Applications of optimization techniques and statistics in water resources planning and operation. Statistical design of hydrologic and environmental data gathering networks. Optimization of scheduling of repetitive construction activities.
Hydraulics, hydraulic structures (spillways, energy dissipators, intakes), river engineering, jets, air entrainment, hydrodynamics, turbulence, physical and numerical modelling, computational fluid dynamics (CFD), experimental methods and instrumentation, hydropower, pump stations
Hydrology, urban wet-weather flow processes, storm-water quality, municipal infrastructure planning and modelling, storm-water management, low impact development, environmental monitoring, smart infrastructure.
Field and 3D numerical modeling techniques to describe the spatial and temporal variations of physical processes and their impacts on transport in lakes and coastal waters.
Optimizing design and operational strategies of water resources projects; identifying reliable water quality management systems for natural and built environments in the face of uncertainty; adapting to climate change.
Water Resources; Atmospheric Boundary Layer; Wind engineering; Evaporation; Turbulence; Large Eddy Simulation; Soil and snow physics; Environmental wireless sensor networks; Watershed and eco-hydrology; Lidar.
Modeling and optimization of large-scale civil engineering systems; planning, design and operation of hydroelectric generating facilities; use of decision, policy and risk analysis techniques in water resource planning and management; use of artificial intelligence systems in water resource and hydroelectric systems