About Me

I am a Clinical Assistant Professor in the Dept. of Computer and Information Technology at Purdue University. In my research, I focus on designing and developing computational models and systems for analyzing visual and textual data to improve our understanding of the world. I am mainly working in the areas of Computer Vision, Data Science, Medical Imaging, Remote Sensing, and Machine Learning. I received my Ph.D. in Computer Science from the University of Kentucky under the direction of Dr. Nathan Jacobs. My dissertation is on learning to map the visual and auditory attributes from overhead imagery and constructing dense maps of these attributes on a global scale.

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    Recent News:

  • 12/02/2022 one paper accepted to IEEE Access
  • 11/14/2022 one paper accepted to SIGCSE TS 2023
  • 09/14/2022 one paper accepted to IEEE Access
  • 06/21/2022 one paper accepted to ADFSL Conference on Digital Forensics, Security and Law
  • 03/01/2022 one paper accepted to IEEE Transactions on Information Forensics & Security (TIFS)
  • 03/08/2021 one paper released to ArXiv (arXiv:2103.04736)
  • 02/23/2020 one paper accepted to CVPR 2020
  • 11/01/2019 paper accepted to the LiDAR workshop at IEEE Big Data 2019
  • 10/01/2019 paper accepted to BIBM 2019
  • 07/15/2019 defended my dissertation
  • 04/05/2019 two papers accepted to IGARSS 2019
  • 07/02/2018 paper accepted to BMVC 2018
  • 06/22/2018 presented a poster at CVPR 2018
  • 05/15/2018 one paper accepted to the Workshop on Sight and Sound (WSS) at CVPR
  • 03/16/2018 one paper accepted to IGARSS 2018
  • 05/24/2017 Ph.D. proposal defended
  • 03/08/2017 awarded 2017 Best Teaching Assistant in Computer Science at UK
  • 03/08/2016 presented my work at WACV 2016
  • 10/22/2015 one paper accepted to WACV 2016