
M. Sc. Rubi Debnath
Contact
rubi.debnath (at) tum.de | |
Telephone | |
Language | English, Hindi, German |
Office | Room 4949, Building 0509 |
Address | Rubi Debnath |
Research Interests
- Runtime reconfiguration of Time-sensitve networks
- Time Sensitive Networking, URLLC
- Large scale industrial wired and wireless communication
Supervised Work
Master Thesis (MT), Bachelor Thesis (BT), Research Internship (FP), *Co-Supervision
Student | Title | Status | Type | Year |
---|---|---|---|---|
Tim Spickermann | Wireless TSN development | Ongoing | MT* | 2022 |
Philipp Hortig | AVB-aware Critical Traffic Scheduling in Time-sensitive Networks with Preemption | Ongoing | MT | 2022 |
Devika Ajith | 5G-TSN Architecture | Ongoing | MT* | 2022 |
Juan Sebastian Rodriguez Galan | Injection based CQF scheduling | Finished | BT | 2022 |
Haocheng Xu | ILP based CQF scheduling | Finished | BT | 2022 |
Kamalakannan Arumugam | Automated Scripting for Large Scale Industrial Networks | Finished | FP | 2022 |
Henrique Frutuoso | Deep Reinforcement Learning based routing in large scale industrial networks | Finished | MT | 2022 |
Philipp Hortig | Implementation and analysis of Multiple Classes of AVB Traffic in TSN | Finished | FP | 2022 |
Juan Sebastian Rodriguez Galan | Scheduling in Cyclic Queueing and Forwarding | Finished | FP | 2022 |
Teaching
Course Name | Course Type | Role |
---|---|---|
System Design for the Internet of Things | Lecture + Tutorial | Tutor |
Advanced Seminar Embedded Systems and Internet of Things | Seminar | Seminar manager, Supervisor |
Request for Work
If you are interested in doing your research internship or master's thesis with me, then get in touch with me. In the email, please attach your resume, grade report and mention your desired starting date. Below are some of the topics that I am involved in:
- OMNeT++
- TSN
- Optimization techniques
- Machine Learning for TSN
- Reinforcement Learning concepts
- Networking concepts
- Network Security