Announcements

We are delighted to welcome Dr. Chetraj Pandey and Dr. Kaiqun Fu to the Department of Computer Science!

Dr. Chetraj Pandey specializes in explainable AI, continual learning, and space weather forecasting. His doctoral research introduced novel solar flare prediction models and ensemble methods that integrate time series and image-based inputs. He also developed techniques for evaluating explanation consistency and localized predictions. Most recently, Dr. Pandey served as a Scientific Researcher with NASA’s Frontier Development Lab (FDL-X 2024), where he led the continual learning framework for DAGGER++ and supported the redevelopment of SHEATH, both operational pipelines for forecasting geomagnetic perturbations with real-time data.

Dr. Kaiqun Fu focuses on spatiotemporal data mining, graph neural networks (GNNs), machine learning, and GeoAI, with wide-ranging applications in transportation systems, power systems, social media mining, and urban safety. His research has been supported by more than $1.7 million in competitive funding, including NSF CISE: CRII and TIP: ITE awards as PI, along with collaborative NSF and NASA projects. He has published extensively in top venues such as AAAI, IJCAI, ACM SIGSPATIAL, IEEE BigData, and ACM Computing Surveys, advancing fields such as traffic incident forecasting, social event detection, urban safety modeling, and physics-informed ML.

Please join us in giving a warm welcome to Dr. Pandey and Dr. Fu as they begin their journey with our academic community!