Bhavana Mehta

Bhavana Mehta

Ph.D. Candidate · University of Pennsylvania

Distributed Systems · Adaptive Databases · ML for Infrastructure

Looking for full-time opportunities in 2025! Email me at bhavanam@upenn.edu

About

I am a Ph.D. candidate in Computer & Information Science at the University of Pennsylvania, advised by Prof. Boon Thau Loo and co-advised by Prof. Mohammad Javad Amiri. I also collaborate closely with Prof. Ryan Marcus on adaptive data management and distributed learning systems.

My research focuses on adaptive distributed databases, intelligent blockchains, and machine learning for systems. I have also worked on TCP migration and infrastructure projects at UPenn and Microsoft Research.

Research Interests

My research interests span distributed systems, machine learning for systems, and Byzantine fault tolerance:

Selected Publications

View Full Publication List Google Scholar

Experience

Research Assistant

2019 - Present

University of Pennsylvania

  • Conducting research in adaptive distributed databases and machine learning for systems.
  • Worked on TCP migration projects in collaboration with Microsoft Research.

Teaching Assistant

2020 - 2024

University of Pennsylvania

  • CIS 471: Computer Architecture (Instructor: Joe Devietti)
  • CIS 548: Operating Systems (Instructor: Boon Thau Loo)

Undergraduate Research Assistant

2015 - 2018

Nirma Institute of Technology

  • Research in embedded systems, IoT optimization, and human action recognition using deep learning.

Research Intern

Summer 2017

RISE Lab, IIT Madras

  • Worked on FPGA-based high-speed divider architectures (radix-4 SRT dividers).

Design Engineer

2018 - 2019

Bluespec Inc.

  • Architected and optimized RISC-V cores with a focus on pipelining and timing closure.
  • Automated deployment of hardware cores from high-level specifications
  • Developed testing frameworks for hardware validation