M. Sc. Rubi Debnath 

Contact

E-Mail 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

   
   

Research Interests

  • Runtime reconfiguration of Time-sensitve networks
  • Time Sensitive Networking
  • Large scale industrial wired and wireless communication 

Supervised Work

 Master Thesis (MT), Bachelor Thesis (BT), Research Internship (FP)

Title Status Type Year
ILP based CQF scheduling Ongoing BT

2022

TSN Shaper Latency Analysis Ongoing FP

2022

Performance Analysis of IEEE 802.1Qch Cyclic Queueing and Forwarding for large-scale networks Ongoing FP

2022

Deep Reinforcement Learning based routing in large scale industrial networks Ongoing MT

2022

Implementation and analysis of Multiple Classes of AVB Traffic in TSN Ongoing FP

2022

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