Gal Mendelson
News
January 2023: I joined the Faculty of Data and Decision Sciences in the Technion, Israel!
June 2022: Participated in the full time Stanford Graduate School of Business Ignite entrepreneurship program!
June 2022: Honored to have served in the judging committee of the Informs Applied Probability Best Student Paper award!
About me
I am an Assistant Professor in the Faculty of Data and Decision Sciences in the Technion, Israel.
I received my PhD in Electrical Engineering from the Technion, Israel Institute of Technology on March 2020 under the supervision of Prof. Rami Atar and Prof. Isaac Keslassy. I am currently a Postdoc researcher in Stanford Graduate School of Business working with Prof. Kuang Xu.
My research interests include:
Reaction to and Detection of Abrupt Changes
Probabilistic Methods in Data Science and Machine Learning
Resource Utilization in Communication Networks and service systems
Queueing Theory and Stochastic Processes
Contact: galmen [at] technion [dot] ac [dot] il
Publications
CARE: Resource Allocation Using Sparse Communication (arXiv), preprint, 2022
Gal Mendelson, Kuang Xu
Principles for statistical analysis in dynamic service systems (link), preprint, 2022
Gal Mendelson, Kuang Xu
EDEN: Communication-Efficient Federated Learning via Robust Distributed Mean Estimation (arXiv), Accepted to ICML, 2022
Shay Vargaftik, Ran Ben Basat, Amit Portnoy, Gal Mendelson, Yaniv Ben-Itzhak, Michael Mitzenmacher
Load Balancing with JET: Just Enough Tracking for Connection Consistency, Accepted to CoNEXT, 2021
Gal Mendelson, Shay Vargaftik, Katherine Barabash, Dean Lorentz, Isaac Keslassy and Ariel Orda
DRIVE: One-bit Distributed Mean Estimation, Accepted to NeurIPS, 2021
Shay Vargaftik, Ran Ben Basat, Amit Portnoy, Gal Mendelson, Yaniv Ben-Itzhak, Michael Mitzenmacher
On the Persistent-Idle Load Distribution Policy Under Batch Arrivals and Random Service Capacity (link), Preprint
Rami Atar, Isaac Keslassy, Gal Mendelson, Ariel Orda and Shay Vargaftik
A Lower Bound on the Stability Region of Redundancy-d with FIFO Service Discipline (link), Operations Research Letters, 2021
Gal Mendelson
AnchorHash: A Scalable Consistent Hash (link), IEEE Transactions on Networking, 2020
Gal Mendelson, Shay Vargaftik, Katherine Barabash, Dean Lorentz, Isaac Keslassy and Ariel Orda
Persistent-Idle Load-Distribution, Stochastic Systems, 2020
Rami Atar, Isaac Keslassy, Gal Mendelson, Ariel Orda and Shay Vargaftik
Sub-Diffusive Load-Balancing in Time-Varying Queueing Systems (link), Operations Research, 2019
Rami Atar, Isaac Keslassy and Gal Mendelson
Replicate to the Shortest Queue (link), Queueing Systems, 2019
Rami Atar, Isaac Keslassy and Gal Mendelson
drmt: Disaggregated Programable Switching (link), SIGCOMM, 2017
Sharad Chole, Andy Fingerhut, Sha Ma, Anirudh Sivaraman, Shay Vargaftik, Alon Berger, Gal Mendelson, Mohammad Alizadeh, Shang-Tse Chuang, Isaac Keslassy, Ariel Orda and Tom Edsall
On the Non-Markovian Multiclass Queue with Risk Sensitive Cost (link), Queueing Systems, 2016
Rami Atar, Gal Mendelson
Awards
2020: Fulbright Postdoctoral Scholarship
2020: Honorable mention: The George B. Dantzig Dissertation award, INFORMS
2019: Applied Probability Society best student paper award for "Sub-Diffusive Load-Balancing in Time-Varying Queueing Systems", INFORMS
2019: The Joseph Perl prize for excellent research in communication systems
2017-2020: Hasso Plattner Institute Ph.D. Scholarship
2008-9, 2015, 2020: Excellent Teaching Award
Patents
2021: Routing for the Fixed Matchings Switch. Filed.
2020: Fast, low memory, consistent hash using an initial distribution (link)
U.S. Patent No. 10,540,207.
Academic Service
On the judging committee of the Informs Applied Probability Best Student Paper Award (2022,2023)
Mathematics of Operations Research: Reviewer (3)
Operations Research: Reviewer (3)
Queueing Systems: Reviewer (2)
European Journal of Operations Research: Reviewer (1)
ACM Transactions on Internet of Things: Reviewer (1)
Teaching
Current:
Spring 2023: Service Engineering, Data and Decision Sciences, Technion
Past:
Graduate level courses:
2017, 2018: Stochastic processes and applications, Industrial Engineering and Management, Technion
2016, 2017: Foundations of stochastic processes, Electrical Engineering, Technion
Undergraduate level courses:
2016-2019: Random signals, Electrical Engineering, Technion
2016-2019: Introductory project in EE, Electrical Engineering, Technion
2008-9, 2015: Probability, Algebra 1, Calculus 1 and 2, Ordinary diff. eq., Partial diff. eq., Mathematics, Technion
Industry Experience
2020: Nvidia (Mellanox), Israel, researcher. Scheduling in optical circuit switching networks and routing in expander based topologies
2018: IBM research, Israel, internship. Using alarm data to predict network failures
2017: IBM research, Israel, internship. Hash based data center load balancing.