2016-2017 Education Snapshot

By | Educational, General Interest, News

Over the past year, MICDE’s educational programs and activities have experienced tremendous growth. The Graduate Certificate in Computational Discovery and Engineering currently has 50 students enrolled, spanning 19 departments from 5 different schools and colleges. Sixteen students graduated within the last academic year, and 44 have graduated since the Graduate Certificate was established in 2013. Even further, the number of women in the program went from zero in 2014 to 15 currently enrolled.

The Ph.D. in Scientific Computing has experienced extraordinary growth, with 74 students enrolled from 20 departments, and four schools or colleges. We added a section to our web site with both programs’ alumni information.

We are working to broaden as well as to deepen the activities and resources available to students in both programs. Twenty MICDE fellowships were awarded this academic year to students in our programs. We continued to sponsor student software teams at competitions, as well as individual students presenting their work at leading conferences. On-campus, MICDE student activities include networking lunches, and the Scientific Computing Student Club (SC2). On the programmatic front, our non-engineering students now have access to a CAEN account that gives them more options to connect and use U-M High Performance Computing resources. Relevant grant opportunities for students are tracked and updated in MICDE’s grant webpage

2016-2017 MICDE Fellow Yuxi Chen (ClaSp) presenting his work at the MICDE Annual Symposium

Several educational projects and initiatives are afoot at MICDE, including a Massively Open Online Class (MOOC) in Computational Thinking targeting both high school students and their teachers. This MOOC aims to introduce learners to algorithmic approaches to problems. This initiative is being developed in collaboration with the School of Education, the office of Academic Innovation, and with input from a number of high schools in the Detroit Metropolitan Area.The two new courses launched by MICDE faculty last year, Methods and Practices of Scientific Computing, and Data-Driven Analysis and Modeling of Complex Systems, were successful in their first offerings during the 2016-2017 academic year, and are being offered again in 2017-2018. Other teams of MICDE faculty are at work across campus to develop new courses in computational science.

Reading and discussion group:  Data science in understanding and addressing climate change 

By | Educational, Events, General Interest, Happenings

CSCAR announces a reading and discussion group Data science in understanding and addressing climate change that will meet on the third or fourth (depending on the preferences of participants) Friday of every month between 3 and 5 pm. We will discuss reports and significant papers that illuminate fundamental issues in climate change science, policy, and management. The suggested format at this stage is that we discuss one science and one policy (or management) paper or chapter. The focus will be on the spatial (and temporal) dimensions of the issue and we will concentrate more on methods and techniques keeping the requirement for domain knowledge relatively low. We will lay emphasis on the conceptual part of the tools and techniques so that it is accessible to a wider set of participants, but will also get into the technical details.

This is an effort to bring people involved in climate change together from a data science perspective. The idea is to learn together in a fun environment and foster dialogue with a focus on how data science can provide the common ground for mutual learning and understanding.

 We will meet in Rackham, but we will be open to rotating the location. You will be able to participate remotely, if you choose to.

 If you are interested send an email to Manish Verma at manishve@umich.edu

 If you have any suggestion for discussion and reading let us know.  We will include chapters from the IPCC and US global change science programs in our discussion.

CSCAR provides walk-in support for new Flux users

By | Data, Educational, Flux, General Interest, HPC, News

CSCAR now provides walk-in support during business hours for students, faculty, and staff seeking assistance in getting started with the Flux computing environment.  CSCAR consultants can walk a researcher through the steps of applying for a Flux account, installing and configuring a terminal client, connecting to Flux, basic SSH and Unix command line, and obtaining or accessing allocations.  

In addition to walk-in support, CSCAR has several staff consultants with expertise in advanced and high performance computing who can work with clients on a variety of topics such as installing, optimizing, and profiling code.  

Support via email is also provided via hpc-support@umich.edu.  

CSCAR is located in room 3550 of the Rackham Building (915 E. Washington St.). Walk-in hours are from 9 a.m. – 5 p.m., Monday through Friday, except for noon – 1 p.m. on Tuesdays.

See the CSCAR web site (cscar.research.umich.edu) for more information.

NVIDIA Grad Fellowship applications are open for the 2018-2019 academic year

By | Educational, Funding Opportunities

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NVIDIA just launched their 17th Annual Graduate Fellowship Program for the 2018-2019 academic year, which advances the frontiers of science by awarding grants and providing technical support to graduate students who are doing outstanding GPU-based research. If you are or know of a student that uses ConFlux, please encourage them to apply as very few people have access to the types of GPUS available on Conflux, which might make their application more competitive.

This year they are especially seeking doctoral students pushing the envelope in AI, deep neural networks, autonomous vehicles, and related fields. NVIDIA’s Graduate Fellowship awards are now up to $50,000 per student. These grants will be awarded in the 2018-2019 academic year.

Since its inception in 2002, the NVIDIA Graduate Fellowship Program has awarded over 140 Ph.D. graduate students with grants that have helped accelerate their research efforts. More importantly, this funding has helped some students achieve major breakthroughs in their research – breakthroughs that may not have been possible without additional funding.

The NVIDIA Graduate Fellowship Program is open to applicants worldwide. There is a new submission portal, and the deadlines for submissions are Dec. 13, 2017 (nomination letters) and Dec. 15, 2017 (applications). Students should be sure to start their application process early, as they use the portal to request their nomination letters in advance.

Eligible graduate students will have already completed their first year of Ph.D. level studies in the areas of computer science, computer engineering, system architecture, electrical engineering, or a related area. In addition, applicants must also be engaged in active research as part of their thesis work.

For more information on eligibility and how to apply, visit http://research.nvidia.com/graduate-fellowships or email fellowship@nvidia.com.

Info sessions on graduate studies in computational and data sciences — Sept. 21 and 25

By | Educational, Events, General Interest, News, Research

Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided

  • The Ph.D. in Scientific Computing is open to all Ph.D. students who will make extensive use of large-scale computation, computational methods, or algorithms for advanced computer architectures in their studies. It is a joint degree program, with students earning a Ph.D. from their current departments, “… and Scientific Computing” — for example, “Ph.D. in Aerospace Engineering and Scientific Computing.”
  • The Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.
  • The Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics:
    1) Modeling — Understanding of core data science principles, assumptions and applications;
    2) Technology — Knowledge of basic protocols for data management, processing, computation, information extraction, and visualization;
    3) Practice — Hands-on experience with real data, modeling tools, and technology resources.

Times / Locations:

XSEDE Research Allocation Requests due July 15th

By | Educational, General Interest, HPC, News

XSEDE Allocations award eligible users access to compute, visualization, and/or storage resources as well as extended support services.

XSEDE has various types of allocations from short term exploratory request to year long projects. In order to access to XSEDE resources you must have an allocation. Submit your allocation requests via the XSEDE Resource Allocation System (XRAS) in the XSEDE User Portal.

ARC-TS consultants can help researchers navigate the XSEDE resources and process. Contact them at hpc-support@umich.edu

MICDE announces 2017-2018 Fellowship recipients

By | Educational, General Interest, Happenings, News

MICDE is pleased to announce the recipients of the 2017-2018 MICDE Fellowships for students enrolled in the PhD in Scientific Computing or the Graduate Certificate in Computational Discovery and Engineering. We had 91 applicants from 25 departments representing 6 schools and colleges. Due to the extraordinary number of high quality applications we increased the number of fellowships from 15 to 20 awards. See our Fellowship page for more information.

AWARDEES

Diksha Dhawan, Chemistry
Negar Farzaneh, Computational Medicine & Bioinformatics
Kritika Iyer, Biomedical Engineering
Tibin John, Neuroscience
Bikash Kanungo, Mechanical Engineering
Yu-Han Kao, Epidemiology
Steven Kiyabu, Mechanical Engineering
Christiana Mavroyiakoumou, Mathematics
Ehsan Mirzakhalili, Mechanical Engineering
Colten Peterson, Climate and Space Sciences & Engineering
James Proctor, Materials Science & Engineering
Evan Rogers, Biomedical Engineering
Longxiu Tian, S. Ross School of Business
Jipu Wang, Nuclear Engineering and Radiological Sciences
Yanming Wang, Chemistry
Zhenlin Wang, Mechanical Engineering
Alicia Welden, Chemistry
Anna White, Industrial & Operations Engineering
Chia-Nan Yeh, Physics
Yiling Zhang, Industrial & Operations Engineering

HONORABLE MENTIONS

Geunyeong Byeon, Industrial & Operations Engineering
Ayoub Gouasmi, Aerospace Engineering
Joseph Kleinhenz, Physics
Jia Li, Physics
Changjiang Liu, Biophysics
Vo Nguyen, Computational Medicine & Bioinformatics
Everardo Olide, Applied Physics
Qiyun Pan, Industrial & Operations Engineering
Pengchuan Wang, Civil & Environmental Engineering
Xinzhu Wei, Ecology & Evolutionary Biology

U-M students invited to apply for MICDE fellowships — May 19 deadline

By | Educational, Funding Opportunities, General Interest, News

University of Michigan students are invited to apply for Michigan Institute for Computational Discovery and Engineering (MICDE) Fellowships for the 2017-2018 academic year. These $4,000 fellowships are available to students in both the Ph.D in Scientific Computing and the Graduate Certificate Program in Computational Discovery and Engineering. Applicants should be graduate students enrolled in either program, although students not yet enrolled but planning to do so may simultaneously submit program and fellowship applications.

Fellows will receive a $4,000 research fund that can be used to attend a conference, to buy a computer, or for any other approved activity that enhances the Fellow’s graduate experience. We also ask that Fellows attend at least 8 MICDE seminars between Fall 2017 and Winter 2018, attend one MICDE students’ networking event, and present a poster at the MICDE Symposium on March 22, 2018. For more details and to apply please visit http://micde.umich.edu/academic-programs/micde-fellowships/.

Interested students should download and complete the application form, and submit it with a one-page resume as a SINGLE PDF DOCUMENT to MICDE-apps@umich.edu. The due date for applications is May 19, 2017, 5:00 E.T. We expect to announce the awardees onJune 5, 2017.

We encourage applications from all qualified candidates, including women and minorities.

MICDE Annual Symposium – Poster Competition Winners

By | Educational, Events, Research

Fifty-six posters were submitted to the 2017 MICDE symposium poster competition.

Last week’s MICDE annual symposium included a poster competition for students and postdocs. The event featured 56 posters that highlighted the interdisciplinary nature of the institute. (Some of the posters were described in a story in the Michigan Daily). All of the titles and abstracts submitted are in this spreadsheet.

Victor Wu, Ph.D. Candidate in the department of Industrial and Operations Engineering, won first place and $500 for his poster “Multicriteria Optimization for Brachytherapy Treatment Planning.” Wu and co-authors Epelman, Sir, Pasupathy, Herman and Duefel, introduced an efficient Pareto-style planning approach and intuitive graphical user interface that enables a planner or physician to directly explore dose-volume histogram metric trade-offs for brachyotherapy treatment – a common method for treating cancer patients with radiation.

Sambit Das, Ph. D. Candidate of Mechanical Engineering, earned second place and a $250 prize for his work on “Large Scale Electronic Structure Studies on the Energetics of Dislocations in Al-Mg Materials System and Its Connection to Mesoscale Models

Third place, also with a $250 prize, went to Joseph Cicchese, Ph. D. Candidate in the Department of Chemical Engineering, for his poster titled “How to optimize tuberculosis antibiotic treatments using a computational granuloma model. Cicchese and co-authors Pienaar, Kirschner and Linderman, proposed a method of combining an agent-based and multi-scale model of tuberculosis granuloma formation and treatment with surrogate-assisted optimization to identify optimal tuberculosis treatments.