Babatunde A Ogunnaike

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

269 CLB
University of Delaware
Newark, Delaware 19716
302-831-1048 (fax)

  • Masters - 1981 University of Wisconsin - Madison
  • Doctorate - 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. K. Mukati, M. Rasch and B. A. Ogunnaike, "An Alternative Structure for next generation Regulatory Controllers: Part II Stability analysis and tuning rules and experimental Validation", J. Process Control doi:10.1016/j.jprocont.2008.03.004 19 (2), 272, (2009)
  5. S.C.Garge, M.D.Wetzel, and B.A.Ogunnaike, "Inference-Based Scheme for Controlling Product End-Use Properties in Reactive Extrusion Processes", Ind. Eng. Chem. Res. 49, 8021, (2010)
  6. E.S.Welf, U.P. Naik, and B.A. Ogunnaike, "Probabilistic modeling and analysis of the effects of extracellular matrix density on the sizes, shapes, and locations of integrin clusters in adherent cells", BMC Biophysics 4:15, (2011)
  7. S.-W. Chung, C.R. Cooper, M. C. Farach-Carson, and B. A. Ogunnaike, "A Control Engineering approach to understanding the TGF- paradox in cancer", J. R. Soc. Interface 9, 1389, (2012)
  8. M. M. St. Amand, D. Radhakrishnan, A. S. Robinson, and B. A. Ogunnaike, "Identification of Manipulated Variables for a Glycosylation Control Strategy", Biotechnol. Bioeng doi 10.1002/bit.25251 111 (10), 1957, (2014)
  9. C. R. Christie, L.E.K. Achenie, and B.A. Ogunnaike, "A Control Engineering Model of Calcium Regulation", J Clin Endocrinol Metab doi: 10.1210/jc.2013-3451 99(8), 2844, (2014)
  10. J.A. McGill, N.M. Abukhdeir, B.A. Ogunnaike, and D.G. Vlachos, "Analysis and control of heteroepitaxial systems", Journal of Process Control 27, 50, (2015)


  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. Excellence in Teaching Award (University of Delaware, College of Engineering: 2004)
  6. William L. Friend Professor of Chemical 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. Plenary Lecture (American Control Conference: 1998)

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