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Curriculum Vitae
Curriculum Vitae DAVID LEWIN, Ph.D. Abridged CV, July 1, 2021 BERKELEY RESEARCH GROUP, LLC 2029 Century Park East, Suite 1250 Los Angeles, CA 90067 810 Seventh Avenue, Suite 4100 New York, NY 10019 Phone: 310.499.4931; Mobile: 310.498.4547; Fax: 310.557.8982 Email: [email protected] BIO/SUMMARY David Lewin is a Managing Director, Head of the Labor and Employment and Human Capital Practices, and Senior Adviser to the Chairman of BRG. He is also the Neil H. Jacoby Professor Emeritus of Management, Human Resources and Organizational Behavior at the UCLA Anderson Graduate School of Management. He has provided expert analysis and testimony in numerous labor and employment and human capital matters involving issues of no-poaching and non-compete agreements; executive compensation and executive contracts; wrongful termination and retaliation; independent contractor v. employee status; managerial and employee misclassification; wages and hours; human resource management practices; age, gender, race, disability and religious discrimination; organizational governance; research methods and damages. In these areas, Dr. Lewin has designed and analyzed data obtained from survey questionnaires, interview protocols, and observational studies as well as from secondary sources. He also consults widely on human resource management issues and practices with companies in the U.S. and abroad. Dr. Lewin has published many books and journal articles. His books include Human Resource Management: An Economic Approach; The Oxford Handbook of Participation in Organizations; Contemporary Issues in Employment Relations; The Human Resource Management Handbook; Advances in Industrial and Labor Relations, Volume 26; and Handbook of Qualitative Research Methods on Human Resource Management: Innovative Techniques. -
Paving the Way for Self-Driving Vehicles”
June 13, 2017 The Honorable John Thune, Chairman The Honorable Bill Nelson, Ranking Member U.S. Senate Committee on Commerce, Science & Transportation 512 Dirksen Senate Office Building Washington, DC 20510 RE: Hearing on “Paving the Way for Self-Driving Vehicles” Dear Chairman Thune and Ranking Member Nelson: We write to your regarding the upcoming hearing “Paving the Way for Self-Driving Vehicles,”1 on the privacy and safety risks of connected and autonomous vehicles. For more than a decade, the Electronic Privacy Information Center (“EPIC”) has warned federal agencies and Congress about the growing risks to privacy resulting from the increasing collection and use of personal data concerning the operation of motor vehicles.2 EPIC was established in 1994 to focus public attention on emerging privacy and civil liberties issues. EPIC engages in a wide range of public policy and litigation activities. EPIC testified before the House of Representatives in 2015 on “the Internet of Cars.”3 Recently, EPIC 1 Paving the Way for Self-Driving Vehicles, 115th Cong. (2017), S. Comm. on Commerce, Science, and Transportation, https://www.commerce.senate.gov/public/index.cfm/pressreleases?ID=B7164253-4A43- 4B70-8A73-68BFFE9EAD1A (June 14, 2017). 2 See generally EPIC, “Automobile Event Data Recorders (Black Boxes) and Privacy,” https://epic.org/privacy/edrs/. See also EPIC, Comments, Docket No. NHTSA-2002-13546 (Feb. 28, 2003), available at https://epic.org/privacy/drivers/edr_comments.pdf (“There need to be clear guidelines for how the data can be accessed and processed by third parties following the use limitation and openness or transparency principles.”); EPIC, Comments on Federal Motor Vehicle Safety Standards; V2V Communications, Docket No. -
Autonomous Vehicles on the Road from the Perspective of a Manufacturer's Liability for Damages
Autonomous Vehicles on the Road from the Perspective of a Manufacturer's Liability for Damages IUC International Maritime and Transport Law Course International Maritime and Transport Law – Transport Law de Lege Ferenda Dubrovnik, 9 September 2020 Contents 1. Introduction - definitions, perspective 2. Challenges - current set of rules; AV-AV, AV-CV, AV-rest 3. Opportunities - vision for future 4. Summary Conclusion Is there a need for more regulation in order to help the production of AVs and mitigate damages? 1. AVs to be treated as conventional vehicles, i.e. as any other product, movable 2. Treat them as elevators/lifts or as autopilot technology 3. New legal framework Current legal framework • National regulations • EU strategies/investments • Independent bodies/entities and their recommendations • Good practices What is an AV? • a vehicle enabled with technology that has the capability of operating or driving the vehicle without the active control or monitoring of a natural person - Maurice Schellekens, Self-driving cars and the chilling effect of liability law • 3 elements: 1. Means (AI or similar technology) 2. Purpose of the means 3. Way of operating the means (active control or monitoring of a human person) • AV as any other movable Waymo’s self driving car, 2020 Source: https://www.google.com/search?q=Waymo&rlz=1C1GCEA_enHR912HR912&sxsrf=ALeKk00G8P_y2Ik0neIaDNxJlqcjKMQBlw:1599407756496&source=lnms&tbm=isch&sa=X&ved=2ahUKEwjR67SZ8tTrAhXSTcAKHZATCDQ Q_AUoAXoECBgQAw&biw=1366&bih=657#imgrc=z71dtWbxBXnwgM Tesla model 3, 2020 Source: -
Model Based Systems Engineering Approach to Autonomous Driving
DEGREE PROJECT IN ELECTRICAL ENGINEERING, SECOND CYCLE, 30 CREDITS STOCKHOLM, SWEDEN 2018 Model Based Systems Engineering Approach to Autonomous Driving Application of SysML for trajectory planning of autonomous vehicle SARANGI VEERMANI LEKAMANI KTH ROYAL INSTITUTE OF TECHNOLOGY SCHOOL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE Author Sarangi Veeramani Lekamani [email protected] School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Place for Project Sodertalje, Sweden AVL MTC AB Examiner Ingo Sander School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Supervisor George Ungureanu School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Industrial Supervisor Hakan Sahin AVL MTC AB Abstract Model Based Systems Engineering (MBSE) approach aims at implementing various processes of Systems Engineering (SE) through diagrams that provide different perspectives of the same underlying system. This approach provides a basis that helps develop a complex system in a systematic manner. Thus, this thesis aims at deriving a system model through this approach for the purpose of autonomous driving, specifically focusing on developing the subsystem responsible for generating a feasible trajectory for a miniature vehicle, called AutoCar, to enable it to move towards a goal. The report provides a background on MBSE and System Modeling Language (SysML) which is used for modelling the system. With this background, an MBSE framework for AutoCar is derived and the overall system design is explained. This report further explains the concepts involved in autonomous trajectory planning followed by an introduction to Robot Operating System (ROS) and its application for trajectory planning of the system. The report concludes with a detailed analysis on the benefits of using this approach for developing a system. -
New Action Thriller by Alex Schuler Takes on the Controversial And
FOR IMMEDIATE RELEASE Publication Date: 8/17/2021 Alyssia Gonzalez Trade Paper ISBN: 9781933769844 ($18.95) Book Publicist eBook ISBN: 9781933769851 ($9.99) [email protected] New Action Thriller by Alex Schuler Takes on the Controversial and Dramatic History of Self-Driving Cars Level 4 Press presents a fictionalized retelling of how the autonomous car came to be. JAMUL, CA (FEB 2020) — Author Alex Schuler captures intense determination and a clash of egos in his new action thriller, Faster. It follows a fictional engineer and computer scientist who helped pioneer the self-driving car industry while navigating their own tumultuous relationship. Their drive to take on Detroit and become leaders in this technological revolution leaves the reader in awe of what humanity can accomplish, and just how much sacrifice it takes to change the world. Autonomous car breakthroughs spiked during the DARPA challenges between 2004 and 2013, giving names to eccentric computer scientists and engineers drawn to innovation. These remarkable individuals often find themselves embroiled in controversy as they forge new paths. Robotics wonderkid Sebastian Thrun is regularly in the news for his “internet freedom” crusades. Elon Musk is legendary for breaking norms, such as the Tesla autopilot feature rushed to market in 2015. Autonomous vehicle guru Anthony Levandowski took on Google, then found himself sentenced to jail, only to be pardoned by former president Donald Trump. These pioneers dedicated their lives to technological progress. But what’s behind their drive—self-interest or a desire to improve society? Or some of both? Alex Schuler fictionalizes the autonomous car industry’s past, exploring the motivations of these innovators and asking what we can expect for the future. -
Moving Forward: Self-Driving Vehicles in China, Europe, Japan, Korea, and the United States Darrell M
SEPTEMBER 2016 Moving forward: Self-driving vehicles in China, Europe, Japan, Korea, and the United States Darrell M. West EXECUTIVE SUMMARY “The car is one of the largest mobile devices out there,” Bridget Karlin of Intel.1 ehicles equipped with sensors and cameras navigate the streets of Mountain View, California; Austin, Texas; Kirkland, Washington; Dearborn, Michigan; Pittsburgh, Pennsylvania; Beijing, China; Wuhu, China; Gothenburg, Sweden; Rotterdam, Netherlands; Suzu, Japan; Fujisawa, Darrell M. West is vice V president and director Japan; and Seoul, South Korea, among other places. Sophisticated on-board software integrates of Governance Studies data from dozens of sources, analyzes this information in real-time, and automatically guides the and the founding director of the Center for car using high definition maps around possible dangers. Technology Innovation at Brookings. His studies include technology People are used to thinking about vehicles from a transportation standpoint, but increasingly they policy, electronic government, and mass have become large mobile devices with tremendous processing power.2 Experts estimate that “more media. than 100,000 data points” are generated by technology in a contemporary automobile.3 Advances in artificial intelligence (software that applies advanced computing to problem-solving) and deep learning (software analytics that learn from past experience) allow on-board computers connected to cloud processing platforms to integrate data instantly and proceed to desired destinations. With the emergence of 5G networks and the Internet of Things, these trends will harbor a new era of vehicle development. Between now and 2021, driverless cars will move into the marketplace and usher in a novel period.4 The World Economic Forum estimates that the digital transformation of the automotive industry will generate $67 billion in value for that sector and $3.1 trillion in societal benefits.5 That includes improvements from autonomous vehicles, connected travelers, and the transportation enterprise ecosystem as a whole. -
Waymo Rolls out Autonomous Vans Without Human Drivers 7 November 2017, by Tom Krisher
Waymo rolls out autonomous vans without human drivers 7 November 2017, by Tom Krisher get drowsy, distracted or drunk. Google has long stated its intent to skip driver- assist systems and go directly to fully autonomous driving. The Waymo employee in the back seat won't be able to steer the minivan, but like all passengers, will be able to press a button to bring the van safely to a stop if necessary, Waymo said. Within a "few months," the fully autonomous vans will begin carrying volunteer passengers who are now taking part in a Phoenix-area test that includes use of backup drivers. Waymo CEO John Krafcik, who was to make the In this Sunday, Jan. 8, 2017, file photo, a Chrysler announcement Tuesday at a conference in Pacifica hybrid outfitted with Waymo's suite of sensors Portugal, said the company intends to expand the and radar is shown at the North American International testing to the entire 600-square-mile Phoenix area Auto Show in Detroit. Waymo is testing vehicles on and eventually bring the technology to more cities public roads with only an employee in the back seat. The around the world. It's confident that its system can testing started Oct. 19 with an automated Chrysler Pacifica minivan in the Phoenix suburb of Chandler, Ariz. handle all situations on public roads without human It's a major step toward vehicles driving themselves intervention, he said. without human backups on public roads. (AP Photo/Paul Sancya, File) "To have a vehicle on public roads without a person at the wheel, we've built some unique safety features into this minivan," Krafcik said in remarks prepared for the conference. -
Registered Employers As of September 18, 2019
Registered Employers as of September 18, 2019 10X Genomics, Inc. 11 Main, Inc. 129th Rescue Wing, California Air National Guard (Moffett ANG) 1300 Battery dba Fog City 18th Street Commissary Inc 1Life Healthcare, Inc. 1ST CLASS LAUNDRY 1st Northern California Credit Union 1st United Services Credit Union 21st Amendment Brewery Cafe LLC 23andMe 24 Hour Fitness Usa, Inc. 24/7 Customer, Inc. 2K Games, Inc. 2Wire, Inc. dba Pace Americas 3875 Cypress Drive 3k Technologies, LLC 3Q Digital 3rd Street Collaborative LLC 4 Leaf Inc 495 Geary LLC 4Cs of Alameda County 5 Star Pool Plaster Inc 500 Startups Management Company LLC 7-Eleven, Inc. 85°C Bakery Cafe. 8x8 99designs, Inc. A Better Way, Inc. A Is For Apple, Inc. A Runner's Mind A&B Painting West, Inc. A. Diamond Production, Inc. A. T. Kearney, Inc. A.I.J.J. Enterprises, Inc. A^3 by Airbus A-1 Express Delivery Service A-1 JAYS MACHINING INC A10 Networks, Inc. A9.com A-A Lock & Alarm Inc AA/Acme Locksmiths Inc. dba Acme Security Systems AAA Business Supplies Limited Partnership AAA Northern California, Nevada and Utah AAA Sizzle Aap3 Inc AB Sciex LLC Abaxis, Inc. ABB Optical Group Abbott Laboratories Abbott Stringham & Lynch Abbvie Inc Abbyy USA Software House, Inc. Abco Laboratories, Inc. ABD INSURANCE & FINANCIAL SERVICES Abercrombie & Fitch Co. ABF Freight System, Inc. ABI Abilities United Able Exterminators, Inc Able Services About, Inc Acalanes Union High School Dist. Accel Management Company Inc Accela, Inc. AccelBiotech, Inc. Accellion Inc. Accentcare, Inc. Accenture LLP Access Information Protected Access Public Relations LLC Acco Brands Corporation Acco Engineered Systems, Inc. -
A Hierarchical Control System for Autonomous Driving Towards Urban Challenges
applied sciences Article A Hierarchical Control System for Autonomous Driving towards Urban Challenges Nam Dinh Van , Muhammad Sualeh , Dohyeong Kim and Gon-Woo Kim *,† Intelligent Robotics Laboratory, Department of Control and Robot Engineering, Chungbuk National University, Cheongju-si 28644, Korea; [email protected] (N.D.V.); [email protected] (M.S.); [email protected] (D.K.) * Correspondence: [email protected] † Current Address: Chungdae-ro 1, Seowon-Gu, Cheongju, Chungbuk 28644, Korea. Received: 23 April 2020; Accepted: 18 May 2020; Published: 20 May 2020 Abstract: In recent years, the self-driving car technologies have been developed with many successful stories in both academia and industry. The challenge for autonomous vehicles is the requirement of operating accurately and robustly in the urban environment. This paper focuses on how to efficiently solve the hierarchical control system of a self-driving car into practice. This technique is composed of decision making, local path planning and control. An ego vehicle is navigated by global path planning with the aid of a High Definition map. Firstly, we propose the decision making for motion planning by applying a two-stage Finite State Machine to manipulate mission planning and control states. Furthermore, we implement a real-time hybrid A* algorithm with an occupancy grid map to find an efficient route for obstacle avoidance. Secondly, the local path planning is conducted to generate a safe and comfortable trajectory in unstructured scenarios. Herein, we solve an optimization problem with nonlinear constraints to optimize the sum of jerks for a smooth drive. In addition, controllers are designed by using the pure pursuit algorithm and the scheduled feedforward PI controller for lateral and longitudinal direction, respectively. -
Stroz Friedberg
Case 3:17-cv-00939-WHA Document 1928-24 Filed 10/02/17 Page 1 of 34 Exhibit 22 Case 3:17-cv-00939-WHA Document 1928-24 Filed 10/02/17 Page 2 of 34 STROZ FRIEDBERG Prepared for Morrison & Foerster LLP 0' Melveny & Myers LLP Prepared by Stroz Friedberg August 5, 2016 Summary Report Project Unicorn Inv estigation PRIVILEGED & CONFIDENTIAL ATTORNEY WORK PRODUCT OUTSIDE COUNSEL & A TTORNEYS-EYES-ONLY CONFIDENTIAL UBER00312450 Case 3:17-cv-00939-WHA Document 1928-24 Filed 10/02/17 Page 3 of 34 TABLE OF CONTENTS I. Scope of Engagement... ....... ............ .. ........................ ...... .......... ................. .. .................. .3 II. Procedural History . .. ...... .. ... ...... ... .. .... .. ....... ..... .... ......... ... ..... ........ ...... ........... ........ ....... 3 Ill. Methodology . .. .. .. .. .. .. ... ............ ........... .... 5 A Interviews ........................... ............. ......... .... ..................... ............ .. ......... 5 B. Digital Forensics Preservation, Data Collection and Review .... 6 C. Document Review .. .. .. .. .. ........................................................ ................................ 7 D. Investigation of Levandowski's Disposal of Google Documents.... .... ... .. ............. .. ............ 7 IV. Summary of Pertinent Findings Regarding the Diligenced Employees .................................. ... ......... 8 A Anthony Levandowski ................................ ... .. ....... ....... .................... .......... .. ... ................ ... ... ..... -
Supplementary Submission Intellectual Property And
MAY 2017 HOUSE OF REPRESENTATIVES STANDING COMMITTEE ON INDUSTRY, INNOVATION, SCIENCE AND RESOURCES SUPPLEMENTARY SUBMISSION INTELLECTUAL PROPERTY AND SELF-DRIVING CARS: WAYMO VS UBER DR MATTHEW RIMMER PROFESSOR OF INTELLECTUAL PROPERTY AND INNOVATION LAW FACULTY OF LAW QUEENSLAND UNIVERSITY OF TECHNOLOGY Queensland University of Technology 2 George Street GPO Box 2434 Brisbane Queensland 4001 Australia Work Telephone Number: SUPPLEMENTARY SUBMISSION INTELLECTUAL PROPERTY AND SELF-DRIVING CARS: WAYMO VS UBER Matthew Rimmer While the Australian Parliament has been inquiring into social issues relating to land-based driverless vehicles in Australia since February 2017, intellectual property litigation has erupted in the courts between Waymo (Google’s Self-Driving Car Project) and Uber in the United States. The case has attracted much public attention. Alex Davies has reflected: Until today, the race to build a self-driving car seemed to hinge on who had the best technology. Now it’s become a case of full-blown corporate intrigue. Alphabet’s self-driving startup, Waymo, is suing Uber, accusing the ridesharing giant of stealing critical autonomous driving technology. If the suit goes to trial, Apple’s legal battle with Samsung could wind up looking tame by comparison.1 The intellectual property dispute could have significant implications for competition in respect of self-driving cars and autonomous vehicles. The New York Times has noted that ‘companies in Silicon Valley and Detroit are betting big on self-driving car technology’ and ‘the -
Nevada Supply Chain Analysis
Financial Advisory Gaming & Hospitality Public Policy Research Real Estate Advisory [Year] Regional & Urban Economics NEVADA COVID-19 COORDINATED ECONOMIC RESPONSE PLAN: SUPPLY CHAIN ANALYSIS PREPARED FOR THE: & DECEMBER 2020 Prepared By: & 7219 West Sahara Avenue Spatial Economic Concepts Suite 110-A Las Vegas, NV 89117 Main 702-967-3188 www.rcgecon.com December 31, 2020 Mr. Michael Brown Executive Director Governor’s Office of Economic Development State of Nevada 808 W. Nye Lane Carson City, Nevada 89703 Re: Nevada COVID-19 Coordinated Economic Response Plan: Supply Chain Analysis (“Study/Report”) Dear Mr. Brown: The Consulting Team (“CT’) of RCG Economics LLC (“RCG”) and Spatial Economic Concepts (“SEC”) is pleased to submit the referenced study to the Governor’s Office of Economic Development (“GOED”) and the Nevada State Treasurer’s Office (“STO”) relative to the Nevada COVID-19 Coordinated Economic Response Plan by the State of Nevada (“the State or Nevada”) for an analysis of Nevada’s supply chain and last-mile delivery services in the aftermath of the COVID-19 pandemic. According to GOED: “The COVID-19 pandemic has resulted in a number of adverse effects on the State of Nevada’s economy, as the State has been faced with disruptions to existing supply chain infrastructure. The strain placed on the supply chain throughout the public health emergency has resulted in significant delays for the delivery of essential products and lifesaving prescription medications for Nevada residents.” This Study focuses on the steps that Nevada can take to improve its supply chain infrastructure to adequately respond to the COVID-19 pandemic and contains the following elements.