معرفی
Sohaib Kiani is an Assistant Professor of Math and Computer Science at Beloit College, USA. He holds a B.Sc. in Communication Engineering from NU-FAST Islamabad, an M.Sc. in Communication Engineering & IT from RWTH Aachen University, and a Ph.D. in Computer Science from the University of Kansas.
His research focuses on Trustworthy Machine Learning, emphasizing explainability, fairness, privacy, causality, and robustness. Key areas include causal ML in decision-making systems, multi-view data applications, and democratizing ML through Tiny ML. Recent work includes a 2023 ECAI publication on counterfactual prediction and a 2021 ACSAC distinguished paper on adversarial example detection.
He teaches courses like Object-Oriented Programming and Information Security. Awards include the Distinguished Paper Award at ACSAC 2021. Research opportunities are available via a dedicated sign-up link.
