Scholar
Qiwei Han
Google Scholar ID: koBWI88AAAAJ
Nova School of Business and Economics
Citations & Impact
Citations
317
H-index
9
i10-index
9
Publications
20
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- 2025-10: The paper 'Cross-Platform E-Commerce Product Categorization and Recategorization: A Multimodal Hierarchical Classification Approach' is accepted at IEEE International Conference on Big Data (BigData).
- 2025-08: The paper 'Quantifying Founder-Market Fit: A Machine Learning Approach to Startup Success Prediction' is accepted at 59th annual Hawaii International Conference on System Sciences (HICSS).
- 2025-05: The paper 'C-PATH: Conversational Patient Assistance and Triage in Healthcare System' with Qi Shi and Claudia Soares is accepted at IEEE International Conference on Digital Health (ICDH).
- 2025-04: Three paper presentations on multilingual gap in LLM-based news recommender system, role of image-text content congruence on review inconsistency, and impact of Chatgpt on user search behavior are accepted at Symposium on Statistical Challenges in Electronic Commerce Research (SCECR 2025).
- 2024-10: The paper 'Optimizing Luxury Vehicle Dealership Networks: A Graph Neural Network Approach to Site Selection' with Luca Silvano Carocci is accepted at IEEE International Conference on Big Data (BigData 2024).
- 2024-07: The paper 'Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape' with Fynn Oldenburg and Maximilian Kaiser is accepted at 11th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2024).
- 2024-06: Bernardo Forbes Costa successfully defended his dissertation in Ph.D. in Economics!
- 2024-03: The paper 'AiGen-FoodReview: A Multimodal Dataset of Machine-Generated Restaurant Reviews and Images on Social Media' with Alessandro Gambetti is accepted at 18th International AAAI Conference on Web and Social Media (ICWSM) Dataset Track.
- 2024-01: The paper 'Optimizing Product Matching in E-commerce: A Strategic Perspective on Precision-Recall Trade-off' with Miguel Rocha, Victor Høgheim, Miguel Almeida, Alex Theilmann, José Silva, Alessandro Gambetti, and Maximilian Kaiser is accepted at 5th Digital Marketing & eCommerce Conference.
- 2023-07: The paper 'Dissecting ΑΙ-Generated Fake Reviews: Detection and Αnalysis of GΡΤ-Βased Restaurant Reviews on Social Μedia' with Alessandro Gambetti is accepted at International Conference on Information Systems (ICIS).
- 2023-05: The paper 'Towards Privacy-Preserving Digital Marketing: An Integrated Framework for User Modeling using Deep Learning on a Data Monetization Platform' with Carolina Lucas, Emila Aguiar, Patrícia Macedo, and Zhen Ze Wu is accepted at Electronic Commerce Research.
- 2023-04: The paper 'AI Crowdturfing on Yelp: Identifying Patterns in Machine-Generated Fake Reviews' with Alessandro Gambetti is accepted at The International Conference for Computational Social Science (IC2S2).
- 2023-03: The paper 'Estimating Global Bilateral Music Flows in the Streaming Age: The Role of Distance Measures' with Sunniva Hermann is accepted at 2023 Annual Meeting of Academy of Management (AoM).
- 2023-02: Published the updated Nova SBE Data Science Knowledge Center report 'Impact of Covid-19 on Tourism and Hospitality: Evidence from Airbnb' and received 10+ Portuguese press coverage, such as Circuito Mundo, Dinheiro Vivo, Folha Nacional, Notícias ao Minuto, Opcao turismo, Publituris, Revista Business Portugal, Sapo, TNews, Vida Economica, and more.
- 2023-01: Concluded 19 master theses.
Research Experience
- Currently an Assistant Professor of Data Science and Business Analytics at Nova School of Business and Economics. Previously, he received his Ph.D. and M.S. from Carnegie Mellon University.
Education
- Ph.D. in Engineering and Public Policy from Carnegie Mellon University; M.S. in Information Networking from Carnegie Mellon University.
Background
- Research interests: at the intersection of econometrics and machine learning, using complex data-driven approaches in areas including applied data science for social good (such as healthcare, education, tourism), consumer behavior in both online and offline channels, and ICT management and policy.
Miscellany
- Mentioned having a lovely wife on his personal website.
