Akshata Jagadish

 

Akshatha Jagadish 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.

Currently she is a PhD student advised by Prof. Gurunath Gurrala and her research area is cyber-physical systems framework for securing smart grid hardware components.


Bhimte Amit Ramkrishna

Amit Bhimte received his B.Tech. degree in Electrical Engineering from Government College of Engineering, Amravati in 2012 and his M.Tech. degree in Power Systems from the National Institute of Technology Calicut in 2015.

He is currently a PhD student advised by Prof. Shalabh Bhatnagar and Prof. Gurunath Gurrala. His current research interest is in the area of control of Smart Grid.


Chetan Kumar Kuraganti

Chetan Kumar

Chetan Kumar received his B.Tech. degree in Electronics and Communications Engineering from JNTU College of Engineering, Pulivendula in 2012 and his M.Tech. degree in the Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati in 2014.

He is currently a PhD student advised by Prof. Rajesh Sundaresan.


Chirag Ramesh

 

Chirag Ramesh received his B.E. degree in Electronics and Communications Engineering from PES Institute of Technology, Bangalore in 2017.

He is currently a PhD student advised by Prof. Chandra Murthy and Dr. Abhay Sharma. His current research interests are in the fields of cyber-physical systems, statistical signal processing and millimeter wave communications.


Nihesh Rathod

Nihesh Rathod received his B.E. degree in Electronics and Communication from Dharmsinh Desai University, Nadiad in 2012 and his M.E. degree in Telecommunication Engineering from the Indian Institute of Science in 2015.

He is currently a PhD student advised by Prof. Rajesh Sundaresan and Prof. Bharadwaj Amrutur.

His current research interest is in the area of design and implementation of cyber-physical systems and Internet of Things.


Rooji Jinan

 

Rooji Jinan received her B.Tech. degree in Electronics and Communication from Sahrdaya College of Engineering and Technology, Kerala in 2012 and her M.Tech. in Communication Engineering and Signal Processing from the Government Engineering College Trichur, Kerala in 2015.

She worked as Assistant Professor at Christ College of Engineering (affiliated to Kalam Technological University), Kerala during 2016-17.

Currently she is a PhD student advised by Prof. Parimal Parag and her current research area is timely updates for cyber-physical systems.


Sagar Gubbi

Sagar Gubbi received his B.E. degree in Electronics and Communication from Sri Jayachamarajendra College of Engineering, Mysore, in 2011 and his M.E. degree in Electrical and Communication Engineering from the Indian Institute of Science in 2013.

He worked on low power circuits for biomedical applications as a Technical Associate in the Robert Bosch Center for Cyber-Physical Systems in 2014. He is currently a PhD student advised by Prof. Bharadwaj Amrutur.

His current research interest is in the area of natural scene text recognition.


Shayal Chhabra

Shayal Chhabra received her B.Tech. degree in Computer Science and Engineering from Government College of Engineering and Technology Bikaner, Rajasthan in 2015.

She worked as Functional and Load Tester in Hewlett Packard Enterprises during 2015-17.

Currently she is a PhD student advised by Prof. Yogesh Simmhan and her current research area is stream processing in IoT.


Srikrishna Acharya

Srikrishna Acharya has a Bachelor degree in Electronics from G. Pulla Reddy College of Engineering & Technology, Kurnool and a Master degree in VLSI and Embedded Systems from the Indraprastha Institute of Information Technology, Delhi.

He is a PhD student advised by Prof. Bharadwaj Amrutur and his current research interest are software and firmware development in IoT stack.


Siddarth Asokan

 

Siddarth Asokan received his B.E. degree in Electronics and Communications Engineering from Ramaiah Institute of Technology, Bangalore in 2017.

He is currently a PhD student advised by Prof. Chandra Sekhar Seelamantula and Prof. Prasanta Kumar Ghosh. His research interests include the fields of image and video processing, machine learning and cyber-physical systems.


Srivatsa Bhargava J.

Srivatsa Bhargava received his B.Tech. degree in Electronics and Communications Engineering from Aurora’s Engineering College, Hyderabad in 2008 and his M.Tech. degree in Electronics Design and Technology from the Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore in 2010.

Prior to joining the PhD program in January 2015, he worked as an ASIC Design and Verification Engineer at Nvidia and Xilinx.

His research interests include exploration of algorithms and architectures for distributed video analytics, machine learning, development of accelerator IPs for solving inference and optimization problems.


Tarun Khandelwal

 

Tarun Khandelwal received his B.E. degree in Electronics and Telecommunication Engineering from Sant Gadge Baba Amravati University, Amravati and his M.Tech. degree in VLSI Design from Visvesvaraya National Institute of Technology Nagpur.

He has work experience as a Project Engineer at Wipro Technologies, and as a Junior Research Fellow at the Department of Electronic Systems Engineering and RBCCPS at the Indian Institute of Science, Bangalore.

He is interested in data analytics related to transportation systems and energy, and signal processing applications. He is currently a PhD student advised by Prof. Ashish Verma and Prof. Abdul Pinjari.


Vaishali P.

 

Vaishali received her B.E. degree in Electronics and Communication from PES Institute of Technology – Bangalore South Campus in 2016. Afterwards, she worked as a Research Associate for a year at PESIT – Bangalore South Campus.

She is currently a PhD student advised by Prof. Aditya Gopalan and Prof. Himanshu Tyagi. Her research interests are in the fields of cyber-physical systems and statistical inference.