School of Engineering
Showing 4,861-4,880 of 6,462 Results
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Brian Sedar
Adjunct Professor
Bio35 years of experience in EPC work spanning project controls, procurement, project development, construction, project management and operations. Bechtel Partner and Project Director for three of Bechtel’s largest international transportation infrastructure projects (click on Projects under Research), High Speed 1 in the UK, Hamad International Airport in Qatar and Upgrades for three London Underground lines. Served as General Manager of Bechtel’s Telecoms & Industrial business, Global Procurement Manager and launched its Global Water business. Now one of Stanford's most experienced construction practitioner-instructors.
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Luise Avelina Seeker
Senior Basic Life Research Scientist
BioLuise Seeker is a trained vet from Berlin, Germany with a strong interest in researching ageing at a cellular level. She obtained a PhD in Genomics from the University of Edinburgh in 2018 for studying telomeres, their heritability and their power to predict lifespan (supervised by Profs. Georgios Banos, Dan Nussey, Mike Coffey and Bruce Whitelaw). She joined Prof. Anna Williams' lab at the University of Edinburgh as a postdoc and investigated transcriptional changes with ageing in the human central nervous system.
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Samuel Seidel
Adjunct Professor
BioSam is the K12 Lab Director of Strategy + Research at the Stanford d.school, and co-author of Creative Hustle (Ten Speed Press, 2022), Changing the Conversation About School Safety (Stanford d.school, 2022), Hip Hop Genius 2.0 (Rowman & Littlefield, 2022), and Hip Hop Genius: Remixing High School Education (Rowman & Littlefield, 2011).
He speaks internationally about education, race, culture, systems, and design.
Sam graduated from Brown University with a degree in Education and a teaching certification, was a Visiting Practitioner at Harvard Graduate School of Education, a Scholar-in-Residence at Columbia University's Institute for Urban and Minority Education, and a Community Fellow at the Rhode Island School of Design. -
Serdar Selamet
Adjunct Lecturer, Civil and Environmental Engineering
BioAssoc. Professor with focus on Fire Engineering, Steel Structures and Numerical Modeling. Dr. Selamet specializes in fire protection engineering with focus on buildings and structures. His areas of expertise include heat transfer analysis, stability and critical temperature assessment of structural members, passive fire protection, building envelope (i.e. façade) fires, performance-based structural analysis under fire conditions and house fires in wildland urban interface. He specializes in providing origin and cause determinations for fires and explosions. Dr. Selamet has expertise in thermo-mechanical modeling and response using finite element software Abaqus and OpenSees Fire. In addition, he has gained experience using computer zone models such as OZone and Consolidated Model of Fire and Smoke Transport (CFAST) to simulate compartment fire dynamics.
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Austin Sendek
Adjunct Professor, Materials Science and Engineering
BioAustin Sendek is Adjunct Professor of Materials Science & Engineering at Stanford University. His research and teaching focuses broadly on harnessing the power of machine learning and A.I. to accelerate the design and discovery of new materials for decarbonizing the global economy. He serves as an advisor and collaborator on several initiatives at Stanford, spanning from fundamental materials science research to technology entrepreneurship mentoring. He is also the Founder and Chief Executive Officer of Aionics, Inc., a technology company dedicated to designing high performance batteries with A.I. and high performance compute (HPC)-based quantum mechanical simulation. He was included on the 2019 list of Forbes 30 Under 30 in Energy, and served as a Guest Lecturer in Mechanical Engineering at Columbia University in 2019 and 2020. He holds a B.S. in Applied Physics from UC Davis and a Ph.D. in Applied Physics from Stanford University.
Upcoming courses:
FALL 2023: Materials Science and Engineering 331: Computational materials science at the atomic scale. Introduction to computational materials science methods at the atomistic level, with an emphasis on quantum methods. A brief history of computational approaches is presented, with deep dives into the most impactful methods: density functional theory, tight-binding, empirical potentials, and machine learning-based property prediction. Computation of optical, electronic, phonon properties. Bulk materials, interfaces, nanostructures. Molecular dynamics. Prerequisites - undergraduate quantum mechanics. Experience writing code is preferred but not required.
Select publications:
AD Sendek, B Ransom, ED Cubuk, LA Pellouchoud, J Nanda, EJ Reed. Machine learning modeling for accelerated battery materials design in the small data regime. ACS Energy Materials 12, 2200553 (2022).
AD Sendek, Q Yang, ED Cubuk, KAN Duerloo, Y Cui, EJ Reed. Holistic computational structure screening of more than 12000 candidates for solid lithium-ion conductor materials. Energy & Environmental Science 10 (1), 306-320 (2017).
AD Sendek, ED Cubuk, ER Antoniuk, G Cheon, Y Cui, EJ Reed. Machine learning-assisted discovery of solid Li-ion conducting materials. Chemistry of Materials 31 (2), 342-352 (2018).
AD Sendek, G Cheon, M Pasta, EJ Reed. Quantifying the search for solid Li-ion electrolyte materials by anion: a data-driven perspective. The Journal of Physical Chemistry C 124 (15), 8067-8079 (2020).
AD Sendek, ER Antoniuk, ED Cubuk, B Ransom, BE Francisco, J Buettner-Garrett, Y Cui, EJ Reed. Combining Superionic Conduction and Favorable Decomposition Products in the Crystalline Lithium–Boron–Sulfur System: A New Mechanism for Stabilizing Solid Li-Ion Electrolytes. ACS Applied Materials & Interfaces 12 (34), 37957-37966 (2020).
J Xie, AD Sendek, ED Cubuk, X Zhang, Z Lu, Y Gong, T Wu, F Shi, W Liu, EJ Reed, Y Cui. Atomic Layer Deposition of Stable LiAlF4 Lithium Ion Conductive Interfacial Layer for Stable Cathode Cycling. ACS Nano 11 (7), 7019-7027 (2017).
B Ransom, N Zhao, AD Sendek, ED Cubuk, W Chueh, EJ Reed. Two low-expansion Li-ion cathode materials with promising multi-property performance. MRS Bulletin (2021).
ED Cubuk, AD Sendek, EJ Reed. Screening billions of candidates for solid lithium-ion conductors: A transfer learning approach for small data. The Journal of Chemical Physics 150 (21), 214701 (2019).
