Arslan Munir is currently an Associate Professor in the Department of Computer Science (CS) at Kansas State University (K-State). He is also an affiliated (ancillary) faculty in the K-State Department of Electrical and Computer Engineering. He holds a Michelle Munson-Serban Simu Keystone Research Faculty Scholarship from the College of Engineering. He joined K-State as a tenure-track Assistant Professor in June 2017. Before joining K-State, he was a tenure-track Assistant Professor in the Department of Computer Science and Engineering (CSE) at the University of Nevada, Reno (UNR) from July 2014 to June 2017. He was a postdoctoral research associate in the Electrical and Computer Engineering (ECE) department at Rice University, Houston, Texas, USA from May 2012 to June 2014. He received his M.A.Sc. in ECE from the University of British Columbia (UBC), Vancouver, Canada, in 2007 and his Ph.D. in ECE from the University of Florida (UF), Gainesville, Florida, USA, in 2012. He also worked as a visiting graduate research student at the University of Toronto, Toronto, Ontario, Canada for one semester during his Ph.D. From 2007 to 2008, he worked as a software development engineer at Mentor Graphics in the Embedded Systems Division. He also worked as a software engineer at Techlogix Limited in 2007.
Dr. Munir's current research interests include embedded and cyber-physical systems, secure and trustworthy systems, hardware-based security, computer architecture, artificial intelligence (AI), parallel computing, and fault tolerance. He is a founding director of the Intelligent Systems, Computer Architecture, Analytics, and Security (ISCAAS) laboratory at K-State. His current research projects include design of secure and dependable autonomous vehicles and intelligent transportation systems, AI-assisted spacecraft trajectory optimization and planning, and AI-enable situational awareness. His research accomplishments have been covered by various news and media outlets.
Dr. Munir was the recipient of many academic awards including the doctoral fellowship from Natural Sciences and Engineering Research Council (NSERC) of Canada. He earned gold medals for the best performance in electrical engineering, gold medals and academic roll of honor for securing rank one in pre-engineering provincial examinations (out of approximately 300,000 candidates).
He has published more than 70 scholarly peer-reviewed articles related to his research interests in prestigious journal and conferences, with two of his research papers receiving Best Paper Awards and two more being selected as Best Paper Finalists. He published a book on modeling and optimization of parallel and distributed embedded systems in Wiley-IEEE in 2016. He also holds three U.S. patents.
He has served as a program committee member and a reviewer for various IEEE and ACM conferences, a reviewer for various IEEE, ACM, and Elsevier journals, and a reviewer for National Science Foundation panels. He has served on the technical program committee of several conferences including ACM GLSVLSI, IEEE ICCD, IEEE iNIS, IARIA ICNS, IEEE CloudNet, IEEE MCSoC, and IEEE/IFIP EUC. He currently serves as an Associate Editor for IEEE Consumer Electronics Magazine. He is a Senior Member of IEEE.
His research has been sponsored by the National Science Foundation (NSF), Air Force Office of Scientific Research (AFOSR), Air Force Research Laboratory (AFRL), National Aeronautics and Space Administration (NASA), and Semiconductor Research Corporation (SRC). He has been awarded a NSF Computer and Information Science and Engineering Research Initiation Initiative award.
Prospective Ph.D. students: I am primarily seeking self-motivated Ph.D. students who have done their Masters in Electrical Engineering, Computer Engineering, or Computer Science. Please look at my research interests and research overview to find out if you are interested in doing research on any listed (and/or related) topic or projects. In particular, I am looking for students with experience and expertise in the following areas: deep learning, hardware-based security, and artificial intelligence (AI) safety and security. Students with publications in IEEE/ACM/Elsevier journals or IEEE/ACM conferences are encouraged to apply. Masters student with outstanding credentials and willing to do a Ph.D. are also encouraged to apply. Masters students who want to work on their thesis are also welcome to discuss a thesis research topic that falls within my research interests. If you meet these criteria, please send me your CV and any other information such as published papers or completed projects (in industry) that will strengthen your application.