G
Bruce Gates
Research
Catalysis research emphasizes fundamental investigations motivated by technologically important problems and close interactions with industry. The research involves catalyst preparation, characterization by physical methods, and testing in low- and high-pressure reactors.
Steven George
Soheil Ghiasi
Research
Design methods for embedded computing systems with a focus on streaming and data analytic workloads, such as signal processing, computer vision and machine learning. Specific topics of contribution include: Static and dynamic management of computing system resources; system-level design automation; reconfigurable architectures and combinatorial algorithm design for embedded applications. The research area offers an interesting blend of theory and practice, and finds applications in many disciplines ranging from medicine and agriculture to cyber-security and defense.
Dipak Ghosal
Research
High-speed Networks, Wireless Networks, Vehicular Ad-hoc Networks, Parallel and Distributed Systems, Timing Channels, Performance Evaluation of Computer and Communication Systems.
Jeffery C. Gibeling
Research
Creep Properties of Materials, Fatigue and Fracture of Materials, Materials Science, Mechanical Properties of Materials, Metal Matrix Composites.
D. Ken Giles
Research
Spray applications, including pesticide spraying and industrial spray coatings. Reduction of spray drift and environmental contamination.
J. Sebastian Gomez-Diaz
Research
My main research interests span the multidisciplinary areas of applied electromagnetics from RF and microwaves to terahertz and infrared frequencies, metamaterials/metasurfaces, novel 2D materials, nonlinear phenomena, antennas, and numerical techniques, among other emerging topics in plasmonics and nanophotonics. In particular, I am especially interested in the efficient control and manipulation of electromagnetic waves in unprecedented ways, aiming to overcome the limitations of current technology and communication systems in terms of dynamic reconfiguration, integration and miniaturization while simultaneously boosting their performance and functionalities.
Mark Grismer
Research
My primary research efforts are driven by practical environmental problems facing land and resource managers and discovery of the underlying processes affecting derivation of development of applicable methods or solutions to these problems. My focus remains largely directed at gaining a better understanding of hillslope hydrology, wetland and irrigation/drainage processes in the field.
Niels Grønbech-Jensen
Research
Computational materials and soft condensed matter, molecular dynamics, radiation damage, nonlinear dynamics and complex systems, numerical analysis and methods, macroscopic quantum phenomena and superconducting device physics.
Q. Jane Gu
Research
RF/MMIC/THz and mixed-signal integrated circuits and systems; design techniques for post-CMOS devices; imaging, radar and communication circuits and systems; ultra-low power IC and systems; mm-wave array and beam-forming techniques; bio-sensing and bio-imaging circuits and systems.
A. Nazli Gundes
Daniel M. Gusfield
Research
Efficiency of algorithms, particularly for problems in combinatorial optimization and graph theory. These algorithms have been applied to study data and computer security, stable matching, network flow, matroid optimization, and string/pattern matching problems. Currently, Professor Gusfield is focused on string and combinatorial problems that arise in computational biology, particularly involving bioinformatics and genomics.
Francois Gygi
Research
Development of accurate numerical simulation methods for applications in computational materials science, as well as computational physics and chemistry. He is involved in the development of algorithms for First-Principles Molecular Dynamics, a simulation method that combines a calculation of atomic trajectories with a quantum mechanical description of electronic properties. This method is widely used to explore the properties of solids, liquids, nanoparticles and biomolecules. First-principles simulations are computationally expensive and require the use of large parallel computers. The integration of efficient parallel numerical algorithms in simulation codes is an important part of his research.
