Date TBD: estimated 2021 Madison, WI

Initial workshop of Lake Expedition 2020, a team science training program offered through the Global Lake Ecological Observatory Network (GLEON; gleon.org). The GFP trains cohorts of graduate students to use the rich information content of large and diverse data sets, operate effectively in diverse international teams, and communicate outcomes to a broad range of audiences. In 2020, the GFP is partnering with the NSF-funded project, Harnessing the Data Revolution (HDR), to apply machine learning techniques to aquatic problems.

Ocotober 21, 2021

Vipin Kumar is interviewed in the MN Daily regarding the new $25 million climate modeling center funded by the U.S. National Science Foundation (NSF), Learning the Earth with Artificial Intelligence and Physics (LEAP). Read more here.

June 22, 2021

A new machine-learning method developed by researchers at the University of Minnesota, University of Pittsburgh, and U.S. Geological Survey will provide more accurate stream and river temperature predictions, even when little data is available. Read more details in the news article here.

April 30, 2021

The website for the second annual KGML workshop was opened to the public. Please see the website for details.

April 13-27, 2021

A series of Knowledge Guided Machine Learning workshops were presented through the University of Minnesota's Water Resources Center. This workshop spanned three weeks and was held online via Zoom every Tuesday evening April 13 to April 27. The workshop topics covered basic programming scripts, machine learning knowledge framework, and implementation details. Through the workshop, participants were provided the opportunity to acquire a grasp of the history, fundamentals, as well as hands-on experience with the basics machine learning methods. This series is intended to resume again in Fall of 2021.

April 1, 2021 Minneapolis, MN

Jared Willard is the recipient of the U.S. Department of Energy (DOE) Office of Science Graduate Student Research (SCGSR) award, for his SCGSR research project, “Knowledge-Guided Meta Transfer Learning for Regional Water Quality Prediction in Rivers”, to be conducted at Lawrence Berkeley National Laboratory (LBNL). This award is in recognition of outstanding academic accomplishments and the merit of the research proposed in his SCGSR application, and reflects Jared's advancement in Ph.D. studies and important contributions to the mission of the DOE Office of Science.

April 1, 2020 Minneapolis, MN

Jared Willard and other researchers from Kumar Research Lab published an article: Integrating Physics-Based Modeling with Machine Learning: A Survey. A manuscript that provides a structured and comprehensive overview of techniques to integrate machine learning with physics-based modeling. This manuscript covers current research topics: 1. a summary of application areas for which these approaches have been applied 2. classes of methodologies used to construct physics-guided machine learning models and hybrid physics-machine learning frameworks from a machine learning standpoint 3. a systematic organization of these existing techniques and discuss ideas for future research.