Qiwei Han is Assistant Professor of Data Science and Business Analytics at Nova SBE. He is affiliated faculty with the Data Science Knowledge Center. He worked as Technical Mentor for Data Science for Social Good Europe program and taught core data science courses. His research appeared in data science and information systems conferences and received the Best Paper Award from International Conference on Social Computing.

Ph.D. Engineering and Public Policy, Carnegie Mellon University

Ph.D. Institute for Systems and Robotics (with distinction) Instituto Superior Técnico

M.S.  Engineering and Public Policy, Carnegie Mellon University

M.S. Information Networking, Carnegie Mellon University

B.S. in Computer & Software Engineering, Beihang University, Beijing

Management Information Systems, Business Analytics, Applied Data Science 

• Abreu Novais, Margarida, Del Papa, Bruno, Han, Qiwei, Mohan, Kaushik, Vásárhelyi, Orsolya, Wang, Yanbing, Zejnilovic, Leid (2025). Investigating patterns of tourist movement using multiple data sources. (Accepted/In press) Journal of Vacation Marketing.
• Han, Qiwei, Lucas, Carolina, Aguiar, Emila, Macedo, Patrícia, Wu, Zhenze (2023). Towards privacy-preserving digital marketing: An integrated framework for user modeling using deep learning on a data monetization platform. Electronic Commerce Research, 23, 1701–1730.
• Gambetti, Alessandro, Han, Qiwei (2022). Camera eats first: Exploring food aesthetics portrayed on social media using deep learning. International Journal of Contemporary Hospitality Management, 34 (9), 3300-3331.
• Rongjiao Ji, , Han, Qiwei (2022). Understanding heterogeneity of investor sentiment on social media: A structural topic modeling approach. Frontiers in Artificial Intelligence, 5.
• Han, Qiwei, Abreu Novais, Margarida, Zejnilovic, Leid (2021). Toward travel pattern aware tourism region planning: a big data approach. International Journal of Contemporary Hospitality Management, 33 (6), 2157-2175.

• Han, Qiwei (2025). Personalized pricing in the age of Big Data: A technical perspective. The Cambridge Handbook of Algorithmic Price Personalization and the Law. Esposito, Fabrizio, Grochowski, Mateusz (Eds.), Cambridge University Press, 88-99.
• Lucas, Carolina, Aguiar, Emila, Macedo, Patrícia, Wu, Zhenze, Han, Qiwei (2022). Privacy-preserving user modeling for digital marketing campaigns: The case of a data monetization platform. Advances in Digital Marketing and eCommerce. Martínez-López, Francisco J., Martinez, Luis F. (Eds.), Springer, Cham, 171-179.

• Pocsay, Marc Enrico, Han, Qiwei, Kaiser, Maximilian (Apr 2024), Shopping missions in online grocery shopping.