SPILIOTOPOULOS DIMITRIOS
ASSISTANT PROFESSOR
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
Ε-mail: dspiliot (at) uop (dot) gr
Website: https://bison.uop.gr
Short CVDimitris Spiliotopoulos is an Assistant Professor at the Department of Management Science and Technology, University of the Peloponnese, Greece. He has a PhD in Human-Computer Interaction (University of Athens), an MPhil in Management Information Systems, an MA in Linguistics, and a BSc in Computation (UMIST). His research interests include HCI, data analysis, UX, recommender systems, design thinking, and interaction design. He has been involved in research projects in cybersecurity, intelligent communication, human factor design, and data analysis for more than 10 years. He has more than 100 publications in peer-review international journals and conference proceedings.
Scientific Interest: HCI, data analysis, UX, recommender systems, design thinking, and interaction design, intelligent communication, human factor design, and business intelligence