Dr. Ali Rashed Al Alili
Dr. Ali Rashed Al Alili Associate Professor
Teaching Areas
Research Interests

Associate Professor, Department of Mechanical Engineering

Dr. Ali Al-Alili received his BSc in Mechanical Engineering from Arizona State University, USA. Then, he joined a combined M.Sc./Ph.D. program at the University of Maryland, USA, where he received his Ph.D. in Mechanical Engineering.

His research focuses on solar air conditioning simulation, experimentation and optimization, high-performance buildings, indoor air quality, solar resource assessment and forecasting, and solar collectors’ performance. He is also interested in using machine learning and deep learning techniques to improve energy efficiency and renewable energy utilization. He worked on various funded research projects with a total fund of $3.5 million. He is the founder and director of the “Solar and Weather Observation Laboratory” and “High-Performance Building Laboratory.”

Dr. Al-Alili has successfully supervised and granted MSc degrees to 12 students, supervised five interns, and was the academic advisor to eight capstone projects. Currently, he is the main dissertation advisor to two Ph.D. and four M.Sc. students.

Dr. Al-Alili has won many competitions such as The Petroleum Institute Ebtikar best project award, the Mohammed bin Rashid Al Maktoum Global Water Award for Innovative Research & Development for UAE National Institutions, Third place, and the Abu Dhabi University Undergraduate Research Competition, Second place. The results of his research findings are published in reputable international conference and high ranked peer-reviewed journals. He is an active member of the American Society of Mechanical Engineers (ASME), and the International Solar Energy Society (ISES).

  • PhD, Mechanical Engineering, University of Maryland (USA), 2012
  • BSc, Mechanical Engineering, Arizona State University (USA), 2006
Teaching Areas
  • Thermodynamics
  • Fluid Mechanics
  • Heat Transfer
  • Advanced Thermodynamics
  • Advanced Heat Transfer
  • Advanced Energy Conversion
Research Interests
  • Solar thermal air conditioners
  • Solar radiation measurement, modeling, and forecasting
  • High performance buildings
  • Machine learning techniques
  • Atmospheric Water Collection