Hafeez Khan

Research Assistant (NASA), Florida Tech

profile_pic.jpg

Welcome! I am a Ph.D. student in Computer Science, working on continual learning, vision-language models, and novel view synthesis. My advisor is Siddhartha Bhattacharyya, and I am funded by NASA Langley Research Center. Alongside my PhD, I have worked closely with mentors from Microsoft Research, American Heart Association, Collins Aerospace. Through these collaborations, I have gained extensive experience especially in self-supervised learning, 3D/4D reconstruction, and multi-modal learning. I am currently working on compression of 3D Gaussian Splatting (3DGS) models and plan to submit a paper on it to ECCV 2026. Also, I recently submitted my 3DGS compression algorithm to a competition hosted by Meta at ICCV 2025, and I won the 1st place for lossless 3DGS model compression.

Previously, I completed my undergraduate studies at BITS Pilani Dubai, where I finished my thesis under the guidance of Raja Muthalaghu and received the Outstanding Undergraduate Thesis Award.

Reach out by email if our interests align and you wish to collaborate!

Also, I’m actively seeking an internship for Summer 2026—because models aren’t the only ones that need continual learning!!

news

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)!
Jul 11, 2025 Adapt But Don’t Forget accepted at ICCV 2025 (2COOOL Workshop, Poster Presentation)!

selected publications

  1. tir.png
    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
  2. nora.png
    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
  3. adapt.png
    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
  4. mtir.png
    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
  5. alina.png
    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