Mechatronics engineering department, faculty of engineering at Horus University Egypt, Egypt.
Dr. Abdelrahman Tarek Elgohr is an Assistant Lecturer in Mechatronics Engineering at Horus University, Egypt, with a strong research focus on robotics, artificial intelligence, and brain-computer interfaces. He holds an MSc from Zagazig University and is currently pursuing his PhD at Mansoura University. Dr. Elgohr has published extensively in top-tier journals, contributed to cutting-edge work on robotic arm optimization and EEG signal analysis, and is a certified Huawei AI instructor. His blend of academic leadership, technical expertise, and innovative research makes him a rising figure in applied mechatronics and intelligent systems.
🎓 Academic Background:
Dr. Abdelrahman Tarek Elgohr is a distinguished Mechatronics Engineer and academic, currently serving as an Assistant Lecturer at the Faculty of Engineering, Horus University, Egypt. He holds a Master of Science in Mechatronics Engineering from Zagazig University, where he conducted advanced research on brain-controlled robotic systems. Currently, he is pursuing a Ph.D. in Mechatronics Engineering at Mansoura University, having achieved excellence in courses covering nonlinear control systems, intelligent technologies, and advanced robotics.
Profile:
📚 Research Expertise:
Dr. Elgohr’s research lies at the dynamic intersection of robotics, artificial intelligence, and biomedical systems. His master’s thesis focused on the development of a brain-controlled robotic arm using deep learning and optimization algorithms, demonstrating innovation in both AI application and mechanical control. He has authored over 13 peer-reviewed publications in internationally indexed journals such as Elsevier, Wiley, IEEE Xplore, and the Journal of Engineering Research, covering diverse topics from EEG signal classification to sustainable energy systems and robotic path planning.
🧠 Teaching and Academic Contributions:
With over six years of teaching experience at Horus University, Dr. Elgohr has played a vital role in shaping the academic journey of future engineers. He teaches a broad range of courses, including Robotics Engineering, Motion Control, CAD Design, and Electrical Circuits. He also serves as the Head of the Robotics Laboratory and contributes to quality assurance, student advising, and curriculum development—particularly in the university’s Artificial Intelligence program.
🛠️ Technical Skills and Certifications:
Dr. Elgohr possesses strong technical proficiency across several platforms and tools. He is skilled in programming languages such as C, Python, and MATLAB, and has hands-on experience with TensorFlow and SolidWorks. His certifications include Huawei HCIA AI Instructor, SolidWorks Associate, Siemens PLC Programming, and multiple professional development courses offered by DAAD Egypt, including proposal writing and fundraising.
🌟 Achievements and Roles:
Beyond research and teaching, Dr. Elgohr is actively engaged in academic service. He has advised over 80 students, served on examination and academic scheduling committees, and is an IEEE Horus Student Branch monitor. Notably, he is the first Huawei AI Certified Instructor at Horus University. His academic leadership and organizational skills continue to strengthen the university’s robotics and AI ecosystem.
Publications:
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A Comprehensive Review on Hybridization in Sustainable Desalination Systems
Membranes, 2025.
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Path Planning for a 6 DoF Robotic Arm Based on Whale Optimization Algorithm and Genetic Algorithm
Journal of Engineering Research, 2023.
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Trajectory Optimization for a 6 DOF Robotic Arm Based on Reachability Time
Annals of Emerging Technologies in Computing, 2024.
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Enhancing Conical Solar Stills with Aluminum Ball Energy Storage: Optimal Distance for Improved Performance
Journal of Energy Storage, 2024.
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Multi-Classification Model for Brain Tumor Early Prediction Based on Deep Learning Techniques
Journal of Engineering Research, 2024.
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A Novel Hybrid Deep Neural Network Classifier for EEG Emotional Brain Signals
International Journal of Advanced Computer Science and Applications, 2024.
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Whale-Based Trajectory Optimization Algorithm for 6 DOF Robotic Arm
Annals of Emerging Technologies in Computing, 2024.
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Modeling of Heat Transfer and Airflow Inside Evacuated Tube Collector with Heat Storage Media: Experimental Validation Powered by Artificial Neural Network
Heat Transfer, 2025.
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Performance Evaluation of a Standalone Solar-Powered Irrigation System in Desert Regions Using PVsyst: A Comprehensive Analysis
25th International Middle East Power System Conference (MEPCON), 2024.
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Comparative Analysis for Accurate Multi-Classification of Brain Tumor Based on Significant Deep Learning Models
Computers in Biology and Medicine, 2025.
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Advancements in Photovoltaic Technology: A Comprehensive Review of Recent Advances and Future Prospects
Energy Conversion and Management: X, 2025.
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Trajectory Optimization for 6 DOF Robotic Arm Using WOA, GA, and Novel WGA Techniques
Results in Engineering, 2025.
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Innovative Electrode Design and Catalytic Enhancement for High-Efficiency Hydrogen Production in Renewable Energy Systems
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2025.
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Early Lung Cancer Detection with a Fusion of Inception V3 and Vision Transformers: A Binary Classification Study
International Conference on Future Telecommunications and Artificial Intelligence (FutureTech), 2024.
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Enhancing Urban Park Connectivity and User Experience Through Space Syntax Analysis with Environmental Performance Analysis: A Case Study in New Damietta City, Egypt
Urban Studies – Egypt, 2024.