Undergraduate Students Win International Data Science Competition
Undergraduate students Hongsen Qin, Emma Qian, Thomas Hoffmann, and Alexander Zlokapa (advised by Professors Aaron Ames, Erik Winfree, Jonathan Katz, Maria Spiropulu, and Yaser Abu-Mostafa) have won the Citadel Data Open International Data Science Competition. This winning team chose to investigate the optimal way to spend $1 billion to save lives from malaria and sanitation-related diseases, allocating funds for different prevention methods and optimizing budget breakdowns country by country. To quantify the socioeconomic impacts of their policy proposal, they modeled a variety of aspects from mosquito feeding cycles to climate change using techniques ranging from causal discovery methods to interpretable machine learning. The Caltech team was among 24 teams that were evaluated and questioned by a panel of experts including the former Chief Scientist of AI at Microsoft, a Princeton professor, and the chief of equities at Citadel. The Caltech team was chosen as the first place winner based on the depth, rigor, and comprehensiveness of their analysis.
Electrical Engineering Student Selected for 2019 Knight-Hennessy Scholars Class
Kavya Sreedhar, a senior double majoring in electrical engineering and business, economics, and management, has been named to this year's class of Knight-Hennessy Scholars, a graduate-level scholarship program founded by Stanford University. The program aims to develop a community of future global leaders to address complex challenges through collaboration and innovation. Sreedhar will receive a scholarship providing full tuition, room and board, and a living stipend while she pursues a PhD in electrical engineering. Her graduate work will be focused on circuits and hardware research for machine learning and artificial intelligence applications. She is joined by 67 other students chosen from a pool of 4,424 applicants for the program's 2019 cohort. [Caltech story]
Ali Hajimiri Wins Feynman Prize for Excellence in Teaching
Ali Hajimiri, Bren Professor of Electrical Engineering and Medical Engineering; Co-Director, Space-Based Solar Power Project, has won the 2019 Feynman Prize for Excellence in Teaching. Caltech's most prestigious teaching honor, the prize was established in 1993 "to honor annually a professor who demonstrates, in the broadest sense, unusual ability, creativity, and innovation in undergraduate and graduate classroom or laboratory teaching." [Caltech story]
Professor Vaidyanathan Elected to the National Academy of Engineering
P. P. Vaidyanathan, Kiyo and Eiko Tomiyasu Professor of Electrical Engineering, has been elected to the National Academy of Engineering (NAE). Professor Vaidyanathan was elected for “contributions to digital filter bank theory and design.” Election to the National Academy of Engineering is among the highest professional distinctions accorded to an engineer. Academy membership honors those who have made outstanding contributions to "engineering research, practice, or education, including, where appropriate, significant contributions to the engineering literature," and to the "pioneering of new and developing fields of technology, making major advancements in traditional fields of engineering, or developing/implementing innovative approaches to engineering education." [NAE release] [Caltech story]
National Academy of Engineering
P. P. Vaidyanathan
Meet the 2018 Amazon Fellows
The Amazon Fellows program is the result of a partnership between Caltech and Amazon AWS around Machine Learning and Artificial Intelligence (AI). The 2018 Amazon fellows are Ehsan Abbasi, Gautam Goel, Jonathan Kenny, Palma London, and Xiaobin Xiong. Abbasi is interest in contributing to a deeper understanding of convex and non-convex learning methods in AI and is an Electrical Engineering graduate student working with Professor Babak Hassibi. Goel’s research interest is at the interface of the theory and practice of machine learning and is advised by Professor Adam Wierman. London is also working with Professor Wierman. She is developing efficient algorithms for solving extremely large optimization problems. The methods are applicable to distributed and parallel optimization. For example in a distributed data center setting, the algorithms are robust to unreliable data transfer between data centers and take into account privacy concerns. Kenny is a Computation & Neural Systems graduate student working with Professor Thanos Siapas on deep neural networks to identify and classify brain states. Xiong is a mechanical engineering graduate student who enjoys working on real physical robots, to make them walk, jump, and run in real life. He is advised by Professor Aaron Ames and their research is focused on robotic bipedal locomotion
Ryan Monroe Wins Milton and Francis Clauser Doctoral Prize
Ryan Monroe, advised by Greg Hallinan is a winner of this year's Milton and Francis Clauser Doctoral Prize, for his thesis "Gigahertz Bandwidth and Nanosecond Timescales: New Frontiers in Radio Astronomy through Peak Performance Signal Processing." The Clauser Prize is awarded to students whose PhD thesis reflects "extraordinary standards of quality, innovative research, ingenuity, and especially the potential of opening new avenues of human thought and endeavor."