Yaser S. Abu-Mostafa
Professor of Electrical Engineering and Computer Science
The Learning Systems Group at Caltech studies the theory and applications of Machine Learning (ML). The theory of ML uses mathematical and statistical tools to estimate the information (data and hints) needed to learn a given task. The applications are very diverse and continue to expand to every corner of science and technology. The group works on medical applications of ML, on e-commerce and profiling applications, and on computational finance, among other domains. These applications use the latest techniques of neural networks and other models, and often give rise to novel ML theory and algorithms. Our latest projects are data-driven approach to predicting the spread of COVID-19 in every U.S. county, and ML approach to medical diagnostics using low-resolution ultrasound.
Katherine L. (Katie) Bouman
Assistant Professor of Computing and Mathematical Sciences, Electrical Engineering and Astronomy; Rosenberg Scholar
Katie Bouman's research focuses on computational imaging: designing systems that tightly integrate algorithm and sensor design, making it possible to observe phenomena previously difficult or impossible to measure with traditional approaches. Imaging plays a critical role in advancing science. However, as science continues to push boundaries, traditional sensors are reaching the limits of what they can measure. Katie's group combines ideas from signal processing, computer vision, machine learning, and physics to find and exploit hidden signals for both scientific discovery and technological innovation. For example, in collaboration with the Event Horizon Telescope, Katie's group is helping to build a computational earth-sized telescope that is taking the first images of a black hole and is analyzing its images to learn about general relativity in the strong-field regime.
Jehoshua (Shuki) Bruck
Gordon and Betty Moore Professor of Computation and Neural Systems and Electrical Engineering
Professor Bruck focuses on information theory and systems and computation in biological networks
Professor of Computing and Mathematical Sciences and Electrical Engineering
Chandrasekaran’s research interests broadly lie in mathematical optimization and its interface with topics in the information sciences. Specific areas of interest include convex optimization, mathematical signal processing, graphs and combinatorial optimization, applied algebraic geometry, computational harmonic analysis, and statistical inference.
Jean-Lou Chameau Professor of Control and Dynamical Systems, Electrical Engineering, and Bioengineering
Doyle's research is on theoretical foundations for complex tech, bio, med, neuro, and social networks integrating control, communications, computing, and multiscale physics. Layered architectures such as brains integrate high level planning with fast lower level sensing, reflex, and action and facilitate learning, adaptation, augmentation (tools), and teamwork, despite being implemented in energy efficient hardware with sparse, quantized, noisy, delayed, and saturating sensing, communications, computing, and actuation, on time scales from milliseconds to minutes to days. We are developing a mathematical framework that deals with all of these features and constraints in a coherent and rigorous way with broad applications in science, technology, ecology, and society.
George Van Osdol Professor of Electrical Engineering
Professor Effros' research interests include information theory, data compression, and network communications.
Andrew and Peggy Cherng Professor of Electrical Engineering and Medical Engineering; Executive Officer for Electrical Engineering; Director, Center for Sensing to Intelligence
Professor Emami works to design and develop high-performance, reliable, low-power mixed-mode circuits in highly scalable technologies that can lead to the advancement of theory and creation of new tools. The applications for this work cover everything from mixed-signal integrated circuits for digital data communication, low-power circuit and system solutions, very-large-scale-integrated (VSLI) systems, circuits at the interfaces, optoelectronics, and biomedical implants.
Professor of Applied Physics and Electrical Engineering
Faraon's research interests are in solid state quantum optics and nano-photonics. Applications include quantum information processing, on-chip optical signal processing at ultra-low power levels, energy efficient sensors, bio-photonics.
Teaching Professor of Electrical Engineering
Bren Professor of Electrical Engineering and Medical Engineering; Co-Director, Space-Based Solar Power Project
Professor Hajimiri focuses on integrated circuits and their applications in various disciplines, such as biotechnology, communications, and sensing, spanning a wide range of frequencies from high-speed and RF to low-frequency high-precision circuits. We investigate both the theoretical analysis of the problems in integrated circuits as well as practical implementations of new systems in very large scale integrated circuits.
Mose and Lillian S. Bohn Professor of Electrical Engineering and Computing and Mathematical Sciences
Hassibi's research spans various aspects of information theory, signal processing, control theory, and machine learning. He has made contributions to the theory and practice of wireless communications and wireless networks, as well as to robust control, adaptive filtering and neural networks, network information theory, coding for control, phase retrieval, structured signal recovery, high dimensional statistics, epidemic spread in complex networks, and DNA micro-arrays. On the mathematical side, he is interested in linear algebra, with an emphasis on fast algorithms, random matrices, and group representation theory.
Professor of Electrical Engineering and Computing and Mathematical Sciences
Victoria Kostina's research spans information theory, coding, and wireless communications. Her current efforts explore one of the most exciting avenues in today's information theory: the nonasymptotic regime. Leveraging tools from the theory of random processes and concentration of measure, she pursues fundamental insight into modern delay-constrained communication systems.
Frank J. Gilloon Professor of Computing and Mathematical Sciences and Electrical Engineering
Power systems, cyber-physical systems, network architecture, energy-efficient networking.
Assistant Professor of Electrical Engineering and Applied Physics
Professor Marandi’s research is focused on fundamental technological developments in Nonlinear Photonics through exploring the frontiers of ultrafast optics, optical frequency combs, quantum optics, optical information processing, mid-infrared photonics, and laser spectroscopy. His team works on realization of novel nonlinear photonic devices and systems for applications ranging from sensing to unconventional computing and information processing, as well as advancing the theoretical understanding of them.
Assistant Professor of Electrical Engineering and Applied Physics
Mirhosseini's research is on the experimental aspects of quantum engineering. His current research focuses on developing and combining superconducting circuits with chip-based phononic and photonic devices at milikelvin temperatures. Long term research goal is to realize interfaces between circuit quantum electrodynamics and quantum optics for applications in quantum computing, communication, and sensing.
Allen E. Puckett Professor of Electrical Engineering
Professor Perona's research focusses on vision: how do we see and how can we build machines that see.
Professor Perona is currently interested visual recognition, more specifically visual categorization. He is studying how machines can learn to recognize frogs, cars, faces and trees with minimal human supervision, and how machines can learn from human experts. His project `Visipedia' has produced two smart device apps (iNaturalist and Merlin Bird ID) that anyone can use to recognize the species of plants and animals from a photograph.
In collaboration with Professors Anderson and Dickinson, professor Perona is building vision systems and statistical techniques for measuring actions and activities in fruit flies and mice. This enables geneticists and neuroethologists to investigate the relationship between genes, brains and behavior.
Professor Perona is also interested in studying how humans perform visual tasks, such as searching and recognizing image content. One of his recent projects studies how to harness the visual ability of thousands of people on the web.
Bernard Neches Professor of Electrical Engineering, Applied Physics and Physics
Professor Scherer's group focuses on the application of microfabrication to integrated microsystems. Recently, his group has specialized on developing sensors and diagnostic tools that can be used for low-cost point-of-care disease detection as well as precision health monitoring.
Professor Scherer has pioneered microcavity lasers and filters, and now his group works on integration of microfluidic chips with electronic, photonic and magnetic sensors. His group has also developed silicon nanophotonics and surface plasmon enhanced light emitting diodes, and has perfected the fabrication and characterization of ultra-small structures by lithography and electron microscopy.
Presently, his group works on integration of microfluidic chips with electronic, photonic and magnetic sensors. His group has also developed silicon nanophotonics and surface plasmon enhanced light emitting diodes, and has perfected the fabrication and characterization of ultra-small structures by lithography and electron microscopy.
Anna L. Rosen Professor of Electrical Engineering and Medical Engineering; Andrew and Peggy
Cherng Medical Engineering Leadership Chair; Executive Officer for Medical Engineering
Professor Tai’s research uses MEMS/NEMS technologies for medical applications. He has built the Caltech MEMS Laboratory (http://mems.caltech.edu), an 8,000-square-foot facility completely dedicated to medical devices. This facility has a clean-room (~3,000 sq. ft), CAD lab, a measurement/test/metrology lab, and a biological lab. It supports more than 20 researchers (graduate students, postdoctoral scholars, visiting scholars and industrial members) to develop innovative MEMS/NEMS and medical devices. Examples of MEMS/NEMS devices include micromotors, microphones, neural chips, micro relays, micro power generators, micro valves, micro pumps, etc. Over the past 15 years, Prof. Tai has launched a major research effort to apply all these technologies to medical devices. Research examples include HPLC-on-a-chip, blood-labs-on-a-chip, and micro drug delivery. More specifically, Tai’s group has had a major program for miniature or micro implants. To this end, Prof. Tai collaborates with many medical doctors and biologist (such as from USC, UCLA, and industries) to develop integrated implants for cortical, retinal and spinal applications. Micro implant devices included spinal neural stimulators, ECG implants, retinal prosthetic devices, intraocular lenses, etc. Tai's group is always looking for students, postdocs and researchers who love technology and enjoy building medical devices.
P. P. Vaidyanathan
Kiyo and Eiko Tomiyasu Professor of Electrical Engineering
Theoretical and computer-oriented work on a wide variety of problems in digital signal processing. Sparse sensor arrays, sparse signal reconstruction, compressive sensing, array signal processing, multirate digital filters and filter banks, radar signal processing, genomic signal processing, number theoretical signal processing, spectrum sensing, and graph signal processing.
Bren Professor of Medical Engineering and Electrical Engineering
Professor Wang’s research focuses on biomedical imaging. In particular, his lab has developed photoacoustic imaging that allows peering noninvasively into biological tissues. Compared to conventional optical microscopy, his techniques have increased the penetration by nearly two orders of magnitude, breaking through the optical diffusion limit. The Wang lab has invented or discovered functional photoacoustic tomography, 3D photoacoustic microscopy, optical-resolution photoacoustic microscopy, photoacoustic Doppler effect, photoacoustic reporter gene imaging, microwave-induced thermoacoustic tomography, universal photoacoustic reconstruction algorithm, time-reversed ultrasonically encoded optical focusing, and compressed ultrafast photography (world’s fastest camera capable of 10 trillion frames per second). Combining rich optical contrast and scalable ultrasonic resolution, photoacoustic imaging is the only modality capable of providing multiscale high-resolution structural, functional, metabolic, and molecular imaging of organelles, cells, tissues, and organs as well as small-animal organisms in vivo. Broad applications include early-cancer detection, surgical guidance, and brain imaging. For example, it can help surgeons effectively remove breast cancer lumps, reducing the need for follow-up surgeries. Professor Wang’s Monte Carlo model of photon transport in scattering media is used worldwide as a standard tool.
Thomas G. Myers Professor of Electrical Engineering, Bioengineering, and Medical Engineering
Professor Yang's research area is biophotonics—the imaging and extraction of information from biological targets through the use of light. His research efforts can be categorized into two major groups: chip-scale microscopy imaging and time-reversal based optical imaging.
Martin and Eileen Summerfield Professor of Applied Physics and Electrical Engineering
Professor Amnon Yariv's research focuses on the theoretical and technological underpinning of optical communication. Present projects include: new types of semiconductor lasers, optical phase-lock systems and coherent photonics, hybrid Si/III-V devices for lasers, detectors and modulation, "Slow" light propagation in artificial periodic dielectric waveguides.