Department of Electrical Engineering and Computer Science
Graduate Program in Bioengineering
Information and Telecommunication Technology Center
University of Kansas
EECS Office: 3016 Eaton Hall
Curriculum Vitae: [PDF] (Updated on 1/31/19.)
Suzanne Shontz received her Ph.D. in applied mathematics from Cornell University in 2005. She received her B.A. in mathematics and B.S. in chemistry from the University of Northern Iowa in 1999 and her M.S. degrees in computer science and applied mathematics from Cornell University in 2002. Prior to joining The University of Kansas in August 2014, she was on the faculty at Mississippi State and The Pennsylvania State University. Previously, Dr. Shontz was a postdoctoral associate in the Department of Computer Science and Engineering and a Minnesota Supercomputing Institute Research Scholar at the University of Minnesota.
Professor Shontz is the recipient of a 2011 NSF Presidential Early CAREER Award (NSF PECASE Award) from the White House for her 2010 NSF CAREER Project on parallel dynamic meshing algorithms, theory, and software for simulation-assisted medical interventions. NSF recently featured Prof. Shontz's research in this video.
The citation for Dr. Shontz's NSF PECASE Award is as follows:Suzanne M, Shontz of Pennsylvania State University "For exemplary research in computational and data-enabled science and engineering that bridges applied mathematics, computer science, and scientific applications, and for contributions to education, including new curricula and approaches that encourage diversity in this emerging field."
Photos from the PECASE Ceremonies. Top row, left to right: Dr. Shontz receiving her NSF PECASE Award; Dr. Shontz with NSF OCI CAREER Program Director, Gabrielle Allen, and Future NSF OCI CAREER Program Director, Daniel Katz; Dr. Shontz on the White House steps after meeting with President Obama and the 95 other PECASE Awardees. Bottom row: President Barack Obama addresses 2011 Presidential Early Career Awards for Scientists and Engineers (PECASE) recipients in the East Room of the White House, July 31, 2012. (Official White House Photo by Pete Souza).
Prof. Shontz received the Young Alumnus Award from the University of Northern Iowa in 2017; the award recognizes alumni who have demonstrated success early in their career (age 40 and under) and who has been active in the life of the university. In 2016, she received the Miller Scholar Award at the University of Kansas; the award is for for research excellence, including a DURIP award for high-performance computing and visualization instrumentation. She received a Big 12 Faculty Fellowship in 2015 which enabled her to collaborate with faculty at Iowa State University on a computational materials science project. In 2012, Prof. Shontz was selected as the December 2012/January 2013 College of Arts and Sciences Researcher of the Month at Mississippi State University. In 2009, she received an Office of Naval Research Summer Faculty Fellowship for her research in computational materials science. In 2007, she was selected as the Computer Engineering Faculty Marshall for the Spring Commencement exercises at Penn State. Prof. Shontz received a National Physical Science Consortium Fellowship from 1999-2004 and an Honorable Mention for the Alice T. Schafer Prize for Women in Mathematics in 1999.
Prof. Shontz has presented her research at several international and national venues. Selected recent presentations include talks at the 2018 Banff International Research Station (BIRS) Workshop on Adaptive Numerical Methods for Partial Differential Equations with Applications, the 2018 SIAM Imaging Science Conference, the 2018 International Conference on Spectral and High Order Methods, the 25th International Conference on Domain Decomposition, and the 2018 International Symposium on Isogeometric Analysis and Mesh Generation. In 2018, she also presented her research at the University of Southern Mississippi.
Professor Shontz's research interests lie in the area of parallel scientific computing. In particular, her research focuses on the development of unstructured meshing, numerical optimization, model order reduction, and numerical linear algebra algorithms and their applications to computational medicine, imaging sciences, materials, and electronic circuits, among others.
Recent projects have included the design of efficient algorithms for high-order mesh generation, parallel meshing, dynamic mesh generation, mesh optimization, mesh untangling, and mesh adaptation for applications ranging from medical devices to elasticity to solid mechanics. Other recent projects have involved the development of optimization algorithms for effective generation of computational meshes and model order reduction techniques to reduce electronic circuit networks for use in circuit simulations.
Click here for results of my NSF CISE project (2017-2020). Click here for results of my NSF CAREER project (2011-2017). Click here for recent publications.
Michael Stees (Ph.D. Student, Computer Science, The University of Kansas) Fariba Mohammadi (Ph.D. Student, Mechanical Engineering, The University of Kansas; Co-advised with Ken Fischer) Moein Moradi (Ph.D. Student, Mechanical Engineering, The University of Kansas; Co-advised with Lisa Friis) Myra Dotzel (B.S. Student, Computer Science and Mathematics, Minor: Visual Arts, The University of Kansas) Dr. Sayaka Akioka (Visiting Scholar, Associate Professor, Meiji University, Tokyo, Japan)
Dr. Aruquia Barbosa Matos Peixoto (Visiting Faculty from Centro Federal de Educacao Tecnologica Celso Suckow da Fonseca (CEFET/RJ), Brazil; Information and Telecommunication Technology Center, The University of Kansas) Dr. Maurin Alberto Lopez Varilla (Postdoctoral Researcher, Information and Telecommunication Technology Center, The University of Kansas; September 2015-December 2016) Dr. Thap Panitanarak (Ph.D. in Computer Science and Engineering, The Pennsylvania State University; August 2017. Co-advised with Kamesh Madduri.) Jibum Kim (Ph.D. in Computer Science and Engineering, The Pennsylvania State University; December 2012; First position: Postdoc at Los Alamos National Laboratory) Shankar Prasad Sastry (Ph.D. in Computer Science and Engineering, The Pennsylvania State University; August 2012; First position: Postdoc at the Scientific Computing and Imaging Institute at the University of Utah) Kenneth Czuprynski (Co-advised with John Fahnline (ARL); M.S. in Computer Science and Engineering, The Pennsylvania State University; May 2012; First position: Ph.D. student in Applied Mathematics at the University of Iowa) Dragos Mihai ("Mike") Nistor (M.S. in Computer Science and Engineering, B.S. Honors in Computer Science and Statistics, The Pennsylvania State University; May 2012; First position: Mathworks) Omar Alzubbi (B.S. Student, Neurobiology and Interdisciplinary Computing, The University of Kansas; First position: B.S. student in Interdisciplinary Computing at University of Kansas) Rajarshi Bannerjee (B.S. in Computer Science, Mississippi State University; December 2015; First position: Unknown) Ikaro Ruan Penha Costa (B.S. Student, Civil Engineering, Federal University of Ceara, Brazil Scientific Mobility Program) Jessica Sayuri Tahara (B.S. Student, Computer Engineering, Universidade de Sorocaba, Brazil Scientific Mobility Program) Rafael Brito De Sousa Veras (B.S. Student, Electrical Engineering, Universidade Cruzeiro do Sul, Brazil Scientific Mobility Program) Matthew Judson (B.S. in Mathematical Sciences, Mississippi State University; May 2014; First position: Graduate student in Mathematical Sciences at Mississippi State University) Rachel Fuehrer (B.S. in Computational Mathematics, The Pennsylvania State University; May 2012; First position: Statistician, Census Bureau); CREU Project Nicholas Voshell (M.Eng. in computer Science and Engineering, The Pennsylania State University, December 2010; First position: Microsoft) Jeonghyung Park (M.S. in Computer Science and Engineering, The Pennsylvania State University, August 2009; First position: Ph.D. student in CSE at Penn State) Kyle Wray (B.S. in Computer Science, The Pennsylvania State University, December 2009; First position: M.S. student in CSE at Penn State) Patrick Kasting (B.S. with Honors, Computer Science, The Pennsylvania State University, May 2007; First position: InfoSoft International)
Collaborators at University of Kansas: Weizhang Huang, Shawn Keshmiri, ZJ Wang, Zhongquan (Charlie) Zheng, James Miller, Alessandro Salandrino, and Brian Laird.
Collaborators at Mississippi State: Ioana Banicescu, David Marcum Eric Collins, Qiuhan Arnoldus, Roger King, and Hyeona Lim.
Collaborators at Penn State: Corina Drapaca, Mahmut Kandemir, Emre Kultursay, Padma Raghavan, Frank Lynch, Keefe Manning, Brent Craven, Rob Campbell, Rick Medvitz, Rick Tutwiler, Matthew Baran, and Shawn Hough.
Collaborators at other institutions:   Steve Vavasis (University of Waterloo), Yousef Saad (University of Minnesota), James Chelikowsky (University of Texas at Austin), Sanjukta Bhowmick (University of Nebraska at Omaha), Michael Singer (Lawrence Livermore National Laboratory), Patrick Knupp (SNL-NM), Lori Diachin (LLNL), Todd Munson (ANL), Patricia Hough (SNL-CA), Victoria Howle (Texas Tech University); Wil Schilders (Technical University of Eindhoven); Nico Banagaaya (Technical University of Eindhoven); Odile Marcotte (Universite de Montreal); Petko Kitanov (University of Guelph); Noam Bernstein (Naval Research Laboratory), David McLaurin (CD-adapco), Brian Miller (LLNL), Shankar Prasad Sastry (University of Utah), Jibum Kim (Incheon National University), Thomas Hacker (Purdue University), Linwei Wang (Rochester Institute of Technology), Cristian Linte (Rochester Institute of Technology), Niels Otani (Rochester Institute of Technology), Jerome Goddard (Auburn University), and Baskar Ganapathysubramanian (Iowa State University).
EECS 560: Data Structures
EECS 739: Parallel Scientific Computing
EECS 639: Introduction to Scientific Computing
EECS 560: Data Structures EECS 639: Introduction to Scientific Computing
EECS 739: Parallel Scientific Computing
EECS 639: Introduction to Scientific Computing EECS 868: Mathematical Optimization with Applications
EECS 739: Scientific Parallel Computing EECS 801: Numerical PDEs and Meshing Techniques (Independent Study)
EECS 560: Data Structures
EECS 739: Scientific Parallel Computing
EECS 700: Computer Modeling, Simulation, and Visualization
I taught the following courses at Mississippi State:Penn State:
MA 3113: Introduction to Linear Algebra
MA 4313/6313: Introduction to Numerical Analysis I
MA 4990/6990: Simulation Modeling
MA 8443: Numerical Solution of Partial Differential Equations I.
I taught the following courses at Penn State:
CMPSC/Math 451 Numerical Computations
CMPSC/Math 455 Introduction to Numerical Analysis I
CMPSC/Math 456 Introduction to Numerical Analysis II
CSE/Math 555 Numerical Optimization Techniques
CSE 598C Meshing Techniques.
2019 SIAM Conference on Computational Science and Engineering, February 25 - March 1, 2019, Spokane, Washington
2019 International Conference on Adaptive Modeling and Simulation, May 27-29, 2019, Alicante, Spain
15th U.S. National Congress on Computational Mechanics, July 28 - August 1, 2019, Austin, Texas
2019 Supercomputing Conference, November 17-22, 2019, Denver, Colorado