معرفی
Hadi Fanaee Tork is an Associate Professor (Docent) in Machine Learning and Program Director for the Applied AI bachelor program at Halmstad University's School of Information Technology, Sweden. He earned his PhD in Computer Science with distinction from the University of Porto, Portugal in 2015, followed by postdoctoral positions at the University of Oslo (2017-2020) and INESC TEC research institute in Portugal.
His primary research interests include machine learning, tensor decompositions, anomaly detection, and time series analysis. His work spans theoretical foundations to practical applications in healthcare, transportation, environmental monitoring, and industrial systems. He has developed novel methods for tensor-based event detection, multi-aspect data analysis, and space-time clustering, with applications ranging from disease outbreak detection to energy efficiency in maritime transport.
His recent publication trend shows a strong focus on tensor analysis applications across multiple domains, with increasing emphasis on practical implementations in transportation efficiency and healthcare analytics. His work bridges theoretical machine learning with real-world problem solving, particularly through tensor decomposition techniques applied to complex, high-dimensional data streams.
- ERCIM Cor Baayen Young Researcher Award Finalist (2017)
- Publons Top Reviewer Award (2017)
- PhD Scholarship, MAP-i doctoral program (2011)
- Best PHP Class Award (2012)
Professor Fanaee Tork has advised numerous PhD and Master's students across multiple institutions including Halmstad University, University of Oslo, and international collaborations with institutions in Iran, Portugal, and Germany. His research has been supported through European FP7 Project "MAESTRA" and various academic collaborations. He maintains active research groups focused on tensor analysis and natural learning approaches, with strong industry connections particularly in maritime technology and healthcare analytics.
