I am a PhD candidate in Electrical Engineering at Northeastern University, working with the Machine Learning group @ SPIRAL supervised by Professor Jennifer Dy. My current research interests include continual learning, adversarial attacks, and leveraging them for transparent and interpretable machine learning. Additionally, I have worked on unsupervised 3D reconstruction and classification, time-series forecasting and implicit neural networks.

Previously, I worked as an AI and ML consultant with Endress+Hauser, Germany. I completed my Masters in EE at the Robotics and Computer Vision lab at KAIST, South Korea. I worked on occlusion‐robust vehicle re‐identification, and on utilizing adversarial attacks for understanding deep networks with relevant publications.

Besides my academic interests, I enjoy public speaking, community service, and reading biographies.

Research Interests

  • Self-supervised continual learning
  • Adversarial attacks for robust and interpretable ML
  • 3D representation learning and reconstruction
  • 2D-object detection/segmentation and tracking

News

  • [05/01/2023] Will be working as a workflow chair for AAAI 2024

Publications

Academic Service

  • Workflow Chair
    • AAAI 2024
  • Conference Reviewer
    • ICCV 2023
  • Volunteer
    • ICML 2022