Baijian Yang

Baijian Yang

Professor of Computer and Information Technology

Purdue University

Biography

Dr. Yang has a diverse skill set in computing. He was the lead author of two books on Windows Phone Programming and holds a number of industry certifications such as CISSP, MCSE, and Six Sigma Black Belt. Dr. Yang was a board member of the Association of Technology, Management, and Applied Engineering (ATMAE) from 2014-2016. He was a member of IEEE Cybersecurity Initiative Steering Committee and the project lead of IEEE Try-CybSI from 2015 to 2017. He is currently serving as a Senior Faculty Fellow of Purdue Polytechnic Research Impact Areas and he is a University Faculty Scholar at Purdue University.

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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

 
 
 
 
 
Professor
Purdue University
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 2021, Spring 2021, Fall 2020, Spring 2020, Spring 2019, Spring 2017
Advanced Network Security
Spring 2021, Spring 2020, Spring 2019, Spring 2018, Spring 2017, Spring 2016, Spring 2015
Unix Administration
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

Principal Investigators

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Baijian Yang

Purdue University

Associate Professor of Computer and Information Technology

Applied Machine Learning, Big Data, Cybersecurity

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Tonglin Zhang

Purdue University

Associate Professor of Statistics

Big Data., Spatial Epidemiology., Geostatistics for large data.

Grad Students

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Diego Miguel Mendez mena

Purdue University

Ph.D. Student

Cybersecurity, IoT, Blockchain, STEM fostering

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Hanlin Chen

Purdue University

Ph.D. Student

Connected and Automated Vehicle (CAV), Robotics

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Huyunting Huang

Purdue University

Ph.D. Student

Big Data, Dimension Reduction, Tensor Approach, Machine Learning

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Nanxin Jin

Purdue University

Ph.D. Student

Applied Machine Learning, Computer Vision, Assistive Technology

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Weitao Tang

Purdue University

Ph.D. Student

Computer Vision, Representation Learning, Automatic Inspection

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Xiang Liu

Purdue University

Ph.D. Student

Big Data, Tensor Decomposition, Machine Learning / Deep Learning

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Youlim Ko

Purdue University

MS Student

Big Data, Machine Learning, Natural Language Processing

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Zhaorui Liu

Purdue University

M.S. Student

Big Data, Machine Learning

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Ziyang Tang

Purdue University

Ph.D. Student

Deep Learning, Bioinformatics, Computer Vision

Recent Publications

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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