Lab Members Join MSU Cloud Computing Cohort
October 9, 2023 - Institute for Cyber-Enabled Research
2023 Cloud Computing Fellows Embark on Journey of Innovation
The 2023 Cloud Computing Fellowship cohort at Michigan State University has embarked on a journey to push the boundaries of traditional high-performance computing. As a joint effort between the Institute for Cyber-Enabled Research (ICER) and the IT Services Research Cyberinfrastructure (RCI) group, this fellowship is dedicated to equipping academic researchers with the knowledge and hands-on experience required to harness the power of cloud computing, a technology that is reshaping the landscape of research and innovation.
Cloud computing allows users to utilize computing resources, such as servers, storage, databases, networking, and software, over the internet. These resources are hosted and managed by cloud service providers in remote data centers, which are more scalable and have a lower barrier to access than building your own high-performance computing center.
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Congratulations and welcome to the new cohort! Read on to learn about each fellow.
Juliana Reed Burroughs Hanle
Biography: Juliana is a Ph.D. student in the Basso Lab studying remote sensing of working landscapes for natural climate solutions and atmospheric greenhouse gas reductions. She is broadly interested in computational approaches to natural climate solutions, but specifically in tracking management and identifying impacts of climate-smart land-use co-benefits. She studied history at Yale College, was a Fulbright research grantee to Norway, and has a Master’s degree in Forestry from the Yale School of the Environment. She has been working to scale sampling approaches at The Soil Inventory Project.
Research Description: Juliana is currently using Synthetic Aperture Radar, which is microwave remote sensing, to detect crop management. She is interested in leveraging cloud computing resources to remotely process and analyze satellite imagery at scale. Specifically, is it possible to swiftly and efficiently process 5-meter resolution images over seven years across the Northern Great Plains?
Ojo Olorunsogo Paul
Biography: Ojo Paul completed his bachelor's degree in Agriculture, specializing in Soil Science, from Ahmadu Bello University in Nigeria and began his career as a Quality Assurance Analyst at DABOL. He furthered his education with a master's degree in Soil Science from Punjab Agricultural University in India and another in Biology from Miami University in Ohio. Currently a Ph.D. student at Michigan State University, he is working on a remote sensing-based index for post-harvest corn residues under the supervision of Prof. Bruno Basso. Passionate about biking and traveling, Paul aims to become an industry leader in agro-ecosystem modeling.
Research Description: Paul’s doctoral research focuses on using remotely sensed imagery to create a new, scalable index for measuring and mapping post-harvest corn residues. By examining the spatial and temporal variability of these residues with remote sensing tools, he aims to better understand their effects on soil health and environmental feedback. Additionally, he is working on identifying proxies for Soil Organic Carbon (SOC) to incorporate them into crop models, thereby improving yield predictions through AI and process-based models.
See the full announcment at ICER.