Ph.D. student 323, Ronald Tutor Hall (RTH) Computer Science Department Viterbi School of Engineering University of Southern California Email: luantran@usc.edu

Biography

I am a fourth year Ph.D. candidate in Computer Science at the University of Southern California. My advisor is Prof. Cyrus Shahabi. Before that, I received my Bachelor degree in Computer Science from Centre for Talents Training in Hanoi University of Science and Technology in 2013, under the supervision of Prof. Huong Thanh Le.

I'm generally interested in data mining large scale streaming data, spatio-temporal datasets, e.g., outlier detection in data stream spatial crowdsensing and deep learning. My past research experiences include named entity recognition in natural language. More information is available on my resume.

Projects

• Google Inc., Mountain View, CA
  Software Engineer Intern, 2018/05 - 2018/08
  Query Driven Materialization: Applying deep neural network to predict view maintenance cost, linear regression for cardinality estimation (C++, Python) for Google Mesa, Napa databases.
• Music Style Transfer using Deep Learning
  Training a Neural Machine Translation model that knows some characteristics of Jazz songs and is able to transform the non-Jazz songs to Jazz ones.
• Infolab, USC
  Research Assistant, 2014/08 - Present
  ATOM-HP Patient Data Analytics : Designed database (MySQL) and web services for analyzing data of patients collected by using Microsoft Band SDKs and APIs.
  Data Cleansing: Implementing algorithms to detect outliers and recover true data in large-scale data streams using Microsoft StreamInsight, PI Server.
• Viettel Research and Development Institute, Hanoi, Vietnam
  Software Engineer, Hanoi, Vietnam, 2013/08 - 2014/07
  Virtual Desktop Infrastructure : Developed a Virtual Desktop Infrastructure solution and built an IaaS system using Apache CloudStack, XenServer, and open source Ulteo Open Virtual Desktop (OVD).

Publications

Conferences

• A Real-Time Framework for Task Assignment in Hyperlocal Spatial Crowdsourcing
  Luan Tran, Hien To, Liyue Fan, and Cyrus Shahabi.
  PACM Transactions on Intelligent Systems and Technology (TIST), March 2017
  [Paper]
• Distance-based Outlier Detection In Data Streams
  Luan Tran, Liyue Fan, and Cyrus Shahabi.
  Proceedings of the 42nd International Conference on Very Large Data Bases. (VLDB 2016), 2016
  [Paper]
• Real-Time Task Assignment in Hyperlocal Spatial Crowdsourcing under Budget Constraints
  Hien To, Liyue Fan, Luan Tran and Cyrus Shahabi.
  In Proceeding of IEEE International Conference on Pervasive Computing and Communications (PerCom), 2016
  [Paper]
• Optimizing Genetic Algorithm in Feature Selection for Named Entity Recognition
  Huong Thanh Le, Luan Van Tran, Xuan Hoai Nguyen, Thi Hien Nguyen.
  Proceedings of the Sixth International Symposium on Information and Communication Technology (SoICT), 2015
  [Paper]

Honors Awards

• Vietnam Education Foundation (VEF) Fellowship to pursue Ph.D. degree in the U.S.
  USC, US, 2014-2019
  
• Second Place in the National Mathematical Analysis Contest for university students.
  Vietnam, 2009
  
• Consolation Prize in the Algebra Olympiad held by Hanoi University of Science and Technology.
  Vietnam, 2009
  

Miscellaneous Links

• LinkedIn