Tomas Velasco's headshot

Tomas Velasco

Director, Professor
velasco@siu.edu
618-453-7842
Engineering D109
Industrial Management and Applied Engineering, Quality Engineering and Management

Dr. Tomas Velasco joined the School of Applied Engineering and Technology as an Assistant Professor. He earned his professional degree (B.S. & M.S.) in Industrial Engineering from Pontificia Universidad Javeriana, followed by both an M.S. in Manufacturing and an M.B.A. from Pittsburg State University, and a Ph.D. in Industrial Engineering from the University of Arkansas.

He has served as a visiting professor at Deggendorf Institute of Technology in Deggendorf, Germany and at Universidad Carlos III in Madrid, Spain. In addition to his academic work, he is a consultant in the areas of quality, continuous improvement, and reliability. His research interests include these fields as well as the application of artificial intelligence to manufacturing problems.

Dr. Velasco is the Director of the School of Applied Engineering and Technology, and he is also the Director of Graduate Studies.

Education

  • Professional Degree, Industrial Engineering: Pontificia Universidad Javeriana, Bogotá, Colombia (1984)
  • M.S., Manufacturing: Pittsburg State University (1985)
  • M.B.A: Pittsburg State University (1987)
  • Ph.D., Industrial Engineering: University of Arkansas (1991)

Research Interests:

  • Quality assurance
  • Reliability
  • Continuous improvement methodologies
  • Artificial intelligence applications in manufacturing environments

Courses

  • QEM 525
  • QEM 540

Awards and Honors:

  • Vice-Chair of the Graduate Council of the University, Southern Illinois University Carbondale. (2023-2024).
  • Outstanding Teacher Award, School of Applied Engineering and Technology, Southern Illinois University Carbondale. (2023)
  • Vice-Chair of the Graduate Council of the University, Southern Illinois University Carbondale. (2022-2023).
  • Outstanding Teacher Award, School of Applied Engineering and Technology, Southern Illinois University Carbondale. (2020).
  • Outstanding Teacher Award, School of Applied Engineering and Technology, Southern Illinois University Carbondale. (2018).
  • Chair of the Graduate Council of the University, Southern Illinois University Carbondale. (2017-2018).
  • Outstanding Teacher Award, School of Applied Engineering and Technology, Southern Illinois University Carbondale. (2017).
  • Chair of the Graduate Council of the University, Southern Illinois University Carbondale. (2016-2017).
  • Outstanding Teacher Award, School of Applied Engineering and Technology, Southern Illinois University Carbondale. (2013).
  • Faculty Summer Institute Fellowship, University of Illinois, Urbana-Champaign, Illinois. (2011)
  • Senior Member, ASQ (American Society for Quality), Milwaukee, Wisconsin. (2009).
  • The Boeing Company Welliver Faculty Fellowship, The Boing Company, Chicago, Illinois. (2007).
  • Outstanding Teacher Award, School of Applied Engineering and Technology, Southern Illinois University Carbondale. (2006).
  • Outstanding Teacher Award, School of Applied Engineering and Technology, Southern Illinois University Carbondale. (2005).
  • Outstanding Teacher Award, School of Applied Engineering and Technology, Southern Illinois University Carbondale. (2003).
  • Outstanding Teacher Award, School of Applied Engineering and Technology, Southern Illinois University Carbondale. (2002).

Selected Publications and Creative Works:

Book Chapters - Technical Papers

  • Velasco, T. & Martin, D. (1995). Performance Analysis of Artificial Neural Networks in Pre-Control and Control Situations for Process Monitoring, Technical Papers in Neural Networks; OAINN (Ohio Aerospace Institute Neural Network), August 1995, pp. 151-158.
  • Velasco, T. (1992). Intelligent Analysis of Failure Data with Explanatory Variables in the Design of a Manufacturing Environment. Technical Papers of the International Federation of Automatic Control: Pergamon Press, August 1992; p. 370-378.

Articles in Professional Journals

  • Alsenani, Y., Crosby, G., Ahmed, K. R., & Velasco, T. (2020). ProTrust: A Probabilistic Trust Framework for Volunteer Cloud Computing. IEEE Access.
  • Phongkusolchit, K. & Velasco, T. (2010). Development of Expert System for Gem Identification, International Handbook of Academic Research and Teaching, Volume 7, 2010, pp 163 – 177.
  • Phongkusolchit, K. & Velasco, T. (2008). Development of an Expert System for Gem Identification, Journal of Applied Global Research (JAGR): Intellectbase International Consortium: Nashville, TN, Volume 2, Issue 4.
  • Perry, M., Spoerre, J., & Velasco, T. (2001). Control Chart Pattern Recognition Using A.N.N., International Journal of Production Research (I.J.P.R.); Taylor & Francis Group: London, UK, October 2001, Volume 39, No. 15, pp. 3339-3418.
  • Stich, T., Spoerre, J., & Velasco, T. (1999). The Application of Artificial Neural Networks to Monitoring and Control of an Induction Hardening Process, Journal of Industrial Technology, N.A.I.T.; Volume 16-1, 1999.
  • DeRuntz, B. & Velasco, T. (1997). Simulation Analysis of Pre-Control and Quality Control Situations in Manufacturing Environments, Journal of Mathematical Modeling and Scientific Computing; Volume 8, 1997.
  • Velasco, T. & Morgan, C. (1997). Computational Methods in Automated Computer-Aided Inspection Using Intelligent Adaptive Control, Journal of Mathematical Modeling and Scientific Computing; Volume 8, 1997.
  • Hooks, K., Rabelo, L., & Velasco, T. (1995). An Expert System Framework for a CIM Based Quality Inspection System, International Journal of Computers & Industrial Engineering, Pergamon Press, Vol. 29, n. 1-4; September 1995; p. 159-163.
  • Thomas, G. & Velasco, T. (1995). Using Real-Coded Genetic Algorithms for Weibull Parameter Estimation, International Journal of Computers & Industrial Engineering, Pergamon Press, Vol. 29, n. 1-4; September 1995, p. 377-382.
  • Thomas, G., Gerth, R., & Velasco, T. (1994). Weibull Parameter Estimation Using Genetic Algorithms, Computers & Industrial Engineering: An International Journal, Pergamon Press, Vol.27, October 1994.
  • Hooks, K., Rabelo, L., & Velasco, T. (1993). Enhancing Computer-Aided Inspection Through the Integration of Quality Control and Computer-Aided Design, Computers & Industrial Engineering: An International Journal, Pergamon Press, Vol. 25, September 1993, p. 511-514.
  • Toure, S., Rabelo, L., & Velasco, T. (1993). Artificial Neural Networks for Flexible Manufacturing Systems Scheduling, Computers & Industrial Engineering: An International Journal, Pergamon Press; Vol.25; September 1993; p. 385-388.
  • Nadeem, M. & Velasco, T. (1993). Knowledge-Based Approach to Quality Control Assurance Using Bar-Code Identification Systems, Computers & Industrial Engineering: An International Journal, New York: Pergamon Press; Vol.25; September 1993; p. 41-44.
  • Quiroga, L. & Velasco, T. (1993). Application of Reliability Concepts in Automatic Identification, Computers & Industrial Engineering: An International Journal, New York: Pergamon Press; Vol.25; September 1993; p. 465-468.
  • Velasco, T. & Rowe, M. (1993). Back Propagation Artificial Neural Networks for the Analysis of Quality Control Charts, Computers & Industrial Engineering: An International Journal, New York: Pergamon Press; Vol.25; September 1993; p. 397-400.

Peer-Reviewed Conference Papers

  • Alsenani, Y., Crosby, G., Ahmed, K. R., & Velasco, T. (2020). Towards Multicriteria Volunteer Cloud Service Selection, 2020 International Conference on Cloud Computing, September 18 - 20, 2020. Springer.
  • Alsenani, Y., Crosby, G., Velasco, T., & Alahmdi, A. (2018). ReMot: Reputation and Resource-Based Model to Estimate the Reliability of the Host Machines in Volunteer Cloud Environment, IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud), IEEE, 2018.
  • Alsenani, Y., Crosby, G., & Velasco, T. (2018). Sara: A Stochastic Model to Estimate Reliability of Edge Resources in Volunteer Cloud, IEEE International Conference on Edge Computing (EDGE). IEEE, 2018.
  • Velasco, T. (2012). Lean Approach: Value Stream Maps Used to Reduce Customer Waiting Time, 2012 ASQ Service Quality Conference; Baltimore, Maryland, October 2012.
  • Velasco, T. (2012). Tutorial: How to Use Basic Design of Experiments to Improve Customer Service, 2012 ASQ Service Quality Conference; Baltimore, Maryland, October 2012.
  • Velasco, T. & Krishnan, R. (2001). Artificial Neural Networks Applied to Quality Function Deployment, Informs 2001: Operations Research Society of America (ORSA) and The Institute of Management Sciences (TIMS); Miami Beach, Florida, November 2001.
  • Velasco, T. (1998). Comparison Design of Experiment Methods: An Analysis Process Troubleshooting to Improve Quality Performance in the Manufacturing Industry, American Society for Engineering Education IL/IN Sectional Conference; Carbondale, Illinois; May 1998.
  • Velasco, T. & Setiawan, R. (1998). Comparative Analysis of Taguchi’s Method, Shainin’s Variable Search Method, & Classical Fractional Factorial Design of Experiments. CORS / INFORMS Conference; Montreal, Canada; April 1998.
  • Velasco, T. (1995). Intelligent vs. Experimental techniques for Designing Robust Systems for a Manufacturing Process, INFORMS: The Institute for Operations Research and the Management Sciences; New Orleans, Louisiana; October 1995.
  • Velasco, T. & Landers, T. (1995). Intelligent Approach to Reliability Analysis Under Weibull Proportional Hazards, INFORMS: The Institute for Operations Research and the Management Sciences; New Orleans, Louisiana; October 1995.
  • Velasco, T., Thomas, G., & Gerth, R. (1995). Real-Coded Genetic Algorithms for Weibull Parameter Estimation, INFORMS: The Institute for Operations Research and the Management Sciences; New Orleans, Louisiana; October 1995.
  • Velasco, T. & Thomas, G. (1994). A Genetic Algorithm Based Approach to Optimize Parameter Estimation for Reliability Analysis of Multi-component Systems, Proceedings of Operations Research Society of America & The Institute of Management Sciences Joint National Meeting; Chicago, Illinois; October 1994.
  • Velasco, T. (1994). Intelligent Computer Aided Inspection in a Computer Integrated Manufacturing Environment, Seventh International Symposium on Artificial Intelligence; Monterey Institute of Technology: Monterey, November, 1994
  • Velasco, T.; Sahinoglu, M.; & Rowe, M. (1993). Artificial Neural Networks Approach Using ART1, Back-Propagation and Kohonen Algorithms for Quality Control Charts Analysis, XV Annual Conference on Computers and Industrial Engineering; Cocoa Beach, Florida; March 1993.
  • Velasco, T. (1993). Intelligent Quality Control in a Computer Integrated Manufacturing Environment, Sixth International Symposium on Artificial Intelligence; Monterey, Mexico, September 20-24, 1993.

Peer-Reviewed Proceedings

  • Velasco, T.; Krishnan, R.; & Sun, K. (1998). Artificial Intelligence Applied to Quality Function Deployment. Proceedings for N.A.I.T. 98; National Association for Industrial Technology; October 1998; pp. 180-184.
  • Gulley, W. & Velasco, T. (1996). Analysis and Modeling of the Impact of ISO 9000 on Small and Medium Size Manufacturing Companies, Proceedings for V IIE Research Conference, Institute of Industrial Engineers: Minneapolis, Minnesota; May 1996; pp. 557-561.
  • Richmond, D. & Velasco, T. (1996). A Strategy for Integration of Automation Control Functions, Proceedings for V IIE Research Conference, Institute of Industrial Engineers: Minneapolis, Minnesota; May 1996; pp. 812-817.
  • Shelby, J. M. & Velasco, T. (1996). A Protocol for Parallel Communication Between Dissimilar Controllers Using Discrete I/O: Software Implementation, Proceedings for V IIE Research Conference, Institute of Industrial Engineers: Minneapolis, Minnesota; May 1996; pp. 809-811.
  • Velasco, T. (1993). Interfacing Process Quality Control and CIM Through the Application of Artificial Neural Networks, Proceedings for II IIE Research Conference, Institute of Industrial Engineers: Los Angeles, California; May 1993, p. 280-284.
  • Velasco, T. & Nadeem, M. (1993). Integration of Automatic Identification in a Statistical Quality control Expert System, Proceedings for II IIE Research Conference, Institute of Industrial Engineers: Los Angeles, California; May 1993, p. 689-693.
  • Velasco, T. & Quiroga, L. (1993). Reliability Testing in Bar-Code Symbologies: A Question of Time?, Proceedings for II IIE Research Conference, Institute of Industrial Engineers: Los Angeles, California; May 1993, p. 255-259.
  • Velasco, T. (1993). Interfacing Process Quality Control and CIM through the Application of Artificial Neural Networks, Proceedings for II IIE Research Conference, Institute of Industrial Engineers: Los Angeles, California; May 1993, p. 280-284.