James V. Lambers · 2019. 4. 1. · MAT 773: Signal Analysis for Computational Science COS 702: Data Analysis Techniques 2.Stanford University CME 108/CS 137: Introduction to Scienti

James V. Lambers

School of Mathematics and Natural Sciences Phone: (601) 266-5784University of Southern Mississippi Fax: (601) 266-5818118 College Dr #5043 [email protected]

Hattiesburg, MS 39406-0001 http://www.math.usm.edu/lambers/

USA

EducationPh.D. in Scientific Computing and Computational Mathematics, September 2003Stanford University, Stanford, CA, USAAdvisers: Joseph E. Oliger and Gene H. Golub

M.S. in Scientific Computing and Computational Mathematics, June 1994Stanford University, Stanford, CA, USA

B.S. in Mathematics and Computer Science, Summa Cum Laude, May 1991Purdue University, West Lafayette, IN, USA

Faculty PositionsUniversity of Southern MississippiSchool of Mathematics and Natural Sciences

Hattiesburg, MS, USA

Professor Fall 2019–present

University of Southern MississippiDepartment of Mathematics


Associate Professor Fall 2013–Summer 2019

University of Southern MississippiDepartment of Mathematics


Assistant Professor Fall 2009–Summer 2013

Stanford UniversityEnergy Resources Engineering

Stanford, CA, USA

Acting Assistant Professor Fall 2006–Summer 2009

Research PositionsStanford UniversityDepartment of Petroleum Engineering

Stanford, CA, USA

Research Associate Fall 2004–Summer 2006Supervisor: Professor Margot G. Gerritsen. Topic: Industrial Compositional StreamlineSimulation for Efficient and Accurate Prediction of Gas Injection and WAG Processes

University of California, IrvineDepartment of Mathematics

Irvine, CA, USA

Postgraduate Researcher Summer 2003–Spring 2004Supervisors: Professor Patrick Guidotti and Professor Knut Sølna. Topic: Wave Propaga-

tion in Inhomogeneous and Random Media

Purdue UniversityDepartment of Computer Sciences

West Lafayette, IN, USA

Research Assistant Fall 1988–Spring 1991Supervisors: Professor John R. Rice, Professor Greg N. Frederickson, and Professor Franz-Erich Wolter. Topics: Graph Algorithms, Numerical Quadrature for General 2-D Domains,and Differential Geometric Modeling of Surfaces

Teaching PositionsUniversity of California, IrvineDepartment of Mathematics

Irvine, CA, USA

Lecturer Fall 2003–Fall 2004Supervisor: Paul Eklof.

Stanford UniversityDepartment of Computer Science

Stanford, CA, USA

Teaching Fellow/Teaching Assistant Winter 2001–Summer 2003Numerical Linear Algebra (CS 237A), Eigenvalue Computations (CS 339), Ten Great Al-gorithms of Scientific Computing (CS 339). Supervisors: Gene Golub and Persi Diaconis.

Iowa State UniversityDepartment of Mathematics

Ames, IA, USA

Instructor Fall 1994–Summer 1996Supervisor: E. James Peake.

Stanford UniversityDepartment of Computer Science

Stanford, CA, USA

Teaching Assistant Winter 1993–Spring 1994Courses: Compilers (CS 143), Numerical Methods for Boundary Value Problems (CS 237B),Numerical Methods for Initial Value Problems (CS 237C). Supervisors: Joe Oliger, AndrewStuart, and David Dill.

Other EmploymentStarbase Corporation Santa Ana, CA, USASenior Software Engineer March 1999–August 2002Projects: Starbase Replication Manager (lead engineer), Starbase Server 5.x for Solaris(lead engineer). Supervisor: Alan Kucheck.

Site Technologies Scotts Valley, CA, USASenior Software Engineer November 1997–March 1999Projects: SiteMaster 4.x (chief architect), SiteSweeper 2.0 Enterprise Edition. Supervisor:Ron Sauers.

Inlet Cedar Rapids, IA, USASoftware Engineer June 1996–November 1997Projects: CurrentIssue 3.0, author of compiler for its markup language for building web

applications. Supervisor: Todd Millard.

Courses Taught

1. University of Southern Mississippi

• MAT 100: Quantitative Reasoning

• MAT 102: Brief Applied Calculus

• MAT 114: Calculus for the Arts and Sciences

• MAT 167: Calculus I with Analytic Geometry

• MAT 168: Calculus II with Analytic Geometry

• MAT 169: Calculus III with Analytic Geometry

• MAT 280: Calculus IV with Analytic Geometry

• MAT 285: Introduction to Differential Equations I

• MAT 415/515: Differential Equations and Special Functions

• MAT 417/517: Introduction to Partial Differential Equations

• MAT 419/519: Optimization in Mathematical Programming

• MAT 460/560: Numerical Analysis I

• MAT 461/561: Numerical Analysis II

• MAT 492: Special Problems

• MAT 500: Mathematics Teaching Seminar

• MAT 605: Ordinary Differential Equations

• MAT 606: Partial Differential Equations

• MAT 610: Numerical Linear Algebra

• MAT 684: Topics in Applied Mathematics

• MAT 685: Topics in Computational Mathematics

• MAT 691: Research in Mathematics

• MAT 721: Mathematics for Scientific Computing II

• MAT 772: Numerical Analysis for Computational Science

• MAT 773: Signal Analysis for Computational Science

• COS 702: Data Analysis Techniques

2. Stanford University

• CME 108/CS 137: Introduction to Scientific Computing

• CME 211/ENERGY 211: C++ Programming for Earth Scientists and Engineers• CME 212: Introduction to Large Scale Computing

• CME 302: Numerical Linear Algebra

• CME 335: Advanced Topics in Numerical Linear Algebra

• CS 138: Scientific Computing with MATLAB and Maple

• CS 143: Compilers

• CS 161: Design and Analysis of Algorithms

• ENERGY 125: Modeling and Simulation

• ENERGY 281: Applied Mathematics of Reservoir Engineering

3. University of California, Irvine

• MATH 1B: Pre-Calculus

• MATH 2A: Calculus

• MATH 2B: Calculus

• MATH 6A: Discrete Mathematics

• MATH 105A: Numerical Analysis

4. Iowa State University

• MATH 142: Trigonometry• MATH 165: Single-Variable Calculus• MATH 166: Single-Variable Calculus• MATH 265: Multivariable Calculus• MATH 267: Differential Equations

Journal ArticlesScimago quartile and impact factor are taken from the year of publication, or the followingyear if the article was published during the first year of the journal’s existence.

1. J. V. Lambers, “Krylov Subspace Spectral Methods for Variable-Coefficient Initial-Boundary Value Problems”, Electronic Transactions on Numerical Analysis 20 (2005),p. 212-234.

Scimago: Q2Impact Factor: 0.7862010 ARC Journal Ranking: B

2. P. Guidotti, J. V. Lambers, and K. Sølna, “Analysis of Wave Propagation in 1DInhomogeneous Media”, Numerical Functional Analysis and Optimization 27 (2006),p. 25-55.

Percent Effort: 30%Scimago: Q3Impact Factor: 0.5122010 ARC Journal Ranking: B

3. J. V. Lambers, “Practical Implementation of Krylov Subspace Spectral Methods”,Journal of Scientific Computing 32 (2007), p. 449-476.


4. J. V. Lambers, “Derivation of High-Order Spectral Methods for Time-dependent PDEusing Modified Moments”, Electronic Transactions on Numerical Analysis 28, SpecialVolume in Honor of Gene Golub’s 75th Birthday (2008), p. 114-135.


5. M. G. Gerritsen and J. V. Lambers, “An Integration of Multilevel Local-Global Up-scaling with Grid Adaptivity”, Computational Geosciences 12 (2008), p. 193-208.

Percent Effort: 50%Scimago: Q2Impact Factor: 1.658

6. J. V. Lambers, M. G. Gerritsen, and B. T. Mallison, “Accurate Local Upscaling withVariable Compact Multi-point Transmissibility Calculations”, Computational Geo-sciences 12, Special Issue on Multiscale Methods for Flow and Transport in Hetero-geneous Porous Media (2008), p. 399-416.


7. J. V. Lambers, “Implicitly Defined High-Order Operator Splittings for Parabolic andHyperbolic Variable-Coefficient PDE Using Modified Moments”, International Jour-nal of Computational Science 2, Special Issue on Multiplicative and Additive OperatorSplitting (2008), p. 376-401.

Journal no longer in existence, no data available

8. P. Guidotti and J. V. Lambers, “Eigenvalue Characterization and Computation for theLaplacian on General 2-D Domains”, Numerical Functional Analysis and Optimization29 (2008), p. 507-531.


9. J. V. Lambers, “Enhancement of Krylov Subspace Spectral Methods Using BlockLanczos Iteration”, Electronic Transactions on Numerical Analysis 31, Special Vol-ume on Computational Methods with Applications (2008), p. 86-109.


10. J. V. Lambers, “An Explicit, Stable, High-Order Spectral Method for the Wave Equa-tion Based on Block Gaussian Quadrature”, IAENG Journal of Applied Mathematics38(4), Special Issue on the World Congress of Engineering (2008), p. 233-248.

Scimago: Q4Impact Factor: 0.1942010 ARC Journal Ranking: C

11. P. Guidotti and J. V. Lambers, “A New Nonlinear Nonlocal Diffusion For Noise Re-duction”, Journal of Mathematical Imaging and Vision 33 (2009), p. 27-35.


12. J. V. Lambers, “Krylov Subspace Spectral Methods for the Time-Dependent SchrodingerEquation with Non-Smooth Potentials”, Numerical Algorithms 51 (2009), p. 239-280.


13. J. V. Lambers, “A Spectral Time-Domain Method for Computational Electrodynam-ics”, Advances in Applied Mathematics and Mechanics 1(6) (2009), p. 781-798.

Scimago: Q3Impact Factor: 0.796

14. J. V. Lambers, “A Multigrid Block Krylov Subspace Spectral Method for Variable-Coefficient Elliptic PDE”, IAENG Journal of Applied Mathematics 39(4), SpecialIssue on the World Congress of Engineering (2009), p. 236-246.


15. T. Chen, M. Gerritsen, J. V. Lambers and L. J. Durlofsky, “Global Variable CompactMultipoint Methods for Accurate Upscaling with Full-tensor Effects”, ComputationalGeosciences 14(1) (2010), p. 65-81.


16. J. V. Lambers, “Solution of Time-Dependent PDE Through Component-wise Approx-imation of Matrix Functions”, IAENG Journal of Applied Mathematics 41(1) (2011),p. 1-10.


17. J. V. Lambers, “Explicit High-Order Time-Stepping Based on Componentwise Appli-cation of Asymptotic Block Lanczos Iteration”, Numerical Linear Algebra with Appli-cations 19(6) (2012), p. 970-991.


18. J. V. Lambers, “Approximate Diagonalization of Variable-Coefficient Differential Op-erators Through Similarity Transformations”, Computers and Mathematics with Ap-plications 64(8) (2012), p. 2575-2593.

Scimago: Q1Impact Factor: 2.7062010 ARC Journal Ranking: A

19. P. Guidotti, Y. Kim and J. V. Lambers, “Image restoration with a new class offorward-backward-forward diffusion equations of Perona-Malik type with Applicationsto Satellite Image Enhancement”, SIAM Journal on Imaging Sciences 6(3) (2013), p.1416-1444.

Percent Effort: 30%Scimago: Q1Impact Factor: 4.159Acceptance Rate: 38%

20. E. M. Palchak, A. Cibotarica and J. V. Lambers, “Solution of Time-Dependent PDEThrough Rapid Estimation of Block Gaussian Quadrature Nodes”, Linear Algebraand its Applications 468 (2015), p. 233-259.

Percent Effort: 25%Scimago: Q2Impact Factor: 1.1052010 ARC Ranking: AAcceptance Rate: 35%

21. A. Cibotarica, J. V. Lambers and E. M. Palchak, “Solution of Nonlinear Time-Dependent PDE Through Componentwise Approximation of Matrix Functions”, Jour-nal of Computational Physics 321 (2016), p. 1120-1143.

Percent Effort: 40%Scimago: Q1Impact Factor: 3.0822010 ARC Ranking: A*Acceptance Rate: 35.8%

22. M. Richardson, J. V. Lambers, “Recurrence Relations for Orthogonal Polynomialsfor PDEs in Polar and Cylindrical Geometries”, SpringerPLUS 5:1567 (2016)


23. E. M. Garon, J. V. Lambers, “Modeling the Diffusion of Heat Energy within Com-posites of Homogeneous Materials using the Uncertainty Principle”, Computationaland Applied Mathematics 37(3) (2018), p. 2566-2587.

Percent Effort: 30%Scimago: Q3Impact Factor: 0.7252010 ARC Ranking: CAcceptance Rate: 15%

24. S. Sheikholeslami and J. V. Lambers, “Modeling of first-order photobleaching ki-netics using Krylov subspace spectral methods”, Computers and Mathematics withApplications 75(6) (2018), p. 2153-2172.

Percent Effort: 35%Scimago: Q1Impact Factor: 1.8762010 ARC Ranking: AAcceptance Rate: 22.9%

25. S. D. Long, S. Sheikholeslami, J. V. Lambers and C. Walker, “Diagonalization Of 1-D Differential Operators with Piecewise Constant Coefficients using the UncertaintyPrinciple”, Mathematics and Computers in Simulation, to appear.

Percent Effort: 30%Scimago: Q2/Q3Impact Factor: 1.5302010 ARC Ranking: B

26. S. Sheikholeslami, J. V. Lambers and C. Walker, “Convergence Analysis of KrylovSubspace Spectral Methods for Reaction-Diffusion Equations”, Journal of ScientificComputing, to appear.

Percent Effort: 45%Scimago: Q1Impact Factor: 1.7042010 ARC Ranking: B

Refereed Conference Papers

1. J. V. Lambers, “Krylov Subspace Spectral Methods for Systems of Variable-CoefficientPDE”, American Institute of Physics Conference Proceedings 936, Proceedings ofthe Fifth International Conference on Numerical Analysis and Applied Mathematics,Corfu, Greece (2007), p. 332-335.

2. J. V. Lambers, “Implicitly Defined High-Order Operator Splittings for Parabolic andHyperbolic Variable-Coefficient PDE Using Modified Moments”, Proceedings of the2008 World Congress on Engineering, London (Winner, Best Paper Award, 2008International Conference on Applied and Engineering Mathematics).

3. J. V. Lambers, “Enhancement of Krylov Subspace Spectral Methods Using BlockLanczos Iteration”, American Institute of Physics Conference Proceedings, Proceed-ings of the Sixth International Conference on Numerical Analysis and Applied Math-ematics, Kos, Greece (2008), p. 347-350.

4. J. V. Lambers, “A Spectral Time-Domain Method for Computational Electrodynam-ics”, Proceedings of the 2009 International Multiconference of Engineers and Com-puter Scientists, Hong Kong.

5. J. V. Lambers, “Block Krylov Subspace Spectral Methods for Variable-CoefficientElliptic PDE”, Proceedings of the 2009 World Congress on Engineering, London.

6. K. T. Chu, J. V. Lambers, “Using Optimal Time Step Selection to Boost the Accu-racy of FD Schemes for Variable Coefficient PDEs”, Proceedings of the 2009 WorldCongress on Engineering, London.

7. J. V. Lambers, “A Spectral Time-Domain Method for Computational Electrodynam-ics”, Proceedings of the 8th European Conference on Numerical Mathematics and Ad-vanced Applications, Uppsala, 2009.

8. J. V. Lambers, “A Spectral Time-Domain Method for Computational Electrodynam-ics”, Proceedings of the 7th International Conference on Numerical Analysis and Ap-plied Mathematics, Crete, Greece (2009), p. 1192-1195.

9. J. V. Lambers, “Spectral Methods for Time-dependent Variable-coefficient PDE Basedon Block Gaussian Quadrature”, Spectral and High Order Methods for Partial Differ-ential Equations: Selected papers from the ICOSAHOM ’09 conference, June 22-26,Trondheim, Norway, Jan S. Hesthaven and Einar M. Rønquist, eds., Lecture Notes inComputational Science and Engineering (2010), p. 429-440.

10. J. V. Lambers, “Krylov Subspace Spectral Methods for the Time-Dependent SchrodingerEquation with Non-Smooth Potentials”, Proceedings of the 2010 International Multi-Conference of Engineers and Computer Scientists, Hong Kong (Winner, Best PaperAward, 2010 International Conference of Scientific Computing).

11. J. V. Lambers, “Spectral Methods for Time-dependent Variable-coefficient PDE Basedon Block Gaussian Quadrature”, Proceedings of the 2010 World Congress on Engi-neering, London.

12. J. V. Lambers, “High-order Time-stepping for Galerkin and Collocation MethodsBased on Component-wise Approximation of Matrix Functions”, Proceedings of the2011 World Congress on Engineering, London.

13. H. Dozier, J. V. Lambers, “Multigrid Krylov Subspace Spectral Methods for SolvingTime-Dependent, Variable Coefficient PDEs”, Spectral and High Order Methods forPartial Differential Equations: ICOSAHOM 2016, M. L. Bittencourt, N. A. Dumont,and J. S. Hesthaven, eds. (2017). Acceptance Rate: 65%.

Non-refereed Conference Papers

1. J. V. Lambers, M. G. Gerritsen, “An Integration of Multilevel Local-Global Upscalingwith Grid Adaptivity”, Proceedings of the SPE Annual Technical Conference andExhibition, Dallas, 2005, SPE 97250.

2. M. G. Gerritsen, K. Jessen, B. T. Mallison, and J. V. Lambers, “A Fully AdaptiveStreamline Framework for the Challenging Simulation of Gas-Injection Processes”,Proceedings of the SPE Annual Technical Conference and Exhibition, Dallas, 2005,SPE 97270.

3. M. G. Gerritsen, J. V. Lambers, and B. T. Mallison, “A Variable and Compact MPFAfor Transmissibility Upscaling with Guaranteed Monotonicity”, Proceedings of the10th European Conference on the Mathematics of Oil Recovery, Amsterdam, 2006.

4. J. V. Lambers, “Recent Advances in Krylov Subspace Spectral Methods”, Proceedingsin Applied Mathematics and Mechanics 7, No. 1, Proceedings of the Sixth Interna-tional Congress on Industrial and Applied Mathematics, Zurich (2007), p. 2020143-2020144.

5. J. V. Lambers, “Recent Advances in Krylov Subspace Spectral Methods”, Interna-tional Journal on Pure and Applied Mathematics 42, No. 4, Proceedings of the FourthInternational Conference on Applied Mathematics and Computing, Plovdiv, Bulgaria(2007), p. 495-500.

6. J. V. Lambers, M. G. Gerritsen, “Spatially-Varying Compact Multi-Point Flux Ap-proximations for 3-D Adapted Grids with Guaranteed Monotonicity”, Proceedingsof the 2008 ASME International Mechanical Engineering Congress and Exposition,Boston, in press.

7. J. V. Lambers, M. G. Gerritsen, “Spatially-varying Compact Multi-point Flux Ap-proximations for 3-D Adapted Grids with Guaranteed Monotonicity”, Proceedings ofthe 11th European Conference on the Mathematics of Oil Recovery, Bergen, 2008.

8. J. V. Lambers, M. G. Gerritsen, and D. Fragola, “Multiphase, 3-D Flow Simulationwith Integrated Upscaling, MPFA Discretization, and Adaptivity”, Proceedings of theSPE Reservoir Simulation Symposium, The Woodlands, Texas, 2009, SPE 118983.

9. T. Chen, M. G. Gerritsen, L. J. Durlofsky, and J. V. Lambers, “Adaptive local-globalVCMP methods for coarse-scale reservoir modeling”, Proceedings of the SPE ReservoirSimulation Symposium, The Woodlands, Texas, 2009, SPE 118994.

10. J. V. Lambers, “Implicitly Defined High-Order Operator Splittings for Parabolic andHyperbolic Variable-Coefficient PDE Using Modified Moments”, International Jour-nal on Pure and Applied Mathematics 50, No. 2, Proceedings of the Fifth Interna-tional Conference on Applied Mathematics and Computing, Plovdiv, Bulgaria (2009),p. 239-244.

11. J. V. Lambers, “High-Order Time-Stepping for Nonlinear PDE through Rapid Esti-mation of Block Gaussian Quadrature Nodes”, Proceedings of the 12th InternationalConference on Numerical Analysis and Applied Mathematics, Rhodes, Greece (2014).

12. J. V. Lambers, “High-Order Time-Stepping for Nonlinear PDE through Rapid Esti-mation of Block Gaussian Quadrature Nodes”, Proceedings of the 13th InternationalConference on Numerical Analysis and Applied Mathematics, Rhodes, Greece (2015).

Books

1. J. V. Lambers and A. C. Sumner, Explorations in Numerical Analysis, World ScientificPublishing, to be printed September 2018.

Book Chapters

1. J. V. Lambers, “Coarse-scale Modeling of Flow in Gas-injection Processes for En-hanced Oil Recovery”, Multiscale Modeling and Simulation in Science, Lecture Notesin Computational Science and Engineering 66 (2009), p. 303-306.

2. J. V. Lambers, “Application of Block Krylov Subspace Spectral Methods to Maxwell’sEquations”, IAENG Transactions on Engineering Technologies 3 (2010)

3. J. V. Lambers, “Block Krylov Subspace Spectral Methods for Variable-CoefficientElliptic PDE”, Current Themes in Engineering Science (2010)

4. J. V. Lambers, A. Cibotarica, E. M. Palchak, “Matrices, Moments and Quadrature:Applications to Time-Dependent PDE”, Applied Linear Algebra in Action, V. N. Kat-sikis ed. (2016)

Technical Reports

1. J. V. Lambers and J. R. Rice, Numerical Quadrature for General Two-DimensionalDomains, Purdue University Technical Report CSD-TR-91-067, 1991.

2. J. V. Lambers, QUAD2D: A Two-Dimensional Quadrature Routine, Purdue Univer-sity Technical Report CSD-TR-91-069, 1991.

3. G. R. Kreiss, W. Sawyer, J. V. Lambers, et al. Computation of Eigenvalues of Burger’sEquation, Swiss Scientific Computing Center Technical Report, 1992.

Sponsored Research

1. M. G. Gerritsen (PI) and J. V. Lambers (Senior Personnel), “Carbon sequestrationin saline aquifers / Grid Adaptation for Reservoir Simulation”, Computer ModelingGroup, 2004-2005, $40,000

2. M. G. Gerritsen (PI), L. J. Durlofsky (Co-PI) and J. V. Lambers (Senior Person-nel), “Upscaling Methods for General Grid Structures”, British Petroleum, 2004-2006,$120,000

3. P. Guidotti (PI) and J. V. Lambers (Senior Personnel), “Nonlinear Diffusions andImage Processing”, NSF Award 0712875, 2007-2010, $270,428.

4. J. V. Lambers (PI), “Collaboration Grant Proposal for James V. Lambers”, SimonsFoundation Award 524382, 2017-2022, $42,000.

Presentations

1. Multiresolution Methods for Variable-Coefficient Initial Value Problems, Midwest Nu-merical Analysis Day, University of Iowa, 1995

2. Multiresolution Methods for Variable-Coefficient Initial Value Problems, Applied MathSeminar, Iowa State University, 1996

3. Numerical Quadrature for General 2D Domains, Applied Math Seminar, Iowa StateUniversity, 1996

4. Krylov Subspace Methods for Variable-Coefficient Initial-Boundary Value Problems,Mathematics Colloquium, University of New Orleans, April 2003

5. Krylov Subspace Methods for Variable-Coefficient Initial-Boundary Value Problems,SCCM Seminar, Stanford University, April 2003

6. Krylov Subspace Spectral Methods for Variable-Coefficient Initial-Boundary Value Prob-lems, Computational and Applied Mathematics Seminar, University of California atIrvine, December 2003

7. Krylov Subspace Spectral Methods for Variable-Coefficient Initial-Boundary Value Prob-lems, Southern California Applied Mathematics Symposium, Harvey Mudd College,Claremont, CA, April 2004

8. Krylov Subspace Spectral Methods for Variable-Coefficient Initial-Boundary Value Prob-lems, SIAM Annual Meeting, Portland, OR, July 2004

9. An Integration of Multilevel Local-Global Upscaling with Grid Adaptivity, StanfordUniversity School of Earth Sciences Research Review, April 2005

10. An Integration of Multilevel Local-Global Upscaling with Grid Adaptivity, StanfordUniversity Petroleum Research Institute Industrial Affiliates Meeting, May 2005

11. Eigenvalue Characterization and Computation for the Laplacian on General Domains,SIAM Annual Meeting, New Orleans, July 2005

12. An Integration of Multilevel Local-Global Upscaling with Grid Adaptivity, Society ofPetroleum Engineers Annual Technical Conference and Exhibition, Dallas, October2005

13. Eigenvalue Characterization and Computation for the Laplacian on General Domains,and its Application to Inverse Spectral Problems, AMS/MAA Joint Annual Meeting,San Antonio, January 2006

14. Fun (and Challenging!) Problems Concerning Variable-Coefficient Differential Oper-ators, Linear Algebra Seminar, Stanford University, January 2006

15. Eigenvalue Characterization and Computation for the Laplacian on General Domains,and its Application to Inverse Spectral Problems, Linear Algebra Seminar, StanfordUniversity, April 2006

16. A Multi-Pronged Research Strategy for Numerical Solution of Variable-CoefficientPDE: Recent Successes and Upcoming Challenges, CCT Computing the Future Sem-inar Series, Louisiana State University, April 2006 (invited)

17. Diagonalizing Similarity Transformations for Variable-Coefficient Differential Opera-tors, AMS Western Section Meeting, San Francisco, April 2006

18. Adaptive Pressure Solves: on Specialized Upscaling and Faults, Stanford UniversityPetroleum Research Institute Industrial Affiliates Meeting, May 2006

19. Diagonalizing Similarity Transformations for Variable-Coefficient Differential Opera-tors, SIAM Conference on Analysis of PDE, Boston, July 2006

20. Krylov Subspace Spectral Methods for Conservation Laws, SIAM Annual Meeting,Boston, July 2006

21. Derivation of High-Order Methods for Time-Dependent PDE using Modified Mo-ments, GAMM-SIAM Applied Linear Algebra Meeting, Dusseldorf, Germany, July2006 (minisymposium co-organizer, “Applications of Moments”)

22. The Evolution of Krylov Subspace Spectral Methods (Or: How the Work of Gene Goluband Joe Oliger Collided), Applied Mathematics Seminar, Stanford, December 2006

23. Transmissibility upscaling with compact, spatially varying multi-point flux stencils,SIAM Conference on Mathematical and Computational Issues in the Geosciences,Santa Fe, March 2007

24. The Evolution of Krylov Subspace Spectral Methods (Or: How the Ideas of Gene Goluband Joe Oliger Collided), Stanford 50 Conference, March 2007 (as winner of postercompetition)

25. Stability of Krylov Subspace Spectral Methods, AMS Western Section Meeting, Tucson,April 2007

26. Transmissibility upscaling on Adapted Grids for Gas Injection Processes, SummerSchool on Multiscale Modeling and Simulation in Science, Stockholm, Sweden, June2007 (invited)

27. Recent Advances in Krylov Subspace Spectral Methods, ICOSAHOM 2007, Beijing,June 2007

28. Recent Advances in Krylov Subspace Spectral Methods, ICIAM 2007, Zurich, Switzer-land, July 2007

29. Recent Advances in Krylov Subspace Spectral Methods, 4th International Conferenceof Applied Mathematics and Computing, Plovdiv, Bulgaria, August 2007

30. Stability of Krylov Subspace Spectral Methods, Harrachov ’07 (Computational Methodswith Applications), Harrachov, Czech Republic, August 2007

31. Transmissibility Upscaling on Adapted Cartesian Grids with Compact, Spatially Vary-ing Multi-point Flux Stencils, Universities Forum on Reservoir Description and Sim-ulation, Scarborough, England, September 2007

32. The Evolution of Krylov Subspace Spectral Methods, Applied Mathematics Seminar,University of Edinburgh, September 2007 (invited)

33. Krylov Subspace Spectral Methods for Systems of Variable-Coefficient PDE, ICNAAM2007, Corfu, Greece, September 2007

34. Krylov Subspace Spectral Methods for Hyperbolic Systems, SIAM Conference on Anal-ysis of PDE, Phoenix, December 2007

35. Implicitly Defined High-Order Operator Splittings for Time-Dependent Variable-CoefficientPDE Using Modified Moments, Bay Area Scientific Computing Day 2008, Berkeley,March 2008

36. Implicitly Defined High-Order Operator Splittings for Time-Dependent Variable-CoefficientPDE Using Modified Moments, Linear Algebra Seminar, Stanford University, April2008

37. Transmissibility Upscaling on Adapted Cartesian Grids with Compact, Spatially Vary-ing Multi-point Flux Stencils, ERE Seminar, Stanford University, April 2008

38. Robust Computation of Off-Diagonal Elements of Functions of Matrices, Householder’08, Berlin, Germany, June 2008 (highly selective)

39. Matrices, Moments, and Quadrature...and now, PDE!, FoCM ’08, Hong Kong, June2008 (highly selective)

40. Implicitly Defined High-Order Operator Splittings for Time-Dependent Variable-CoefficientPDE Using Modified Moments, World Congress on Engineering, London, July 2008

41. Enhancement of Krylov Subspace Spectral Methods by Block Lanczos Iteration, SIAMAnnual Meeting, San Diego, July 2008

42. Two Novel Nonlocal Nonlinear Diffusions for Image Denoising II, SIAM Conferenceon Imaging Science, San Diego, July 2008

43. Implicitly Defined High-Order Operator Splittings for Time-Dependent Variable-CoefficientPDE Using Modified Moments, 5th International Conference of Applied Mathematicsand Computing, Plovdiv, Bulgaria, August 2008

44. Spatially-varying Compact Multi-point Flux Approximations for 3-D Adapted Gridswith Guaranteed Monotonicity, ECMOR XI, Bergen, Norway, September 2008

45. Enhancement of Krylov Subspace Spectral Methods by Block Lanczos Iteration, IC-NAAM ’08, Kos, Greece, September 2008

46. Spatially-varying Compact Multi-point Flux Approximations for 3-D Adapted Gridswith Guaranteed Monotonicity, ASME Congress, Boston, November 2008

47. A Spectral Time-Domain Method for Computational Electrodynamics, 3rd Interna-tional Conference on Scientific Computing and Differential Equations, Hong Kong,December 2008

48. Multiphase, 3-D Flow Simulation with Integrated Upscaling, MPFA Discretization,and Adaptivity, SPE Reservoir Simulation Symposium, The Woodlands, Texas, Febru-ary 2009 (highly selective)

49. A Spectral Time-Domain Method for Computational Electrodynamics, InternationalMulticonference of Engineers and Computer Scientists, Hong Kong, March 2009

50. Upscaling for Multiphase Flow on 3-D Adapted Grids, SIAM Conference on Mathe-matical and Computational Issues in the Geosciences, Leipzig, Germany, June 2009

51. A Spectral Time-Domain Method for Computational Electrodynamics, ENUMATH,Uppsala, Sweden, June 2009

52. Block Krylov Subspace Spectral Methods for Variable-Coefficient Elliptic PDE, WorldCongress on Engineering, London, July 2009

53. A Spectral Time-Domain Method for Computational Electrodynamics, SIAM AnnualMeeting, Denver, July 2009

54. Multiphase Flow Simulation with Integrated Upscaling, MPFA Discretization, andAdaptivity, IMACS, Athens, Georgia, August 2009 (invited)

55. A Spectral Time-Domain Method for Computational Electrodynamics, ICNAAM ’09,Crete, Greece, September 2009 (invited)

56. Multiphase, 3-D Flow Simulation with Integrated Upscaling, MPFA Discretization,and Adaptivity, SUPRI-C Seminar, Stanford, Jan 2010

57. A Crash Course on Matrices, Moments and Quadrature, Linear Algebra/OptimizationSeminar, Stanford, January 2010

58. A Spectral Time-Domain Method for Computational Electrodynamics, AMS/MAAJoint Mathematics Meetings, San Francisco, January 2010

59. A Crash Course on Matrices, Moments and Quadrature, School of Computing Semi-nar, USM, January 2010

60. A Crash Course on Matrices, Moments and Quadrature, Oberseminar ComputationalMathematics, Universitat Kassel (Germany), March 2010 (invited)

61. Krylov Subspace Spectral Methods for the Time-Dependent Schrodinger Equation withNon-smooth Potentials, International MultiConference for Engineers and ComputerScientists, Hong Kong, March 2010

62. A Crash Course on Matrices, Moments and Quadrature, Applied Mathematics Semi-nar, University of California Irvine, May 2010

63. A Crash Course on Matrices, Moments and Quadrature, Analysis Seminar, DrexelUniversity, May 2010 (invited)

64. Component-wise Approximation of Matrix Functions via Block Gaussian Quadrature,2nd IMA Conference on Numerical Linear Algebra and Optimisation, Birmingham,England, September 2010

65. Spectral Methods for Time-Dependent PDE Based on Block Gaussian Quadrature, 3rdInternational Conference on Numerical Algebra and Scientific Computing, Beijing,October 2010

66. Solution of time-dependent PDEs through component-wise approximation of matrixfunctions, Linear Algebra/Optimization Seminar, Stanford, March 2011

67. Spectral Methods for Time-Dependent PDE Based on Block Gaussian Quadrature,2011 Bay Area Scientific Computing Day, Stanford, May 2011 (invited)

68. Solution of time-dependent PDEs through component-wise approximation of matrixfunctions, ICIAM ’11, Vancouver, July 2011

69. Solution of time-dependent PDEs through component-wise approximation of matrixfunctions, Fall 2011 AMS Southeastern Section Meeting, Winston-Salem, September2011

70. A Crash Course on Matrices, Moments and Quadrature, Applied Mathematics Semi-nar, University of California Merced, November 2011 (invited)

71. Solution of time-dependent PDEs through component-wise approximation of matrixfunctions, AMS/MAA Joint Mathematics Meetings, Boston, January 2012

72. High-Order Time-Stepping Methods for Nonlinear PDE Based on Componentwise Ex-ponential Integrators, Linear Algebra/Optimization Seminar, Stanford, March 2012(invited)

73. A Crash Course on Matrices, Moments and Quadrature, Graduate Mathematics Sem-inar, Linyi University (China), May 2012 (invited)

74. Anti-Differential Operators: An Application of the Pseudo-Inverse, Linear Algebra/OptimizationSeminar, Stanford, October 2012 (invited)

75. A Crash Course on Matrices, Moments and Quadrature, Maseeh Mathematics &Statistics Colloquium Series, Portland State University, November 2012 (invited)

76. Three Effective Compromises in Numerical Analysis, Linear Algebra/OptimizationSeminar, Stanford, January 2013 (invited)

77. Solution of Time-Dependent PDE Through Component-wise Approximation of Ma-trix Functions, 2013 SIAM Conference on Computational Science and Engineering,Boston, February 2013 (invited)

78. Approximate Diagonalization of Variable-Coefficient Differential Operators ThroughSimilarity Transformations, 2013 AMS Spring Southeastern Section Meeting, Oxford,March 2013

79. Explicit High-Order Time Stepping Based on Componentwise Application of Asymp-totic Block Lanczos Iteration, 18th Conference of the International Linear AlgebraSociety, Providence, June 2013

80. Anti-Differential Operators: An Application of the Pseudo-Inverse, 2013 SIAM An-nual Meeting, San Diego, July 2013

81. Numerical Implementation of a New Class of Forward-backward-forward DiffusionEquations for Image Restoration, 2013 SIAM Conference on Analysis of PDE, Or-lando, December 2013 (invited)

82. A Parallel Approach to the Solution of PDE Through Componentwise Approxima-tion of Matrix Functions, 2014 SIAM Conference on Parallel Processing for ScientificComputing, Portland, February 2014

83. High-Order Time-Stepping for Nonlinear PDE through Rapid Estimation of BlockGaussian Quadrature Nodes, UC Merced Applied Math Seminar, April 2014 (invited)

84. Numerical Implementation of a New Class of Forward-backward-forward DiffusionEquations for Image Restoration, 2014 SIAM Conference on Imaging Science, HongKong, May 2014

85. High-Order Time-Stepping for Nonlinear PDE through Rapid Estimation of BlockGaussian Quadrature Nodes, ICOSAHOM 2014, Salt Lake City, June 2014

86. Three Effective Compromises in Numerical Analysis, School of Computing Seminar,USM, September 2014

87. High-Order Time-Stepping for Nonlinear PDE through Rapid Estimation of BlockGaussian Quadrature Nodes, ICNAAM ’14, Rhodes, Greece, September 2014 (invited)

88. Approximate Diagonalization of Variable-Coefficient Differential Operators ThroughSimilarity Transformations, 2014 AMS Fall Southeastern Section Meeting, Greens-boro, November 2014

89. Approximate Diagonalization of Variable-Coefficient Differential Operators ThroughSimilarity Transformations, 2015 Joint Mathematics Meetings, San Antonio, January2015

90. Image Restoration through Forward-backward-forward Diffusion, MAA LA/MS Sec-tion Meeting, USM Gulf Coast, February 2015

91. Numerical Implementation of a New Class of Forward-backward-forward DiffusionEquations for Image Restoration, SIAM Conference on Computational Science andEngineering, Salt Lake City, March 2015

92. High-Order Time-Stepping through Rapid Estimation of Block Gaussian QuadratureNodes, SIAM Southeastern Section Meeting, Birmingham, March 2015

93. A Crash Course on Matrices, Moments and Quadrature, Department of MathematicsColloquium, USM, March 2015

94. Solution of Nonlinear Time-Dependent PDE Through Componentwise Approximationof Matrix Functions, SIAM Central Section Meeting, Rolla, MO, April 2015

95. Approximation of the Scattering Amplitude Using Nonsymmetric Saddle Point Matri-ces, Linear Algebra/Optimization Seminar, May 2015

96. Componentwise Time-Stepping for Radially Symmetric PDE, SIAM Conference onComputational Issues in the Geosciences, Stanford, July 2015

97. Explicit High-Order Time-Stepping Based on Componentwise Application of Asymp-totic Block Lanczos Iteration, ICIAM 2015, Beijing, China, August 2015

98. High-Order Time-Stepping for Nonlinear PDE through Rapid Estimation of BlockGaussian Quadrature Nodes, ICNAAM ’15, Rhodes, Greece, September 2015 (invited)

99. High-Order Time-Stepping for Nonlinear PDE through Componentwise Approxima-tion of Matrix Functions, SIAM Conference on Analysis of PDEs, Scottsdale, AZ,December 2015 (invited)

100. Solution of Time-Dependent Nonlinear PDE Through Component-Wise Approxima-tion of Matrix Functions, 2016 Joint Mathematics Meetings, Seattle, January 2016

101. Approximation of the Scattering Amplitude Using Nonsymmetric Saddle Point Matri-ces, 14th Copper Mountain Conference on Iterative Methods, Copper Mountain, CO,March 2016

102. A Crash Course on Matrices, Moments and Quadrature, Linear Algebra/OptimizationSeminar, Stanford, May 2016

103. Scalable High-Order Time-Stepping Using Componentwise Approximation of MatrixFunctions, International Conference on Applied Mathematics, Hong Kong, May 2016

104. Scalable Time-Stepping for Stiff Nonlinear PDEs through Componentwise Approxi-mation of Matrix Functions, International Conference on Spectral and High-OrderMethods, Rio de Janeiro, June 2016

105. High-Order Time-Stepping for Nonlinear PDEs Through Componentwise Approxima-tion of Matrix Functions, SIAM Annual Meeting, Boston, July 2016 (invited)

106. Approximation of the Scattering Amplitude Using Nonsymmetric Saddle Point Matri-ces, 5th IMA Conference on Numerical Linear Algebra and Optimisation, Birming-ham, England, September 2016

107. Fast Algorithms for Jacobi Matrices from Modification by Rational Functions, SIAMConference on Computational Science and Engineering, Atlanta, February 2017

108. Automatic Construction of Scalable Time-Stepping Methods for Stiff PDEs, SIAMConference on Computational Science and Engineering, Atlanta, February 2017

109. Three Effective Compromises in Numerical Analysis, Department of Mathematics Col-loquium, USM, March 2017

110. Scalable Computation of Matrix Functions for Time-Dependent PDEs Through Asymp-totic Analysis of Block Krylov Projection, SIAM Annual Meeting, July 2017

111. Componentwise Time-stepping for Radially Symmetric PDEs, SIAM Conference onComputational Issues in the Geosciences, Erlangen, Germany, September 2017

112. Three Effective Compromises in Numerical Analysis, U. S. Army Engineer Researchand Development Center Seminar, Vicksburg, MS, November 2017 (invited)

113. Rapid Computation of Jacobi Matrices from Modification by Rational Weight Func-tions, Conference on Scientific Computing and Approximation, Purdue University,March 2018

114. Scalable High-Order Time-Stepping via Krylov Subspace Spectral Methods, Interna-tional Conference on Spectral and High-Order Methods, London, July 2018

115. Three Effective Compromises in Numerical Analysis, Naval Research Laboratory,NASA Stennis Space Center, August 2018 (invited)

Software

• MATLAB implementation of 1-node block KSS method for variable-coefficient heatand wave equations, with periodic boundary conditions, in 1-D and 2-D.Available at http://www.math.usm.edu/lambers/code.html

• MATLAB implementation of 1-node block KSS method for nonlinear diffusion equa-tion for denoising grayscale images and signals.Available at http://www.math.usm.edu/lambers/code.html

Supervised Students

• Alexandru Cibotarica, PhD 2015. Project: High-Order Time-Stepping for NonlinearPDE Through Componentwise Approximation of Matrix Functions

• Megan Richardson, PhD 2017. Project: Krylov Subspace Spectral Methods for Time-Dependent PDE on Circular Domains

• Somayyeh Sheikholeslami, PhD 2017. Project: Approximate Analytical Solutions ofModels for Fluorescence Redistribution after Photobleaching

• Amber Sumner, PhD 2018. Project: Rapidly Convergent Iterative Methods for LargeSparse Nonsymmetric Systems

• James Quinlan, PhD 2019. Project: Variable Compact Multi-point Flux Approxima-tion for 3-D Domains

• Brianna Bingham, PhD 2019. Project: Krylov Subspace Spectral Methods for Navier-Stokes in Cylindrical Geometries

• Haley Dozier, PhD 2019. Project: Multigrid Krylov Subspace Spectral Methods

• Eva Comino, PhD 2019. Project: High-Order Methods for Denoising of Color Imagesvia Nonlinear Diffusion

• Keelia Altheimer, PhD 2020. Project: Sensitivity Analysis of Guass Quadrature Rulesfor the Approximation of Bilinear Forms Involving Matrix Functions

• Daniel Lanterman, MS 2012. Project: Approximation of Elements of Exponentials ofDifferential Operators Using Rational Quadrature

• Lisa Palchak, MS 2012. Project: Rapid Approximation of Bilinear Forms InvolvingMatrix Functions Through Asymptotic Analysis of Gaussian Node Placement

• Eva Comino, MS 2012. Project: Numerical Integration over General Two-dimensionalDomains Through Curvature-based Domain Decomposition

• Amber Sumner, MS 2014. Project: Approximation of the Scattering Amplitude usingNonsymmetric Saddle Point Matrices

• Haley Dozier, MS 2016. Project: Multigrid Krylov Subspace Spectral Methods

• Abdullah Aurko, MS 2017. Project: Eigenfunctions of 2-D Differential Operatorswith Piecewise Constant Coefficients

• Vivian Montiforte, MS 2018. Project: Automatic Construction of Scalable Time-Stepping Methods for Stiff PDEs

• Tavish Kelly, MS 2018: Project: Testing the Scalability of Kiyotaki-Wright Simulationof a Barter Economy

• Abbie Hendley, MS 2019. Project: Krylov Subspace Spectral Methods for PDEs withNon-homogeneous Boundary Conditions

• Corey Yeates, BS 2013 (co-adviser with Jeremy Lyle). Project: Sequence-Based Cryp-tography

• Elyse Garon, BS 2015. Project: Modeling the Diffusion of Heat Energy within Com-posites of Homogeneous Materials using the Uncertainty Principle

• Linh Johnson, BS 2017. Project: Efficient Enhancement of High-Resolution ColorImages through Nonlinear Diffusion

• Sarah Long, BS 2017. Project: Eigenfunctions of Differential Operators with Piece-wise Constant Coefficients

• Carley Walker, BS 2018. Project: Scalable Simulation of Physical Phenomena inSmoothly Varying Media

• Chuan Chen, BS 2019. Project: Spectral Methods for Free-Boundary PDEs in Fi-nancial Mathematics

• Aaditya Kharel, BS 2020. Project: Sharpening of Blurred Text Images via NonlinearDiffusion

Honors and Awards

• Mentor for Eagle Wings Grant Winner Chuan Chen, Fall 2017

• Summer Grant for the Improvement of Instruction, Summer 2017

• Outstanding Thesis Adviser, Honors College, Spring 2017

• Mentor for Drapeau Summer Grant for Undergraduate Research Winner Chuan Chen,2017

• Assessment Commendation by USM Office of Institutional Effectiveness for Compu-tational Science PhD Program, 2016

• Mentor for Eagle Scholar Program for Undergraduate Research Award Winner SarahLong, Fall 2016

• Assessment Commendation by USM Office of Institutional Effectiveness for Mathe-matics MS Program, 2015

• Outstanding Thesis Adviser, Honors College, Spring 2015

• Mentor for Eagle Scholar Program for Undergraduate Research Award Winner ElyseGaron, Spring 2014

• Aubrey Keith Lucas and Ella Ginn Lucas Endowment Award for Faculty Excellence,2013-2014

• Assessment Commendation by USM Office of Institutional Effectiveness for Mathe-matics MS Program, 2013

• Assessment Commendation by USM Office of Institutional Effectiveness for Compu-tational Sciences PhD Program, 2012

• Winner, Best Paper Award, 2010 International Conference on Scientific Computing,International MultiConference of Engineers and Computer Scientists

• Winner, Best Paper Award, 2008 International Conference on Applied and Engineer-ing Mathematics, World Congress of Engineering

• Winner, Junior Scientist Category, Stanford 50 Conference Poster Competition, 2007• Professor of the Month, UCI Campus Village, December 2004

• Professor Recognition, Delta Delta Delta, UC Irvine chapter, May 2004

• Teacher of the Month, Kappa Alpha Delta, UC Irvine chapter, February 2004

• Professor Recognition, Pi Beta Phi, UC Irvine chapter, Fall quarter 2003

Professional Memberships

• American Mathematical Society

• Society for Industrial and Applied Mathematics

• Mathematical Association of America

University Service (USM)

• Director of Graduate Studies, Department of Mathematics, 2010-

• Graduate Council, 2012-15 (Chair, Policies & Procedures Committee, 2012-13; Coun-cil Chair-Elect, 2013-14; Council Chair, 2014-15)

• Faculty Senate, 2013-16 (Chair, Handbook Committee, 2013-14)

• Honors Admissions Committee, 2015-

• Faculty Adviser, SIAM Student Chapter, 2014-

• E-learning Committee, 2013-

• University Assessment Committee, 2013-14

• Lucas Endowment Committee, 2013, 2017

• College of Science and Technology Research Committee, 2012-15

• Search Committee Chair, Cross Endowed Chair in Undergraduate Research, 2015-16

• Doctoral Dissertation Committee, James Quinlan, 2017- (chair)

• Doctoral Dissertation Committee, Amber Sumner, 2017-2018 (chair)

• Doctoral Dissertation Committee, Somayyeh Sheikholeslami, 2016-2017 (chair)

• Doctoral Dissertation Committee, Andrew Maxwell, 2016-

• Doctoral Dissertation Committee, Anup Lamichhane, 2015-2016

• Doctoral Dissertation Committee, Tulsi Upadhyay, 2015-

• Doctoral Dissertation Committee, Corey Jones, 2014-2015

• Doctoral Dissertation Committee, Eowyn Cenek, 2012-13 (chair)

• Doctoral Dissertation Committee, Lei-Hsin Kuo, 2011-2015

• Doctoral Dissertation Committee, Alexandru Cibotarica, 2011-2015 (chair)

• Doctoral Dissertation Committee, Megan Richardson, 2011-2017 (chair)

• Doctoral Dissertation Committee, Jeanette Monroe, 2010-2014

• Master’s Thesis Committee, Abbie Hendley, 2018 (chair)

• Master’s Thesis Committee, Tavish Kelly, 2018 (chair)

• Master’s Thesis Committee, Vivian Montiforte, 2017-2018 (chair)

• Master’s Thesis Committee, Abdullah Aurko, 2017 (chair)

• Master’s Thesis Committee, Haley Dozier, 2016 (chair)

• Master’s Thesis Committee, Patrick Lambert, 2015

• Master’s Thesis Committee, Amber Sumner, 2014 (chair)

• Master’s Thesis Committee, Jan Burmeister, 2014

• Master’s Thesis Committee, Eva Comino, 2012 (chair)

• Master’s Thesis Committee, Thir Raj Dangal, 2012

• Master’s Thesis Committee, Daniel Lanterman, 2012 (chair)

• Master’s Thesis Committee, Elisabeth Palchak, 2012 (chair)

• Master’s Thesis Committee, Jaeyoun Oh Roberts, 2012

• Master’s Thesis Committee, Alexandru Cibotarica, 2011

• Master’s Thesis Committee, Deanna Leggett, 2010

• Master’s Comprehensive Examination Committee, Amber DesRosiers, 2017

• Master’s Comprehensive Examination Committee, Elyse Garon, 2017 (chair)

• Master’s Comprehensive Examination Committee, Candice Mitchell, 2017

• Master’s Comprehensive Examination Committee, Nikesh Singh, 2017 (chair)

• Master’s Comprehensive Examination Committee, Stephanie Floyd, 2016 (chair)

• Master’s Comprehensive Examination Committee, Corey Yeates, 2016 (chair)

• Master’s Comprehensive Examination Committee, James Boffenmyer, 2014 (chair)

• Master’s Comprehensive Examination Committee, Raymond Hanser, 2009

University Service (Stanford)

• Doctoral Dissertation Reading Committee, Tianhong Chen, Department of EnergyResources Engineering, Stanford University, 2008

• Doctoral Dissertation Oral Examination Committee, David Amsallem, Departmentof Aeronautics and Astronautics, Stanford University, 2009

• Doctoral Dissertation Oral Examination Committee, Paul Constantine, Institute forComputational and Mathematical Engineering, Stanford University, 2009

• Organizing Committee, “Symposium on Gene Golub’s Legacy”, Stanford, March 1,2008

• Organizing Committee, “Remembrances in Celebration of Gene Golub”, Stanford,February 29, 2008

Professional Service

• Editorial Board Member, Journal of Applied and Computational Mathematics, 2012-• Program Committee Member, World Congress of Engineering, London, 2010-

• Program Committee Member, International Multiconference on Engineering and Com-puter Science, Hong Kong, 2010-

• Proposal Reviewer, NASA Mississippi Space Grant Consortium, 2018

• Proposal Reviewer, Engineering and Physical Sciences Research Council (UK), 2010

• Proposal Reviewer, Austrian Academy of Sciences, 2010

• Proposal Reviewer, Georgia (former Soviet Republic) Science Foundation, 2009

• Reviewer, Journal of Scientific Computing, 2017-

• Reviewer, Mathematical Communications, 2017-

• Reviewer, Computational Geosciences, 2016-

• Reviewer, International Journal of System Science, 2016-

• Reviewer, World Congress of Engineering Proceedings, 2016-

• Reviewer, International Journal of Differential Equations, 2015-

• Reviewer, Journal of Mathematical Imaging and Vision, 2015-

• Reviewer, Mathematical Modeling and Analysis, 2015-

• Reviewer, PLOS One, 2015-

• Reviewer, American Mathematical Monthly, 2014-

• Reviewer, Journal of Applied Mathematics, 2014-

• Reviewer, Journal of Engineering Mathematics, 2014-

• Reviewer, Journal of Inequalities and Applications, 2014-

• Reviewer, FUEL, 2014-

• Reviewer, Advances in Water Resources, 2014-

• Reviewer, Transport in Porous Media, 2013-

• Reviewer, Journal of Applied Mathematics and Computing, 2013-

• Reviewer, Journal of Advanced Research in Applied Mathematics, 2012-

• Reviewer, Environmental Engineering Science, 2011-

• Reviewer, Computers and Mathematics with Applications, 2011-

• Reviewer, Signal Image and Video Processing, 2010-

• Reviewer, Journal of Sampling Theory in Signal and Image Processing, 2010-

• Reviewer, Computational and Applied Mathematics, 2009-

• Reviewer, SPE Reservoir Evaluation and Engineering, 2008-

• Reviewer, Transactions on Image Processing, 2008-

• Reviewer, SIAM Review, 2008-

• Reviewer, Transactions on Signal Processing, 2008-

• Reviewer, International Journal on Computational Science, 2008-

• Reviewer, Water Resources Research, 2006-

• Reviewer, Mathematical Reviews, 2006-

• Reviewer, Journal of Computational Physics, 2005-

• Reviewer, World Scientific Publishing, 2004

• Reviewer, Houghton-Mifflin Co., 2004

• SIAM Web Committee, 2002-2008

• Author of “Finding an Academic Job” for SIAM web site, Student section, 2003

Documents

James V. Lambers · 2019. 4. 1. · MAT 773: Signal Analysis for Computational Science COS 702: Data Analysis Techniques 2.Stanford University CME 108/CS 137: Introduction to Scienti