Welcome! I’m happy you found your way here

I am a Ph.D. Candidate in Computer Science and Engineering at the University of Notre Dame, advised by Dr. Kevin Bowyer at the Computer Vision Research Lab (CVRL). My doctoral research explores multiple dimensions of face recognition technology, including mitigating bias, optimizing neural networks for efficiency on edge devices, ensuring biometric system security, and improving reliability of face identification search. I am also working on improving face foundation models for strong text-vision alignment for granular facial attributes. My work has been published in venues including CVPR, WACV, FG, IJCB, T-BIOM, and TTS.

I was fortunate to intern at Comcast with the Media Analytics Framework Team under Dr. Mahmudul Hasan in Summer 2024, where I built multimodal models for contextual emotion prediction in video content, leveraging multi-branch transformer architectures, cross-attention mechanisms, and multimodal text encodings.

I am actively seeking opportunities as a Research Scientist/Engineer, Machine Learning Engineer, Computer Vision Engineer, Applied Scientist, or Data Scientist starting July 2025 or later. My long-term goal is to develop expertise in multimodal AI systems, balancing fundamental research to advance state-of-the-art techniques with the practical skills required to deploy scalable, efficient, and production-grade models that solve real-world problems. Please reach out to me if you see a fit!

News

  • 2025/06: 🎉 Passed AWS Certified Machine Learning Engineer – Associate Exam. See my badge!
  • 2025/02: 📚 3 papers accepted at IEEE FG’25.
  • 2025/01: 📚 1 paper accepted at IEEE TBIOM’25.
  • 2024/12: 🎓 Defended my Oral Candidacy. Officially a PhD Candidate Now!
  • 2024/06: 📚 1 paper accepted at IEEE IJCB’24.
  • 2024/06: 📚 1 paper accepted at IEEE TTS’24.
  • 2024/06: 🎉 Started my Internship at Comcast.
  • 2024/03: 📚 1 Paper accepted at CVPRW’24.
  • 2024/01: 📚 2 Papers accepted at WACV’24.
  • 2023/03: 📚 1 Papers accepted at CVPR’23.
  • 2023/01: 📚 1 paper accepted to DVPBA@WACV’23.
  • 2021/08: 🎓 Started my PhD in CSE Dept. at University of Notre Dame
  • 2021/05: 🎓 Graduate from University of Mississippi with B.S (Hons) in Mechanical Engineering
  • 2020/01: 🎉 Continuing my Co-op (part-time) for Spring’20 Semester at ThyssenKrupp AG
  • 2019/01: 🎉 Started my full-time Engineering Co-op at ThyssenKrupp AG for a year

Selected Publications

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Deep CNN Face Matchers Inherently Support Revocable Biometric Templates
Aman Bhatta, Michael C. King, Kevin W. Bowyer
IEEE Automatic Face and Gesture Recognition (FG), 2025. (Oral 🏆)
Paper Soon | Code

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CRAFT: Contextual Re-Activation of Filters for face recognition Training
Aman Bhatta, Domingo Mery, Haiyu Wu, Kevin W. Bowyer
IEEE Automatic Face and Gesture Recognition (FG), 2025.
Paper | Code

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What's color got to do with it? Face recognition in grayscale
Aman Bhatta, Domingo Mery, Haiyu Wu, Joyce Annan, Michael C. King, Kevin W. Bowyer
IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM), 2025.
Paper

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Revisiting Linearization of Spatial Maps in SoTA Face Recognition Backbone
Aman Bhatta, Haiyu Wu, Kagan Ozturk, Kevin W. Bowyer
IEEE International Joint Conference on Biometrics (IJCB), 2024.
Paper

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Our Deep CNN Face Matchers Have Developed Achromatopsia
Aman Bhatta, Domingo Mery, Haiyu Wu, Joyce Annan, Michael C. King, Kevin W. Bowyer
IEEE / CVF Computer Vision and Pattern Recognition Conference (TCV@CVPR), 2024.
Paper

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Logical Consistency and Greater Descriptive Power for Facial Hair Attribute Learning
Haiyu Wu, Grace Bezold, Aman Bhatta, Kevin W. Bowyer
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023.
Paper

Services

Year Reviewed Conferences & Journals
2025 WACV 2025 · CVPR 2025 · ICCV 2025 · FG 2025
2024 WACV 2024 · CVPR 2024 · ECCV 2024
2023 WACV 2023 · IEEE T-IP 2023 · IJCB 2023
2022 WACV 2022 · ICPR 2022