PhD Students


Samarth Gupta

Samarth (co-advised with Osman Yagan) joined the PhD program at CMU in 2017. Before that he received B.Tech. and M.Tech. in Electrical Engineering from Indian Institute of Technology, Bombay. His research interests include performance modeling of computer systems, network science and online learning.




Ankur Mallick

Ankur joined the PhD program at CMU in 2017. He received a B.Tech. in Electrical Engineering and a M.Tech. in Communications and Signal Processing, both in 2016, from the Indian Institute of Technology Bombay. Following this he spent a year at Sony Corporation, Japan, as an R&D engineer working on signal processing and machine learning algorithms for image sensors. His current research interests include development of algorithms for machine learning and distributed computations.



Jianyu Wang

Jianyu joined the PhD program at CMU in 2017. He received a Bachelor degree in Electronic Engineering at Tsinghua University, China. During his undergraduate program, he has spent three months in UC Berkeley as a visiting researcher and two years working with professor Yuan Shen. His research at CMU focuses on distributed machine learning.





Masters Students


Mani Swetha Mandava

Swetha joined the MS program at CMU in 2017. Before that, she received her B.Tech in Electronics and Communication from Manipal Institute of Technology. Her current research revolves around developing machine learning algorithms with applications in NLP/computer vision and optimizing them using parallel/distributed computing.




Souptik Sen

Souptik graduated with a Bachelor of Engineering (Distinction) from Birla Institute of Technology, Mesra in 2013. He joined the Masters program at CMU in 2016. In Summer 2017, he interned with LinkedIn's Data team, working on real-time query translation from MapReduce to Spark. His current research interests include Large-scale Machine Learning and Big Data.



Sai Bhargav Yalamanchi

Sai Bhargav joined the ME program at CMU in 2017. He received a B. Tech in Electrical Engineering from the Indian Institute of Technology, Bombay. Following that he spent two years building high accuracy AI based solutions for the Networks Business of Samsung Electronics in Suwon, South Korea. His current research interests include deep generative modeling and deep reinforcement learning.





Research Assistant


Malhar Chaudhari

Malhar (co-advised with Prof. Pulkit Grover) graduated from CMU in 2018 with a Master's degree in ECE. Before joining CMU, Malhar worked with Accenture in the field of Big Data Analytics. During summer of 2017, he interned with Oracle in the Public Cloud team focusing on provisioning cloud storage devices for enterprise applications. He is currently working as a Post Graduate Research Assistant with a focus analyzing performance trade-offs in scalable Distributed Systems using coded computation schemes.