Stanford University
Showing 281-290 of 669 Results
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Barbara A. Karanian Ph.D. School of Engineering, previously Visiting Professor
Adjunct Lecturer, Design Courses
BioBarbara 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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Noa Katz
Research Professional, 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
BioDr. Kaushal is Clinical Associate Professor of Medicine and Adjunct Professor of Bioengineering at Stanford University. He is a respected internal medicine physician with expertise in applications of computer science, artificial intelligence (AI), and machine learning (ML) to medicine and public health. He has worked in roles ranging from deeply technical to deeply clinical, in both academia and industry.
Dr. Kaushal brings over 20 years of research experience at the intersection of computer science and biomedicine. His work focuses on taking AI/ML applications from concept all the way through live clinical deployment, with attention to fair and ethical use of AI. His work has been featured in JAMA, Nature, Lancet Digital Health, NEJM AI, NEJM Catalyst Innovations in Care Delivery, Nature npj Digital Medicine, JAMA Network Open, Health Affairs Blog, and others; and he has been covered in popular media outlets such as Scientific American, Wired, STAT News, The Verge, LA Times, and more.
Dr. Kaushal launched Stanford University School of Engineering's undergraduate degree program in Biomedical Computation over 20 years ago; he serves as co-director of the major, which has graduated over 150 students since its founding. He is a faculty in the Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford Institute for Human-Centered Artificial Intelligence, Stanford Clinical Excellence Research Center, and Stanford Partnership for AI-Assisted Care.
Dr. Kaushal practices hospital medicine at VA Palo Alto, where he also serves as inaugural Director of the Amplified Reach Catalyst (ARC) Program, an embedded research-support infrastructure for VA hospitalist clinicians.
Dr. Kaushal has served in executive, operating, and advisory roles in industry.
Dr. Kaushal is board certified in both internal medicine and clinical informatics. He completed his BS (Biomedical Computation), MD, PhD (Biomedical Informatics) and Internal Medicine residency training all at Stanford University.
