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Ahmed Negm

Qualifications

MSc, Mechatronics Engineering, Lancaster University

Award Date: 10/09/2020

Employment

PhD, Water Pressure Optimisation for Leakage Management Using Deep Reinforcement Learning

School of Engineering

Lancaster University

Lancaster, United Kingdom

Supervised by: Xiandong Ma, George Athanasios Aggidis

1/01/202129/05/2024

Research outputs

Deep reinforcement Learning Challenges and Opportunities for Urban Water Systems

Negm, A., Ma, X. & Aggidis, G., 1/04/2024, In: Water Research. 253, 121145.

Water pressure optimisation for leakage management using deep reinforcement learning

Negm, A., 2024, Lancaster University. 358 p.

Water Pressure Optimisation for Leakage Management Using Q Learning

Negm, A., Ma, X. & Aggidis, G., 2/08/2023, Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023. IEEE, p. 270-271 2 p. (2023 IEEE Conference on Artificial Intelligence (CAI)).

Review of leakage detection in water distribution networks

Negm, A., Ma, X. & Aggidis, G., 1/01/2023, In: IOP Conference Series: Earth and Environmental Science. 1136, 1, 15 p., 012052.

Prizes

Best Concept in Development Shortlist

Negm, A. (Recipient), 18/05/2023

Engineering in Business Fellowship

Negm, A. (Recipient), 30/11/2018

Gold Lancaster Employability Award

Negm, A. (Recipient), 1/07/2020

Student Representative Awards

Negm, A. (Recipient), 25/06/2019