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Raj Veeramani

Raj Veeramani

E-Business Professor
gscholar website

Dr. Raj Veeramani is the E-Business Professor at the University of Wisconsin-Madison with joint appointments in the College of Engineering and the School of Business. He is the founder of the UW E-Business Institute and UW E-Business Consortium, which is Wisconsin’s leading university-industry partnership helping industry gain competitive advantage through digital business strategies and best practices. He is also the founder of the UW Internet of Things (IoT) Systems Research Center, a hub for university-industry partnership focused on research, innovation and collaborative learning of IoT and industrial analytics.

Dr. Veeramani is an internationally recognized scholar, educator and business advisor. His expertise runs deep in several areas: digital business strategy, smart and connected systems, supply chain management, and building customer-centered organizations. His research focuses on new frontiers of digital transformation, industrial data analytics, Industry 4.0, IoT technologies and applications, smart manufacturing, and resilient supply chain management. Dr. Veeramani is recognized for his practical, real-world perspective. His work has embodied active collaboration with leading companies in a variety of industries.

Dr. Veeramani has received numerous awards in recognition of his work. The American Society for Engineering Education chose him to be the inaugural recipient of the Isadore T. Davis Award for Excellence in Collaboration of Engineering Education and Industry. He has also received the Society of Manufacturing Engineers’ Ralph E. Cross Outstanding Young Manufacturing Engineer Award and the Society of Automotive Engineers’ Ralph R. Teetor Educational Award. He is the recipient of Ragnar E. Onstad Service to Society Award conferred by the University of Wisconsin-Madison College of Engineering. Dr. Veeramani’s efforts and contributions to foster university-industry collaboration have also been recognized by five consecutive Wisconsin Governors, namely Tommy Thompson, Scott McCallum, Jim Doyle, Scott Walker and Tony Evers.

Dr. Veeramani received his PhD and MS degrees in Industrial Engineering from Purdue University and his BS degree in Mechanical Engineering from the Indian Institute of Technology, Madras. He joined the faculty of the University of Wisconsin-Madison in 1992.

Department

Industrial & Systems Engineering

Contact

4101, Mechanical Engineering Bldg
1513 University Ave
Madison, WI
p: (608) 262-0861

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  • PhD 1991, Purdue University
  • MS 1987, Purdue University
  • BS 1985, Indian Institute of Technology

  • Industrial data analytics and intelligent decision-making
  • Data science and AI enabled business process improvement and automation
  • Internet of Things (IoT)
  • Smart manufacturing and connected enterprise
  • Supply chain management and optimization
  • E-business technologies and strategies

  • 2020 College of Engineering, E-Business Professorship
  • 2019 College of Engineering, Leaders in Engineering Excellence and Diversity (LEED) Scholars Program award
  • 2018 College of Engineering, Ragnar Onstad Award for Service to Society
  • 2011 American Society for Engineering Education’s (ASEE), Isadore T. Davis Award for Excellence in Collaboration of Engineering Education and Industry
  • 2005 Dept. of Industrial & Systems Engineering, University of Wisconsin-Madison, Robert Ratner Undergraduate Chair Professor of Industrial & Systems Engineering
  • 2000 Governor Tommy Thompson, State of Wisconsin, Recognition for establishment of UW E-Business Consortium
  • 1998 Alpha Pi Mu , Outstanding Undergraduate Industrial Engineering Professor Award
  • 1997 Society of Manufacturing Engineers, Ralph E. Cross Outstanding Young Manufacturing Engineer Award
  • 1997 Society of Automotive Engineers, Ralph R. Teetor Educational Award
  • 1996 Society of Manufacturing Engineers, Research Initiation Award
  • 1994 National Science Foundation , National Science Foundation Research Initiation Award
  • Alpha Pi Mu (Industrial Engineering Honor Society), Member, Alpha Pi Mu
  • Omega Rho (International Operations Research Honor Society), Member, Omega Rho
  • The Honor Society of Phi Kappa Phi, Member, Phi Kappa Phi
  • Sigma Xi, The Scientific Research Society, Member, Sigma Xi
  • Tau Beta Pi (National Engineering Honor Society), Member, Tau Beta Pi
  • West Bengal Board of Secondary Education, Merit Scholar

  • Dubey, V. K., & Veeramani, D. (2024). A decision-making framework for automating distribution centers in the Retail supply. Heliyon, 10(10).
  • Wang, X., Veeramani, D., Dai, F., & Zhu, Z. (2024). Context-aware hand gesture interaction for human--robot collaboration in construction. Computer-Aided Civil and Infrastructure Engineering.
  • Sun, J., Zhou, S., Veeramani, D., & Liu, K. (2024). Prediction of Condition Monitoring Signals Using Scalable Pairwise Gaussian Processes and Bayesian Model Averaging. IEEE Transactions on Automation Science and Engineering.
  • Sun, J., Zhou, S., & Veeramani, D. (2023). A neural network-based control chart for monitoring and interpreting autocorrelated multivariate processes using layer-wise relevance propagation. Quality Engineering, 35(1), 33--47.
  • Bhardwaj, A. S., Veeramani, D., & Zhou, S. (2023). Confidently extracting hierarchical taxonomy information from unstructured maintenance records of industrial equipment. International Journal of Production Research, 61(23), 8159--8178.
  • Wang, X., Veeramani, D., & Zhu, Z. (2023). Gaze-aware hand gesture recognition for intelligent construction. Engineering Applications of Artificial Intelligence, 123, 106179.
  • Bhardwaj, A. S., Veeramani, D., & Zhou, S. (2023). Identifying equipment health status from maintenance records using Lexicon based Unsupervised Sentiment Analysis Adjusted for Negation (LUSAA-N). Computers & Industrial Engineering, 186, 109693.
  • Sun, J., Deep, A., Zhou, S., & Veeramani, D. (2023). Industrial system working condition identification using operation-adjusted hidden Markov model. Journal of Intelligent Manufacturing, 34(6), 2611--2624.
  • Deep, A., Zhou, S., Veeramani, D., & Chen, Y. (2023). Partially observable Markov decision process-based optimal maintenance planning with time-dependent observations. European Journal of Operational Research, 311(2), 533--544.
  • Bennett, S. T., Han, W., Mahmud, D., Adamczyk, P. G., Dai, F., Wehner, M., Veeramani, D., & Zhu, Z. (2023). Usability and biomechanical testing of passive exoskeletons for construction workers: a field-based pilot study. Buildings, 13(3), 822.

  • I SY E 699 - Advanced Independent Study (Spring 2025)
  • I SY E 450 - Industrial Engineering Design II (Fall 2024)
  • I SY E 604 - Special Topics in Manufacturing and Supply Chain Management (Fall 2024)
  • I SY E 699 - Advanced Independent Study (Fall 2024)
  • I SY E 990 - Research and Thesis (Summer 2024)
  • I SY E 990 - Research and Thesis (Spring 2024)
  • I SY E 699 - Advanced Independent Study (Fall 2023)
  • I SY E 990 - Research and Thesis (Fall 2023)
  • I SY E 990 - Research and Thesis (Summer 2023)