معرفی
Danielle Zyngier serves as an Adjunct Assistant Professor in the Department of Chemical Engineering within the Faculty of Engineering at McMaster University. Her academic role focuses on research and teaching in process systems engineering, optimization, and control systems with industrial applications.
Her research spans Chemical Engineering (54.8% of activity), Optimization Theory (18.2%), and Control Systems (9.4%). She specializes in uncertainty management for scheduling problems, sensor network design, and hybrid monitoring systems. Key application areas include cascaded hydropower systems considering electricity price variations, rail logistics, wastewater treatment processes, and offshore compression systems in oil and gas operations.
Analysis of her 15 most recent publications reveals consistent focus on robust optimization frameworks for industrial processes under uncertainty. Her work bridges theoretical advancements in MILP formulations and real-time scheduling with practical implementations in energy, transportation, and environmental systems. Recent contributions (2017-2021) emphasize online scheduling for hydropower systems, while earlier work established foundations in sensor networks and soft sensors.
No doctoral or master's students are listed in available records. The VIVO database indicates no currently loaded research grants, though co-author networks show established collaborations with Thomas Marlin (4 publications) and Christopher L.E. Swartz (3 publications).
