Our research is motivated by real-world problems in interdisciplinary studies such as social science, health informatics, and recommender systems. We endeavor to design transparent machine learning and data analytical techniques to better discover dynamic and interpretable patterns from large-scale data.
I am proud of each one of my students and mentees. I enjoy working with all of them!
If you are interested in joining our lab: Please check out openings and requirements.Current students
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Sandy Xiaoxue Han, PhD student, Computer Science Area of study: Learning and Generalizing on Dynamic Graphs 2021 - present |
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Libo Zhang, PhD student, Computer Science 2023 - present |
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Pengfei Hu, PhD student, Computer Science 2023 - present |
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Zakariyya Scavotto, Undergraduate Student, Computer Science Area of study: Machine Learning Pinnacle Scholar 2023 - present |
Alumni
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Nan Cui, CS PhD, Stevens Institute of Technology 2020 - 2025 Dissertation: Fairness-informed Machine Learning |
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Jing Chen, DS PhD, Stevens Institute of Technology (co-advise) 2021 - 2025 Dissertation: Cross-Domain Multivariate Time Series Forecasting: An Ensemble Transfer Learning Framework with News Analysis Now: Amazon |
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Chang Lu, CS PhD, Stevens Institute of Technology 2019 - 2024 Dissertation: Knowledge-Guided Deep Learning for Health Data Mining and Augmentation Now: Walmart Global Tech |
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Songgaojun (Amy) Deng, CS PhD, Stevens Institute of Technology 2018 - 2022 Dissertation: Modeling and Understanding Societal Events via Graph Neural Networks Recipient of the Excellence in Graduate Research Award (2022) Now: Eindhoven University of Technology |
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Adam Sadej, CS Master, Stevens Institute of Technology 2022 - 2023 |
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Kun Wu, CS Master, Stevens Institute of Technology 2019 - 2020 |
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Tyler Soiferman, CS Bachelor, Stevens Institute of Technology REU participant 2022 - 2024 Now: Bank of America |
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Eric Yang, CS Bachelor, Stevens Institute of Technology AIRS Fellowship and REU participant 2023 - 2024 |
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Dominick Varano, CS Bachelor, Stevens Institute of Technology CRAFT fellowship Summer 2023 |
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Ioannis Ypsilantisno, CS Bachelor & Master, Stevens Institute of Technology CRAFT fellowship Summer 2023 |
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Colleen Que, CS Bachelor, Stevens Institute of Technology REU participant Fall 2023 Now: CMU |
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Weronika Zamlynny, CS Bachelor & Master, Stevens Institute of Technology Visited in 2019 Now: Microsoft |
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Remington Kim, Intern, Bergen County Academies Summer 2021 Publication at Smoky Mountains Computational Sciences Data Challenge. Now: MIT |
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Lyna Bacha, Intern, High Tech High School Summer 2021 Now: Duke University |
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Hima Kolavennu, Intern, South Brunswick High School Summer 2020 Now: UC Berkeley |
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Ameya Vaidya, Intern, Bridgewater-Raritan High School Summer 2019 Publication at ICWSM20. Now: Princeton University |