Mohammad Wardat is currently an Assistant Professor in the Department of Computer Science and Engineering at Oakland University. He received his Ph.D. in 2023 from Iowa State University under the supervision of Professor Hridesh Rajan. He interned as an applied scientist at Microsoft on the Data&AI research team, where he was mentored by Dr. Alexey Svyatkovskiy. His research interests lie in Software Engineering for Deep Learning, in particular, the intersection of Fault Localization, Program Analysis, and Machine Learning. His research explores the characteristics of bugs in DL software and applies various program analysis techniques to localize bugs and provide actionable fix suggestions. His research works have been published in top-tier research venues (i.e., ICSE 2021 and 2022). Currently, he is serving as an external reviewer for ACM TOSEM, IEEE TSE and as a Junior PC Member for MSR’23.