Bio: Before joining the faculty at UC Berkeley, Prof. Ranade was a Researcher at Microsoft Research AI in the Adaptive Systems and Interaction Group. She also designed and taught the first offering for the new course sequence EECS16A and EECS16B in the EECS department at UC Berkeley and received the 2017 UC Berkeley Electrical Engineering Award for Outstanding Teaching. She was also awarded the 2020 UC Berkeley award for Extraordinary Teaching in Extraordinary Times. Prof. Ranade received her PhD in Electrical Engineering and Computer Science from the University of California, Berkeley, and her undergraduate degree from MIT in Cambridge, MA.


I am thankful for the many wonderful collaborations that have led to the publications here.

Selected Publications/Preprints

Other recent works

(Most of) the rest of my publications are below, organized by subject. A more exahuastive list is at Google Scholar.

Understanding Misinformation

Information and control theory

Protocol design for wireless control

Safety and Control


Worker information in crowdsourcing contest design
Gireeja Ranade, and Lav R. Varshney
Book Chapter, submitted 2015.

Programmable optical networks for datacenters

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



I am the co-designer and an instructor for the new introductory EECS classes EECS 16AB. These classes provide a rigorous foundation in linear algebra with applications, while introducing students to machine learning, control, circuit design and signal processing.
Recorded lecture videos for EECS 16A from Fall 2018 and Fall 2019

In addition, I have heavily invested in EECS127/227A the upper-division/first-year grad level optimization class.

Beyond this, I have been involved in the development and instruction of other classes.

As a graduate student, I was also heavily involved in teaching multiple courses.

Recorded Talks


I've been very lucky to work with and learn from an amazing group of students.
Current group


School closures around the country during the COVID-19 pandemic have a negative impact on student learning and disproportionately impact those with fewer resources. It is important that we mitigate the impact of these closures, these have long-term impacts on the STEM pipeline.

CalMentors is a tutoring program we started which aims to help students navigate distance learning. UC Berkeley undergraduates will be matched with high-school and middle-school students and teachers to provide small group tutoring for students who might not have a parent or other adult at home who can help them with their schoolwork. See more at: