معرفی
Dr. Baijian "Justin" Yang serves as the Associate Dean for Research at Purdue Polytechnic Institute and is a Professor in the Department of Computer and Information Technology at Purdue University. He earned his Ph.D. in Computer Science from Michigan State University, with Master's and Bachelor's degrees in Automation (EECS) from Tsinghua University. Dr. Yang has established himself as a leader in multiple interdisciplinary research domains.
Dr. Yang's educational background includes:
- PhD in Computer Science, Michigan State University (2002)
- MS in Automation (EECS), Tsinghua University (1998)
- BS in Automation (EECS), Tsinghua University (1995)
His research interests span multiple cutting-edge domains with practical applications:
- Cybersecurity: Developing novel approaches for threat intelligence, security education, and network defense
- Big Data: Creating innovative algorithms for dimension reduction, regression with categorical variables, and tensor decomposition
- Applied Machine Learning: Implementing AI solutions in healthcare, manufacturing, and forestry applications
- Digital Forestry: Using UAV imagery and remote sensing for forest management and tree species classification
Dr. Yang's publication record demonstrates significant impact across multiple disciplines, with recent work focusing on spatial transcriptomics analysis (SiGra), delirium detection using limited-lead EEG, and visual localization technologies. His research bridges theoretical advances with practical applications in healthcare, manufacturing quality control, and environmental monitoring. The interdisciplinary nature of his work is evident in collaborations spanning computer science, healthcare, forestry, and manufacturing domains.
His scientific achievements have been recognized with numerous awards:
- 2023 HRSA Building Bridges to Better Health Competition Winner (Phase 1) and 2nd place ($100,000 prize) in Phase 3
- 2023 Outstanding Faculty Award in Engagement, Department of Computer and Information Technology, Purdue University
- 2021 Leadership in Manufacturing Award, Manufacturing Times Digital (MxD)
- 2021 Good to Great Award, Purdue Polytechnic
- 2020 Outstanding Faculty Award in Discovery, Department of Computer and Information Technology
- 2019 University Faculty Scholars, Purdue University
As an educator and mentor, Dr. Yang has advised numerous graduate students through their PhD and Master's research. His leadership extends to significant service roles including serving as Faculty Champion for the Holistic Safety and Security research impact area at Purdue Polytechnic from 2018 to 2021, board membership with ATMAE (2014-2016), and participation in the IEEE Cybersecurity Initiative Steering Committee (2015-2017). He holds valuable industry certifications including CISSP, MCSE, and Six Sigma Black Belt, demonstrating his commitment to bridging academic research with industry practice.
Dr. Yang leads multiple research projects including "Digital Forestry" for developing tools to quantify forest function, "CHEESE" (Cyber Human Ecosystem of Engaged Security Education), and "CICI" (Supporting Controlled Unclassified Information with a Campus Awareness and Risk Management Framework). His work on "Applied Machine Learning" focuses on solving real-world problems, while his "Dimension Reduction and Memory Amnestic Big Data Regression" project innovates computational algorithms for large-scale data analysis.
