Jujun Huang



Email: jhuang83 [at] binghamton.edu
Assistant Professor of Management Information Systems
School of Management
Binghamton University, SUNY
Updated: Sep, 2024



Research Interests

  • Design Science

  • Research Methods: Natural Language Processing, Econometrics

  • Applied Area: FinTech, Social Media Analytics

Education

  • Ph.D. in Information Systems & Analytics

    Stevens Institute of Technology

  • M.S. in Business Intelligence & Analytics

    Stevens Institute of Technology

  • B.B.A.

    Shanghai University of International Business and Economics

Research

Published Paper:

  • Tracking Disclosure Change Trajectories for Financial Fraud Detection (2022) [ With Rong Liu, Zhongju(John) Zhang ], Production and Operations Management.
    Doi: 10.1111/poms.13888. [FT50, UTD24, ABS-4]
    download

Presentations

AI in Love with You: Linguistic Convergence in Human-Chatbot Relationship Development

  • Academy of Management (AOM) Annual Meeting.
  • Seattle WA, Aug 2022.

 

Leveraging Disclosure Change Trajectories to Detect Financial Frauds

  • Workshop on Information Technology and Systems (WITS).
  • Recieved Best Student Award.
  • Austin TX, Dec 2021.

Teaching

Instructor, Binghamton University:

 

  • MIS480D/580D: Praticle Data Wrangling

    • Served as the instructor of this undergradute & MBA course.


    • T.A. & Instructor, Stevens Institute of Technology:

     

    • MIS634: Business Intelligence and Data Integration

      • Served as the instructor of this master core course.


    • BIA660: Web Mining

      • Served as a teaching assistant of this master core course.


Service

Journal and Conference Review:

 

  • International Conference on Information Systems (ICIS), 2024

  • Workshop on Information Technology and Systems (WITS), 2023

  • Conference on Information Systems and Technology (CIST), 2023

  • Machine Learning with Applications, 2022 & 2023

  • INFORMS Workshop on Data Science, 2022

  • IEEE International Conference on Services Computing, 2021

Non-Academic Experience

  • Data Science Intern, United Nations, Mar. 2018 - Sep. 2018

    • Applied advanced natural language processing techniques to process text data.
    • Built models by combining several algorithms (SVM, XGBoost, etc.).
    • Provided artificial intelligence solution to textual classification for UN’s website.