What is she best known for?
The fields of study she is best known for:
- Endocrinology
- Mathematical optimization
- Statistics
Marianthi G. Ierapetritou mainly focuses on Mathematical optimization, Scheduling, Stochastic programming, Pharmaceutical manufacturing and Optimization problem.
Her research in Mathematical optimization intersects with topics in Algorithm, Mathematical model and Dynamic priority scheduling.
Her Scheduling study incorporates themes from Representation, Rate-monotonic scheduling, Fair-share scheduling, Linear programming and Refinery.
Her Stochastic programming study combines topics in areas such as Probability distribution, Discretization, Sensitivity analysis, Probabilistic-based design optimization and Process.
Her Pharmaceutical manufacturing study combines topics from a wide range of disciplines, such as Control system, Process modeling, Critical quality attributes, Control engineering and Process engineering.
Her biological study spans a wide range of topics, including Current, Series, Applied mathematics and Relaxation.
Her most cited work include:
- Computers and Chemical Engineering (1028 citations)
- Effective Continuous-Time Formulation for Short-Term Scheduling. 1. Multipurpose Batch Processes (408 citations)
- Process scheduling under uncertainty: Review and challenges (273 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of investigation include Mathematical optimization, Scheduling, Pharmaceutical manufacturing, Process engineering and Process.
Her research on Mathematical optimization frequently links to adjacent areas such as Kriging.
Her study looks at the relationship between Scheduling and topics such as Dynamic priority scheduling, which overlap with Fair-share scheduling.
Her Pharmaceutical manufacturing research is multidisciplinary, relying on both Control engineering, Control theory, Manufacturing engineering and Process modeling.
Marianthi G. Ierapetritou interconnects Control system and Model predictive control in the investigation of issues within Control engineering.
Her work deals with themes such as Material properties and Sensitivity, which intersect with Process engineering.
She most often published in these fields:
- Mathematical optimization (37.21%)
- Scheduling (17.28%)
- Pharmaceutical manufacturing (11.30%)
What were the highlights of her more recent work (between 2014-2020)?
- Pharmaceutical manufacturing (11.30%)
- Mathematical optimization (37.21%)
- Process engineering (10.30%)
In recent papers she was focusing on the following fields of study:
Her scientific interests lie mostly in Pharmaceutical manufacturing, Mathematical optimization, Process engineering, Scheduling and Process.
Marianthi G. Ierapetritou has included themes like Control engineering, Control theory, Feed forward and Manufacturing engineering in her Pharmaceutical manufacturing study.
Her work on Optimization problem as part of general Mathematical optimization research is frequently linked to Derivative-free optimization, bridging the gap between disciplines.
Her Process engineering research also works with subjects such as
- Material properties that intertwine with fields like Unit operation, Residence time distribution, Process design and Discrete element method,
- Raw material together with Scientific method and Pulp and paper industry.
Her work in Scheduling addresses issues such as Job shop scheduling, which are connected to fields such as Refinery.
Her Process research incorporates themes from Flexibility, Surrogate based optimization and Biochemical engineering.
Between 2014 and 2020, her most popular works were:
- Advances in surrogate based modeling, feasibility analysis, and optimization: A review (158 citations)
- Perspectives on the continuous manufacturing of powder‐based pharmaceutical processes (73 citations)
- Integration of scheduling and control under uncertainties: Review and challenges (47 citations)
In her most recent research, the most cited papers focused on:
- Endocrinology
- Statistics
- Mathematical optimization
Marianthi G. Ierapetritou mostly deals with Process engineering, Pharmaceutical manufacturing, Mathematical optimization, Kriging and Process.
The study incorporates disciplines such as Continuous manufacturing, Control theory, Feed forward and Sensitivity in addition to Process engineering.
Her studies deal with areas such as Manufacturing engineering, Material properties, Continuous feeding and Collinearity as well as Pharmaceutical manufacturing.
Her study in the field of Scheduling also crosses realms of Process control.
Her Scheduling research includes elements of Industrial engineering and Curse of dimensionality.
Her study in Kriging is interdisciplinary in nature, drawing from both Black box, Feasible region, Adaptive sampling and Surrogate model.
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