Norwegian version
Evi Zouganeli

Evi Zouganeli

About

Broad perspective and Research and Development work within data analysis and modelling, technologies, and systems. Extensive experience from European collaborative Research – among others in photonic technologies, semiconductors, broadband networks, the Internet of Things, Machine Learning. Industrial experience, consulting work within technology strategy and roadmap, new business development, entrepreneurship, and patenting.

Current research focuses on the use of Machine Learning and Computer Vision in Intelligent Systems, and Cognitive Robotics for a range of applications, incl. assistive technologies, smart cities, smart industry.

Head of the Automation, Robotics, and Intelligent Systems (ARIS) research group at OsloMet.

Board member of NAIS - the Norwegian Artificial Intelligence Society. www.aisociety.no

Scientific publications

Rongved, Olav Andre Nergård; Stige, Markus; Hicks, Steven; Thambawita, Vajira L B; Midoglu, Cise; Zouganeli, Evi; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2021). Automated Event Detection and Classification in Soccer: The Potential of Using Multiple Modalities. Machine Learning and Knowledge Extraction . Vol. 4.

Rongved, Olav Andre Nergård; Hicks, Steven; Thambawita, Vajira L B; Stensland, Håkon Kvale; Zouganeli, Evi; Johansen, Dag; Riegler, Michael Alexander; Midoglu, Cise; Halvorsen, Pål (2021). Using 3D Convolutional Neural Networks for Real-time Detection of Soccer Events. International Journal of Semantic Computing (IJSC) .
https://hdl.handle.net/10037/24265

Lund, Anne; Holthe, Torhild; Halvorsrud, Liv Torill; Karterud, Dag; Johannessen, Adele Flakke; Lovett, Hilde; Thorstensen, Erik; Casagrande, Flavia Dias; Zouganeli, Evi; Norvoll, Reidun; Forsberg, Ellen-Marie (2021). Involving older adults in technology research and development discussions through dialogue cafés. 14 p. Research Involvement and Engagement . Vol. 26.

Rongved, Olav Andre Nergård; Hicks, Steven; Lasantha Bandara Thambawita, Vajira; Stensland, Håkon Kvale; Zouganeli, Evi; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (2020). Real-Time Detection of Events in Soccer Videos using 3D Convolutional Neural Networks. Bulterman, Dick; Kankanhalli, Mohan S.; Muehlhaeuser, Max; Persia, Fabio; Sheu, Phillip C.Y.; Tsai, Jeffrey J.P. (Ed.). Proceedings of the 2020 IEEE International Symposium on Multimedia (ISM). Multimedia in Sport. p. 135-144. IEEE.

Forsberg, Ellen-Marie; Thorstensen, Erik; Casagrande, Flavia Dias; Holthe, Torhild; Halvorsrud, Liv Torill; Lund, Anne; Zouganeli, Evi (2020). Is RRI a new R&I logic? A reflection from an integrated RRI project. 33 p. Journal of Responsible Technology .
https://doi.org/10.1016/j.jrt.2020.100007

Mello, Gustavo; Pontes-Filho, Sidney; Sandvig, Ioanna; Valderhaug, Vibeke Devold; Zouganeli, Evi; Huse Ramstad, Ola; Sandvig, Axel; Nichele, Stefano (2020). Method to Obtain Neuromorphic Reservoir Networks from Images of in Vitro Cortical Networks. Huang, Tingwen (Ed.). Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI2019). Chapter: Neuromorphic Cognitive Computing (SNCC). p. 2360-2366. IEEE.
http://hdl.handle.net/11250/2644970

Casagrande, Flavia Dias; Tørresen, Jim; Zouganeli, Evi (2019). Comparison of Probabilistic Models and Neural Networks on Prediction of Home Sensor Events. Jayne, Chrisina; Somogyvári, Zoltán (Ed.). 2019 International Joint Conference on Neural Networks (IJCNN). konferanseartikkel. IEEE.
http://hdl.handle.net/10852/73665

Casagrande, Flavia Dias; Zouganeli, Evi (2019). Activity Recognition and Prediction in Real Homes. Communications in Computer and Information Science . Vol. 1056 CCIS.

Casagrande, Flavia Dias; Tørresen, Jim; Zouganeli, Evi (2019). Sensor Event Prediction using Recurrent Neural Network in Smart Homes for Older Adults. 9th International Conference on Intelligent Systems (IS’18). kapittel. p. 662-668. IEEE. 10.1109/IS.2018.8710467

Casagrande, Flavia Dias; Nedrejord, Oda Olsen; Lee, Wonho; Zouganeli, Evi (2019). Action Recognition in Real Homes using Low Resolution Depth Video Data. IEEE International Symposium on Computer-Based Medical Systems .





These publications are obtained from Cristin. The list may be incomplete