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Email: Click to Mail Phone: (805) 893-3352 Fax: (805) 893-4731 Office Location: 3335 Engineering II Address: Chemical Engineering Department
Mail Code 5080
University of California
Santa Barbara, CA 93106-5080 |
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BS: Chem. Eng., University of Wisconsin
PhD: Chem. Eng., Princeton University
Honors:
2008 Elected to the Process Automation Hall of Fame
2008 Co-recipient of the Best Application Paper Award from the J. of Process Control (with E. Zamprogna and M. Barolo)
2008 Honored by a Festschrift in the J. of Process Control
2004 Elected Fellow of AIChE
2004 Engineering Student Council Teaching Award for the Dept. of Chem. Eng., UCSB
1994 Statistics in Chemistry Award, American Statistical Association (with W.E. Larimore, A. Kemna, C.D. Schaper and D.A. Mellichamp)
1993 Education Award, American Automatic Control Council
1990 Meriam-Wiley Distinguished Author Award, Amer. Soc. of Eng. Educ. (with T.F. Edgar and D.A. Mellichamp)
My research is concerned with the development of improved techniques for process control, process monitoring, system identification. The research involve a balance of theoretical analysis, process simulation, and experimental applications, including diabetes control problems.
Seborg, D.E., T.F. Edgar, and D.A. Mellichamp, Process Dynamics and Control, 2nd edition, John Wiley & Sons, New York (2004). (Chinese translation, 2006.)
Finan, D.A..,C.C. Palerm, F. J. Doyle III , H. Zisser, L. Jovanovic, W.C. Bevier, and D.E. Seborg, Identification of Empirical Dynamic Models From Type 1 Diabetes Subject Data, Proc. 2008 Amer. Control Conf., Seattle, WA, June, 2008.
Gunther, J.C., J.S. Conner, and D.E. Seborg, PLS Pattern Matching in Design of Experiment, Batch Process Data, Chemometrics and Intelligent Laboratory Systems, 94, 43-50(2008).
Marchetti, G., M. Barolo, L. Jovanovic, H. Zisser, and D.E. Seborg, An Improved PID Control Strategy for Type 1 Diabetes, IEEE Trans. Biomed. Eng., 55, 857-865 (2008).
Finan, D.A.., H. Zisser, L. Jovanovic, W.C. Bevier, D.E. Seborg, Practical Issues in the Identification of Empirical Models from Simulated Type 1 Diabetes Data, Diabetes Technology & Therapeutics, 9, 438-450 (2007).