Doctoral Candidate
Alireza Khanshan
Department / Institute
Group
Future Everyday
RESEARCH PROFILE
Alireza Khanshan is a PhD candidate in the Future Everyday group of the industrial design department at Eindhoven University of technology. He holds a bachelor’s degree in computer software engineering and a master’s degree in the same field with a data science minor. His expertise lies in software engineering and data mining. His current research focus is on the application of data mining and software engineering techniques in software systems involving human participants to enhance the experience of the users and the usability of the software.
Recent Publications
-
Catarina Dias de Oliveira,Lorenzo James,Alireza Khanshan,Pieter Van Gorp
Toward Enhancing Diabetes Self-Management with Personalization Through Human Digital Twins for Behavior Change
(2024) -
Cunliang Geng,Alireza Khanshan,Pieter van Gorp
GameBus on FHIR
(2024) -
Alireza Khanshan,Pieter Van Gorp,Panos Markopoulos
Evaluation of Code Generation for Simulating Participant Behavior in Experience Sampling Method by Iterative In-Context Learning of a Large Language Model
Proceedings of the ACM on Human-Computer Interaction (2024) -
Alireza Khanshan,Pieter Van Gorp,Panos Markopoulos
Interoperable Rule-based Alert Management for Patient Telemonitoring
(2024) -
Panos Markopoulos,Alireza Khanshan,Sven Bormans,Gabriella Tisza,Ling Kang,Pieter Van Gorp
Comparative Evaluation of Touch-Based Input Techniques for Experience Sampling on Smartwatches
(2023)
Ancillary Activities
No ancillary activities