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Faculty Profile

Marianthi Ierapetritou

Bob and Jane Gore Centennial Chair of Chemical & Biomolecular Engineering

Education

  • Doctorate – 1995 Imperial College, London, UK
  • Diploma – 1991 National Technical University of Athens, Greece

About Marianthi Ierapetritou

Marianthi Ierapetritou is the Gore Centennial Chair in the Department of Chemical and Biomolecular Engineering at the University of Delaware. Dr. Ierapetritou’s research focuses on the following areas: 1) process operations; (2) design and synthesis of flexible production systems focusing on pharmaceutical manufacturing; 3) energy and sustainability process modeling and operations; and 4) modeling of biopharmaceutical production. Her research is supported by several federal (FDA, NIH, NSF, ONR, NASA) and industrial (BMS, J&J, GSK, PSE, Bosch, Eli Lilly) grants. Among her accomplishments are the 2016 Computing and Systems Technology (CAST) division Award in Computing in Chemical Engineering, the highest distinction in the Systems area of the American Institute of Chemical Engineers (AIChE), the Award of Division of Particulate Preparations and Design (PPD) of The Society of Powder Technology, Japan; the Outstanding Faculty Award at Rutgers; the Rutgers Board of Trustees Research Award for Scholarly Excellence; and the prestigious NSF CAREER award. She has also been appointed as a Consultant to the FDA under the Advisory Committee for Pharmaceutical Science and Clinical Pharmacology, elected as a fellow of AICHE and as a Director in the board of AIChE. She has more than 250 publications, and has been an invited speaker to numerous national and international conferences. Dr. Ierapetritou obtained her BS from The National Technical University in Athens, Greece, her PhD from Imperial College (London, UK) in 1995 and subsequently completed her post-doctoral research at Princeton University (Princeton, NJ). Prior to joining the University of Delaware, Prof. Ierapetritou was a Distinguished Professor and Associate Vice President for the Promotion of Women in Science, Engineering, and Mathematics at Rutgers University.

Select Publications

For a complete listing of publications, please view the Full CV.

  1. Metta, N., R., Ramachandran, Ierapetritou, M. A Computationally Efficient Surrogate-Based Reduction of a Multiscale Comill Process Model. Journal of Pharmaceutical Innovation, DOI: 10.1007/s12247-019-09388-2 (2019)
  2. Metta, N., Ghijs, M., Schafer, E., Kumar, A., Cappuyns, P., Assche, I.V., Singh, R., Ramachandran, R., De Beer, T., Ierapetritou, M., Nopens, I. Dynamic Flowsheet Model Development and Sensitivity Analysis of a Continuous Pharmaceutical Tablet Manufacturing Process Using the Wet Granulation Route. Processes 7(4), 234 (2019)
  3. Yang, O., Qadam M., Ierapetritou, M. Economic Analysis of Batch and Continuous Biopharmaceutical Antibody Production: A Review. Journal of Pharmaceutical Innovation, DOI: 10.1007/s12247-018-09370-4 (2019)
  4. Yang, O., Prabhu, S., Ierapetritou, M. A Comparison between Batch and Continuous Monoclonal Antibody Production and Economic Analysis. Industrial Engineering Chemistry Research, 58, 15, 5851-5863 (2019)
  5. Liu, S., Josephson, TR., Athaley, A., Chen, QP., Norton, A., Ierapetritou, M., Siepmann, J.I., Saha, B., Vlachos, D.G. Renewable lubricants with tailored molecular architecture. Science Advances, 5(2) (2019)
  6. Escotet-Espinoza, M.S., Moghtadernejad, S., Oka, S., Wang, Z., Wang, Y., Roman-Ospino, A., Schäfer, E., Cappuyns, P., Assche, I.V., Futran, M., Muzzio, F, M., Ierapetritou. Effect of tracer material properties on the residence time distribution (RTD) of continuous powder blending operations. Part II of II: Application of models. Powder Technology, DOI: 10.1016/j.powtec.2018.12.051 (2019)
  7. Escotet-Espinoza, M.S., Moghtadernejad, S., Oka, S., Wang, Y., Roman-Ospino, A., Schäfer, E., Cappuyns, P., Assche, I.V., Futran, M., Ierapetritou, M., Muzzio, F. Effect of tracer material properties on the residence time distribution (RTD) of continuous powder blending operations. Part I of II: Experimental evaluation. Powder Technology, 342, 744-763 (2019)
  8. Dias, L., M., Ierapetritou. Optimal operation and control of intensified processes – opportunities and challenges. Current Opinion in Chemical Engineering. DOI: 10.1016/j.coche.2018.12.008 (2019)
  9. Athaley, A., Annam, P., Saha, B., Ierapetritou, M. Techno-economic and life cycle analysis of different types of hydrolysis process for the production of p-Xylene. Computers & Chemical Engineering, 121, 685-695 (2019)
  10. Yang, S., Kiang, S., Farzan, P., Ierapetritou, M. Optimization of reaction selectivity using CFD-based compartmental modeling and surrogate-based optimization. Processes, 7(1), 9 (2019)

Awards

For a complete listing of awards, please view the Full CV.

  1. The Research & Development Council of New Jersey Chairman’s Award as part of the Center for Structured Organic Particular Systems, NSF funded ERC center: 2018
  2. Distinguished Professor promotion effective July 1st of 2017 (Rutgers University): 2017
  3. Board of Directors of the American Institute of Chemical Engineers (AIChE): 2017
  4. Computing in Chemical Engineering from American Institute of Chemical Engineers (AIChE), Computing And Systems Technology (CAST) division: 2016
  5. Fellow of American Institute of Chemical Engineers: 2016
  6. EPA’s 2015 Scientific and Technological Achievement Highest Level Award: 2015
  7. Award of Division of Particulate Preparations and Design (PPD) in PPD division of The Society of Powder Technology, Japan (SPTJ): 2015
  8. Best Teacher award (selected by the students (Engineering Governing Council): 2014
  9. PSE Model-Based Innovation (MBI) Prize for 2013: 2013
  10. Outstanding Faculty Award, School of Engineering (Rutgers University): 2012

Research Areas

Dr. Ierapetritou’s research focuses on the following areas: 1) process operations; (2) design and synthesis of flexible production systems focusing on pharmaceutical manufacturing; 3) energy and sustainability process modeling and operations; and 4) modeling of biopharmaceutical production.

Office: 223 CLB
Phone: 302-831-6641
mgi@udel.edu

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