Portrait of Gireeja Ranade

Gireeja Ranade

Postdoc Researcher

About

I’m a postdoc at Microsoft Research working with the Theory Group and the Adaptive Systems and Interaction Group. I received my PhD in EECS from UC Berkeley in 2014 and my SB from MIT in 2007. I’m interested in many things including but not limited to information theory, control, wireless communication, robotics and autonomous navigation, and crowdsourcing.

I received my PhD in Electrical Engineering and Computer Science from UC Berkeley, where my advisor was Anant Sahai. I am interested in information and control theory, wireless communications, crowdsourcing, brain-machine interfaces, EECS education and many other things.

In Spring 2015, I was a Lecturer in the EECS department at UC Berkeley, designing and teaching the new first-year classes EECS16A and EECS16B.

Before my PhD, I was lucky to work with Jose Carmena at UC Berkeley for my MS, and I had a wonderful UROP experience in George Verghese’s group as an undergrad at MIT.

Projects

ProjecToR: Agile Reconfigurable Data Center Interconnect

ProjecToR is a novel, free-space optics based approach for building data center interconnects. It uses a digital micromirror device (DMD) and mirror assembly combination as a transmitter and a photodetector on top of the rack as a receiver. Our approach enables all pairs of racks to establish direct links, and we can reconfigure such links (i.e., connect different rack pairs) within 12 µs. To carry traffic from a source to a destination rack, transmitters and…

Publications

2016

2015

2014

2013

2012

2009

2001

Projects

Other

Research

Theses

Information and control theory

Protocol design for wireless control

Crowdsourcing

For a fun description, read our blog post on Follow the Crowd!

Programmable optical networks for datacenters

  • ProjecToR: Agile Reconfigurable Datacenter Interconnect Monia Ghobadi, Ratul Mahajan, Amar Phanishayee, H. Rastegarfar, P. Blanche, M. Glick, D. Kilper, Janardhan Kulkarni, Gireeja Ranade, and Nikhil Devanur ACM SIGCOMM 2016

Neuroscience and brain-machine interfaces

Cardiovascular Modeling and Prediction

  • Model Based Estimation of Cardiac Output and Total Peripheral Resistance Tushar A. Parlikar, Thomas Heldt, Gireeja Ranade and George Verghese Computers in Cardiology, October 2007
  • Model-based Estimation of Cardiac Output and Systemic Vascular Resistance Tushar A. Parlikar, Thomas Heldt, Gireeja Ranade, and George Verghese U.S. Patent 2008/027812 A1, Nov. 20, 2008

Economics

Teaching

Classes

Undergraduate mentoring

Etc.