Peter Funk, Professor
Dr Peter Funk is Professor in Artificial Intelligence/Computer Science at Mälardalen University and founded, and is heading the Artificial Intelligence group since 2001. The group was ranked as one of the 6 most productive and successful AI groups in Sweden in VINNOVAs (Sweden’s innovation agency) report to the government April 2018.
Peter Funk was nominated 2018 and is listed on IVAs (the Royal Swedish Academy of Engineering Sciences) 100-list of influential researchers in digitalization (based on a set of criteras including innovation potential, productivity, application in society, scientific excelence).
Peter has more than 150 scientific publication and more than 2500 citations.
Research areas and interest:
- Applied Artificial Intelligence techniques for industrial, medical and business applications
- Machine Learning, Case-Based Reasoning and Experience Based Systems
- Knowledge discovery and Knowledge Sharing Systems
- Big Data and Smart Data, Neural nets and Deep learning
- Capturing and using domain knowledge in hybrid AI systems
- UX, natural language processing, conversational systems,
- Knowledge representations, semantic nets, data mining, ontologies ..
- Strategy for applying AI
Peter received his Ph.D. from the University of Edinburgh, Department of Artificial Intelligence 1998 funded by the Wallenberg grant for scientific research (the first candidate who received the Wallenberg grant 3 times). Edinburh University is one of the top ranked university’s in the world and was the first university with a department in Artificial Intelligence.
Peter is dedicated to perform much applied research and use real problems as a driving force and motivator for new scientific research results. Peter's previous work with R&D in the Computer Science department at Ericsson for more than 7 year (novel applications of artificial intelligence) before perusing his PhD in Edinburgh has given him a strong foundation in applied research.
Beside leading and participating in a large number of research projects in the medical, industrial and business area (funded by EU FP7, ITEA2, FFI, KKS, Vinnova, SSF and received granted adding up to more than 4,5 M€). Peter is also active in numerous conferences, program committees, in Editorial board for high ranked international journals (e.g. The International Journal of Artificial Intelligence, Springer). Beside project leader of large national and international projects Peter is also expert advisor/strategist both for companies, industry, funding agencies and research projects (e.g. a 4 M€ Vinnova project Citizen Communication Platform).
Peter has a long track record of helping both small innovative companies and large organizations to more efficiently use of artificial intelligence. He uses his creativity and skill in seeing how research results can be adapted and used to solve their challenges in an efficient way, seeing novel and efficient solutions to tasks previously often believed to be to hard to solve using more traditional methods and techniques.
Peter was the chair of the Swedish Artificial Intelligence Society 2006 - 2009.
Main supervisor for 6 PhD students (all graduated). Assistant supervisor for 3 PhD students.
Examination board/external examiner
- Umeå Universitet, Chunli Yan, thesis "Developing Clinical Decision-Support Systems for Learning and Skill Development", 2018
- KTH, Hossein Shahrokni, thesis "Smart Urban Metabolism - Toward a new understanding of causalities in cities” 2015
- University College Dublin, Ireland, Zurina Saaya, 2014.
- MDH, Anna Granlund, 2014
- Örebro University, Rikard König, 2014
- Robert Gordon University, Ibrahim Adeyanju, Aberdeen, Scotland, 2011
- Örebro University, Christoffer Brax, 2011
- Örebro University, Fredrik Johanssons 2010
- Luleå University of Technology, Arne Nissen 2009
- Linköping University, Ulf Johansson 2007
- KTH, Christopher Johansson 2006
- MDH, Jenny Nyström 2006
- Trinity College Dublin, Ireland, Dónal Doyle, 2005.
- University College Dublin, Irland, Keith Bradley, 2004.
- Applied Artificial Intelligence techniques for industrial, medical and business applications
- Machine Learning, Case-Based Reasoning and Experience Based Systems
- Knowledge discovery and Knowledge Sharing Systems
- Big Data and Smart Data, Neural nets and Deep learning
- Capturing and using domain knowledge in hybrid AI systems
- UX, natural language processing, conversational systems,
- Knowledge representations, semantic nets, data mining, ontologies ..
- Strategy for applying AI
Combining Ontology and Large Language Models to Identify Recurring Machine Failures in Free-Text Fields (Apr 2024) Marcus Bengtsson, Mobyen Uddin Ahmed, Ricky Stanley D Cruze , Peter Funk, Tomohiko Sakao , Rickard Sohlberg Dr H.C. THE 11th SWEDISH PRODUCTION SYMPOSIUM (SPS24)
A Case Study on Ontology Development for AI Based Decision Systems in Industry (Jul 2023) Ricky Stanley D Cruze , Mobyen Uddin Ahmed, Marcus Bengtsson, Peter Funk, Rickard Sohlberg Dr H.C., Atiq Ur Rehman 7th International Congress and Workshop on Industrial AI and eMaintenance (IAI)
Simulation Environment evaluating AI algorithms for Search Missions Using Drone Swarms (Jul 2023) Nils Sundelius, Peter Funk, Rickard Sohlberg Dr H.C. 7th International Congress and Workshop on Industrial AI and eMaintenance (IAI)
Cooperative Search and Rescue with Drone Swarm (Jul 2023) Luiz Giacomossi , Nils Sundelius, José F. B. Brancalion , Marcos R. O. A. Maximo , Peter Funk, Rickard Sohlberg Dr H.C. 7th International Congress and Workshop on Industrial AI and eMaintenance (IAI)
Artificial Intelligence-based Life Cycle Engineering in Industrial Production: A Systematic Literature Review (Jan 2023) Hamidur Rahman, Ricky Stanley D Cruze , Mobyen Uddin Ahmed, Rickard Sohlberg Dr H.C., Tomohiko Sakao , Peter Funk Journal of IEEE ACCESS (IEEE ACCESS)
Vision-Based Driver’s Cognitive Load Classification Considering Eye Movement Using Machine Learning and Deep Learning (Nov 2021) Hamidur Rahman, Mobyen Uddin Ahmed, Shaibal Barua, Peter Funk, Shahina Begum Special Issue on Deep Learning in Biomedical Informatics and Healthcare (Sensors)
Markus Nilsson (former)
Mikael Sollenborn (former)
Taha Kahn (former)
Tomas Olsson (former)
Hamidur Rahman (former)
Shaibal Barua (former)