Wenbin Guo is a Postdoc Associate at University of Florida. He collaborates with an interdisciplinary team to automate analysis and annotation of human motion using artificial intelligence. He builds and runs deep learning algorithms on existing human datasets of video and skeletal sequences. He received his Ph.D. in Industrial Engineering along with a Master of Computer Science at the University of Missouri. As an independent researcher, much of his focus has been on AR/VR, human-computer interaction, healthcare, and machine learning. He developed an advanced location-based augmented reality learning environment. He was motivated to improve personnel performance in the healthcare system. He also developed a serverless conversational survey platform AI chatbot helping non-technical persons to build and deploy customized surveys using conversations.
2014 - 2016•Master of Science in Industrial & Manufacturing Systems Engineering
Thesis: Comparing pointing performance of mouse and eye-gaze input system
Zhejiang Sci-Tech University
2010 - 2014•Bacholar of Engineering in Industrial Engineering
March 2021 - Present•University of Florida
Collaborate with an interdisciplinary team to automate analysis and annotation of human motion using artificial intelligence
Build and run deep learning algorithms on existing human datasets of video and skeletal sequences
August 2015 - December 2020•University of Missouri
Predict the patterns of nurses in the intensive care unit (ICU) department
Using metacognition to improve student learning performance in a real-time location-based augmented reality (AR) environment serve as Ph.D. dissertation
Detecting distracted driving using eye tracking technology
Conducted experiments and statistical analysis related to human-computer interaction to serve as the topic of master’s thesis
January 2015 - December 2020•University of Missouri
Assisted Professor Luis Occena with lectures on IMSE 2710 Engineering Economy more than 80 undergraduate students
Assisted Professor Mingming Qiu in two undergraduate courses (FINANCE 4010 Financial Management, FINANCE 4500 Principle of Real Estate) more than 60 students and one graduate course (FINANCE 8310 Financial Databases and Analysis) with 12 graduate students
Assisted Professor Luis Occena with lectures on IMSE 2710 Engineering Economy and IMSE 4410/7410 Management Information Systems Design
Assisted Professor Bin Wu with lectures on IMSE 2030 Fundamentals of Systems Design and Analysis more than 70 students varying from freshmen to seniors
TigerAware Chatbot: A serverless conversational survey platform. It can be deployed in the mobile and smart speaker, supports text and voice based conversational survey, understands user diverse input with natural language processing and provides question visualization for users. It is being tested in real-world studies, and it shows the potential to collect high-quality survey data from the users.
The mobile app is called Image-Master, which can help us to detect face emotion and image contents. Our goal is to use this app to teach children and help them understand the face emotion to improve their communication and words knowledge.