Prof. TieJun (TJ) Zhang has his whole faculty career at the Masdar Institute, Khalifa University in Abu Dhabi, UAE. He was a Visiting Assistant Professor at the Massachusetts Institute of Technology (MIT) and a Postdoctoral Research Associate at the Rensselaer Polytechnic Institute (RPI) in USA. He received his PhD degree from the City University of Hong Kong (2008) and his MSc & BEng degrees from the Southeast University, China (2004 & 2001).
As one of World’s Top 2% of Scientists, he has over 140 peer-reviewed publications and international patents by spring 2021. As an educator, he have mentored over 40 PhD & MSc students and research staffs as well as many intern students.

Prof. Zhang is the recipient of the UAE National Research Foundation University-Industry Research Collaboration Award, the Abu Dhabi Award for Research Excellence, and the US National Academy of Sciences Arab-American Frontiers Fellowship Award. He has been the Principal Investigator of many research projects (over US$10 millions) on energy, water and micro/nanotechnologies, and also served as the Principal Scientist leading the Alibaba Cloud-Khalifa University Joint Innovation Laboratory.

Prof. Zhang is an Associate Editor of Journal of Micro and Nano-Manufacturing of American Society of Mechanical Engineers (ASME). He is an active committee member of ASME Nanoengineering Technology Group and ASME Heat Transfer Division Technical Committee. He was the co-chair (Arab-side) of the Fourth Arab-American Frontiers of Science, Engineering and Medicine Symposium between USA and 22 Arab countries (organized by the US National Academies of Sciences, Engineering and Medicine). He has been an invited reviewer for many international research proposals, doctoral dissertations and over 50 scientific journals.

Most research interests for a scientist

● Micro-3D Printing, Nano-Fabrication and Smart Manufacturing
● Phase-Change Heat Transfer, Thermal Radiation and Microfluidics
● Solar Energy Conversion, Radiative Cooling and Water Treatment
● Intelligent Process Control, Machine Learning and Automation