I am a Ph.D. candidate in Electrical and Computer Engineering at Rutgers University under the supervision of Professor Ivan Marsic. Before joining Rutgers, I worked for Huawei Technologies Co. Ltd. and obtained my B.A. degree in Communication Engineering at Nanjing University of Posts and Telecommunication.
My research interests lie at Data Mining, Machine Learning, Deep Learning, Process Mining, and Software Engineering in Data Visual Analytics.
My expected graduation time is October 2018. I am actively seeking full-time positions as machine learning scientist or data scientist. Feel free to contact me if you have related positions opening.
Contact: forrest DOT yang AT rutgers.edu | Resume | Google Scholar | Linkedin
Dec 01, 18 | I joined LinkedIn AI, working in the Data Standardization and Knowledge Graph team |
Apr 30, 18 | Two papers accepted by ICHI 2018 |
Apr 24, 18 | One paper submitted to JBI |
Apr 12, 18 | One paper submitted to ECML-PKDD 2018 |
Apr 12, 18 | One paper accepted by ICCDA 2018 |
Oct 01, 17 | One paper accepted by ICDM 2017 Workshop DMBIH 2017 |
Aug 23, 17 | I will present my work @ ICHI 2017 |
Aug 13, 17 | I will present my work "A Data-Driven Process Recommender Framework" @ KDD 2017 |
Aug 01, 17 | Presented my summer internship research to Marcus Weldon, the president of Bell Labs and CTO of Nokia. |
Jul 21, 17 | Short paper accepted by IEEE Intelligent Informatics Bulletin |
Jul 13, 17 | Received $1000 travel award from KDD 2017 |
Jul 11, 17 | Received $750 travel award from ICHI 2017 Conference |
Jun 26, 17 | Two papers accepted by ICHI 2017 Conference |
Medical Workflow Modeling Using Alignment-Guided State-Splitting HMM
IEEE International Conference on Healthcare Informatics (ICHI), 2017
Evaluation of Trace Alignment Quality and its Application in Medical Process Mining
IEEE International Conference on Healthcare Informatics (ICHI), 2017
A Data-driven Process Recommender Framework
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2017
Paper | Promotion Video
Duration-Aware Alignment of Process Traces
16th Industrial Conference on Data Mining ICDM 2016, Mar 2016
Paper | Slides
VITPLA: Visual Interactive Tool on Process Log Analysis
KDD 2016 Workshop on Interactive Data Exploration and Analytics (IDEA)
Paper | Poster
Semi-synthetic Trauma Resuscitation Process Data Generator
IEEE international Conference on Healthcare Informatics 2017
Coding Error Detection for Manually-coded Activity Logs: Case Study with Endotracheal Intubation
2016 MidAtlantic Bioinformatics Conference
Poster
Automatic Workflow Capture and Analysis for Improving Trauma Resuscitation Outcomes
IEEE international Conference on Healthcare Informatics 2016
Abstract | Poster
Summer 2017 | Nokia Bell Labs, Murray Hill, NJ | |
Data Scientist Intern, Internet of things (IoT), with Dr.Jin Cao | ||
Aug 2014 - Now | Children's National Medical Center, Washington, D.C. | |
Data Scientist, Medical Process Analysis, with Dr. Randall S. Burd | ||
Aug 2014 - Now | Rutgers Univerisity, New Brunswick, NJ | |
Research Assistant, with Dr. Ivan Marsic | ||
Sep 2012 - Jun 2012 | Huawei Technologies Co. Ltd, Shenzhen, China | |
Software Engineer in GSM, LTE Network Maintenance | ||
Aug 2011 - May 2012 | Nanjing University of Posts and Telecommunications, Nanjing, China | |
Research Assitant, Peter Grünberg Research Center, with Dr.Jinyong Wang | ||
Summer 2011 | China Telecom, Xuzhou, China | |
Network Engineer Intern |
Software Engineering (Undergraduate 14:332:452) @ Rutgers, 2017 |
Tutorial of Deep Learning @ Bell Labs, 2017 |
Invited (4 out of 32 interns) to present my summer internship research "Automated Feature Learning from Time Series: The Deep Learning Approach" to Marcus Weldon, president of Bell Labs and CTO of Nokia @ Bell Labs, 2017 |
@ KDD 2017 (with $1000 Travel Award) |
@ ICHI 2017 (with $750 Travel Award) |
@ ICHI 2016 (with $1000 Travel Award) |
Received $100 Travel Award from Rutgers Engineering School |
2017 | |
2016 | |
2015 | |
2014 |
Life is short. Follow your heart.