Jim Tørresen

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Norwegian version of this page
Phone +47 22852454
Mobile phone +4792846669
Room 4404
Username
Visiting address Gaustadalléen 23 B Ole-Johan Dahls hus 0373 Oslo
Postal address Postboks 1080 Blindern 0316 Oslo

Jim Torresen received his M.Sc. and Dr.ing. (Ph.D) degrees in computer architecture and design from the Norwegian University of Science and Technology, University of Trondheim in 1991 and 1996, respectively. He has been employed as a senior hardware designer at NERA Telecommunications (1996-1998) and at Navia Aviation (1998-1999). Since 1999, he has been a professor at the Department of Informatics at the University of Oslo (associate professor 1999-2005). Jim Torresen has been a visiting researcher at Kyoto University, Japan for one year (1993-1994), four months at Electrotechnical laboratory, Tsukuba, Japan (1997 and 2000) and a visiting professor at Cornell University, USA for one year (2010-2011).

His research interests at the moment include bio-inspired computing, machine learning, reconfigurable hardware, robotics and applying this to complex real-world applications. Several novel methods have been proposed. He has published approximately 150 scientific papers in international journals, books and conference proceedings. 10 tutorials and several invited talks have been given at international conferences. He is in the program committee of more than ten different international conferences, associate editor of three international scientific journals as well as a regular reviewer of a number of other international journals. He has also acted as an evaluator for proposals in EU FP7 and Horizon2020 and is currently project manager/principle investigator in four projects funded by the Research Council of Norway.

See more information on my other web page.

TEDx Oslo May 2017

Picture: Stine Moen, Studio Vest Fotografer

Tags: Robotics, Artificial Intelligence, Adaptable Systems, Reconfigurable hardware, Biology-inspired Computing, Evolutionary Computing, Evolvable Hardware

Publications

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  • Karbasi, Seyed Mojtaba; Godøy, Rolf Inge; Jensenius, Alexander Refsum & Tørresen, Jim (2021). A Learning Method for Stiffness Control of a Drum Robot for Rebounding Double Strokes.
  • Saplacan, Diana; Khaksar, Weria & Tørresen, Jim (2021). On Ethical Challenges Raised by Care Robots: A Review of the Existing Regulatory-, Theoretical-, and Research Gaps.
  • Saplacan, Diana; Khaksar, Weria & Tørresen, Jim (2021). On Ethical Challenges Raised by Care Robots: A Review of the Existing Regulatory-, Theoretical-, and Research Gaps.
  • da Silva, Bruno Castro & Tørresen, Jim (2021). How to write a scientific paper.
  • da Silva, Bruno Castro & Tørresen, Jim (2021). Deep Neural Networks.
  • da Silva, Bruno Castro & Tørresen, Jim (2021). Deep reinforcement learning.
  • Tørresen, Jim (2021). Tutorial: Intelligent System Research – AI Ethical Challenges and Opportunities.
  • Tørresen, Jim (2021). Tutorial: Ethical Considerations in User Modeling and Personalization.
  • Tørresen, Jim (2021). Tutorial: Ethical Considerations in Robotics and Automation.
  • Tørresen, Jim (2021). Kunstig intelligens – allsidig i metoder og anvendelser.
  • Tørresen, Jim (2021). INTROMAT: INtroducing personalized TReatment Of Mental health problems using Adaptive Technology.
  • Tørresen, Jim (2021). Tutorial: Explainability, Trust and Ethics for Robots and Autonomous Systems.
  • Saplacan, Diana; Tørresen, Jim; Mahler, Tobias & Fosch-Villaronga, Eduard (2021). Robots and Society: Ethical, Legal, and Technical Perspectives on Integrating Robots in the Home- and Healthcare Systems and Services (RO-SO).
  • Tørresen, Jim; Saplacan, Diana; Lintvedt, Mona Naomi; Mahler, Tobias & Fosch-Villaronga, Eduard (2021). Tutorial: Ethical and Legal Assessments Related to Robots and Systems .
  • Karbasi, Seyed Mojtaba; Haug, Halvor Sogn; Kvalsund, Mia-Katrin; Krzyzaniak, Michael Joseph & Tørresen, Jim (2021). A Generative Model for Creating Musical Rhythms with Deep Reinforcement Learning.
  • Noori, Farzan Majeed; Uddin, Md Zia & Tørresen, Jim (2021). Ultra-Wideband Radar-Based Activity Recognition Using Deep Learning. IEEE Access. ISSN 2169-3536. doi: 10.1109/ACCESS.2021.3117667
  • Tørresen, Jim (2020). Tutorial: Ethical Challenges and Opportunities within Computational Intelligence System Development.
  • Tørresen, Jim (2020). Ethical Consideration in Robotics and Intelligent Systems Research.
  • Noori, Farzan Majeed; Uddin, Md Zia & Tørresen, Jim (2020). Presentation on In-Home Emergency Detection Using an Ambient Ultra-Wideband Radar Sensor and Deep Learning.
  • Tørresen, Jim; Kurazume, Ryo & Prestes, Edson (2020). Guest Editorial: Special Issue on Elderly Care Robotics – Technology and Ethics . Journal of Intelligent and Robotic Systems. ISSN 0921-0296. 98, p. 3–4. doi: 10.1007/s10846-020-01148-6
  • Tørresen, Jim (2020). Addressing ethical challenges within evolutionary computation applications: GECCO 2020 tutorial. In Coello Coello, Carlos A. (Eds.), GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery (ACM). ISSN 978-1-4503-7127-8. p. 1206–1223. doi: https%3A/doi-org.ezproxy.uio.no/10.1145/3377929.3389894
  • Tørresen, Jim (2020). Ethical Considerations in User Modeling and Personalization: ACM UMAP 2020 Tutorial. In Kuflik, Tsvi; Torre, Ilaria & Burke, Robin (Ed.), Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM). ISSN 978-1-4503-6861-2. p. 390–391.
  • Tørresen, Jim (2020). Sensing Human State with Application in Older People Care and Mental Health Treatment.
  • Tørresen, Jim (2020). Intelligent Robots and Systems for Foundational and Applied Healthcare Research.
  • da Silva, Bruno Castro & Tørresen, Jim (2020). Deep Neural Networks.
  • da Silva, Bruno Castro & Tørresen, Jim (2020). Write a Scientific Paper.
  • da Silva, Bruno Castro & Tørresen, Jim (2020). Deep reinforcement learning.
  • Tørresen, Jim (2020). Tutorial: Addressing Ethical Challenges within Evolutionary Computation Applications.
  • Tørresen, Jim (2020). A collaboration journey to Japan that started for more than 25 years ago.
  • Tørresen, Jim (2020). Interdisciplinary Research Collaboration in Rhythm, Time and Motion.
  • Tørresen, Jim (2020). Tutorial: Ethical Considerations in User Modeling and Personalization.
  • Jakobsen, Petter; Riegler, Michael; Nordgreen, Tine; Tørresen, Jim; Fasmer, Ole Bernt & Ødegaard, Ketil Joachim (2020). Complexity analysis of motor activity shows differences for patients with bipolar I disorder in manic and euthymic phases.
  • Jakobsen, Petter; Garcia-Ceja, Enrique; Riegler, Michael; Stabell, Lena Antonsen; Nordgreen, Tine & Tørresen, Jim [Show all 8 contributors for this article] (2020). Applying Machine Learning in Motor Activity Time Series of Depressed Bipolar and Unipolar Patients. .
  • Wallace, Benedikte; Nymoen, Kristian; Martin, Charles Patrick & Tørresen, Jim (2020). Towards Movement Generation with Audio Features.
  • Tørresen, Jim (2020). Addressing Ethical Challenges for Care Giving Robots.
  • Lan, Qichao; Tørresen, Jim & Jensenius, Alexander Refsum (2019). RaveForce: A Deep Reinforcement Learning Environment for Music.
  • Jakobsen, Petter; Fasmer, Ole Bernt; Riegler, Michael; Garcia-Ceja, Enrique; Henriksen, Tone Elise Gjøtterud & Nordgreen, Tine [Show all 9 contributors for this article] (2019). Detecting and Predicting Mood Transitions in Bipolar Disorder - study protocol.
  • Tørresen, Jim (2019). Making Robots Adaptive and Preferable to Humans.
  • Tørresen, Jim (2019). Kunstig intelligens – hvem, hva og hvor. (Eng. Artificial Intelligence – who, what and where).
  • Becker, Artur; Herrebrøden, Henrik; Gonzalez Sanchez, Victor Evaristo; Nymoen, Kristian; Dal Sasso Freitas, Carla Maria & Tørresen, Jim [Show all 7 contributors for this article] (2019). Functional Data Analysis of Rowing Technique Using Motion Capture Data.
  • Tørresen, Jim (2019). Folket bør få være med og styre KI-skuta. [Business/trade/industry journal]. Forskningsetikk.
  • Tørresen, Jim (2019). Etikk blir viktigare for tilgang til pengesekken . [Business/trade/industry journal]. Forskningsetikk.
  • Tørresen, Jim (2019). Intelligent Robots and Systems in Real-World Environment.
  • Tørresen, Jim; Glette, Kyrre & Ellefsen, Kai Olav (2019). Intelligent, Adaptive Robots in Real-World Scenarios.
  • Tørresen, Jim; Glette, Kyrre & Ellefsen, Kai Olav (2019). Adaptive Robot Body and Control for Real-World Environments.
  • Rohlfing, Katharina J. & Tørresen, Jim (2019). Explainability: an interactive view.
  • Castro da Silva, Bruno & Tørresen, Jim (2019). Deep Neural Networks.
  • Miura, Jun & Tørresen, Jim (2019). Intelligent Robot Technologies for Care and Lifestyle Support .
  • Comba, Joao Luiz Dihl & Tørresen, Jim (2019). Visual Data Analysis of Unstructured and Big Data.
  • Castro da Silva, Bruno & Tørresen, Jim (2019). How to Write a Scientific Paper .
  • Nygaard, Tønnes Frostad; Martin, Charles Patrick; Tørresen, Jim & Glette, Kyrre (2019). Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing.
  • Nergård, Katrine Linnea; Tørresen, Jim & Endestad, Tor (2021). Analyzing Brain Signals for Robot Control. Universitetet i Oslo.
  • Orten, Mathias Kramer & Tørresen, Jim (2021). Machine Ethics for Autonomous systems – Learning verifiable rules from the environment. Universitetet i Oslo.
  • Eijsink, Henrik; Tørresen, Jim & Endestad, Tor (2021). Analyzing Brain Signals for Control. Universitetet i Oslo.
  • Wang, Lina; Tørresen, Jim & Noori, Farzan Majeed (2021). Emergency Monitoring of Older People Using Multiple Sensors with Privacy in Consideration. Universitetet i Oslo.
  • Akhsarbek, Gozoev; Tørresen, Jim & Iwashita, Yumi (2020). Ultra-Low Image Resolution Human Identification. Universitetet i Oslo.
  • Valer, Rafael; Tørresen, Jim & Nedel, Luciana (2020). Musical Brush: Development and Exploration of a Tool that Supports Creativity by Combining Music with Drawing. Universidade Federal do Rio Grande do Sul.
  • Primstad, Pål; Tørresen, Jim & Iwashita, Yumi (2020). A Thermal and RGB feature extraction system for use in autonomous navigation. Universitetet i Oslo.

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Published Nov. 4, 2010 2:23 PM - Last modified Mar. 17, 2021 12:59 PM