Zhaoyuan Yang Email & Phone Number

Mountain View, Ca, Us

Albany, New York, United States

Computer Vision and Machine Learning◦ Win and involve several research projects from DARPA, Army Research, etc.◦ Implement and deploy multiple computer vision models related to industrial asset inspections on AWS.◦ Work on model design, deployment, hardware and software inference acceleration.Federal Research Projects:DARPA - Geometries of Learning: Building robust and trustworthy computer vision models. Research on diffusion models as well as generative AI. Research outcomes are published on AAAI and ICLR. DARPA - Environment-driven Conceptual Learning: Building system which can automatically and robustly analyze large amounts of multimodal data. Research on LLM, vision-language and other foundation models.Army Research Lab - Scalable, Adaptive, and Resilient Autonomy: Propose a risk-aware off-roadautonomous navigation framework. Involve in semantic segmentation and uncertainty quantification.DARPA - Reverse Engineering of Deceptions: Reverse engineer the toolchains behind attacks onmachine learning systems. Involve in analysis of adversarial attacks on ImageNet and academic partnership.DARPA - Recovery of Symbolic Mathematics from Code: Automatically recover mathematical modelsimplemented in compiled C codes. Work on lifting compiled binary to disassembly.Department of Energy - Cyber-Physical Resilience for Wind Power Generation: Protectcyber-physical systems from cyber-attack. Develop real-time time series models for attack detection.

Albany, New York Area

Edison Engineer @ Machine Learning Lab @ Edge Computing Lab @ Computer Vision LabFocus on ML/CV model design and inference acceleration, robotics and edge computing.

Columbus, Ohio Area

Thesis Research - Reinforcement Learning - Robotics - Cyber Physical System - Adversarial LearningGrant: National Science Foundation (NSF) CNS - 1565487• Research of machine learning algorithms for autonomous vehicles and robotics. • Design deep reinforcement learning algorithms using TensorFlow and PyTorch.• Propose an adversarial training method to increase the stability of deep reinforcement learning.• Analyze advantages and disadvantages of neural networks for function approximation.• Design object detection and motion planning algorithms for drones using C++ and OpenCV.

Columbus, Ohio Area

Machine Learning in Manufacturing & Digital Transformation:• Designed a machine learning/computer vision application for process innovation.• Analyzed data from manufacturing process and significantly reduced the manufacturing cost.• Prototyped a computer vision fault detection algorithm for manufacturing systems.• Wrote a POC document for use cases of Google Cloud Platform in the Science and Technology Center.• Developed a live Twitter data analytics and content translation tool using Google Cloud Platform.

Greater Seattle Area

Discover information of human cell with machine learning & computer vision:• Designed automatic feature selection algorithms using R and Python. • Built a cell structure prediction model from the selected features using XGBoost. • Performed correlation, causal inference and association rule analysis for the features extracted from images of cells.• Applied unsupervised learning algorithms and Facets for data visualization.

Columbus, Ohio Area

Student Assistant for department of computer science and engineeringCourse - Foundation I: Discrete Structure (CSE2321).Responsibilities: • Hold office hours answering questions related to the course. • Grade homework.

Student assistant for department of computer science and engineeringCourse - Software II: Software Development and Design (CSE2231). Responsibilities: • Attend labs and hold office hours answering questions related to the course.• Grade homework and projects.

Master'S Degree, Electrical And Computer Engineering, Gpa: 3.972

Thesis: Adversarial Reinforcement Learning for Control System Design: A Deep Reinforcement Learning Approach

Bachelor'S Degree, Electrical And Computer Engineering, Gpa: 3.962

Graduated with Summa Cum Laude Minor in Computer & Information Science (GPA: 4.0)

Physics, Grade: 88/100

Transferred to Ohio State in 2014.