A
Khaled Abdel-Ghaffar
Research
Coding Theory, Information Theory, and Discrete Mathematics.
Venkatesh Akella
Research
Computer Architecture and Parallel Computing, Embedded Systems and Software, Hardware/Software Codesign, Reconfigurable Computing, Asynchronous Circuits, Photonic Interconnects, Design for Sustainability.
Hussain Al-Asaad
Research
Computer-aided design, verification, and testing for digital systems; Fault-tolerant computing; and VLSI architectures.
Ralph Aldredge
Research
Analytical, computational and experimental studies of turbulent flame propagation and combustion instabilities; Development of computational models and algorithms for simulation of reactive-flow dynamics; biological-fluid dynamics, biomedical heat transfer and tissue Mechanics
Nina Amenta
Research
Much of my recent work is related to visualizing morphological change in evolution. This work grew out of a project in visualization for computational phylogeny.
Rajeevan Amirtharajah
Research
Low power digital and mixed-signal integrated circuits, energy harvesting, sensor interfaces, embedded systems, circuits and architectures for multicore processors and emerging electrical and optical devices.
Francis Assadian
Research
Mathematical modeling and simulation of dynamic systems-bond graph approach, vehicle dynamics, global chassis control systems, alternative powertrain, energy optimization, automatic control, and robust control.
Kyriacos Athanasiou
Research
Understand the healing processes of cartilage, and to augment those processes via sound application of tissue engineering principles.
Griffiths Atungulu
Sharon Aviran
Research
Computational RNA Biology and Biomolecular Engineering
Recent advances in genomics, chemistry, and biotechnology have opened up new possibilities for studying RNA structure and dynamics at the genome scale and at unprecedented resolution and throughput. Our group develops computational and statistical methods for robust and efficient analysis of the information generated by such novel and emerging technologies and for utilizing it to better infer RNA dynamics and structure-function relationships. Another goal of our group is to develop tools that will assist the engineering of novel RNAs for a range of synthetic biology and therapeutic applications. Our work is at the interface between applied math, statistics, and biochemistry, and draws on tools from machine learning, probabilistic modeling, and optimization.