Vagan Terziyan




Professor in Distributed Systems, Dr. (Habil.) Tech. (Faculty of Information Technology, University of Jyväskylä),



Head of Collective Intelligence research group (former Industrial Ontologies Group)


Head of Artificial Intelligence (International Master Program),     


Head of COIN: Cognitive Computing and Collective Intelligence (International Master Program),     


Former head of WISE: Web Intelligence and Service Engineering (International Master Program),

Former vice-head of MoTeBu: Mobile Technologies for Business (International Master Program),


MC member in ICT COST Action IC1302    (KEYSTONE: Semantic Keyword-based Search on Structured Data Sources),

MC member in CA COST Action CA16116  (WearableRobots: Wearable Robots for Augmentation, Assistance or Substitution of Human Motor Functions),     



Visiting Professor of AI Department, Kharkiv National University of Radio Electronics





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  CV           Publications           Projects            Research Group IOG          Research Group CI           Lectured Courses   



  60th Anniversary lecture: “COIN: Bridging Human and Machine Learning for the Needs of Collective Intelligence Development”.



  International Master Program: Artificial Intelligence” (welcome to apply!).


  International Master Program: COIN: Cognitive Computing and Collective Intelligence (is finishing),     


  International Master Program: WISE: “Web Intelligence and Service Engineering”  (has finished);


  International Master Program: MoTeBu: “Mobile Technologies and Business” (has finished);



  Vision on the Mission of University Education in General and the eEducation in particular;

  Educational Policy, Quality Assurance and its IT Support (TRUST: Semantic Portal for Quality Assurance) related interests;      Inauguration Lecture (Full Professor);


   Video Interview with Vagan Terziyan          Article about Vagan Terziyan in “Helsingin Sanomat” (20.09.2003)  


  Profile of Vagan Terziyan in Google Scholar Citations


  Vagan Terziyan Academic Genealogy



Vagan Terziyan at public academic portals:























Read some interesting latest articles from Vagan Terziyan:


Terziyan, V., Malyk, D., Golovianko, M., & Branytskyi, V. (2022). Hyper-Flexible Convolutional Neural Networks Based on Generalized Lehmer and Power Means. Neural Networks, 155, 177-203. Elsevier.


Golovianko, M., Gryshko, S., Terziyan, V., & Tuunanen, T. (2022). Responsible Cognitive Digital Clones as Decision Makers: A Design Science Research Study. European Journal of Information Systems.


Terziyan, V., & Kaikova, O. (2021). Neural Networks with Disabilities: An Introduction to Complementary Artificial Intelligence. Neural Computation, 34(1), 255-290. MIT Press Direct.


Branytskyi, V., Golovianko, M., Gryshko, S., Malyk, D., Terziyan, V., & Tuunanen, T. (2022). Digital Clones and Digital Immunity: Adversarial Training Handles Both. International Journal of Simulation and Process Modelling, 18(2), 124-139. Inderscience Publishers.


Terziyan, V. (2017). Social Distance Metric: From Coordinates to Neighborhoods, International Journal of Geographical Information Science, 31 (12), 2401-2426. Taylor & Francis. . (Find Brief Description of the Social Distance Metric here.)


Read also our pre-publication draft, where we explore the potential of the “Ignorance Learning”, i.e., discovering the voids within the data spaces and using them to improve the classification performance: Terziyan, V., and Nikulin, A. (2019). Ignorance-Aware Approaches and Algorithms for Prototype Selection in Machine Learning, arXiv: 1905.06054. Published later as: Terziyan, V., & Nikulin, A. (2021). Semantics of Voids within Data: Ignorance-Aware Machine Learning. ISPRS International Journal of Geo-Information, 10(4), 246.






Some hobbies of Vagan Terziyan: