Jawad Haqbeen is an assistant professor in the Department of Social Informatics at the Graduate School of Informatics, Kyoto University, Japan. He earned his B.S. in 2010, M.S. in 2013 and his Ph.D. in 2022— all in Computer Science — from Nangarhar University, Waseda University and the Nagoya Institute of Technology, respectively. In 2025,  he held a visiting scholar position at Carleton University, Canada. His research focuses on designing tools to support social interactions, studying Human-AI interaction, exploring collective intelligence, and utilizing conversational AI in civic technologies. Dr. Haqbeen has authored over 30 articles in conferences and journals. He has received numerous awards for his work, including the Best Paper Award at IEEE/ACIS BCD-24, the Excellent Paper Award at KICSS-23, the Excellence Paper Award at JSAI-23, the Best Presentation Award at KICSS-21, the IBM Award for Scientific Excellence at PAAMS-20, the Best Paper Award at KICSS-20, and the IEEE Nagoya section Best Research Presentation Award in 2018. He is currently the principal investigator (PI) of Japan Society for the Promotion of Science (JSPS) Project No.23K17164 (2023-2026), Co-PI of JSPS Project No. 25K15828 (2025-2028),  a participant member of JST Core Research for Evolutionary Science and Technology (CREST: 2020-2026) Project No. JPMJCR20D1, and a participant member of JST-NRC (Japan-Canada) jointly funded SICORP (2023- 2027) project. 

Sahab, S., Haqbeen, J., Sapkota, D., & Ito, T. (2025). GPT chatbots for alleviating anxiety and depression: A pilot randomized controlled trial with Afghan women. arXiv (arXiv:2508.00847)

Haqbeen, J., Sahab, S., & Ito, T. (2025). Assessment of the LLM-based chatbots on student engagement and learning outcomes in Afghanistan. In Proceedings of the 26th International Conference on Digital Government Research (dg.o 2025)

Sahab, S., Haqbeen, J., Hadfi, R. et al. (2024). E-contact facilitated by conversational agents reduces interethnic prejudice and anxiety in Afghanistan. Communications Psychology, 2, 22.

Sahab, S., Haqbeen, J., & Ito, T. (2024). Conversational AI as a facilitator improves participant engagement and problem-solving in online discussion: Evidence from five cities in Afghanistan. IEICE Transactions on Information and Systems, E107-D(4, pp.434-442.

Hadfi, R., Okuhara, S., Haqbeen, J. et al. (2023). Conversational agents enhance women’s contribution in online debates. Scientific Reports, 13, 14534.

Haqbeen, J., Sahab, S., Ito, T., & Rizzi, P. (2021). Using a decision support system to enable crowds to identify neighborhood issues and solutions for policymakers: An online experiment at the Kabul municipal level. Sustainability. 13(10): 5453.

· Ph.D. in Computer Science, 2022, Nagoya Institute of Technology, Nagoya, Japan

· Master in Computer Sceince, 2013, Waseda University, Tokyo, Japan

· Bachelor in Computer Sceince, 2010, Nangarhar University, Jalalabad, Afghanistan