<< November 2019 >>

Friday, November 1, 2019

Solid State Technology and Devices Seminar: Integrated Optical Phased Arrays: LiDAR, Augmented Reality, and Beyond

Seminar: Solid State Technology and Devices: EE: CS | November 1 | 1-2 p.m. | Cory Hall, The Hogan Room, 521

 Jelena Notaros, Ph.D. Student and Researcher, Massachusetts Institute of Technology

 Electrical Engineering and Computer Sciences (EECS)

This talk will present recent advances in integrated optical phased array architectures, results, and applications.

Imaging the Brain at High Spatiotemporal Resolution: Nano Seminar Series

Seminar: Micro/Nano Electro Mechanical Systems (MEMS): EE | November 1 | 2-3 p.m. | 120 Latimer Hall

 Prof. Na Ji, UC Berkeley, Physics

 Berkeley Nanosciences and Nanoengineering Institute

Physics has long employed optical methods to probe and manipulate matter on scales from the infinitesimal to the immense. To understand the brain, we need to monitor physiological processes of single synapses as well as neural activity of a large number of networked neurons.

Optical microscopy has emerged as an ideal tool in this quest, as it is capable of imaging neurons distributed over...   More >

Monday, November 4, 2019

BIDS Forum: Statistics and Machine Learning Forum

Lecture: CS: Data Science | November 4 | 1:30-2:30 p.m. | 190 Doe Library

 Berkeley Institute for Data Science

Full details about this meeting will be posted here: https://bids.berkeley.edu/events.

Redesigning CMOS Electronics: What, Why and How?

Seminar: EE | November 4 | 4-5 p.m. | Cory Hall, Wang Room (531 Cory Hall)

 Muhammad Mustafa Hussain, Professor, King Abdullah University of Science and Technology

 Electrical Engineering and Computer Sciences (EECS)

We have devised an effective heterogeneous integration strategy based on mature and reliable CMOS technology only to integrate hybrid materials and diverse set of devices for multi-disciplinary applications.

Wednesday, November 6, 2019

BLISS Seminar: Distributed Stochastic Optimization with Variance Reduction and Gradient Tracking

Seminar | November 6 | 3-4 p.m. | 400 Cory Hall

 Yuejie Chi, CMU

 Electrical Engineering and Computer Sciences (EECS)

There is an increasing need to perform large-scale machine learning and optimization over distributed networks, e.g. in the context of multi-agent learning and federated optimization. It is well recognized that, a careful balance of local computation and global communication is necessary in the distributed setting for empirical risk minimization. In this talk, we first consider a natural...   More >

EECS Colloquium: Machine Learning: a New Approach to Drug Discovery

Colloquium: Departmental: EE: CS | November 6 | 4-5 p.m. | Soda Hall, 306 (HP Auditorium)

 Daphne Koller, insitro

 Electrical Engineering and Computer Sciences (EECS)

Modern medicine has given us effective tools to treat some of the most significant and burdensome diseases. At the same time, it is becoming consistently more challenging to develop new therapeutics: clinical trial success rates hover around the mid-single-digit range; the pre-tax R&D cost to develop a new drug (once failures are incorporated) is estimated to be greater than $2.5B; and the rate...   More >

DataVisor Tech Talk

Information Session: External Relations Group: EE: CS: Data Science | November 6 | 6-8 p.m. | Soda Hall, Wozniak Lounge (430)

 Electrical Engineering and Computer Sciences (EECS)

Come listen to engineers at DataVisor talk about the challenging fraud detection problems they’re solving every day.

DataVisor is a next generation security company that utilizes industry leading unsupervised machine learning to detect fraudulent activity for financial transactions, mobile user acquisition, social networks, commerce and money laundering. Their solution is used by some of the...   More >

Thursday, November 7, 2019

Self-Assembly of Nanoscale Architectures with DNA

Seminar: EE | November 7 | 4-5 p.m. | Cory Hall, Wang Room (531 Cory Hall)

 Grigory Tikhomirov, Senior Postdoctoral Scholar, California Institute of Technology

 Electrical Engineering and Computer Sciences (EECS)

Is it possible to develop a new approach to building complex devices that combines the strengths of biomolecular self-assembly and systematic engineering? In this talk I will discuss recent work towards this goal using DNA as a nanoscale, programmable building block.

Friday, November 8, 2019

Seminar with INZONE.AI Entrepreneur Sandeep Srinivasan

Seminar: Artificial Intelligence: EE: CS | November 8 | 11 a.m.-12 p.m. | Sutardja Dai Hall, Room 242

 Sandeep Srinivasan, INZONE.AI

 BAIR Lab

Sandeep Srinivasan Founder & CEO @INZONE.AI Bio:

Sandeep is a serial Entrepreneur has founded 4 startups, including INZONE.AI

His previous 2 startups (Mskribe Inc and Synchronous Design Automation) have been in the space of algorithms to reduce power consumption on complex IC’s.

Sandeep also founded a consumer facing location based messaging startup, that used machine learning to keep...   More >

Emerging Semiconductor Nanoscale Devices and Systems for Classical and Quantum Information Processing

Seminar: Berkeley Sensor & Actuator Center (BSAC): Micro/Nano Electro Mechanical Systems (MEMS): EE | November 8 | 11:30 a.m.-12:30 p.m. | 293 Cory Hall

 Prof. Philip Feng, University of Florida

 Berkeley Sensor & Actuator Center (BSAC)

Emerging semiconductors, ranging from atomic layer semiconducting crystals (such as transition metal dichalcogenides (TMDCs) and black phosphorus) to wide and ultrawide bandgap materials (such as SiC, Ga2O3, and h-BN), along with their heterostructures, offer compelling platforms for engineering new electronic, photonic devices and transducers, where the unconventional and unique properties of...   More >

Solid State Technology and Devices Seminar: A Perspective on Future Logic Technologies Essential Constituents

Seminar: Solid State Technology and Devices: EE: CS | November 8 | 1-2 p.m. | Cory Hall, The Hogan Room, 521

 Carlos Diaz, Senior Director in Research and Development, Taiwan Semiconductor Manufacturing Company

 Electrical Engineering and Computer Sciences (EECS)

CMOS technology continues to scale despite challenges whose solutions, including design and system considerations, increase complexity. Going forward, the exploratory landscape to power, performance, density, and complexity challenges remains rich in options. Timely and conclusive research on new transistors, interconnects, memories, and 3DIC structures and materials is key to long term...   More >

Color Centers and Quantum Nanophotonics: Nano Seminar Series

Seminar: Micro/Nano Electro Mechanical Systems (MEMS): EE | November 8 | 2-3 p.m. | 120 Latimer Hall

 Prof. Marina Radulaski, UC Davis, Electrical and Computer Engineering

 Berkeley Nanosciences and Nanoengineering Institute

Light and matter interaction at the nanoscale has been explored for a variety of quantum technologies pertaining to information processing, communication and sensing. The color centers, atomic defects in wide band gap semiconductor lattices, have had a prominent role in this research. The favorable combination of optical and spin properties qualifies color centers as fast indistinguishable...   More >

Dissertation Talk: Design and Fabrication of VCSELs for 3D Sensing

Presentation | November 8 | 3-4 p.m. | 540AB Cory Hall

 Kevin Cook

 Electrical Engineering and Computer Sciences (EECS)

The demand for low-cost laser sources for 3D imaging in industrial, medical, and consumer applications has created a rapidly growing market for vertical cavity surface emitting lasers (VCSELs). These devices can be configured as widely tunable laser sources using a MEMS actuated mirror, or into high density arrays for powerful, spatially structured light.

In the first half of this talk, I...   More >

Saturday, November 9, 2019

Art + Nature Symposium

Conference/Symposium: Biosystems and Computational Biology: Jacobs Institute for Design Innovation: EE: CS | November 9 – 10, 2019 every day | 10 a.m.-5 p.m. | 310 Jacobs Hall

 Ronald Fearing, Department of Electrical Engineering and Computer Sciences, UC Berkeley; Robert Full, Department of Integrative Biology, UC Berkeley; Tadashi Tokieda, Department of Mathematics, Stanford University; Toshitake Kohno, Graduate School of Mathematical Sciences, The University of Tokyo; Tomohiro Tachi, Graduate School of Arts and Sciences, The University of Tokyo; Simon Schleicher, Department of Architecture, UC Berkeley; Maria Paz Gutierrez, Department of Architecture, UC Berkeley; Christine Gregg, NASA Ames Research Center; Mimi Koehl, Department of Integrative Biology, UC Berkeley; Kazuya Saito, Faculty of Design, Kyushu University; Takuya Umedachi, Textile Science and Technology, Department of Mechanical Engineering and Robotics, Shinshu University

 Electrical Engineering and Computer Sciences (EECS)

Nature and the astonishing processes by which it governs the shapes and structures of organic and inorganic matter has always been a strong source of inspiration for artists and scientists. Often, natural structures form themselves in ways that seem to completely contradict our notions of how to build lasting, functional, and versatile structures. For example, some structures found in Nature...   More >

Sunday, November 10, 2019

Art + Nature Symposium

Conference/Symposium: Biosystems and Computational Biology: Jacobs Institute for Design Innovation: EE: CS | November 9 – 10, 2019 every day | 10 a.m.-5 p.m. | 310 Jacobs Hall

 Ronald Fearing, Department of Electrical Engineering and Computer Sciences, UC Berkeley; Robert Full, Department of Integrative Biology, UC Berkeley; Tadashi Tokieda, Department of Mathematics, Stanford University; Toshitake Kohno, Graduate School of Mathematical Sciences, The University of Tokyo; Tomohiro Tachi, Graduate School of Arts and Sciences, The University of Tokyo; Simon Schleicher, Department of Architecture, UC Berkeley; Maria Paz Gutierrez, Department of Architecture, UC Berkeley; Christine Gregg, NASA Ames Research Center; Mimi Koehl, Department of Integrative Biology, UC Berkeley; Kazuya Saito, Faculty of Design, Kyushu University; Takuya Umedachi, Textile Science and Technology, Department of Mechanical Engineering and Robotics, Shinshu University

 Electrical Engineering and Computer Sciences (EECS)

Nature and the astonishing processes by which it governs the shapes and structures of organic and inorganic matter has always been a strong source of inspiration for artists and scientists. Often, natural structures form themselves in ways that seem to completely contradict our notions of how to build lasting, functional, and versatile structures. For example, some structures found in Nature...   More >

Monday, November 11, 2019

Dissertation Talk: Optimal Tradeoffs in Modern Hypothesis Testing

Presentation: Dissertation Talk: CS | November 11 | 511 Soda Hall

 Maxim Rabinovich, UC Berkeley

 Electrical Engineering and Computer Sciences (EECS)

A dissertation talk on multiple hypothesis testing in partial fulfillment of the requirements for the EECS PhD.

Tuesday, November 12, 2019

Dissertation Talk: e-mission: an open source, extensible platform for human mobility systems

Lecture | November 12 | 10:30-11:30 a.m. | 380 Soda Hall

 K. Shankari, EECS Department, UC Berkeley

 Electrical Engineering and Computer Sciences (EECS)

Decarbonizing transportation is challenging because it depends on individual behaviors, and local land use planning. Its solutions can come from Computational Mobility (CM). CM focuses on collecting, analysing and influencing human travel behavior. e-mission is an extensible platform whose modular architecture, use of virtual sensors, and reproducible pipeline form a robust foundation for CM.

Learning from Censored and Dependent Data

Seminar: EE: CS: Data Science | November 12 | 4-5 p.m. | Banatao Auditorium, 310 Sutardja Dai Hall

 Constantinos Daskalakis, Professor, Department of Computer Science, Massachusetts Institute of Technology

 Electrical Engineering and Computer Sciences (EECS)

Machine Learning is invaluable for extracting insights from large volumes of data. A key assumption enabling many methods, however, is having access to training data comprising independent observations from the entire distribution of relevant data. In practice, data is commonly missing due to measurement limitations, legal restrictions, or data collection and sharing practices. Moreover,...   More >

Oracle Tech Talk: OAC TO OCI Gen2 Cloud

Information Session: External Relations Group: EE: CS: Data Science | November 12 | 6-7:30 p.m. | Soda Hall, Wozniak Lounge (430)

 Electrical Engineering and Computer Sciences (EECS)

Join Vineeta Saxena, Senior Director, Software Development, form the Oracle Analytics Cloud group.

Come hear Vineeta talk about rolling out Oracle Analytics on OCI (Gen2) Cloud.

Meet with Oracle reps to learn about exciting opportunities at Oracle.

Dinner will be served. We'll be raffling off a pair of AirPods at the end of the evening!

To explore Product Development Roles, visit...   More >

Wednesday, November 13, 2019

OmniX - an accelerator-centric OS architecture for omni-programmable systems

Seminar: CS | November 13 | 10-11 a.m. | Soda Hall, 510 Soda Hall

 Mark Silbertein, Israel Institute of Technology

 Electrical Engineering and Computer Sciences (EECS)

Future systems will be omni-programmable: alongside CPUs, GPUs,
Security accelerators and FPGAs, they will execute user code
near-storage, near-network, and near-memory...   More >

BLISS Seminar: Towards an Average-case Complexity of High-dimensional Statistics

Seminar: EE: Berkeley Laboratory for Information and System Sciences (BLISS) | November 13 | 3-4 p.m. | 400 Cory Hall

 Guy Bresler, MIT

 Electrical Engineering and Computer Sciences (EECS)

The prototypical high-dimensional statistical estimation problem entails finding a structured signal in noise. These problems have traditionally been studied in isolation, with researchers aiming to develop statistically and computationally efficient algorithms, as well as to try to understand the fundamental limits governing the interplay between statistical and computational cost. In this talk...   More >

EECS Colloquium: Learning for Decision-Making: Dynamics and Economics

Colloquium: Departmental: EE: CS | November 13 | 4-5 p.m. | Soda Hall, 306 (HP Auditorium)

 Nika Haghtalab, Cornell

 Electrical Engineering and Computer Sciences (EECS)

Machine learning systems are increasingly used for automated decision making; for example for designing economic policies and for identifying qualified candidates in education or finance. When designing such systems, it is important to consider how changes in the target population or the environment affect the performance of the systems...   More >

Thursday, November 14, 2019

Dissertation Talk: Demultiplexed Mutiwavelength Interferometry for High Precision Metrology

Seminar: Dissertation Talk: EE | November 14 | 11 a.m.-12 p.m. | Soda Hall, 430 (Woz Lounge)

 Zain Zaidi

 Electrical Engineering and Computer Sciences (EECS)

In this talk, I will present results from a new arithmetic algorithm for multiwavelength interferometer that has a theoretical maximum range of the lowest-common-multiple of the wavelengths used, the resolution of a single-wavelength interferometer, and the theoretical maximum noise tolerance of an algebraic approach.

Center for Computational Biology Seminar: Molly Schumer, Assistant Professor, Stanford University

Seminar: Biosystems and Computational Biology: CS | November 14 | 2-3 p.m. | 125 Li Ka Shing Center

 Center for Computational Biology

Title: Unraveling the tangled web: the evolutionary impact of hybridization

Abstract:
How distinct species persist in the face of gene flow is a long-standing and central question in evolutionary biology, reinvigorated by the recent realization that hybridization is surprisingly common. Though it is now appreciated that gene flow often occurs before, during, and after speciation, little about...   More >

Friday, November 15, 2019

Solid State Technology and Devices Seminar: Analog Physics for Digital Optimization

Seminar: Solid State Technology and Devices: EE: CS | November 15 | 1-2 p.m. | Cory Hall, The Hogan Room, 521

 Sri Krishna Vadlamani, Ph.D. Student and Researcher, Electrical Engineering and Computer Sciences Dept. University of California

 Electrical Engineering and Computer Sciences (EECS)

Optimization is vital to Engineering, Artificial Intelligence, and to many areas of Science. Mathematically, we usually employ steepest-descent, or other digital algorithms. But, Physics itself, performs optimizations in the normal course of dynamical evolution. Nature provides us with the following optimization principles:
1. The Principle of Least Action;
2. The Variational Principle of...   More >

Modulation of Precursor Reactivity for Colloidal Synthesis of WSe2 Nanocrystals and Heterostructures: Nano Seminar Series

Seminar: Micro/Nano Electro Mechanical Systems (MEMS): EE | November 15 | 2-3 p.m. | 120 Latimer Hall

 Prof. Alina Schimpf, UC San Diego, Chemistry and Biochemistry

 Berkeley Nanosciences and Nanoengineering Institute

Colloidal chemistry is uniquely poised for the synthesis of metastable phases because conditions can be chosen to access kinetic growth regimes. We show that control over size and phase of colloidal WSe2 nanocrystals is achieved by careful choice of ligand...   More >

Regulating TNCs: Should Uber and Lyft set their own rules?

Seminar: EE | November 15 | 4 p.m. | 290 Hearst Memorial Mining Building

 Sen Li, Uc Berkeley

 Institute of Transportation Studies

Sen Li, postdoctoral fellow in the Department of Mechanical Engineering at The University of California, Berkeley, will present Regulating TNCs: Should Uber and Lyft set their own rules? at the ITS Berkeley Transportation Seminar on Nov. 15, 2019 at 4 p.m. in 290 Hearst Memorial Mining Building. Join us for Beverages and cookies at 3:30 p.m.

Abstract: We evaluate the impact of three proposed...   More >

Sen Li

Monday, November 18, 2019

BIDS Forum: Statistics and Machine Learning Forum

Lecture: CS: Data Science | November 18 | 1:30-2:30 p.m. | 190 Doe Library

 Berkeley Institute for Data Science

Full details about this meeting will be posted here: https://bids.berkeley.edu/events.

Photobears Seminar: Communicating with Light Wirelessly: Indoor Optical Wireless LANs

Seminar: EE | November 18 | 4-5 p.m. | 531 Cory Hall

 Prof. Ampalavanapillai Nirmalathas, University of Melbourne, Australia

 UC Berkeley Photobears

This talk will outline an indoor optical wireless network architecture capable of providing multigigabit wireless communications directly using light. The system technologies demonstrating fiber-fed architecture with user localization, physical layer security, resilience against blocking of beams and optimized protocols will be discussed.

Speaker Bio: Thas Nirmalathas is a Professor...   More >

Wednesday, November 20, 2019

BLISS Seminar: Towards a Theory of Information for Dynamical Systems

Seminar: EE: Berkeley Laboratory for Information and System Sciences (BLISS) | November 20 | 3-4 p.m. | 400 Cory Hall

 Victoria Kostina, Caltech

 Electrical Engineering and Computer Sciences (EECS)

We are moving towards a massively and diversely connected world populated by a seamless network of intelligent, dynamic distributed systems engaged in a shared interaction with the physical world and each other through unreliable sensors, actuators and noisy communication channels. These systems are extremely delay sensitive, so that coding over long blocks of observed data might not be feasible....   More >

EECS Colloquium: Representation, Modeling, and Optimization in Reinforcement Learning

Colloquium: Departmental: EE: CS | November 20 | 4-5 p.m. | Soda Hall, 306 (HP Auditorium)

 Sham Kakade, University of Washington

 Electrical Engineering and Computer Sciences (EECS)

Reinforcement learning is now the dominant paradigm for how an agent learns to interact with the world. The approach has lead to successes ranging across numerous domains, including game playing and robotics, and it holds much promise in new domains, from self driving cars to interactive medical applications. Some of the central challenges are: - Representational learning: does having a good...   More >

Thursday, November 21, 2019

View from the Top: Craig Federighi: Questionable Advice from One Very Lucky Berkeley Engineer

Lecture: EE | November 21 | 12-1 p.m. | Sutardja Dai Hall, Banatao Auditorium, 3rd floor

 Craig Federighi, Senior VP, Software Engineering, Apple

 Society of Women Engineers, UC Berkeley College of Engiennering

Friday, November 22, 2019

Solid State Technology and Devices Seminar: Structured Light-Matter Interactions in Engineered Photonic Media

Seminar: Solid State Technology and Devices: EE: CS | November 22 | 1-2 p.m. | Cory Hall, The Hogan Room, 521

 Natalia M. Litchinitser, Professor, Duke University

 Electrical Engineering and Computer Sciences (EECS)

We will discuss fundamental optical phenomena at the interface of singular and nonlinear optics in engineered optical media and show that the unique optical properties of optical nanostructures open unlimited prospects to “engineer” light itself.

A Better Future for Fossil Hydrocarbons and Carbon Nanomaterials: Nano Seminar Series

Seminar: Micro/Nano Electro Mechanical Systems (MEMS): EE | November 22 | 2-3 p.m. | 120 Latimer Hall

 Prof. Matteo Pasquali, Rice University, Chem / MSE / NanoEngineering

 Berkeley Nanosciences and Nanoengineering Institute

Every year we extract over 4.2 GT of oil, 2.5 GT of natural gas, and 3.4 GT of coal to sustain our economies. That’s equivalent to 8.7 GT of carbon and 1.3 GT of Hydrogen. Almost all of these resources are burned to generate energy, causing over 30 GT of CO2 to enter the atmosphere which is unsustainable in view of climate change—the only significant exception is polymers, which fix 0.35 GT/yr of...   More >

Trustworthy Autonomy: Behavior Prediction and Validation

Seminar: EE: CS | November 22 | 4 p.m. | 290 Hearst Memorial Mining Building

 Katherine Driggs-Campbell, University of Illinois

 Institute of Transportation Studies

University of Illinois' Katherine Driggs-Campbell will present Trustworthy Autonomy: Behavior Prediction and Validation at 4 p.m. Nov. 22 at the ITS Transportation Seminar in 290 Hearst Memorial Mining Building.

Katherine Driggs-Campbell

Tuesday, November 26, 2019

UC Berkeley Cloud Computing Meetup

Meeting: CS: Data Science | August 27, 2019 – August 25, 2020 the last Tuesday of the month every month | 4:30-7 p.m. |  Berkeley SkyDeck Penthouse

 Data Sciences

This meetup is aimed at bringing together students, researchers, faculty, IT staff and the wider local community to learn, share and discuss our work in designing and operating services built on cloud computing architectures.

We will feature speakers and engaging discussions around current issues in cloud computing often with an enterprise focus.