Dr Ahmed M. A. Sayed

Ahmed M. A. Sayed
Ph.D. of Comp Sci & Eng, DERI Fellow, FEHA

Senior Lecturer (Associate Professor)
Director of MSc Data Science Programme

School of Electronic Engineering and Computer Science
Queen Mary University of London
ORCID Google Scholar LinkedIn

Research

Federated Learning, Computer Networks, Distributed Systems, Machine Learning, Performance Evaluation & Optimisation

Interests

I lead SAYED Systems Group (https://sayed-sys-lab.github.io) in which we build Scalable, Advanced
Yet Efficient Distributed Systems of the Future. Our research spans inter-related disciplines of computer
science and engineering with a focus on system design and optimization for machine learning systems
(training and inference efficiency, distributed ML, federated learning), distributed systems (architecture
design, performance analysis, resource allocation, algorithmic optimization), computer networks (traffic
engineering, congestion control, performance optimization, software-defined networking), and wireless
networks (routing in mobile ad-hoc and wireless sensor networks). We work closely with the Networks
research group (https://networks.eecs.qmul.ac.uk/) at QMUL and various research groups in the UK
and worldwide. Our main research project is KUber (http://kuber.org.uk/) funded by UKRI-EPSRC.

Publications

solid heart iconPublications of specific relevance to the Centre for Networks, Communications and Systems

2024

bullet iconAbdelmoniem AM and Zhao Y (2024). Knowledge Routing in Decentralized Learning. IEEE Intelligent Systems, Institute of Electrical and Electronics Engineers (IEEE) vol. PP (99), 1-8.  
28-11-2024
Relevant PublicationAbdelmoniem AM, Jaber M, Anwar A, Zhang Y and Gao M (2024). Towards a Decentralized Collaborative Framework for Scalable Edge AI. Future Internet, MDPI vol. 16 (11) 
14-11-2024
bullet iconChen Q, Li H, You L, Qu H, Abdelmoniem AM and Yuen C (2024). AFML: An Asynchronous Federated Meta-Learning Mechanism for Charging Station Occupancy Prediction with Biased and Isolated Data. IEEE Transactions on Big Data, Institute of Electrical and Electronics Engineers (IEEE) vol. PP (99), 1-16.  
22-10-2024
bullet iconHuang C, Zhang T, Wang L, Xiao Y, Yang C, Tian C, Wang X, Zhang D, Yan B, Abdelmoniem AM, Dou W and Chen G (2024). MpScope: Enabling multi-pipeline monitoring inside a switch. Computer Networks, Elsevier vol. 254, 110764-110764.  
03-09-2024
bullet iconBhattacharjee S, Choudhury T and Abdelmoniem AM (2024). Data privacy and integrity in complex data. Convergence of Artificial Intelligence and Internet of Things for Industrial Automation  163-190.  
15-08-2024
bullet iconAbdelmoniem AM, Abdelmoniem YM and Bensaou B (2024). Design and Analysis of an Incast Mitigation System. 2024 International Telecommunications Conference (ITC-Egypt)
25-07-2024
Relevant PublicationLynch S, Abdelmoniem AM and Gill SS (2024). Centralised and Decentralised Fraud Detection Approaches in Federated Learning. Applications of AI for Interdisciplinary Research  205-217.  
22-07-2024
bullet iconLai HK, Abdelmoniem AM and Gill SS (2024). Federated Learning for the Predicting Household Financial Expenditure. Applications of AI for Interdisciplinary Research  141-156.  
22-07-2024
bullet iconPardeshi K, Gill SS and Abdelmoniem AM (2024). Stock Market Price Prediction: A Hybrid LSTM and Sequential Self-Attention-based Approach. Applications of AI for Interdisciplinary Research  122-140.  
22-07-2024
bullet iconSong P, Lee J, Abdelmoniem AM and Mukhanov L (2024). Do 5G Networks Achieve The Proclaimed Promises? An Empirical Study Using YouTube Edge Service. 2024 IEEE International Conference on Edge Computing and Communications (EDGE)
13-07-2024
bullet iconEsquivel JA, Aldous B, Abdelmoniem AM, Alhilal A and You L (2024). Performance Profiling of Federated Learning Across Heterogeneous Mobile Devices. 2024 IEEE 24th International Conference on Software Quality, Reliability, and Security Companion (QRS-C)
05-07-2024
bullet iconWang J, Guo X, Li Q, Abdelmoniem AM and Gao M (2024). SDANet: scale-deformation awareness network for crowd counting. Journal of Electronic Imaging, SPIE, the international society for optics and photonics vol. 33 (4), 043002-043002.  
01-07-2024
bullet iconZaeri K and Abdelmoniem AM (2024). EMPRN: Reinforcement Learning-based ECN Tuning Using Message Passing Graph Recurrent Networks for Datacenters. ICC 2024 - IEEE International Conference on Communications
13-06-2024
bullet iconSong W, Zeng X, Abdelmoniem AM, Zhang H and Gao M (2024). Cross-Modality Interaction Network for Medical Image Fusion. IEEE Transactions on Consumer Electronics, Institute of Electrical and Electronics Engineers (IEEE) vol. PP (99), 1-1.  
11-06-2024
bullet iconAgarwal V, Raman A, Sastry N, Abdelmoniem AM, Tyson G and Castro I (2024). Decentralised Moderation for Interoperable Social Networks: A Conversation-Based Approach for Pleroma and the Fediverse. Proceedings of the International AAAI Conference on Web and Social Media, Association for the Advancement of Artificial Intelligence (AAAI) vol. 18, 2-14.  
28-05-2024
bullet iconArouj A, Abdelmoniem AM, Alhilal A, You L and Wang C (2024). Resource-Aware Split Federated Learning for Edge Intelligence. 2024 IEEE 3rd Workshop on Machine Learning on Edge in Sensor Systems (SenSys-ML)
16-05-2024
bullet iconChen G, Li K, Abdelmoniem AM and You L (2024). Exploring Representational Similarity Analysis to Protect Federated Learning from Data Poisoning. Companion Proceedings of the ACM Web Conference 2024
13-05-2024
bullet iconMohamed Abdelmoniem Sayed A (2024). Decentralised Moderation for Interoperable Social Networks: A Conversation-Based Approach for Pleroma and the Fediverse. Proceedings of the International AAAI Conference on Web and Social Media
08-05-2024
bullet iconZhang Y, Huang H, Abdelmoniem AM, Zeng G, Zheng C, Que X, Wang W and Xu K (2024). FLAIR: A Fast and Low-Redundancy Failure Recovery Framework for Inter Data Center Network. IEEE Transactions on Cloud Computing, Institute of Electrical and Electronics Engineers (IEEE) vol. 12 (2), 737-749.  
02-05-2024
bullet iconArouj A and Abdelmoniem AM (2024). Towards Energy-Aware Federated Learning via Collaborative Computing Approach. Computer Communications, Elsevier vol. 221, 131-141.  
01-05-2024
bullet iconKhan AF, Khan AA, Abdelmoniem AM, Fountain S, Butt AR and Anwar A (2024). FLOAT: Federated Learning Optimizations with Automated Tuning. Proceedings of the Nineteenth European Conference on Computer Systems
22-04-2024
bullet iconAldous B and Abdelmoniem AM (2024). Comparative Profiling. Proceedings of the 4th Workshop on Machine Learning and Systems
22-04-2024
bullet iconAbu AJ, Bensaou B and Abdelmoniem AM (2024). Dimensioning the pending interest table in content-centric networks. Future Generation Computer Systems, Elsevier vol. 152, 179-192.  
01-03-2024
bullet iconAlrubayyi H, Alshareef MS, Nadeem Z, Abdelmoniem AM and Jaber M (2024). Security Threats and Promising Solutions Arising from the Intersection of AI and IoT: A Study of IoMT and IoET Applications. Future Internet, MDPI vol. 16 (3) 
29-02-2024
bullet iconBhattacharjee S, Sharma H, Choudhury T and Abdelmoniem AM (2024). Publisher Correction to: Leveraging chaos for enhancing encryption and compression in large cloud data transfers. The Journal of Supercomputing, Springer Nature vol. 80 (9), 13493-13494.  
19-02-2024
bullet iconBhattacharjee S, Sharma H, Choudhury T and Abdelmoniem AM (2024). Leveraging chaos for enhancing encryption and compression in large cloud data transfers. The Journal of Supercomputing, Springer Nature vol. 80 (9), 11923-11957.  
04-02-2024
bullet iconAbdelmoniem AM and Bensaou B (2024). Alleviating Congestion via Switch Design for Fair Buffer Allocation in Datacenters. IEEE Transactions on Cloud Computing, Institute of Electrical and Electronics Engineers (IEEE) vol. 12 (1), 219-231.  
23-01-2024
bullet iconLynch S, Abdelmoniem AM and Gill SS (2024). Centralised and Decentralised Fraud Detection Approaches in Federated Learning: A Performance Analysis. Applications of AI for Interdisciplinary Research  205-217.  
01-01-2024
bullet iconChen J, Gao Y, Liu G, Abdelmoniem AM and Wang C (2024). Manipulating Pre-Trained Encoder for Targeted Poisoning Attacks in Contrastive Learning. IEEE Transactions on Information Forensics and Security, Institute of Electrical and Electronics Engineers (IEEE) vol. 19, 2412-2424.  
01-01-2024

2023

bullet iconKhan N, bin Salleh R, Khan Z, Koubaa A, Hamdan M and Abdelmoniem AM (2023). Ensuring reliable network operations and maintenance: The role of PMRF for switch maintenance and upgrades in SDN. Journal of King Saud University - Computer and Information Sciences, Elsevier vol. 35 (10) 
01-12-2023
bullet iconZhang T, Zhou H, Huang C, Tian C, Zhang W, Wang X, Wang Y, Abdelmoniem AM, Tan M, Dou W and Chen G (2023). Achieving Zero-copy Serialization for Datacenter RPC. 2023 IEEE International Performance, Computing, and Communications Conference (IPCCC)
17-11-2023
bullet iconAlshareef MS, Jaber M and Abdelmoniem AM (2023). A Differential Privacy Approach for Privacy-Preserving Multi-Modal Stress Detection. 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)
08-11-2023
bullet iconZahri S, Bennouri H, Chehri A and Abdelmoniem AM (2023). Federated Learning for IoT Networks: Enhancing Efficiency and Privacy. 2023 IEEE 9th World Forum on Internet of Things (WF-IoT)
27-10-2023
Relevant PublicationGadgil K, Gill SS and Abdelmoniem AM (2023). A meta-learning based stacked regression approach for customer lifetime value prediction. Journal of Economy and Technology, Elsevier vol. 1, 197-207.  
22-09-2023
bullet iconAbdelmoniem AM, Abdelmoniem YM and Elzanaty A (2023). A2FL: Availability-Aware Selection for Machine Learning on Clients with Federated Big Data. ICC 2023 - IEEE International Conference on Communications
01-06-2023
Relevant PublicationAbdelmoniem AM, Sahu AN, Canini M and Fahmy SA (2023). REFL: Resource-Efficient Federated Learning. Proceedings of the Eighteenth European Conference on Computer Systems
08-05-2023
bullet iconAbdelmoniem AM and Bensaou B (2023). Enhancing TCP via Hysteresis Switching: Theoretical Analysis and Empirical Evaluation. IEEE/ACM Transactions on Networking, Institute of Electrical and Electronics Engineers (IEEE) vol. 31 (6), 2614-2623.  
07-04-2023
Relevant PublicationBragion E, Akter H, Kumar M, Xu M, Abdelmoniem AM and Gill SS (2023). Fortaleza: The emergence of a network hub. Internet of Things and Cyber-Physical Systems vol. 3, 272-279.  
18-01-2023
bullet iconAbdelmoniem AM, Ho C-Y, Papageorgiou P and Canini M (2023). A Comprehensive Empirical Study of Heterogeneity in Federated Learning. IEEE Internet of Things Journal, Institute of Electrical and Electronics Engineers (IEEE) vol. 10 (16), 14071-14083.  
15-01-2023
bullet iconTian Z, Wang Z, Abdelmoniem AM, Liu G and Wang C (2023). Knowledge Representation of Training Data With Adversarial Examples Supporting Decision Boundary. IEEE Transactions on Information Forensics and Security, Institute of Electrical and Electronics Engineers (IEEE) vol. 18, 4116-4127.  
01-01-2023
Relevant PublicationHota M, Abdelmoniem AM, Xu M and Gill SS (2023). Leveraging Cloud-Native Microservices Architecture for High Performance Real-Time Intra-Day Trading: A Tutorial. 6G Enabled Fog Computing in IoT  111-129.  
01-01-2023
Relevant PublicationTewatia S, Patel AA, Abdelmoniem AM, Xu M, Kaur K, Kumar M, Chowdhury D, Kumar A, Singh M and Gill SS (2023). GPU Based AI for Modern E-Commerce Applications: Performance Evaluation, Analysis and Future Directions. 6G Enabled Fog Computing in IoT  63-89.  
01-01-2023

2022

Relevant PublicationIftikhar S, Gill SS, Song C, Xu M, Aslanpour MS, Toosi AN, Du J, Wu H, Ghosh S, Chowdhury D, Golec M, Kumar M, Abdelmoniem AM, Cuadrado F, Varghese B, Rana O, Dustdar S and Uhlig S (2022). AI-based fog and edge computing: A systematic review, taxonomy and future directions. Internet of Things, Elsevier BV vol. 21, 100674-100674.  
20-12-2022
bullet iconArouj A and Abdelmoniem AM (2022). Towards energy-aware federated learning on battery-powered clients. Proceedings of the 1st ACM Workshop on Data Privacy and Federated Learning Technologies for Mobile Edge Network
17-10-2022
bullet iconAbdulah S, Atwa W and Abdelmoniem AM (2022). Active clustering data streams with affinity propagation. ICT Express, Elsevier vol. 8 (2), 276-282.  
01-06-2022
Relevant PublicationAbdelmoniem AM, Ho C-Y, Papageorgiou P and Canini M (2022). Empirical analysis of federated learning in heterogeneous environments. Proceedings of the 2nd European Workshop on Machine Learning and Systems
05-04-2022

2021

bullet iconXu H, Ho C-Y, Abdelmoniem AM, Dutta A, Bergou EH, Karatsenidis K, Canini M and Kalnis P (2021). GRACE: A Compressed Communication Framework for Distributed Machine Learning. 2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS)
10-07-2021
bullet iconChiu KHT, Wang JM, Abdelmoniem AM and Bensaou B (2021). A Two-tiered Caching Scheme for Information-Centric Networks. 2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR)
10-06-2021
bullet iconAbdelmoniem AM and Canini M (2021). DC2: Delay-aware Compression Control for Distributed Machine Learning. IEEE INFOCOM 2021 - IEEE Conference on Computer Communications
13-05-2021
bullet iconAbdelmoniem AM and Canini M (2021). Towards Mitigating Device Heterogeneity in Federated Learning via Adaptive Model Quantization. Proceedings of the 1st Workshop on Machine Learning and Systems
26-04-2021
bullet iconAbdelmoniem AM and Bensaou B (2021). T-RACKs: A Faster Recovery Mechanism for TCP in Data Center Networks. IEEE/ACM Transactions on Networking, Association for Computing Machinery (ACM) vol. 29 (3), 1074-1087.  
08-03-2021
bullet iconSahu AN, Banerjee T, Dutta A, Canini M, Abdelmoniem AM and Kalnis P (2021). Rethinking gradient sparsification as total error minimization. 
01-01-2021

2020

bullet iconGajjala RR, Banchhor S, Abdelmoniem AM, Dutta A, Canini M and Kalnis P (2020). Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning. Proceedings of the 1st Workshop on Distributed Machine Learning
01-12-2020
bullet iconAbdelmoniem AM, Susanto H and Bensaou B (2020). Reducing Latency in Multi-Tenant Data Centers via Cautious Congestion Watch. 49th International Conference on Parallel Processing - ICPP
17-08-2020
bullet iconDutta A, Bergou EH, Abdelmoniem AM, Ho C-Y, Sahu AN, Canini M and Kalnis P (2020). On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. Proceedings of the AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence (AAAI) vol. 34 (04), 3817-3824.  
03-04-2020

2019

bullet iconSusanto H, Abdelmoniem AM, Zhang H, Liu B and Towsley D (2019). A Near Optimal Multi-Faced Job Scheduler for Datacenter Workloads. 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS)
07-07-2019
bullet iconAbdelmoniem AM, Bensaou B and Susanto H (2019). Taming Latency in Data centers via Active Congestion-Probing. 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS)
07-07-2019
bullet iconSusanto H, Abdelmoniem AM, Jin H and Bensaou B (2019). Creek: Inter Many-to-Many Coflows Scheduling for Datacenter Networks. ICC 2019 - 2019 IEEE International Conference on Communications (ICC)
24-05-2019
bullet iconAbdelmoniem AM and Bensaou B (2019). Hysteresis-based Active Queue Management for TCP Traffic in Data Centers. IEEE INFOCOM 2019 - IEEE Conference on Computer Communications
02-05-2019
bullet iconDong J, Yin H, Tian C, Abdelmoniem AM, Zhou H, Bai B and Zhang G (2019). Uranus: Congestion-proportionality among slices based on Weighted Virtual Congestion Control. Computer Networks, Elsevier vol. 152, 154-166.  
01-04-2019
bullet iconAbdelmoniem AM, Abdelmoniem YM and Bensaou B (2019). On Network Systems Design: Pushing the Performance Envelope via FPGA Prototyping. 2019 International Conference on Innovative Trends in Computer Engineering (ITCE)
21-02-2019

2018

bullet iconAbdelmoniem AM, Bensaou B and Barsourrr V (2018). IncastGuard: An Efficient TCP- Incast Mitigation Mechanism for Cloud Networks. 2018 IEEE Global Communications Conference (GLOBECOM)
09-12-2018
bullet iconAbdelmoniem AM and Bensaou B (2018). Curbing Timeouts for TCP-Incast in Data Centers via A Cross-Layer Faster Recovery Mechanism. IEEE INFOCOM 2018 - IEEE Conference on Computer Communications
16-04-2018

2017

bullet iconAbdelmoniem AM and Bensaou B (2017). Enforcing Transport-Agnostic Congestion Control in SDN-based Data Centers. 2017 IEEE 42nd Conference on Local Computer Networks (LCN)
01-10-2017
bullet iconAbdelmoniem AM, Bensaou B and Abu AJ (2017). Mitigating incast-TCP congestion in data centers with SDN. Annals of Telecommunications, Springer Nature vol. 73 (3-4), 263-277.  
30-08-2017
bullet iconAbdelmoniem AM, Bensaou B and Abu AJ (2017). SICC: SDN-based Incast Congestion Control for Data Centers. 2017 IEEE International Conference on Communications (ICC)
01-05-2017
bullet iconSabvasachi AS, Kabir HMD, Abdelmoniem AM and Mondal SK (2017). A Resilient Auction Framework for Deadline-Aware Jobs in Cloud Spot Market (Poster Abstract). 2017 IEEE 36th Symposium on Reliable Distributed Systems (SRDS)
01-01-2017

2016

bullet iconAbu AJ, Bensaou B and Abdelmoniem AM (2016). Inferring and Controlling Congestion in CCN via the Pending Interest Table Occupancy. 2016 IEEE 41st Conference on Local Computer Networks (LCN)
22-12-2016
bullet iconAbu AJ, Bensaou B and Abdelmoniem AM (2016). A Markov Model of CCN Pending Interest Table Occupancy with Interest Timeout and Retries. 2016 IEEE International Conference on Communications (ICC)
01-05-2016
bullet iconAbdelmoniem AM, Bensaou B and Abu AJ (2016). HyGenICC: Hypervisor-Based Generic IP Congestion Control for Virtualized Data Centers. 2016 IEEE International Conference on Communications (ICC)
01-05-2016
bullet iconAbdelmoniem AM and Bensaou B (2016). Incast-Aware Switch-Assisted TCP Congestion Control for Data Centers. 2015 IEEE Global Communications Conference (GLOBECOM)
25-02-2016

2015

bullet iconAbdelmoniem AM and Bensaou B (2015). Reconciling Mice and Elephants in Data Center Networks. 2015 IEEE 4th International Conference on Cloud Networking (CloudNet)
01-10-2015

2014

bullet iconAbdelmoniem AM and Bensaou B (2014). Incast-Aware Switch-Assisted TCP Congestion Control for Data Centers. 2015 IEEE Global Communications Conference (GLOBECOM)
01-12-2014

Grants

solid heart iconGrants of specific relevance to the Centre for Networks, Communications and Systems
solid heart iconKUber: Knowledge Delivery System for Machine Learning at Scale
Ahmed M. A. Sayed
£522,781 EPSRC Engineering and Physical Sciences Research Council (01-04-2024 - 31-03-2027)


solid heart iconModeration in Decentralised Social Networks
Ignacio De Castro Arribas, Gareth Tyson and Ahmed M. A. Sayed
£65,058 EPSRC Engineering and Physical Sciences Research Council (01-05-2022 - 30-06-2023)