Peyman Teymoori

Peyman Teymoori

Førsteamanuensis
USN Handelshøyskolen
Institutt for industriell økonomi, strategi og statsvitenskap
Campus Drammen (6111)
35 02 62 39
Som informatiker med Ph.D. har jeg lang erfaring fra akademia og industri, og jobber som forsker, lærer og prosjektleder. Mitt akademiske fokus er på datanettverk og distribuert databehandling, med master og Ph.D. studier i henholdsvis anvendelser av AI og optimal kontrollteori i nettverk. Jeg har også jobbet med forskningsprosjekter ved Universitetet i Oslo. I industrien har jeg bidratt til programvareutvikling, prosjektledelse og IT-baserte tjenester. Som lærer har jeg dekket ulike informatikkfag og programmeringsspråk, planlagt fullstackutviklingskurs og skrevet bøker om AI og programvareteknikk.

Ansvarsområder

  • 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

Kompetanse

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

Publikasjoner i Cristin