Mark Shephard

Samuel A. Johnson '37 and Elizabeth C. Johnson Professor of Engineering and Director, Scientific Computation Research Center (SCOREC)

About

Mark S. Shephard’s professional activities have focused on technologies to improve the reliability and level of automation of advanced numerical simulations to support their effective application by engineers and scientist. His research activities have lead to well recognized and applied contributions on the areas of automatic mesh generation of CAD geometry, automated and adaptive analysis methods, and parallel adaptive simulation technologies. This research has been supported by both government agencies (over 65 research grants from 13 agencies) and industry (funding from 44 companies). Dr. Shephard has published over 250 papers and graduated 24 Ph.D’s. As part of his professional activities Mark S. Shephard founded Rensselaer's Scientific Computation Research Center that has brought together faculty form seven academic departments and three schools at Rensselaer to perform research on the development and application of advanced simulation technologies. These research activities have included collaborations with more that ten other universities over the past decade. Mark S. Shephard is a co-founder, board member and technical advisor to Simmetrix Inc., a computer-aided engineering company dedicated to producing the technologies and associated software components to enable simulation-based engineering. Simmetrix is currently researching, developing and providing advanced simulation automation and simulation-based design technologies to CAE and Fortune 500 companies, and universities.

Other affililations: Mechanical, Aerospace and Nuclear Engineering, Computer Science

Research

Rensselaer’s Scientific Computation Research Center (SCOREC) has a 32 year history of developing high performance computing technologies that are being applied to a wide variety of applications. Research activities include:

  • High-Performance Simulation Methods - mathematical models and discretization methods.
  • Simulation Reliability – adaptive methods and uncertainty quantification.
  • Massively Parallel Computations – scalable methods to solve real world problems.
  • Multiscale Computations - models and methods for linking across multiple scales.
  • Construction of Simulation Systems – collaborative development of application specific simulation workflows.

Currently SCOREC’s research is supported by the US Department of Energy through the SciDAC Institutes and Partnerships, and Exascale Computing Program, and grants from NSF, NIH, DoD, NASA and Industry. Current areas of application include modeling of fusion plasma systems, land and sea ice, soft tissues, additive manufacturing processes and microelectronics. Methods and software developed by SCOREC are included in commercial computer aided engineering systems, advanced finite element analysis codes, in software being used by many hospitals to do non-intrusive evaluation of patients need for arterial stents, etc. 

Primary Research Focus
Scientific Computing
Other Focus Areas

Massively parallel simulation methods, unstructured mesh methods on parallel computers.

Publications

The following is a selection of recent publications in Scopus. Mark Shephard has 302 indexed publications in the subjects of Engineering, Computer Science, and Mathematics.

Morteza H. Siboni, Mark S. Shephard
Computer Physics Communications
, 279
, 2022
.
Saurabh Tendulkar, Fan Yang, Rocco Nastasia, Mark W. Beall, Assad A. Oberai, Mark S. Shephard, Onkar Sahni
SEMA SIMAI Springer Series
, 30
, 2022
, pp.209-231
.
Eric Suchyta, Scott Klasky, Norbert Podhorszki, Matthew Wolf, Abolaji Adesoji, C. S. Chang, Jong Choi, Philip E. Davis, Julien Dominski, Stéphane Ethier, Ian Foster, Kai Germaschewski, Berk Geveci, Chris Harris, Kevin A. Huck, Qing Liu, Jeremy Logan, Kshitij Mehta, Gabriele Merlo, Shirley V. Moore, Todd Munson, Manish Parashar, David Pugmire, Mark S. Shephard, Cameron W. Smith, Pradeep Subedi, Lipeng Wan, Ruonan Wang, Shuangxi Zhang
International Journal of High Performance Computing Applications
, 36
, 2022
, pp.106-128
.
Fan Yang, Anirban Chandra, Yu Zhang, Saurabh Tendulkar, Rocco Nastasia, Assad A. Oberai, Mark S. Shephard, Onkar Sahni
Engineering with Computers
, 38
, 2022
, pp.4289-4305
.
Gerrett Diamond, Cameron W. Smith, Chonglin Zhang, Eisung Yoon, Mark S. Shephard
Journal of Parallel and Distributed Computing
, 157
, 2021
, pp.1-12
.
Tzanio Kolev, Paul Fischer, Misun Min, Jack Dongarra, Jed Brown, Veselin Dobrev, Tim Warburton, Stanimire Tomov, Mark S. Shephard, Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Jean Sylvain Camier, Noel Chalmers, Yohann Dudouit, Ali Karakus, Ian Karlin, Stefan Kerkemeier, Yu Hsiang Lan, David Medina, Elia Merzari, Aleksandr Obabko, Will Pazner, Thilina Rathnayake, Cameron W. Smith, Lukas Spies, Kasia Swirydowicz, Jeremy Thompson, Ananias Tomboulides, Vladimir Tomov
International Journal of High Performance Computing Applications
, 35
, 2021
, pp.527-552
.
Brian N. Granzow, Assad A. Oberai, Mark S. Shephard
Engineering with Computers
, 36
, 2020
, pp.1169-1188
.
Ruixiong Hu, Max O. Bloomfield, Mark S. Shephard, Antoinette M. Maniatty, Kamal Sikka
ASME 2020 15th International Manufacturing Science and Engineering Conference, MSEC 2020
, 1
, 2020
.
Scott D. Halle, Max O. Bloomfield, Allen H. Gabor, Derren Dunn, Mark Shephard
Proceedings of SPIE - The International Society for Optical Engineering
, 11329
, 2020
.
Gerrett DIamond, Cameron Smith, Chonglin Zhang, Eisung Yoon, Gopan Perumpilly, Onkar Sahni, Mark Shephard
Proceedings of ScalA 2019: 10th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems - Held in conjunction with SC 2019: The International Conference for High Performance Computing, Networking, Storage and Analysis
, 2019
, pp.42-51
.

View All Scopus Publications

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