About Me
I'm an Assistant Professor at the EECS department of Texas A&M Kingsville. I completed my Ph.D. in Machine Learning at Baylor University, with a dissertation titled "Deep Learning of Visual Features with Limited Supervision."
🎓 Prospective Students
I'm actively looking for highly motivated students with experience in AI, Machine Learning, or Computer Vision to join my research group. If you're passionate about cutting-edge research and want to work on challenging problems, I'd love to hear from you.
Get in Touch🤝 Collaboration
I work on several exciting projects spanning AI, Machine Learning, and Computer Vision. I'm always seeking collaboration opportunities and am willing to collaborate across areas. Feel free to reach out to discuss potential collaborations.
Contact for CollaborationResearch Interests
My research focuses on developing innovative deep learning methods for visual understanding with limited supervision, including self-supervised learning, few-shot learning, and transfer learning. I'm particularly interested in creating practical AI solutions that can learn efficiently from limited data.
Recent Updates
- June 2025 Organizing Workshop: Learning Representations with Limited Supervision at IEEE BigData – Call for Papers
- May 2025 Defended my PhD dissertation titled "Deep Learning of Visual Features with Limited Supervision".
- January 2025 Had 2 papers accepted in IEEE BigData Workshops.
- August 2024 Completed Machine Learning Internship at Dow, Midland, MI.
- August 2024 Became a reviewer for ICLR.
Education
- PhD in Computer Science, Baylor University, TX, USA (Aug 2020 - Aug 2025)
- B.Tech in Information Technology, IEM, Kolkata, India (Aug 2013 - May 2017)