EE Seminar: Magnetic and Piezoelectric Tunable Devices for Versatile Electronic Systems

HP Auditorium, 306 Soda Hall
  • Amal El-Ghazaly, UC Berkeley
By year 2021, the number of existing wireless electronic devices is expected to be four times greater than the world’s human population. They will be used for countless “smart” applications that are nearly unimaginable today. However, the range of functions these devices serve across applications is very broad, often having widely different device requirements and tradeoffs. This seminar presents...

Web Automation for Everyone: From PBD to PBX

306 Soda Hall
  • Sarah Chasins, Ph.D. Candidate, UC Berkeley
In this talk, I’ll describe how I reformulated traditional web PBD around the insight that demonstrations are not always the easiest way for non-programmers to communicate their intent.

Uber Info-session

Wozniak Lounge (430) Soda Hall
Come learn about how we solve challenging problems at Uber! Uber is in over 600+ cities, 65 countries, and has completed over 10 bilion rides. At such a scale, Uber continues to explore new frontiers and provide access to safe and reliable transportation for 75 million montly active riders with 15 million trips every day. Outside of rideshare, we are also foraying into new territories, such as...

Scientific Computing and Matrix Computations Seminar: Optimization in high-dimensional statistics with nonconvex constraints

380 Soda Hall
  • Wooseok Ha, UCB
Many problems in modern statistics can be formulated as an optimization problem with structured constraints, where the constraints often exhibit nonconvexity such as sparsity or low rank. However, working with nonconvex constraints presents theoretical and practical challenges. We discuss the convergence behavior of two widely used algorithms, projected gradient descent and...

Algorithmic Pirogov-Sinai theory

1011 Evans Hall
  • Will Perkins, University of Illinois at Chicago
What is the connection between a phase transition in a statistical physics model and the computational complexity of sampling from the given model? In the setting of the hard-core and Potts models on lattices, it is known that in the phase coexistence regime the Glauber dynamics mix slowly. Using some of the same tools used to prove slow mixing (the cluster expansion and Pirogov-Sinai theory), we...

Statistics on Shape Data: Correcting an Asymptotic Bias in Template Shape Estimation

1011 Evans Hall
  • Nina Miolane, Stanford University
Computational Anatomy aims to model and analyze healthy and pathological distributions of organ shapes. We are interested in the computational representation of the brain anatomy using brain MRIs (Magnetic Resonance Imaging). How can we define the notion of brain shapes and how can we learn their distribution in the population? Landmarks’ shapes, curve shapes or surface shapes can be seen as the...

EA Info-Session

Wozniak Lounge (430) Soda Hall
Please join us for an evening with engineers from Electronic Arts! Learn about their careers, life at EA, and all the exciting things we are doing here. The format will be a bit intimate, as we will look to break into small groups with them so you can ask direct questions about how to improve your resume, get some tips on acing technical interviews, how to break into the industry or start your...

Power Electronics: A New Landscape and its Impact on Research and Applications

HP Auditorium (306 Soda) Soda Hall
  • Alex Hanson, Ph.D. Candidate, Massachusetts Institute of Technology
Many of humanity's most pressing needs and exciting advances are critically dependent on the effective use of energy. Such applications are often space-, cost-, or efficiency-limited by the power converters at their heart. These power conversion challenges are converging with new technology opportunities.

Sparse Polynomial Approximations and their applications to Quantum Advantage, Parallel Computation, and Pseudorandomness

310 Sutardja Dai Hall
  • Avishay Tal, Motwani Postdoctoral Fellow, Stanford University
This talk is motivated by three (seemingly unrelated) questions: 1. For which tasks do quantum algorithms outperform classical computation? 2. Does parallel computing always offer a speed-up, or are some tasks inherently sequential? 3. Do randomized algorithms have deterministic counterparts with similar memory footprint?

Career Forum: BERC Energy Summit

Pauley Ballroom Martin Luther King Jr. Student Union
Formerly called Career Night, this year’s event, the Career Energy Forum, will take place on the first of the two days of the Energy Summit conference on February 21st, 2019. The Career Energy Forum is an annual event connecting prestigious energy and cleantech companies with top graduate student talent interested in dedicating their careers to this field. We have more than 20 companies confirmed.