School of Engineering
Showing 101-200 of 888 Results
-
Kristin Burns
Design Group Manager, Mechanical Engineering - Design
Current Role at StanfordME Design Group Manager
Manager, Industry Affiliate Program for Teaching Design Thinking -
Scott Calvert
Sr. Associate Dean for Administration, School of Engineering
BioScott Calvert is responsible for school operations including finance, HR, IT, facilities, and research administration. He held a similar position at Stanford in the office of the vice provost for undergraduate education prior to joining the engineering team. Before coming to Stanford, Scott was a Navy fighter pilot for 21 years after receiving a commission through the NROTC program at Duke University where he earned a BSE in mechanical engineering. He made numerous deployments aboard aircraft carriers flying F-14s and F/A-18s, and between squadron assignments, he attended US Navy Test Pilot School on a cooperative program with the Naval Postgraduate School where he earned an MSAE in aeronautical engineering. In addition, he has an MBA from Columbia University.
-
Deland Chan
Researcher, Civil and Environmental Engineering
Adjunct, Program on Urban StudiesBioDeland Chan is a researcher in the Department of Civil & Environmental Engineering, and a Lecturer in the Program on Urban Studies.
Areas of Focus: Urban sustainability; land use and transportation planning; participatory planning; human-centered design -
Edward Y. Chang
Adjunct Professor, Computer Science
BioEdward Chang, a pioneer working on data-centric parallel machine learning since 2005. He is an adjunct professor at Stanford CS department. He also serves as the CTO of AILLY.ai. Prior to his current posts, Ed was the president of HTC Healthcare BU (DeepQ) from 2012 to 2021. Between 2006 and 2012 he served as a director of research at Google, leading research and development in areas including scalable machine learning, indoor localization, Google Q&A, and recommendation systems. Between 1999 and 2006, Ed was a full professor of Electrical & Computer Engineering at the University of California, Santa Barbara. He joined UCSB in 1999 after receiving his MS in CS and PhD in EE degrees, both from Stanford University. He is a recipient of the NSF Career award, Google Innovation award, US$1M Tricorder XPRIZE (AI for disease diagnosis) award, and ACM SIGMM test-of-time award. Ed is a Fellow of ACM and IEEE for his contributions to scalable machine learning and healthcare.
-
Arisa Sugiyama Chue
Student Employee, Computer Science
Undergraduate, Computer ScienceBioContact:
achue [at] cs [dot] stanford [dot] edu -
Kirsti Copeland
Associate Dean of Student Affairs, School of Engineering - Student Affairs
Current Role at StanfordAssociate Dean, Student Affairs, School of Engineering
-
Lori Cottle
Student Services Officer, Management Science and Engineering
Current Role at StanfordStudent Services Officer in the Department of Management Science and Engineering
Manages and directs student and academic services for 500 bachelor, master, and doctoral students, including degree progress, graduate student funding, graduate admission, course scheduling, commencement, graduate student orientation, and website content for admission and academics. Oversees graduate and undergraduate student policy compliance and procedures. Liaison between the students and the faculty, between the department and the School of Engineering, and between the department and central offices at Stanford. -
Marta D'Elia
Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)
BioI’m a research/computational scientist working on the design and analysis of models and data-driven algorithms for the simulation of complex, multiscale and multiphysics problems. My background and training have foundations in Numerical Analysis, Scientific Computing, Inverse Problems, Control and Optimization, and Uncertainty Quantification. In the past five years I have focused on Scientific Machine Learning (SciML) and Deep Learning. I am an expert in Nonlocal/Fractional Modeling and Simulation (10 years) with application to Continuum Mechanics, Subsurface Transport, Image Processing, and Turbulence. I have a master's degree in Mathematical Engineering from Politecnico di Milano (2007) and a PhD in Applied Mathematics from Emory University (2011).
-
Beverly Davis
Administrative Associate, Electrical Engineering
Current Role at StanfordFaculty Administrator for Professors Subhasish Mitra and Krishna Shenoy
-
John DeSilva
Systems & Network Manager, Electrical Engineering
Current Role at StanfordSystems & Network Manager, David Packard Electrical Engineering Building
-
Stefan P. Domino
Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)
BioDr. Domino’s research interest rests within low-Mach fluid mechanics methods development for complex systems that drive the coupling of mass, momentum, species and energy transport. His core research resides within the intersection of physics model development, numerical methods research, V&V techniques exploration, and high performance computing and coding methods for low-Mach turbulent flow applications. Stefan also supports the co-teaching of ME469, Computational Methods in Fluid Mechanics, while continuing his primary career at Sandia National Laboratories as a Distinguished Member of the Technical Staff.
Education:
University of Utah
Ph.D. Department of Chemical Engineering, 1999
"Methods towards improved simulations for the oxides of nitrogen in pulverized-coal furnaces"
Professor Philip J. Smith, Advisor
Select Recent Publications:
* Scott, S., Domino, S. P., "A computational examination of large-scale pool fires: variations in crosswind velocity and pool shape", Flow, 2022, https://doi.org/10.1017/flo.2022.26.
* Domino, S. P., Horne, W., "Development and deployment of a credible unstructured, six-DOF, implicit low-Mach overset simulation tool for wave energy applications", Renew. Energy, 2022, https://doi.org/10.1016/j.renene.2022.09.005.
* Hubbard, J., Hansen, M., Kirsch, J., Hewson, J., Domino, S. P., “Medium scale methanol pool fire model validation”, J. Heat Transfer, 2022, https://doi.org/10.1115/1.4054204.
* Barone, M., Ray, J., Domino, S. P., "Feature selection, clustering, and prototype placement for turbulence datasets", AIAA Journal, 2021, https://doi.org/10.2514/1.J060919.
* Domino, S. P., Hewson, J., Knaus, R., Hansen, M., "Predicting large-scale pool fire dynamics using an unsteady flamelet- and large-eddy simulation-based model suite", Physics of Fluids, 2021, https://doi.org/10.1063/5.0060267 (Editor's pick: August 4, 2021).
* Domino, S. P., "A case study on pathogen transport, deposition, evaporation and transmission: linking high-fidelity computational fluid dynamics simulations to probability of infection", Int. J. CFD, 2021, https://doi.org/10.1080/10618562.2021.1905801.
* Domino, S. P., Pierce, F., Hubbard, J., "A multi-physics computational investigation of droplet pathogen transport emanating from synthetic coughs and breathing", Atom. Sprays, 2021, https://doi.org/10.1615/AtomizSpr.2021036313.
* Jofre, L., Domino, S. P., Iaacarino, G., "Eigensensitivity analysis of subgrid-scale stresses in large-eddy simulation of a turbulent axisymmetric jet", Int. J. Heat Mass, 2019, https://doi.org/DOI:10.1016/J.IJHEATFLUIDFLOW.2019.04.014.
* Domino, S. P., Sakievich, P., Barone, M., "An assessment of atypical mesh topologies for low-Mach large-eddy simulation", Comp. Fluids, 2019, https://doi.org/10.1016/j.compfluid.2018.12.002.
* Domino, S. P., "Design-order, non-conformal low-Mach fluid algorithms using a hybrid CVFEM/DG approach ", J. Comput. Physics, 2018, https://doi.org/10.1016/j.jcp.2018.01.007.
* Jofre, L., Domino, S. P., Iaacarino, G., "A Framework for Characterizing Structural Uncertainty in Large-Eddy Simulation Closures", Flow Turb. Combust., 2018, https://doi.org/10.1007/s10494-017-9844-8.
CV: https://github.com/spdomin/Present/blob/master/cv/dominoCV.pdf
