Skip to main content

Dr. Dmitry Zhdanov

State Farm Endowed Chair in Cybersecurity
School Information Technology
Office
Old Union - OU 207
Office Hours
By appointment
  • About
  • Education
  • Awards & Honors
  • Research

Current Courses

350.001Operating Systems Concepts and Administration

360.001Security Incident And Event Management And Forensics

360.003Security Incident And Event Management And Forensics

Teaching Interests & Areas

Cybersecurity Principles and Applications
Data Analytics
Emerging Technologies

Research Interests & Areas

Cybersecurity
Socially Responsible Computing
Responsible Use of Artificial Intelligence
Economics of Information Systems
Sustainability

PhD Management Information Systems

The University of Minnesota

MBA Business Administration

The University of Texas at Dallas

BBA Marketing

Voronezh State University

Distinguished Contribution in Teaching Award

J. Mack Robinson College of Business, Georgia State University
2022

Top Cited Article

Production and Operations Management Journal
2022

Undergraduate Teaching Award

School of Business, University of Connecticut
2015

Best Poster Paper Award

WITS-2013
2013

Innovation in Teaching Award

School of Business, University of Connecticut
2012

Conference Proceeding

Valogianni, K., Ketter, W., Collins, J., & Zhdanov, D. Facilitating a Sustainable Electric Vehicle Transition through Consumer Utility Driven Pricing. Proceedings of the 39th International Conference on Information Systems (2018)
Valogianni, K., Ketter, W., Colling, J., & Zhdanov, D. Effective Management of Electric Vehicle Storage using Smart Charging. Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14) (2014)
Valogianni, K., Ketter, W., Collins, J., & Zhdanov, D. Enabling Sustainable Smart Homes: An Intelligent Agent Approach. Proceedings of the 35th International Conference on Information Systems (2014)
Zhdanov, D. Electric Vehicles: Policy and Research Implications. Proceedings of IEEE International Conference on Smart Grid Technology, Economics and Policies (2012)
Zhdanov, D. Drivers, Metrics and Best Practices for Information Security. Proceedings of the 12th Americas Conference on Information Systems (2006)

Journal Article

Hui, K., Vance, A., & Zhdanov, D. Securing Digital Assets: Research Curation. MIS Quarterly Research Curations (2023)
Zhdanov, D., Bhattacharjee, S., & Bragin, M. Incorporating FAT and Privacy Aware AI Modeling Approaches into Business Decision Making Frameworks. Decision Support Systems 155 (2022): article 113715.
Gopal, R., Hidaji, H., Patterson, R., Rolland, E., Kutlu, S., & Zhdanov, D. Real or Not? Identifying Untrustworthy News Sites using Partner Networks. ACM Transactions on Management Information Systems 11.3 (2020): 1-20.
Valogianni, K., Ketter, W., Collins, J., & Zhdanov, D. Sustainable Electric Vehicle Charging using Adaptive Pricing. Production and Operations Management 29.6 (2020): 1550-1572.
Gopal, R., Hidaji, H., Patterson, R., Rolland, E., & Zhdanov, D. How Much to Share with Third-Parties? Users’ Privacy Concerns and Website’s Dilemma. MIS Quarterly 42.1 (2018): 143-164.

Magazine/Trade Publication

Gopal, R., Patterson, R., Rolland, E., & Zhdanov, D. Our Private Data and the Market for Third-Party Providers of Functionality to Websites. LSE Business Review (2017)

Presentations

Tailored Gamification: A New Definition and Application to Common-Pool Resource Provisioning for Electric Power Grid Balancing. SCECR-2023. (2023)
Building Cybersecurity Programs. Information Systems Teaching Workshop. (2022)
A Dynamic Model of Dark Market Equilibrium. 2018 Theory in Economics of Information Systems Workshop. (2018)
Towards Efficient Energy Management: Transforming Energy Business with IT. WITS-2018. (2018)
A Dynamic Model of Dark Market Equilibrium. WITS-2017. (2017)

Grants & Contracts

GAI-Secure: Transforming Cybersecurity Training with Cutting-Edge AI. Connected Communities Initiative (OSF+ISU). Private. (2024)
CyberCorps Scholarship for Service: Cybersecurity Workforce Preparation in the Age of Artificial Intelligence. National Science Foundation. Federal. (2022)