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 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 streams, spatial crowdsensing and deep learning. My past research experiences include named entity recognition in natural language. More information is available on my resume.

Projects

• Infolab, USC
  Research Assistant, 2014/08 - Present
  
  Outlier Detection In Data Streams: Presented a survey and a comprehensive evaluation of the existing methods for distance-based outlier detection in data streams; proposed a framework to detect outliers in non-stationary data streams; a framework to detect outliers in mixed-type data and a new method to detect distance-based outliers.
  
  Bus Arrival Time Estimation:Propose and deploy a framework to early predict bus arrival time using predicted traffic flow in LA.
  
  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.
  
• 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.
• 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

• Crosstown Foundry: A Scalable Data-driven Journalism Platform for Hyper-local News
  Luciano Nocera, George Constantinou, Luan Tran , Seon Ho Kim, Gabriel Kahn, and Cyrus Shahabi, Proceedings of the 2021International Conference on Management of Data (SIGMOD ’21), Demo paper,Virtual Event, China, June 20–25.
  
• Clustering Mixed-Type Data With Correlation-Preserving Embedding
  Luan Tran, Liyue Fan, and Cyrus Shahabi
  The 26th International Conference on Database Systems for Advanced Applications (DASFAA 2021), April, 2021.
  
• Real-Time Distance-based Outlier Detection in Data Streams
  Luan Tran, Min Y. Mun, and Cyrus Shahabi
  Proceedings of the 47th International Conference on Very Large Data Bases (VLDB 2021), 2021
  [Paper]
• DeepTRANS: A Deep Learning System for Public Bus Travel Time Estimation using Traffic Forecasting
  Luan Tran, Min Y. Mun, Matthew Lim, Jonah Yamato, Nathan Huh, and Cyrus Shahabi
  Proceedings of the 46th International Conference on Very Large Data Bases (VLDB 2020), August 31 - September 4, 2020
  [Paper]
• MultiFusionNet: Atrial Fibrillation Detection With Deep Neural Networks
  Luan Tran, Yanfang Li, Luciano Nocera, Cyrus Shahabi, and Li Xiong
  AMIA 2020 Information Summit (AMIA 2020), March 23-26, 2020
  [Paper]
• Fast Distance-based Outlier Detection in Data Streams based on Micro-clusters
  Luan Tran, Liyue Fan, and Cyrus Shahabi
  Proceedings of the Tenth International Symposium on Information and Communication Technology (SoICT 2019), Dec 4-6, 2019
  [Paper]
• Representation Learning for Early Sepsis Prediction
  Luan Tran, Manh Nguyen, and Cyrus Shahabi
  2019 Computing in Cardiology (CINC 2019), 8-11 Sept. 2019
  [Paper]
• Outlier Detection in Non-stationary Data Streams
  Luan Tran, Liyue Fan, and Cyrus Shahabi
  In 31st International Conference on Scientific and Statistical Database Management, (SSDBM 2019), July 23-25, 2019
  [Paper]
• 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)
  [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