Neural Networks Model Audience Reactions to Movies
Yisong Yue, Assistant Professor of Computing and Mathematical Sciences, and colleagues have created a new deep-learning software capable of assessing complex audience reactions to movies using the viewer's facial expressions. "Understanding human behavior is fundamental to developing AI [artificial intelligence] systems that exhibit greater behavioral and social intelligence. For example, developing AI systems to assist in monitoring and caring for the elderly relies on being able to pick up cues from their body language. After all, people don't always explicitly say that they are unhappy or have some problem," Professor Yue says. [Caltech story]
Meet Caltech alumnus and Technologist Behind Airbnb “Joebot”
Joe Zadeh is vice president of product for Airbnb. At Caltech, he pursued graduate work in bioengineering, designing biomolecules and created algorithms for self-assembling nucleic-acid structures. Addressing other alumni he states, “Caltech gave you a degree in a field, but it also taught you how to think. What you’re doing is trying to [take] something nebulous and make it concrete. In some ways, that’s what start-ups do. Actually a lot of start-ups don’t look a lot different structurally from most research labs at Caltech.” [Techer story]
2017 ASCIT Teaching Award
Adam Wierman, Professor of Computing and Mathematical Sciences; Executive Officer for Computing and Mathematical Sciences; Director, Information Science and Technology, has been chosen by the Associated Students of the California Institute of Technology (ASCIT) to receive a 2017 ASCIT Teaching Awards. These awards recognize individuals who inspire and motivate students, are approachable, and present course material effectively and efficiently.
Winners of the 2017 Demetriades - Tsafka - Kokkalis Prizes Announced
The student winners of the 2017 Demetriades - Tsafka - Kokkalis Prizes have been announced. Manuel Alejandro Monge Osorio received the prize in Biotechnology for his work with Professor Azita Emami which involves developing novel techniques for the miniaturization of implantable medical electronics in two important pillars: localization of medical devices and electrical stimulation. Pinaky Bhattacharyya was the recipient of the prize in Seismo-Engineering, Prediction, and Protection for his work with Professor Jim Beck investigating an information-theoretic approach to the problem of the optimal sensor placement for Bayesian system identification of structures using response time-history data. Bryan M. Hunter, working with Professor Harry Gray, received the prize in Environmentally Benign Renewable Energy Sources for his work on the development and characterization of a nickel-iron layered double hydroxide water oxidation catalyst with the goal of developing a solar-driven device for the synthesis of fuels, with hydrogen production as a target. The winner of the prize in Nanotechnology was Anupama Thubagere Jagadeesh whose research interests are focused on understanding the engineering principles behind designing and synthesizing programmable molecular machines.. Anupama’s graduate advisor was Professor Lulu Qian. The prize in Entrepreneurship was given to Ken Y. Chan who was advised by Professor Viviana Gradinaru. His research interests lie in developing tissue clearing technologies to render whole organs transparent for optical investigation..
Demetriades - Tsafka - Kokkalis Prizes
Manuel Alejandro Monge Osorio
Anupama Thubagere Jagadeesh
Professor Umans Receives Northrop Grumman Prize for Excellence in Teaching
Christopher Umans, Professor of Computer Science, is the recipient of the 2017 Northrop Grumman Prize for Excellence in Teaching. The Prize is awarded to an EAS professor who demonstrates, in the broadest sense, unusual ability, creativity, and innovation in undergraduate and graduate classroom or laboratory teaching. A nomination for Professor Umans read, “his course on computational complexity has become the de facto way that students decide if they're interested in computer science. It is an extremely challenging, mathematical course but his crisp, entertaining lectures bring everyone along.” Students in his class described it as, “my favorite class at Caltech so far", and ”I didn't think I liked theoretical CS until I took this course.”
Alumna on Forbes' List of Leading Women in AI Research
Electrical Engineering alumna, Fei-Fei Li, who worked with Professor Pietro Perona has made Forbes’ list of 20+ leading women in Artificial Intelligence (AI) research. She is currently Chief Scientist of Artificial Intelligence & Machine Learning at Google Cloud. "We all have a responsibility to make sure everyone - including companies, governments and researchers - develop AI with diversity in mind,” Fei-Fei Li emphasized. [Forbes article]