Professor and Head 150 N. University St.
Department of Mathematics West Lafayette, IN
Purdue University email@example.com
Ph.D. mathematics University of Michigan 1995
M.S. mathematics Michigan State University 1991
B.S. computer science Michigan State University 1989
B.Mus., violin performance Michigan State University 1989
Head of Mathematics Purdue University 2013-present
Professor of Mathematics Purdue University 2010-present
Consultant Gene Network Sciences 2005-2009
Director of Cardiac Technology Gene Network Sciences 2004-2005
Associate Professor Purdue University 2002-2010
H.C. Wang Assistant Professor Cornell University 1998-2001
Max Zorn Assistant Professor Indiana University 1995-98
Invited visitor IHES, Bures-sur-Yvette, France Spring 2013
Invited visitor Institut Mittag-Leffler April 2008
Visiting Professor Université Paul-Sabatier, Toulouse March 2005
Visiting Professor Université Paul-Sabatier, Toulouse May 2004
Invited visitor IHES, Bures-sur-Yvette, France summer 1999
Postdoctoral Fellow Mathematical Sciences Research Institute spring 1996
Postdoctoral Fellow Mathematical Sciences Research Institute spring 1995
Fellowships and Awards
Math Advisors’ Choice Award 2015
Purdue University Fellowship for Study in a Second Discipline 2012
Ruth and Joel Spira Teaching Award 2004 and 2009
University of Michigan Research Partnership Award 1994
University of Michigan Regents Fellowship 1991-94
NSF Dissertation Enhancement Award (for residence at IHES) 1994
NSF Graduate Fellowship 1989-91
Algorithms for uncertainty quantification and reduction
Algorithms for image processing
Mathematical and computational biology
Dynamical systems and their applications
Complex analysis and geometry-several complex variables
Peer-reviewed journal articles
55. Sai, A.P., Mdluli, T., Buzzard, G.T., Rundell, A.E., Nexperiment: Computational Platform for Model-based Design of Experiments to Reduce Dynamical Uncertainty, submitted 2016.
54. Borgonovo, E., Buzzard, G.T., Wendell, R., A Global Tolerance Approach to Sensitivity Analysis in Linear Programming, submitted 2016.
53. Chakrabarty, A., Buzzard, G.T., Zak, S.H., Zhu, F., Rundell, A.E., Simultaneous Unknown Input And Sensor Noise Reconstruction for Nonlinear Systems With Boundary Layer Sliding Mode Observers, submitted 2015.
52. Sreehari, S., Venkatakrishnan, S.V., Wohlberg, B., Buzzard, G.T., Drummy, L.F., Simmons, J.P., Bouman, C.A., Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation, to appear in IEEE Trans. Comput. Imaging.
51. Scarborough, N.M., Dilshan, P., Godaliyadda, D.H.Y., Kissick, D.J., Zhang, S., Newman, J.A., Sheedlo, M.J., Chowdhury, A., Fischetti, R.F., Das, C., Buzzard, G.T., Bouman, C.A., Simpson, G.J., Dynamic X-ray Diffraction Sampling for Protein Crystal Positioning, to appear in J. Synchrontron Radiat.
50. Chakrabarty, A., Corless, M., Buzzard, G.T., Zak, S.H., Rundell, A.E., State and Unknown Input Observers for Nonlinear Systems with Bounded Exogenous Inputs, to appear in IEEE Trans. Autom. Control.
49. Chakrabarty, A., Buzzard, G.T., Zak, S.H., Output-Tracking Quantized Explicit Nonlinear Model Predictive Control Using Multi-Class Support Vector Machines, to appear in IEEE Trans. Ind. Electron. doi: 10.1109/TIE.2016.2638401
48. Dinh, V., Rundell, A.E., and Buzzard, G.T., Convergence of the Griddy-Gibbs sampling method, to appear in J. Statist. Comput. Simulation. http://dx.doi.org/10.1080/00949655.2016.1264399
47. Chakrabarty, A., Dinh, V., Corless, M., Rundell, A.E., Zak, S.H., Buzzard, G.T., Support Vector Machine Informed Explicit Nonlinear Model Predictive Control Using Low-Discrepancy Sequences, IEEE Transactions on Automatic Control, 62(1): 135-148, 2016.
46. Rehrauer, O., Mankani, B.R., Buzzard, G.T., Lucier, B.J., Ben-Amotz, D., Fluorescence modeling for optimized-binary compressive detection Raman spectroscopy, Optics Express, 23(18): 23935-51. doi: 10.1364/OE.23.023935, 2015.
45. Mdluli, T., Buzzard, G.T., Rundell, A.E., Efficient Optimization of Stimuli for Model-based Design of Experiments to Resolve Dynamical Uncertainty, PLOS Computational Biology, 11(9): e1004488, doi: 10.1371/journal.pcbi.1004488, 2015.
44. Beccacece, F., Borgonovo, E., Buzzard, G., Cillo, A., Zionts, A., Elicitation of multiattribute value functions through high dimensional model representations: Monotonicity and interactions, Eur. J. Op. Res., 246(2), 517-527, doi: 10.1016/j.ejor.2015.04.042, 2015.
43. McGee, R.L., Krisenko, M.O., Geahlen, R.L., Rundell, A.E., Buzzard, G.T,. A Computational Study of the Effects of Syk Activity on B Cell Receptor Signaling Dynamics. Processes, 3(1):75-97, 2015.
42. Perley, J.P., Mikolajczak, J., Buzzard, G.T., Harrison, M.L., Rundell, A.E., Resolving Early Signaling Events in T-Cell Activation Leading to IL-2 and FOXP3 Transcription. Processes, 2(4):867-900, 2014.
41. Dinh, V., Rundell, A.E., and Buzzard, G.T., Effective Sampling Schemes for Behavior Discrimination in Nonlinear Systems, Int. J. Uncertainty Quantification, 4(6); 535-554, 2014.
40. Pargett, M., Rundell, A.E., Buzzard, G.T., Umulis, D.M., Model-based analysis for qualitative data: An application in Drosophila germline stem cell regulation, PLoS Comput Biol, 10(3): e1003498. doi:10.1371/journal.pcbi.1003498, 2014.
39. Perley, J., Mikolajczak, J., Harrison, M., Buzzard, G.T., Rundell, A.E., Multiple Model-Informed Open-Loop Control of Uncertain Intracellular Signaling Dynamics, PLoS Comput Biol, 10(4): e1003546. doi:10.1371/journal.pcbi.1003546, 2014.
38. Dinh, V., Rundell, A.E., and Buzzard, G.T., Experimental design for dynamics identification of cellular processes, Bull. Mathematical Biology, 76; 597-626, 2014.
37. Wilcox, D.S., Buzzard, G.T., Lucier, B.J., Rehrauer, O.G, Wang, P., and Ben-Amotz, D., Digital Compressive Chemical Quantitation and Hyperspectral Imaging, Royal Society Chem, Analyst, 138(17); 4982-4990, 2013. doi: 10.1039/C3AN00309D
36. Buzzard, G.T., Efficient basis change for sparse-grid interpolating polynomials with application to T-cell sensitivity analysis, Computational Biology Journal, Article ID 562767, 10 pages, 2013. doi: 10.1155/2013/562767
35. Wilcox, D.S., Buzzard, G.T., Lucier, B.J., Wang, P., and Ben-Amotz, D., Photon Level Chemical Classification using Digital Compressive Detection, Analytica Chimica Acta, (755); 17-27, 2012. doi: 10.1016/j.aca.2012.10.005.
34. Lee, R.S., Buzzard, G.T., and Meckl, P., Optimal parameter estimation for long-term prediction in the presence of model mismatch, ASME J. Dyn. Sys. Meas. Control, 134(4), 041010 (16 pages), 2012. http://dx.doi.org/10.1115/1.4005497
33. Noble, S.L., Wendel, L.E., Donahue, M.M., Buzzard, G.T., and Rundell, A. E., Sparse-grid-based adaptive model predictive control of HL60 cellular differentiation, IEEE Trans. Biomedical Eng., 59(2); 456-463, 2012. http://dx.doi.org/10.1109/TBME.2011.2174361
32. Karim, M.S., Buzzard, G.T., Umulis, D.M., Secreted, receptor-associated BMP regulators reduce stochastic noise intrinsic to many extracellular morphogen distributions, J. Royal Soc. Interface, 9(70); 1073-83, 2012. http://dx.doi.org/10.1098/rsif.2011.0547
31. Bazil, J.N., Buzzard, G.T., Rundell, A.E., A global, parallel, model-based design of experiments method to minimize model output uncertainty, Bull. Math. Biol., 74(3); 688-716, 2011.
30. Buzzard, G.T., Global sensitivity analysis using sparse grid interpolation and polynomial chaos, Reliability Eng. and Sys. Safety, 107 (SAMO 2010); 82-89, 2012.
29. Donahue, M.M., Buzzard, G.T., and Rundell, A.E., Experiment design through dynamical characterization of systems biology models utilizing sparse grids, IET Systems Biology, 4(4); 249-262, 2010.
28. Bazil, J.N., Buzzard, G.T., and Rundell, A.E., A bioenergetic model of the mitochondrial population undergoing permeability transition, J. Theor. Biol., 265(4); 672-690, 2010.
27. Buzzard, G.T. and Xiu, D., Variance-based global sensitivity analysis using sparse-grid interpolation and cubature, Comm. Comp. Phys., 9(3); 542-567, 2011.
26. Bazil, J.N., Buzzard, G.T., and Rundell, A.E., Modeling mitochondrial bioenergetics with integrated volume dynamics, PLoS Comput. Biol., 6(1): e1000632, 2010.
25. Donahue, M.M., Buzzard, G.T., and Rundell, A.E., Parameter Identification with Adaptive Sparse Grid-based Optimization for Models of Cellular Processes, in Methods in Bioengineering: Systems Analysis of Biological Networks, A. Jayaraman and J. Hahn, Eds. Boston/London: Artech House, 211-232, 2009.
24. Zhou, Q., Zygmunt, A.C., Cordeiro, J.M., Siso-Nadal, F., Miller, R.E., Buzzard G.T., and Fox, J.J., Identification of IKr Kinetics and Drug Binding in Native Myocytes, Annals of Biomedical Engineering, 37(7); 1294-1309, 2009. DOI: 10.1007/s10439-009-9690-5
23. Fox, J.J., Buzzard, G.T., Miller, R., and Siso-Nadal, F., Massively parallel simulation of cardiac electrical wave propagation on Blue Gene, Parallel Computing: Architectures, Algorithms and Applications, C. Bischof, M. Bücker, P. Gibbon, G.R. Joubert, T. Lippert, B. Mohr, F. Peters (Eds.), John von Neumann Institute for Computing, Jülich, NIC Series, Vol. 38, pp. 609-616, 2007. Reprinted in: Advances in Parallel Computing, Volume 15, (IOS Press), 2008.
22. Buzzard, G.T., and Jenkins, A., Holomorphic motions and structural stability for polynomial automorphisms of C2, Indiana U. Math. J., 57(1); 277-308, 2008.
21. Buzzard, G.T., Fox, J.J., and Siso, F., Sharp interface and voltage conservation in the phase field method: Application to cardiac electrophysiology, SIAM J. Sci. Comp., 30(2); 837-854, 2008.
20. Rand, D.G., Zhou, Q., Buzzard, G.T., and Fox, J.J., Computationally efficient strategy for modeling the effect of ion current modifiers, IEEE Trans. BME, 55(1); 3-13, 2008.
19. Buzzard, G.T., Hruska, S., and Ilyashenko, Y., Kupka-Smale Theorem for polynomial automorphisms of C2 and persistence of heteroclinic intersections, Invent. Math., 161(1); 45-89, 2005.
18. Zheng, Y., Balakrishnan, V., Buzzard, G.T., Geahlen, R., Harrison, M., and Rundell, A., Modeling and analysis of early events in T-lymphocyte antigen-activated intracellular-signaling pathways, J. Comp. Appl. Math., 184(1); 320-341, 2005.
17. Buzzard, G.T., and Merenkov, S., Maps conjugating holomorphic maps in Cn, Indiana U. Math J., 52; 1135-1146, 2003.
16. Buzzard, G.T., Tame sets, dominating maps, and complex tori, Trans. AMS, 355(6); 2557-2568, 2003.
15. Buzzard, G.T., and Verma, K., Hyperbolic automorphisms and holomorphic motions in C2, Michigan Math. J., 49(3); 541-565, 2001.
14. Buzzard, G.T., and Lu, S.Y., Double sections, dominating maps, and the Jacobian fibration, Amer. J. Math., 122(5); 1061-1084, 2000.
13. Buzzard, G.T., Extensions of Hénon maps to the closed 4-ball, Ergodic Theory Dynam. Systems, 20(5); 1319-1334, 2000.
12. Buzzard, G.T., and Hubbard, J.H., A Fatou-Bieberbach domain avoiding a neighborhood of a variety of codimension 2, Math. Ann., 316(4); 699-702, 2000.
11. Buzzard, G.T., and Forstneric, F., An interpolation theorem for holomorphic automorphisms of Cn, J. Geom. Anal., 10(1); 101-108, 2000.
10. Buzzard, G.T., and Lu, S.Y., Algebraic surfaces holomorphically dominable by C2, Invent. Math., 139(3); 617-659, 2000.
9. Buzzard, G.T., Nondensity of stability for polynomial automorphisms of C2, Indiana Univ. Math. J., 48(3); 857-865, 1999.
8. Buzzard, G.T., Kupka-Smale theorem for automorphisms of Cn, Duke Math. J., 93(3); 487‑503, 1998.
7. Buzzard, G.T., and Smillie, J., Complex dynamics in several variables, (expository paper), in Flavors of Geometry, Cambridge Univ. Press, Cambridge, 1997.
6. Buzzard, G.T., and Forstneric, F., A Carleman type theorem for proper holomorphic embeddings, Ark. Mat., 35(1); 157-169, 1997.
5. Buzzard, G.T., Infinitely many periodic attractors for holomorphic maps of 2 variables, Annals of Math., 145(2); 389-417, 1997.
4. Buzzard, G.T., and Fornaess, J.E., Compositional roots of Hénon maps, in Geometric Complex Analysis, ed. by J. Noguchi, et al., World Scientific Publ. Co., Singapore, pp. 67‑73, 1996.
3. Buzzard, G.T., and Fornaess, J.E., An embedding of C in C2 with hyperbolic complement, Math. Ann., 306(3); 539-546, 1996.
2. Buzzard, G.T., and Fornaess, J.E., Complete holomorphic vector fields and time-1 maps, Indiana U. Math. J., 44(4); 1175-1182, 1995.
1. Buzzard, G.T., Stably intersecting Julia sets of polynomials, C R. Acad. Sci. Paris, Ser. I Math., 317(11); 1013-1018, 1993.
Conference proceedings and expository articles (refereed)
20. Raha, A., Chakrabarty, A., Raghunathan, V., Buzzard, G.T., Ultrafast Embedded Explicit Model Predictive Control for Nonlinear Systems, American Control Conference (ACC), 2017, to appear.
19. Zak, S.H., Chakrabarty, A., Buzzard, G.T., Unknown Input Estimation Using Sliding Mode Observers for Nonlinear Systems Characterized by Incremental Multiplier Matrices, American Control Conference (ACC), 2017, to appear.
18. Majee, S., Ye, D.H., Buzzard, G.T., Bouman, C.A., A Model Based Neuron Detection Approach Using Sparse Location Priors, Computational Imaging Conference, IS&T Electronic Imaging 2017.
17. Zhang, H., Chakrabarty, A., Ayoub, R., Buzzard, G.T., Sundaram, S., Sampling-based Explicit Nonlinear Model Predictive Control for Output Tracking, 55th IEEE Conference on Decision and Control, Las Vegas, 2016.
16. Chakrabarty, A., Buzzard, G.T., Fridman, E., Zak, S.H., Unknown Input Estimation via Observers for Nonlinear Systems with Measurement Delays, 55th IEEE Conference on Decision and Control, Las Vegas, 2016.
15. Chakrabarty, A., Sundaram, S., Corless, M., Buzzard, G.T., Zak, S.H., Rundell, A.E., Distributed Unknown Input Observers for Interconnected Nonlinear Systems: Application to Gene Regulatory Networks, ACC 2016, Boston, MA.
14. Chakrabarty, A., Corless, M., Buzzard, G.T., Zak, S.H., Rundell, A.E., Sufficient Conditions for Exogenous Input Estimation in Nonlinear Systems, ACC 2016, Boston, MA.
13. Sai, A., Mdluli, T., Rundell, A.E., Buzzard, G.T., Nexperiment: User Friendly Model-based Design of Experiments Software, BMES 2015, Tampa FL.
12. Mdluli, T.; Pargett, M.; Buzzard, G.T.; Rundell, A.E., Specifying informative experiment stimulation conditions for resolving dynamical uncertainty in biological systems, Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE , pp. 298-301, Aug. 2014 doi: 10.1109/EMBC.2014.6943588
11. Chakrabarty, A., Buzzard, G.T, Corless, M.J., Zak, S.H., and Rundell, A.E., Correcting Hypothalamic-Pituitary-Adrenal Axis Dysfunction Using Observer-based Explicit Model Predictive Control, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’14) Chicago, IL, August 2014; 2014:3426-9. DOI: 10.1109/EMBC.2014.6944359
10. Dilshan Godaliyadda, G.M.; Buzzard, G.T.; Bouman, C.A., A model-based framework for fast dynamic image sampling, Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, pp.1822-1826, 4-9 May 2014. doi: 10.1109/ICASSP.2014.6853913
9. Chakrabarty, A.; Dinh, V.; Buzzard, G.T.; Zak, S.H.; Rundell, A.E., Robust explicit nonlinear model predictive control with integral sliding mode, American Control Conference (ACC), 2014, pp.2851-2856, June 2014. doi: 10.1109/ACC.2014.6859143.
8. Chakrabarty, A., Buzzard, G.T. and Rundell, A.E., Model-based design of experiments for cellular processes, Wiley Interdiscip Rev Syst Biol Med., 2013 Jan 4. doi: 10.1002/wsbm.1204.
7. Buzzard, G.T. and Lucier, B.J., Optimal filters for high-speed compressive detection in spectroscopy Proc. SPIE 8657, Computational Imaging XI, 865707 (February 14, 2013); doi:10.1117/12.2012700.
6. J.P. Perley, J. Mikolajczak, V.C. Dinh, M.L. Harrison, G.T. Buzzard, and A.E. Rundell, Systematically Manipulating T-Cell Signaling Pathway Dynamics via Multiple Model Informed Open-Loop Controller Design, 2012 IEEE 51st Annual Conference on Decision and Control (CDC), pp.380—385, Dec. 2012. doi: 10.1109/CDC.2012.6426023
5. Buzzard, G.T., Model-based experiment design, initiation. In Springer Encyclopedia of Systems Biology, http://www.springerreference.com/docs/html/chapterdbid/313051.html
4. Karim, M.S., Umulis, D.M, and Buzzard, G.T., Steady state probability approximation applied to stochastic model of a biological network, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS’11).
3. Noble, S.L., Buzzard, G.T., and Rundell, A.E., Feasible parameter space characterization with adaptive sparse grids for nonlinear systems biology models, American Control Conference Proceeding, O’Farrell Street, San Francisco, CA, 2011.
2. Buzzard, G.T., Changkuon, D., Donahue, M.M., and Rundell, A.E., Applications of sparse grid interpolation: sensitivity analysis and experiment design, Procedia - Social and Behavioral Sciences, 2(6), 2010, 7623-7624, http://dx.doi.org/10.1016/j.sbspro.2010.05.148.1.
1. Donahue, M.M., Buzzard, G.T., and Rundell, A.E., Robust parameter identification with adaptive sparse grid-based optimization for nonlinear systems biology models, in 2009 American Control Conference Proceedings, Hyatt Regency Riverfront, St. Louis, MO, USA, 2009.
1. Ben-Amotz, D., Lucier, B.J., Buzzard, G.T., Wilcox, D., Wang, P., Mankani, B., Optical Chemical Classification, U.S. Patent No. 9,476,824 B2, 2016.
Selected Invited Lectures
29. Electronic Imaging 2017, San Francisco, CA, 2017.
28. Electronic Imaging 2016, San Francisco, CA, 2016.
27. FOSBE (Foundations of Systems Biology in Engineering), Cambridge, MA, 2015.
26. National Science (Vijyoshi) Camp, Bangalore and Kolkata, India, 2014.
25. SIAM Conference on Uncertainty Quantification, Savannah, GA, 2014.
24. SIAM Control Theory Workshop, San Diego, 2013.
23. Università di Milano-Bicocca, Milan, Italy, 2013.
22. Università Bocconi, Milan, Italy, 2013.
21. Institut des Hautes Etudes Scientifiques, Bures-sur-Yvette, France, 2013.
20. INFORMS 2011 Annual Meeting, Charlotte, NC, 2011.
19. 6th International Conference on Sensitivity Analysis of Model Output, Milan, Italy, 2010.
18. SIAM Conference on Computational Science and Engineering, Miami, 2009.
17. NORDAN conference, Aland, Finland, 2008.
16. Spring Topology and Dynamics Conference, Milwaukee, Wisconsin, 2008.
15. Banach Center Conference: Complex Function Theory, Warsaw, Poland, 2007.
14. AMS Winter Central Section Meeting, Oxford, OH, 2007.
13. Midwest Several Complex Variables Conference, Ann Arbor, MI, 2007.
12. AMS Spring Central Section Meeting, Notre Dame, IN, 2006.
11. Analysis seminar, Université Paul-Sabatier, Toulouse, 2005.
10. Analysis seminar, Université Paul-Sabatier, Toulouse, 2004.
9. Workshop on Complex Dynamics, IHP, Paris, France, 2004.
8. Midwest Several Complex Variables Conference, London, Ontario, Canada, 2004.
7. Analysis seminar, University of Illinois, 2003.
6. Midwest Workshop on Dynamics in SCV, Bloomington, IN, 2002.
5. Conference on Complex Dynamics and Pluripotential Theory, Luminy, France, 2001.
4. Ph.D. Euroconference on Complex Analysis and Holomorphic Dynamics, Platja d’Aro, Spain, 2000.
3. Special Semester on Complex Dynamics in Several Variables, Sc. Norm. Sup., Pisa, Italy, 1999.
2. Hayama Symposium on Several Complex Variables, Hayama, Japan, 1998.
1. 4th Quadriennial International Conference on Dynamical Systems, IMPA, Rio de Janeiro, Brazil, 1997.
Seminar talks have been given at the following institutions: Michigan State, Univ. of Michigan, MSRI (Mathematical Sciences Research Institute), Indiana Univ., Cornell Univ., Purdue Univ., Univ. of Wisconsin-Madison, Univ. of Wisconsin-Milwaukee, Univ. of Chicago, Univ. de Paris-Sud(Orsay), Univ. Paul-Sabatier (Toulouse), SUNY Stony Brook, SUNY Albany, Univ. of Illinois, Wabash College, Toyama Univ. (Japan), IMPA (Rio de Janeiro), Univ. of Wuppertal (Germany), Univ. of Washington, Georgia Institute of Technology, Mt. Holyoke, Univ. of Arizona, Univ. of Nebraska, Sup’Biotech, Paris, University of Georgia, IUPUI, Valparaiso University.
6. Model-based analysis and control of cellular processes, West Lafayette, Indiana, 2012.
5. Midwest Several Complex Variables Conference, West Lafayette, Indiana, 2009 (IMA supported).
4. Dynamical systems in physiological modeling, West Lafayette, Indiana, 2008 (IMA supported).
3. Midwest Several Complex Variables Conference, Bloomington, Indiana, 1997.
2. Midwest Complex Dynamics Workshop, Bloomington, Indiana, 1997.
1. Midwest Several Complex Variables Conference, Ann Arbor, Michigan, 1996.
Agency: National Science Foundation
Grant title: Robust reconstruction techniques for nonuniformly sampled data, NSF DMS-1318894
Total award: $155,968
PI: Ben Adcock, Gregery T. Buzzard (substitute PI)
Agency: Schlumberger Technology Corporation
Grant title: Contamination Monitoring Algorithm, Mathematical Modeling and Algorithms
Total award: $18,913
PI: Gregery T. Buzzard
Agency: Office of Naval Research
Grant title: Digital Compressive Detection Spectroscopy: Theoretical Optimization and Experimental Implementation, N00014-13-1-0394
Total award: $397,609
PI: Bradley J. Lucier, Purdue Mathematics
Agency: National Science Foundation
Grant title: Quantitative Design of Experiments to Predictably Alter Intercellular Signaling Dynamics, DMS-0900277
Total award: $1,216,337
PI: Ann Rundell, Purdue Biomedical Engineering
Agency: Purdue University Ralph W. and Grace M. Showalter Research Trust
Grant title: Live Imaging and Computational Analysis of Bone Morphogenetic Proteins in Drosophila Embryos
Duration: 07/01/09 – 07/30/10
Total award: $75,000
PI: David Umulis, Purdue Agricultural and Biological Engineering
Agency: National Science Foundation
Grant title: Purdue Scholarship Program in Quantitative Physiology, DUE-0728668
Duration: 01/01/08 – 12/31/10
Total award: $600,000
PI: Edward Bartlett, Purdue Biomedical Engineering
Agency: National Institutes of Health (National Heart, Lung, and Blood Institute)
Grant title: Data Collection & Integration in Cardiac Risk Assessment, 1 R43 HL081687-01
Duration: 08/01/05 – 01/31/07
Total award: $137,800
PI: Gregery Buzzard
Agency: National Science Foundation
Grant title: Computational Modeling of Cardiac Electrical Response, DMS-0408293
Duration: 09/01/04 – 01/31/07
Total award: $100,000
PI: Gregery Buzzard
Agency: National Science Foundation
Grant title: Mathematical Sciences Postdoctoral Research Fellowship
Duration: 09/01/98 – 08/31/02
Total award: $90,000
PI: Gregery Buzzard
Agency: National Science Foundation
Grant title: Complex Dynamics and Classification of Algebraic Surfaces
Duration: 06/01/97 – 05/31/99
Total award: $40,000
PI: Gregery Buzzard
Ph.D. and REU Students
Philip Mummert, Ph.D. Mathematics, May 2007.
Lisa Driskell, Ph.D. Mathematics, August 2010.
Jason Bazil, Ph.D. Biomedical Engineering (joint with Ann Rundell), August 2010.
Ryan Sang Jun Lee, Ph.D. Mechanical Engineering (joint with Peter Meckl), May 2011.
Vu Dinh, Ph.D. Mathematics, December 2014.
Reginald McGee, Ph.D. Mathematics, December 2015.
Thembi Mdluli, Ph.D. candidate, Biomedical Engineering (joint with David Umulis).
Soumendu Majee, Ph.D. candidate, Electrical and Computer Eng. (joint with Charlie Bouman)
Vanda Johnson, REU student, summer 2014.
Purdue Mathematics Department
Organizer, Geometric Analysis Seminar 2002-04
Interdisciplinary course development Spring 2006
Advanced Services Committee 2007-08
Undergraduate Committee 2003-11
Scholarship Committee 2005-12
Scholarship Committee Chair 2006-12
Computer Committee 2006-12
Teaching load committee 2007-09
Founder and organizer, applied math lunch seminar 2007-12
Graduate committee 2008-12
Calculus, promotions, and head search committees 2010-11
CCAM director search committee 2011
Head of Department 2013-present
Purdue College of Science (CoS)
College of Science Cluster Hire Committee 2002-03
Research presentation to President Cordova 2009
Research presentation to CoS Alumni 2010, 2011
MLK Day activities organization: Diversity Forum and Colloquium 2014-15
University Residence Hall Faculty Fellow 2002-3, 2014-15
ADVANCE-Purdue Council of Department Heads 2013-15
ADVANCE-Purdue Diversity Committee 2015-present
Faculty advisor, Purdue Aikido Club 2012-present
Editorial Board Member, MDPI Processes 2016-present
F-GAP mentor for the National Alliance for Doctoral Studies in Mathematics 2015-present
External Review Committee, University of Cincinnati Mathematics 2016
External Review Committee, University of Nebraska Mathematics 2014
Brief Research Description
Professor Buzzard’s current research encompasses topics in cellular signaling networks, Raman spectroscopy, and measurement and reconstruction algorithms in imaging. The underlying unifying ideas are methods and algorithms for uncertainty quantification and reduction of uncertainty through appropriate measurement schemes. In conjunction with a number of collaborators, his work in these areas has led to theoretical advances in the construction of surrogate functions and the use of such functions for sensitivity analysis and experiment design, to extensions of the classical theory of optimal design of experiment, and to new algorithms for supervised classification. These theoretical advances have fueled a wide variety of applications, including novel experiment design and control methods for cellular-level control of immune cell response, a Raman spectroscopy system that significantly outperforms previous methods in the high-speed regime, and an adaptive approach for sampling images that will form the basis for future algorithms for imaging with an electron microscope.
Selected Accomplishments as Department Head
Orchestrated the successful nomination of 3 new AMS Fellows and many other awards.
Hired 15 T/TT faculty members in 4 years, including one named professor.
Reduced the standard teaching assignment for full professors from 4 to 3.5 courses per year.
Oversaw the conversion of 4 foundational math courses to use LON-CAPA for text and homework.
Coordinated the introduction and development of a Quantitative Reasoning course.
Coordinated and funded the renovation of the Math Help Rooms.
Increased summer enrollment by offering and promoting appropriate courses.
Coordinated the relocation of the National Math Alliance to Purdue: https://mathalliance.org/
Achieved inclusion in the AMS Mathematics Programs that Make a Difference (effective May 2017).
Coordinated the forum and lecture by Margot Lee Shetterly, author of Hidden Figures, 2017.
Coordinated the College of Science MLK Diversity Forum and Colloquium, 2015.
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