Dr. Hashem Haghbayan is a senior researcher affiliated with the Autonomous Systems Laboratory (ASL) research group at the Department of Computing, University of Turku (UTU). He holds a Master's degree in computer architecture from the University of Tehran, awarded in 2009, and earned his Ph.D. with honors from the University of Turku in 2018. His doctoral research concentrated on resource management for computing platforms, specifically addressing chip-level constraints such as power and reliability. Post-Ph.D., Dr. Haghbayan has contributed to various research projects as a postdoctoral researcher at UTU. Notably, he spent six months, from January 2021 to June 2021, as a visiting researcher at the SAFARI research group in ETH Zürich. Additionally, he undertakes several visits to Politecnico di Milano University, supported by the Nokia Jorma Ollila Grant, which he has received for two consecutive years. Dr. Haghbayan has actively contributed to the academic community by serving as a reviewer for reputable international journals, including IEEE Transactions on Computers (TC), IEEE Transactions on Very Large Scale Integration Systems (TVLSI), IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), and ACM Transactions on Embedded Computing Systems.

Dr. Haghbayan's research interests span three main branches: 1) Computing Resource Management for Embedded Intelligent Systems: Focuses on the development of resource management algorithms to ensure the efficient execution of various applications in autonomous systems. Encompasses the creation of computing platforms tailored for AI and robotic applications, leveraging cutting-edge computer architectures.
Includes exploration of emerging computing platforms such as AI specialized architectures, processing in memory (PIM), memristors, and networked cloud-fog-edge. 2) Multi-Agent System Design and Programming: Concentrates on the development of efficient swarm intelligence, cognitive agent design, and agent-oriented programming. Aims to enhance the design and programming paradigms of multi-agent systems. 3) Artificial Intelligence for Autonomous Systems: Focuses on developing AI solutions for both computational and organizational management aspects of embedded intelligent systems. Aims to contribute to the advancement of artificial intelligence in the context of autonomous systems. Dr. Haghbayan's comprehensive research portfolio reflects a commitment to advancing computing resource management, multi-agent systems, and artificial intelligence, with implications for the efficient operation of embedded intelligent systems.

Multi-processor Architectures, Fall 2018, 5 ECTS (University of Turku); Autonomous Systems Architectures, Fall 2019, 5 ECTS (University of Turku); Autonomous Systems Architectures, Fall 2020, 5 ECTS (University of Turku); Autonomous Systems Architectures, Fall 2021, 5 ECTS (University of Turku); Autonomous Systems Architectures, Spring 2023, 5 ECTS (University of Turku); Autonomous Systems Architectures, Spring 2024, 5 ECTS (University of Turku); Hardware Accelerators for AI, Spring 2024, 5 ECTS (University of Turku)