Chen Chen, Ph.D. Email & Phone Number
Who is Chen Chen, Ph.D.? Overview
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Chen Chen, Ph.D. is listed as Sr. Research Engineer, AI Robotics at Apple, based in San Jose, California, United States. AeroLeads shows a matched LinkedIn profile for Chen Chen, Ph.D..
Chen Chen, Ph.D. previously worked as Sr. Research Engineer, Simulation, SPG at Apple and Graduate Teaching and Research Assistant at Northwestern University. Chen Chen, Ph.D. holds Doctor Of Philosophy (Ph.D.), Information Theory / Ai / Adaptive Animal Behavior from Northwestern University.
Email format at Apple
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About Chen Chen, Ph.D.
Chen Chen, Ph.D. is a Sr. Research Engineer, AI Robotics at Apple. Colleagues describe them as "I have known Chen since he took our NUVentions Web and Media class at Northwestern in 2018. Not only is he one of the best developers that i know, he is a great team player and all around good person. His knowledge of Computer Vision and Simulations is exceptional. I see good things in his future."
Chen Chen, Ph.D.'s current company
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Chen Chen, Ph.D. work experience
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Sr. Research Engineer, Simulation, Spg
Graduate Teaching And Research Assistant
My research focuses on leveraging multiple-disciplinary knowledge to explore the underlying sampling strategy of path planning behavior of animals under high uncertainty, which involves:1. Application of information theory, especially information/entropy maximization and proportional-betting sampling strategy through the recursive Bayesian filtering, to model the path planning strategy of animals.2. Triangulation techniques including SfM and bundle adjustment to build a real-time closed-loop 3D tracking and reconstruction system for free-swimming underwater robots that apply the information-driven path planning for navigation.3. Designed and built closed-loop animal behavior tracking system using computer vision and signal processing techniques including dense optical flow
Guest Lecturer And Course Consultant Of Me224
I am proud to get involved in cutting-edge curriculum reform for non-CS engineering undergraduate students to have better emphases on programming and algorithm as essential problem-solving skills. Towards that goal, I worked as both guest lecturer and consultant for two quarters under two different professors and have made several key contributions involving:1. Completely redesigned a 200 level course with a focus on comprehensive learning of Python programming language, basic algorithm thinking skills, and data-driven analysis and visualizations;2. Taught a good number of lectures on data-driven analysis and statistical analysis with Python;3. Designed various infrastructures including assignment auto-grader with nbgrader and Linux "deep-focus" environment for distraction-free learning;4. (Mostly importantly) Helped with documentation on the knowledge and feedback from the first two quarter of the redesigned course, which served as a successful recipe for future course designs.
Teaching Assistant For Bme 301 - Systems Physiology - Nervous System
I served both as a teaching assistant during normal lectures and an instructor for all the discussion sessions throughout the quarter where I help students digest course contents as well as getting to know cutting-edge research achievements in the field of neuroscience to build up interest.
Course Assistant Of Bme 401
Course Assistant of BME 401 Advanced Systems Physiology - Neuroscience
Co-Founder And Cto
At PrydeVR, I oversee and conduct all product development and research. Over the year of 2017, the solution I developed has achieved the following tractions:1. One of the best-performing and most easy use solution for capture and share player's VR experience to social media2. Product adopted and publicly launched with Sairento VR, one of the top 10 VR games of 2017, and has interacted with more than 20,000 VR players, and recorded more than 300 public game play YouTube videos.
Research Assistant At The Intelligent Computing Lab
My project at the Intelligent Computing Lab mainly involves:1. Apply various type of bio-inspired algorithms like Genetic Algorithm, Particle Swarm Optimizer, Differential Evolution, etc., to optimize the computational load for l-0 and l-1 norm evaluation2. Develop a fast algorithm for image sparse decomposition based on matching pursuit.
It Consultant
Student Assistant
Chen Chen, Ph.D. education
Doctor Of Philosophy (Ph.D.), Information Theory / Ai / Adaptive Animal Behavior
Master Of Science (M.S.), Biomedical/Medical Engineering
Bachelor Of Engineering (B.E.), Biomedical/Medical Engineering
Frequently asked questions about Chen Chen, Ph.D.
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What company does Chen Chen, Ph.D. work for?
Chen Chen, Ph.D. works for Apple.
What is Chen Chen, Ph.D.'s role at Apple?
Chen Chen, Ph.D. is listed as Sr. Research Engineer, AI Robotics at Apple.
Where is Chen Chen, Ph.D. based?
Chen Chen, Ph.D. is based in San Jose, California, United States while working with Apple.
What companies has Chen Chen, Ph.D. worked for?
Chen Chen, Ph.D. has worked for Apple, Northwestern University, Pryde (Sharevr), Zhengzhou University, and Science And Technology Association Of Zhengzhou University.
How can I contact Chen Chen, Ph.D.?
You can use AeroLeads to view verified contact signals for Chen Chen, Ph.D. at Apple, including work email, phone, and LinkedIn data when available.
What schools did Chen Chen, Ph.D. attend?
Chen Chen, Ph.D. holds Doctor Of Philosophy (Ph.D.), Information Theory / Ai / Adaptive Animal Behavior from Northwestern University.
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