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Ke Wang Email & Phone Number
Founder
at
Edge Accel LLC
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Who is Ke Wang? Overview
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Quick answer
Ke Wang is listed as Founder at Edge Accel LLC, based in Charlottesville, Virginia, United States. AeroLeads shows a matched LinkedIn profile for Ke Wang.
Ke Wang previously worked as Chief AI Officer at Acumino and Chief Data Scientist at Ai Data Innovations. Ke Wang holds Sensor Fusion Nanodegree from Udacity.
Company email context
Email format at Edge Accel LLC
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Edge Accel LLC
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Profile bio
About Ke Wang
Leading R&D teamBuild AI strategyProject experience including data collection -> data ETL/cleaning -> ML model selection/tuning/training -> model deployment/optimization on targeting devices- Robotics, ROS/ROS2, Gazebo, Moveit- Computer vision algorithms, face/body/object detection/recognition/tracking- Time series analysis- Training AI at scale: Machine learning/AI algorithms and frameworks- Deploying AI at edge devices: experience with microcontrollers, FreeRTOS, Nvidia Jetson, Intel OpenVINO, Google Coral- AR/VR/MR development using Unity
Listed skills include High Performance Computing, Mpi, Openmp, Linux, and 25 others.
Current workplace
Ke Wang's current company
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14 roles
Ke Wang work experience
A career timeline built from the work history available for this profile.
Sep 2022 - Present
Chief Data Scientist
Led projects in the field of Data Science, Machine Learning, Computer Vision, IoT, AR/VR, Embedded system, and Robotics
Feb 2020 - Aug 2022
Senior Scientist
University Of Virginia, Curry School Of Education
Behaviour Modeling using Body-Worn Sensors DataTime series feature selection
Jul 2019 - Jan 2020
Senior Scientist
Data Science Institute, University Of Virginia
Medical image analysis
Aug 2018 - Jan 2020
Senior Scientist
Center For Diabetes Technology, University Of Virginia
Automated data collection/cleaning system for smart devicesFeature Learning for time series Data enhanced prediction and control
Apr 2017 - Jan 2020
Senior Scientist
Jul 2016 - Jul 2017
Research Scientist
Automata ProcessingDesign/optimize power distributribution networkGPU computing (benchmarks and code optimization)Heterogeneous architecture
Jan 2014 - Jul 2016
Postdoctoral Research Associate
GPU BenchmarksGPU program optimization PDN simulation
Aug 2012 - Jan 2014
Member Of Spec High Performance Group
Development of SPEC HPG Accelerator Benchmark suite.http://www.spec.org/hpg/press/acceleratorbmk.html
Jul 2012 - Jan 2016
Postdoctoral Researcher
Problem analysis and computing solution development for charging/discharging process of a supercapacitor. Numerical algorithm design and implement
Oct 2011 - Jul 2012
Associate Professor(Jun.2010-Oct.2011) / Assistant Professor(Jul. 2009-Jun. 2010)
- Team Leader for Vector Math Library and Fast Fourier Transform group. Performed algorithm analysis and performance improvements through software optimization, use of Single Instruction Multiple Data (SIMD) and Fused.
- Team Leader for performance tuning of power grid simulation software. Performance analysis, using symmetric minimum degree ordering, math library calling interface optimization and code level algorithm optimization of.
- Team Leader for staff statistical software. Read Excel files and implement statistical computation. Design software architecture and GUI, managed the project. 2010
Jul 2009 - Oct 2011
Postdoctoral Researcher
- Led the parallel algorithm design of an online security early warning system for power grid supported by a well known IT leading company. Parallel algorithm design and implement on MPI. Load balance based on metis.
- Led the parallel algorithm design and MPI implementation of a Brownian Dynamics program with the support of a well known IT leading company. Parallel algorithm design and implement on MPI. Overlap communication and.
Jul 2007 - Jun 2009
Visiting Researcher
Delft Institute Of Applied Mathematics, Delft University Of Technology
- Proposed and implemented a new method for the simulation of large scale power systems. Introduced new preconditioning method, achieved a 30% reduction in time compared with conventional direct solver.
Sep 2008 - Nov 2008
5 education records
Ke Wang education
Sensor Fusion Nanodegree
Udacity
Computer Vision Nanodegree, Artificial Intelligence
Udacity
Intel® Edge Ai For Iot Developers Nanodegree
Udacity
Robotics Software Engineer
Udacity
Phd, Classical Density Functional Theory
Tsinghua University
FAQ
Frequently asked questions about Ke Wang
Quick answers generated from the profile data available on this page.
What company does Ke Wang work for?
Ke Wang works for Edge Accel LLC.
What is Ke Wang's role at Edge Accel LLC?
Ke Wang is listed as Founder at Edge Accel LLC.
Where is Ke Wang based?
Ke Wang is based in Charlottesville, Virginia, United States while working with Edge Accel LLC.
What companies has Ke Wang worked for?
Ke Wang has worked for Edge Accel Llc, Acumino, Ai Data Innovations, University Of Virginia, Curry School Of Education, and Data Science Institute, University Of Virginia.
How can I contact Ke Wang?
You can use AeroLeads to view verified contact signals for Ke Wang at Edge Accel LLC, including work email, phone, and LinkedIn data when available.
What schools did Ke Wang attend?
Ke Wang holds Sensor Fusion Nanodegree from Udacity.
What skills is Ke Wang known for?
Ke Wang is listed with skills including High Performance Computing, Mpi, Openmp, Linux, Cuda, Matlab, Simulations, and Numerical Analysis.
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