Research
Dr. Doe’s research focuses on advancing open-source data science through machine learning and cloud computing.
Research Areas¶
Data Science
Machine Learning
Open-Source Software Development
Cloud Computing
Patents¶
J. Doe, J. Smith. “Method and system for automated data processing.” U.S. Patent Application No. 12/345,678, filed January 2025.
Books¶
J. Doe (2026). Data Science with Python. Publisher Name. https://
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Refereed Publications¶
Published: 10 papers | Citations: 500+ | h-index: 8
2026
J. Doe, J. Smith, A. Johnson (2026). “Deep learning for geospatial analysis.” Journal of Data Science, 15(3), 123--145. https://
A. Johnson, J. Doe (2026). “Scalable cloud computing for large datasets.” IEEE Transactions on Big Data, 8(2), 456--470. https://
2025
J. Doe, B. Williams (2025). “Open-source tools for reproducible research.” Nature Methods, 22(1), 78--92. https://
C. Brown, J. Doe, D. Lee (2025). “Machine learning in environmental science.” Environmental Modelling & Software, 150, 105--120. https://
Grants¶
Funded¶
As PI
J. Doe (PI). “Scalable Data Science Infrastructure.” National Science Foundation (NSF). $500,000. 2024--2027.
J. Doe (PI). “Open-Source Tools for Machine Learning.” Department of Energy (DOE). $250,000. 2023--2025.
As Co-PI
J. Smith (PI), J. Doe (Co-PI). “Cloud Computing for Scientific Research.” NSF. $750,000. 2024--2028.
Pending¶
J. Doe (PI). “AI-Driven Data Analytics Platform.” NSF. $600,000. 2026--2029. (Submitted March 2026)