Welcome to Feng Yan's Homepage

I am Assistant Professor (tenure-track) at the Computer Science & Engineering Department of University of Nevada, Reno. I earned both M.S. and Ph.D. degrees from the Computer Science Department of College of William and Mary, where I worked with Evgenia Smirni as well as Alma Riska from EMC. I also worked at Microsoft Research with Yuxiong He, Olatunji Ruwase, and Trishul Chilimbi and HP Labs with Lucy Cherkasova.

I have a broad research interest in Big Data and System areas, especially using data and system techniques to help improve the performance, efficiency, reliability, and security of domain applications. My current focused research areas lie in Deep Learning/Machine Learning, Cloud/Edge/Fog Computing, High Performance Computing, Storage, and the cross-disciplinary topics among them and others.

I am actively publishing at the most prestigious venues in Machine Learning (e.g., NIPS, KDD, AAAI, BMVC, etc.) and Computer Systems (e.g., USENIX ATC, SC, HPDC, FAST, EuroSys, IPDPS, Middleware, ICDCS, ICAC, etc.), as well as the rising top-quality venues in these fields, such as CLOUD, ICPE, etc. I am actively collaborating with industry to solve important yet challenging problems to generate real-world impact.

Please follow ACM SIGMETRICS Twitter, LinkedIn, and YouTube Channel (for any social media questions regarding ACM SIGMETRICS, please contact me at my email address).

PhD/M.S./B.S. (with TA/RA support) Openings: I am always looking for self-motivated students to work with me. If you are interested, please send me your CV, GRE, TOEFL (for international students) and other materials that you believe will help you get the position (e.g., Research Statement, Personal Statement, Publication, Transcripts, Awards, etc.). Please email me at fyan at unr.edu (please do NOT contact me if your GRE or TOEFL score is not ready).
Note: please kindly understand that due to the large volume of application emails I receive, I may not be able to respond every email. However, when I receive enough applications, I will review them in a batch manner and contact you if I decide to move forward with you to the next stage.

Selected Awards and Grants

    • NSF National AI Research Institutes (planning) Award, 2020 (UNR PI)
    • FAA BAKFAA Award, 2020 (Co-PI)
    • NSF REU Award, 2020 (Co-PI)
    • Best Paper Award, CLOUD 2019
    • AWS Cloud Credits for Research Award, 2019 (Sole PI)
    • NSF BIGDATA Award, 2018 (Lead PI)
    • Best Student Paper Award, IEEE CLOUD 2018
    • NSF CRII Award, 2018 (Sole PI)

Publications