Arsany Guirguis

Arsany Guirguis

Senior Research Scientist

Bloomberg LP

I am a senior research scientist at Bloomberg AI. Prior to that, I obtained a Ph.D. in Computer Science from École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland. At EPFL, I worked in the Distributed Computing Lab (DCL) under the supervision of Prof. Rachid Guerraoui. My research interests include distributed machine learning, communication efficiency, and fault tolerance. In particular, I am interested in building scalable and trustworthy distributed machine learning systems.

Prior to joining EPFL, I received my Bachelor’s and Master’s Degree from Alexandria University in Egypt in July 2014 and January 2017 respectively. I graduated with “Distinction with Honor”, and I ranked first in my class. Back then, I worked as a Research Assistant at the Computer and Systems Engineering Department, Alexandria University, Egypt under the supervision of Prof. Moustafa Youssef and Prof. Mustafa ElNainay.

Interests

  • Machine Learning
  • Distributed Systems
  • Byzantine Resilience
  • Communication

Education

  • Ph.D. in Computer Science, 2017 - 2022

    École Polytechnique Fédérale de Lausanne (EPFL)

  • M.Sc. in Computer Engineering, 2014 - 2017

    Alexandria University

  • B.Sc. in Computer Engineering, 2009 - 2014

    Alexandria University

Publications

(2022). Genuinely Distributed Byzantine Machine Learning (extended version). DC 2022.

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(2021). Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning). NeurIPS 2021.

PDF Code Poster

(2021). GARFIELD: System Support for Byzantine Machine Learning (Regular Paper). DSN 2021.

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(2020). FeGAN: Scaling Distributed GANs. Middleware 2020.

PDF Code Video DOI

(2020). Genuinely Distributed Byzantine Machine Learning. PODC 2020.

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(2019). Aggregathor: Byzantine Machine Learning via Robust Gradient Aggregation. MLSys 2019.

PDF Code Poster Video

(2018). Cooperation-based Multi-hop Routing Protocol for Cognitive Radio Networks. JNCA Volume 110, 15 May 2018, Pages 27-42.

PDF Slides DOI

(2018). Primary User-Aware Optimal Discovery Routing for Cognitive Radio Networks. TMC (Volume: 18, Issue: 1, Jan. 1 2019).

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(2016). CRC: Collaborative Research and Teaching Testbed for Wireless Communications and Networks. WiNTECH 2016.

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(2016). Cost-Effective Data Transfer for Mobile Health Care. IEEE Systems Journal ( Volume: 11, Issue: 4, Dec. 2017).

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(2015). Primary User Aware k-Hop Routing for Cognitive Radio Networks. GLOBECOM 2015.

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(2014). Primary User-aware Network Coding for Multi-hop Cognitive Radio Networks. GLOBECOOM 2014.

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Experience

 
 
 
 
 

Senior Research Scientist

Bloomberg LP

Mar 2023 – Present London, UK
 
 
 
 
 

Software Engineer

Meta

Oct 2022 – Feb 2023 London, UK
 
 
 
 
 

Research Intern

Bloomberg LP

May 2021 – Aug 2021 London, UK
 
 
 
 
 

Ph.D. Visiting Researcher

Huawei Technologies Research Center

Feb 2021 – Apr 2021 Munich, Germany
 
 
 
 
 

Visiting Scholar

INRIA

Jul 2019 – Sep 2019 Rennes, France
Designed and built a scalable system for distributed Generative Adversarial Networks (GANs). The work continued at EPFL and led to the FeGAN paper.
 
 
 
 
 

Teaching Assistant

Alexandria Universiry

Sep 2014 – Aug 2017 Alexandria, Egypt
  • Duties included shared responsibility for lectures, exams, homework assign-ments, grading, office hours and leading weekly computer lab exercises.
  • Taught courses include (all for undergraduates) Introduction to Programming, Computer Networks, Operations Research, and Modern Control Systems.
 
 
 
 
 

Research Scientist

Alexandria Universiry

Aug 2014 – May 2017 Alexandria, Egypt
  • Designed and implemented open-access testbed for Cognitive Radio Networks to be available for educational and research purposes. The work led to the CRC testbed.
  • Designed and implemented new routing protocols for Cognitive Networks. The work led to numerous research papers in different conferences and journals.
 
 
 
 
 

Undergraduate Research Intern

Egypt-Japan University of Science and Technology (E-JUST)

Jul 2013 – Sep 2013 Alexandria, Egypt
Designed and implemented a network coding flavored forwarding algorithm forCognitive Radio Networks. This work was published in GLOBECOM 2014.
 
 
 
 
 

Undergraduate Research Intern

Egypt-Japan University of Science and Technology (E-JUST)

Jul 2012 – Sep 2012 Alexandria, Egypt
Implemented a routing protocol (SEARCH) for Cognitive Radio Networks overClick Modular Router. This work was a part of the CogFrame project.

Awards

  • EDIC Ph.D. fellowship, EPFL, September 2017.
  • University fund winner to attend IEEE ICNC, Alexandria University, October 2016.
  • Runner-up for best teaching assistant award, Alexandria University, April 2016.
  • Prof. Khalil award for ranking first on Computer and Systems Engineering Department, Alexandria University, August 2014.
  • Best Graduation Project award, Alexandria University, July 2014.
  • Graduation Project fund winner, Microsoft Research Advanced Technology Lab Cairo, December 2013.

Teaching

I have been a teaching assistant for the following EPFL courses:

I have supervised 1 Ph.D. student, 1 M.Sc. thesis, 2 M.Sc. semester projects, and 2 interns at EPFL.

I have been a teaching assistant for the following Alexandria University courses:

  • Introduction to programming (fall 2014, fall 2015, fall 2016)

  • Computer Networks (fall 2014, fall 2015, fall 2016)

  • Operations Research (spring 2015, spring 2016, spring 2017)

I have supervised 3 interns at Alexandria University.