Daniel Kiv

I am a third-year PhD student in Computer Science at the University of Illinois at Urbana-Champaign (UIUC) working with Prof. Shaowen Wang, at the NSF I-GUIDE. At UIUC, I collaborate with these wonderful people: Zhaonan Wang and Matthew Tan (URAP).

email  /  google scholar / orcid

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Diagnosis of Antarctic Blowing Snow with MERRA-2 Reanalysis

Yuekui Yang, Daniel Kiv, Surendra Bhatta, Manisha Ganeshan, Xiaomei Lu, Stephen Palm
American Geophysical Union (AGU) Fall Meeting, 2022
Journal of Applied Meteorology and Climatology, 2023

Machine Learning, Big Data and Spatial tools: A Combination to Reveal Complex Facts That Impact Environmental Health
David J. Lary, Lakitha OH Wijerante, Gebreab K. Zewdie, Daniel Kiv, Daji Wu, Fazlay Faruque, Shawhin Talebi, Estelle Levetin, Yu Xiaohe, Yichao Zhang, Rebecca J. Allee, Nabin Malakar, Annette Walker, Hamse Mussa

Advancement in Airborne Particulate Estimation using Machine Learning
Lakitha OH Wijerante, Gebreab K. Zewdie, Daniel Kiv, Adam Aker, David J. Lary, Shawhin Talebi, Estelle Levetin

Geospatial Technology for Human Well-being and Health, Springer International Publishing, 2021
[link to book]

BLSN storm
Study of Antarctic Blowing Snow Storms Using MODIS and CALIOP Observations With a Machine Learning Model

Yuekui Yang, Adam Anderson, Daniel Kiv, Justin Germann, Maya Fuchs, Stephen Palm, Tao Wang
Earth and Space Science, 2021

smol: Sensing Soil Moisture using LoRa
Daniel Kiv
*, Garvita Allabadi*, Berkay Kaplan, Robin Kravets
1st ACM Workshop on No Power and Low Power Internet-of-Things, 2021
* equal contribution

calibration airbourne
Using Machine Learning for the Calibration of Airborne Particulate Sensors

Lakitha Wijeratne, Daniel Kiv, Adam Aker, Shawhin Talebi, David Lary
Sensors, 2020
[paper][EPA P3 expo][EPA abstract]

the brain is wider than the sky ~ 632 | template source code