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Bo-Chun Chen Email & Phone Number

Research Collaborator at Advanced Agent Robotics Technology Lab | Carnegie Mellon University School of Co
Location: Pittsburgh, Pennsylvania, United States 5 work roles 3 schools
1 work email found @mediatek.com LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

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Current company
Advanced Agent Robotics Technology Lab | Carnegie Mellon University School of Co
Role
Research Collaborator
Location
Pittsburgh, Pennsylvania, United States

Who is Bo-Chun Chen? Overview

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Quick answer

Bo-Chun Chen is listed as Research Collaborator at Advanced Agent Robotics Technology Lab | Carnegie Mellon University School of Co, based in Pittsburgh, Pennsylvania, United States. AeroLeads shows a work email signal at mediatek.com and a matched LinkedIn profile for Bo-Chun Chen.

Bo-Chun Chen previously worked as Software Tool Development/RTL Design Engineer at Wolley Inc. and Software Tool Development/RTL Design Engineer at Mediatek. Bo-Chun Chen holds Master Of Science - Ms, Computer Vision from 美國卡內基美隆大學.

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bchen@mediatek.com
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About Bo-Chun Chen

Bo-Chun Chen is a Research Collaborator at Advanced Agent Robotics Technology Lab | Carnegie Mellon University School of Co. They possess expertise in verilog, digital image processing, computer vision, c++, python and 19 more skills. They is proficient in 英文.

Listed skills include Verilog, Digital Image Processing, Computer Vision, C++, and 20 others.

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Advanced Agent Robotics Technology Lab | Carnegie Mellon University School of Co
Advanced Agent Robotics Technology Lab | Carnegie Mellon University School Of Co
Research Collaborator
Pittsburgh, PA, US
5 roles

Bo-Chun Chen work experience

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Research Collaborator

Advanced Agent Robotics Technology Lab | Carnegie Mellon University School Of Co

Pittsburgh, Pa, Us

Software Tool Development/Rtl Design Engineer

Hsinchu City, Taiwan, Taiwan

1. Computer Aided Design Software Tools Development for CXL/PCIE Memory Controller. (Python)– Developed RTL checker in Python using OOP paradigm to averagely reduce 70% of RTL errors in a project by building 30+ customized checking rules, and further secured the correctness and sped up the code reconstruction by 50% via establishing 30+ unit tests within Python Unittest Framework.– Used YAML format to interface with other automatic programs, and used Git and GitLab for version control.2. RTL and u-Architecture Design for Multiple Memory Controller Projects. (Verilog/SystemVerilog)– Developed the u-architecture and RTL of a Transaction Layer than can convert parallel CXL3.1messages into multiple AMBA CXS protocols.– Developed the u-architecture and RTL of a Transaction Layer than can convert CXL3.1 messages into Intel CPI 1.0 standard and Xilinx native DDR4 APP standard.– Developed the u-architecture and RTL of an NVME-oC Bridge to realize reducing unnecessary data movement between host and device, achieving the granularity of 64B rather than standard 4KB.

Aug 2020 - Aug 2024

Software Tool Development/Rtl Design Engineer

Hsinchu

2019 performance review : I+ (exceed expectation)1.Automatic Software Tools Development for 4G-LTE and 5G-NR Mobile Phone Applications. (Perl, TCL)– Developed 5+ Perl scripts to integrate XDC tool codes and error-checking mechanism into the Perforce platform using OOP design pattern, resolving 200 implicit potential glitches in a project on average, and sped up the tool check closure by 80%.– Established 20+ functions and 2 traversing algorithms in TCL scripts, and further enveloped them as a central library that can be called by users to automatically set up SDC for authorized IPs in projects.2. RTL Design and Sub-System Integration for 4G-LTE and 5G-NR Mobile Phone Applications. (Verilog)– Developed 7 new IPs in Verilog to address problems covering asynchronous bridges, synchronous slicing, arbitration, idle protection, and BIST for transition faults between sub-systems that helped drop 200 dppm within only 400 cycles and cost of 19.5k (um*um) (TSMC 10nm).– Led a top module team for developing debugging mechanism, Watch Dog Reset system, and interrupt generating unit to reduce 90% of user’s time in debugging with adding their own auxiliary signals.– Integrated 30+ GALS AXI4.0, GALS AHB3.0, APB3.0 asynchronous interfaces and clock controller unit in infra system to reach the peripheral requests from projects.

Jun 2017 - Aug 2020

Digital Ic Design Engineer

Hsinchu, Taiwan

2015 performance review : I+ (exceed expectation)2016 performance review : I+ (exceed expectation)

Dec 2014 - May 2017
3 education records

Bo-Chun Chen education

Master Of Science - Ms, Computer Vision

School of Computer Science Robotics Institute Master of Science in Computer Vision Coursework: 10601 Machine Learning 16820 Advanced.

Master'S Degree, Graduate Institute Of Electronic Engineering, Ics, Gpa : 4.17/4.3

Thesis : Real-time Eye Localization, Eye Blinking Detection, and Gaze Detection System without Infrared Illumination ●Ranked 1st in 101-2.

FAQ

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What company does Bo-Chun Chen work for?

Bo-Chun Chen works for Advanced Agent Robotics Technology Lab | Carnegie Mellon University School of Co.

What is Bo-Chun Chen's role at Advanced Agent Robotics Technology Lab | Carnegie Mellon University School of Co?

Bo-Chun Chen is listed as Research Collaborator at Advanced Agent Robotics Technology Lab | Carnegie Mellon University School of Co.

What is Bo-Chun Chen's email address?

AeroLeads has found 1 work email signal at @mediatek.com for Bo-Chun Chen at Advanced Agent Robotics Technology Lab | Carnegie Mellon University School of Co.

Where is Bo-Chun Chen based?

Bo-Chun Chen is based in Pittsburgh, Pennsylvania, United States while working with Advanced Agent Robotics Technology Lab | Carnegie Mellon University School of Co.

What companies has Bo-Chun Chen worked for?

Bo-Chun Chen has worked for Advanced Agent Robotics Technology Lab | Carnegie Mellon University School Of Co, Wolley Inc., Mediatek, 聯發科, and National Taiwan University.

How can I contact Bo-Chun Chen?

You can use AeroLeads to view verified contact signals for Bo-Chun Chen at Advanced Agent Robotics Technology Lab | Carnegie Mellon University School of Co, including work email, phone, and LinkedIn data when available.

What schools did Bo-Chun Chen attend?

Bo-Chun Chen holds Master Of Science - Ms, Computer Vision from 美國卡內基美隆大學.

What skills is Bo-Chun Chen known for?

Bo-Chun Chen is listed with skills including Verilog, Digital Image Processing, Computer Vision, C++, Python, Perl, Hardware Architecture, and Low Power Design.

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