Explore ARCExplore ARC

MICDE announces 2019-2020 fellowship recipients

By | Educational, General Interest, Happenings, News

The Michigan Institute for Computational Discovery and Engineering (MICDE) is pleased to announce the 2019-2020 MICDE Fellowship recipients. They were chosen to receive this honor because of their exceptional academic record and the outstanding promise of their research in computational sciences. Fellows are working on a wide range of groundbreaking problems, including the strategic interaction of parties and electors in democratic elections (S. Baltz, Political Science), the effects of disruption of synaptic signaling on neuronal structures (M. Budak, Biophysics),  and on the development of robust, efficient, and scalable algorithms for multidisciplinary design optimization applications applied to the design of the next generation of fuel-efficient aircrafts (A. Yildirim, Aerospace). The fellowships, which carry a $4,000 stipend, are meant to augment other sources of funding and are available to students in our three educational programs. Visit our fellowship page to learn more about the program and the fellows.

2019-2020 MICDE Fellows (from left to right) Guodong Chen (Aero), Suyash Tandon (ME), Jiale Tan (Epidemiology), Chongxing Fan (ClaSp), Kelly Broen (Epidemiology), Bradley Dice (Physics), Liz Livingston (ME), Will Weaver (EEB), Yuan Yao (ME), Samuel Baltz (Pol Sci), Joe Hollowed (Physics), Minki Kim (ME), Allison Roessler (Chem), Fuming Chang (ClaSp), Maral Budak (Biophysics), Saibal De (Math), Xian Yu (IOE), Jiaming Zhang (Physics). [Not pictured: Thomas Waltmann (Physics), Anil Yildirim (Aero), and Jessica Conrad (IAM)]


Samuel Baltz, Political Science
Kelly Broen, Epidemiology
Maral Budak, Biophysics
Fuming Chang, Climate and Space Sciences and Engineering
Guodong Chen, Aerospace Engineering
Jessica Conrad, Applied & Interdisciplinary Mathematics
Saibal De, Applied & Interdisciplinary Mathematics
Bradley Dice, Physics
Chongxing Fan, Climate and Space Sciences and Engineering
Joseph Hollowed, Physics
Minki Kim, Mechanical Engineering
Elizabeth Livingston, Mechanical Engineering
Allison Roessler, Chemistry
Jiale Tan, Epidemiology
Suyash Tandon, Mechanical Engineering
Thomas Waltmann, Physics
William Weaver, Ecology and Evolutionary Biology
Yuan Yao, Mechanical Engineering
Anil Yildirim, Aerospace Engineering
Xian Yu, Industrial & Operations Engineering
Jiaming Zhang, Physics

MICDE Director, Krishna Garikipati, wins USACM Fellow award

By | News, Uncategorized

Krishna Garikipati, professor of Mechanical Engineering and of Mathematics, and director of MICDE, has been granted a 2019 United States Association for Computational Mechanics (USACM) Fellows award for his work in developing numerical methods applied to strongly nonlinear problems in living and nonliving material systems.

The Fellows Award recognizes individuals with a distinguished record of research, accomplishment and publication in areas of computational mechanics and demonstrated support of the USACM through membership and participation in the Association, its meetings and activities. All recipients shall be members in good standing of USACM. Multiple awards may be given at two-year intervals.

MICDE to host NSF Computational Mechanics Vision workshop

By | News

In Fall 2019, MICDE will host the NSF workshop entitled Computational Mechanics Vision Workshop. Organized by Boston University, Duke University and the University of Michigan. The workshop’s aim is to solicit and synthesize directions for computational mechanics research and education in the United States over the next decade and beyond from a diverse cross section of scientists and engineers.  Read more…


Introducing the new Clare Boothe Luce Graduate Fellows at the University of Michigan

By | Feature, News

The Michigan Institute for Computational Discovery and Engineering is pleased to announce the recipients of the Clare Boothe Luce graduate fellowships at the University of Michigan. Jessica Conrad, MS, currently an internee at LLNL, and Elizabeth Livingston, MS, a graduate of the University of Illinois, Urbana-Champaign, will be joining the University of Michigan in the Fall of 2019 to work towards their PhD. They were chosen because of their exceptional academic records and excellent preparation for graduate studies in computational sciences. Elizabeth will join the Mechanical Engineering department in the College of Engineering, and Jessica will join the Applied and Interdisciplinary Mathematics program in the College of Literature, Sciences and the Arts. As required by the fellowship, both students will enroll in the joint PhD in Scientific Computing program.

Elizabeth Livingston, Clare Boothe Luce Fellow at the University of Michigan

Elizabeth Livingston completed a BSc in Engineering Mechanics (with a minor in Computational Science and Engineering) and a MS in Mechanical Engineering at the University of Illinois, Urbana-Champaign. Elizabeth will join Prof. Garikipati’s research group in Mechanical Engineering. Elizabeth will carry out research in computational modeling of biomedical engineering problems. Of particular interest to her is the growth and remodeling of the cardio-vascular system. She will apply cutting-edge techniques of data-driven computational modeling to this topic using principles of scientific computing, including machine learning, uncertainty quantification, and finite element methods.

Elizabeth has a strong academic background, thriving while performing research in fields where women are underrepresented. Her ambition is to become a university faculty member, doing research in computational science. She looks forward to collaborating with colleagues and working with students to help them to succeed as others have helped her.

Jessica Conrad has a BS in mathematics and public health, a master’s in biostatistics, and an excellent track record of computational research both in her training and current work at Los Alamos National Laboratories. This background forms an ideal foundation for blending computing and mathematics in her PhD work, which will enable her to build a successful career in STEM. Jessica’s proposed area of study is in inverse problems in mathematical epidemiology, particularly focused on using computational and mathematical methods to gain useful insights into public health problems. A critical part of this work will include developing computational approaches to parameter identifiability. Conrad plans to work with Prof. Marisa Eisenberg, an expert in identifiability and infectious disease modeling, as one of her two primary co-mentors in the AIM program.

Jessica Conrad, Clare Boothe Luce Fellow at the University of Michigan

The Clare Boothe Luce program is funded by the Henry Luce Foundation. The program was created by Clare Boothe Luce, with the goal of increasing the participation of women in the sciences, mathematics and engineering at every level of higher education. It also serves as a catalyst for colleges and universities to be proactive in their own efforts toward this goal. At the University of Michigan, the program aims to increase women’s participation in the scientific computing community by recruiting top-of-the class women into the PhD in Scientific Computing program. The program is designed to allow the fellows to focus on their academic success by funding their first 3 years in the PhD, freeing them to try high-risk, innovative research projects in a unique interdisciplinary program, with ample networking opportunities and career support.

Ruiwei Jiang wins NSF CAREER award for work in operations research

By | General Interest, Happenings, News

Ruiwei Jiang, assistant professor in Industrial and Operations Engineering and an MICDE-affiliated faculty member, has won an NSF CAREER award for work evaluating the potential benefits of incorporating decision-dependent uncertainty into decision-making problems in service industries and investigate new optimization approaches to maneuvering such uncertainty to improve decision-making.

Read more…

Women in HPC launches mentoring program

By | Educational, General Interest, HPC, News

Women in High Performance Computing (WHPC) has launched a year-round mentoring program, providing a framework for women to provide or receive mentorship in high performance computing. Read more about the program at https://womeninhpc.org/2019/03/mentoring-programme-2019/

WHPC was created with the vision to encourage women to participate in the HPC community by providing fellowship, education, and support to women and the organizations that employ them. Through collaboration and networking, WHPC strives to bring together women in HPC and technical computing while encouraging women to engage in outreach activities and improve the visibility of inspirational role models.

The University of Michigan has been recognized as one of the first Chapters in the new Women in High Performance Computing (WHPC) Pilot Program. Read more about U-M’s chapter at https://arc.umich.edu/whpc/

Balzano wins NSF CAREER award for research on machine learning and big data involving physical, biological and social phenomena

By | General Interest, Happenings, News, Research

Prof. Laura Balzano received an NSF CAREER award to support research that aims to improve the use of machine learning in big data problems involving elaborate physical, biological, and social phenomena. The project, called “Robust, Interpretable, and Efficient Unsupervised Learning with K-set Clustering,” is expected to have broad applicability in data science.

Modern machine learning techniques aim to design models and algorithms that allow computers to learn efficiently from vast amounts of previously unexplored data, says Balzano. Typically the data is broken down in one of two ways. Dimensionality-reduction uses an algorithm to break down high-dimensional data into low-dimensional structure that is most relevant to the problem being solved. Clustering, on the other hand, attempts to group pieces of data into meaningful clusters of information.

However, explains Balzano, “as increasingly higher-dimensional data are collected about progressively more elaborate physical, biological, and social phenomena, algorithms that aim at both dimensionality reduction and clustering are often highly applicable, yet hard to find.”

Balzano plans to develop techniques that combine the two key approaches used in machine learning to decipher data, while being applicable to data that is considered “messy.” Messy data is data that has missing elements, may be somewhat corrupted, or is filled heterogeneous information – in other words, it describes most data sets in today’s world.

Balzano is an affiliated faculty member of both the Michigan Institute for Data Science (MIDAS) and the Michigan Institute for Computational Discovery and Engineering (MICDE). She is part of a MIDAS-supported research team working on single-cell genomic data analysis.

Read more about the NSF CAREER award…

New campus-wide access to MATLAB

By | Educational, General Interest, News

U-M is offering a new, campus-wide license for MATLAB, Simulink, and companion products. All faculty, researchers, and students are eligible to download and install these products, including toolboxes such as:

  • Bioinformatics Toolbox
  • Control System Toolbox
  • Curve Fitting Toolbox
  • Data Acquisition Toolbox
  • Image Processing Toolbox
  • Instrument Control Toolbox
  • Optimization Toolbox
  • Parallel Computing Toolbox
  • Signal Processing Toolbox
  • Simscape
  • Simscape Multibody
  • Simulink Control Design
  • Stateflow
  • Statistics and Machine Learning Toolbox
  • Symbolic Math Toolbox.

Access free, self-paced training to get started in less than 2 hours:  MATLAB Onramp.

Commercial use of MathWorks products is not covered by our TAH license, so if you are using a commercial license, please continue to do so. 

Read more…