I am an assistant professor in the department of ECE at UT Austin.
I am a Cloud Computing Systems researcher, with a strong background in Machine Learning (ML). Most of my research straddles the boundaries of Systems and ML. Advances in systems, machine learning, and hardware architectures are about to launch a new era in which we can use the entire cloud as a computer. New ML techniques are being developed for solving complex resource management problems in systems. Similarly, systems research is getting influenced by properties of emerging ML algorithms, and evolving hardware architectures. Bridging these complementary fields, my research focuses on using and developing ML techniques for systems, and building systems for ML.
Previously, I spent a year working with the VMWare Research Group. Prior to that, I was a post-doctoral research fellow in the Computer Science Department at Stanford University, working with Christos Kozyrakis. I graduated with a PhD in Computer Science from the RISE Lab at University of California, Berkeley, working with Randy Katz and Joseph Gonzalez. My dissertation was on Automatic Resource Management in the Datacenter and the Cloud. Before starting my PhD, I received my masters in Computer Science from the Indian Institute of Science, Bangalore, India, and my bachelors from the Government College of Engineering, Pune.
In Spring 2023, I will be teaching a new grad class, SysML: Computer Systems and Machine Learning Interplay (link).
I am very fortunate to be working with the following exceptional graduate students!
I am also working closely with the following amazing graduate students:
- Bodun Hu (PhD) (Advised by Aditya Akella)
- Le Xu (Postdoc) (Advised by Aditya Akella)
- Prateek Sahu (PhD) (Advised by Mohit Tiwari)
- Shijia Wei (PhD) (Advised by Mohit Tiwari)