Research Interest
Data-driven Modelling and Control
Statistical Signal Processing
Stochastic Control
Secure Control Algorithms
Distributed Optimization
Post-Doctoral Research
Postdoctoral research in the Institute of Technical Cybernetics Division at NTNU
Duration: Feb 2022- Present
Objective: To work on data-driven modelling and control algorithms for submerged arc furnaces producing FeSi and FeMn.
Post-Doctoral Research
Postdoctoral research in the Electrical and Information Technology division at Lund University
Duration: Jan 2021- Dec 2022
Objective: To propose and implement secure control algorithms for the cloud-native framework.
Doctoral Research
Title: Distributed Detection and Its Applications with Energy Harvesting Wireless Networks
Doctoral student in Signals and Systems Division, Dept. of Engineering Sciences, Uppsala University.
Duration: August 2014 - Dec 2020
Supervisor: Prof. Subhrakanti Dey
Objective: To explore the distributed detection techniques for the energy-constrained wireless network.
Masters Research
Project Associate in WC3 Lab, Dept. of Electrical Engineering, IIT Kanpur.
Duration: July 2013 - May 2014
Principal Investigator: Dr. Adrish Banerjee
Objective: To work on novel robust spectrum sensing techniques based on classical statistical detection techniques and goodness of fit tests.
2. Title: Robust Cooperative Spectrum Sensing with Partial and Unknown CSI
Duration: May 2012 - June 2013
Supervisor: Prof. Aditya.K.Jagannatham
Objective: The thesis focuses on the problem of channel uncertainty in cooperative spectrum sensing in the cognitive radio network. Novel robust detectors based on classical detection techniques have been proposed for the system with a partial and completely uncertain CSI model.
Undergraduate Research
Title: Study of Equal Gain Combining over Rayleigh and Cascaded Rayleigh Fading Channel
Duration: May 2008 - June 2009
Advisor: Prof. Anup Dey
Objective: The project is composed of two different parts. The First part is the Numerical study of the Equal Gain Combining Technique. The second part is the Performance evaluation of the process of Equal Gain Combining over a cascaded Rayleigh fading Channel, which was accomplished using the technique of characteristic function.