Rate My Professor Consolee Mbarushimana

Mbarushimana's research specializations encompass wireless network protocols, mobile ad hoc networks (MANETs), and cybersecurity applications of machine learning. Key publications feature 'The Effect of Routing Protocol Dynamics on TCP Performance in Mobile Ad Hoc Networks' (2007, with Ali Shahrabi and Hadi Larijani), 'Resource Efficient TCP: Reducing Contention-Induced Spurious Timeouts in QoS-Aware MANETs' (2008, with Alireza Shahrabi), 'A Cross-Layer TCP Enhancement in QoS-Aware Mobile Ad Hoc Networks' (2013), 'Deep Learning-Based Classification Model for Botnet Attack Detection' (2020), and 'Towards Privacy-Preserving Deep Learning for Intelligent IoT Botnet Detection' (2026, Applied Sciences, with Ariwan M. Rasool and Nader Sohrabi Safa). He has 16 publications with 298 citations on ResearchGate. In his academic role, Mbarushimana teaches modules such as Digital Forensics (6CS010), Advanced Networks (6CS029), and Azure Linux Server configurations (5CS022). He has facilitated student work placements with regional policing cyber crime units and serves on technical program committees for conferences including ITSS-IoE 2025 and ICETCS 2025.