معرفی
Janardhan Rao (Jana) Doppa is an Associate Professor in the School of Electrical Engineering and Computer Science (EECS) at Washington State University (WSU). He holds the Huie-Rogers Endowed Chair in Computer Science and the Berry Distinguished Professorship in Engineering. His research focuses on artificial intelligence, machine learning, and data-driven science, with applications in structured prediction, Bayesian optimization, and sustainable computing. He chairs the EECS Graduate Studies program and has received awards such as the NSF CAREER Award (2019) and the Voiland College Anjan Bose Outstanding Researcher Award (2024).
Education:
- Ph.D., Computer Science, Oregon State University (2014)
- M.Tech., Computer Science, Indian Institute of Technology Kanpur (2006)
Research Interests: Dr. Doppa's work spans AI-driven adaptive experiment design, sequential decision-making under uncertainty, robust machine learning, and applications in agriculture, health informatics, and electronic design automation. He leads the NSF-USDA AI Institute for Agricultural Decision Support and explores AI methods for nanoporous materials design and sustainable computing.
Awards:
- NSF CAREER Award (2019)
- Voiland College Anjan Bose Outstanding Researcher Award (2024)
- Best Paper Awards at multiple conferences (e.g., ACM/IEEE Embedded Systems Week 2023)
- Outstanding Junior Faculty in Research (2020) and Reid Miller Teaching Excellence (2018)
Advising & Grants: He advises a dynamic group of PhD and MS students, many of whom have won awards. His grants include NSF-CAREER and USDA AI Institute funding. He teaches courses like Machine Learning and Structured Prediction at WSU.
Labs/Teams: His research group collaborates with industry and academia, advancing AI for engineering and scientific domains through interdisciplinary projects.
