معرفی
Dr. Feng (George) Yu is an Associate Professor of Computer Science and Information Systems at Youngstown State University in Youngstown, Ohio. He serves as the Campus Champion of NSF Extreme Science and Engineering Discovery Environment (XSEDE) at YSU and has been collaborating with XSEDE and Pittsburgh Supercomputing Center since 2014 to bring national workshop series on High-Performance Computing to YSU.
- Ph.D. in Computer Science, Southern Illinois University (2013)
- M.S. in Pure Mathematics, Shandong University (2008)
- B.S. in Information and Computation Science, Northeastern University (2005)
Dr. Yu's primary research focuses on database management systems, particularly Approximate Query Processing (AQP) for big data analytics. His work spans multiple areas including Cloud Computing, Blockchain, NoSQL Databases, and Bioinformatics. His recent research has centered on error assessment for AQP using bootstrap sampling techniques, as evidenced by his 2024 publications AQPrius and Error Assessment for Multi-Join AQP. He has also made significant contributions to plant genomics through alternative splicing analysis in various crops.
His publication trends show a consistent focus on query processing and optimization, with a recent shift toward more sophisticated error estimation techniques in approximate query processing. His work bridges theoretical database research with practical applications in bioinformatics and educational technology, as seen in his 2024 paper on computing curriculum accessibility for students with ASD.
- Best of QUEST 2024 Finalist (Faculty Advisor)
- Research Professorship (2023, 2022, 2019, 2018)
- Distinguished Professor in Scholarship (2020)
- Best Paper Award at International Conference on Software Engineering and Data Engineering (2019)
- Faculty Membership in The Honor Society of Phi Kappa Phi (2022)
Dr. Yu actively mentors undergraduate researchers, having advised students including Govardhan Gula for the BEST of QUEST project on accelerating bootstrap resampling, and led a CREU-funded project on recommender systems with undergraduate researchers Alyssa Adams, Olivia Bindas, Maddie Cope, and Elizabeth Durflinger. His research has been supported by external funding sources including Amazon Inc. and the Computer Research Association.
He directs the YSU Data Lab, which focuses on data-oriented sciences and operates multiple high-performance research clouds including Sarah Cloud and YSU STEM Cloud. The lab conducts cutting-edge research in approximate query processing, blockchain, and heterogeneous cloud infrastructure.
