Mulualem Bitew Anley

Mulualem Bitew Anley is a Ph.D. graduate in the National Ph.D. Program in Cybersecurity, jointly enrolled at the IMT School for Advanced Studies Lucca and the Università degli Studi di Milano, Italy. His doctoral thesis, titled “Robust AI-based DDoS Attack Detection in Complex Scenarios,” addresses the challenge of securing distributed machine learning systems from adversarial threats in IoT and edge environments.

His research focuses on Trustworthy AI, federated learning, intrusion detection systems, and IoT security — with particular emphasis on robust AI-based DDoS attack detection and data poisoning resilience (including availability, integrity, and backdoor attacks) in distributed learning environments. He has been affiliated with the Security, Privacy, and Data Protection (SPDP) Lab at the Università degli Studi di Milano, under the supervision of Prof. Vincenzo Piuri, Prof. Pierangela Samarati, and Prof. Angelo Genovese.

Prior to his doctoral studies, Mulualem served as a Lecturer in Information Systems at the University of Gondar, Ethiopia (2014–2022), teaching courses in AI, cybersecurity, data mining, and database systems. He received his M.Sc. in Information Technology from the University of Gondar and his B.Sc. from Adama Science and Technology University.

He is actively seeking postdoctoral positions and research collaborations at the intersection of AI security, federated learning, and networked systems security.