Peyman Teymoori

Associate professor
USN School of Business
Department of Business, Strategy and Political Sciences
Campus Drammen (6111)
As a computer scientist with a Ph.D., I have extensive experience in academia and industry, working as a researcher, teacher, and project leader. My academic focus is on computer networking and distributed computing, with Master's and Ph.D. studies in applications of AI and optimal control theory in networking, respectively. I have also worked on research projects at the University of Oslo. In industry, I have contributed to software development, project management, and IT-based services creation. As a teacher, I have covered various computer science subjects and programming languages, planned full-stack development courses, and authored books on AI and software engineering.

Responsibilities

  • Program Coordinator of Industrial Bachelor in Information Technology (IT) and Information Systems (IS)
  • Program Advisor (Coordinator) of Microsoft Learn for Educators (MSLE) at USN
  • Program Coordinator of Cisco Networking Academy (NetAcad) at USN

Competences

Research Interests / Background:

  • Modelling, optimization, and performance evaluation of communication networks
  • The Recursive InterNetwork Architecture (RINA)
  • Networking technologies: Internet of Things (IoT), 5G/6G, WiFi, and Ad hoc Networks
  • Other interests: Artificial Intelligence/Machine Learning, Software Engineering, Cyber Security

Certificates:

  • Cisco Instructor training program for Cybersecurity Operations (CyberOps) – 2022
  • IBM Data Science Professional – 2021

University Pedagogical Education:

  • Development work for university pedagogy, UiO (50 hours, Spring 2023)
  • Research Supervision, UiO (30 hours, 2022)
  • Teaching and Learning in Higher Education - Introductory module. UiO, (120 hours, 2022)

Other Positions (part-time):

  • Visiting Scholar (student supervision), University of Oslo.
  • Subject Matter Expert (full-stack development), Noroff.

Research Projects:

  • Optimizations to Comple Adoption of RINA (OCARINA), technical co-lead and researcher, UiO, 2022.
  • Programmability In RINA for European supremacy of virTualised NEtworks (PRISTINE), work package co-leader and researcher, 2016.

Technical Skills:

  • AI & ML: Machine learning models in Mathematica, MATLAB, R, and Phyton.
  • Data Science: Statistics, Databases (SQL), Plotting and visualization, Optimization, Big data tools
  • Cyber-physical systems: IoT devices, Raspberry Pi, Jetson Nano, Arduin
  • Development and simulation: C/C++, Java, Python, R, NS-2, OMNeT++, SQL, DevOps, GitLab CI/CD, Docker, Java Card, Smart Card, Ingenico Point-of-Sale devices.
  • Software processes: Agile methodologies, Rational Unified Process (RUP), Extreme Programming (XP).

Industrial Expertise:

  • Software Project Management
  • Designing digital services: loyalty programs
  • Banking Systems: switching, messaging (ISO 8583)

Education:

  • Ph.D. in Computer Science. Dissertation: Scalability in Wireless Ad Hoc Networks. 2013.
  • Masters in Computer Science. Thesis: Distributed Network Management in Active Networks using CORBA. 2004.
  • Bachelor in Computer Science. Thesis: Network Management using Java Management Extension. 2001.

CV

Publications in Cristin