Tengteng Ma

Tengteng Ma

Ph.D Student

University of Illinois at Chicago


Tengteng Ma is a Ph.D student in Management Information Systems at University of Illinois at Chicago. Her research interest lies in the intersection of Artificial Intelligence and Business Analytics. Her current work focuses on studying human behaviors on online platforms using large-scale heterogeneous datasets, and developing artificial intelligence solutions to address complex business problems and societal issues.


Graph Neural Network Model with Attention Mechanism for Customer Engagement Prediction

with Yuheng Hu, Yingda Lu, Siddhartha Bhattacharyya

We design a Graph Neural Network model called GACE to predict customer engagement of brand posts by exploiting large-scale content consumption information from the perspective of heterogeneous network.

Modeling Customer Complain Behavior: A Neural Matrix Factorization Approach

with Yuheng Hu, Yingda Lu

We propose a deep learning approach which incorporates prior domain knowledge into a principled probabilistic matrix factorization framework to enhance complain behavior predictions as well as their interpretability.

with Debaleena Chattopadhyay, Hasti Sharifi

We systematically evaluate evidence from controlled studies of interventions using virtual humans on their effectiveness in health-related outcomes. The design and implementation characteristics of these systems are also examined.


Tengteng Ma, Hasti Sharifi, Debaleena Chattopadhyay (2019). Virtual Humans in Health-Related Interventions: A Meta-Analysis. in CHI.

Debaleena Chattopadhyay, Tengteng Ma, Hasti Sharifi, Pamela Martyn-Nemeth (2020). Computer-Controlled Virtual Humans in Patient-Facing Systems: Systematic Review and Meta-Analysis. in Journal of Medical Internet Research.


WITS 2020 Best Paper Awards

HICSS 2021 Best Paper Nomination

University of Illinois at Chicago Doctoral Scholarship

University of Illinois at Chicago Graduate College Doctoral Fellowship

Conferences and Workshops

INFORMS Annual Meeting

  • 2021: Computational Social Science, Session Chair
  • 2020: Invited Presenter
  • 2019: Invited Presenter

Hawaii International Conference on System Sciences (HICSS 2021)

Workshop on Information Technologies and Systems (WITS 2020)

INFORMS Workshop on Data Science (WDS 2020)

Teaching Experience


  • IDS 400 Programming for Data Science in Business (2020 Summer, 2021 Summer)

    Course Evaluation: 4.42/5

Teaching Assistant

  • IDS 576 Deep Learning and Applications (2021 Spring - present)
  • IDS 594 Operationalizing Machine Learning (MLOps) (2020 Fall - present)
  • IDS 561 Analytics for Big Data (2019 Fall - present)
  • IDS 566 Advanced Text Analytics for Business (2019 Fall - 2020 Fall)