David Z. Pan

ADAPT: An Adaptive Machine Learning Framework with Application to Lithography Hotspot Detection

2021

Recent advances in machine learning have introduced a new lens to envision novel solutions in many research domains and the Electronic Design Automation field is an evident example. Today, Machine Learning research is penetrating into …

Design and experimental demonstration of a hardware-efficient integrated optical neural network

2022

The optical neural network (ONN) is a promising neuromorphic framework for implementing deep learning tasks thanks to the key features of light, such as high parallelism, low latency, and low power consumption. As the size …

Early Pancreatic Cancer Detection Using Deep Learning and Optical Neural Networks on Integrated Photonic Chips

2025

Employing Integrated Photonic Chip-Based Optical Neural Networks (ONNs) for early pancreatic cancer detection, achieved an average Dice score of 0.58 for 2D and 0.6412 for 3D segmentation, matching or surpassing electronic models, demonstrating ONNs as …