January 10th, 2019
Lecturer: Dr. Amin Talei, Senior Lecturer, School of Engineering, Monash University (Malaysia Campus)
Number of participants: 35
Number of women among participants: 11
Abstract: Artificial intelligence (AI) computing techniques have been successfully applied in various hydrologic modelling problems such as rainfall-runoff modelling and flood forecasting. AI computing techniques have been found to be an alternative (or complement) for traditional physically-based models. However, AI models have their own limitations, pitfalls and of course challenges. Most recently, due to the fast progress in computer technology (hardware and software) and the development of more advanced AI algorithms, researchers have been able to provide more accurate and reliable hydrologic models. This is the area that has lots of opportunities for further developments and new applications.
About the Speaker: Dr Amin Talei received his BSc. and MSc. degrees in Civil Engineering from Shiraz University and University of Tehran, respectively. After 5 years working as lecturer and civil engineer, he moved to Nanyang Technological University of Singapore, where he got his PhD and worked as postdoc for one year. In 2013, he joined Monash University (Malaysia campus) as a lecturer and since then, he has been involved in teaching and conducting research in the field of water engineering. His research area is mainly focused on two themes: (1) hydrological modelling, and (2) sustainable urban water.
