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 Beiyu Lin

(pronounced Bay-You)

Ph.D. Candidate (Ph.D. Loading....)

Center for Advanced Studies in Adaptive Systems (CASAS) lab

School of Electrical Engineering and Computer Science (EECS)

Washington State University

Contact: beiyu.lin@wsu.edu

My Github account: https://github.com/BeiyuLinCS

         
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I am actively recruiting students for a master's degree to work with me in CS department at U of Texas -- Rio Grande Valley (provide full scholarships for 2 students for 2 years). If you or someone you know are interested, please reach out.
News

08/01/2020: I receive a student registration award to attend KDD 2020.
07/30/2020: I serve as a Program Committee for Web Mining and Content Analysis track at WWW'21.
06/10/2020: I serve as a Program Committee for the International Workshop on Big Data Reduction (IWBDR'20), a worshop of IEEE BigData20.
06/05/2020: I got the professional development grants (funded by graduate & professional student association at WSU).
04/03/2020: I will join the U of Texas -- Rio Grande Valley as a tenure-track assistant professor in Fall 2020.
11/18/2019: Our paper has been accepted in Journal of Ambient Intelligence and Smart Environments.
05/29/2019: My application to the ACM-IMS Interdisciplinary Summit on the Foundations of Data Science has been accepted (funded by NSF),SF, CA (June 15th, 2019).
05/15/2019: My poster proposal has been accepted for the General Poster Session at Grace Hopper Celebration 2019, Orlando, FL (Oct 1-4, 2019).
04/18/2019: I serve as a technical program committee of SmartStudents'19, a workshop of SMARTCOMP'19.
03/28/2019: I got the travel grant to attend SDM (funded by Intel and NSF).
03/18/2019: My application to the SDM Doctoral Forum has been accepted, Alberta, Canada (May 2nd - 4th).
03/08/2019: I received the 2nd place in the 3 minutes thesis competition for Ph.D. candidates, Voiland College of Engineering and Architecture, WSU.
03/04/2019: I will represent the computer science department to compete Three Minutes Thesis in Violand College of Engineering and Architecture.
02/01/2019: I got the scholarship to attend Strata Data Conference in San Francisco, CA (March 25th- 28th).
01/24/2019: I will be a speaker at Analytics and Data Summit 2019 in Redwood, CA (March 12th- 14th).
01/18/2019: I will teach Cpts 121 (Program Desgin and Development C/C++) in Summer 2019 Session I (May 6th - June 14th).
01/07/2019: I accepted the summer 2019 intern offer from Dell, Seattle, WA (June 17th - August 16th).
12/19/2018: I will give a guest lecture about SVM for the class Introduction to Machine Learning ( March 19th).
09/28/2018: I passed the Ph.D. preliminary exam.
08/05/2018: Our paper is accpted by IEEE Journal of Biomedical and Health Informatics (J-BHI)!
Journal Impact Factor (2017): 3.850. J-BHI is ranked as one of the top 3 (out of 57) Health Information Management Journals according to H-index.
04/05/2018: I got the travel grant to attend Google I/O 2018, May 8th - 10th, Mountain View, CA.
04/02/2018: I am selected to participate in the Elson S. Floyd College of Medicine 2018 Hackathon, April 13th - 15th, Spokane, WA.
02/21/2018: I passed the Ph.D. Qualifying Exam.
02/09/2018: Our poster abstract has been accepted for presentation at 2018 GPSA Research Exposition, March 30th.
10/07/2017: I accepted summer 2018 intern offer from Honeywell, Atlanta, GA.
08/17/2017: I got the travel grant to attend Google Summer of Code 2017 Mentor Summit, Oct. 13th - 14th, Sunnyvale, CA.
07/17/2017: I got EECS's Scholarship to atttend 2017 Grace Hopper Celebrating, Oct. 4th-6th, Orlando, FL.

Education

Ph.D. in Computer Science, Washington State University Jan. 2016-Present. GPA: 3.8 Advisor: Dr. Diane J. Cook
Research
Beiyu's research involves but not limited to machine learning, deep learning, human dynamics, behavior modeling, home/building security, biomedical applications of AI, and smart environments.

If you (undergraduate/master/Ph.D. student etc) are interested in working together, please email me.

Beiyu focuses on behavior modeling by uniting algorithms (e.g. machine learning, data mining, and computational modeling) with domain experts' perspectives (e.g., clinicians, psychologists, and civil and environmental engineers). She aims to build up an adaptive system based on behavior data and broaden the range of data domains and applications. The recipient of several external scholarships, Beiyu has given multiple invited talks and has taught and mentored students from diverse populations. She would like to help the next generation of computer science students become data mining and educational leaders.