Shuo Yu

虞说

Assistant Professor at Texas Tech University
 in Information Systems and Quantitative Sciences

My research interests lie in business analytics and data science, specifically mobile health analytics and data/text mining in cybersecurity, e-commerce, and social media.

Get My CV Dissertation About My Research

Research Articles, Published, Forthcoming, and Under Review

Hidden Markov Model-Based Fall Detection with Motion Sensor Orientation Calibration: A Case for Real-Life Home Monitoring

Shuo Yu, Hsinchun Chen, Randall A. Brown
Forthcoming at IEEE Journal of Biomedical and Health Informatics (JBHI) (IF: 3.451)

Risk Prediction for Mobile Health: A Deep Learning Approach

Shuo Yu, Hsinchun Chen, Randall A. Brown, Scott J. Sherman
Revise and Resubmit at Information Systems Research (ISR)

Identifying Supervisory Control and Data Acquisition (SCADA) Devices and their Vulnerabilities on the Internet of Things (IoT): A Text Mining Approach

Sagar Samtani, Shuo Yu, Hongyi Zhu, Mark Patton, John Matherly, Hsinchun Chen
IEEE Intelligent Systems (IS), 33(2), 63-73 (IF: 2.374)

Fear Appeals and Information Security Behaviors: An Empirical Study on Mechanical Turk

Sagar Samtani, Shuo Yu, Hongyi Zhu
Forthcoming at AIS Transactions on Replication Research (TRR)

Emoticon Analysis for Chinese Social Media and E-commerce: The AZEmo System

Shuo Yu, Hongyi Zhu, Shan Jiang, Yong Zhang, Chunxiao Xing, Hsinchun Chen
Second-Round Review at ACM Transactions on Management Information Systems (TMIS)

My Teaching Philosophy aligns with the following three layers.

1. Master the facts and principles in MIS

2. Develop critical thinking skills

3. Apply in real business contexts

A full PDF document of my teaching philosophy can be found here.

Teaching Practice

Sample Syllabus

PDF: Link

Sample Slides

PDF: Link

Evidence of Teaching Effectiveness

4.32 / 5.00

Teacher-Course Evaluation

Full TCE Document: Link

"You know how to take a student’s point of view and structure the content in a way most conducive to their learning."

Observation Letter from a Content Expert

Full Letter: Link

"An amazing job guiding your students through a topic that is highly relevant in their personal and professional lives."

Observation Letter from a Peer

Full Letter: Link

Selected Comments from Students

"Shuo was concise and is knowledgeable about the subject matter. I was impressed by his experience (through prior labs and jobs) with information technology. That was shown through his teaching." -- MIS 111, Summer 2017

"The instructor was very prompt and always willing to explain or answer questions from the students. The broad range of subject matter that was discussed daily was refreshing." -- MIS 111, Summer 2017

"Being creative in creating newsletters that I get to share with my colleagues on a weekly basis. The course learning through assignments and exams was really productive." -- MIS 111, Summer 2017

"Direct and to the point. After just about all of the news reports we have to do in class, he offered his insight and knowledge on the subject. He is very knowledgeable of the multitude of subject matters that were discussed." -- MIS 111, Summer 2017

"I especially liked how fluent and outlined from A-B this course was, which was awesome and more than helpful in such a setting." -- MIS 111, Summer 2017

Contact me via the following links:

University of Arizona Artificial Intellligence Lab