Dr. Hamid Nemati

Professor

Information Systems and Supply Chain Management

Email Address: hrnemati@uncg.edu

Phone: 336.334.4993

Biography

Dr. Hamid R. Nemati is a Professor of Information Systems at the Information Systems and Supply Chain Management Department of The University of North Carolina at Greensboro. Before coming to UNCG, he was on the faculty of J. Mack Robinson College of Business Administration at Georgia State University. He holds a doctorate degree in Information Technology and Management Science from the University of Georgia and a Master of Business Administration from The University of Massachusetts. He has extensive professional experience as a systems developer and an analyst and has consulted with several major corporations. 

Dr. Nemati is internationally recognized for his research in artificial intelligence, data science, big data analytics, information security and privacy, and organizational and behavioral aspects of Information Technology development and use. His current research interests are at the intersection of algorithmic and socio-behavioral aspects of artificial intelligence with a particular focus on development of ethical and trustworthy value-generating applications. He has published 11 books and over 130 peer-reviewed publications in various scholarly and professional journals and conference proceedings. He was the founding Editor-in-Chief of International Journal of Information Security and Privacy and the Editor-in-Chief of the Information Security and Privacy Book Series. He has been the PI or Co-PI on several grant projects totaling over $450,000. Noteworthy among them are grants awarded for studying the implication of the use of information technology in prevention of interpersonal violence specifically domestic and child abuse and a grant awarded by the UNC System to the University of North Carolina at Greensboro for the development of three Post Baccalaureate Certificate Programs in Information Technology, Information Assurance, Security and Privacy and Logistic and Supply Chain Management. He was the director of MSITM, where during his tenure; he revised the curriculum, increased student enrollment, and introduced new programs.

Dr. Nemati is an award-winning teacher and has extensive experience teaching various aspects of information technology. He has developed and taught over 30 new courses including courses in software application programming and web development, cybersecurity, information security, database development, knowledge management and data analytics. He has mentored undergraduate, graduate, and doctoral students on various research projects including independent projects, theses and dissertations. He has mentored over twenty doctoral students and has been the academic advisor to over 100 graduate students and has supervised over 70 graduate research projects. To date, his research collaborations with his students has resulted in one published book and over 40 refereed research articles.

Education

  • Ph.D. in Management Science and Information Technology from the University of Georgia (1996)
  • M.B.A. in Business Administration from the University of Massachusetts (1990).
  • B.S. in Physics from the University of Massachusetts (1987).

Research/Publications

Published Books

  1. Zolfaghari, B., Nemati, H. R., Yanai, N., Bibak, K. (2023). Crypto and AI: From Coevolution
    to Quantum Revolution. Cryptography and AI (ISBN: 978-3-031-44806-5 ed.). Springer
    Nature. (229 Pages)
  2. Zolfaghari, B., Bibak, K., Koshiba, T., Nemati, H., & Mitra, P. (2021). Statistical Trend
    Analysis of Physically Unclonable Functions: An Approach via Text Mining, ISBN-10:
    036775455X, 160 Pages. Ranked in the top 100 Cryptography Books, #2 Best Cryptographic
    Hardware Books, and #4 Best Text Mining Books of All Time (https://bookauthority.org/).

Peer Reviewed Publications:

  1. Han, Y., Modaresnezhad, M., Dissanayake, I., Mehta, N., Nemati, H. R. (2023). A
    computational linguistic analysis of the anatomy of production, consumption, and diffusion of
    misinformation and authentic information in social media: The case of the COVID-19
    pandemic. Discourse & Communication, 1-57.
  2. Han, Y, Modarsnezhad, M. and, Nemati, H. R. (2021). An Adaptive Machine Learning
    System for predicting recurrence of child maltreatment: A routine activity theory
    perspective. Knowledge-Based Systems, 227 (5), 107-164.
  3. Canziani, B and Nemati, H. R. (2021). Core and supplemental elements of hospitality
  4. in the sharing economy: Insights from semantic and tonal cues in Airbnb property
  5. listings. Tourism Management, 87, Article 104377.
  6. Canziani, B., Esmizadeh, Y. and Nemati, H.R. (2021). Student engagement with global
    issues: the influence of gender, race/ethnicity, and major on topic choice, Teaching in
    Higher Education, DOI: 10.1080/13562517.2021.1955340.
  7. Daneshvar Kakhki, M., Nemati, H. R. (2020). Value-Based View of Firms Enabled by
    Data Analytics: Aligning Suppliers for Customer Value Creation. Enterprise
    Information Systems, (Dec. 2020), 1-35.
  8. Daneshvar Kakhki, M., Nemati, H. R., Hassanzadeh, F. (2020). A Virtual Supply
    Chain System for Improved Information Sharing and Decision Making (pp. 707-725).
  9. Zolfaghari, B., Srivastava, G., Roy, S., Nemati, H. R. (2020). Content Delivery
    Networks: Where We Are and Where We Should Be Headed. ACM Computing
    Surveys, 53(2), 34:2 – 34:34. Ranked A* and the 20 highest ranking journal out of 650
    journals in Computer and Electrical Engineering.
  10. Thambusamy, R., Church, M., Nemati, H. R. (2020). User misrepresentation in online
    social networks: how competition and altruism impact online disclosure behaviors.
    Behavior & Information Technology, 39(12), 1320-1340.
  11. Modaresnezhad, M., Vahdati, A., Nemati, H. Ardestani, A. and Sadri, F. (2019). “A
    rule-based semantic approach for data integration, standardization and dimensionality
    reduction utilizing the UMLS: Application to predicting bariatric surgery outcomes”,
    Computers in Biology and Medicine. 106, 84-90. Ranked as the16 highest ranking
    journal in Medicine.
  12. Jaideep Ghosh, J., Abraham, D., Palvia, P., and Nemati, H. (2019). Information
    Technology Issues in Iran, In World IT Project.

Curriculum Vitae