Sort by
Refine Your Search
-
landslide and rockfall forecasting: the lack of physically grounded, early precursors of failure. The core hypothesis is that macroscopic slope collapse is preceded by changes in local deformation, expressed
-
interactions. This involves (i) developing predictive machine learning models that forecast user actions and remote system responses across audio, video and haptic modalities, and (ii) jointly orchestrating
-
. The core research objective of this PhD is to design and evaluate “latency hiding” methods for immersive networked interactions. This involves (i) developing predictive machine learning models that forecast
-
in research and teaching. The teaching load will be at most one course each semester, and often as little as one course per year, depending on funding and needs of the department, so that the appointee
-
advanced optimization models to support microgrid management, including forecasting, load scheduling, and demand response strategies; and (iii) designing and implementing a digital platform that enables
-
deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian Multi-Energy System & Grids Team is looking for a Research Fellow in