School of Engineering
Showing 1-46 of 46 Results
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Gianluca Iaccarino
Professor of Mechanical Engineering and Director, Institute for Computational and Mathematical Engineering
Current Research and Scholarly InterestsComputing and data for energy, health and engineering
Challenges in energy sciences, green technology, transportation, and in general, engineering design and prototyping are routinely tackled using numerical simulations and physical testing. Computations barely feasible two decades ago on the largest available supercomputers, have now become routine using turnkey commercial software running on a laptop. Demands on the analysis of new engineering systems are becoming more complex and multidisciplinary in nature, but exascale-ready computers are on the horizon. What will be the next frontier? Can we channel this enormous power into an increased ability to simulate and, ultimately, to predict, design and control? In my opinion two roadblocks loom ahead: the development of credible models for increasingly complex multi-disciplinary engineering applications and the design of algorithms and computational strategies to cope with real-world uncertainty.
My research objective is to pursue concerted innovations in physical modeling, numerical analysis, data fusion, probabilistic methods, optimization and scientific computing to fundamentally change our present approach to engineering simulations relevant to broad areas of fluid mechanics, transport phenomena and energy systems. The key realization is that computational engineering has largely ignored natural variability, lack of knowledge and randomness, targeting an idealized deterministic world. Embracing stochastic scientific computing and data/algorithms fusion will enable us to minimize the impact of uncertainties by designing control and optimization strategies that are robust and adaptive. This goal can only be accomplished by developing innovative computational algorithms and new, physics-based models that explicitly represent the effect of limited knowledge on the quantity of interest.
Multidisciplinary Teaching
I consider the classical boundaries between disciplines outdated and counterproductive in seeking innovative solutions to real-world problems. The design of wind turbines, biomedical devices, jet engines, electronic units, and almost every other engineering system requires the analysis of their flow, thermal, and structural characteristics to ensure optimal performance and safety. The continuing growth of computer power and the emergence of general-purpose engineering software has fostered the use of computational analysis as a complement to experimental testing in multiphysics settings. Virtual prototyping is a staple of modern engineering practice! I have designed a new undergraduate course as an introduction to Computational Engineering, covering theory and practice across multidisciplanary applications. The emphasis is on geometry modeling, mesh generation, solution strategy and post-processing for diverse applications. Using classical flow/thermal/structural problems, the course develops the essential concepts of Verification and Validation for engineering simulations, providing the basis for assessing the accuracy of the results. -
Terrell Ibanez
Research Assistant, Program-Agrawala, M.
Staff, Program-Agrawala, M.BioResearch Assistant with Dr. Maneesh Agrawala
Stanford Human Computer Interaction Group / Brown Institute for Media Innovation
Past
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Teaching Fellow with Dr. Patrick S. Young
Stanford Digital Education Innovation Group / National Equity Education Lab -
Werner Ihme
Professor of Mechanical Engineering and of Photon Science
BioLarge-eddy simulation and modeling of turbulent reacting flows, non-premixed flame, aeroacoustics and combustion generated noise, turbulence and fluid dynamics, numerical methods and high-order schemes.
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Soh Young In
Research Engineer
Current Research and Scholarly InterestsMy research encompasses engineering, economics and public policy. It focuses on clean energy finance and entrepreneurship. My current research projects (1) investigate clean investment performance in the capital market; (2) analyze networks between investors and entrepreneurs; and (3) aim to create an innovative investment vehicle for clean technology startups. My ultimate aim is to catalyze private capital in clean energy so that the world can transition more rapidly to a low-carbon economy.
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Umran Inan
Professor of Electrical Engineering, Emeritus
BioThrough measurements in space and at multiple remote sites in Antarctica, Alaska, and the continental United States, Professor Inan studies the Earth's ionosphere and upper atmosphere. Of particular interest are ionospheric effects of lightning discharges and the recently discovered phenomena of electrical discharges and luminous glows at high altitudes above thunderstorms. He also studies physical processes in the Earth's near-space environment, including space weather effects on navigation and communication signals, electrodynamic coupling of the ionosphere to the magnetosphere, wave-induced precipitation of particles out of the radiation belts, and cyclotron resonant interactions between electromagnetic waves and energetic electrons. He is also involved in the development of ultra-low-power and miniaturized radio receivers for use in remote polar regions and on micro-satellites.
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Alexander Infanger
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioI am a second year PhD student at the Institute for Computational and Mathematical Engineering. I currently work on mean field models of (randomly) interacting agents with professor Peter Glynn.
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Dr. Alexander Ioannidis
Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)
Postdoctoral Scholar, Biomedical Data SciencesBioDr. Alexander Ioannidis (PhD, MPhil) earned his Ph.D. from Stanford University in Computational and Mathematical Engineering, where he teaches machine learning and data science as an Adjunct Professor in the School of Engineering. He also has an M.S. in Mgmt. Sci. and Eng. (Optimization) from Stanford. Prior to Stanford, he worked in superconducting computing logic and quantum computing at Northrop Grumman. He graduated summa cum laude from Harvard University in Chemistry and Physics and earned an M.Phil in Computational Biology and Diploma in Greek from the University of Cambridge. As a current research fellow in the Stanford School of Medicine (Department of Biomedical Data Science), his work focuses on the design of algorithms and application of computational methods for problems in genomics, clinical data science, and precision health with a particular focus on underrepresented populations in Oceania and Latin America.
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Waguih S Ishak
Adjunct Professor, Electrical Engineering
BioWaguih is a Division VP & Chief Technologist at Corning R&D Corporation. He received his B.Sc. Honor in EE from Cairo University in 1971, his B.Sc. in Math Honor from Ein Shams University in 1973, his M.Sc. and Ph.D. in EE from McMaster University in 1975, 1978 respectively. Waguih received the Stanford Executive Program in 1999 and the D.Sc. honoris Causa from McMaster University in 2018.
Waguih joined HP Labs in 1978 and became the Director of the Photonics & Electronics Research Lab in 1995. In 1999, he joined Agilent Labs as the VP of Communications and Optics Research and Avago Technologies at VP and CTO in 2005. In 2007, Waguih joined Corning Incorporated and established the Corning West Technology Center in Palo Alto staffed with scientists and engineers conducting research on displays, interconnects and sensors. His current activities at Corning R&D Corporation includes Photonics, Optoelectronics, High Speed Electronics, MEMS in addition to identifying new areas of growth (M&A, Talent Acquisition) and investigating computational techniques for material discovery.
Waguih is a Life Fellow of IEEE and received the Exemplary Service Award from UCSB in 2015. He is a member of the VCAT Committee of NIST. Waguih was inducted a Fellow of the Canadian Academy of Engineering in 2020 and was elected to the US National Academy of Engineering in 2022. -
Senem Isik
Undergraduate, Computer Science
Biowww.linkedin.com/in/senem/
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Omar Issa
Ph.D. Student in Civil and Environmental Engineering, admitted Spring 2022
Masters Student in Civil and Environmental Engineering, admitted Autumn 2020BioOmar Issa is a graduate student in the Structural Engineering and Geomechanics Program (SEG), with interests in Performance-Based Earthquake Engineering (PBEE), urban resilience, and disaster risk management.
