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Bio

Dr. Anuj Karpatne is an Associate Professor in the Department of Computer Science at Virginia Tech, where he develops data mining and machine learning methods to solve scientific and socially relevant problems. A key focus of Dr. Karpatne’s research is to advance the field of knowledge-guided machine learning for applications in several domains including climate science, hydrology, ecology, geophysics, trait-based biology, mechanobiology, quantum mechanics, and fluid dynamics. He received the NSF CAREEER Award in 2023, the Outstanding New Assistant Professor Award by the College of Engineering at VT in 2022, the Rising Star Faculty Award by the Department of Computer Science at VT in 2021, and the Inaugural Research Fellow by the IS-GEO Research Coordination Network in 2019. He currently serves as an Associate Editor for the ACM Transactions on Knowledge Discovery from Data (TKDD) journal. Dr. Karpatne is also a co-author of the second edition of the textbook, “Introduction to Data Mining”, and the lead editor of the first comprehensive book on “Knowledge-guided Machine Learning”.


Contact Details

Email Address: karpatne-AT-vt.edu
Office Address: Data & Decisions Sciences Building Room 438,
727 Prices Fork Rd, Blacksburg VA 24060
Mailing Address: Torgersen Hall Room 1160,
620 Drillfield Dr, Blacksburg VA 24061

For Prospective Students

Thank you for your interest in working with me. I am currently looking for undergraduate students who are already at VT or prospective PhD students. I am currently NOT in a position to take MS/MEng students. Please follow the following steps:

  1. Check my lab’s webpage to learn about our current research projects.
  2. Fill out the following survey: https://forms.gle/3CUEa57bAo5fjceX8.
  3. Send me an email indicating that you have filled out the survey so that we can follow-up.

Please note that due to the volume of emails I receive everyday, I am unable to respond to all emails. Please keep your email short and focused to the point to make it easier for me to respond. Here is an article on how to write effective emails. Thank you!