Shirin Saeedi Bidokhti

I am an assistant professor in the Department of Electrical and Systems Engineering (ESE ), with a secondary appointment in the Department of Computer and Information Systems (CIS ). I am an affiliate of the Warren Center for Network and Data Sciences. I received my M.Sc. and Ph.D. degrees in Computer and Communication Sciences from the Swiss Federal Institute of Technology (EPFL). Before joining UPenn, I was a postdoctoral fellow at Stanford University and Technical University of Munich. I have also held visiting researcher positions at Pennsylvania State University, ETH Zurich, and University of California at Los Angeles.

My research interests include information theory, networking, Internet of Things, and machine learning.

Curriculum Vitae
Bio

NEWS

(December 2023) Check out our paper titled "Protect or prevent? A practicable framework for the dilemmas of COVID-19 vaccine prioritization", on MedRxiv
(July 2023) Check out our paper titled "Text + Sketch: Image Compression at Ultra Low Rates", presented at ICML (workshop on Neural Compression)
(July 2023) Check out our paper titled "Compression with Unlabeled Graph Side Information", to be presented at ISIT 2023
(July 2023) Check out our paper titled ``Capturing COVID-19 spread and interplay with multi-hop contact tracing intervention", accepted in PLOS ONE
(June 2023) Check out our paper titled "On a Relation Between Rate-Distortion Theory and Optimal Transport", accepted in ICLR (Tiny Papers)
(May 2023) Honored to be a recipient of the 2023 IEEE Communications Society & Information Theory Society Joint Paper Award for our paper "Age of Information in Random Access Channels," IEEE Transactions on Information Theory, Vol. 68, No. 10, pp. 6548-6568, October 2022, along with Xingran Chen, Konstantinos Gatsis, and Hamed Hassani.
(May 2023) Check out our paper titled "Federated Neural Compression Under Heterogeneous Data", to be presented at ISIT 2023
(March 2023) Check out our paper titled ``Containing a spread through sequential learning: to exploit or to explore?" accepted in Transactions on Machine Learning Research
(February 2023) Check out Penn Engineering Today's story "Ask Like an Expert: What Can Network Theory Offer Public Health?" by Devorah Fischler
(February 2023) Co-organizing the 2023 North American School of Information Theory at Penn (June 19-June 23)!
(February 2023) Giving an invited talk at ITA on Compression with Unlabeled Graph Compression
(December 2022) Check out our paper titled ``Optimal Capacity-Constrained COVID-19 Vaccination for Heterogeneous Populations" presented at CDC 2022
(October 2022) Check out our paper titled ``Tracing and testing multiple generations of contacts to COVID-19 cases: cost?benefit trade-offs" published in Royal Society Open Science
(September 2022) Welcome to Berkay Uslu!
(August 2022) Check out our poster titled ``Minimizing COVID-19 Mortality Through Smart Immunization in Capacity Limited Settings" to be presented at ICEID, Centers for Disease Control and Prevention
(April 2022) Check out our paper titled ``Neural Estimation of the Rate-Distortion Function for Massive Datasets" to be presented at ISIT 2022
(April 2022) Check out our paper titled ``Group Testing With Correlation via Edge-FaultyGraphs" to be presented at ISIT 2022
(April 2022) Check out our paper titled ``Bounds on the Capacity of the Multiple Access Diamond Channel With Cooperating Base-Stations" to be presented at ISIT 2022
(January 2022) Check out our paper titled ``Group Testing with Correlation under Edge-Faulty Graphs" submitted on arXiv
(January 2022) Teaching Information Theory in Spring 2022.
(December 2021) Honored to be selected as the 2022 Goldsmith Lecturer.
(August 2021) Penn Engineering Today's story by Melissa Pappas on my CAREER award
(August 2021) Teaching Stochastic Systems Analysis and Simulations in Fall 2021.
(August 2021) Welcome to Hesam Nikpey and Xiaohan Zhang!
(July 2021) Check out our paper titled ``Out-of-distribution robustness in deep learning compression" selected a one of the four contributed talks at ITR3@ICML 2021
(July 2021) Penn Engineers Help Launch TILOS, a New NSF Artificial Intelligence Research Institute Focused on Optimization (check out Penn Engineering Today's story by Evan Lerner)
(July 2021) Check out our paper titled ``On the Timeliness of Arithmetic Coding" presented at ISIT2021
(July 2021) Check out our paper titled ``Timely Broadcasting in Erasure Networks: Age-Rate Tradeoffs" presented at ISIT2021
(May 2021) Check out our paper titled ``Real-time sampling and estimation on random access channels: Age of Information and Beyond" presented at INFOCOM 2021
(January 2021) NSF CAREER Award

(October 2020) Check out our paper on Tracing and testing the COVID-19 contact chain: cost-benefit tradeoffs
(August 2020) Teaching Stochastic Systems Analysis and Simulations in Fall 2020.
(August 2020) Welcome to Raghu Arghal and Eric Lei!
(June 2020) Check out our paper on ``Age of Information in Random Access Channels" presented at ISIT 2020
(January 2020) Teaching Information Theory in Spring 2020.
(August 2019) Teaching Information Freshness in Networks in Fall 2019.
(August 2019) Check out our paper titled ``Benefits of Coding on Age of Information in Broadcast Networks" accepted in ITW 2019
(July 2019) Check out our paper titled ``Non-asymptotic Coded Slotted ALOHA" presented at ISIT 2019
(June 2019) Collaborative research project "Attaining the New Frontier of Spectral Efficiency with Tradeoffs in Computation Through Cloud Radio Access Networks" funded by NSF-CNS.
(December 2018) Received the NSF-CCF CISE Research Initiative (NSF-CRII) award for the project "Practical and Timely Coded Caching for Dynamic. and Volatile Networks" (more information here ).
(July 2019) Check out our paper titled ``Benefits of cache assignment on degraded broadcast channels" published in Transactions on Information Theory
(November 2018) Check out our paper titled ``Improved converses and gap-results for coded caching" published in Transactions on Information Theory
(August 2018) Welcome to Xingran Chen!
(July 2018) Check out our paper titled ``Capacity regions of two-user broadcast erasure channels with feedback and memory" published in Transactions on Information Theory
(June 2018) Check out our paper titled ``On Universal Compression with Constant Random Access" presented at ISIT 2018
(May 2018) Check out our paper titled ``Noisy broadcast networks with receiver caching" published in Transactions on Information Theory
(March 2018) Check out our paper titled ``A rate-distortion approach to caching" published in Transactions on Information Theory
(October 2017) Check out our paper titled ``State-adaptive caching for symmetric broadcast channels" presented at Asilomar 2017
(November 2017) Check out our paper titled ``Capacity bounds on the downlink of symmetric, multi-relay, single receiver C-RAN networks" published as a Feature Paper in Entropy (special issue on Network Information Theory)

Contact

In person :	Walnut 3401, Room 455C
Phone :	215-573-2225
email :	saeedi@seas.upenn.edu