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Research

TAMIDS Data Science Trainee Program

Posted on February 11, 2020 by Jian Tao

Overview

Though its Data Science Trainee Program, TAMIDS helps faculty and researchers develop Data Science projects, match interested students to work on them, and provide technical guidance and mentorship during the project.

With the rapid development of information technologies, the applications of data science has dramatically changed various aspects of our society and economy. In responding to this emerging trend,  the Texas A&M Institute of Data Science (TAMIDS) was established to pursue new approaches to data science research, education, operations and partnership at Texas A&M University.

Among all the objectives of TAMIDS, the education of the new generation of researchers that combine their disciplinary competences with data science expertise is of paramount importance. Through collaboration with A&M colleges, research agencies, and industrial partners, the TAMIDS Data Science Trainee Program breaks college boundaries to bring together the expertise and skills from science, engineering, operations, business, health, education, etc. to solve challenging problems while preparing our students for their future career success.

Roles and Registration

We identify three roles – Project Leader, Trainee, and Consultant – in which people can be involved in the program with TAMIDS.

Project Leaders: 

  • Propose Data Science projects by submission here; the proposals are posted online
  • Select and supervise one or more interested trainees to participate in the project
  • Help trainee to acquire domain knowledge needed to conduct the project
  • TAMU Role for Project Leaders: faculty, research staff, post-doc or operations staff

Trainees:

  • Register to participate in the program here and indicate their interest in specific project proposals
  • Participate in proposed project(s)
  • Attend TAMIDS and HPRC training events on Data Science and computing if needed
  • Learn background domain knowledge needed to conduct their project(s)
  • TAMU Role for Trainees: undergraduate or graduate students

Consultants: 

  • Assist Project Leaders with development of project proposals and trainee selection if requested
  • Provide trainee mentorship, project consultancy, and helps with evaluation
  • Consultants can register here
  • TAMU Role for Consultants: faculty, research staff, post-doc, operations staff or graduate students

TAMIDS will support and sustain the Data Science Traineeship Program by (1) managing the program organization; (2) assisting in matching leaders, projects and trainees; (3) organizing Data Science workshops and training programs; (4) helping with project computing and storage resources, and (5) helping develop Data Science courses and curriculum with domain emphases.

We invite A&M faculty, researchers, staff, and students to join this program to promote research, education, service, operations, and outreach in Data Science across Texas A&M. With your involvement and contribution, we will build a vibrant research and education environment for data science at Texas A&M.

Contact Information

For questions about the TAMIDS Data Science Traineeship Program, please contact Dr. Jian Tao, jtao@tamu.edu

Filed Under: Call for Participation, Research

Texas A&M Institute of Data Science Research Affiliates Program and Survey

Posted on July 26, 2019 by Jian Tao

TAMIDS is pleased to announce its Research Affiliates Program. The aim of the program is to increase internal and external visibility for Texas A&M Data Science researchers, and to involve them in developing and joining activities under the auspices of TAMIDS.

The TAMIDS Research Affiliates Program is open to all Texas A&M faculty (in tenure, professional, instructional, research, and other tracks), research scientists, postdoctoral researchers, and administration and operations staff and professionals, whose role and interests include Data Science. A separate affiliates program for graduate and undergraduate students will be announced later.

If you are interested in becoming a TAMIDS Research Affiliate, please complete the survey concerning interests in Data Science and TAMIDS activities at: forms.gle/kKeHwunUB6nvwvRB6

Information concerning affiliates will be added to the searchable listing at the TAMIDS website: https://tamids.tamu.edu/2019/06/21/tamids-research-affiliates/

Filed Under: News, Research

Contribution to the Encyclopedia of Image Processing

Posted on January 23, 2019 by Jian Tao

Encyclopedia of Image ProcessingDr. Tao and his collaborator Dr. Fang Huang from the University of Electronic Science and Technology of China contributed a chapter on Large-Scale Remote Sensing Image Processing in the Encyclopedia of Image Processing published by the CRC Press in Nov 2018.

According to the publisher, “The Encyclopedia of Image Processing presents a vast collection of well-written articles covering image processing fundamentals (e.g. color theory, fuzzy sets, cryptography) and applications (e.g. geographic information systems, traffic analysis, forgery detection). Image processing advances have enabled many applications in healthcare, avionics, robotics, natural resource discovery, and defense, which makes this text a key asset for both academic and industrial libraries and applied scientists and engineers working in any field that utilizes image processing. Written by experts from both academia and industry, it is structured using the ACM Computing Classification System (CCS) first published in 1988, but most recently updated in 2012.”

The contribution by Dr. Tao and Dr. Fang Huang focuses on the new High Performance Computing technologies based on multiple cores, graphics processing units, Intel Many Integrated Cores, cloud computing, and big data computing platforms to process large-scale Remote Sensing images.

More information about the Encyclopedia of Image Processing can be found at Taylor & Francis web site at

https://www.taylorfrancis.com/books/9781351032735

Filed Under: News, Research

Tao part of team to develop latest benchmark suite

Posted on January 17, 2018 by Jian Tao

Dr. Jian Tao, a Texas A&M Engineering Experiment Station (TEES) research scientist with affiliation to the Texas A&M High Performance Research Computing (HPRC) group, received a cash award and a free benchmark license for application code and datasets accepted under a benchmark search program sponsored by the Standard Performance Evaluation Corporation (SPEC). The new SPEC CPU2017 benchmark suite replaces SPEC CPU2006, launched 11 years ago.

SPEC is a nonprofit corporation formed to establish, maintain and endorse standardized benchmarks and tools to evaluate performance and energy efficiency for the newest generation of computing systems. Its membership comprises of more than 120 leading computer hardware and software vendors, educational institutions, research organizations and government agencies worldwide.

The original article can be found at TEES news.

Filed Under: Awards, News, Research

Updates

  • Dr. Jian Tao joined the Department of Visualization September 7, 2021
  • Parallel Computing with MATLAB Hands-On Workshop February 25, 2021
  • TAMIDS Scientific Machine Learning Lab February 1, 2021
  • TAMU Master of Science in Data Science February 1, 2021
  • HPRC/TAMIDS Workshop: Data Visualization and Geospatial Analysis With R November 3, 2020

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