Arslan Munir

 Arslan Munir

 Assistant Professor

 Michelle Munson-Serban Simu Keystone Research Faculty Scholar

 Department of Computer Science
 Kansas State Unversity

 Email: amunir@ksu.edu
 Office: 2162 Engineering Hall


Education

  • Post-Doctorate, Electrical and Computer Engineering, Rice University, 2014
  • Ph.D., Electrical and Computer Engineering, University of Florida, 2012
  • M.A.Sc., Electrical and Computer Engineering, University of British Columbia, 2007
  • Biography

    Arslan Munir is currently a tenure-track Assistant 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. Before joining K-State, he was an 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, multicore, parallel computing, distributed computing, reconfigurable computing, artificial intelligence (AI) safety and security, data analytics, 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 automotive cyber-physical systems and intelligent transportation systems, parameters optimization in parallel and reconfigurable architectures, fog-assisted sensing and analytics architecture for high-throughput phenotyping and military applications, integrated fog, cloud, and Internet of things architectures, and models and frameworks for adversarial attacks on intelligent systems and complex adaptive systems. 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.

    Recent Publications

  • Mahmood Azhar Qureshi and Arslan Munir, "NeuroMAX: A High Throughput, Multi-Threaded, Log-Based Accelerator for Convolutional Neural Networks", Proc. of IEEE/ACM International Conference On Computer Aided Design (ICCAD), San Diego, California, November 2020.  PDF

  • Kwangho Lee, Joonho Kong, and Arslan Munir, "HW/SW Co-Design of Cost-Efficient CNN Inference for Cognitive IoT", Proc. of IEEE International Conference on Intelligent Computing in Data Sciences (ICDS), Fez, Morocco, October 2020.  

  • Naresh Kumar Giri, Arslan Munir, and Joonho Kong, "An Integrated Safe and Secure Approach for Authentication and Secret Key Establishment in Automotive Cyber-Physical Systems", Proc. of Computing Conference, London, United Kingdom, July 2020.   PDF

  • Neda Shabani and Arslan Munir, "A Review of Cyber Security Issues in Hospitality Industry", Proc. of Computing Conference, London, United Kingdom, July 2020.   PDF

  • Mahmood Azhar Qureshi and Arslan Munir, "PUF-IPA: A PUF-based Identity Preserving Protocol for Internet of Things Authentication", Proc. of IEEE Consumer Communications & Networking Conference (CCNC), Las Vegas, Nevada, January 2020.   PDF

  • Justin Bode and Arslan Munir, "OTMS: A Novel Radar-Based Mapping System For Automotive Applications", Proc. of IEEE Consumer Communications & Networking Conference (CCNC), Las Vegas, Nevada, January 2020.   PDF

  • Avishek Bose, Arslan Munir, and Neda Shabani, "A Quantitative Analysis of Big Data Clustering Algorithms for Market Segmentation in Hospitality Industry", Proc. of IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, Nevada, January 2020.   PDF

  • Bontak Gu, Joonho Kong, Arslan Munir, and Young Geun Kim, "A Framework for Distributed Deep Neural Network Training with Heterogeneous Computing Platforms", Proc. of IEEE International Conference on Parallel and Distributed Systems (ICPADS), Tianjin, China, December 2019. (acceptance rate: 28%)   PDF

  • Mahmood Azhar Qureshi and Arslan Munir, "PUF-RLA: A PUF-based Reliable and Lightweight Authentication Protocol employing Binary String Shuffling", Proc. of IEEE International Conference on Computer Design (ICCD), Abu Dhabi, United Arab Emirates (U.A.E.), November 2019. (acceptance rate: 23.8%)   PDF

  • Dalton A. Hahn, Arslan Munir, and Saraju P. Mohanty, "Security and Privacy Issues in Contemporary Consumer Electronics", IEEE Consumer Electronics (CE) Magazine, vol. 8, no. 1, pp. 95-99, January 2019.   PDF

  • Neda Shabani, Arslan Munir, and Azizul Hassan, "E-Marketing via Augmented Reality: A Case Study in the Tourism and Hospitality Industry", IEEE Potentials, vol. 38, no. 1, pp. 43-47, January 2019.   PDF

  • Bikash Poudel and Arslan Munir, "Design and Evaluation of a Reconfigurable ECU Architecture for Secure and Dependable Automotive CPS", IEEE Transactions on Dependable and Secure Computing (TDSC), 2018 (accepted for publication).   PDF

  • Prasanna Kansakar, Arslan Munir, and Neda Shabani, "A Fog-Assisted Architecture to Support an Evolving Hospitality Industry in Smart Cities", Proc. of the 16th International Conference on Frontiers of Information Technology (FIT), Islamabad, Pakistan, December 2018. (acceptance rate: 23%)   PDF

  • Bikash Poudel and Arslan Munir, "Design and Evaluation of a PVT Variation-Resistant TRNG Circuit", Proc. of IEEE International Conference on Computer Design (ICCD), Orlando, Florida, October 2018. (acceptance rate: 29%)   PDF

  • Arslan Munir and Farinaz Koushanfar, "Design and Analysis of Secure and Dependable Automotive CPS: A Steer-by-Wire Case Study", IEEE Transactions on Dependable and Secure Computing (TDSC), 2018 (accepted for publication).   PDF

  • Prospective Ph.D. students: I am primarily seeking 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: 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. can also 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.