Ole Jakob Mengshoel
About
Ole J. Mengshoel is a Professor at the Department of Computer Science He is also head of the Norwegian Open AI Lab and is a member of the Data and artificial intelligence – (DART) research group. Professor Mengshoel has an MSc in Computer Science from NTH (now NTNU), and a PhD in Computer Science from the University of Illinois at Urbana-Champaign, USA.
Research interests
Artificial intelligence; Machine learning and discovery; Reasoning and learning under uncertainty; Probabilistic and statistical methods (including Bayesian networks); Evolutionary computation; Stochastic local search; Detection, diagnosis, and mitigation; Real-time and embedded systems; Visualization and decision support; Big data and scalability; Applications with artificial intelligence and machine learning.
Recent work experience
- 2018- present; Professor, Department of Computer Science, NTNU
- 2018- present; Adjunct Faculty, ECE Department, Carnegie Mellon University, Silicon Valley, Moffett Field, California, USA
- 2016-2018 Principal Systems Scientist, ECE Department, Carnegie Mellon University, Silicon Valley, Moffett Field, California, USA2012-2016 Associate Research Professor, ECE Department, Carnegie Mellon University, Silicon Valley, Moffett Field, California, USA
- 2008-2012 Senior Systems Scientist, Research Area Lead, USRA/RIACS, NASA Ames Research Center, Moffett Field, , California, USA
- AwardsBest Paper Honorable Mention for “Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention” by Ming Zeng, Haoxiang Gao, Tong Yu, Ole J. Mengshoel, Helge Langseth, Ian Lane, and Xiaobing Liu. The 2018 International Symposium on Wearable Computers (ISWC), Singapore, October 2018.
- Distinguished Senior Program Committee Member, International Joint Conference on Artificial Intelligence (IJCAI, Stockholm, Sweden, ), July 2018.
- Best Paper Award for "Differential adaptive stress testing of airborne collision avoidance systems" by Ritchie Lee, Ole J. Mengshoel, Anshu Saksena, Ryan Gardner, Daniel Genin, Jeffrey Brush, and Mykel J. Kochenderfer. The 2018 AIAA Modeling and Simulation Technologies Conference, Kissimmee, Florida, USA, January 2018.
- Best Paper of Session Award for "Adaptive stress testing of airborne collision avoidance systems" by Ritchie Lee, Mykel J. Kochenderfer, Ole J. Mengshoel, Guillaume P. Brat, and Michael P. Owen. The 2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC), Prague, Czech Republic, September 2015.
- Best Paper Award for “Multi-focus and multi-window techniques for interactive network exploration” by Priya Krishnan Sundararajan, Ole J. Mengshoel, and Ted Selker. Conference on Visualization and Data Analysis 2013, Burlingame, California, USA, February 2013.
- NASA Group Achievement Award: “Team Name: OSMA Software Assurance Research Program (SARP)” NASA, July 2012.
- Winner of Second Int`l Diagnostics Competition (DXC-10), Industrial Track, Problem II. International Workshop on Principles of Diagnosis, October 2010.
- Second SIGART/AAAI Doctoral Consortium, AAAI-97 at Providence, RI, July 1997.
See my publications at:
https://works.bepress.com/ole_mengshoel/
https://scholar.google.com/citations?user=M6Jzt2UAAAAJ&hl=en
Publications
2023
-
Chiu, Ka Yi;
Li, Charlie Chunlin;
Mengshoel, Ole Jakob.
(2023)
Potential applications of deep learning in automatic rock joint trace mapping in a rock mass.
IOP Conference Series: Earth and Environmental Science (EES).
volum 1124.
Academic article
2022
-
Basak, Aniruddha;
Schmidt, Kevin M.;
Mengshoel, Ole Jakob.
(2022)
From data to interpretable models: machine learning for soil moisture forecasting.
International Journal of Data Science and Analytics (JDSA).
Academic article
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob.
(2022)
A Dataset for Efforts Towards Achieving the Sustainable Development Goal of Safe Working Environments.
Advances in Neural Information Processing Systems.
Academic article
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob;
Bach, Kerstin.
(2022)
Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All.
IJCAI International Joint Conference on Artificial Intelligence.
Academic article
-
Hjelmeland, Hanna Waage;
Eriksen, Bjørn-Olav Holtung;
Mengshoel, Ole Jakob;
Lekkas, Anastasios M..
(2022)
Identification of Failure Modes in the Collision Avoidance System of an Autonomous Ferry using Adaptive Stress Testing.
IFAC-PapersOnLine.
Academic article
-
Mengshoel, Ole Jakob;
Flogard, Eirik Lund;
Yu, Tong;
Riege, Jon.
(2022)
Understanding the Cost of Fitness Evaluation for Subset Selection: Markov Chain Analysis of Stochastic Local Search.
GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference.
Academic chapter/article
2021
-
Burak, Jan Jakub;
Mengshoel, Ole Jakob.
(2021)
A Multi-Objective Genetic Algorithm for Jacket Optimization.
GECCO '21: Genetic and Evolutionary Computation Conference, Companion Volume.
Academic chapter/article
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob;
Bach, Kerstin.
(2021)
Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists.
Case-Based Reasoning Research and Development.
Academic chapter/article
-
Foss, Fredrik;
Mengshoel, Ole Jakob.
(2021)
A Multimethod Approach to Multimodal Function Optimization.
GECCO '21: Genetic and Evolutionary Computation Conference, Companion Volume.
Academic chapter/article
-
Mengshoel, Ole Jakob;
Flogard, Eirik Lund;
Riege, Jon;
Yu, Tong.
(2021)
Stochastic Local Search Heuristics for Efficient Feature Selection: An Experimental Study.
NIKT: Norsk IKT-konferanse for forskning og utdanning.
Academic article
-
Mengshoel, Ole Jakob;
Yu, Tong;
Riege, Jon;
Flogard, Eirik Lund.
(2021)
Stochastic Local Search for Efficient Hybrid Feature Selection.
GECCO '21: Genetic and Evolutionary Computation Conference, Companion Volume.
Academic chapter/article
-
Skjærseth, Eirik Høgdahl;
Vinje, Harald;
Mengshoel, Ole Jakob.
(2021)
Novelty Search for Evolving Interesting Character Mechanics for a Two-Player Video Game.
GECCO '21: Genetic and Evolutionary Computation Conference, Companion Volume.
Academic chapter/article
2020
-
Lee, Ritchie;
Mengshoel, Ole Jakob;
Saksena, Anshu;
Gardner, Ryan;
Genin, Daniel;
Silbermann, Joshua;
Owen, Michael;
Kochenderfer, Mykel J..
(2020)
Adaptive stress testing: Finding likely failure events with reinforcement learning.
The journal of artificial intelligence research.
volum 69.
Academic article
-
Mengshoel, Ole Jakob;
Yu, Tong;
Zeng, Ming.
(2020)
Stochastic local search and machine learning: From theory to applications and vice versa.
Frontiers in Artificial Intelligence and Applications.
volum 325.
Summary/Abstract
2019
-
Lee, Ritchie;
Puig-Navarro, Javier;
Agogino, Adrian K.;
Giannakoupoulou, Dimitra;
Mengshoel, Ole Jakob;
Kochenderfer, Mykel J.;
Allen, B. Danette.
(2019)
Adaptive Stress Testing of Trajectory Planning Systems.
AIAA Scitech 2019 Forum.
Chapter
2018
-
Galán, Severino F.;
Mengshoel, Ole Jakob.
(2018)
Neighborhood beautification: Graph layout through message passing.
Journal of Visual Languages and Computing.
volum 44.
Academic article
-
Mengshoel, Ole Jakob;
Fang, Zhou;
Luo, Mulong;
Srivastava, Mani B.;
Gupta, Rajesh K..
(2018)
Mitigating Multi-tenant Interference in Continuous Mobile Offloading.
Cloud Computing – CLOUD 2018. CLOUD 2018. Lecture Notes in Computer Science, vol 10967.
Academic chapter/article
-
Mengshoel, Ole Jakob;
Yu, Tong;
Pan, Shijia;
Xu, Susu;
Chen, Xinlei;
Mirshekari, Mostafa;
Fagert, Jonathon;
Noh, Hae Young.
(2018)
ILPC: Iterative Learning using Physical Constraints in Real-World Sensing Data.
The Workshops of the The Thirty-Second {AAAI} Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2-7, 2018.
Chapter
-
Mengshoel, Ole Jakob;
Zeng, Ming;
Yu, Tong;
Quin, Helen;
Lee, Chris;
Shen, John Paul.
(2018)
Improving Bag-Of-Words: Capturing Local Information for Motion-Based Activity Recognition.
UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers.
Academic chapter/article
-
Zeng, Ming;
Gao, Haoxiang;
Yu, Tong;
Mengshoel, Ole Jakob;
Langseth, Helge;
Lane, Ian;
Liu, Xiaobing.
(2018)
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention.
Proceedings of the 2018 ACM International Symposium on Wearable Computers.
Academic chapter/article
2017
-
Pan, Shijia;
Yu, Tong;
Mirshekari, Mostafa;
Fagert, Jonathon;
Bonde, Amelie;
Mengshoel, Ole Jakob;
Noh, Hae Young;
Zhang, Pei.
(2017)
FootprintID: Indoor Pedestrian Identification through Ambient Structural Vibration Sensing.
PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.
volum 1 (3).
Academic article
2015
-
Schumann M, Johan;
Rozier, Kristin Y;
Reinbacher, Thomas;
Mengshoel, Ole Jakob;
Mbaya, Timmy;
Ippolito, Corey.
(2015)
Towards Real-time, On-board, Hardware-supported Sensor and Software Health Management for Unmanned Aerial Systems.
International Journal of Prognostics and Health Management.
volum 6 (21).
Academic article
2014
-
Mengshoel, Ole Jakob;
Galán, Severino F.;
de Dios, Antonio.
(2014)
Adaptive generalized crowding for genetic algorithms.
Information Sciences.
volum 258.
Academic article
-
Ricks, Brian;
Mengshoel, Ole Jakob.
(2014)
Diagnosis for uncertain, dynamic and hybrid domains using Bayesian networks and arithmetic circuits.
International Journal of Approximate Reasoning.
volum 55 (5).
Academic article
2013
-
Galán, Severino F.;
Mengshoel, Ole Jakob;
Pinter, Rafael.
(2013)
A Novel Mating Approach for Genetic Algorithms.
Evolutionary Computation.
Academic article
-
Schumann, Johann;
Mbaya, Timmy;
Mengshoel, Ole Jakob;
Pipatsrisawat, Knot;
Srivastava, Ashok;
Choi, Arthur;
Darwiche, Adnan.
(2013)
Software health management with Bayesian networks.
Innovations in Systems and Software Engineering.
volum 9 (4).
Academic article
Scientific articles
-
Chiu, Ka Yi;
Li, Charlie Chunlin;
Mengshoel, Ole Jakob.
(2023)
Potential applications of deep learning in automatic rock joint trace mapping in a rock mass.
IOP Conference Series: Earth and Environmental Science (EES).
volum 1124.
Academic article
-
Basak, Aniruddha;
Schmidt, Kevin M.;
Mengshoel, Ole Jakob.
(2022)
From data to interpretable models: machine learning for soil moisture forecasting.
International Journal of Data Science and Analytics (JDSA).
Academic article
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob.
(2022)
A Dataset for Efforts Towards Achieving the Sustainable Development Goal of Safe Working Environments.
Advances in Neural Information Processing Systems.
Academic article
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob;
Bach, Kerstin.
(2022)
Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All.
IJCAI International Joint Conference on Artificial Intelligence.
Academic article
-
Hjelmeland, Hanna Waage;
Eriksen, Bjørn-Olav Holtung;
Mengshoel, Ole Jakob;
Lekkas, Anastasios M..
(2022)
Identification of Failure Modes in the Collision Avoidance System of an Autonomous Ferry using Adaptive Stress Testing.
IFAC-PapersOnLine.
Academic article
-
Mengshoel, Ole Jakob;
Flogard, Eirik Lund;
Riege, Jon;
Yu, Tong.
(2021)
Stochastic Local Search Heuristics for Efficient Feature Selection: An Experimental Study.
NIKT: Norsk IKT-konferanse for forskning og utdanning.
Academic article
-
Lee, Ritchie;
Mengshoel, Ole Jakob;
Saksena, Anshu;
Gardner, Ryan;
Genin, Daniel;
Silbermann, Joshua;
Owen, Michael;
Kochenderfer, Mykel J..
(2020)
Adaptive stress testing: Finding likely failure events with reinforcement learning.
The journal of artificial intelligence research.
volum 69.
Academic article
-
Galán, Severino F.;
Mengshoel, Ole Jakob.
(2018)
Neighborhood beautification: Graph layout through message passing.
Journal of Visual Languages and Computing.
volum 44.
Academic article
-
Pan, Shijia;
Yu, Tong;
Mirshekari, Mostafa;
Fagert, Jonathon;
Bonde, Amelie;
Mengshoel, Ole Jakob;
Noh, Hae Young;
Zhang, Pei.
(2017)
FootprintID: Indoor Pedestrian Identification through Ambient Structural Vibration Sensing.
PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.
volum 1 (3).
Academic article
-
Schumann M, Johan;
Rozier, Kristin Y;
Reinbacher, Thomas;
Mengshoel, Ole Jakob;
Mbaya, Timmy;
Ippolito, Corey.
(2015)
Towards Real-time, On-board, Hardware-supported Sensor and Software Health Management for Unmanned Aerial Systems.
International Journal of Prognostics and Health Management.
volum 6 (21).
Academic article
-
Mengshoel, Ole Jakob;
Galán, Severino F.;
de Dios, Antonio.
(2014)
Adaptive generalized crowding for genetic algorithms.
Information Sciences.
volum 258.
Academic article
-
Ricks, Brian;
Mengshoel, Ole Jakob.
(2014)
Diagnosis for uncertain, dynamic and hybrid domains using Bayesian networks and arithmetic circuits.
International Journal of Approximate Reasoning.
volum 55 (5).
Academic article
-
Galán, Severino F.;
Mengshoel, Ole Jakob;
Pinter, Rafael.
(2013)
A Novel Mating Approach for Genetic Algorithms.
Evolutionary Computation.
Academic article
-
Schumann, Johann;
Mbaya, Timmy;
Mengshoel, Ole Jakob;
Pipatsrisawat, Knot;
Srivastava, Ashok;
Choi, Arthur;
Darwiche, Adnan.
(2013)
Software health management with Bayesian networks.
Innovations in Systems and Software Engineering.
volum 9 (4).
Academic article
Journal publications
-
Mengshoel, Ole Jakob;
Yu, Tong;
Zeng, Ming.
(2020)
Stochastic local search and machine learning: From theory to applications and vice versa.
Frontiers in Artificial Intelligence and Applications.
volum 325.
Summary/Abstract
Part of book/report
-
Mengshoel, Ole Jakob;
Flogard, Eirik Lund;
Yu, Tong;
Riege, Jon.
(2022)
Understanding the Cost of Fitness Evaluation for Subset Selection: Markov Chain Analysis of Stochastic Local Search.
GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference.
Academic chapter/article
-
Burak, Jan Jakub;
Mengshoel, Ole Jakob.
(2021)
A Multi-Objective Genetic Algorithm for Jacket Optimization.
GECCO '21: Genetic and Evolutionary Computation Conference, Companion Volume.
Academic chapter/article
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob;
Bach, Kerstin.
(2021)
Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists.
Case-Based Reasoning Research and Development.
Academic chapter/article
-
Foss, Fredrik;
Mengshoel, Ole Jakob.
(2021)
A Multimethod Approach to Multimodal Function Optimization.
GECCO '21: Genetic and Evolutionary Computation Conference, Companion Volume.
Academic chapter/article
-
Mengshoel, Ole Jakob;
Yu, Tong;
Riege, Jon;
Flogard, Eirik Lund.
(2021)
Stochastic Local Search for Efficient Hybrid Feature Selection.
GECCO '21: Genetic and Evolutionary Computation Conference, Companion Volume.
Academic chapter/article
-
Skjærseth, Eirik Høgdahl;
Vinje, Harald;
Mengshoel, Ole Jakob.
(2021)
Novelty Search for Evolving Interesting Character Mechanics for a Two-Player Video Game.
GECCO '21: Genetic and Evolutionary Computation Conference, Companion Volume.
Academic chapter/article
-
Lee, Ritchie;
Puig-Navarro, Javier;
Agogino, Adrian K.;
Giannakoupoulou, Dimitra;
Mengshoel, Ole Jakob;
Kochenderfer, Mykel J.;
Allen, B. Danette.
(2019)
Adaptive Stress Testing of Trajectory Planning Systems.
AIAA Scitech 2019 Forum.
Chapter
-
Mengshoel, Ole Jakob;
Fang, Zhou;
Luo, Mulong;
Srivastava, Mani B.;
Gupta, Rajesh K..
(2018)
Mitigating Multi-tenant Interference in Continuous Mobile Offloading.
Cloud Computing – CLOUD 2018. CLOUD 2018. Lecture Notes in Computer Science, vol 10967.
Academic chapter/article
-
Mengshoel, Ole Jakob;
Yu, Tong;
Pan, Shijia;
Xu, Susu;
Chen, Xinlei;
Mirshekari, Mostafa;
Fagert, Jonathon;
Noh, Hae Young.
(2018)
ILPC: Iterative Learning using Physical Constraints in Real-World Sensing Data.
The Workshops of the The Thirty-Second {AAAI} Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2-7, 2018.
Chapter
-
Mengshoel, Ole Jakob;
Zeng, Ming;
Yu, Tong;
Quin, Helen;
Lee, Chris;
Shen, John Paul.
(2018)
Improving Bag-Of-Words: Capturing Local Information for Motion-Based Activity Recognition.
UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers.
Academic chapter/article
-
Zeng, Ming;
Gao, Haoxiang;
Yu, Tong;
Mengshoel, Ole Jakob;
Langseth, Helge;
Lane, Ian;
Liu, Xiaobing.
(2018)
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention.
Proceedings of the 2018 ACM International Symposium on Wearable Computers.
Academic chapter/article
Teaching
Courses
Media
2019
-
Academic lectureLee, Ritchie; Puig-Navarro, Javier; Agogino, Adrian K.; Giannakoupoulou, Dimitra; Mengshoel, Ole Jakob; Kochenderfer, Mykel J.; Allen, B. Danette. (2019) Adaptive Stress Testing of Trajectory Planning Systems. AIAA Scitech 2019 Forum . American Institute of Aeronautics and Astronautics; San Diego. 2019-01-07 - 2019-01-11.
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Academic lectureNagi, Imre; Yin, Darren; Yousafzai, Ali; Tzannetos, Dimitrios; Mengshoel, Ole Jakob; Martin, Rodney; Kulkarni, Chetan. (2019) Exploring Gaussian Process Regression and Unscented Kalman Filtering for Lithium-ion Battery Prognostics. AIAA Scitech 2019 Forum . American Institute of Aeronautics and Astronautics; San Diego. 2019-01-07 - 2019-01-11.
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Academic lectureYu, Tong; Mengshoel, Ole Jakob; Meroux, Dominique; Jiang, Zhen. (2019) Machine Learning with Decision Trees and Multi-Armed Bandits: An Interactive Vehicle Recommender System. WCX SAE World Congress Experience . SAE International; Detroit. 2019-04-09 - 2019-04-11.
2018
-
Academic lectureMengshoel, Ole Jakob; Leng, Hongkun; De La Cruz Paulino, Caleb; Haider, Momina; Lu, Rui; Zhou, Zhenhui; Brodin, Per-Erik. (2018) Finding Similar Movies: Dataset, Tools, and Methods. HCI-Europe 2018, International Conferences in Central Europe on Human Computer Interaction (2018) ; Plzen. 2018-05-28 - 2018-06-01.
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Academic lectureMengshoel, Ole Jakob; Yu, Tong; Lane, Ian; Liu, Bing. (2018) Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models. AAAI-18, Thirty-Second AAAI Conference on Artificial Intelligence ; New Orleans. 2018-02-02 - 2018-02-07.
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Academic lectureMengshoel, Ole Jakob; Yu, Tong; Pan, Shijia; Xu, Susu; Chen, Xinlei; Mirshekari, Mostafa; Fagert, Jonathon; Noh, Hae Young. (2018) ILPC: Iterative Learning using Physical Constraints in Real-World Sensing Data. AAAI Workshops, AAAI Conference on Artificial Intelligence 2018 ; New Orleans. 2018-02-02 - 2018-02-07.
-
Academic lectureZeng, Ming; Gao, Haoxiang; Yu, Tong; Mengshoel, Ole Jakob; Langseth, Helge; Lane, Ian; Liu, Xiaobing. (2018) Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention. 2018 ACM International Symposium on Wearable Computers . ACM; Singapore. 2018-10-08 - 2018-10-12.
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Popular scientific lectureØien, Geir Egil Dahle; Mengshoel, Ole Jakob; Ramampiaro, Heri; Svendsen, Torbjørn Karl. (2018) NTNUs strategiske satsing på kunstig intelligens (AI) – bakgrunn, aktiviteter og fremtidsvyer. Medlemsmøte, Det Kongelige Norske Vitenskapers Selskap . Det Kongelige Norske Vitenskapers Selskap; Trondheim. 2018-11-12 - 2018-11-12.