Pål Halvorsen

Pål Halvorsen (født 26. desember 1971) er en norsk informatiker og forsker, og er professor ved Simula Metropolitan Center for Digital Engineering (SimulaMet) og Institutt for informasjonsteknologi ved Oslomet – storbyuniversitetet. Halvorsen er også professor II ved DIS Digital infrastruktur og sikkerhet ved Universitetet i Oslo (UiO).Halvorsens forskning har særlig beskjeftiget seg med distribuerte multimediasystemer og videostrømming, samt utvikling av maskinlæringsmodeller for optimalisering av medisinske undersøkelser og idrettsprestasjoner.


== Utdanning og yrkeskarriere ==
Halvorsen har doktorgrad i informatikk fra Universitetet i Oslo. Doktoravhandlingen hadde tittelen Improving I/O Performance of Multimedia Servers og ble publisert i 2001. I perioden 2002-2019 var han ansatt ved UiO som førsteamanuensis og senere professor. Fra 2006 og til 2017 arbeidet Halvorsen også som henholdsvis forsker og professor ved Simula Research Laboratory, før han så ble tilsatt som forsker og professor ved SimulaMet. Siden 2019, har han vært tilsatt ved SimulaMet som forsker, avdelingssjef og forsknings-professor, som professor ved OsloMet og som professor II ved Universitetet i Oslo.


== Vitenskapelige publikasjoner i utvalg ==
Ionescu, Bogdan; Müller, Henning; Péteri, Renaud; Abacha, Asma Ben; Datla, Vivek; Hasan, Sadid A.; Demner-Fushman, Dina; Kozlovski, Serge; Liauchuk, Vitali; Cid, Yashin Dicente; Kovalev, Vassili; Pelka, Obioma; Friedrich, Christoph M.; García Seco de Herrera, Alba; Ninh, Van-Tu; Le, Tu-Khiem; Zhou, Liting; Piras, Luca; Riegler, Michael; Halvorsen, Pål; Tran, Minh-Triet; Lux, Mathias; Gurrin, Cathal; Dang Nguyen, Duc Tien; Chamberlain, Jon; Clark, Adrian; Campello, Antonio; Fichou, Dimitri; Berari, Raul; Brie, Paul; Dogariu, Mihai; Ştefan, Liviu Daniel; Constantin, Mihai Gabriel (2020). Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications. Lecture Notes in Computer Science (LNCS). Vol. 12260.
Jakobsen, Petter; Garcia-Ceja, Enrique; Stabell, Lena Antonsen; Ødegaard, Ketil Joachim; Berle, Jan Øystein; Lasantha Bandara Thambawita, Vajira; Hicks, Steven; Halvorsen, Pål; Fasmer, Ole Bernt; Riegler, Michael (2020). PSYKOSE: A motor activity database of patients with schizophrenia. Computer-Based Medical Systems. Vol. 2020:9182896.
Jha, Debesh; Riegler, Michael Alexander; Johansen, Dag; Halvorsen, Pål; Johansen, Håvard D. (2020). DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation. 7 s. IEEE International Symposium on Computer-Based Medical Systems.
Thambawita, Vajira; Jha, Debesh; Hammer, Hugo Lewi; Johansen, Håvard D.; Johansen, Dag; Halvorsen, Pål; Riegler, Michael (2020). An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification. 29 s. ACM Transactions on Computing for Healthcare. Vol. 1.
Borgli, Hanna; Thambawita, Vajira; Smedsrud, Pia H; Hicks, Steven; Jha, Debesh; Eskeland, Sigrun Losada; Randel, Kristin Ranheim; Pogorelov, Konstantin; Lux, Mathias; Dang Nguyen, Duc Tien; Johansen, Dag; Griwodz, Carsten; Stensland, Håkon Kvale; Garcia-Ceja, Enrique; Schmidt, Peter T; Hammer, Hugo Lewi; Riegler, Michael; Halvorsen, Pål; de Lange, Thomas (2020). HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy. Scientific Data.
Thambawita, Vajira; Hicks, Steven; Borgli, Hanna; Stensland, Håkon Kvale; Jha, Debesh; Svensen, Martin Kristoffer; Pettersen, Svein Arne; Johansen, Dag; Johansen, Håvard D.; Pettersen, Susann Dahl; Nordvang, Simon; Pedersen, Sigurd; Gjerdrum, Anders Tungeland; Grønli, Tor-Morten; Fredriksen, Per Morten; Eg, Ragnhild; Hansen, Kjeld S.; Fagernes, Siri; Claudi, Christine; Biørn-Hansen, Andreas; Dang Nguyen, Duc Tien; Kupka, Tomas; Hammer, Hugo Lewi; Jain, Ramesh; Riegler, Michael; Halvorsen, Pål (2020). PMData: a sports logging dataset. Alay, Özgü; Toni, Laura (Red.). MMSys '20: Proceedings of the 11th ACM Multimedia Systems Conference. konferanseartikkel. s. 231-236. Association for Computing Machinery (ACM).
Svoren, Henrik; Thambawita, Vajira; Halvorsen, Pål; Jakobsen, Petter; Garcia-Ceja, Enrique; Noori, Farzan Majeed; Hammer, Hugo Lewi; Lux, Mathias; Riegler, Michael; Hicks, Steven (2020). Toadstool: a dataset for training emotional intelligent machines playing Super Mario Bros. Alay, Özgü; Toni, Laura (Red.). MMSys '20: Proceedings of the 11th ACM Multimedia Systems Conference. Article. s. 309-314. Association for Computing Machinery (ACM).
Pettersen, Svein Arne; Johansen, Håvard D.; Baptista, Ivan AM; Halvorsen, Pål; Johansen, Dag (2020). Quantified Soccer Using Positional Data: A Case Study. Sperlich, Billy; Holmberg, Hans-Christer; Aminian, Kamiar (Red.). WEARABLE SENSOR TECHNOLOGY FOR MONITORING TRAINING LOAD AND HEALTH IN THE ATHLETIC POPULATION. Quantified Soccer Using Positional Data: A Case Study. s. 264-269. Frontiers.
Jha, Debesh; Smedsrud, Pia; Riegler, Michael; Halvorsen, Pål; de Lange, Thomas; Johansen, Dag; Johansen, Håvard D. (2020). Kvasir-SEG: A segmented polyp dataset. Lecture Notes in Computer Science (LNCS). Vol. 11962 LNCS.
Jha, Debesh; Smedsrud, Pia; Riegler, Michael; Johansen, Dag; de Lange, Thomas; Halvorsen, Pål; Johansen, Håvard D. (2019). ResUNet++: An Advanced Architecture for Medical Image Segmentation. Ceballos, Cristina (Red.). Proceedings of the 2019 IEEE International Symposium on Multimedia ISM 2019. KAPITTEL. s. 225-230. IEEE.
Hicks, Steven; Riegler, Michael; Smedsrud, Pia; Haugen, Trine B.; Randel, Kristin Ranheim; Pogorelov, Konstantin; Stensland, Håkon Kvale; Dang Nguyen, Duc Tien; Lux, Mathias; Petlund, Andreas; de Lange, Thomas; Schmidt, Peter T; Halvorsen, Pål (2019). ACM Multimedia BioMedia 2019 Grand Challenge Overview. Gravier, Guillaume; Hung, Hayley; Ngo, Chong-Wah; Ooi, Wei Tsang (Red.). Proceedings of the 27th ACM International Conference on Multimedia. Paper. s. 2563-2567. ACM Publications.
Halvorsen, Pål; Riegler, Michael; Schoeffmann, Klaus (2019). Medical Multimedia Systems and Applications. Gravier, Guillaume; Hung, Hayley; Ngo, Chong-Wah; Ooi, Wei Tsang (Red.). Proceedings of the 27th ACM International Conference on Multimedia. 2019. ACM Publications.
Pogorelov, Konstantin; Suman, Shipra; Azmadi Hussin, Fawnizu; Saeed Malik, Aamir; Ostroukhova, Olga; Riegler, Michael; Halvorsen, Pål; Hooi Ho, Shiaw; Goh, Khean-Lee (2019). Bleeding detection in wireless capsule endoscopy videos - Color versus texture features. Journal of Applied Clinical Medical Physics. Vol. 20.
Hicks, Steven; Smedsrud, Pia H; Riegler, Michael; de Lange, Thomas; Petlund, Andreas; Eskeland, Sigrun Losada; Pogorelov, Konstantin; Schmidt, Peter Thelin; Halvorsen, Pål (2019). Deep Learning for Automatic Geneation of Endoscopy Reports. Gastrointestinal Endoscopy. Vol. 89.
Lux, Mathias; Halvorsen, Pål; Dang Nguyen, Duc Tien; Stensland, Håkon Kvale; Kesavulu, Manjo; Potthast, Martin; Riegler, Michael (2019). Summarizing E-Sports Matches and Tournaments - The Example of Counter-Strike: Global Offensive. Montagud, Mario; De Simone, Fransesca; Murray, Naill (Red.). Proceedings of the 11th ACM Workshop on Immersive Mixed and Virtual Environment Systems. paper. s. 13-18. ACM Publications.
Haugen, Trine B.; Hicks, Steven; Andersen, Jorunn Marie; Witczak, Oliwia; Hammer, Hugo Lewi; Borgli, Rune Johan; Halvorsen, Pål; Riegler, Michael (2019). VISEM: A Multimodal Video Dataset of Human Spermatozoa. Zink, Michael; Toni, Laura; Begen, AC (Red.). Proceedings of the 10th ACM Multimedia Systems Conference. Paper. s. 261-266. ACM Publications.
Kirkerød, Mathias; Borgli, Rune Johan; Thambawita, Vajira; Hicks, Steven; Riegler, Michael; Halvorsen, Pål (2019). Unsupervised Preprocessing to Improve Generalisation for Medical Image Classification. 6 s. International Symposium on Medical Information and Communication Technology.
Kashif, Ahmad; Pogorelov, Konstantin; Riegler, Michael; Nicola, Conci; Halvorsen, Pål (2019). Social media and satellites - Disaster event detection, linking and summarization. Multimedia tools and applications. Vol. 78.10.1007/s11042-018-5982-9.
Lux, Mathias; Riegler, Michael; Halvorsen, Pål; Dang-Nguyen, Duc-Tien; Potthast, Martin (2019). Challenges for Multimedia Research in E-Sports Using Counter-Strike Global Offensive as an Example. Elmenreich, Wilfried; Schallegger, Rene Reinhold (Red.). Savegame Agency, Design, Engineering. 978-3-658-27395-8. Springer.
Thambawita, Vajira; Hammer, Hugo Lewi; Riegler, Michael Alexander; Halvorsen, Pål (2019). GANEx: A complete pipeline of training, inference and benchmarking GAN experiments. Proceedings of Content Based Multimedia Information (CBMI 2019). Kapittel. IEEE conference proceedings.
Borgli, Rune Johan; Stensland, Håkon Kvale; Halvorsen, Pål; Riegler, Michael Alexander (2019). Saga: An Open Source Platform for Training Machine Learning Models and Community-driven Sharing of Techniques. Proceedings of Content Based Multimedia Information (CBMI 2019). Mangler. IEEE conference proceedings.
Markussen, Jonas Sæther; Kristiansen, Lars Bjørlykke; Borgli, Rune Johan; Stensland, Håkon Kvale; Seifert, Friedrich; Riegler, Michael Alexander; Griwodz, Carsten; Halvorsen, Pål (2019). Flexible device compositions and dynamic resource sharing in PCIe interconnected clusters using Device Lending. Cluster Computing. Vol. 22.
Frogner, Joakim Ihle; Noori, Farzan Majeed; Halvorsen, Pål; Hicks, Steven; Garcia-Ceja, Enrique; Tørresen, Jim; Riegler, Michael (2019). One-Dimensional Convolutional Neural Networks on Motor Activity Measurements in Detection of Depression. Boll, Susanne; Lee, Jeannie T; Meyer, Jochen; Nag, Nitish; O’Connor, Noel E. (Red.). HealthMedia '19: Proceedings of the 4th International Workshop on Multimedia for Personal Health & Health Care. 1. s. 9-15. Association for Computing Machinery (ACM).
Piras, Luca; Caputo, Barbara; Dang Nguyen, Duc Tien; Riegler, Michael Alexander; Halvorsen, Pål (2019). Image Retrieval Evaluation in Specific Domains. The Information Retrieval Series (IR). Vol. 41.En fullstendig liste over Halvorsens publikasjoner finnes på OsloMets ansattside  eller på hans hjemmeside hos Simula.


== Referanser ==


== Eksterne lenker ==
(en) Offisielt nettsted