Juha Plosila
Head of the Robotics and Autonomous Systems Unit
juplos@utu.fi +358 29 450 2621 +358 50 383 9453 Vesilinnantie 5 Turku ORCID identifier: https://orcid.org/0000-0003-4018-5495 |
autonomous systems; robotics; unmanned vehicles; drones; embedded systems; cyber physical systems; internet of things; smart systems; fog/edge computing; multi-agent systems; multiprocessors; network on chip; system on chip; multiprocessor system on chip; chip multiprocessors; heterogeneous systems; reconfigurable computing; digital circuits and systems; formal methods
Autonomous Systems Laboratory (ASL): https://asl.utu.fi/
Dr. Juha Plosila (born 1965) is Professor (full) in robotics and autonomous systems, Head of the Robotics and Autonomous Systems unit (cost centre), and Co-Lead of the Autonomous Systems Laboratory (ASL) research group (https://asl.utu.fi/) at the Department of Computing, Universitity of Turku. He received his PhD in electronics and communication technology from UTU in 1999 and his Adjunct Professor (Docent) title in digital systems design in 2006. He held a 5-year position of Academy Research Fellow (Academy of Finland) in 2006-2011 and served as a senior University Lecturer in embedded computing at UTU in 2011-2018. During his tenure at UTU since 2000, he has led many externally funded research projects, supervised more than 20 PhD theses, and served in the management committees of several master's programmes. Plosila has been an active participant in the European Institute of Innovation and Technology (EIT) knowledge and innovation community EIT Digital since 2011, leading the EIT Digital Master Programme in Embedded Systems (a European double-degree programme with 6 partner universities) and representing UTU in the EIT Digital Finland Node Strategy Committee.
Plosila's current research focuses on methodologies for the analysis, design, and control of networked autonomous systems, including different types of intelligent robotic systems as well as adaptive AI systems for runtime resource management in embedded and distributed computing. This combines expertise in the areas of robotics, multi-agent systems, optimisation, machine learning, computer vision, and computing systems design. He also has a strong background in network-on-chip design as well as in formal mehods for system design and verification.
Google Scholar statistics: https://scholar.google.com/citations?user=em4kCrUAAAAJ&hl=en
Lecturer for 18 different courses since 1999 in the fields of digital circuit and system design, multiprocessor architectures, computer architectures, reconfigurable computing, embedded systems, modelling and verification, as well as autonomous systems:
Autonomous Systems Architectures, MSc-level, 5 ECTS (2019- ); Regonfigurable Computing, MSc-level, 5 ECTS (at Fudan University, China, 2013- ); Processor Architectures, BSc-level, 5 ECTS (2020); Computer Architectures and Operating Systems, BSc-level, 4 ECTS (2017-2019), Multiprocessor Architectures, MSc-level, 5 ECTS, (2006, -08, -10, 2012-2018); System on Chip Design, MSc-level, 5 ECTS (2015-2016); Seminar on Embedded Computing, MSc/PhD-level, 5 ECTS (2012-2014); Modelling Parallel Systems, MSc-level (2011); Formal System Modelling and Verification, MSc-level, 5 ECTS, (2008, -10); Post Graduate Course on Digital Circuit & System Design, PhD-level; 5 ECTS (2009); Advanced Multiprocessor Systems, MSc-level, 5 ECTS (2009); System Verification, MSc-level, 5 ECTS (2007); Computer Architectures, BSc-level, 7 ECTS (2006-2007); Asynchronous System Design, MSc-level, 5 ECTS (2003, -05, -07); Formal System Specification and Design, MSc-level; 10 ECTS (2004, -06); Digital Integrated Circuit Design, BSc-level, 7 ECTS (2000-2005); Digital Systems Engineering, MSc-level, 10 ECTS (2001, -02, -04); Principles of Digital Design, BSc-level, 5 ECTS (1999-2000, -04).
- Navigation System For Landing A Swarm Of Autonomous Drones On A Movable Surface (2020)
- Proceedings: European Conference for Modelling and Simulation
(A4 Refereed article in a conference publication ) - Night vision obstacle detection and avoidance based on Bio-Inspired Vision Sensors (2020)
- Proceedings of IEEE Sensors
(A4 Refereed article in a conference publication ) - Particle telescope aboard FORESAIL-1: Simulated performance (2020)
- Advances in Space Research
(A1 Refereed original research article in a scientific journal) - Thermal-Cycling-aware Dynamic Reliability Management in Many-Core System-on-Chip (2020)
- Proceedings : Design, Automation, and Test in Europe Conference and Exhibition
(A4 Refereed article in a conference publication ) - Towards Dynamic Monocular Visual Odometry Based on an Event Camera and IMU Sensor (2020) Intelligent Transport Systems. From Research and Development to the Market Uptake Sherif A. S. Mohamed, Mohammad-Hashem Haghbayan, Mohammed Rabah, Jukka Heikkonen, Hannu Tenhunen, Juha Plosila
(A4 Refereed article in a conference publication ) - Towards Real-Time Edge Detection for Event Cameras Based on Lifetime and Dynamic Slicing (2020)
- Advances in Intelligent Systems and Computing
(A4 Refereed article in a conference publication ) - Unmanned Aerial Vehicles (UAVs): Collision Avoidance Systems and Approaches (2020)
- IEEE Access
(A1 Refereed original research article in a scientific journal) - A qualitative comparison model for application layer IoT protocols (2019) 2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC) Kakakhel S., Westerlund T., Daneshtalab M., Zou Z., Plosila J., Tenhunen H.
(A4 Refereed article in a conference publication ) - A Survey on Odometry for Autonomous Navigation Systems (2019)
- IEEE Access
(A1 Refereed original research article in a scientific journal) - Energy-aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model (2019)
- IEEE Transactions on Cloud Computing
(A1 Refereed original research article in a scientific journal)



