Dr Alex Dinovitser
ARC Grant-Funded Research Fellow
School of Electrical and Mechanical Engineering
College of Engineering and Information Technology
Dr. Alex Dinovitser is an ARC Postdoctoral Fellow in the School of Electrical and Mechanical Engineering at the University of Adelaide. His research focuses on the development and optimization of terahertz (THz) technologies, particularly in the design and analysis of photonic crystal fibers and metamaterials for THz sensing applications. Dr Alex Dinovitser’s research spans the development of advanced optical sensing technologies and the modelling of future energy systems. His early work in physics focused on building and deploying Australia’s first Differential Absorption Lidar (DIAL) system for high-resolution atmospheric profiling of water vapour for The Bureau of Meteorology, laying the foundation for precision remote sensing. More recently, his research has shifted towards terahertz (THz) photonic systems, including the design of novel metamaterials and hollow-core fibers for THz sensing and spectroscopy. He also contributes to techno-economic modelling of renewable energy storage solutions, particularly hydrogen storage in pipelines and geological formations, reflecting a commitment to addressing both fundamental and applied challenges in sensing, photonics, and sustainability. Alex has been CEC accredited Solar Power Engineering designer and consultant. Since 2001, he has engineered numerous government and industrial solar PV project including for the National Motor Museum and Epic Energy's 39MW Mannum solar farm.
| Language | Competency |
|---|---|
| Russian | Can read, write, speak and understand spoken |
| Date | Institution name | Country | Title |
|---|---|---|---|
| 2008 - 2012 | University of Adelaide | Australia | PhD |
| 2005 - 2005 | University of Adelaide | Australia | Bsc Hons |
| 1986 - 1990 | Monash University | Australia | BE |
| Year | Citation |
|---|---|
| 2023 | SHAIKH, R., Vowles, D., Dinovitser,, A., Allison, A., & Abbott, D. (2023). Robust Capital Cost Optimization of Generation and Multi-Timescale Storage Technology Requirements for a 100% Renewable Australian Electricity Grid. DOI |