Biography
Koojana Kuladinithi received her BSc and MSc degrees in Electronics & Telecommunication Engineering from the University of Moratuwa, Sri Lanka. She received her PhD on “Wireless MultiRhop Ad hoc Networks: Evaluation of Radio Disjoint Multipath Routing” from the University of Bremen, Germany. Since 2002, she had been working for the ComNets group at University of Bremen as a research scientist in the area of enhancing mobility management protocols. She is the author of many scientific publications including patents and is an active contributor at the IETF.
Since April 2016, she started working as a senior researcher at the Institute of Communication Networks of Hamburg University of Technology. She mainly engage with the research in the area of enhancing network protocols, optimizations of WSNs protocols and opportunistic communications.
Research Topics
- Wireless Sensor Networks / IoTs
- Peer-to-Peer Communications
- Opportunistic Networking
- Information Centric Networks
- Standisations of protocols
Research Projects
- DRAISE (Drahtlose, robuste, adaptive, industrielle Systeme für Industrie-Automation und Produktionslogistik)
- ReSA (Retrofitbare Sensorsystem-Architektur für prädiktive Instandhaltung)
- EPIC (Improving Employability Through Internationalization and Collaboration)
- ContinuING
- OppNets Research
Teaching
- Computer Networks and Internet Security
- Analysis and Structure of Communication Networks
- Simulation and Modelling of Communication Networks
Awards
- City of Hamburg's Teaching Award for 2024: Koojana Kuladinithi was one of 23 educators who received the award in recognition of exceptional teaching, innovative methods, and new mediation concepts
- 1st place for our team at the Science Slam held at the 2nd Digital Science Night organised by NoLs on the 23rd of January, 2020. We presented the machine learning concept of supervised learning under the title of Dance Dance Machine Learning Revolution.
- Best Scientific Contribution from our team at 5th OMNeT++ Community Summit 2018, University of Pisa, for "Teaching Modelling and Analysis of Communication Networks using OMNeT++ Simulator"
Publications