Mr. Ali Reza Mohammed Husein Sajun | American University of Sharjah
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Profile

College / Department

College of Engineering
Department of Computer Science and Engineering

Teaching areas

Programming, Software Design, Artificial Intelligence

Research areas

Deep Learning, Machine Learning, Internet of Things, Smart Solar Energy

Education

Master, Computer Engineering, American University of Sharjah, 2022
Bachelor, Computer Engineering, American University of Sharjah, 2020

Contact

[email protected]
+971 6 515 4825

Mr. Ali Reza Mohammed Husein Sajun

Laboratory Instructor
Master, American University of Sharjah,

Ali Reza holds a M.Sc. (2022) and B.Sc. (2020) in Computer Engineering from American University of Sharjah. He was a graduate teaching assistant and co-author of numerous conference and journal papers. He won the CEN Graduate Research Excellence Award (MSc) and the AUS Graduate Student Research, Scholarly, and Creative Work Excellence Awards in 2022. He worked as a research assistant in smart energy and automated solar panel monitoring. His research interests are in Machine Learning, Deep Learning, IoT, Smart Energy, and Embedded Systems.

Publications

Ali Sajun, Imran Zualkernan And Donthi Sankalpa. A Historical Survey of Advances in Transformer Architectures, Applied Sciences (switzerland), 1 May 2024
Ali Sajun And Imran Zualkernan. Evaluating the FixMatch Semi-Supervised Algorithm for Unbalanced Image Data, 2022
Imran Zualkernan, Salam Dhou, Jacky Judas, Ali Sajun, Brylle Gomez And Lana Hussain. An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge, Computers, 2022
Ali Sajun, Salsabeel Shapsough, Imran Zualkernan And Rached Dhaouadi. Edge-based individualized anomaly detection in large-scale distributed solar farms, Ict Express, 2022
Ali Sajun, Imran Zualkernan And Donthi Sankalpa. Investigating the Performance of FixMatch for COVID-19 Detection in Chest X-rays, Applied Sciences, 2022
Ali Sajun And Imran Zualkernan. Survey on Implementations of Generative Adversarial Networks for Semi-Supervised Learning, Applied Sciences, 2022
Ali Sajun. Exploring Semi-Supervised Learning Algorithms for Camera Trap Images, 2022
Ali Sajun And Imran Zualkernan. Exploring Semi-Supervised Learning for Camera Trap Images from the Wild, 17 December 2022
Ali Sajun And Imran Zualkernan. Evaluating the FixMatch Semi-Supervised Algorithm for Unbalanced Image Data, 11 March 2022
Nada Abdalgawad, Ali Sajun, Yara Kaddoura, Imran Zualkernan And Fadi Aloul. Generative Deep Learning to Detect Cyberattacks for the IoT-23 Dataset, Ieee Access, 2021
Imran Zualkernan, Salam Dhou, Jacky Judas, Ali Sajun, Brylle Gomez, Lana Hussain And Dara Sakhnini. Towards an IoT-based Deep Learning Architecture for Camera Trap Image Classification, 2020
Salsabeel Shapsough, Imran Zualkernan, Rached Dhaouadi And Ali Sajun. Using Siamese Networks to Detect Shading on the Edge of Solar Farms, 2020

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