohammed Abdul Hafeez Khan, Twisha Bhattacharyya, Omar Khan, Noorah Khan, Alina Khan, Mohammed Qutub Khan, and Sujoy Hajra
    In Under Submission at International Conference in Machine Learning and Applications (ICMLA), 2025
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    Adapt, But Don’t Forget: Modular Fine-Tuning and Contrastive Routing for Lane Detection Under Distribution Shift
    Mohammed Abdul Hafeez Khan, Parth Ganeriwala, Sarah M. Lehman, Siddhartha Bhattacharyya, Amy Alvarez, and Natasha Neogi
    In Workshop on Out Of Label Hazard Detection in Autonomous Driving at ICCV, 2025
    PDF
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    Modular Test-time Input-Space Refinement for Few-Shot Segmentation
    Mohammed Abdul Hafeez Khan, Parth Ganeriwala, Amy Alvarez, and Siddhartha Bhattacharyya
    In Under submission in Neural Information Processing Systems (NeurIPS), 2025
    PDF
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    ALINA: Advanced Line Identification and Notation Algorithm
    Mohammed Abdul Hafeez Khan, Parth Ganeriwala, Siddhartha Bhattacharyya, Natasha Neogi, and Raja Muthalagu
    In Workshop on Vision Datasets Understanding at CVPR, 2024
    PDF