Brian C. Becker Email & Phone Number
@uber.com
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Who is Brian C. Becker? Overview
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Brian C. Becker is listed as Principal Engineer at Aurora, based in Pittsburgh, Pennsylvania, United States. AeroLeads shows a work email signal at uber.com and a matched LinkedIn profile for Brian C. Becker.
Brian C. Becker previously worked as Senior Software Engineer II at Uber Advanced Technology Center and Senior Software Engineer I at Uber Advanced Technology Center. Brian C. Becker holds Ph.D. (Pending) And M.S., Robotics from Carnegie Mellon University.
Email format at Aurora
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AeroLeads found 1 current-domain work email signal for Brian C. Becker. Compare company email patterns before reaching out.
About Brian C. Becker
Specialties: Robotics, Computer Vision, Vision-Based Control, 3D Modeling, Real-Time Algorithms, Control Systems, Motion Control, Large-Scale Data Mining, Face Recognition, and Medical Robotics.
Listed skills include Matlab, Robotics, Perception, Opencv, and 12 others.
Brian C. Becker's current company
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Brian C. Becker work experience
A career timeline built from the work history available for this profile.
Senior Software Engineer Ii
Tech lead for perception project for autonomous systems.
Senior Software Engineer I
Worked on perception projects for autonomous systems.
Senior Robotics Engineer
Researching perception for autonomous haul trucks for both day and night operation in mining environments. I work on integrating both ladar and radar into a unified framework to enable obstacle detection in challenging environments with dust, rain, snow, and other difficult scenarios.
Ph.D. Candidate
Researched 3D visual control of a surgical tool for retinal surgery and face recognition in real world Internet scale scenarios such as Facebook.* Vision-Based Handheld Micromanipulation (C++, OpenCV, GPU)Developed vision algorithms for 3D modeling of anatomy and a virtual fixtures framework for control of handheld micromanipulators. Focused on real-time.
Research Assistant
Researched and implemented web based artificial intelligence systems. Developed intelligent wizard guide and added ontology based search engine to the backend of a knowledge based system.
Robotics Developer
Designed and developed real-time computer vision systems, path planning, and robotic subsystems for autonomous ground vehicles. Specialized in object detection, map-building, motion control, obstacle avoidance, and integrating sensors such as LIDAR, stereo cameras, compass, and DGPS. Practiced extensive software engineering with large C++ codebases. Worked.
Visiting Researcher
Collaborated internationally on Contextual Graphs, an AI model. Built ontology editor in C# and MySQL/XML conversion modules in Java. (Worked here both June 2005 and June 2006)
Brian C. Becker education
Ph.D. (Pending) And M.S., Robotics
B.S., Computer Engineering
Frequently asked questions about Brian C. Becker
Quick answers generated from the profile data available on this page.
What company does Brian C. Becker work for?
Brian C. Becker works for Aurora.
What is Brian C. Becker's role at Aurora?
Brian C. Becker is listed as Principal Engineer at Aurora.
What is Brian C. Becker's email address?
AeroLeads has found 1 work email signal at @uber.com for Brian C. Becker at Aurora.
Where is Brian C. Becker based?
Brian C. Becker is based in Pittsburgh, Pennsylvania, United States while working with Aurora.
What companies has Brian C. Becker worked for?
Brian C. Becker has worked for Aurora, Uber Advanced Technology Center, National Robotics Engineering Center (Nrec), Cmu, Robotics Institute, Cmu, and Intelligent Systems Lab, Ucf.
How can I contact Brian C. Becker?
You can use AeroLeads to view verified contact signals for Brian C. Becker at Aurora, including work email, phone, and LinkedIn data when available.
What schools did Brian C. Becker attend?
Brian C. Becker holds Ph.D. (Pending) And M.S., Robotics from Carnegie Mellon University.
What skills is Brian C. Becker known for?
Brian C. Becker is listed with skills including Matlab, Robotics, Perception, Opencv, Research, Facebook Api, Surgical Instruments, and Machine Learning.
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