School of Engineering
Showing 2,601-2,700 of 6,464 Results
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Seraphine Kamayirese
Postdoctoral Scholar, Bioengineering
BioI am a protein and peptide biochemist with a focus on biophysical characterization, structural activity relationship (SAR)study, and design and optimization of peptides targeting disease-relevant proteins. My Ph.D. research focused on designing and optimizing ligands that target the 14-3-3ε protein to disrupt its interaction with the cell cycle regulator CDC25A, an interaction known to suppress apoptosis in squamous cell carcinoma. Inhibiting this pathway is expected to promote apoptosis in cutaneous squamous cell carcinoma. At Stanford University, I am expanding my research to study antimicrobial peptidoids and peptides such as LL-37 and their interactions with amyloid beta peptides, and the potential application of the resulting complexes as antiviral therapeutics. I bring strong experience in rational peptide design, structural activity relationship studies, molecular dynamics simulations, peptides and peptoids synthesis and purification, protein expression, and biophysical assays. My research has led to multiple peer-reviewed publications, presentations at national and international conferences, and awards, including the Young Investigator Poster Award at the American Peptide Symposium.
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Theodore Kamins
Adjunct Professor, Electrical Engineering
Researcher, Hansen Experimental Physics Laboratory (HEPL)BioTed received his degrees from the University of California, Berkeley. He then joined the Research and Development Laboratory of Fairchild Semiconductor, where he worked with epitaxial and polycrystalline silicon before moving to Hewlett-Packard Laboratories, where he worked on numerous semiconductor material and device topics. Before moving to Stanford, he was a Principal Scientist at Hewlett-Packard in the Information and Quantum Systems Laboratory, where he conducted research on advanced nanostructured electronic and sensing materials and devices.
Ted is co-author with R. S. Muller of the textbook "Device Electronics for Integrated Circuits" and is author of the book "Polycrystalline Silicon for Integrated Circuits and Displays." He is a Fellow of the IEEE and a Fellow of the Electrochemical Society. He has taught at the University of California, Berkeley, and at Stanford University and has been an Associate Editor of the IEEE Transactions on Electron Devices. -
Andrei Kanavalau
Ph.D. Student in Electrical Engineering, admitted Autumn 2020
BioPhD candidate in Electrical Engineering at Stanford working across LLMs/Transformers, constrained optimization, and control.
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Hangoo Kang
Masters Student in Computer Science, admitted Autumn 2025
BioHangoo Kang is a computer science MS student at Stanford University with a strong interest in building trustworthy and efficient AI systems. He earned his B.S. in Computer Science from the University of Illinois Urbana-Champaign (UIUC). His academic and research pursuits span reinforcement learning (RL), reinforcement learning from human feedback (RLHF), agentic AI, large language models (LLMs), and multi-modal models.
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Hyunmin Kang
Affiliate, Center for Sustainable Development and Global Competitiveness
BioHyunmin Kang is an Assistant Professor in the Department of Psychology at Daegu Univeristy in South Korea. He received his Ph.D. in Cognitive Engineering at Yonsei University. He conducts research within the Human-Urban Interaction pillar, examining the interactions between humans, cities, culture, transportation, technology, and services based on psychological and human factors theories. His research particularly utilizes quantitative and qualitative analysis, big data analytics, and metaverse technologies. His goal is to conduct research that contributes to improving the lives of people living in urban environments by deepening the understanding of human behavior.
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Kshitij Kant
Undergraduate, Computer Science
Undergraduate, Economics
Student Employee, Hoover InstitutionBioHi! I'm Kshitij, and I am pursuing Economics and Computer Science at Stanford University. I'm interested in understanding the intersection of technology and economic systems, and how they shape our world. I am happy to collaborate on ideas or create something big! Feel free to reach out to me on kkant@stanford.edu.
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Zerina Kapetanovic
Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science and of Geophysics
BioZerina Kapetanovic is an Assistant Professor in the Department of Electrical Engineering at Stanford University working in the area of low-power wireless communication, sensing, and Internet of Things (IoT) systems. Prior to starting at Stanford, Kapetanovic was a postdoctoral researcher at Microsoft Research in the Networking Research Group and Research for Industry Group.
Kapetanovic's research has been recognized by the Yang Research Award, the Distinguished Dissertation Award from the University of Washington. She also received the Microsoft Research Distinguished Dissertation Grant and was selected to attend the 2020 UC Berkeley Rising Stars in EECS Workshop. Kapetanovic completed her PhD in Electrical Engineering from the University of Washington in 2022. -
Shraman Kar
Undergraduate, Computer Science
BioShraman is passionate about building technology projects using artificial intelligence and state-of-the-art large language models to solve problems of the community and the environment. Shraman's passion project, Foodle (www.thefoodle.org) built on technology and artificial intelligence could make a difference in solving hunger and food waste at the same time. He wanted to share his knowledge and ideas with as many youths as possible so that together they can build technology products for the communities.
To unleash the potential of AI for social good Shraman cofounded a 501(c)(3) organization Community AI (www.thecommunityai.org) in the year 2000. They created a customized course of Machine Learning suitable for a wide range of school-going youth and delivered via free camps. The camps became very popular and they could mentor students from 58 countries and all 50 US states. The members have several projects to help the community and the environment- ranging from automatic trash segregation to detecting wildfire before it happens and many more. To encourage more students to build AI-driven projects we provided funds/prizes via the AI Fair called Sustainability and Community AI Fair (www.communityaifair.com). -
Shreyas Kar
Masters Student in Computer Science, admitted Autumn 2023
BioShreyas is an undergraduate Computer Science and Math (double major) student and a researcher at Stanford Partnership in AI-Assisted Care (PAC - https://www.med.stanford.edu/pacresearch.html) group, as part of Stanford Vision and Learning (SVL) lab under Professor Fei-Fei Li and Professor Ehsan Adeli. He is interested in using Artificial Intelligence & Technology to better our community and environment. He founded a 501(c)(3) non-profit organization, Community AI (https://www.thecommunityai.org/), to unleash the power of artificial intelligence for social good and empower youth. Earlier, he worked for the PORTAL group at Harvard Medical School as a member of Research Science Institute (RSI). His research there focussed on quantifying the impact of EHR-Discontinuity on prediction modeling algorithms. His LinkedIn profile is: https://www.linkedin.com/in/shreyas-kar/
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Barbara A. Karanian Ph.D. School of Engineering, previously Visiting Professor
Adjunct Lecturer, Design Courses
Lecturer, d.schoolBioBarbara A. Karanian, Ph.D. Lecturer and previously Visiting Professor in Mechanical Engineering Design. Barbara's research focuses on four areas within the psychology of work: 1) grounding a blend of theories from social-cognitive psychology, engineering design, and art to show how cognition affects workplace decisions; 2) changing the way people understand how emotions and motivation influence their work; 3) shifting norms of leaders involved in entrepreneurial minded action; 4) developing teaching methods with a storytelling focus in engineering education.
Barbara teaches and studies how a person’s behavior at work is framed around a blend of applied theoretical perspectives from cognitive and social psychology; engineering design thinking and art. Her storytelling methods provides a form to explore and discover the practices of inquiry and apply them to how individuals behave within organizations, and the ways organizations face challenges. Active storytelling and self-reflective observation helps student and industry leaders to iterate and progress from the early, inspirational phases of projects to reality. Founder of the Design Entrepreneuring Studio (http://web.stanford.edu/~karanian/ ), Barbara shows how storytelling fuels design and innovation.
With her students, she co-authored, "The Power of First Moments in Entrepreneurial Storytelling." Findings show that vulnerability amplifies engagement. For ME 236- Tales to Design Cars By- the opportunity to investigate a person’s relationship with cars through the application of research and a generative storytelling focus-students find the inspiration for designing a new automotive experience. For ME 243 Designing Emotion (for Reactive Car Interfaces) students learn to "know" emotion by operationally defining emotions in self and other: to decipher the impact of emotion in the future of driving or mobility experience.
Barbara received her B.A. in the double major of Experimental Psychology and Fine Arts from the College of the Holy Cross, her M.A. in Art Therapy from Lesley University, and her Ph.D. in Educational Studies in Organizational Behavior from Lesley University. She was a Teaching Fellow in Power and Leadership at Harvard University's GSE.
Awards:
2019 "Provoked Emotion in Student Stories Reveal Gendered Perceptions of What it Means to Be Innovative in Engineering," Karanian, B., Parlier, A., Taajamaa, V., Eskandari, M. 1st Place Research Paper - distinction, ASEE Entrepreneurship and Innovation Division
2013 Best Teaching Strategies Paper award, ASEE Entrepreneurship and Innovation Division -
Amin Karbasi
Adjunct Professor, Management Science and Engineering
BioAn academic entrepreneur, Amin Karbasi is a Senior Director at Cisco Foundation AI, an adjunct professor at Stanford, and serves on the scientific board of the Simons Institute for the Theory of Computing. Previously, he served as Chief Scientist at Robust Intelligence (acquired by Cisco in 2024). Before that, he was a professor at Yale University and a research staff scientist at Google. He has received the National Science Foundation (NSF) CAREER Award, Office of Naval Research (ONR) Young Investigator Award, Air Force Office of Scientific Research (AFOSR) Young Investigator Award, DARPA Young Faculty Award, National Academy of Engineering Grainger Award, Amazon Research Award, Nokia Bell-Labs Award, Google Faculty Research Award, Microsoft Azure Research Award, Yale innovation award, Simons Research Fellowship, and ETH Research Fellowship. His work has also been recognized with paper awards from Graphs in Biomedical Image Analysis (GRAIL), Medical Image Computing and Computer Assisted Interventions Conference (MICCAI), International Conference on Artificial Intelligence and Statistics (AISTATS), IEEE ComSoc Data Storage, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), ACM SIGMETRICS, and IEEE International Symposium on Information Theory (ISIT). His Ph.D. thesis received the Patrick Denantes Memorial Prize from the School of Computer and Communication Sciences at EPFL, Switzerland.
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Hemamala Karunadasa
J.G. Jackson and C.J. Wood Professor of Chemistry and Senior Fellow at the Precourt Institute for Energy and Professor, by courtesy, of Materials Science and Engineering
BioProfessor Hema Karunadasa works with colleagues in materials science, earth science, and applied physics to drive the discovery of new materials with applications in clean energy. Using the tools of synthetic chemistry, her group designs materials that couple the structural tunability of organic molecules with the diverse electronic and optical properties of extended inorganic solids. This research targets materials such as sorbents for capturing environmental pollutants, phosphors for solid-state lighting, and absorbers for solar cells.
Hemamala Karunadasa studied chemistry and materials science at Princeton University (A.B. with high honors 2003; Certificate in Materials Science and Engineering 2003), where her undergraduate thesis project with Professor Robert J. Cava examined geometric magnetic frustration in metal oxides. She moved from solid-state chemistry to solution-state chemistry for her doctoral studies in inorganic chemistry at the University of California, Berkeley (Ph.D. 2009) with Professor Jeffrey R. Long. Her thesis focused on heavy atom building units for magnetic molecules and molecular catalysts for generating hydrogen from water. She continued to study molecular electrocatalysts for water splitting during postdoctoral research with Berkeley Professors Christopher J. Chang and Jeffrey R. Long at the Lawrence Berkeley National Lab. She further explored molecular catalysts for hydrocarbon oxidation as a postdoc at the California Institute of Technology with Professor Harry B. Gray. She joined the Stanford Chemistry Department faculty in September 2012. Her research explores solution-state routes to new solid-state materials.
Professor Karunadasa’s lab at Stanford takes a molecular approach to extended solids. Lab members gain expertise in solution- and solid-state synthetic techniques and structure determination through powder- and single-crystal x-ray diffraction. Lab tools also include a host of spectroscopic and electrochemical probes, imaging methods, and film deposition techniques. Group members further characterize their materials under extreme environments and in operating devices to tune new materials for diverse applications in renewable energy.
Please visit the lab website for more details and recent news. -
Arvind Karunakaran
Assistant Professor of Management Science & Engineering and, by courtesy, of Sociology
Current Research and Scholarly InterestsAreas of Research:
Sociology of Work and Occupations/Professions
Organization Theory
Technological/Organizational change
Topics:
Authority in the Workplace
Accountability (Professional, Organizational, Algorithmic)
Phenomena:
Social/Algorithmic Evaluation (of Job applicants, Employees, Startups)
Human-AI augmentation and Reskilling
Social Media Scrutiny
Conflicts in Symmetrical vs. Asymmetrical Relations -
Riitta Katila
W.M. Keck Professor and Professor of Management Science and Engineering
Current Research and Scholarly InterestsThe question that drives Prof. Katila's research is how technology-based firms with significant resources can stay innovative. Her work lies at the intersection of the fields of technology, innovation, and strategy and focuses on strategies that enable organizations to discover, develop and commercialize technologies. She combines theory with longitudinal large-sample data (e.g., robotics, biomedical, platform and multi-industry datasets), background fieldwork, and state-of-the-art quantitative methods. The ultimate objective is to understand what makes technology-based firms successful.
To answer this question, Prof. Katila conducts two interrelated streams of research. She studies (1) strategies that help firms leverage their existing resources (leverage stream), and (2) strategies through which firms can acquire new resources (acquisition stream) to create innovation. Her early contributions were firm centric while recent contributions focus on innovation in the context of competitive interaction and ecosystems.
Professor Katila's work has appeared in the Academy of Management Journal, Administrative Science Quarterly, Organization Science, Strategic Entrepreneurship Journal, Strategy Science, Strategic Management Journal, Research Policy and other outlets. In her work, supported by the National Science Foundation, Katila examines how firms create new products successfully. Focusing on the robotics and medical device industries, she investigates how different search approaches, such as the exploitation of existing knowledge and the exploration for new knowledge, influence the kinds of new products that technology-intensive firms introduce. -
Noa Katz
Postdoctoral Scholar, Chemical Engineering
BioNoa Katz is a Stanford Science Fellow and an EMBO and Fulbright postdoctoral scholar at Stanford University. She implements biomolecular gene circuits to study and manipulate the central nervous system to promote therapeutic applications for neural repair and autism.
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Amit Kaushal
Adjunct Professor, Bioengineering
Casual - Non-Exempt, Continuing StudiesBioAmit Kaushal, MD, PhD is Clinical Associate Professor of Medicine (Stanford-VA) and Adjunct Professor of Bioengineering at Stanford University. Dr. Kaushal's work spans clinical medicine, teaching, research, and industry.
He helped launch Stanford School of Engineering's undergraduate major in Biomedical Computation (bmc.stanford.edu) and has served as long-time director of the major. The major has graduated over 70 students since inception and was recently featured in Nature (https://go.nature.com/2P2UnRu).
His research interests are in utilizing health data in novel and ethical ways to improve the practice of medicine. He is a faculty executive member of Stanford's Partnership for AI-Assisted Care (aicare.stanford.edu). Recently, he has also been working with public health agencies to improve scale and speed of contact tracing for COVID-19.
He has previously held executive and advisory roles at startups working at the interface of technology and healthcare.
He continues to practice as an academic hospitalist.
Dr. Kaushal completed his BS (Biomedical Computation), MD, PhD (Biomedical Informatics), and residency training at Stanford. He is board-certified in Internal Medicine and Clinical Informatics. -
Leonid Kazovsky
Professor (Research) of Electrical Engineering, Emeritus
BioProfessor Kazovsky and his research group are investigating green energy-efficient networks. The focus of their research is on access and in-building networks and on hybrid optical / wireless networks. Prof. Kazovsky's research group is also conducting research on next-generation Internet architectures and novel zero-energy photonic components.
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David Kelley
Donald W. Whittier Professor of Mechanical Engineering
BioDavid Kelley's work is dedicated to helping people gain confidence in their creative abilities. He employs a project based methodology called Design Thinking within both the Product Design Program and the Hasso Plattner Institute of Design.
Design Thinking is based on building empathy for user needs, developing solutions with iterative prototyping, and inspiring ideas for the future through storytelling.
The Product Design program emphasizes the blending of engineering innovation, human values, and manufacturing concerns into a single curriculum. Kelley teaches engineering design methodology, the techniques of quick prototyping to prove feasibility, and design through understanding of user needs. -
Monroe Kennedy III
Assistant Professor of Mechanical Engineering and, by courtesy, of Computer Science
Current Research and Scholarly InterestsMy research focus is to develop technology that improves everyday life by anticipating and acting on the needs of human counterparts. My research can be divided into the following sub-categories: robotic assistants, connected devices and intelligent wearables. My Assistive Robotics and Manipulation lab focuses heavily on both the analytical and experimental components of assistive technology design.
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Thomas Kenny
Senior Associate Dean for Education and Student Affairs and Richard W. Weiland Professor in the School of Engineering
BioKenny's group is researching fundamental issues and applications of micromechanical structures. These devices are usually fabricated from silicon wafers using integrated circuit fabrication tools. Using these techniques, the group builds sensitive accelerometers, infrared detectors, and force-sensing cantilevers. This research has many applications, including integrated packaging, inertial navigation, fundamental force measurements, experiments on bio-molecules, device cooling, bio-analytical instruments, and small robots. Because this research field is multidisciplinary in nature, work in this group is characterized by strong collaborations with other departments, as well as with local industry.
