Our Ph.D. Students

About our current team of Ph.D. Students

12.jpeg	Xi Zhang Contact: xz262@njit.edu Research Interest: Entrepreneurship, Platform Strategy, Business Model Innovation, Data Analytics in Social Science, and Strategic Management Most Recent Work Zhang, X., Roy, R., & Gopalakrishnan, S. (2020, December 10-11). From ugly duckling to swan: CVC, open innovation, and the advent of unicorn ventures [Conference presentation]. The 7th Annual World Open ‎Innovation Conference (WOIC), University of California, Berkeley. More Info
IMG_9834 (1).jpg	Ajim Uddin Contact: aj76@njit.edu Research Interest: Application of Machine Learning in Finance, Asset Pricing, Tensor Factorization and Tensor Completion Most Recent Work Uddin, A., & Yu, D. (2020). Latent factor model for asset pricing. Journal of Behavioral and Experimental Finance, 27, 100353. https://doi.org/10.1016/j.jbef.2020.100353 More Info
xun wang.jpg	Xun Wang Contact: xw383@njit.edu Research Interest: Finance, ML in Fintech Innovation, Data Analytics
IMG_2729.jpg	Abubakar S. Bouda Abdulai Contact: aba38@njit.edu Research Interest: Healthcare Quality, Health Policy Data Science, ML & NLP in Health Care Most Recent Work Abubakar-Sadiq B. Abdulai, Fahad Mukhtar, & Michael Ehrlich. United States’ Performance on Emergency DepartmentThroughput, 2006–2016. Ann of Emer Med. https://doi.org/10.1016/j.annemergmed.2021.01.009. More Info
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
Colette Malyack Current Picture.PNG	Colette Malyack Contact: ctm22@njit.edu Research Interest: Machine Learning, Optimization, Customer Sentiment, and Predictive Analytics Most Recent Work Malyack, Colette Therese, Hunter, Krystal M., Hiltz, Starr Roxanne. Twitter and the Prediction of Oscar Winners, AMCIS 2020 Proceedings (2020) More Info
myself.JPG	Jiali Wang Contact: jw572@njit.edu Research Interest: Equity Investment and Behavioral Finance More Info
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