Projects per year
Personal profile
Research interests
Systems And Control Engineering, Signal Processing, Nondestructive Testing, Aquaponics, Data Analytics
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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High Voltage Superconducting Cables for Urban Power Grids: Addressing Stability and Renewable Energy Challenges in Expanding Saudi Cities
Khan, U. A. (PI) & Memon, A. (CoI)
1/01/25 → 31/12/25
Project: Research
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Leakage Current Based Contamination Level Monitoring of High Voltage Insulators
Maraaba, L. (PI), Al-Soufi, K. (CoI), Memon, A. (CoI) & Worku, M. (CoI)
1/09/21 → 1/02/23
Project: Research
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Laboratory scale setup and tests for Aquaponics – Soilless and sustainable agricultural technique
Memon, A. (CoI) & Alhems, L. (PI)
1/04/20 → 1/04/23
Project: Research
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Internal coating-defect detection in pipelines using Electro Magnetic Acoustic Transducer (EMAT)
Memon, A. (PI) & Alhems, L. (CoI)
1/02/20 → 1/01/21
Project: Research
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Artificial neural network for the evaluation of electric propulsion system in unmanned aerial vehicles
Goli, S., Kurtuluş, D. F., Waqar, M., Imran, I. H., Alhems, L. M., Kouser, T. & Memon, A. M., May 2025, In: Neural Computing and Applications. 37, 15, p. 8945-8961 17 p.Research output: Contribution to journal › Article › peer-review
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METHOD FOR DETECTING WELD DEFECTS IN PIPE
Memon, A. (Inventor), 2025, Patent No. US12196717Research output: Patent
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NONDESTRUCTIVE ELECTROMAGNETIC METHOD FOR IDENTIFYING PIPELINE DEFECTS
Memon, A. (Inventor), 2025, Patent No. US12196716Research output: Patent
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Pipeline leak detection using hydraulic transients and domain-guided machine learning
Waqar, M., Memon, A. M., Louati, M., Ghidaoui, M. S., Alhems, L. M., Meniconi, S., Brunone, B. & Capponi, C., 1 Jan 2025, In: Mechanical Systems and Signal Processing. 224, 111967.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Are Supervised Learning Methods Suitable for Estimating Crop Water Consumption under Optimal and Deficit Irrigation?
Yamaç, S. S., Kurtuluş, B., Memon, A. M., Alomair, G. & Todorovic, M., Mar 2024, In: Agronomy. 14, 3, 532.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations