About Me
Welcome! I am a Ph.D. student in Computer Science at the University of Maryland, College Park, working with the Perception and Robotics Group under the guidance of Dr. Cornelia Fermuller and Prof. Yiannis Aloimonos. My research focuses on developing robust and efficient deep learning systems for computer vision applications, with particular emphasis on event-based vision, neuromorphic computing, and medical image analysis.
Research Interests
My research spans several interconnected areas:
Event-Based Vision & Neuromorphic Computing: Leveraging Dynamic Vision Sensors (DVS) and spiking neural networks for low-latency, energy-efficient visual processing. I work on processing spatio-temporal data from event cameras using State Space Models (SSMs) and Transformers for applications like gesture recognition and adverse weather de-raining.
Medical Image Analysis: Developing automated 3D segmentation pipelines for high-resolution medical imaging, including 7T MRI and multi-view mammography, to assist in disease diagnosis and risk prediction.
News & Updates
- Jul 2024: Our paper on SegSTRONG-C accepted at MICCAI 2024!
- Nov 2023: Presented our work on decision support tools for small farmers at AAAI Workshop on AI2ASE.
Recent Publications
SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions – An EndoVis’24 Challenge
MICCAI 2024, the 27th International Conference on Medical Image Computing and Computer Assisted Intervention, 2024
PDFAn Online Optimization-Based Decision Support Tool for Small Farmers in India: Learning in Non-stationary Environments
2023 2nd Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE), 2023
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Professional Service
- Journal Reviewer: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
Education
University of Maryland, College Park
Doctor of Philosophy (PhD) in Computer Science
Aug 2024 - Present
The Johns Hopkins University
Bachelor of Science in Computer Science
Sep 2020 - May 2024
Last updated: February 2025