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
- Time Sensitive Networking, URLLC
- Runtime reconfiguration of Time-sensitive networks
- Machine Learning Assisted TSN Scheduling
- Advancing TSN Scheduling Algorithms using ML and heuristics
- Traffic-Type Assignment in TSN
Publications
- Quantifying the Impact of Frame Preemption on Combined TSN Shapers
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
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++
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.
Supervised Work
Master Thesis (MT), Bachelor Thesis (BT), Research Internship (FP), *Co-Supervision
| Student | Title | Status | Type | Year |
|---|---|---|---|---|
| Ziqi Zhang | Simulative assessment of IEEE 802.1 Qch with FP | Ongoing | FP | 2024 |
| Samuel Hernandes | Schedulability Analysis of CQF+FP | Ongoing | BT | 2024 |
| Parth Anand | Routing Optimization for MCQF | Ongoing | MT | 2024 |
| Shiwen Cao | Heuristics-based cyclic queuing and forwarding configuration | Ongoing | FP | 2024 |
| Rogelio Velazquez | Development of an ML-assisted scheduling algorithm | Ongoing | FP | 2024 |
| Anubhav Kumar | Network Security in TSN | Ongoing | FP | 2024 |
| Zhen Yu | DRL assisted Traffic Assignment | Finished | MT | 2024 |
| Arash Sorooshmehr | AVB aware GCL in TSN | Ongoing | MT | 2024 |
| Selver Sadikovic | GA based Routing and Scheduling | Finished | MT | 2024 |
| Abinaya Natarajan | DRL based DCQF JRSP | Finished | MT | 2023 |
| Tim Spickermann | Wireless TSN development | 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 |
| 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 | 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 |
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
- OMNeT++
- Networking concepts
- Network Security