Niheskumar Sumanbhai Rathod
Advisor: Rajesh Sundaresan (ECE/RBCCPS) and Bharadwaj Amrutur (ECE/RBCCPS)
Nihesh received the B.E. degree in Electronics and Communications from Dharmsinh Desai University, Nadiad in 2012 and the M.E. degree in Telecommunication from the Indian Institute of Science in 2015. Since 2015, he is a Cisco Research Scholar in Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, where he is currently pursuing his Ph.D. degree in Communication and Networks. His interest include the areas in design and implementation of Internet of Things (IoT). He is currently working on the Steiner tree problem or a heterogeneous propagation environment and on the orchestration, maintenance and automation of large-scale networks using natural language processing.
Vinay Kumar Bindiganavile Ramadas
Advisor: Navin Kashyap (ECE)
Vinay Kumar B.R. is a Ph.D. student in the ECE Department at the Indian Institute of Science. He is a recipient of the CISCO-IISc PhD research fellowship from 2015-2020. He obtained his B.E.(Hons.) in Electrical Engineering and M.Sc.(Hons.) in Mathematics from BITS-Pilani in 2014. His research interests include distributed computation and communication on networks, percolation and random graphs. His current research includes energy efficient broadcast mechanisms on ad hoc networks. Previously, he has worked on indoor localization algorithms and smart grids during his tenure as a Project Associate in the Department of Electronic Systems Engineering, IISc.
Advisor: Manoj Varma (CeNSE)
Akshatha received her B.Tech. degree in Electronics and Communication from PES Institute of Technology, Bangalore in 2015. She worked as Associate Software Engineer for Automotive Functional Safety at Robert Bosch Engineering and Business Solutions, India during 2015-17. She is currently a PhD student in RBCCPS where her current research area is autonomous swarm robots. Her research focusses on modelling and control of the swarm of micro-robots in Low Reynold’s number environment.
Advisor: Parimal Parag (ECE)
Rooji received her B.Tech. degree in Electronics and Communication and her M.Tech. in Communication Engineering and Signal Processing from Calicut University, Kerala. She worked as Assistant Professor at Christ College of Engineering (affiliated to Kalam Technological University), Kerala during 2016-17. Currently, she pursues PhD at Robert Bosch Centre for Cyber Physical Systems, IISc, under the guidance of Dr. Parimal Parag, Department of Electrical Communication Engineering, IISc. Her current research area is timely updates for cyber-physical systems.
Ajay Kumar Badita
Advisor: Parimal Parag (ECE)
Ajay Badita is a PhD student in the department of Electrical Communication Engineering at Indian Institute of Science Bengaluru. He obtained his MTech from National Institute of Technology Rourkela. He is broadly working in distributed systems and networks, performance modelling and analysis, queueing theory. His current research focuses on design and analyses of distributed coded storage and computation systems.
Krishna Chaythanya K V
Advisor: Anurag Kumar (ECE) and Rajesh Sundaresan (ECE/RBCCPS)
Krishna Chaythanya is a PhD student at the ECE Department. He obtained his M.Sc(Engg) in ECE from the Indian Institute of Science in 2011 and B.E. degree in ECE from PES Institute of Technology, Bangalore in 2008. Prior to joining IISc for the PhD program, he worked on designing IoT Networks for Home Automation at a startup. Earlier, he worked at Imagination Technologies and CSR Technologies developing algorithms for wireless baseband transceivers. His research interests are broadly in sensing, inference, and control over networks. He is currently working on the application of sequential hypothesis testing and learning techniques for inference over networks with applications to Industrial Automation.
Advisor: Arpita Patra (CSA)
Nishat is a PhD student in the Department of Computer Science and Automation at Indian Institute of Science, Bangalore, advised by Dr. Arpita Patra. Prior to this, I obtained my M.Tech and B.Tech degrees in Computer Science and Engineering from National Institute of Technology Goa. Her research areas include Cryptography forms. Specifically, she works in the area of secure Multi-Party Computation (MPC). Her on-going project focuses on designing privacy-preserving machine learning algorithms via MPC for small population with honest majority in the secure outsourced computation setting.
Raghuram Bharadwaj Diddigi
Advisor: Shalabh Bhatnagar (CSA)
Raghuram is a Ph.D. student in the department of CSA at the Indian Institute of Science. His research interests include developing convergent algorithms for multi-agent and off-policy learning in the context of Reinforcement Learning, application of multi-agent reinforcement learning algorithms to smart grids. He is currently working on off-policy Actor-Critic algorithms and auction mechanisms for efficient energy management in microgrid networks.
Sarath Ampadi Yasodharan
Advisor: Rajesh Sundaresan (ECE/RBCCPS)
Sarath is a PhD student in ECE Department working with Prof. Rajesh Sundaresan. He is broadly interested in applied probability. His current research focuses on the study of metastability phenomenon in networked systems such as load balancing networks, WiFi networks, societal networks, etc. He obtained his M.E. in Telecommunications from the Indian Institute of Science and B.Tech. in Electronics and Communication Engineering from NIT Calicut.
Advisor: K.V. Raghavan & Deepak D’Souza(CSA)
Stanly is a Ph.D. student in the Department of Computer Science and Automation at Indian Institute of Science, Bangalore, advised by Prof. K.V. Raghavan and Prof. Deepak D’Souza. His research focuses on designing algorithms and building scalable tools in the domain of reactive synthesis using ideas from program verification, the theory of infinite games, and logic which has applications to cyber-physical system control and wireless sensor networks. His interests lie in the fine intersection between theory and practice, especially in the umbrella area of algorithmic program synthesis.
Advisor: Ambedkar Dukkipati (CSA)
Gururaj is an MTech Student in EE Department. He did his BTech from NITK Surathkal. He has previously worked at INTEL India for a year. He is interested in Machine Learning and Statistical modelling. His current research focuses on Statistical Network Analysis , Generative Modelling for large-scale Networks ,Dynamic Networks and Heterogenous Networks.
Advisor: Arpita Patra (CSA)
Mahak is a second year M. Tech student at IISc, Bangalore, working under the guidance of Dr. Arpita Patra , in Cryptography and Information Security Lab. Before joining IISc, she obtained her Bachelors in Computer Science from Mumbai University. My research primarily focuses on building and designing algorithms, using tools from Multiparty Computation for Privacy Preserving Machine Learning in a 3 server setting with minority corruption.
Advisor: Pavankumar Tallapragada (EE)
Nirabhra Mandal is an MTech(Res) student in the Department of Electrical Engineering at Indian Institute of Science. He received his BTech in Electrical Engineering from Institute of Engineering and Mangement, Kolkata in 2017. He is broadly interested in Non-Linear Control and Multi-Agent Systems. He is currently working on modeling the evolution and control of a population of selfish agents on a network.
Advisor: M. Narsimha Murty (CSA)
Prasanna received his B.E. degree in Computer Engineering from L. D. College of Engineering, Ahmedabad in 2014. He is currently working under Prof. M Narasimha Murty. He is broadly interested in hypergraphs which are higher-order graphs. His current research focuses on addressing issues involved in hyperedge prediction over hypergraphs. The aim is to develop a machine learning algorithm for hyperedge prediction which is general enough so that it can be applied to hypergraphs emerging in different domains such as biological networks, social networks and communication networks.
Advisor: Parimal Parag (ECE)
Saraswathy RM is an M.Tech(Res) student at the ECE department working under the guidance of Prof. Parimal Parag. She received her B.E from PES Institute of Technology in the year 2016. She is broadly interested in Queuing theory and networks. Her current research work focuses on design and implementation of distributed storage systems.
Advisor: Chandra R Murthy (ECE)
Himani is an M.Tech (Communication and Networks) student in the ECE department. She is currently working on developing a 3GPP standard aligned prototype of a Cell-free Distributed MIMO system with Dynamic TDD using OpenAirInterface (OAI) codebase and Software-defined Radio (SDR). Cell-free Distributed MIMO system provides high spectral & energy efficiency, overcomes inter-cell interference, and increases coverage probability. Dynamic TDD gives more flexibility to the system and improves throughput. This makes a Cell-free Distributed MIMO system with Dynamic TDD suitable for next-generation indoor & hot-spot coverage scenarios and critical outdoor coverage scenarios.
Advisor: Aditya Gopalan (ECE)
Rajat is an M.Tech (Communication and Networks) student in ECE department. He is currently working on designing and implementing a Medium Access Control (MAC) scheduler that allocates resource blocks (time -frequency resources) to the User Equipment considering the QOS requirements of different traffic flows at the MAC layer while maintaining an optimal throughput in the network. The evolution of wireless networks, aiming to provide high data rates and low latency makes new use cases like Vehicle-to-Vehicle/Infrastructure (V2X) more relevant. In these new scenarios, the User Equipment might not have a single type of data traffic, and different types of traffic might not have similar quality of service (QoS) requirements.
Advisor: Sundeep Prabhakar Chepuri (ECE)
Robin is an M.Tech student in ECE department. His areas of research are distributed optimization and he is currently working on ”Distributed Graph Signal Processing using Orthogonal Polynomial”. The work focuses on solving optimization problems in a distributed manner for scenarios without central processor. In this work we make use of orthogonal polynomials to accelerate the rate of convergence to the desired value and thereby obtaining a good approximate with less computations and communications. The major applications of the proposed technique are in denoising, semi-supervised learning, prediction, and other machine learning tasks on data that are distributed in nature.
Sangisetty Usha Sree
Advisor: Anurag Kumar (ECE)
Usha Sree is a second year M.Tech (Communication and Networks) student in ECE department. She obtained her B.Tech degree in ECE from NIT Warangal in 2019. She is currently working on designing and implementing a multi-hop network for IoT/CPS such that the overall network is simple, consumes less energy and takes less delay in transferring the sensed data from mobile sensors to the fusion centre via an IEEE 802.15.4 infrastructure network. Here, the mobile sensors are clock synchronized to have a common sampling point and the mean batch delay is computed for different sampling rates and network loads in the infrastructure network. The aim is to control the mobile and the infrastructure network for improving the end-to-end inference performance.
Advisor: Chandra R. Murthy (ECE)
Sanjhi is an M.Tech (Communication and Networks) student in ECE department. Her research work is aimed to establish an experimental prototype and evaluate the possible performance enhancement of cell-free distributed MIMO system using the OpenAirInterface built-in emulation platform which provides open source implementations of 5G-NR protocol stack meeting the 3GPP specifications. The system can be used to mitigate the cell-edge effects caused by path-loss and inter-cell interference by allowing the user-equipment to connect to multiple base-stations irrespective of the cell boundary, all of which serves the user in a coordinated manner. Hence, the system provides uniformly good service for all users in addition to greater reliability and large energy efficiency.
Advisor: A. Chockalingam (ECE)
Sujata is an Mtech (research) student in ECE department. She is currently working on designing and simulating Orthogonal Space-Time Frequency (OTFS) modulation for Visible Light Communications in an indoor local area network environment. OTFS is 2D signalling technique which effectively tackles the high mobility issues in time-varying wireless communications. The setup uses low-cost Light Emitting Diodes (LEDs) and Photodetectors (PD) for transmitters and receivers using visible light spectrum (wavelength: 400 – 700 nm) which is available in abundance at no cost, without the need for licensing, no radiation issues and provides inherent security in closed room application. Also, using white light, it can simultaneously be used for data transmission and lightening.