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Posts
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portfolio
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publications
Role of Peer Influence in Churn in Wireless Networks
Published in 7th International Conference on Social Computing (SocialCom), 2014
Best Paper Award (Acceptance rate: 16.7%). Examines peer influence effects on subscriber churn behavior in wireless networks.
Recommended citation: Qiwei Han, Pedro Ferreira (2014). Role of Peer Influence in Churn in Wireless Networks. 7th International Conference on Social Computing (SocialCom), Beijing, China.
Asymmetric Peer Influence in Smartphone Adoption in A Large Mobile Network
Published in 14th International Conference on Mobile Business (ICMB), 2015
Studies asymmetric peer influence mechanisms in smartphone adoption using large-scale mobile network data.
Recommended citation: 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.
Social Influence Analysis using Mobile Phone Dataset
Published in 17th IEEE International Conference on Mobile Data Management (MDM), 2016
Analyzes social influence patterns using large-scale mobile phone datasets.
Recommended citation: Qiwei Han (2016). Social Influence Analysis using Mobile Phone Dataset. 17th IEEE International Conference on Mobile Data Management (MDM), Porto, Portugal.
Characterizing the Technological Evolution of Smartphones: Insights from Performance Benchmarks
Published in 18th International Conference on Electronic Commerce (ICEC), 2016
Characterizes the technological evolution of smartphones using performance benchmark data.
Recommended citation: Qiwei Han, Daegon Cho (2016). Characterizing the Technological Evolution of Smartphones: Insights from Performance Benchmarks. 18th International Conference on Electronic Commerce (ICEC), Suwon, Korea.
A collaborative filtering recommender system in primary care: Towards a trusting patient-doctor relationship
Published in 6th IEEE International Conference on Healthcare Informatics (ICHI), 2018
Develops a collaborative filtering recommender system for patient-doctor matchmaking in primary care.
Recommended citation: 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.
A Hybrid Recommender System for Patient-Doctor Matchmaking in Primary Care
Published in 5th IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2018
Proposes a hybrid recommender system combining collaborative filtering and content-based methods for patient-doctor matching.
Recommended citation: 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.
Incorporating Domain Knowledge into Health Recommender Systems using Hyperbolic Embeddings
Published in 9th International Conference on Complex Networks and their Applications, 2020
Incorporates medical domain knowledge into health recommender systems using hyperbolic embedding representations.
Recommended citation: 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.
Toward travel pattern aware tourism region planning: A big data approach
Published in International Journal of Contemporary Hospitality Management, 2021
Uses big data approaches to analyze travel patterns for tourism region planning.
Recommended citation: 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.
Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach
Published in IEEE International Conference on Big Data (BigData), 2021
Develops an interpretable deep learning model for forecasting online advertising revenue.
Recommended citation: Max Würfel, Qiwei Han, Maximilian Kaiser (2021). Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach. IEEE International Conference on Big Data (BigData), Virtual.
Understanding Heterogeneity of Investor Sentiment on Social Media: A Structural Topic Modeling Approach
Published in Frontiers in Artificial Intelligence, 2022
Applies structural topic modeling to understand heterogeneous investor sentiment expressed on social media platforms.
Recommended citation: 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.
Camera Eats First: Exploring Food Aesthetics Portrayed on Social Media using Deep Learning
Published in International Journal of Contemporary Hospitality Management, 2022
Applies deep learning to analyze food aesthetics in social media images and their hospitality implications.
Recommended citation: 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.
Towards Privacy-Preserving Digital Marketing: An Integrated Framework for User Modeling using Deep Learning on a Data Monetization Platform
Published in Electronic Commerce Research, 2023
Proposes a privacy-preserving deep learning framework for user modeling in digital marketing.
Recommended citation: Qiwei Han, Carolina Lucas, Emila Aguiar, Patrícia Macedo, Zhen Ze Wu (2023). Towards Privacy-Preserving Digital Marketing. Electronic Commerce Research, 23:1701–1730.
Dissecting AI-Generated Fake Reviews: Detection and Analysis of GPT-Based Restaurant Reviews on Social Media
Published in International Conference on Information Systems (ICIS), 2023
Detects and analyzes GPT-generated fake restaurant reviews on social media platforms.
Recommended citation: 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.
Investigating Patterns of Tourist Spatiotemporal Behaviour using Multiple Data Sources
Published in Journal of Vacation Marketing, 2024
Investigates tourist spatiotemporal behavior patterns using multiple data sources including mobile and social media data.
Recommended citation: 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.
AiGen-FoodReview: A Multimodal Dataset of Machine-Generated Restaurant Reviews and Images on Social Media
Published in 18th International AAAI Conference on Web and Social Media (ICWSM), 2024
Introduces a multimodal dataset of machine-generated restaurant reviews and images for social media research.
Recommended citation: 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.
Optimizing Product Matching in E-commerce: A Strategic Perspective on Precision-Recall Trade-off
Published in 5th International Conference on Advances in Digital Marketing and eCommerce, 2024
Investigates strategic precision-recall trade-offs in e-commerce product matching systems.
Recommended citation: 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.
Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape
Published in 11th IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2024
Develops interpretable deep learning models to forecast online advertising costs using competitive bidding dynamics.
Recommended citation: 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.
Optimizing Luxury Vehicle Dealership Networks: A Graph Neural Network Approach to Site Selection
Published in IEEE International Conference on Big Data (BigData), 2024
Applies graph neural networks to optimize site selection for luxury vehicle dealership networks.
Recommended citation: 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.
Personalized Pricing in the Age of Big Data: A Technical Perspective
Published in The Cambridge Handbook of Algorithmic Price Personalization and the Law, 2025
Book chapter providing a technical perspective on personalized pricing using big data and algorithmic methods.
Recommended citation: 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.
Immunodiagnostic plasma amino acid residue biomarkers detect cancer early and predict treatment response
Published in Nature Communications, 2025
Identifies immunodiagnostic plasma amino acid residue biomarkers for early cancer detection and treatment response prediction.
Recommended citation: 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.
Voice-based AI Agents: Filling the Economic Gaps in Digital Health Delivery
Published in IEEE International Conference on Digital Health (ICDH), 2025
Develops voice-based AI agents to address economic gaps in digital health service delivery.
Recommended citation: 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.
C-PATH: Conversational Patient Assistance and Triage in Healthcare System
Published in IEEE International Conference on Digital Health (ICDH), 2025
Presents C-PATH, a conversational AI system for patient assistance and triage in healthcare.
Recommended citation: 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.
Cross-Platform E-Commerce Product Categorization and Recategorization: A Multimodal Hierarchical Classification Approach
Published in IEEE International Conference on Big Data (BigData), 2025
Develops a multimodal hierarchical classification approach for cross-platform e-commerce product categorization.
Recommended citation: 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.
Quantifying Founder-Market Fit: A Machine Learning Approach to Startup Success Prediction
Published in 59th Annual Hawaii International Conference on System Sciences (HICSS), 2026
Applies machine learning to quantify founder-market fit and predict startup success.
Recommended citation: 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.
Dissecting Medical Referrals in Health Services: Role of Physician Professional Networks
Published in BMC Health Services Research, 2026
Accepted. Analyzes the role of physician professional networks in shaping medical referral patterns in health services.
Recommended citation: 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.
talks
Determinants of Subscriber Churn in Wireless Network: Role of Peer Influence
Published:
Conference presentation on determinants of subscriber churn in wireless networks with focus on peer influence mechanisms.
Role of Peer Influence in Churn in Wireless Networks
Published:
Best Paper Award (Acceptance rate: 16.7%). Conference presentation on peer influence effects on subscriber churn in wireless networks.
Asymmetric Role of Social Influence in Smartphone Adoption in A Large Mobile Network
Published:
Conference presentation on asymmetric social influence in smartphone adoption using large-scale mobile network data.
Social Influence Analysis using Mobile Phone Dataset
Published:
Conference presentation on social influence analysis using mobile phone datasets.
Characterizing the Technological Evolution of Smartphones: Insights from Performance Benchmarks
Published:
Conference presentation on characterizing smartphone technological evolution using performance benchmark data.
The Effect of Product Placement on Shopping Behavior at the Point of Purchase
Published:
Evidence from a randomized experiment using video tracking in a physical bookstore.
INFORMS Annual Meeting
Published:
Presented research at the INFORMS Annual Meeting.
International Conference on Data for Policy
Published:
Presented research at the International Conference on Data for Policy.
Patient-doctor Dyads and Patients’ Switching Patterns: towards trusting relationship in primary care
Published:
Presented research on patient-doctor dyads and switching behavior in primary care.
Profit-Driven Telemarketing Campaign in Wireless Industry using Uplift Modeling
Published:
Presented research on profit-driven telemarketing campaign optimization using uplift modeling.
Dissecting medical referral mechanisms in health services using graph neural networks
Published:
Presented research on medical referral mechanisms using graph neural networks.
Stocks in Tweets Today: Exploring Heterogeneous Investor Sentiment on Social Media
Published:
Explored heterogeneous investor sentiment on social media using structural topic modeling.
A Data-Driven Approach for Selecting Accounts in B2B Marketing
Published:
Best Paper Award Runner-up. Presented a data-driven approach for account selection in B2B marketing campaigns.
Can Customer Reviews and Food Photos Predict Restaurant Price Level?: Evidence from Yelp
Published:
Investigated whether customer reviews and food photos on Yelp can predict restaurant price levels.
Predictive counterfactual using machine learning: the case of Airbnb and the COVID-19 pandemic
Published:
Estimated COVID-19 pandemic effects on Airbnb using predictive counterfactual machine learning methods.
How Food Images Posted by Restaurant Owners and Customers Differ on Social Media?: A Food Aesthetics Perspective
Published:
Analyzed differences in food images posted by restaurant owners versus customers on social media from a food aesthetics perspective.
Forecasting Budget-Dependent CPCs: Learn From Your Competitors
Published:
Presented research on forecasting budget-dependent cost-per-click metrics using competitive intelligence.
AI Crowdturfing on Yelp: Identifying Patterns in Machine-Generated Fake Reviews
Published:
Identified patterns in machine-generated fake reviews on Yelp, contributing to the literature on AI crowdturfing.
Estimating Global Bilateral Music Flows in the Streaming Age: The Role of Distance Measures
Published:
Estimated global bilateral music flows in the streaming age and analyzed the role of various distance measures.
Unpacking Online Grocery Carts: A Mission-Based Approach to Shopping Trip Segmentation
Published:
Presented a mission-based approach to segmenting online grocery shopping trips.
Investigating Review Inconsistency through Image-Text Content Congruence: A Multimodal Learning Approach
Published:
Investigated review inconsistency using a multimodal learning approach analyzing image-text content congruence.
Mind the Language Gap: Exploring the Impact of Multilingual LLMs on News Recommender Systems
Published:
Explored unintended consequences of multilingual LLM embeddings on news recommender system performance across languages.
Google’s Sputnik Moment? The Disruption of Search Behavior in the Age of ChatGPT
Published:
Analyzed the disruption of search behavior caused by the rise of ChatGPT and generative AI assistants.
Mind the Language Gap: Unintended Consequences of LLM Embeddings on Multilingual News Recommender Systems
Published:
Examined unintended consequences of LLM embeddings on multilingual news recommender systems at WITS 2025.
teaching
Engineering and Technology Innovation Management in Practice (19684)
M.S. Course (Teaching Assistant), Carnegie Mellon University, 2012
Teaching assistant for graduate course on engineering and technology innovation management.
Innovation Management in Practice (19680)
M.S. Course (Teaching Assistant), Carnegie Mellon University, 2013
Teaching assistant for graduate course on innovation management in practice.
Data Curation (2489)
M.S. Course, Nova School of Business and Economics, 2018
Graduate-level course covering data collection, cleaning, integration, and preparation techniques for data science workflows.
Data Visualization (2491)
M.S. Course, Nova School of Business and Economics, 2018
Graduate-level course on data visualization principles and tools for communicating data-driven insights.
Big Data & Business Analytics (Executive Education)
Executive Education, Nova School of Business and Economics, 2019
Executive education program on big data and business analytics for practitioners and managers.
Machine Learning (2487)
M.S. Course, Nova School of Business and Economics, 2019
Graduate-level machine learning course covering supervised and unsupervised learning, deep learning, and applications to business problems.
Introduction to Programming (2477)
M.S. Course, Nova School of Business and Economics, 2020
Introduction to programming for data science, covering Python fundamentals and data analysis libraries.
Big Data & Machine Learning in Economic and Finance Research
Ph.D. Course, Nova School of Business and Economics, 2021
Ph.D.-level course covering big data methods and machine learning techniques applied to economic and finance research.