Jun Tan Email & Phone Number
@uwm.edu
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Who is Jun Tan? Overview
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Jun Tan is listed as Senior Research Engineer at Envision Digital at Envision Digital, based in Redwood City, California, United States. AeroLeads shows a work email signal at uwm.edu and a matched LinkedIn profile for Jun Tan.
Jun Tan previously worked as Senior Research Engineer at Envision Digital and Power System Engineer at Geirina. Jun Tan holds Doctor Of Philosophy - Phd, Electrical Engieering from University Of Wisconsin-Milwaukee.
Email format at Envision Digital
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AeroLeads found 1 current-domain work email signal for Jun Tan. Compare company email patterns before reaching out.
About Jun Tan
Jun Tan is a Senior Research Engineer at Envision Digital at Envision Digital. They possess expertise in matlab, simulations, simulink, pspice, algorithms and 4 more skills. They is proficient in English.
Listed skills include Matlab, Simulations, Simulink, Pspice, and 5 others.
Jun Tan's current company
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Jun Tan work experience
A career timeline built from the work history available for this profile.
Power System Engineer
Postdoctoral Researcher
Research & Teaching Assistant
- Developed a comprehensive framework for reliability evaluation of power distribution systems with electric vehicles.
- Developed an innovative load frequency control system for frequency regulation with electric vehicles.
- Built an integrated power distribution and transportation system for electric vehicle charging station planning.
- Developed a reliability-differentiated service framework for power distribution systems with EV penetrations.
- Software development leader for the simulator “Multi-agent Building Automation and Control Simulator”.
- Research leader for developing the simulation tool “Probabilistic Reliability Evaluation Tool of Water Distribution Networks”.
Research And Teaching Assistant
- Student research group leader for project “Impacts of Plug-in Hybrid Electric Vehicles on Distribution Network Reliability”.
- Developed intelligent algorithms to integrate PHEVs into smart grid.
- Software development leader for the simulator “Reliability Assessment Tool for Distribution Systems with PHEVs Penetration”.
- Involved
Research Assistant
- Student research group leader for the project of designing a 200 kVA Dynamic Voltage Restorer.
- Core member in research of the control technology of inverter in photovoltaic system.
- Rich experience of designing, testing, and resolving issues with EMC requirements.
- 3 years of experience in PCB and system design for EMC compliance.
- 2 years of experience in EMC testing for power electronic products.
- Professional with converter design and control.
Jun Tan education
Doctor Of Philosophy - Phd, Electrical Engieering
Ph.D. Student, Electrical Engineering
Master Of Science (Ms), Power Electronics
Bachelor Of Science (Bs), Electrical And Electronics Engineering
Frequently asked questions about Jun Tan
Quick answers generated from the profile data available on this page.
What company does Jun Tan work for?
Jun Tan works for Envision Digital.
What is Jun Tan's role at Envision Digital?
Jun Tan is listed as Senior Research Engineer at Envision Digital at Envision Digital.
What is Jun Tan's email address?
AeroLeads has found 1 work email signal at @uwm.edu for Jun Tan at Envision Digital.
Where is Jun Tan based?
Jun Tan is based in Redwood City, California, United States while working with Envision Digital.
What companies has Jun Tan worked for?
Jun Tan has worked for Envision Digital, Geirina, University Of Wisconsin Milwaukee, University Of Toledo, and Huazhong University Of Science And Technology.
How can I contact Jun Tan?
You can use AeroLeads to view verified contact signals for Jun Tan at Envision Digital, including work email, phone, and LinkedIn data when available.
What schools did Jun Tan attend?
Jun Tan holds Doctor Of Philosophy - Phd, Electrical Engieering from University Of Wisconsin-Milwaukee.
What skills is Jun Tan known for?
Jun Tan is listed with skills including Matlab, Simulations, Simulink, Pspice, Algorithms, Labview, Machine Learning, and Mathematical Modeling.
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