Mohammad Ali Javidian
About
I am an assistant professor in computer science at Appalachian State University (ASU). My research interests include classical/quantum causal inference and probabilistic graphical models for decision making under uncertainty. My research seeks to develop theoretically sound, reliable, and scalable Causal AI/ML approaches with applications in computer systems and healthcare. Before joining ASU, I was a postdoctoral scholar at the Electrodynamics Lab and CLAN Lab at Purdue University, where I investigated the development of novel algorithmic and theoretically principled methods for Quantum Entropic Causal Inference. Before this position, I was a research associate at the AISys Lab at the Department of Computer Science and Engineering of the University of South Carolina, where I conducted research projects on transfer learning and performance debugging in machine learning systems using the causal inference methods. I received my PhD in Computer Science from the University of South Carolina in 2019, MS in Computer Science from the Sharif University of Technology in 2013, MS in Mathematics from the Shiraz University in 2007, and BS degree in Mathematics from the Shahid Bahonar University of Kerman in 2003. I am the Director of Data Science Certificate Program in Computer Science.
Research Performance Summary
First Recorded Paper
Baishakhi Ray, and Pooyan Jamshidi. 2021. CADET: Debugging and fixing misconfigurations using counterfactual reasoning
Year: 2010
Citations: 5
Venue: arXiv preprint arXiv:2010.06061
Latest Recorded Paper
An Expectation-Maximization Algorithm for Domain Adaptation in Gaussian Causal Models
Year: 2026
Citations: 0
Venue: arXiv preprint arXiv:2601.03459
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.