iHARP Leadership recently attended a successful NSF HDR (Harnessing the Data Revolution) meeting in Alexandria, VA.  Dr. Vandana Janeja et al. presented on how iHARP is harnessing the power of data science and polar science in order to tackle climate change.

Congratulations on a successful meeting!

Keep following us for exciting and groundbreaking work that is being conducted by iHARP members!

Congratulations to Chhaya Kulkarni for being selected as the next 2023 ESIP Community Fellow. As apart of her fellowship, Chhaya will work apart of the  ‘Data Readiness Cluster’ where she will collaborate with current leader Yuhan (Douglas) Rao, a NOAA affiliate. The ESIP fellowship program is a prestigious and highly selective fellowship. Chhaya is one of only eight students who were selected to participate in the 2023 cohort.

Chhaya is currently a PhD student at UMBC, her area of focus is Information systems with primary research in spatiotemporal data mining. In her spare time she likes to ready non-fiction books, bake and paint.

Please join us in congratulating Chhaya on being selected as the 2023 ESIP Community Fellow.

Benchmarking Probabilistic Machine Learning Models for Arctic Sea Ice.

Authored by:

Sahara Ali, Seraj al Mahmud Mostafa, Xingyan Li, Sara Khanjani, Jianwu Wang, James Foulds, Vandana Janeja.

iHARP members, and others, recently had their paper accepted by IEEE as a part of the 2022 International Geoscience and Remote Sensing Symposium (IGARSS). Their work explores the use of AI in tackling climate change by utilizing machine learning. The paper will become publicly available on July 1, 2023.

A sneak preview of the paper can be found by following this link:

https://drive.google.com/file/d/1oXotdE8TDDAu0jzs0VrEb6R5pr4xE8yt/view

Join us in congratulating the authors on their hard work and getting their paper accepted by IGARSS.

Tens of millions of people live in areas that are at risk for flooding due to climate change, sea level rise, and melting of glaciers. UMBC’s Vandana Janeja is leading a team of researchers using data science, machine learning, artificial intelligence (AI), and polar science to analyze enormous volumes of climate data, and Arctic and Antarctic observations in ways that could help populations prepare for and respond to these risks.

Janeja, professor and chair of information systems, is the principal investigator on the five-year, $13 million grant from the National Science Foundation’s Harnessing the Data Revolution (HDR) Big Idea program. With support from the grant, Janeja is directing iHARP, the NSF HDR Institute for Harnessing Data and Model Revolution in the Polar Regions.

To read the full article, please visit: 

https://umbc.edu/stories/umbc-to-lead-climate-focused-nsf-data-science-institute/