New Algorithm Helps Autonomous Vehicles Find Themselves, Summer or Winter
Without GPS, autonomous systems get lost easily. Now a new algorithm developed at Caltech allows autonomous systems to recognize where they are simply by looking at the terrain around them—and for the first time, the technology works regardless of seasonal changes to that terrain. The general process, known as visual terrain-relative navigation (VTRN), was first developed in the 1960s. By comparing nearby terrain to high-resolution satellite images, autonomous systems can locate themselves. The problem is that, in order for it to work, the current generation of VTRN requires that the terrain it is looking at closely matches the images in its database. To overcome this challenge, Anthony Fragoso, Lecturer in Aerospace; Staff Scientist, Connor Lee, Graduate student in Aerospace, Austin McCoy, Undergraduate, and Soon-Jo Chung, Bren Professor of Aerospace and Control and Dynamical Systems and research scientist at JPL, turned to deep learning and artificial intelligence (AI) to remove seasonal content that hinders current VTRN systems. [Caltech story]
Winners of the 2021 Demetriades - Tsafka - Kokkalis Prizes Announced
The student winners of the 2021 Demetriades - Tsafka - Kokkalis Prizes were announced at the end of this academic year. David Brown, advised by Professor Viviana Gradinaru and Professor Matt Thomson has received the prize in Entrepreneurship. His research is in molecular and computational strategies for both understanding variability in the human immune system, and characterizing the on- and off-target profile of gene therapy delivery at the resolution of individual cells. Hsiao-Yi Chen, advised by Professor Marco Bernardi has received the prize in Nanotechnology. His research is in the development of ab initio methods to investigate exciton radiative emission and ultrafast dynamics. Tatyana Dobreva, advised by Professor Matt Thomson and Professor Viviana Gradinaru has received the prize in Entrepreneurship. Her research is in single-cell sequencing to interrogate the human immune system, characterize immune response to recombinant Adeno-Associated Viruses (AAVs), and engineer immune cells. Zachary Lee, advised by Professor Steven Low has received the prize in Environmentally Benign Renewable Energy Sources. His research involves developing a suite of tools and algorithms to enable smart electric vehicle charging at scale. Valère Lambert, advised by Professor Nadia Lapusta has received the prize in Seismo-Engineering, Prediction, and Protection. His research is in developing and using physics-based numerical models that combine laboratory insight and theoretical developments to simulate sequences of earthquake ruptures and slow slip that match field observations, thus illuminating physical properties of faults and building towards predictive modeling.
Demetriades - Tsafka - Kokkalis Prizes
Winners of the 2021 New Horizons Award Announced
The student winners of the 2021 New Horizons Award were announced at the end of this academic year. Sara Beery was recognized for her passion, energy, and fearlessness to improve the CMS program by founding the Women in CMS group, organizing events and discussions on racism in academia, and advocating for the support structures that improve the educational experience for all CMS students. Abigail (Abby) Jiang was recognized for her commitment to enhance the campus environment through her leadership of the Caltech Asian Pacific Islander Desi American student association (APIDA+) and of PRISM, the Caltech LGBTQ+ association, and her advocacy for other campus diversity initiatives. Daniel Mukasa was recognized for his dedication and leadership of Black Scientists and Engineers of Caltech, which catalyzed campus engagement, reflection, and reform, and for his mentorship of undergraduates through the WAVE program. Alexander Choi, Leah Ginsburg, Marcus Lee and Victoria Lee, were recognized for their collective engagement and sustained dedication to improve the quality of life for MCE graduate students that culminated in the initiation of a seminar series, an option-wide climate survey, the appointment of a Diversity Liaison, the creation of a MCE community statement, and formation of www.deiinitiatives.caltech.edu, a campus-wide data base for DEI activities.
EAS New Horizons Diversity, Equity & Inclusion Award
The Division of Engineering and Applied Sciences seeks nominations to recognize and honor individuals within the EAS community who have actively contributed to EAS’s goal to be a diverse, equitable, and inclusive engineering community. The award is available to members of the EAS community, including current students, postdoctoral scholars, staff, and faculty. Nominations are due Wednesday, May 19, 2021 and are accepted from anyone in the EAS community, EAS alumni and members of the Caltech community. Click here for full description of how to make a nomination.
Astronomers Image Magnetic Fields at the Edge of M87's Black Hole
The Event Horizon Telescope (EHT) collaboration, which produced the first-ever image of a black hole, revealed a new view of the massive object at the center of the M87 galaxy: a picture of its polarized light. This is the first time astronomers have been able to measure polarization, a signature of magnetic fields, this close to the edge of a black hole. "We are now able to see a different dimension of the light circling the M87 black hole," says Katie Bouman, Assistant Professor of Computing and Mathematical Sciences, Electrical Engineering and Astronomy, Rosenberg Scholar, and co-coordinator of the EHT Imaging Working Group. "The image we reconstructed earlier showed us how bright the light was around the black hole shadow. This image is telling us about the direction of that light." [Caltech story]
Professor Bouman Featured in Inverse Magazine
Katie Bouman, Assistant Professor of Computing and Mathematical Sciences, Electrical Engineering and Astronomy; Rosenberg Scholar, was featured in Inverse Magazine as one of the astronomers who captured the first image of a black hole. In 2019, Bouman and a group of more than 200 astronomers from all over the world managed the inconceivable: They captured the first image of a black hole, rendering the invisible visible. "Ideally, to see a black hole, we would need a telescope the size of the entire Earth," says Bouman. "We had to come up with a computational telescope that size." [Inverse article]