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).
- Real-Time Classification of Pain Level Using Zygomaticus and Corrugator EMG Features (2022)
- Electronics
(A2 Refereed review article in a scientific journal ) - Thread-level Parallelism in Fault Simulation of Deep Neural Networks on Multi-Processor Systems (2022) 2022 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT) Karami Masoomeh, Haghbayan Mohammad-Hashem, Ebrahimi Masoumeh, Miele Antonio, Plosila Juha
(A4 Refereed article in a conference publication ) - Applications of Internet of Things (IoT) in Agriculture - The Potential and Challenges in Smart Farm in Uganda (2021)
- Advances in Intelligent Systems and Computing
(A4 Refereed article in a conference publication ) - A Resource Management Model for Distributed Multi-Task Applications in Fog Computing Networks (2021)
- IEEE Access
(A1 Refereed original research article in a scientific journal) - Cellular Formation Maintenance and Collision Avoidance Using Centroid-Based Point Set Registration in a Swarm of Drones (2021)
- Lecture Notes in Networks and Systems
(A4 Refereed article in a conference publication ) - DBA-Filter: A Dynamic Background Activity Noise Filtering Algorithm for Event cameras (2021)
- Lecture Notes in Networks and Systems
(A4 Refereed article in a conference publication ) - Dynamic Formation Reshaping Based on Point Set Registration in a Swarm of Drones (2021)
- Advances in Intelligent Systems and Computing
(A4 Refereed article in a conference publication ) - Dynamic Resource-Aware Corner Detection for Bio-Inspired Vision Sensors (2021)
- International Conference on Pattern Recognition
(A4 Refereed article in a conference publication ) - Energy-Efficient Mobile Robot Control via Run-time Monitoring of Environmental Complexity and Computing Workload (2021)
- IEEE/RSJ International Conference on Intelligent Robots and Systems
(A4 Refereed article in a conference publication ) - Energy-efficient navigation of an autonomous swarm with adaptive consciousness (2021)
- Remote Sensing
(A1 Refereed original research article in a scientific journal)



