Qiwei Han

Qiwei Han

Assistant Professor of Business Analytics (tenure-track) at Nova School of Business and Economics. Research in econometrics, machine learning, and computational social science.

Posts by Collection

portfolio

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.

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.

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

teaching

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.

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.