Assistant Teaching Professor in EECS at .

ranade@eecs.berkeley.edu

565 Cory Hall, Berkeley CA 94720

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.

Research

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

Selected Publications/Preprints

Inclusive Study Group Formation at Scale
Sumer Kohli*, Neelesh Ramachandran*, Ana Tudor*, Gloria Tumushabe*, Olivia Hsu, Gireeja Ranade
Preprint
*These authors contributed equally to the work
Stabilizability of Vector Systems with Uniform Actuation Unpredictability
Rahul Arya, Chih-Yuan Chiu, Gireeja Ranade
IEEE International Symposium on Information Theory 2021
Exact minimum number of bits to stabilize a linear system
Victoria Kostina, Yuval Peres, Gireeja Ranade and Mark Sellke
IEEE Transactions on Automatic Control 2021
Characterizing Search-Engine Traffic to Internet Research Agency Web Properties
Alexander Spangher, Gireeja Ranade, Adam Fourney, Besmira Nushi, Eric Horvitz
ACM The Web Conference 2020
When multiplicative noise stymies control
Jian Ding, Yuval Peres, Gireeja Ranade and Alex Zhai
The Annals of Applied Probability 2019

Other recent works

Learning a Neural-Network Controller for a Multiplicative Observation Noise System
Vignesh Subramanian, Moses Won, Gireeja Ranade
IEEE International Symposium on Information Theory 2020
Communication cost of consensus for nodes with limited memory
Giulia Fanti, Nina Holden, Gireeja Ranade, Yuval Peres
Proceedings of the National Academy of Sciences 2020
Too many fairness metrics, is there a solution?
Swati Gupta, Akhil Jalan, Gireeja Ranade, Helen Yang, Simon Zhuang
Mechanism Design for Social Good Workshop 2020
Ethics of Data Science Conference, 2020

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

Understanding Misinformation

Characterizing Search-Engine Traffic to Internet Research Agency Web Properties
Alexander Spangher, Gireeja Ranade, Adam Fourney, Besmira Nushi, Eric Horvitz
The Web Conference, 2020
Analysis of Strategy and Spread of Russia-sponsored Content in the US in 2017
Alexander Spangher, Gireeja Ranade, Adam Fourney, Besmira Nushi, Eric Horvitz
The Web Conference, 2020
Characterizing the Internet Research Agency's Social Media Operations During the 2016 U.S. Presidential Election using Linguistic Analyses
Ryan Boyd, Alexander Spangher, Adam Fourney, Besmira Nushi, Gireeja Ranade, James Pennebaker, Eric Horvitz
Geographic and Temporal Trends of Fake News Consumption during the 2016 US Presidential Election
Adam Fourney*, Miklos Racz*, Gireeja Ranade*, Markus Mobius, Eric Horvitz
ACM International Conference on Information and Knowledge Management (CIKM) 2017
*These authors contributed equally to the work

Information and control theory

When multiplicative noise stymies control
Jian Ding, Yuval Peres, Gireeja Ranade and Alex Zhai
The Annals of Applied Probability 2019
Control Capacity
Gireeja Ranade and Anant Sahai
IEEE Transactions on Information Theory, 2018
On the Value of Spatiotemporal Information: Principles and Scenarios
Heba Aly, John Krumm, Gireeja Ranade and Eric Horvitz
ACM SIGSPATIAL 2018 (Best-paper Runner-up)
Exact minimum number of bits to stabilize a linear system
Victoria Kostina, Yuval Peres, Gireeja Ranade and Mark Sellke
IEEE CDC 2018
Stabilizing a linear system using phone calls
Mohammad Javad Khojasteh, Massimo Franceschetti, Gireeja Ranade
IEEE CDC 2018
Stabilizing a system with unbounded random gain using only a finite number of bits
Victoria Kostina, Yuval Peres, Gireeja Ranade and Mark Sellke
IEEE ISIT 2018
Rate-limited control of systems with uncertain gain
Victoria Kostina, Yuval Peres, Miklos Racz and Gireeja Ranade
Allerton Conference on Communication, Control and Computing 2016
Control with actuation anticipation
Ena Hariyoshi, Gireeja Ranade and Anant Sahai
IEEE Conference on Decision and Control 2016
A tiger by the tail: when multiplicative noise stymies control
Jian Ding, Yuval Peres and Gireeja Ranade,
IEEE International Symposium on Information Theory (ISIT) 2016

My talk describing the main ideas in the paper at MSR Theory Day.
Control with side information
Gireeja Ranade and Anant Sahai
IEEE Indian Control Conference 2016
Vector control systems with unpredictable actuation
Ena Hariyoshi, Gireeja Ranade and Anant Sahai
Allerton Conference on Communication, Control and Computing 2015
Control Capacity
Gireeja Ranade and Anant Sahai
IEEE International Symposium on Information Theory (ISIT) 2015
Side-information in control and estimation
Govind Ramnarayan, Gireeja Ranade and Anant Sahai
IEEE International Symposium on Information Theory (ISIT) 2014
Non-coherence in estimation and control
Gireeja Ranade and Anant Sahai
Allerton Conference on Communication, Control and Computing 2013
Comments on unknown channels
Kristen Woyach, Kate Harrison, Gireeja Ranade and Anant Sahai
Information Theory Workshop (ITW) 2012
Carry free models and beyond
Se Yong Park, Gireeja Ranade and Anant Sahai
IEEE International Symposium on Information Theory (ISIT) 2012
Implicit communication in multiple access settings
Gireeja Ranade and Anant Sahai
IEEE International Symposium on Information Theory (ISIT) 2011

Protocol design for wireless control

Wireless Channel Dynamics and Robustness for Ultra-Reliable Low-Latency Communications
Vasuki Narasimha Swamy, Paul Rigge, Gireeja Ranade, Borivoje Nikolic, Anant Sahai
IEEE JSAC Special Issue on Ultra-Reliable Low-Latency Communications in Wireless Networks
Finite block length coding for low-latency high-reliability wireless communication
Leah Dickstein, Vasuki Narasimha Swamy, Gireeja Ranade, and Anant Sahai
Allerton Conference on Communication, Control and Computing 2016
Robustness of cooperative communication schemes to channel models
Vasuki Narasimha Swamy, Gireeja Ranade, and Anant Sahai
IEEE International Symposium on Information Theory (ISIT) 2016
Network coding for low-latency high-reliability wireless control
Vasuki Narasimha Swamy, Paul Rigge, Matt Weiner, Gireeja Ranade, Anant Sahai, Bora Nikolic
IEEE Wireless Communications and Networking Conference (WCNC) Workshop on the Tactile Internet : Enabling Technologies and Applications, 2016
Cooperative communication for low-latency high-reliability wireless control
Vasuki Narasimha Swamy, Sahaana Suri, Paul Rigge, Matt Weiner, Gireeja Ranade, Anant Sahai, Bora Nikolic
IEEE International Conference on Communications (ICC) 2015
Real-time Cooperative Communication for Control over Wireless
Vasuki Narasimha Swamy, Sahaana Suri, Paul Rigge, Matt Weiner, Gireeja Ranade, Anant Sahai, Bora Nikolic
IEEE Transactions on Wireless Communications, 2016

Safety and Control

Verifying Controllers Against Adversarial Examples with Bayesian Optimization
Shromona Ghosh, Felix Berkenkamp, Gireeja Ranade, Shaz Qadeer, Ashish Kapoor
ICRA 2018
Data-driven Planning via Imitation Learning
Sanjiban Choudhury, Mohak Bhardwaj, Sankalp Arora, Ashish Kapoor, Gireeja Ranade, Sebastian Scherer, Debadeepta Dey
International Journal of Robotics Research 2018
Adaptive Information Gathering via Imitation Learning
Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian Scherer, Debadeepta Dey
RSS 2017
Learning to gather information via Imitation
Sanjiban Chowdhury, Ashish Kapoor, Gireeja Ranade and Debadeepta Dey
ICRA 2016
No-regret replanning under uncertainty
Wen Sun, Niteesh Sood, Debadeepta Dey, Gireeja Ranade, Siddharth Prakash and Ashish Kapoor
ICRA 2016

Crowdsourcing

To crowdsource or not to crowdsource?
Gireeja Ranade and Lav R. Varshney
4th Human Computation Workshop, AAAI 2012

For a fun description, read our blog post on Follow the Crowd!
Worker information in crowdsourcing contest design
Gireeja Ranade, and Lav R. Varshney
Book Chapter, submitted 2015.

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

LFP beta power predicts cursor stationarity in BMI Task
Gireeja Ranade, Karunesh Ganguly, and Jose Carmena
Proceedings of the 4th International IEEE EMBS Conference on Neural Engineering, 2009
Cortical representation of ipsilateral arm movements in monkey and man
Karunesh Ganguly, Lavi Secundo, Gireeja Ranade, Amy Orsborn, Edward Chang, Dragan Dimitrov, Jonathan Wallis, Nicholas Barbaro, Robert Knight and Jose Carmena
Journal of Neuroscience, 2009

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

Theses

Active systems with uncertain parameters: an information-theoretic perspective
PhD Dissertation, UC Berkeley, 2014
Information content in the local field potential: implications for brain-machine interfaces
Masters Thesis, UC Berkeley, 2009

Teaching

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
EECS 16A: Designing Information Devices and Systems
(A more descriptive title might be: "Linear Algebraic Foundations for Machine Learning and Design")
UC Berkeley Spring 2015 (Pilot), Fall 2018, Fall 2019, Fall 2020
Link to lecture videos from pilot offering Spring 2015
Publicly available Fall 2019 webcasts (click webcast in lecture schedule to access).
Recorded lecture videos for EECS 16A from Fall 2018 and Fall 2019 are also available here. Webcasts from other semseters are hidden by Berkeley due to captioning requirements.
EECS 16B: Designing Information Devices and Systems II
UC Berkeley, Spring 2021

In addition, I have heavily invested in EECS127/227A the upper-division/first-year grad level optimization class.
EECS127/227A: Optimization
UC Berkeley, Spring 2019, Spring 2020.

Beyond this, I have been involved in the development and instruction of other classes.
Data Science 102: Data, Inference and Decisions
Helped design and instruct the pilot version with Mike Jordan, Fernando Perez and others
UC Berkeley, Fall 2019.
CS 24/EE 98: Transitioning to EECS/CS/DS and related majors at UC Berkeley
A new class introduced during the pandemic to help ease the transition for incoming students to computing-related majors at UC Berkeley
UC Berkeley, Fall 2020.

As a graduate student, I was also heavily involved in teaching multiple courses.
CS 70: Discrete Math and Probability
Guest lecturer, approx. 500 student lower division class
UC Berkeley, Spring 2014, Fall 2014.
EE 126: Probability and Random Processes
Graduate Student Instructor
UC Berkeley, Fall 2012
EE 229A: Information Theory and Coding
Guest Lecturer
UC Berkeley, Fall 2014

Recorded Talks

Group

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

CalMentors

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: https://sites.google.com/view/calmentors/

Etc.