University of Delaware - College of Engineering
CHEMICAL & BIOMOLECULAR ENGINEERING

People

Faculty

Babatunde A Ogunnaike

Babatunde Ogunnaike
  • Dean
  • William L. Friend Chair of Chemical Engineering
  • Professor, Center for Systems Biology - DBI

230 CLB
University of Delaware
Newark, Delaware 19716
ogunnaike@udel.edu
302-831-4504
302-831-1048 (fax)


Education
  • Doctorate - 1981 University of Wisconsin - Madison
  • Masters - 1981 University of Wisconsin - Madison
  • Bachelors - 1976 University of Lagos, Nigeria

"CONTROL AND SYSTEMS THEORY - We are primarily concerned on the one hand with the development of effective control techniques, with application to complex industrial processes; we are also concerned on the other hand with understanding biological control systems-the means by which mammalian organisms maintain stable, efficient and "near-optimal" performance and homeostasis in the face of external and internal perturbations. In each case we apply principles of systems theory and develop appropriate analysis tools as needed. Our research program in engineering control systems has recently led to the development (and patenting) of a next generation regulatory controller as an alternative to the ubiquitous, but difficult to tune PID controller. This novel controller's tuning parameters are related directly and explicitly to the controller performance attributes of robustness, set-point tracking, and disturbance rejection (and also overall controller aggressiveness); they are also all naturally scaled between 0 and 1, leading to a controller that can be designed and implemented much more directly and transparently. We have validated the controller experimentally on several processes including a thin-film physical vapor deposition (PVD) process for manufacturing thin-film solar cells. The counterpart program in biological control systems has led to the recent elucidation of the control mechanism for DNA damage repair with the p53-Mdm2 system, enabling us to resolve the experimentally observed dilemma of "analog" damped oscillatory responses at the ensemble level but "digital" pulse-like responses at the single cell level. Obtaining these results required a combination of systems engineering, probabilistic and deterministic modeling and control theory. We are currently using similar tools to study the platelet signaling, activation, and aggregation control system for controlling blood loss following vascular injury. SYSTEMS BIOLOGY - An organism's objectives of viability, growth, and reproduction are realized via a carefully orchestrated cooperation among various cell types. Maintaining normal function involves individual cell decisions about growth, proliferation, differentiation, migration and death, mediated by cell-to-cell communications, and coordinated by regulatory systems in a manner far too complex to be understood by qualitative reasoning alone. Our research efforts bring quantitative modeling and engineering systems theory to bear specifically on signal transduction-the early signal propagation events occurring through the interactions of specialized proteins in the cell membrane and the cytoplasm-and also on the subsequent events occurring in the nucleus through the interactions of proteins with DNA, leading to changes in gene expression. In addition to explaining observed phenomena through signal transduction modeling, we continue to focus on some key fundamental challenges to effective signal transduction modeling such as combinatorial complexity, parameter identifiability, and experimental design for parameter estimation. We are also concerned with the problems associated with modeling and identification of gene regulatory networks in general, with particular application to the development and manifestation of such neurophysiological diseases as hypertension and alcohol withdrawal. As a general aid to our systems biology efforts, we are developing novel statistical techniques for analyzing cellular data, especially gene expression data from microarrays, and single-cell flow cytometry measurements for characterizing cell population heterogeneity."

XSelected Publications

For a complete listing of publications, please view the Full CV.
  1. B. A. Ogunnaike and W. H. Ray, "Process Dynamics Modeling and Control", Oxford University Press, NY (1994)
  2. B. A. Ogunnaike, "Random Phenomena: Fundamentals of Probability & Statistics for Engineers", CRC Press/Taylor & Francis, Boca Raton, FL (2009)
  3. B.A. Ogunnaike, "On-line modeling and predictive control of an industrial terpolymerization reactor", Int. J. of Control 59, 711, (1994)
  4. B.A. Ogunnaike, "Elucidating the digital control mechanism for DNA damage repair with the p53-Mdm2 System: Single cell data analysis and ensemble modeling.", J.Royal Soc. Interface 3, 175, (2006)
  5. S. C.Garge, M. D. Wetzel and B. A. Ogunnaike., "Quantification of the Melting Process in a Co-rotating Twin-Screw Extruder: A Hybrid Modeling Approach.", Polymer Engineering and Science 47, (7), 1040, (2007)
  6. B.A. Ogunnaike, K. Mukati, "Design, development and implementation of an alternative structure for next generation regulatory controllers.", J. of Process Control 16, 499, (2006)
  7. M. R. Birtwistle, M. Hatakeyama, N. Yumoto, B. A. Ogunnaike, J. B. Hoek, and B. N. Kholodenko, "Ligand-dependent responses of the ErbB signaling network: experimental and modeling analyses", Molecular Systems Biology 3:144, 1, (2007)
  8. S.-W. Chung, F.L.Miles, R.A. Sikes, C.R. Cooper, M. C. Farach-Carson, and B. A. Ogunnaike, "Quantitative Modeling and Analysis of the Transforming Growth Factor Signaling Pathway", Biophys. Journal 96, 1733, (2009)
  9. T. Nakakuki, M.R. Birtwistle, Y. Saeki, N. Yumoto, K. Ide, T. Nagashima, L. Brusch, B.A. Ogunnaike, M. Okada-Hatakeyama, and B.N. Kholodenko, "Ligand-Specific c-Fos Expression Emerges from the Spatiotemporal Control of ErbB Network Dynamics", Cell 141, 884, (2010)
  10. E.S.Welf, U.P. Naik, and B.A. Ogunnaike, "A SpatialModel for Integrin Clustering as a Result of Feedback between Integrin Activation and Integrin Binding", Biophys. Journal 103, 1379, (2012)

XPatents

  1. Predictive Regulatory Controller (7203555B2): , 2007

XSelected Awards

For a complete listing of awards, please view the Full CV.
  1. Fellow (American Institute of Chemical Engineers: 2009)
  2. Control Engineering Practice Award (American Automatic Control Council: 2008)
  3. Donald P. Eckman Education Award ((ISA) Society: 2007)
  4. Slocomb Excellence in Teaching award (University of Delaware: 2005)
  5. William L. Friend Professor of Chemical Engineering: 2004
  6. Excellence in Teaching Award (University of Delaware, College of Engineering: 2004)
  7. Centennial Lecture (Illinois Institute of Technology: 2002)
  8. Lindsey Lecture (Texas A & M University: 2001)
  9. Plenary Lecture (Control of Particulate Processes VI: 1999)
  10. Computing Practice Award (American Institute of Chemical Engineers, Computer and Systems Technology Divisi: 1998)


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