Dr Mohammed Saleh Al Ansari
University of Bahrain
Research areas: Medicine · Urology · Urological Disorders and Treatments · Ureteral procedures and complications · Kidney Stones and Urolithiasis Treatments
0000-0001-9425-0294
About
Mohammed Saleh Al Ansari has been working as an Associate Professor in the College of Engineering, Department of Chemical Engineering at the University of Bahrain. He earned his bachelor’s degree in Chemical Engineering from King Saud University in Riyadh in 1983. In 1987, He received his MSc degree in Desalination Engineering, Desalination Technology, Glasgow. In 1998, he received his Ph.D. in Corrosion and Protection Science and Engineering. He has over 35 years of experience in teaching, research, and industry. His research areas include chemical engineering, machine learning, complex system, data sciences, sustainability, and energy. He has made several innovative and outstanding contributions to academic research. He has contributed over 130 publications in Scopus, SCI, Esci, and International peer-reviewed impact journals and patents
Employment
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University of Bahrain Associate Professor
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (172)
- Adaptive Multi-Objective Energy Management in Renewable-Integrated Microgrids Using Deep Q-Network Learning Save
- Automated Environmental Impact Assessment Framework Leveraging Big Data Analytics and Life Cycle Inventory for Industrial Applications Save
- Energy-Efficient Automation Control System Using AI-Powered Digital Twins for Industrial Process Monitoring Save
- MITIGATING MODE COLLAPSE TO IMPROVE DIVERSITY IN TEXT-TO-IMAGE GAN OUTPUTS: STRATEGIES IN ARCHITECTURAL DESIGN, TRAINING METHODOLOGIES, AND EVALUATION TECHNIQUES Save
- FROM SIGNAL TO SUPPLY: DEW-POINT ANALYTICS AND OPERATIONAL DEW HARVESTING IN BAHRAIN (2000–2025) Save
- AI-Driven Solutions for Water Quality Assessment Save
- The Importance of Interdisciplinary Collaboration in Saudi Healthcare Settings Save
- Artificial Intelligence and Machine Learning Driven Framework for Investigating the Usefulness of Physiological Indicators for User Trust in Forecasting Decision Making Save
- Cloud Computing Visualization for Resources Allocation in Distribution Systems Save
- Design, Synthesis, Structural, and Computational Studies of (Z)-2,2',4,4',5,5'-Hexahydroxy Stilbene as a Potential Antifungal Agent Save
- Implementation of cloud based IoT technology in manufacturing industry for smart control of manufacturing process Save
- Leveraging Multi-Task Learning and Uncertainty Estimation for Accurate Sales and Profit Forecasting Save
- Mechanical and Aerospace Engineering: New Frontiers in Optimization Save
- Neural network technologies and brain-computer interfaces: Innovations and applications Save
- Revolutionizing Communication Assessment with the GCN-LSTM-A Automation Method Save
- Structural Engineering Optimization Techniques for Earthquake-Resilient Buildings Save
- Synthesis, Spectral Analysis, Molecular Docking, Dft and Antifungal Activity Studies of Novel Compound (Z)-2, 2', 4, 4', 5, 5'-Hexahydroxy Stilbene Save
- Automated Plant Disease Detection Save
- Optical Sensing for Precision Agriculture Save
- Precision Agriculture and Unmanned Aerial Vehicles (UAVs) Save