CV
Academic Positions
Nova School of Business and Economics
- Assistant Professor of Business Analytics (tenure-track), 2020–Present
- Affiliated Researcher, Data, Operation & Technology Knowledge Center, 2019–Present
- Visiting Assistant Professor, 2018–2020
Data Science for Social Good Europe (with University of Chicago)
- Technical Mentor, 2017–2018
Carnegie Mellon University, Department of Engineering and Public Policy
- Research and Teaching Assistant, 2010–2017
Education
- Ph.D. Engineering and Public Policy, Carnegie Mellon University, 2017
- M.S. Engineering and Public Policy, Carnegie Mellon University, 2013
- M.S. Information Networking, Carnegie Mellon University, 2009
Publications
Regina de Brito Duarte, Qiwei Han, Claudia Soares (2026). Dissecting Medical Referrals in Health Services: Role of Physician Professional Networks. BMC Health Services Research, Accepted.
Ekaterina Gonchar, Sebastian Diaz, Benjamin Schmidt, Priyanshu Yadav, Qiwei Han (2025). Quantifying Founder-Market Fit: A Machine Learning Approach to Startup Success Prediction. HICSS, Maui HI, January 2026.
Lotte Gross, Rebecca Walter, Nicole Zoppi, Adrien Justus, Alessandro Gambetti, Qiwei Han, Maximilian Kaiser (2025). Cross-Platform E-Commerce Product Categorization and Recategorization. IEEE International Conference on Big Data (BigData), Macau, China.
Qi Shi, Qiwei Han, Claudia Soares (2025). C-PATH: Conversational Patient Assistance and Triage in Healthcare System. IEEE International Conference on Digital Health (ICDH), Helsinki, Finland.
Wen Bo, Chen Wang, Qiwei Han, Raquel Norel, Julia Liu, Thaddeus Stappenbeck, Jeffrey L. Rogers (2025). Voice-based AI Agents: Filling the Economic Gaps in Digital Health Delivery. IEEE International Conference on Digital Health (ICDH), Helsinki, Finland.
Cong Tang, Patrícia Corredeira, Sandra Casimiro, Qi Shi, Qiwei Han, et al. (2025). Immunodiagnostic plasma amino acid residue biomarkers detect cancer early and predict treatment response. Nature Communications, 16:6474.
Qiwei Han (2025). Personalized Pricing in the Age of Big Data: A Technical Perspective. The Cambridge Handbook of Algorithmic Price Personalization and the Law, Chapter 4.
Luca Silvano Carocci, Qiwei Han (2024). Optimizing Luxury Vehicle Dealership Networks: A Graph Neural Network Approach to Site Selection. IEEE International Conference on Big Data (BigData), Washington DC.
Fynn Oldenburg, Qiwei Han, Maximilian Kaiser (2024). Interpretable Deep Learning for Forecasting Online Advertising Costs. 11th IEEE International Conference on Data Science and Advanced Analytics (DSAA), San Diego CA.
Miguel Rocha, Victor Høgheim, Miguel Almeida, Alex Theilmann, José Silva, Alessandro Gambetti, Qiwei Han, Maximilian Kaiser (2024). Optimizing Product Matching in E-commerce. 5th International Conference on Advances in Digital Marketing and eCommerce, Barcelona, Spain.
Alessandro Gambetti and Qiwei Han (2024). AiGen-FoodReview: A Multimodal Dataset of Machine-Generated Restaurant Reviews and Images on Social Media. 18th International AAAI Conference on Web and Social Media (ICWSM), Buffalo NY.
Margarida Abreu Novais, Bruno del Papa, Qiwei Han, Mohan Kaushik, Orsola Vasarhelyi, Yanbing Wang, Leid Zejnilovic (2024). Investigating Patterns of Tourist Spatiotemporal Behaviour using Multiple Data Sources. Journal of Vacation Marketing.
Alessandro Gambetti and Qiwei Han (2023). Dissecting AI-Generated Fake Reviews: Detection and Analysis of GPT-Based Restaurant Reviews on Social Media. International Conference on Information Systems (ICIS), Hyderabad, India.
Qiwei Han, Carolina Lucas, Emila Aguiar, Patrícia Macedo, Zhen Ze Wu (2023). Towards Privacy-Preserving Digital Marketing. Electronic Commerce Research, 23:1701–1730.
Alessandro Gambetti and Qiwei Han (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 and Qiwei Han (2022). Understanding Heterogeneity of Investor Sentiment on Social Media: A Structural Topic Modeling Approach. Frontiers in Artificial Intelligence, 5:884699.
Max Würfel, Qiwei Han, Maximilian Kaiser (2021). Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach. IEEE International Conference on Big Data (BigData), Virtual.
Qiwei Han, Leid Zejnilović, Margarida Abreu Novais (2021). Toward travel pattern aware tourism region planning: A big data approach. International Journal of Contemporary Hospitality Management, 33(6):2157-2175.
Joel Peito, Qiwei Han (2020). Incorporating Domain Knowledge into Health Recommender Systems using Hyperbolic Embeddings. 9th International Conference on Complex Networks and their Applications, Virtual.
Qiwei Han, Mengxin Ji, Inigo Troya, Manas Gaur, Leid Zejnilović (2018). A Hybrid Recommender System for Patient-Doctor Matchmaking in Primary Care. 5th IEEE International Conference on Data Science and Advanced Analytics (DSAA), Turin, Italy.
Qiwei Han, Inigo Troya, Mengxin Ji, Manas Gaur, Leid Zejnilović (2018). A collaborative filtering recommender system in primary care. 6th IEEE International Conference on Healthcare Informatics (ICHI), New York NY.
Qiwei Han, Daegon Cho (2016). Characterizing the Technological Evolution of Smartphones: Insights from Performance Benchmarks. 18th International Conference on Electronic Commerce (ICEC), Suwon, Korea.
Qiwei Han (2016). Social Influence Analysis using Mobile Phone Dataset. 17th IEEE International Conference on Mobile Data Management (MDM), Porto, Portugal.
Qiwei Han, Pedro Ferreira, João Paulo Costeira (2015). Asymmetric Peer Influence in Smartphone Adoption in A Large Mobile Network. 14th International Conference on Mobile Business (ICMB), Fort Worth TX.
Qiwei Han, Pedro Ferreira (2014). Role of Peer Influence in Churn in Wireless Networks. 7th International Conference on Social Computing (SocialCom), Beijing, China.
Talks
December 01, 2025
Conference Presentation at 35th Workshop on Information Technologies and Systems (WITS), Nashville, TN
June 03, 2025
Conference Presentation at 21st Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), Paphos, Cyprus
June 02, 2025
Conference Presentation at 21st Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), Paphos, Cyprus
June 01, 2025
Conference Presentation at 21st Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), Paphos, Cyprus
December 01, 2024
Conference Presentation at Workshop on E-Business (WeB) 2024, Bangkok, Thailand
August 01, 2023
Conference Presentation at 2023 Annual Meeting of Academy of Management (AoM), Boston, MA
July 01, 2023
Conference Presentation at 9th International Conference for Computational Social Science (IC2S2), Copenhagen, Denmark
February 01, 2023
Conference Presentation at AAAI 2023 AI for Web Advertising Workshop, Washington, DC
July 01, 2022
Conference Presentation at 8th International Conference for Computational Social Science (IC2S2), Chicago, IL
June 01, 2022
Conference Presentation at 18th Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), Madrid, Spain
June 03, 2021
Conference Presentation at 17th Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), Virtual
June 02, 2021
Conference Presentation at 22nd International Conference on Electronic Commerce (ICEC), Virtual
June 01, 2021
Conference Presentation at ACM Collective Intelligence Conference (CI), Copenhagen, Denmark
December 01, 2020
Conference Presentation at 9th International Conference on Complex Networks and their Applications, Virtual
June 01, 2020
Conference Presentation at 16th Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), Virtual
June 01, 2018
Conference Presentation at 14th Symposium on Statistical Challenges in Electronic Commerce Research (SCECR), Rotterdam, Netherlands
June 01, 2017
Conference Presentation at International Conference on Data for Policy, London, UK
November 01, 2016
Conference Presentation at INFORMS Annual Meeting, Nashville, TN
October 01, 2016
Conference Presentation at Conference on Digital Experimentation (CODE), MIT Sloan School of Management, Cambridge, MA
August 01, 2016
Conference Presentation at 18th International Conference on Electronic Commerce (ICEC), Suwon, Korea
June 01, 2016
Conference Presentation at 17th IEEE International Conference on Mobile Data Management (MDM), Porto, Portugal
April 01, 2015
Conference Presentation at 4th Conference on the Analysis of Mobile Phone Datasets (NetMob), MIT Media Lab, Cambridge, MA
August 01, 2014
Conference Presentation at 7th International Conference on Social Computing (SocialCom), Beijing, China
April 01, 2013
Conference Presentation at 3rd Conference on the Analysis of Mobile Phone Datasets (NetMob), MIT Media Lab, Cambridge, MA
Teaching
Honors & Awards
- Oracle for Research Grant ($50k OCI credits), 2023
- CMU Portugal Exploratory Research Project ($40k), 2022
- Best Paper Award Runner-up, 22nd International Conference on Electronic Commerce, 2021
- Summer Institute for Computational Social Science Fund ($6k), 2021–2022
- ICIS Junior Faculty Consortium, 2020
- Summer Institute for Computational Social Science, Duke University, 2020
- Data Science for Social Good Europe Fellowship, 2017–2018
- NSF Graduate Student Travel Grant, 2016
- CMU–Portugal Program Ph.D. Fellowship, 2010–2015
- CMU Provost’s Office Graduate Student Travel Grant, 2015
- Best Paper Award, 7th International Conference on Social Computing, 2014
- CMU Full Tuition Scholarship for Master’s Degree, 2007–2009
Service
Editorial & Reviewing
Referee for: MIS Quarterly, INFORMS Journal on Computing, Decision Support Systems, International Journal of Information Management, Expert Systems with Applications, Electronic Commerce Research and Applications, Electronic Commerce Research, Frontiers in Psychology, Journal of Big Data, International Journal of Hospitality Management, International Journal of Contemporary Hospitality Management, Socio-Economic Planning Sciences, Telematics and Informatics, ACM Hypertext (2023), IJCAI (2025–2026), ECML-PKDD (2025–2026), DSAA (2022–2024), ICWSM (2021–2024), ECIS (2021), AoM (2015–2024), ICIS (2017–2024).
University & Department Service
- Co-organizer, Summer Institute of Computational Social Science Lisbon (SICSS-Lisbon), 2021–2022
- Faculty Recruiting Committee, Nova SBE, 2020
- Research Grant Committee, Nova SBE, 2019
Invited Seminars
- 2024: SUNY Buffalo, Beihang University
- 2022: Southwestern University of Finance and Economics
- 2020: AI4EU Web Café
- 2019: Instituto Superior Técnico
- 2018: Porto Business School
- 2017: Accenture Tech Labs
Industry Partners
Jerónimo Martins, José de Mello Saúde, Modatta, Grips Intelligence, OutSystems, Vodafone
Ph.D. Students
- Anastasiia Smirnova, Ph.D. in Management, 2024–
- Alessandro Gambetti, Ph.D. in Computer Science (co-advisor with Claudia Soares, NOVA FCT and Hong Shen, CMU), 2023–
- Marc Pocsay, Ph.D. in Management, 2023–
- Bernardo Forbes Costa, Ph.D. in Economics (co-advisor with Carlos Daniel Santos, ISEG), 2019–2024