Baijian Yang

Baijian Yang

Associate Dean for Research and Professor of Computer and Information Technology

Purdue University

Biography

Dr. Baijian “Justin” Yang is the Associate Dean for Research at Purdue Polytechnic Institute and 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 and holds both an M.S. and B.S. in Automation (EECS) from Tsinghua University. With a broad expertise in computer and information technology, Dr. Yang has authored over 100 peer-reviewed publications. His recent research focuses on applied machine learning, big data, and cybersecurity. He has also contributed to the field through leadership roles, serving as a board member for the Association of Technology, Management, and Applied Engineering (ATMAE) from 2014 to 2016 and as a member of the IEEE Cybersecurity Initiative Steering Committee from 2015 to 2017. Beyond academia, Dr. Yang holds several industry certifications, including CISSP, MCSE, and Six Sigma Black Belt. He has also authored two books on Windows Phone programming. Download my resumé.

Interests
  • Applied Machine Learning
  • Big Data
  • Cybersecurity
Education
  • PhD in Computer Science, 2002

    Michigan State University

  • MS in Automation (EECS), 1998

    Tsinghua University

  • BS in Automation (EECS), 1995

    Tsinghua University

Experience

 
 
 
 
 
Associate Dean for Research
Oct 2023 – Present West Lafayette, IN 47907
 
 
 
 
 
Professor
Aug 2021 – Present West Lafayette, IN 47907
 
 
 
 
 
Associate Professor
Purdue University
Aug 2012 – Aug 2021 West Lafayette, IN 47907
 
 
 
 
 
Assistant Professor, Assoicate Professor
Ball State University
Aug 2003 – Jul 2012 Munice, IN, 47306

Courses Taught

Big Data Machine Learning
Fall 2023, Spring 2023, Fall 2022, Spring 2022, Fall 2021, Spring 2021, Fall 2020, Spring 2020, Spring 2019, Spring 2017
Advanced Network Security
Fall 2024,Spring 2023, Spring 2022 Spring 2021, Spring 2020, Spring 2019, Spring 2018, Spring 2017, Spring 2016, Spring 2015
Unix Administration
Fall 2023, Fall 2022, Fall 2021, Fall 2020
Network Engineering Fundamental
Spring 2019, Fall 2018, Fall 2017
Introduction to Cryptography
Fall 2018, Fall 2017
Data Communication and Networking
Fall 2019, Spring 2018, Spring 2017, Fall 2015, Fall 2014, Spring 2014, Fall 2013, Spring 2013, Fall 2012
Sever Administration
Fall 2016, Spring 2016, Fall 2015, Spring 2015, Fall 2014, Spring 2014, Fall 2013, Spring 2013, Fall 2012

Grad Students

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Athreyan Mohana Krishnan Sangeetha

Purdue University

M.S. Student

Big Data, Machine Learning, Large Language Models, Explainable AI

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Boxiang Zhang

Purdue University

Ph.D. Student

Machine Learning, Computer Vision, Multi-Modal Modeling

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Chenxi Xiong

Purdue University

Ph.D. Student

Large Language models, Biomedical Informatics, Applied Machine Learning, Big data

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Huayu Tang

Purdue University

Ph.D. Student

Machine Learning, Data Integration, Bioinformatics

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Huyunting Huang

Purdue University

Ph.D. Student

Big Data, Dimension Reduction, Tensor Approach, Machine Learning

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Jinjin Cai

Purdue University

Ph.D. Student

Human-Centric AI, Clinical Predictive Modeling, Medical Representation Learning

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Mohan Chi

Purdue University

Ph.D. Student

Applied Large Language Model, Applied Machine Learning, Human AI Interaction

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Nanxin Jin

Purdue University

Ph.D. Student

Applied Machine Learning, Computer Vision, Assistive Technology

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Zhenyu Wan

Purdue University

Ph.D. Student

Information Technology Education, Large Data Analysis

Alumni

Diego Miguel Mendez mena

Ph.D. 2022

Hanlin Chen

Ph.D. 2023

Weitao Tang

Ph.D. 2024

Xiang Liu

Ph.D. 2022

Youlim Ko

MS 2023

Zhaorui Liu

M.S. 2023

Ziyang Tang

Ph.D. 2023

Recent Publications

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(2025). Cognitive Load-Based Affective Workload Allocation for Multihuman Multirobot Teams. IEEE Transactions on Human-Machine Systems.

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(2025). Temperate forest tree species classification with winter UAV images. Remote Sensing Applications: Society and Environment.

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(2024). Unsupervised Machine Learning for Detecting and Locating Human-Made Objects in 3D Point Cloud. 2024 IEEE BigData.

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(2021). Anomaly detection of core failures in die casting X-ray inspection images using a convolutional autoencoder. Machine Vision and Applications.

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(2020). High-Order Orthogonal Decomposition for Tensors. 2020 Smartcom.

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(2020). Accounting for Factor Variables in Big Data Regression. Statistica Sinica.

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(2020). Low-Rank Sparse Tensor Approximations for Large High-Resolution Videos. 2020 IEEE ICMLA.

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(2020). Regression PCA for Moving Objects Separation. 2020 IEEE GlobeCom.

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(2020). CHEESE: Cyber Human Ecosystem of Engaged Security Education. 2020 IEEE Frontiers in Education.

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(2020). Deep Learning Based Wildfire Event Object Detection from 4K Aerial Images Acquired by UAS. AI journal.

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(2019). Sparse Block Regression (SBR) for Big Data with Categorical Variables. 2019 IEEE Big Data.

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(2019). Predicting Network Attacks with CNN by Constructing Images from NetFlow Data. 2019 IEEE BigDataSecurity.

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(0001). A Triangulation-Based Visual Localization for Field Robots. IEEE/CAA Journal of Automatica Sinica.

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Contact

  • byang AT purdue.edu
  • 1-765-496-7143
  • 401 N. Grant Street, West Lafayette, IN 47907
  • Tuesdays 10:30 to 12:30
    Thursdays 10:30 to 11:00 then 12:30 to 14:00
  • Book an appointment