Dr. Eric Muhati Ph.D.

Assistant Professor Cybersecurity Digital Forensics
Information Systems


Ph.D., Computer Science, Howard University, 2021

MS., Business Administration (MBA), Strathmore University, 2017

MS,. Technology Management, Georgetown University, 2015

BS,. Information Technology, Strathmore University, 2012


Expertise and interests in securing computer networks through applied machine learning (ML) algorithms, secure internet of things (IoT), cyber-physical systems (CPS), software-defined systems, autonomous vehicular networks, wireless network virtualization, big data analytics, and general cybersecurity areas.



Eric Muhati and Danda B Rawat. Hidden Markov Model Enabled Prediction and Visualization of Cyber Agility in IoT era. IEEE Internet of Things Journal, doi: 10.1109/JIOT.2021.3056118.


Eric Muhati and Danda B. Rawat, “ASAP: Anti-Spoofing Aphorism using Path-Analysis,” Proc. of the 2021 IEEE/ACM International Symposium on Quality of Service (IWQoS2021), 25-28 June 2021, Tokyo, Japan (Virtual Conference).

Naveen Naik Sapavath, Eric Muhati and Danda B. Rawat, “Prediction and Detection of Cyberattacks using AI Model in Virtualized Wireless Networks,” Proc. of the 2021 IEEE International Conference on Cyber Security and Cloud Computing (IEEE CSCloud 2021), 26-28 June 2021, Washington, DC. Best Paper Award

Eric Muhati and D. B. Rawat, “Adversarial Machine Learning for Inferring Augmented Cyber Agility Prediction,” IEEE INFOCOM 2021 – IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 10-13 May 2021, pp. 1-6, doi: 10.1109/INFOCOMWKSHPS51825.2021.9484471.

Eric Muhati, Danda B. Rawat, Moses Garuba and Laurent Njilla, “CyVi: Visualization of Cyber- Attack and Defense Effects in Geographically Referenced Networks,” Proc. of the 2020 IEEE 17th Annual Consumer Communications & Networking Conference (IEEE CCNC 2020), pp. 1-4, doi: 10.1109/CCNC46108.2020.9045158, 10-13 January 2020, Las Vegas, NV, USA.

H. Olufowobi, U. Ezeobi, E. Muhati, G. Robinson, C. Young, J. Zambreno, and G. Bloom, “Anomaly Detection Approach Using Adaptive Cumulative Sum Algorithm for Controller Area Network,” ACM Workshop on Automotive Cybersecurity (AutoSec), Dallas, TX, March 2019.

DISCLAIMER: The content of this faculty profile page was created, authored, and published by the identified faculty member. Stevenson University (SU) makes absolutely no guarantee as to the currency, accuracy, or quality of information published. The views and opinions expressed on this page or any links made available are strictly those of the author and do not necessarily state or reflect those of SU. The content of this profile page has not been reviewed or approved by Stevenson University.