Prof. Sidharta GAUTAMA

Visiting Professor                                                    Senior member

Prof. Sidharta GAUTAMA

Sidharta Gautama received the Diploma degree in electrical engineering in 1994 and the Ph.D. degree in applied sciences in 2002, both from Ghent University, Belgium. He works at Ghent University, first as research assistant and postdoc, since 2009 as assistant professor in computer vision (TELIN), since 2018 as full professor in cyberphysical systems (ISyE). From 1998 to 2000, he was a visiting scientist at the Laboratory for Analysis and Architecture of Systems (LAAS) at CNRS, Toulouse, France. Between 2007 and 2018, he headed the innovation center i-KNOW at Ghent University, which incubates the licensing and spin off activity of the research in intelligent information processing. During this period, i-KNOW has incorporated eight companies active in the domains of smart cities, environment, future factories, smart home. With i-KNOW, he coordinated the valorization process for over 300 researchers through opportunity spotting, patent protection, technology incubation, business modelling, licensing and spin off creation. He is currently the co-chair “Innovation and Entrepreneurship” in the Urban Mobility Master School of the European Institute for Innovation and Technology (EIT). He holds four international patents and is author of 200+ papers.

Sidharta Gautama is professor leading research in Intelligent Systems Engineering in the department of Industrial Systems Engineering in the Faculty of Engineering and Architecture at UGent. The research group counts ten PhD students and postdoctoral researchers that perform research on intelligent systems for smart and resilient societies and Industry4.0. They develop robust processing chains for processing and fusion of data sources and combine research in data science, spatiotemporal processing and knowledge engineering. Innovative decision support is developed to help to address the increasing complexity of industrial management and urban policy-making. It uses data-driven approaches in order to support human decision making in a system-of-systems appraoch. The research group is core member of Flanders Make, They actively participate in national and EU projects and have served as backbone in national and international government campaigns.

Research Interests:

  • Intelligent systems engineering
  • Data fusion and spatiotemporal processing
  • Data-driven decision support
  • Smart cities and Industry 4.0

Google Scholar:

https://scholar.google.com/citations?user=WsYguA8AAAAJ&hl=vi&oi=ao

Profile:

https://biblio.ugent.be/person/801000964296