The Institute for Data-Intensive Engineering and Science, or IDIES, is committed to helping meet the needs of student researchers, as a growing number of undergraduates undertake their own data-intensive research.
Through the annual Summer Student Fellowship (SSF), IDIES offers students $6,000 in funding to complete 10-week research projects from June to August.
Eligible projects must involve data science and data-intensive techniques, have mentorship from a current IDIES member, and be entirely student led and student designed.
The ideal SSF project:
Relates to the IDIES mission—to enhance the JHU mission of "Knowledge for the World" by providing intellectual leadership in data-driven science; research and education in adaptive technologies; technical and domain expert guidance via collaboration and consultation; open and sustainable long-term access to high-value datasets
Encompasses the potential to advance knowledge
Challenges and seeks to shift current research/practice by utilizing novel concepts, approaches, or methodologies
Benefits society and contributes to the achievement of specific, desired societal outcomes
From the many applications we received, the following five student researchers were selected based on their project proposals and previous work within their field.
The IDIES 2024 SSF recipients are:
Akshaya Ajith
Accelerated Materials Discovery for High-Entropy Hydrogen Fuel Cell Catalysts (HE-FCC)Millie "Xinyu" Mi
Quantifying and Visualizing Urban Emissions of US CitiesKrishna Mukunda
Advancing Otolith Function Assessment: Integrating Machine Learning With Video Oculography for Enhanced Vestibular DiagnosisChris "Le" Wang
Computational Study on Accretion Modes of Planet Formation and Their Impact on Exoplanet PopulationDavid Zhou
Simulating Murine and Human Cerebrocortical Development Through an Agent-Based Computational Model
To read more about this year's fellows, including project summaries, or if you would like to learn more about the IDIES SSF program, visit its website.