About Me

I am an Assistant Research Scientist, and affiliate research faculty in the Laboratory for Computational Sensing and Robotics (LCSR) of the Johns Hopkins University (JHU).

My research interests lie in the interdisciplinary field of computer vision, machine learning, medical image analysis and surgical robotics aiming to create synergistic advancement of collaborative intelligent assistant systems for various healthcare applications.

Previously, I was postdoctoral fellow at LCSR, JHU. I completed my PhD in Electrical Engineering and Computer Science at the Computer Vision & Remote Sensing department of the Technical University Berlin.

For a comprehensive list of publications, please refer to my Google Scholar.

News

• One paper accepted to IEEE-TMRB 2024
• One paper accepted at Otolaryngology–Head and Neck Surgery
• Three papers accepted at IPCAI2024
• One paper accepted at Otolaryngology–Head and Neck Surgery
• One paper accepted to IEEE-ICRA 2024
• One paper accepted at Otolaryngology–Head and Neck Surgery
• Four papers accepted at IPCAI2023
• Successfully defended my doctoral thesis “Vision-based context-awareness in minimally invasive surgical video streams” at Technische Universität Berlin.
• One paper accepted at IPCAI 2021.
• Patent “Device and method for controlling a system comprising an imaging modality” approved
• One paper accepted at MedIA
• One paper accepted at MICCAI 2020.
• One paper accepted at CDBE
• One paper accepted at MedIA

Selected awards

• Best innovation award for paper at MRC Symposium 2024 (joint first author)
• Young Investigator Award for paper at IPCAI2023 (corresponding author)
• Audience Award for Best Innovation : Honorary mention at at IPCAI 2021
• Machine Learning for CAI Award : Honorary mention at IPCAI 2021
• Runner-up: Surgical Tool Presence Detection Challenge at MICCAI - M2CAI 2016