Monthly Archives

July 2018

University of Michigan awarded Women in High Performance Computing chapter

By | General Interest, News

The University of Michigan has been recognized as one of the first Chapters in the new Women in High Performance Computing (WHPC) Pilot Program.

“The WHPC Chapter Pilot will enable us to reach an ever-increasing community of women, provide these women with the networks that we recognize are essential for them excelling in their career, and retaining them in the workforce.” says Dr. Sharon Broude Geva, WHPC’s Director of Chapters and Director of Advanced Research Computing (ARC) at the University of Michigan (U-M). “At the same time, we envisage that the new Chapters will be able to tailor their activities to the needs of their local community, as we know that there is no ‘one size fits all’ solution to diversity.”

“At WHPC we are delighted to be accepting the University of Michigan as a Chapter under the pilot program, and working with them to build a sustainable solution to diversifying the international HPC landscape” said Dr. Toni Collis, Chair and co-founder of WHPC, and Chief Business Development Officer at Appentra Solutions.

The process of selecting organizations to participate in the program accounted for potential conflicts of interest; Geva did not vote on U-M’s application.

About Women in High Performance Computing (WHPC) and the Chapters and Affiliates Pilot Program

Women in High Performance Computing (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.

WHPC has launched a pilot program for groups to become Affiliates or Chapters. The program will share the knowledge and expertise of WHPC as well as help to tailor activities and develop diversity and inclusion goals suitable to the needs of local HPC communities. During the pilot, WHPC will work with the Chapters and Affiliates to support and promote the work of women in their organizations, develop crucial role models, and assist employers in the recruitment and retention of a diverse and inclusive HPC workforce.

WHPC is stewarded by EPCC at the University of Edinburgh. For more information visit http://www.womeninhpc.org.  

For more information on the U-M chapter, contact Dr. Geva at sgeva@umich.edu.

MIDAS researchers’ papers accepted at ACM KDD data science conference in London

By | General Interest, Happenings, News, Research

Several U-M faculty affiliated with MIDAS will participate in the KDD2018 Conference in London in August. The meeting is held by the Associate for Computing Machinery’s Special Interest Group in Knowledge Discovery and Data Mining (KDD).

U-M researchers had the following papers accepted:

Learning Adversarial Networks for Semi-Supervised Text Classification via Policy Gradient
Yan Li (U-M); Jieping Ye (U-M)

TINET: Learning Invariant Networks via Knowledge Transfer
Chen Luo (Rice University); Zhengzhang Chen (NEC Laboratories America); Lu-An Tang (NEC Laboratories America); Anshumali Shrivastava (Rice University); Zhichun Li (NEC Laboratories America); Haifeng Chen (NEC Laboratories America); Jieping Ye (U-M)

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts
Jiaqi Ma(U-M); Zhe Zhao (Google); Xinyang Yi (Google); Jilin Chen (Google); Lichan Hong (Google); Ed Chi (Google)

Learning Credible Models
Jiaxuan Wang (U-M); Jeeheh Oh (U-M); Haozhu Wang (U-M); Jenna Wiens (U-M)

Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories
Ian Fox (U-M); Lynn Ang (U-M); Mamta Jaiswal (U-M); Rodica Pop-Busui (U-M); Jenna Wiens (U-M)

ActiveRemediation: The Search for Lead Pipes in Flint, Michigan
Jacob Abernethy (Georgia Institute of Technology); Alex Chojnacki (U-M); Arya Farahi (U-M); Eric Schwartz (U-M); Jared Webb (Brigham Young University)

Career Transitions and Trajectories: A Case Study in Computing
Tara Safavi (U-M); Maryam Davoodi (Purdue University); Danai Koutra (U-M)

In addition, U-M Professor Jieping Ye will present at the event’s Artificial Intelligence in Transportation tutorial, and U-M Assistant Professor Qiaozhu Mei will speak as part of Deep Learning Day.