Specialization

Communication Networks, Networked Control Systems, Cyber-security

Email

debayani.ghosh@thapar.edu

Research Approach

My research interests broadly lie in the area of, complex large-scale networked systems. Within this broad area, my specific interests are in the design and analysis of networked control systems and communication networks. My research philosophy is to start by mathematically modelling a real-world problem, analyse the resulting model to develop some of the solutions, and then conduct computations and simulations to verify the validity of the solutions.

Research Areas

Communication Networks, Networked Control Systems, Cyber-security

Education

1. Post-doctoral Researcher: Chalmers University of Technology, Gothenburg, Sweden September 2019 - June 2021, Funded by: Ericsson and Zenseact. Collaborators : Dr. Davide Liuzza, Dr. Paolo Falcone and Dr. Jonas Sjoberg
2. Doctor of Philosophy and Master of Science by Research: Indian Institute of Technology Madras, Chennai, India, July 2012 - May 2019, Research Advisors : Dr. Krishna Jagannathan, Dr. Gaurav Raina, Thesis title: Right Buffer Sizing Matters: Some Dynamical and Statistical Studies on Compound TCP
3. Bachelor of Technology: Cochin University of Science and Technology, Kerala, India Major : Electronics and Communication Engineering

Under Graduate Project

Implementation of a Mobile Jammer for GSM: To prevent incoming and outgoing calls in mobiles within 1 metre of the mobile jammer.

Skill Set

1. Familiar Subjects:  Linear Dynamical Systems, Non-Linear Dynamics, Time-Delay Systems, Communication Networks, Digital Modulation Techniques, Wireless and Cellular Communication, Queueing Theory, Game Theory and Mechanism Design, Convex Optimization, Optimal Control
2. Analytical Skills: Convex Optimization, Real Analysis, Linear Algebra, Set Theory, Ordinary Differential Equations, Functional Differential Equations, Probability Theory and Stochastic Processes, Measure Theory, Stochastic Differential Equations
3. Programming Skills: MATLAB, Python, C, R, TCL. Additionally, I have exposure to working with Amazon Web Services (AWS).

Teaching Experience

1. Teaching Assistant at IIT Madras for the following subjects: Principles of measurement, Control Engineering, Optimization Methods for Signal Processing and Communications, Probability Foundations for Signal Processing, Introduction to Non-Linear Dynamics, Signals and systems, Data structures, Dynamic games: Theory and Applications
2. Lecturer at Chalmers University of Technology:  I was involved in designing the course curriculum and delivering lectures for the course “Applied Mechatronics Design". This course aims to give a basic theoretical understanding as well as some practical experience in the field of Mechatronics. The focus is on design, synthesis and analysis of mechatronics products containing control of motion, velocity and position.
3. Assistant Professor at Thapar Institute of Engineering and Technology: July 2021 - Present

Courses taught: Data Communication, Big Data Analytics, Cloud Computing, Advanced Computer Networks and Protocols

 Scholastic Achievements

1.  Among the top 5 outgoing students in Electronics and Communication Engineering Department B.Tech 2008-2012 batch in Cochin University of Science and Technology
2. Among the top 2% of the country in qualification exam for IITs (GATE exam)
3. Awarded Excellence in Teaching Assistantship'' for the academic year 2015-2016 at IIT Madras

Publications

Journals

1. Debayani Ghosh, Krishna Jagannathan and Gaurav Raina, “Local stability and Hopf bifurcation analysis for Compound TCP", IEEE Transactions on Control of Network Systems, 2017.
2. Debayani Ghosh, Krishna Jagannathan and Gaurav Raina, “Right buffer sizing matters: some dynamical and statistical studies on Compound TCP", Performance Evaluation,  2020.

Conferences

1. Debayani Ghosh, Krishna Jagannathan and Gaurav Raina, “Right buffer sizing matters: stability, queuing delay and traffic burstiness in compound TCP", in Proceedings of 52nd Annual Allerton Conference on Communication, Control, and Computing, 2014.
2. Sreelakshmi Manjunath, Debayani Ghosh and Gaurav Raina, “A Kaldor-Kalecki model of business cycles: stability and limit cycles", in Proceedings of the 26th Chinese Control and Decision Conference, 2014.
3. Apash Roy and Debayani Ghosh. "Pattern Recognition based Tasks and Achievements on Handwritten Bengali Character Recognition." In IEEE 6th International Conference on Inventive Computation Technologies (ICICT), 2021.
4. C Cynthia, Debayani Ghosh and Gopal Krishna Kamath, “Detection of DDoS Attacks using SHAP-based Feature Reduction”, accepted for publication in 10th International Conference on Artificial Intelligence, 2023.