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.