Hashem Haghbayan
PhD
hashem.haghbayan@utu.fi Office: 456G ORCID identifier: https://orcid.org/ https://orcid.org/ 0000-0001-6583-4418 |
Autonomous systems; Circuit design, verification, and test; Machine-learning; High-performance energy-efficient computer architectures; Control systems.
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)
- A Survey on Odometry for Autonomous Navigation Systems (2019)
- IEEE Access
(A1 Refereed original research article in a scientific journal) - Formation Maintenance and Collision Avoidance in a Swarm of Drones (2019) ISCSIC 2019: 2019 3rd International Symposium on Computer Science and Intelligent Control Yasin J.N., Haghbayan M.H., Heikkonen J., Tenhunen H., Plosila J.
(A4 Refereed article in a conference publication ) - Swarms of Unmanned Aerial Vehicles – A Survey (2019)
- Journal of industrial information integration
(A2 Refereed review article in a scientific journal ) - adBoost: Thermal Aware Performance Boosting through Dark Silicon Patterning (2018)
- IEEE Transactions on Computers
(A1 Refereed original research article in a scientific journal) - An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments (2018)
- Proceedings of the IEEE international conference on intelligent transportation systems
(A4 Refereed article in a conference publication ) - Approximation for Run-time Power Management (2018)
- IEEE International Symposium on Circuits and Systems. Proceedings
(A4 Refereed article in a conference publication ) - Object Detection Based on Multi-sensor Proposal Fusion in Maritime Environment (2018) 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) Fahimeh Farahnakian, Mohammad-Hashem Haghbayan, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Jukka Heikkonen
(A4 Refereed article in a conference publication ) - Accuracy-Aware Power Management for Many-Core Systems Running Error-Resilient Applications (2017)
- IEEE Transactions on Very Large Scale Integration (VLSI) Systems
(A1 Refereed original research article in a scientific journal) - Can Dark Silicon Be Exploited to Prolong System Lifetime? (2017)
- IEEE Design and Test
(A1 Refereed original research article in a scientific journal) - Dark silicon patterning: Efficient power utilization through run-time mapping (2017) The Dark Side of Silicon: Energy Efficient Computing in the Dark Silicon Era Anil Kanduri, Mohammad-Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen
(A3 Refereed book chapter or chapter in a compilation book) - Energy-Efficient and Reliable Computing in Dark Silicon Era (2017) Haghbayan Mohammad-Hashem
(G5 Article dissertation ) - Performance/Reliability-Aware Resource Management for Many-Cores in Dark Silicon Era (2017)
- IEEE Transactions on Computers
(A1 Refereed original research article in a scientific journal) - Real-Time Swimmer Tracking on Sparse Camera Array (2017) Pattern Recognition Applications and Methods: 5th International Conference, ICPRAM 2016, Rome, Italy, February 24-26, 2016, Revised Selected Papers Paavo Nevalainen, M. Hashem Haghbayan, Antti Kauhanen, Jonne Pohjankukka, Mikko-Jussi Laakso, Jukka Heikkonen
(A4 Refereed article in a conference publication ) - Reliability-Aware Runtime Power Management for Many-Core Systems in the Dark Silicon Era (2017)
- IEEE Transactions on Very Large Scale Integration (VLSI) Systems
(A1 Refereed original research article in a scientific journal) - A Lifetime-Aware Runtime Mapping Approach for Many-core Systems in the Dark Silicon Era (2016) Design, Automation & Test in Europe Conference & Exhibition (DATE), 2016 Haghbayan MH, Miele A, Rahmani AM, Liljeberg P, Tenhunen H
(A4 Refereed article in a conference publication ) - A Multi-Objective Power Management for CMPs in the Dark Silicon Age (2016) The Dark Side of Silicon Amir M. Rahmani, Mohammad-Hashem Haghbayan, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen
(B2 Non-refereed book chapter or chapter in a compilation book) - A Power-Aware Approach for Online Test Scheduling in Many-core Architectures (2016)
- IEEE Transactions on Computers
(A1 Refereed original research article in a scientific journal) - Approximation Knob: Power Capping Meets Energy Efficiency (2016) Proceedings of the 35th International Conference on Computer-Aided Design Kanduri Anil, Haghbayan Mohammad-Hashem, Rahmani Amir M., Liljeberg Pasi, Jantsch Axel, Dutt Nikil, Tenhunen Hannu
(A4 Refereed article in a conference publication ) - Online Software-Based Self-Testing in the Dark Silicon Era (2016) The Dark Side of Silicon Haghbayan Mohammad-Hashem, Rahmani Amir-Mohammad, Miele Antonio, Liljeberg Pasi, Tenhunen Hannu
(B2 Non-refereed book chapter or chapter in a compilation book) - Accelerated On-Chip Communication Test Methodology Using a Novel High-Level Fault Model (2015) IEEE 9th International Symposium on Embedded Multicore/Many-core Systems-on-Chip, MCSoC 2015, Turin, Italy Elmira Karimi, Mohammad-Hashem Haghbayan, Amir-Mohammad Rahmani, Mohmoud Tabandeh, Pasi Liljeberg, Zainalabedin Navabi
(A4 Refereed article in a conference publication )
