Rate My Professor Hamed Aboutorab

Aboutorab has published extensively in prominent journals, contributing to advancements in AI applications for logistics and risk management. Key publications include "Adaptive identification of supply chain disruptions through reinforcement learning" (2024, Expert Systems with Applications, co-authored with Hussain OK, Saberi M, Hussain FK, Prior D), "A reinforcement learning-based framework for disruption risk identification in supply chains" (2022, Future Generation Computer Systems, co-authored with Hussain OK, Saberi M, Hussain FK), and "Reinforcement Learning-Based News Recommendation System" (2023, IEEE Transactions on Services Computing, co-authored with Hussain OK, Saberi M, Hussain FK). Other notable works are "Construction supply chain risk management" (2024, Automation in Construction, co-authored with Baghalzadeh Shishehgarkhaneh M et al.), "Transformer-Based Named Entity Recognition in Construction Supply Chain Risk Management in Australia" (2024, IEEE Access, co-authored with Shishehgarkhaneh MB et al.), "ZBWM: The Z-number extension of Best Worst Method and its application for supplier development" (2018, Expert Systems with Applications, co-authored with Saberi M et al.), and contributions to cybersecurity such as "Evolving techniques in cyber threat hunting: A systematic review" (2024, Journal of Network and Computer Applications). His research also appears in Computers and Security, Drones, and Journal of Information Security and Applications, addressing threats in agriculture 4.0 and botnets.