Peyman Teymoori

Peyman Teymoori

Professor
Department of Business, Strategy and Political Sciences
USN School of Business
Campus Drammen
+47 35 02 62 39
As a Professor of Computer Science at the University of South-Eastern Norway (USN), I work at the intersection of academic research, industry-driven innovation and technology education. My current research concentrates on network modelling, optimisation and performance analysis, with a special emphasis on the Recursive InterNetwork Architecture (RINA), next-generation wireless and IoT connectivity (5G/6G, Wi-Fi 6/7, BLE 5) and the application of machine-learning techniques to resilient, secure networking. I coordinate several strategic programmes at USN, including the Industry Bachelor in Information Technology & Information Systems, Microsoft Learn for Educators and the Cisco Networking Academy, and I supervise students in topics ranging from congestion control to AI-enabled cyber-security. My teaching portfolio covers AI/ML, data engineering, full-stack development and business intelligence, complemented by recognised pedagogical training and certifications such as Cisco CyberOps Instructor and the IBM Data Science Professional Certificate. Before joining USN I held research position at the University of Oslo and contributed to EU Horizon projects such as PRISTINE, focusing on programmable, virtualised networks. In the private sector I have led software-development and digital-services teams in banking and loyalty-programme platforms, experience that continues to inform my applied research and project-based teaching. Across academia and industry, my goal remains consistent: to design and deploy networked systems that are scalable, energy-aware and secure, while preparing the next generation of engineers to do the same.

Responsibilities

  • Program Coordinator of Industry 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
  • Program Coordinator of Oracle Academy at USN
  • Program Coordinator of Red Hat Academy at USN
  • Program Coordinator of AWS Academy 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

Teaching:

  • Artificial Intelligence and Machine Learning
  • Business Intelligence and Data Warehouse
  • Full-Stack Development

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):

  • 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 Python.
  • 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