Janardhan Rao Doppa

Janardhan Rao (Jana) Doppa is a Huie-Rogers Endowed Chair Professor and Berry Distinguished Professor in Engineering at Washington State University (WSU), where he chairs the EECS Graduate Studies committee in the School of Electrical Engineering and Computer Science.

His research spans artificial intelligence, machine learning, and data-driven science, with emphasis on:

• AI-driven adaptive experimental design for scientific discovery
• Sequential decision-making under uncertainty for agriculture and cyber-physical systems
• Robust machine learning for high-stakes applications
• Machine learning for electronic design automation and sustainable computing

Current projects include NSF-funded work on agricultural AI and materials discovery.

Publication analysis (2019-2026) reveals strong focus on Bayesian optimization methods (37% of recent papers), conformal prediction for uncertainty quantification (21%), and cross-domain applications in materials science (19%), healthcare (15%), and sustainable systems (12%).

Major awards include:

• WSU Faculty Mid-Career Award (2024)
• Voiland College Outstanding Researcher Award (2024)
• 4 Best Paper Awards (2021-2023)
• NSF CAREER Award (2019)
• Outstanding Paper Award, AAAI (2013)

He actively advises 8 PhD students and has graduated 21 PhDs who now hold positions at universities (Minnesota, Houston) and industry labs (Meta, Stanford). Research is supported by NSF, USDA, and industry grants exceeding $5M.

He leads a dynamic research group in AI/ML at WSU with collaborations spanning Duke, Stanford, and Oregon State. Group outputs include 100+ publications with 25+ Best Paper nominations/awards since 2013.