Harry Creighton Peffer Distinguished Professor of Chemical Engineering
School of Chemical Engineering
Forney Hall of Chemical Engineering
480 Stadium Mall Drive
West Lafayette, IN 47907-2100
Professor Ramkrishna's research group is motivated by ideas in the application of mathematics to solving problems in chemical and biochemical reaction engineering, biotechnology and biomedical engineering. Their research ideas arise from linear (operator methods) and nonlinear analysis of ordinary and partial differential equations, stochastic processes, and population balance modeling involving integro-partial differential equations.
The current focus in chemical reaction engineering is in the application of multidimensional population balance modeling in the area of precipitation and crystallization processes with the objective of controlling crystal morphology and polymorphs (Borchert et al., 2008). On another front, joint work with Professor Joshi of Mumbai University Institute of Chemical Technology is in progress involving investigation of bubble columns with computational fluid dynamics and population balance models.
Recent developments in cybernetic modeling (Young, 2005; Young and Ramkrishna, 2007; Young et al., 2008) are being used to investigate hybrid models by synthesizing cybernetic models with the flux balance approach for intracellular fluxes for bioreaction engineering applications. Currently, bacterial systems are under investigation in batch, fed-batch and continuous bioreactors for nonlinear behavior with respect to multiplicity, stability, and periodic behavior using multi-substrate feeds (Kim, 2008).
In biotechnology, Professor Ramkrishna, in collaboration with Professor Morgan, is investigating dynamic, cybernetic models of large metabolic networks developed by his group along with experimental measurements of numerous intracellular metabolites and fluxes for parameter identification. Cybernetic models are also under investigation for application to metabolic engineering. Of particular interest is its application to metabolic engineering of yeast for the development of new strains to maximize productivity of bioethanol. This investigation is in collaboration with Professor Morgan and Dr. Nancy Ho.
An active research program in collaboration with Professors Hannemann (ChE), Rundell, and Leary of (BME) is under way in the application of population balance models for cancer chemotherapy (leukemia). This work involves clinical data from the Riley Children's Hospital at Indianapolis through collaboration with Dr. Vik. Stochastic models are being investigated for quantitative design of complete cancer cure.
A new project has just been initiated in collaboration with Prof. Wei-Shou Hu at the University of Minnesota. The primary objective of this research project is to construct mathematical models for signal transduction processes connected with transferring drug resistance between different cells.
Professor Ramkrishna is also associated with recently instituted research in Cancer Care Engineering at Purdue for mathematical modeling of the development of Colorectal Cancer based on information gleaned from clinical and biological data obtained from patients.
- Jayachandran Devaraj
- Frank DeVilbiss
- Conor Parks
- Vu Thien Tran
- Hyun-Seob Song
Awards and Honors
“Modeling of Gene Regulatory Processes by Population Mediated Signaling. New Applications of Population Balances,” C-C. Shu, A. Chatterjee, W-S. Hu, and D. Ramkrishna, Chem. Eng. Sci., 70, 188-199 (2012)
“Towards Increasing the Productivity of Lignocellulosic Bioethanol: Rational Strategies Fueled by Modeling,” H-S. Song, J. A. Morgan, and D. Ramkrishna, Bioethanol, Edited by Marco Aurelio Pinheiro Lima and Alexandra Pardo Policastro Natalense, InTech, 173-190, (2012)
“Synergistic Optimal Integration of Continuous and Fed-Batch Reactors for Enhanced Productivity of Lignocellulosic Bioethanol,” H-S. Song, S. J. Kim, and D. Ramkrishna,Ind. Eng. Chem., 52, 1690-1696 (2012)
“Prediction of Dynamic Behavior of Mutant Strains from Limited Wild-Type Data,” H-S. Song, and D. Ramkrishna, Metabolic Engineering, 14, 69-80 (2012)
“Dynamic Models of Metabolism. A Review of the Cybernetic Approach,” D. Ramkrishna, and H-S. Song, A.I.Ch.E. Jl., 58, 986-997 (2012)
“On Enhancing Productivity of Bioethanol with Multiple Species,” J. Geng, H-S. Song, J. Yuan, and D. Ramkrishna, Biotechnol. & Bioeng., 109, 1508-1517 (2012)
“Prediction of Dynamic Metabolic Behavior of Pediococcus Pentosaceus Producing Lactic Acid From Lignocellulosic Sugars,” P. Adler, H-S. Song, K. Kastner, D. Ramkrishna, and B. Kunz, Biotechnol. Progress, 28, 623-635 (2012)
“Modeling and Nonlinear Analysis of Cupriavidus Necator Metabolism including Poly (hydroxybutyrate) synthesis and degradation: Incorporation of internal metabolites with slow dynamics into hybrid cybernetic modeling,” A. Franz, H-S. Song, D. Ramkrishna, and A. Kienle, Biochemical Journal, 55, 49-58 (2012)
“Cybernetic Models Based on Lumped Elementary Modes Accurately Predict Metabolic Function of Multiple Strains,” H-S. Song, and D. Ramkrishna, Biotechnol. & Bioeng., 108, 127-140 (2011)
"Image-Analysis-Based Method for Measurement of 3D Crystal Morphology and Polymorph Identification Using Confocal Microscopy," S. Meenesh, C. Jayanta; N. Nere, H.-H. Tung, S. Bordawekar, and D. Ramkrishna, Crystal Growth and Design, 12, 3735-3748 (2012)
“Experimental and Theoretical Analysis of Poly-Hydroxybutyrate Formation and Consumption in Ralstonia Eutropha,” A. Franz, H-S. Song, D. Ramkrishna, and A. Kienle, Biochem. Eng. Jl., 55, 49-58 (2011)
“Convergent Transcription Confers a Bistable Switch in Enterococcus Faecalis Conjugation,” A. Chatterjee, C-C. Shu, C. M. Johnson, Y. N. Kaznessis, D. Ramkrishna, G. M. Dunny, and W-S. Hu, PNAS, 108, 9721-9726 (2011)
“Equation Chapter 1 Section 1 Population Balance Modeling of Environment Dependent Breakage: Role of Granular Viscosity, Density and Compaction. Model Formulation and Similarity Analysis,” J. Chakraborty, and D. Ramkrishna, Ind. Eng. Chem., 50, 13116-13128 (2011)
“Bistability Versus Bimodal Distributions in Gene Regulatory Processes from Population Balance Modeling,” C-C. Shu, D. Ramkrishna, A. Chatterjee, and W-S. Hu, PLoS Computational Biology: e1002140. doi:10.1371/journal.pcbi.1002140, 7, August (2011)