Abdullah-Al-Zubaer Imran
Email: aimran [AT] UKy [DOT] edu

Abdullah-Al-Zubaer Imran is an Assistant Professor in the Computer Science Department of the College of Engineering at the University of Kentucky. His research is primarily centered on artificial intelligence, computer vision, and medical imaging. He is particularly interested in developing advanced AI-powered medical imaging tools across the upstream (imaging) and downstream (analysis) phases. His recent focus has been on semi-supervised learning, multi-task learning, self-supervised learning, and generative modeling.

Dr. Imran worked as a Postdoctoral Scholar in the Radiological Sciences Laboratory at Stanford University. He obtained a PhD degree in Computer Science from the University of California, Los Angeles (UCLA), advised by Distinguished Professor Demetri Terzopoulos. He also received an MS degree in Computer Science from Delaware State University (DSU) and a BS degree in Computer Science and Engineering from the Rajshahi University of Engineering and Technology (RUET), Bangladesh.

During his PhD studies at UCLA, Dr. Imran worked at VoxelCloud, Inc., in Los Angeles, CA, Philips Corporate Research NA in Cambridge, MA, and Tencent Medical AI in Palo Alto, CA. Previously, he held Lecturer positions in Bangladesh at North South University, Ahsanullah University of Science & Technology, and Northern University Bangladesh.

I am looking for self-motivated PhD students from Fall 2023/Spring 2024 to work on data-efficient learning and multimodal vision for biomedical imaging. Please contact me with your full CV, transcripts, and a cover letter describing your research interests and goals.

Research Opportunities for UK Undergrad/Grad students: There are opennings in my group to work on deep learning for CT imaging. Please contact me to discuss if you are interested!

CV   /    Scholar   /    GitHub

• May 2023: Honored to have two projects selected for IRC Grants

• May 2023: Manuscript accepted by CMBBE: Imaging & Visualization. Congratulations Ayaan!

• May 2023: Welcome Cohen Archbold to join our group as a PhD student

• May 2023: Welcome Sam Kelly to join our group as an Undergraduate Researcher

• Apr 2023: Two short papers accepted at MIDL 2023. Congratulations Atik, Shashank, and Yuhang!

• Apr 2023: Invited talk at the Keck Data Science Institute, Pepperdine University

• Mar 2023: Honored to be awarded UNITE High Impact Pilot Grant

• Jan 2023: Welcome Aaron Moseley to join our group as an Undergraduate Researcher

• Jan 2023: Welcome Md Atik Ahamed to join our group as a PhD student

• Aug 2022: Started the Assistant Professor position at the University of Kentucky

• Jul 2022: Serving as a Senior Program Committee (SPC) member for AAAI 2023

• May 2022: Paper accepted at MIUA 2022

• May 2022: Paper (early) accepted at MICCAI 2022! (Top 13%)

• IEEE Access
• Patterns - Cell Press
• Journal of Medical Physics
• Knowledge-Based Systems
• Machine Learning for Health (ML4H)
• Deep Learning for Computer Vision (DLCV)
• IEEE Transactions on Medical Imaging (TMI)
• IEEE Transactions on Artificial Intelligence (TAI)
• Computer Vision and Pattern Recognition (CVPR)
• Neural Information Processing Systems (NeurIPS)
• IEEE International Symposium on Biomedical Imaging (ISBI)
• International Conference on Learning Representations (ICLR)
• Medical Image Computing & Computed Assisted Intervention (MICCAI)
• American Association of Physicists in Medicine Annual Meeting (AAPM)
• International Conference on Advances in Electronics Engineering (ICAEE)
• IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

• CS 585/685: Intermediate/Special Topics in Computer Science
  Advanced Computational Methods for Biomedical Imaging
  [Course Site]

• CS168: Computational Methods for Medical Imaging
  [Course Site]   [TA Discussion (Section 1D)]

• CS31: C++ Programming  
  [Course Site]   [TA Discussion (Section 1J)]

• CS31: C++ Programming  
  [Course Site]   [TA Discussion (Section 1G)]

• CS31: C++ Programming  
  [Course Site]   [TA Discussion (Section 1C)]

• CS31: C++ Programming  
  [Course Site]   [TA Discussion (Section 2A)]

• CSE 115: Programming Language I  
  [Course Site]
• CSE 173: Discrete Mathematics  
  [Course Site]
• CSE 273: Theory of Computation  
  [Course Site]
• CSE 410: Management of Information Technology  
  [Course Site]

• CSE 115: Programming Language I  
  [Course Site]
• CSE 173: Discrete Mathematics  
  [Course Site]
• CSE 226: Data Structures & Algorithms  
  [Course Site]
• CSE 273: Theory of Computation  
  [Course Site]

• Atik Ahamed (Doctoral, 2023-)
• Cohen Archbold (Doctoral, 2023-)
• Aaron Moseley (Undergrad, 2023-)
• Sam Kelly (Undergrad, 2023-)
• Seif Naqvi (High School, 2023-)
• Ayaan Haque (High School, 2020-2022; UC Berkeley EECS)
• Isabel Berny (Undergrad, 2022-2022; Stanford CS)
• Husne Jahan (Masters, 2021-2022; AI Engineer)
• Attiano Purpura-Pontoniere (2021-2022; AI Research Engineer)