M.Sc. Rubi Debnath
Contact
| rubi.debnath (at) tum.de | |
| Telephone | |
| Language | English, Hindi, German |
| Office | Room 4949, Building 0509 |
| Address | Rubi Debnath TUM-EI-ESI Arcisstr. 21 D-80333 München |
| Consultation Hours | By appointment |
Research Interests
- Time Sensitive Networking, URLLC
- Runtime reconfiguration of Time-sensitive networks
- Machine Learning Assisted TSN Scheduling
- Optimization of TSN Scheduling Algorithms using heuristics, ILP and DRL
- Traffic-Type Assignment in TSN
Publications
- [Preprint] Learning-Based Traffic Classification for Mixed-Critical Flows in Time-Sensitive Networking
Rubi Debnath, Luxi Zhao, Sebastian Steinhorst
IEEE International Conference on Communications (ICC 2025), Montreal, Canada, 2025, pp. 1-7. - CyclicSim: Comprehensive Evaluation of Cyclic Shapers in Time-Sensitive Networking Github
Rubi Debnath, Luxi Zhao, Mohammadreza Barzegaran, Sebastian Steinhorst
IEEE Consumer Communications & Networking Conference (CCNC 2025), Las Vegas, NV, USA, 2025, pp. 1-9. - Quantifying the Impact of Frame Preemption on Combined TSN Shapers Github
Rubi Debnath, Philipp Hortig, Luxi Zhao, Sebastian Steinhorst
IEEE/IFIP Network Operations and Management Symposium (NOMS 2024), Seoul, South Korea, 2024, pp. 1-9. - 5GTQ: QoS-Aware 5G-TSN Simulation Framework Github
Rubi Debnath, Mustafa Selman Akinci, Devika Ajith, and Sebastian Steinhorst
2023 IEEE 98th Vehicular Technology Conference: VTC2023-Fall, Hong Kong, 2023, pp. 1-7. - Advanced Modeling and Analysis of Individual and Combined TSN Shapers in OMNeT++ Github
Rubi Debnath, Philipp Hortig, Luxi Zhao, Sebastian Steinhorst
2023 IEEE 29th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Niigata, Japan, 2023, pp. 1-10.
Talks
- Interview Series
Looking behind the Doctorate
TUM Graduate School, TUM, Munich, Germany, April 2, 2025 - Global Fellows Program
Imperial College London (Imperial) in partnership with TUM and Nanyang Technological University (NTU Singapore)
Exhibition Rd, South Kensington, London SW7 2AZ, United Kingdom, July 2024 - Challenges and Advances in 5G-TSN Integration
Workshop On Advances In Short-Range Wireless Communications
HiPEAC 2025, Barcelona, Spain - Leveraging Machine Learning for Time-Sensitive Networks [Video]
Global Young Scientists Summit 2024, Singapore, January 2024
Supervised Work
Master Thesis (MT), Bachelor Thesis (BT), Research Internship (FP), *Co-Supervision
| Student | Title | Status | Type | Year |
|---|---|---|---|---|
| Aditi Agrawal | TBD | Ongoing | FP | 2024 |
| Samuel Hernandes | TSN Testbed Experimentation | Ongoing | FP | 2024 |
| Samuel Hernandes | Schedulability Analysis of CQF+FP | Finished | BT | 2024 |
| Parth Anand | Routing Optimization for MCQF | Finished | MT | 2024 |
| Ziqi Zhang | Simulative assessment of IEEE 802.1 Qch with FP | Finished | FP | 2024 |
| Shiwen Cao | Heuristics-based cyclic queuing and forwarding configuration | Finished | FP | 2024 |
| Rogelio Velazquez | Development of an ML-assisted scheduling algorithm | Finished | FP | 2024 |
| Anubhav Kumar | Network Security in TSN | Finished | FP | 2024 |
| Zhen Yu | DRL assisted Traffic Assignment | Finished | MT | 2024 |
| Selver Sadikovic | GA based Routing and Scheduling | Finished | MT | 2024 |
| Abinaya Natarajan | DRL based DCQF JRSP | Finished | MT | 2023 |
| Philipp Hortig | AVB-aware Critical Traffic Scheduling in Time-sensitive Networks with FP | Finished | MT | 2023 |
| Devika Ajith | 5G-TSN Architecture | Finished | MT | 2023 |
| Juan Sebastian Rodriguez Galan | Injection-based CQF scheduling | Finished | BT | 2023 |
| 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 | Semester | Course Type | Role |
|---|---|---|---|
| System Design for the Internet of Things | SS21 | Lecture + Tutorial | Tutorial |
| Advanced Seminar Embedded Systems and Internet of Things | SS21 | Seminar | Supervisor |
| Advanced Seminar Embedded Systems and Internet of Things | WS21/22 | Seminar | Seminar Manager, Supervisor |
| System Design for the Internet of Things | SS22 | Lecture + Tutorial | Tutorial, Manager |
| Advanced Seminar Embedded Systems and Internet of Things | SS22 | Seminar | Seminar Manager, Supervisor |
| Advanced Seminar Embedded Systems and Internet of Things | WS22/23 | Seminar | Seminar |
| System Design for the Internet of Things | SS23 | Lecture + Tutorial | Tutorial, Manager |
| Advanced Seminar Embedded Systems and Internet of Things | WS23/24 | Seminar | Supervisor |
| System Design for the Internet of Things | SS24 | Lecture + Tutorial | Tutorial |
| Advanced Seminar Embedded Systems and Internet of Things | SS24 | Seminar | Seminar Manager, Supervisor |
| Advanced Seminar Embedded Systems and Internet of Things | WS24/25 | Seminar | Seminar Manager, Supervisor |
Request for Work
If you are interested in conducting a research internship or writing your master's thesis with me, please feel free to get in touch. In your email, kindly attach your resume, grade report, and specify your desired starting date. I am currently involved in several interesting topics related to Time-Sensitive Networking (TSN), Machine Learning for TSN and optimization, including:
- TSN scheduling and configuration
- Optimization techniques
- Wired-Wireless Communication
- Machine Learning for TSN
- Deep Reinforcement Learning modelling for TSN
- 5G-TSN integration
- Networking concepts