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MACC Researchers
Mudassir Rashid Mudassir Rashid
Ph.D. recipient
Supervised by Dr. Prashant Mhaskar and Dr. Chris Swartz

Start date
September 2011

Email
rashidmm@mcmaster.ca

Education
B.Eng., Chemical Engineering, McMaster University, Hamilton, Ontario, Canada.

Topics
Optimization and Control of Batch Process Systems using Data-Driven Models

Research Title
Data-driven models in batch process optimization and control

MACC Publications

  • Rashid, M.Mhaskar, P.Swartz, C. L. E. Handling multi-rate and missing data in variable duration economic model predictive control of batch processes, AIChE J, (2017) [ Publisher Version ]
  • Rashid, M.Mhaskar, P.Swartz, C. L. E. Multi-rate modeling and economic model predictive control of the electric arc furnace, J Process Control,, 40 50-61 (2016) [ Publisher Version ]
  • Jie Yu, Rashid, M. A novel dynamic bayesian network based networked process monitoring approach for fault detection, propagation identification and root cause diagnosis, AIChE J,, 59 (7) 2348-2365 (2013) [ Publisher Version ]
  • Yu, Jie, Chen, K.Rashid, M. A Bayesian model averaging based multi-kernel Gaussian process regression framework for nonlinear state estimation and quality prediction of multiphase batch processes with transient dynamics and uncertainty, Chemical Engineering Science,, 93 (19) 96-109 (2013) [ Publisher Version ]
  • Chen, J., Yu, Jie, Mori, J.Rashid, M., Hu, G., Yu, H., Flores-Cerrillo, J., Megan, L. A non-Gaussian pattern matching based dynamic process monitoring approach and its application to cryogenic air separation process, Computers & Chemical Engineering,, 58 (11) 40-53 (2013) [ Publisher Version ]
  • Yu, Jie, Chen, K.Rashid, M. A Gaussian mixture copula model based localized Gaussian process regression approach for long-term wind speed prediction, Energy,, 61 (1) 673-686 (2013) [ Publisher Version ]
  • Rashid, M., Jie Yu A Novel Dissimilarity Method by Integrating Multivariate Mutual Information and Independent Component Analysis for Non-Gaussian Dynamic Process Monitoring, Chemometrics Intell. Lab. Syst.,, 115 44-58 (2012) [ Publisher Version ]
  • Rashid, M., Jie Yu Hidden Markov Model Based Adaptive Independent Component Analysis for Chemical Process Monitoring, Ind. Eng. Chem. Res.,, 51 (15) 5506-5514 (2012)
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