Karim Elish

Associate Professor
Dr. Karim Elish | Assistant Professortechnic

Phone 863-874-8646

Location Main Campus

Office BARC-2227

Directory Computer Science

Dr. Karim Elish is an associate professor of computer science at IM体育官网 Polytechnic University. He obtained his Ph.D. and MS in Computer Science from Virginia Tech. Before joining IM体育官网 Poly in 2016, he was an assistant professor at the Department of Computer Science at Purdue University-Fort Wayne. He received the prestigious IM体育官网 Poly ABLAZE Award for Excellence in Teaching in 2018.

Elish's research portfolio is centered at the intersection of cybersecurity and software engineering. His expertise encompasses a wide array of topics, including cybersecurity analytics, software security, mobile security, and applied machine learning and data mining. His work in these areas has garnered substantial recognition, with over 1,470+ citations on Google Scholar. He also has showcased his proficiency in acquiring funding, securing a total of around $716,000 in grants as both PI and Co-PI by 2023.

Elish is serving as a reviewer for many high impact ISI journals and conferences such as IEEE Transactions on Dependable and Secure Computing (TDSC), IEEE Transactions on Information Forensics & Security, IEEE Transactions on Mobile computing (TMC), IEEE Systems Journal, and others. He holds senior membership in both IEEE and ACM.

  • ABLAZE Excellence in Teaching Award, IM体育官网, 2018
  • Top 5 Finalist, Paul E. Torgersen Research Excellence Award, Virginia Tech, 2014
  • Top 10 most cited papers, Elsevier Journal of Systems and Software (JSS), 2014
  • Phi Beta Delta Honor Society for International Scholars, 2014
  • Ph.D. in Computer Science, Virginia Tech, 2015
  • M.S. in Computer Science, Virginia Tech, 2011
  • M.S. in Computer Science, King Fahd University of Petroleum and Minerals, 2008
  • B.S. in Computer Science, King Fahd University of Petroleum and Minerals, 2006
  • Cybersecurity Analytics
  • Mobile Security And Privacy
  • Software Security and Quality
  • Software Engineering
  • Applied AI and Data Mining
  • Senior Member, IEEE and ACM, 2020 - current
  • Journal reviewer for IEEE Transactions on Mobile Computing (TMC), 2018 - current
  • Journal reviewer for IEEE Transactions on Dependable and Secure Computing (TDSC), 2016 - current
  • Journal reviewer for IEEE Transactions on Information Forensics & Security (TIFS), 2016 - current
  • Panelist, National Science Foundation, Proposal Evaluation Panel for Cybersecurity Education Program 2017
  • Elish, K., Omar, M., and Almohri, H. (2022). 鈥淟ightweight, Effective Detection and Characterization of Mobile Malware Families," IEEE Transactions on Computers (TC), vol. 71, no. 11, pp. 2982-2995.
  • Almohri, H., Almutawa, M., Alawadh, M., and Elish, K. (2020). 鈥淎 Client Bootstrapping Protocol for DoS Attack Mitigation on Entry Point Services in the Cloud,鈥� Security and Communication Networks, Wiley and Hindawi.
  • Elish, K., Cai, H., Barton, D., Yao, D., and Ryder, B. (2020). 鈥淚dentifying Mobile Inter-App Communication Risks,鈥� IEEE Transactions on Mobile Computing (TMC), vol. 19, no. 1.
  • Blanc, W., Hashem, L., Elish, K., and Almohri, H. (2019). 鈥淚dentifying Android Malware Families Using Android-Oriented Metrics.鈥� In proceedings of the IEEE International Conference on Big Data (Big Data), Cyber Intelligence and Defense Track, Los Angeles, CA.
  • Elish, K., Shu, X., Yao, D., Ryder, B., and Jiang, X. (2015). 鈥淧rofiling User-Trigger Dependence for Android Malware Detection,鈥� Computers & Security, Elsevier, vol. 49, 255-273.

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