Derya Malak, PhD
EURECOM - Communication Systems Department
Bureau n° 333
deryamalak@gmail.com
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I am an Assistant Professor (Maître de Conférence) at EURECOM. I also have an adjunct position in the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute. Previously, I was a Postdoctoral Associate at the Massachusetts Institute of Technology from Sep 2017 to Aug 2019, working with Prof. Muriel Médard. I was also a visiting scholar at Northeastern University, hosted by Prof. Edmund Yeh. I received a Ph.D. in Electrical and Computer Engineering at the University of Texas at Austin in Aug 2017, where I was affiliated with the Wireless Networking & Communications Group (WNCG). My Ph.D. advisor was Prof. Jeffrey G. Andrews. I received an M.S. at Koc University, Istanbul, Turkey, in Feb 2013 where I was advised by Prof. Ozgur B. Akan, and a BS at Middle East Technical University (METU), Ankara, Turkey, in Jun 2010, both in Electrical and Electronics Engineering. I have a minor in Physics from METU.
Candidates: I have an ERC-funded Ph.D. opening (PhD call) in my group. If you are interested in the theory and practice of communications, networks, and information theory, please read the calls first, then schedule a meeting with me.
Teaching: Information Theory, Spring 2023, 2024, 2025.
I did not teach from Sept. 2021 to Jan. 2022.
At RPI, I taught Digital Communications and Digital Signal Processing from Sept. 2019 to June 2021.
Office Hours: Anytime, please send me an email.
Research Meetings: I am intrigued with the concepts at the intersection of information theory and computing. If you find my work interesting/want to collaborate, you can send me an email anytime. I am happy to work with like minded researchers.
FASS Student Seminar Series: The seminar schedule is available here.
PROGRAMS THAT HAVE FUNDED OUR RESEARCH
The European Research Council (ERC) (link to my project page SENSIBILITÉ),
NEWS
Jul'25- We are organizing the second edition of the Workshop on Distributed Computing, Optimization & Learning, September 3-5, 2025 (itsoc events). If you are interested in submitting a poster, see the WDCL Call for Posters.
Oct'24- An interview for the PEPR networks of the future project.
Mar'24- We are organizing a Workshop on Distributed Computing, Optimization & Learning, May 2024.
Feb'24- I will give a tutorial at SPAWC 2024, Sep. 2024 (tutorial slides in pdf).
Jan'24- I am serving as the TPC Co-Chair for IEEE WiOpt 2024 (to be held in Seoul, South Korea, October 21-24, 2024). The deadline for paper submission is June 15, 2024.
Aug'23- We are honored to receive the best paper award in the 21st International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt 2023). (pdf, codes thanks to Yuanyuan Li, news)
Nov'22- I am honored to be awarded the ERC Starting Grant for my project SENSIBILITÉ at the intersection of computation and information theory (read our blog).
Sep'22- I am honored to receive the best paper award in the 20th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt 2022). (pdf)
May'22- I am organizing a student seminar series called FASS.
Aug'21- I moved to France.
May'21- Congratulations Aiden Chen on being a 2021 recipient of the Harold N. Trevett Award.
March'21- CFP for Caching, Computing and Delivery in Wireless Networks Workshop (CCDWN) as part of Wiopt 2021.
February'21- We are organizing a IEEE JSAIT issue on Coding for Data Management and Delivery in Networks (Deadline for submissions extended to 15 May 2021).
May'20- I am organizing an Entropy Special Issue on Distributed Signal Processing for Coding and Information Theory (Deadline for submissions: 15 June 2021). Please consider submitting your work.
September'19- I was quite fortunate to be a part of 7th Heidelberg Laureate Forum, Heidelberg, Germany.
June-July '19- I visited INRIA and LINCS, Paris, France (honored to be hosted by Prof. François Baccelli).
My research interests are in the area of information theory, communication theory and networks:
Distributed computing, source compression, and learning
Feedback in communications
Negative association and strong Rayleigh measures
Stochastic modeling of content caching
Resource optimization in networks
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