Projekt per år
Personlig profil
Biografi
Prof. Johan Lilius is full professor of Embedded Systems at Åbo Akademi since 2001. He is the leader of the Embedded Systems Laboratory, which has strong international and industrial links and he was a member of the research group "Formal Methods in Programming" that was awarded the status of Centre of Excellency by the Academy of Finland. He has won the Ten-Year Most Influential Paper Award at the ACM/IEEE Conference on Model Driven Engineering Languages and Systems, and a number of Best Paper awrds. He has experience in leading large academic organisations, he has been Head of Turku Center for Computer Science, and Head of Department in two periods. During his leadership he particpated in major reorgansiations of the University. He is experienced in leading PhD reserach, he has been head of the TUCS graduate programme, and currently he is head of the DITM doctoral Network. He is member of the Editorial board of "Transactions on Petri Nets and Other Models of Concurrency" and a regular member of Program Committees of the relevant conferences in the Embedded systems area. He has co-organised and co-chaierd several workshops, summer schools and conferences. He has completed the supervision of 6 doctoral students, and is curretly supervising 5 students. He has published 140 research papers. His research interests include Energy-efficient Software, Programming Models for Multi-cores, System-Level Design, Performance Engineering and Models of Concurrency. He is in charge of the Embedded Systems Curriculum, the Embedded Computing Masters Programme and coordinates a number of double degree programmes.
Forskningsintressen
Autonomous Navigation algorithms, Embedded Deep Neural Computing, Energy-efficient Software.
Nyckelord
- QA76 Computer software
Fingeravtryck
- 9 Liknande profiler
Projekt
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ESC: Efficient Stream Computing by Fitting Computations to Cores
Lilius, J., Lafond, S., Zelioli, L., Iancu, B., Soloviev, V., Georgakarakos, G. & Kanur Chandra Shekar, S.
01/09/17 → 31/08/21
Projekt: Forskning
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RAAS: Research Alliance for Autonomous Systems
Hellström, M., Lilius, J., Wikström, K., Schwartz, H. & Ringbom, H.
07/08/18 → 30/11/20
Projekt: Forskning
Publikationer
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Challenges of Artificial Intelligence and Machine Learning Software in Autonomous Vessels
Ashraf, A., Lilius, J., Porres Paltor, I., Walden, M. & Petre, L., 2020, Proceedings of International Seminar on Safety and Security of Autonomous Vessels (ISSAV'19). s. –Forskningsoutput: Kapitel i bok/konferenshandling › Konferensbidrag › Vetenskaplig
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An efficient model for quantifying the interaction between structural properties of software and hardware in the ARM big.LITTLE architecture
Stepanovic, S., Georgakarakos, G., Holmbacka, S. & Lilius, J., 2019, I: Concurrency and Computation: Practice and Experience. s. –Forskningsoutput: Tidskriftsbidrag › Artikel › Vetenskaplig › Peer review
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Inactivity Benchmarking
Lund, W. & Lilius, J., 2018, 2018 International Conference on High Performance Computing & Simulation (HPCS). Smari Khalid Zine-Dine, W. W. (red.). IEEE, s. 1028–1033Forskningsoutput: Kapitel i bok/konferenshandling › Konferensbidrag › Vetenskaplig › Peer review
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Detecting data-parallel synchronous dataflow graphs
Kanur Chandra Shekar, S., Lilius, J. & Ersfolk, J., 2017, Design and Architectures for Signal and Image Processing (DASIP), 2017 Conference on. IEEE, s. 67–72Forskningsoutput: Kapitel i bok/konferenshandling › Konferensbidrag › Vetenskaplig › Peer review
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Energy-Awareness and Performance Management with Parallel Dataflow Applications
Holmbacka, S., Nogues, E., Pelcat, M., Lafond, S., Menard, D. & Lilius, J., 2017, I: Journal of Signal Processing Systems. 87, 1, s. 33–48Forskningsoutput: Tidskriftsbidrag › Artikel › Vetenskaplig › Peer review