Our Ph.D. Students

About our current team of Ph.D. Students

Xiaofan Wang.jpg	Xiaofan Wang Contact: xw44@njit.edu Research interest: Data science so as to convert technical methods into actionable strategies to drive improvements in business, healthcare, and technology.
Fuqin Zhou.jpg	Fuqin Zhou Contact: fz24@njit.edu Research interest: Big data, risk management, and financial technology.
Bhaskar Goswami.jpg	Bhaskar Goswami Contact: bg362@njit.edu Research interest: Data Science in societal applications.
IMG_9851 (1).jpg	Xiangyu Gao Contact: xg77@njit.edu Research Interest: Development of Data Mining and Machine Learning techniques for Healthcare applications Most Recent Work Shi, J., Gao, X., Ha, C., Wang, Y., Gao, G., & Chen, Y. (2020). Patient ADE Risk Prediction through Hierarchical Time-Aware Neural Network Using Claim Codes. In 2020 IEEE International Conference on Big Data (Big Data). IEEE. More Info
IMG_6937 (1).jpg	Michael Smith Contact: mes6@njit.edu Research Interest: Advertising Technology, Computational Advertising, and Predictive Models Most Recent Work Nesreen El-Rayes, Stephen Michael Taylor, Michael Smith. An Explicative and Predictive Study of Employee Attrition using Tree-based Models Hawaii International Conference on System Sciences, 07 Jan 2020 More Info
Nesreen+El-Rayes (1).jpg	Nesreen El-Rayes Contact: nde4@njit.edu Research Interest: Data mining and Machine Learning Most Recent Work Nesreen El-Rayes, Stephen Michael Taylor, Michael Smith. An Explicative and Predictive Study of Employee Attrition using Tree-based Models, Hawaii International Conference on System Sciences, 07 Jan 2020 More Info
Muntasir Shohrab.jpg	Muntasir Shohrab Contact: ms3235@njit.edu Research interest: Multi-Layer Perceptron Neural Networks.
Weiting.jpg	Weiting Gao Contact: wg97@njit.edu Research Interest: Machine Learning, Deep Learning, and Natural Language Processing for Health Care Most Recent Work Li, M., Gao, W., & Chen, Y. (2020, October 19). A Topic and Concept Integrated Model for Thread Recommendation in Online Health Communities. Proceedings of the 29th ACM International Conference on Information & Knowledge Management. CIKM ’20: The 29th ACM International Conference on Information and Knowledge Management. https://doi.org/10.1145/3340531.3411933 More Info
IMG_2730.jpg	Roshani Bharati Contact: rb485@njit.edu Research Interest: Application of Machine Learning in Social Media More Info
Shaoqing_Zhang - Shaoqing Zhang.jpg	Shaoqing Zhang Contact: sz425@njit.edu Research Interest: Finance, Social Media
uras_photo.jpeg	Uras Varolgunes Contact: uv27@njit.edu Research Interest: Graph Neural Networks, Deep Learning Applications
Riley Grossman.jpg	Riley Grossman Contact: rag24@njit.edu Research interest: Algorithmic bias in artificial intelligence and machine learning algorithms, web scraping, building a dataset, linear regression, and building other machine learning models such as boosting with decision trees, generalized additive models with splines, random forests, and ensemble models.