Focus: advancing knowledge and research in areas such as aerodynamics and fluid mechanics, aeroelasticity and structural dynamics, flight mechanics and control, propulsion and combustion, structural mechanics and materials behavior, and system design and optimization.
Focus: preparing graduate students to reach the forefront of leadership in the field of bioinformatics and computational biology; and integrating research and education on the use of information technologies in biology and medicine.
Focus: advancing knowledge and research in areas such as catalysis, reaction kinetics, complex fluids, microelectronics, microfluidics, optimization, bioinformatics, polymers, sustainable development, pulp and paper, separations, carbon capture, biomedicine, solar energy, thermodynamics, MEMS, environmental science, reaction engineering, cancer diagnostics and therapeutics, biofuels, air quality, modeling, and process synthesis and control.
Focus: advancing knowledge and research in areas such as construction engineering; environmental engineering; environmental fluid mechanics, and water resources; geosystems engineering; structural engineering, mechanics and materials; and transportation systems engineering.
Focus: advancing knowledge and research in computer-based models of natural phenomena and engineered systems with an emphasis on integrating principles from mathematics, computer science, and engineering to be able to create significant computational artifacts (e.g., software).
Focus: advancing knowledge and research in areas such as bioengineering, computer engineering, digital signal processing, electrical energy, electromagnetics, electronic design and applications, microsystems, optics and photonics, systems and controls, and telecommunications.
Focus: concentrating on advanced research that employs scientific disciplines and engineering principles to address emerging environmental issues such as sustainable air, water, and land resources; human health; and environmental restoration.
Focus: advancing knowledge and research in areas such as mathematical optimization; stochastic and probabilistic methods; statistical modeling and analysis; design and analysis of algorithms; and computational and numerical methods.
Focus: educating a new breed of multidisciplinary researchers in robotics who will provide leadership in this rapidly evolving discipline and help meet the growing industrial and societal demand for advanced education and research in robotics.