Portrait of

Yezhou Yang

Asst Professor, School of Computing and Augmented Intelligence

Total mentored projects: 9

Yezhou Yang, an assistant professor in computer science and engineering in the School of Computing, Informatics, and Decision System Engineering at Arizona State University. Yang’s research interests also include computer vision, autonomous intelligent robots and artificial intelligence.

iSearch

Fall 2021

Wei Wang

Engineering (electrical systems)

Automated Traffic Incident Detection and Driver Behavior Analysis

Using advanced computer vision algorithms and artificial intelligence to develop methods of road safety analysis with roadside traffic monitoring videos will improve road safety. intelligence.

Program: FURI

Summer 2021

Wei Wang

Engineering (electrical systems)

Automated Traffic Incident Detection and Driver Behavior Analysis

Using advanced computer vision algorithms and artificial intelligence to develop methods of road safety analysis with roadside traffic monitoring videos will improve road safety. intelligence.

Program: FURI

Spring 2021

Wei Wang

Engineering (electrical systems)

Traffic Analysis with Drone Videos

Developing a system for traffic analysis with drone videos and advanced computer vision will improve traffic monitoring.

Program: FURI

Sumedh Godbole

Computer science

Online Prediction for Vision-based Active Pursuit using a Domain Agnostic Offline Motion Model

Emulating the function of vision-related neurons in predators can enhance the ability of autonomous vehicles to navigate in rapidly changing environments.

Program: MORE

Prasanth Buddareddygari

Computer science

Adversarial Attacks on Autonomous Driving with Physically Realizable Patterns

Studying the behaviors of autonomous driving systems when encountering adversarial physical objects will help improve robustness and security.

Program: MORE

Clinton Major Brown

Computer science

Developing Robust Defenses for Deep Neural Networks

Developing defenses for machine learning algorithms in computer vision will keep people safe from manipulative attacks.

Program: FURI

Summer 2020

Mertay Dayanc

Computer science

Real Time Multimodal Classification for Social Media Notifications

Designing a model that can take either an image, text or both will help classify social media message into different categories in real time.

Program: FURI

Spring 2019

Shibin Zheng

Computer engineering

Active Binocular Vergence-Gaze Control for Visual SLAM

Enabling an active binocular system will help improve the mapping and navigation performance of a robot.

Program: MORE

Anshul Rai

Computer engineering

General Depth Estimation For Machine Vision Using Sparse Depths

Designing a depth estimation algorithm for single-camera systems will improve depth prediction performance.

Program: MORE

FURI Totals

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