Hao-Wei Chan Email & Phone Number

Collaborated with VLSI and Package teams to integrate machine learning techniques into chip design automation tools, improving efficiency and automation.- Developed a deep learning model using Transformers to accelerate eye diagram analysis for high-speed links, improving efficiency and enhancing simulation processes.- Directed a team to create a Transformer-based power grid optimization tool, optimizing voltage drop minimization across different process nodes.- Led the development of a graph-based Transformer model for IR drop prediction in early-stage SoC designs, supporting advanced CoWoS packaging and enabling a shift-left approach.

Collaborated with cross-functional teams to integrate layout validation and auto-routing tools into existing design workflows, enhancing overall productivity.- Developed a power performance management platform for package layouts, leveraging deep learning to accelerate simulations and enable hot spot visualization for designers.- Oversaw the creation of an automated package layout tool using simulated annealing to optimize voltage drop, improving efficiency and reducing manual effort.

Developed AI-driven indoor positioning solutions to enhance location accuracy for equipment and personnel- Led the development of AI-driven indoor positioning systems, enabling customers to accurately locate indoor equipment or personnel using Android devices or IoT sensors.- Developed an Android application for clients and end users, allowing them to transmit sensor data and view positioning results in real-time.- Created various data analysis and visualization tools to quantitatively measure system performance and provide strategic recommendations.- Designed a deep learning model through ETL processes to handle hundreds of hours of data collected by robots, improving overall positioning accuracy by 50%.- Developed a patented method utilizing crowdsourced data for unsupervised deep learning positioning without manual calibration, and published findings in the IEEE Internet of Things Journal.

Taipei City, Taiwan

Optimized PCB design and signal integrity solutions to enhance cost-effectiveness and performance in circuit board development- Enhanced PCB stacking strategy software using genetic algorithms to identify optimal solutions that balance cost and performance effectively.- Collaborated with global teams to address signal integrity issues in server motherboard routing, reducing noise interference on DDR transmission lines and providing strategic recommendations for future designs.

Master'S Degree, Electrical, Electronics And Communications Engineering

Bachelor Of Science - Bs, Atmospheric Sciences And Meteorology

Bachelor Of Science - Bs, Physics