Winners of the 2018 Demetriades - Tsafka - Kokkalis Prizes Announced
The student winners of the 2018 Demetriades - Tsafka - Kokkalis Prizes were announced at the end of this academic year. Claire Bedbrook, advised by Professors Frances H. Arnold and Viviana Gradinaru received the prize in Biotechnology. Her research is in engineering proteins capable of controlling and reading out neural activity to advance neuroscience research. Nicholas Dou, advised by Professor Austin Minnich received the prize in Nanotechnology. Nicholas focuses on developing and characterizing novel nano-architected materials that are exceptionally lightweight, mechanically resilient, and thermally insulating. Xiaoqi Ren, advised by Professor Adam Wierman received the prize in Environmentally Benign Renewable Energy Sources. Xiaoqi’s research is focused on optimization of today's large-scale data centers, including online scheduling, energy usage and sustainability, and new market mechanisms for electricity markets and data clouds. Daniel C. Bowden, advised by Professors Joann M. Stock and Victor Tsai has received the prize in Seismo-Engineering, Prediction, and Protection. Daniel has worked on a range of projects relating to the propagation of seismic waves in the Earth's crust. Colin Cook, advised by Professor Yu-Chong Tai has receive the prize in Entrepreneurship. Colin is working on a phototherapeutic contact lens to treat diabetic retinopathy, a leading cause of blindness.
Demetriades - Tsafka - Kokkalis Prizes
Computer Science Student Selected as KPCB Fellow
Anne Zhou, a junior majoring in computer science, has been selected for this year's Kleiner Perkins Caufield Byers (KPCB) Fellows Program. Zhou will spend her summer at DoorDash, an on-demand restaurant delivery service which is also employing drivers to deliver surplus food from restaurants and grocery stores to food banks. The KPCB Fellows focus on technical, design, and product challenges. Though Zhou does not yet know her specific project for the summer at DoorDash, she will likely work with one of three teams: the engineers who design apps and websites, the team that manages customer experience, or the technicians who build and maintain the company infrastructure. [Caltech story]
Meet the 2017 Amazon Fellows
Four graduate students from the Computing and Mathematical Sciences (CMS) Department and one from the Electrical Engineering (EE) Department have been selected as 2017 Amazon Fellows. This fellows program is the result of a partnership between Caltech and Amazon AWS around Machine Learning and Artificial Intelligence. The EE fellow is Srikanth Tenneti who is exploring the potential of deep learning for Direction of Arrival applications, and extending Ramanujan Sums based techniques for multi-dimensional periodicity extraction. CMS graduate student Navid Azizan Ruhi is researching faster optimization algorithms for machine learning. He is looking forward to visiting Amazon AI as a fellow and exchanging ideas with their researchers. Computer science graduate student Hoang Le is developing methods for efficient and intelligent sequential decision making in realistic systems. Florian Schaefer, whose focus is applied and computational mathematics, is researching the interface of statistical estimation and the design of fast algorithms. Control and dynamical systems graduate student Ellen Feldman, working with Professor Joel Burdick, has used part of the funding to present her research at the Society for Neuroscience annual meeting and looking forward to other future opportunities to share her research.
P. P. Vaidyanathan
Navid Azizan Ruhi