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MACC Researchers
Mahir Jalanko Mahir Jalanko
Ph.D. Candidate
Supervised by Dr. Vlad Mahalec and Dr. Prashant Mhaskar

Start date
May 2016

Email
jalankmd@mcmaster.ca

Education
Bachelor's, Chemical Engineering and Management, McMaster University (2016)

Topics
Machine Learning
Optimal Planning and Scheduling

Research Objectives
Optimal Planning and Scheduling Under Uncertainty
Investigate the use of machine learning algorithms in modeling and control of distillation column

MACC Publications

  • Jalanko, M.Mahalec, V. Gasoline Blend Planning under Demand Uncertainty: Aggregate Supply–Demand Pinch Algorithm with Rolling Horizon, Industrial & Engineering Chemistry Research,, 59 (1) 281-298 (2019) [ Publisher Version ]
  • Jalanko, M.Mahalec, V. Inventory Pinch Based Algorithm for Gasoline Blend Planning with Uncertainty in Components Qualities, Computer Aided Chemical Engineering,, 44 1525-1530 (2018) [ Publisher Version ]
  • Jalanko, M.Mahalec, V. Supply-demand pinch based methodology for multi-period planning under uncertainty in components qualities with application to gasoline blend planning, Computers & Chemical Engineering,, 119 425-438 (2018) [ Publisher Version ]
  • Jalanko, M.Mahalec, V. Supply-Demand Based Algorithm for Gasoline Blend Planning Under Time-Varying Uncertainty in Demand, International Conference on Applied Physics, System Science and Computers,, 183-189 (2018) [ Publisher Version ]
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