Shahrooz Abghari

Shahrooz Abghari

Lecturer

shahrooz.abghari@bth.se

Department of Computer Science, Room J3126

+46 (0) 455-385875

shahrooz-abghari-homepage

Dr. Shahrooz Abghari is a lecturer in the Computer Science Department at Blekinge Institute of Technology (BTH), where he pursued his Ph.D. His main research interests and activities revolve around outlier (anomaly) detection. Shahrooz mainly works with the industry on different application domain problems and challenges. Regarding research experience, he primarily focuses on data analysis, unsupervised machine learning and data mining techniques, and time series analysis. Shahrooz did his Ph.D. under BigData@BTH, a six-year research project (2014-2020) founded by the Knowledge Foundation, BTH, and eight company partners. He was a research team member in Distributed and Adaptive Edge-based AI Models for Sensor Networks project in collaboration with SONY R&D Lund Center  (2021-2022). Shahrooz is currently a research team member in HINTS – Human-Centered Intelligent Realities, a six-year (2022-2028) BTH research project co-funded by the Knowledge Foundation Research Profiles program.

Projects & Publications

Recent publications
Veronica Sundstedt, Veselka Boeva, Hans-Juergen Zepernick, Prashant Goswami, Abbas Cheddad, Kurt Tutschku, Håkan Grahn, Emiliano Casalicchio, Markus Fiedler, Emilia Mendes, Shahrooz Abghari, Yan Hu, Valeria Garro, Thi My Chinh Chu, Lars Lundberg, Patrik Arlos, "HINTS", Linköping Electronic Conference Proceedings, ISSN 1650-3686, EISSN 1650-3740, EISSN 199, 35th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2023, Linköping University Electronic Press, 2023
Jonne van Dreven, Veselka Boeva, Shahrooz Abghari, Håkan Grahn, Jad Al Koussa, Emilia Motoasca, "Intelligent Approaches to Fault Detection and Diagnosis in District Heating", Electronics, EISSN 2079-9292, Vol. 12, nr 6, MDPI, 2023
Shahrooz Abghari, Veselka Boeva, Emiliano Casalicchio, Peter Exner, "An Inductive System Monitoring Approach for GNSS Activation", IFIP Advances in Information and Communication Technology, ISSN 1868-4238, EISSN 1868422X, EISSN 647, IFIP Advances in Information and Communication Technology, Springer Science+Business Media B.V., 2022
Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari, "Domain Adaptation Through Cluster Integration and Correlation", IEEE International Conference on Data Mining Workshops, ICDMW, ISSN 2375-9232, EISSN 2375-9259, EISSN 2022, IEEE International Conference on Data Mining Workshops, ICDMW, IEEE Computer Society, 2022
Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari, "A Multi-view Clustering Approach for Analysis of Streaming Data", IFIP Advances in Information and Communication Technology, ISSN 18684238, EISSN 627, IFIP Advances in Information and Communication Technology, Springer Science and Business Media Deutschland GmbH, 2021
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