About Me
I received my Ph.D. in Computer Science from the Department of Electrical Engineering & Computer Science at the University of Arkansas, advised by Dr. Xintao Wu. My research interests broadly span causality, generative modeling, and applications in trustworthy AI. Specifically, my research mainly focuses on causal representation learning, counterfactual generative modeling, and causal reasoning in large-scale generative models. I am also interested in the application of causal modeling and interpretability methods in domains such as healthcare. Previously, I obtained my Master's degree in Computer Science and Bachelor's degrees in Computer Science, Computer Engineering, and Applied Mathematics at the University of Arkansas, where I graduated Summa Cum Laude.
Interests
- Causality and Deep Learning
- Probabilistic Generative Modeling
- Interpretable and Explainable AI
- Reasoning in Large Language Models
- AI for Science and Healthcare
Education
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Ph.D. Computer Science, 2026
University of Arkansas -
M.S. Computer Science, 2024
University of Arkansas -
B.S. Computer Science & Math, 2021
University of Arkansas
If you are interested in causality and generative AI or want to talk about potential collaborations, feel free to reach out to me at akomandu [at] uark [dot] edu!
News
- Apr 8, 2026. Successfully defended my PhD dissertation titled "Toward Causal Generative Modeling: From Representation Learning to Controllable Generation"
- Oct 2, 2025. One paper has been accepted to Lock-LLM Workshop at NeurIPS 2025
- Sep 26, 2025. Passed my candidacy PhD proposal defense!
- Aug 20, 2025. One paper has been accepted to EMNLP 2025 Main Conference
- Jul 26, 2025. Invited to serve as a reviewer for AAAI 2026
- May 19, 2025. Starting as a Research Intern at NEC Laboratories America
- Apr 22, 2025. Invited to serve as a reviewer for ECAI 2025
- Feb 6, 2025. Invited to serve as a reviewer for SIGKDD 2025
- Jan 24, 2025. Invited to serve as a reviewer for PAKDD 2025
- Jan 2, 2025. Invited to serve as a reviewer for Pattern Recognition Journal
- Dec 30, 2024. Invited to serve as a reviewer for IJCAI 2025
- Dec 18, 2024. Invited to serve as a reviewer for FPI@ICLR 2025 Workshop
- Dec 11, 2024. Invited to serve as a reviewer for ICML 2025
- Nov 2, 2024. Selected to participate in AAAI 2025 Doctoral Consortium!
- Sep 23, 2024. Invited to serve as a reviewer for CALM@NeurIPS 2024 Workshop
- Sep 20, 2024. Won 1st place in NSF DART 2024 Student Poster Competition!
- Sep 10, 2024. Invited to serve as a reviewer for LoG 2024
- Sep 4, 2024. Invited to serve as a reviewer for TMLR
- Aug 22, 2024. Invited to serve as a reviewer for ICLR 2025
- Jul 8, 2024. Invited to serve as a reviewer for DMLR
- Jul 4, 2024. One paper has been accepted to ECAI 2024
- May 24, 2024. Invited to serve as a reviewer for NeurIPS 2024
- May 9, 2024. Our survey paper has been accepted to TMLR
- Apr 29, 2024. Invited to serve as a reviewer for SPIGM@ICML 2024 Workshop
- Apr 16, 2024. One paper has been accepted to IJCAI 2024
- Apr 8, 2024. One paper has been accepted at GCV@CVPR 2024 Workshop
- Oct 27, 2023. One paper has been accepted at CRL@NeurIPS 2023 Workshop
- Oct 5, 2023. Invited to serve as a PC member and reviewer for IEEE ICMLA 2024
- Oct 25, 2022. One paper has been accepted to IEEE Big Data 2022
- Sep 13, 2021. One paper has been accepted to IEEE ICMLA 2021
- Aug 20, 2021. Started Ph.D. program at the University of Arkansas