Feng Yan
Scholar

Feng Yan

Google Scholar ID: iLE0_VAAAAAJ
University of Houston
AIBig DataCloud ComputingHigh Performance ComputingPerformance Evaluation
Citations & Impact
All-time
Citations
5,336
 
H-index
29
 
i10-index
60
 
Publications
20
 
Co-authors
18
list available
Resume (English only)
Academic Achievements
  • Recipient of the Regents' Rising Researcher Award, NSF CAREER Award, NSF CRII Award, NSF BIGDATA Award, NSF National AI Research Institutes (planning) Award, NSF EPSCoR Award, NSF REU Award, FAA BAKFAA Award, AWS Cloud Credits for Research Award, CSE Best Researcher Award, Outstanding Service Award of IEEE ACSOS, Best Student Paper Award at IEEE CLOUD Conference, Best Paper Award at CLOUD Conference, and Best Student Paper Award at ITNG Conference.
Research Experience
  • Currently a tenured Associate Professor in the Department of Computer Science and Electrical and Computer Engineering at the University of Houston, and the director of the Intelligent Data and Systems Lab (IDS Lab). Previously, he was a tenured Associate Professor at the University of Nevada, Reno.
Education
  • Earned M.S. and Ph.D. degrees in Computer Science from William & Mary, where he worked with Evgenia Smirni and Alma Riska from EMC. Also worked at Microsoft Research with Yuxiong He, Olatunji Ruwase, and Trishul Chilimbi, and at HP Labs with Lucy Cherkasova.
Background
  • Research Interests: Big Data, Machine Learning, and Systems; Professional Field: Conducts interdisciplinary research, using Big Data and Machine Learning to innovate in domain science and engineering.
Miscellany
  • Always looking for self-motivated students to join his team. Interested candidates should send their CV along with materials that will help them get the position (e.g., Research Statement, Personal Statement, Publications, Transcripts, Awards, etc.). For Fall enrollment, contact by May; for Spring, by October. To receive prioritized consideration and an email response, pick one or a few papers from his recent publications and write a review.