Curiosity about the world and a commitment to solving problems are the passions that drive ICS faculty. Their research in the information and computer sciences are applicable to many scholarly and scientific fields. But our faculty don’t do it alone, students work side-by-side with nationally renowned professors to advance knowledge and improve lives. Below is a list of research areas tackled by our faculty.
The dominant research theme in our group is algorithm design, studied from several diverse viewpoints: combinatorial optimization; approximation, online, randomized and parallel algorithms; graph algorithms; and algorithmic game theory. A second theme is computational complexity theory, with an emphasis on studying new complexity classes, such as those used for establishing intractability of economic and game-theoretic solution concepts. Other areas of theory studied include computational geometry, data structures, geometric graph theory, quantum computing, spectral graph theory, theory of deep learning, cryptography, and online and matching-based market design.
Primary Faculty
- Pierre Baldi
- Mike Dillencourt
- David Eppstein
- Michael Goodrich
- Dan Hirschberg
- Sandi Irani
- Stanislaw Jarecki
- Amelia Regan
- Vijay Vazirani
Affiliate Faculty
The dominant research theme in our group is the development and application of algorithmic, machine learning, and artificial intelligence methods for most areas of biomedical informatics and computational biology, including: chemoinformatics and drug discovery; bioinformatics and high-throughput omic analyses (transcriptomic, metabolomic, proteomic); regulatory and structural proteomics/genomics; integrative systems and network biology; biological systems modeling; computational neuroscience; biomedical imaging; medical and clinical informatics; diagnostic and predictive medicine; electronic medical records and health care. Projects are often carried out in close collaboration with lifescientists from the UCI Schools of Biology and Medicine and the Department of Pharmaceutical Sciences with an emphasis on clinical and translational applications.
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Computer architecture research studies various aspects of computer system definition, design and optimization. Computer Science faculty conduct research on multiple topics in this area, including processor and memory hierarchy micro-architecture, interplay between compilers and other system software and architecture, optimization for performance, power, and other constraints, heterogeneous computing using FPGAs and GPUs, architecture for emerging technologies including non-volatile memory, architectural aspects of computer security, concurrency and parallelism. Faculty in this area also design and build computer systems.
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The Computational Science research area at the UCI Computer Science Department includes:
- “Scientific computing”: Scalable numerical algorithms of all kinds, including optimization, differential equation solutions, and stochastic simulation; also many other computer science topics as shaped by the need for large-scale modeling and simulation in science, prominently including but not restricted to numerical computing.
- Computing that contributes in an essential way to new scientific knowledge and/or results (usually and most canonically, in the form of answers to well-formulated scientific questions) in the sciences, including extensive collaborations in astronomy, particle physics, chemistry, geoscience and climate science, biological sciences, and neuroscience among others.
- The integration of appropriately specialized methods from artificial intelligence, including both numerically intensive machine learning, and also computing with high level symbolic representations of mathematical models in science.
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Computer vision at UCI focuses on developing algorithms and systems for understanding images and video. Research spans from theoretical questions of perception and representation to practical applications including 3D reconstruction, human activity recognition, and biomedical image analysis.
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The Database and Information Systems group covers a broad range of topics related to modern data and information systems. ISG faculty research interests include data management, big data systems, multimedia data systems, secure data management, privacy-preserving computation in databases, middleware and distributed systems, concurrency, performance evaluation, data quality and cleaning, text analytics, and data visualization.
Much of our research is driven by creating a new generation of end-to-end systems capable of autonomously ingesting data from diverse sources (e.g., sensors, in sensed environment or wearable device contexts, or social media feeds, network monitors, and/or click-stream data), addressing issues related to the volume, velocity, veracity, and variety of such data, extracting and representing such data in a semantically enriched form, ensuring the privacy and security of such data, and building both real-time and analytic systems that scale to the applications’ needs.
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The mobile computing research at UCI covers a diverse set of research topics dealing with mobility and mobile devices such as smartphones, tablets, wearables, IoT devices, drones and vehicles. These topics include (but are not limited to) system software design, security, privacy, communications, applications and services.
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