Ahmed Mohamed Abdelmoniem Sayed

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Research Scientist
Extreme Computing Research Center,
Computer, Electrical & Mathemtical Sciences & Engineering,
King Abdullah University of Science and Technology, Saudi Arabia

4th Floor, Building 1 (Elkhwarzimi)
King Abdullah University of Science and Technology,
Thuwal, Jeddah, Saudi Arabia
Phone: +966 120 8080630
Fax: +966 120 8080630
KAUST Email: ahmed.sayed [@] kaust [DOT] edu [DOT] sa
AUN Email: ahmedcs [@] aun [DOT] edu [DOT] eg
UST Email: amas [@] cse [DOT] ust [DOT] hk

Links: Home   CV   LinkedIn   Github   Blog   Disqus

About me

Currently, I am a Research Scientist at King Abdullah University of Science and Technology (KAUST) working along with Prof. Marco Canini in SANDS Lab. Formerly, I was Senior Researcher at Huawei's Future Network Research Lab and Assistant Professor at Faculty of Computers and Information, Assiut University. In 2017, I earned the Ph.D. degree in Computer Science and Engineering under the supervision of Prof. Brahim Bensaou from Hong Kong University of Science and Technology (HKUST) ([Ph.D. Thesis PDF]). I earned the B.S. and M.Sc. degrees in computer science from Faculty of Computers and Information, Assiut University (AUN), Egypt, in 2007 and 2012, respectively.

News

Please check the publications webpage for full list of the publications along with its PDF.

  1. [22-Jan-2021] Our paper “T-RACKs: A Faster Recovery Mechanism for TCP in Data Center Networks”, got accepted to the IEEE/ACM Transactions on Networking (ToN), 2021.

  2. [18-Jan-2021] Our paper “An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems” got accepted in International Conference on Machine Learning Systems (MLSys) 2021.

  3. [5-Dec-2020] Our paper “DC2: Delay-aware Compression Control for Distributed Machine Learning” got accepted in IEEE International Conference on Computer Communications (INFOCOM) 2021.

  4. [11-Oct-2020] Our paper “Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning” got accepted in DistributedML workshop of 16th International Conference on emerging Networking EXperiments and Technologies (CoNEXT20).

  5. [1-Jun-2020] Our paper “HWatch: Reducing Latency in Multi-Tenant Data Centers via Cautious Congestion Watch” got accepted in 49th ACM International Conference on Parallel Processing (ICPP20).

  6. [10-Nov-2019] Our paper “On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning”, got accepted in Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20).

  7. [28-Mar-2019] ProboSCIS, our Technique for Taming Latency in Data centers via Active Congestion-Probing Paper has been accepted by IEEE ICDCS 2019.

  8. [28-Mar-2019] Gurita, our Near Optimal Multi-Faced Job Scheduler for Datacenter Workloads Paper has been accepted by IEEE ICDCS 2019.

  9. [12-Feb-2019] Urnaus, our Congestion-proportionality among Slices based on Weighted Virtual Congestion Control Paper has been accepted by Computer Networks, Elsevier.

  10. [4-Feb-2019] STRIDE, our Single-Trip-time based Reliable Data Transport Protocol for the Reconfigurable Cloud Paper has been accepted to ICC 2019.

  11. [4-Feb-2019] Creek, our Inter Many-to-Many Coflows Scheduling for Datacenter Networks Paper has been accepted to ICC 2019.

  12. [30-Nov-2018] HSCC, our hysteresis-based control theory inspired mechanism has been accepted to INFOCOM 2019.

  13. [15-Nov-2018] FPGA Prototyping, our position paper to motivate and guide FPGA prototyping for network system research has been accepted to ITCE 2019.

  14. [30-Sep-2018] I have been officially elevated to Tenured Assistant Professor Rank at Faculty of Computers and Information, Assiut University.

  15. [30-Aug-2018] I have ended a one year of interesting industrial experience as Senior Researcher with Huawei's Future Networks Lab.