Dr. Haydar Teymourlouei – Associate Professor

Dr. Haydar Teymourlouei

Associate Professor
Department of Computer Science and Engineering Technology

Office Location: EASC 2064
Tel: (410) 651-6124
Email: hteymourlouei@umes.edu
LinkedIn: Dr. Haydar Teymourlouei’s Profile

Research Interests

• Cybersecurity & Threat Defense: Cybersecurity, hardware security, computer and network security, software security, Internet of Things (IoT) vulnerabilities, zero-trust compliance, intrusion detection, penetration testing, zero-day attacks, blockchain, threat intelligence, data loss prevention, and vulnerability assessment.
• Artificial Intelligence & Data Science: Artificial intelligence, machine learning, deep learning, big data analysis, data science, and network analysis.
• Security Systems & Governance: Security education & awareness, risk assessment & management, security systems engineering, and cryptography & key management.
• Spacecraft Systems: Spacecraft data management and analysis.

Academic Background

• Ph.D. in Computer Science – Bowie State University (2013)
• M.S. in Computer Science – Bowie State University (2001)
• B.S. in Computer Science – Bowie State University (1997)

Courses and Teaching Areas

• Computer & Network Security: Computer and network security, computer and network digital forensics, principles and methods of intrusion detection and prevention, software and OS security, fundamentals of cryptography & applications, case studies in computer security, information privacy & security, information assurance and security, network security and privacy, and hardware-oriented security and trust.
• Systems & Network Administration: Server administration I & II, UNIX system administration, client operating systems, introduction to Linux, network protocols, computer networks, and edge technology architecture.
• Core Computer Science & Engineering: Data structures, operating systems, computer architecture, software engineering, programming lab for hardware and simulation, and computer applications.
• Emerging Technologies & Special Topics: Smart integrated systems, internet technology discovery, and special topics in computer technology.

Grants and Projects in the Last 5 Years

• Improving earthquake prediction with artificial intelligence and machine learning, principal investigator, National Aeronautics and Space Administration (NASA) Gateways to Blue Skies Competition, undergraduate.
• A novel architecture that examines network activity in a docker-based multitenant
  to verify zero trust container architecture (ZTCA) compliance, student mentor and cybersecurity specialist, Department of Veterans Affairs & Cognosante, undergraduate.
• Enhancing space technology security: Leveraging generative AI for synthetic data
  simulation of cyber threats and response testing, principal investigator, NASA Minority University Research and Education Project (MUREP) Innovative New Designs for Space (MINDS), undergraduate.
• Authorization system for zero-trust microservices infrastructure, principal investigator, Target, undergraduate.
• Evaluation of machine learning performance under varying computing environments, principal investigator, NASA MUREP MINDS, undergraduate.
• Best methods for implementing a zero-trust network in a financial system, principal investigator, Paychex, undergraduate.

Last 5 Publications

1. Teymourlouei H and Stone D, Malware detection in the IoT home network, 25th Int’l Conf. on
   Internet Computing and Internet of Things, 2024, https://doi.org/10.1007/978-3-031-85923-6_3.
2. Teymourlouei H and Harris V, A Machine Learning Approach to Threat Hunting in Malicious PDF Files, 2023 International Conference on Computational Science and Computational Intelligence (CSCI), 2023, https://doi.org/10.1109/CSCI62032.2023.00133.
3. Teymourlouei H, Stone D, Jackson L, Identifying zero-day attacks with machine learning and data reduction methods, 2023 International Conference on Security and Management (SAM), 2023, https://doi.org/10.1109/CSCE60160.2023.00372.
4. Teymourlouei H, A machine learning approach to the evaluation of zero trust compliance in
   network infrastructure, 2023 International Conference on Electrical, Computer and Energy
   Technologies, 2023, https://doi.org/10.1109/ICECCME57830.2023.10253205.
5. Teymourlouei H, Harris V, Neural networks and network protocols to predict network behavior, In 2022 Int’l Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2022, https://doi.org/10.1109/CSCI58124.2022.00181.

Professional Affiliations and Memberships

Association of Computing Machinery (ACM)

Hobbies and Personal Interests

Traveling, gardening, and programming.

Additional Information