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Effat Undergraduate Research Journal

Educational research shows that student contribution is an effective practice for enhancing educational outcomes. The mission of the Undergraduate Research Journal (EURJ) is to provide a forum for exchange and discussion of research. Effat’s Undergraduate Research Journal (EURJ) was a great initiative established in 2017 to publish undergraduate research by outstanding Effat University’s undergraduate students from all disciplines by submitting faculty-mentored research articles as peer-reviewed journal. The open-access interdisciplinary journal is run jointly by faculty members and students, with the unique partnership of Effat’s other departments. Publications of EURJ are sponsored by the Deanship of Graduate Studies and Research (DGSR). Now, EURJ has expanded its capabilities to allow students from different universities of the kingdom to contribute valuable research as a venue for future junior researchers. Effat Undergraduate Research Journal.

See the Aims and Scope for a complete coverage of the journal.

Current Issue: Volume 4, Issue 1 (2023)

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Continuous Versus Discrete-Time Sigma-Delta Analog to Digital Converters for Biomedical Applications: A Comparison
Haya H. Binsalim, Batool Alaidroos, Basma Shigdar, Salma Badaam, and Aziza I. Hussein

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Intelligent System Designs for HVAC Energy Reduction in Buildings: AI-based Forecasting and Hybrid Active/Passive Approaches
Leena N. Alam, Rim M. Obaid, Thoraya Musa, Wegdan O. AlShateri, and Passent M. Elkafrawy Prof

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Electrical Energy Consumption Forecasting Based on Conventional and Artificial Intelligence Methods: A Comparison
Haya H. Binsalim, Jana Kamal, Salma Badaam, Danah Milyani, Ghadah S. Alyami, and Aziza I. Hussein

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SAR Analog-to-Digital Converters for Point-of-care biosensors: A Comparison
Eithar Alammari, Joud Alamro, Sara Alashwali, Ghadah S. Alyami, and Aziza I. Hussein

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Satellite Internet Technology: Connect the Unconnected
Nora Turki Alamoudi Ms. and Aziza I.Hussien Proffessor

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Performance Analysis of Computational Methods for Predicting Protein Function in Rare Diseases
Aichetou Mohamed Sidiya, Hanin Alzaher, Razan Almahdi, and Tayeb Brahimi