Data Science Research Lab

Data Science, FinTech and Information Systems Research Lab

The Data Science, FinTech and Information Systems Research Lab conducts research centered around various aspects of analyzing and modeling data to help with data driven decision making and understanding the adoption and use of information systems/technology.

data research lab data cloud

Research areas

  • AI and machine learning applications
  • Data Science for Social Good
  • Ethics and AI
  • Blockchain and Cryptocurrencies
  • Payment systems, WealthTech
  • Financial Technology adoption
  • Information systems implementation

TEAM
FACULTY
J.D Jayaraman headshot small

Dr. J.D Jayaraman (Bio)
Research Interests: AI in education, AI for social good
Email, social media: jjayarman@njcu.edu
LinkedIn: https://www.linkedin.com/in/j-d-jayaraman-6358914/
Xiaodi Zhu headshot small

Dr. Xiaodi Zhu (Bio)
Research Interests: Financial data analysis, Text mining, Behavioral finance, Social media analysis
Email, social media: xzhu@njcu.edu, LinkedIn: https://www.linkedin.com/in/xiaodiz/
ahmad rabaai headshot

Dr. Ahmad Rabaai (Bio)
Research Interests: Technology Adoption, Information Systems Implementation
Email, social media: arabaai@njcu.edu, Google Scholar

RESEARCH ASSISTANTS

Projects

  • Using data science to improve student retention.
  • Application of AI in education
  • Educational Data Mining/Learning analytics
  • Ethical framework for AI technologies
  • Analysis of data science job market
  • Financial risk analysis using firms’ disclosures
  • FinTech adoption
  • Cryptocurrency algorithmic trading with Google Cloud Platform
  • Modeling and Investment of Cryptocurrency (Dynamics of return and volatility, Derivatives, Trading strategy)
  • Applications of Blockchain Technology
  • Applications of Machine Learning in Asset Pricing

Presentations

Rabaa’i, A., Zhu, X., Jayaraman, J.D., Jha, P., Nguyen, T. (2022) A Neural Network Approach to Examine the Continuous Usage of Mobile Food Delivery Apps. Paper presented at the 2nd International Business Analytics Conference 2022, K J Somaiya Institute of Management Virtual.

Rabaa’i, A., Zhu, X., Jayaraman, J.D., Jha, P., Nguyen, T. (2022) Machine Learning Approach to Predict the Continuous Usage of Mobile Food Delivery Apps. Paper presented at the 9th Annual NJBDA Symposium, New Jersey Institute of Technology, Newark, NJ.

Awards

Best paper award at the 2nd International Business Analytics Conference, K J Somaiya Institute of Management, April 9, 2022 for the paper "A Neural Network Approach to Examine the Continuous Usage of Mobile Food Delivery Apps"

Join Us

Interested in being a research assistant in the lab?

Send:

  • Name
  • Email
  • Graduate or Undergraduate
  • Year in college
  • Major(s) and minor(s)
  • GPA
  • How many hours per week can you devote to this position?
  • What is your area of interest?

EMAIL US