Conferences brought to you by the Ken Kennedy Institute at Rice University:
REGISTER NOW: 14th Annual *Virtual* OG-HPC Conference | March 5, 2021
The Oil and Gas High Performance Computing (OG-HPC) Conference, hosted annually at Rice University by the Ken Kennedy Institute, is the premier meeting place for the energy industry to engage in conversations about challenges and opportunities in high performance computing, computational science and engineering, machine learning, and data science. Attended by more than 500 leaders and experts from the energy industry, academia, national labs, and IT industry, this is a unique opportunity for key stakeholders to engage and network to help advance HPC in the energy industry.
The agenda for the conference includes invited keynote speakers, technical program, exhibit hall, virtual networking reception, and a student poster session. Post-conference workshops are included in the conference registration. Workshops will be offered March 12, 19, and 26.
Technical themes for conference sessions are developed based on current challenges and the diversity and strengths of the abstracts received.
This conference has become the key venue for planners and practitioners alike. This is a forum for taking the pulse of industry needs and discussing challenges, opportunities and new development at the interface of the energy industry, the IT industry, and the academic and research community.
Visit the website at og-hpc.rice.edu for more information and updates.
4th Annual *Virtual* Ken Kennedy Institute Virtual Data Science Conference | October 26-28, 2020.
Data science is rapidly evolving as an essential interdisciplinary field, where advances often result from combinations of ideas from several disciplines. This conference, to be hosted annually at Rice University by the Ken Kennedy Institute, is for professionals and practitioners working in machine learning, deep learning, data mining, artificial intelligence, or big data problems broadly. Recognizing that discovery and innovation happens at interfaces of disciplines and communities, the conference aims to bring together a diverse set of people from multiple communities spanning academia and industry.
The conference is a research, development, and innovation (RD&I) gathering, bringing together university and research labs (technology developers), key industry verticals (technology consumers), and IT industry (technology providers) that are looking at opportunities created by advances in AI, data analytics, machine learning and deep learning. This year’s virtual conference will have an online venue for networking, collaborating, and building partnerships focused around data science, machine learning, and data engineering problems and opportunities.
Visit the website at dsconference.rice.edu for more information and updates.