publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. Data science tools and techniques to support data analytics in transportation applications
    Linh B Ngo and Nguyen TT Ho
    In Data Analytics for Intelligent Transportation Systems, 2025
  2. Social media data in transportation
    Sakib M Khan, Linh B Ngo, Eric A Morris, Md Tanvir Ashraf, Kakan Dey, and Yan Zhou
    In Data analytics for intelligent transportation systems, 2025

2024

  1. FACE: A Framework for AI-Driven Coding Generation Evaluation
    Bao Ngo, Jack Formato, James J May, Nguyen Ho, Hoang Bui, and Linh B Ngo
    Journal of Computing Sciences in Colleges, 2024
  2. Predicting ChatGPT’s Ability to Solve Complex Programming Challenges
    Nguyen Ho, James May, Bao Ngo, Jack Formato, Linh Ngo, Hoang Bui, and others
    In 2024 IEEE International Conference on Big Data (BigData), 2024

2023

  1. Exploring ChatGPT’s Ability to Solve Programming Problems with Complex Context
    Nghia D Tran, James J May, Nguyen Ho, and Linh B Ngo
    Journal of Computing Sciences in Colleges, 2023
  2. An AI-Based Framework for Translating American Sign Language to English and Vice Versa
    Vijayendra D Avina, Md Amiruzzaman, Stefanie Amiruzzaman, Linh B Ngo, and M Ali Akber Dewan
    Information, 2023
  3. Sustainable and Scalable Setup for Teaching Big Data Computing
    Linh B Ngo and Hoang Bui
    Journal of Computational Science, 2023
  4. A Kubernetes Framework for Learning Cloud Native Development
    Austin Reppert, Brian Montecinos-Velazquez, Harrison Kahl, Rackeem Reid, Danielle Rivas, Dominic Spampinato, Hudson Zhong, and Linh B Ngo
    Journal of Computing Sciences in Colleges, 2023
  5. Causal Associations between Temporal Events
    Nguyen Ho, Trinh Cong Le, Nguyen Tuong Huynh, Linh B Ngo, and others
    In 2023 IEEE International Conference on Big Data (BigData), 2023

2022

  1. Experience in Teaching Cloud Computing with a Project-Based Approach
    Linh B Ngo
    Journal of Computing Sciences in Colleges, 2022
  2. Webots. HPC: a parallel simulation pipeline for autonomous vehicles
    Matt Franchi, Rebecca Kahn, Mashrur Chowdhury, Sakib Khan, Ken Kennedy, Linh B Ngo, and Amy Apon
    In Practice and Experience in Advanced Research Computing, 2022
  3. A Parallel Autonomous Vehicle Simulation Pipeline on High-Performance Computing
    Matt Franchi, Rebecca Kahn, Linh B Ngo, Sakib Khan, Mashrur Chowdhury, Ken Kennedy, and Amy Apon
    2022

2021

  1. Viability of azure iot hub for processing high velocity large scale iot data
    Wajdi H Halabi, Daniel N Smith, John C Hill, Jason W Anderson, Ken E Kennedy, Brandon M Posey, Linh B Ngo, and Amy W Apon
    In Companion of the ACM/SPEC International Conference on Performance Engineering, 2021
  2. Studying Break-in Attempts Across Multiple Servers Using Apache Spark and Security Logs
    Tyler Clark, Kevin Codd, and Linh B. Ngo
    In Spring Conference of the Pennsylvania Computer and Information Science Educators, 2021

2020

  1. Virtual cluster for HPC education
    Linh B Ngo and Jon Kilgannon
    Journal of Computing Sciences in Colleges, 2020
  2. Multi-class twitter data categorization and geocoding with a novel computing framework
    Sakib Mahmud Khan, Mashrur Chowdhury, Linh B Ngo, and Amy Apon
    Cities, 2020
  3. Containerizing CS learning environments
    Linh B Ngo, Richard Burns, and Si Chen
    Journal of Computing Sciences in Colleges, 2020

2019

  1. Using CloudLab as a Scalable Platform for Teaching Cluster Computing
    Linh B Ngo and Jeff Denton
    The Journal of Computational Science Education, 2019
  2. Non-Real-Time Transportation Applications: Potential Use of Connected Vehicle Data and Data Infrastructure Requirements
    Sakib Mahmud Khan, Mashrur Chowdhury, and Linh B Ngo
    Journal of Infrastructure Systems, 2019
  3. Building a scalable forward flux sampling framework using big data and hpc
    Ryan S DeFever, Walter Hanger, Sapna Sarupria, Jon Kilgannon, Amy W Apon, and Linh B Ngo
    In Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019
  4. Computing infrastructures to support cybersecurity education
    Linh B Ngo, Liu Cui, and Si Chen
    In 34th Annual Conference of The Pennsylvania Association of Computer and Information Science Educators, 2019

2018

  1. Unifying computing resources and access interface to support parallel and distributed computing education
    Linh B Ngo, Ashwin Trikuta Srinath, Jeffrey Denton, and Marcin Ziolkowski
    Journal of Parallel and Distributed Computing, 2018
  2. Combining HPC and Big Data Infrastructures in Large-Scale Post-Processing of Simulation Data: A Case Study
    Yu Li, Xiaohong Zhang, Ashwin Srinath, Rachel B Getman, and Linh B Ngo
    In Proceedings of the Practice and Experience on Advanced Research Computing, 2018
  3. Infrastructure for transportation cyber-physical systems
    Brandon Posey, Linh Bao Ngo, Mashrur Chowdhury, and Amy Apon
    In Transportation Cyber-Physical Systems, 2018
  4. Saffire: Enabling Large Scale Simulations of Rare Events
    Sapna Sarupria, Ryan DeFever, Walter Hanger, Linh B Ngo, and Amy Apon
    In 2018 AIChE Annual Meeting, 2018

2017

  1. A distributed message delivery infrastructure for connected vehicle technology applications
    Yuheng Du, Mashrur Chowdhury, Mizanur Rahman, Kakan Dey, Amy Apon, Andre Luckow, and Linh Bao Ngo
    IEEE Transactions on Intelligent Transportation Systems, 2017
  2. Random access in nondelimited variable-length record collections for parallel reading with hadoop
    Jason Anderson, Christopher Gropp, Linh B Ngo, and Amy Apon
    In 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 2017

2016

  1. An Innovative Way to Manage Data for Connected Vehicle Applications
    Mizanur Rahman, Yuheng Du, Linh Bao Ngo, Kakan Dey, Amy Apon, and Mashrur Chowdhury
    In Transportation Research Board 95th Annual Meeting, 2016
  2. Elucidating heterogeneous ice nucleation mechanisms using large scale rare event simulations
    Sapna Sarupria, Brittany Glatz, Ryan Defever, Walter Hanger, Linh B Ngo, and Amy Apon
    In Abstracts of Papers of the American Chemical Society, 2016

2015

  1. POTENTIALS OF ONLINE MEDIA AND LOCATION-BASED BIG DATA FOR URBAN TRANSIT NETWORKS IN DEVELOPING COUNTRIES
    Kelsey Lantz, Sakib Khan, Linh B Ngo, Mashrur Chowdhury, Sarah Donaher, and Amy Apon
    In Transportation Research Board 94th Annual Meeting, 2015
  2. Dynamic Provisioning of Data Intensive Computing Middleware Frameworks: A Case Study
    Michael E Payne, Linh B Ngo, Flavio Villanustre, Richard Taylor, and Amy W Apon
    In Proceedings of the 1st Workshop on The Science of Cyberinfrastructure: Research, Experience, Applications and Models, 2015
  3. Evaluating R-based big data analytic frameworks
    Mei Liang, Cesar Trejo, Lavanya Muthu, Linh B Ngo, Andre Luckow, and Amy W Apon
    In 2015 IEEE International Conference on Cluster Computing, 2015
  4. Scalable Forward Flux Sampling, ScaFFS: Software platform to study rare events in molecular simulations
    Walter Hanger, Ryan S DeFever, Linh B Ngo, Amy Apon, and Sapna Sarupria
    In SC15 Workshop: Producing High Performance and Sustainable Software for Molecular Simulation, 2015
  5. A Punctuated Equilibrium Theory of Investment in High-Performance Computing
    Amy W Apon, Alexander Herzog, Linh B. Ngo, Michael E. Payne, and Paul W. Wilson
    In Atlanta Conference on Science and Science Innovation Policy, 2015

2014

  1. Assessing the Effect of High Performance Computing Capabilities on Academic Research Output
    Amy W. Apon, Linh B. Ngo, Michael E. Payne, and Paul W. Wilson
    Empirical Economics, 2014
  2. Teaching HDFS/MapReduce Systems Concepts to Undergraduate
    Linh B Ngo, Edward B Duffy, and Amy W. Apon
    In NSF/TCPP Workshop on Parallel and Distributed Computing Education, 2014
  3. Synthetic Data Generation for the Internet of Things
    Jason Anderson, Ken Kennedy, Linh Bao Ngo, Andre Luckow, and Amy W. Apon
    In IEEE International Conference on Big Data, 2014
  4. Managing the Academic Data Lifecycle: A Case Study of HPCC
    Michael E. Payne, Linh B. Ngo, Flavio Villanustre, and Amy W. Apon
    In IEEE Workshop on Scholarly Big Data: Challenges & Issues, 2014

2013

  1. JUMMP: Job Uninterrupted Maneuverable MapReduce Platform
    William Clay Moody, Linh B. Ngo, and Amy W. Apon
    In IEEE Cluster 13, 2013
  2. Academic Publishing as a Social Media Paradigm
    Michael E. Payne, Linh B. Ngo, and Amy W. Apon
    In IEEE Workshop on Scholarly Big Data, 2013
  3. Efficiency as a Measure of Knowledge Production of Research Universities
    Amy Apon, Linh Bao Ngo, Michael E. Payne, and Paul W Wilson
    In The Atlanta Conference on Science of Science and Innovation Policy, 2013

2012

  1. An empirical study on forecasting using decomposed arrival data of an enterprise computing system
    Linh Bao Ngo, Amy Apon, and Doug Hoffman
    In 2012 Ninth International Conference on Information Technology-New Generations, 2012
  2. An architecture for mining and visualization of us higher educational data
    Linh B Ngo, Vijay Dantuluri, Michael Stealey, Stan Ahalt, and Amy Apon
    In 2012 Ninth International Conference on Information Technology-New Generations, 2012
  3. An Infrastructure to Support Data Integration and Curation for Higher Educational Research
    Pengfei Xuan, Kimberly Ferguson, Christin Marshall, John McCann, Linh B Ngo, Yueli Zheng, and Amy W Apon
    In the 8th IEEE International Conference on eSccience, 2012

2010

  1. High performance computing instrumentation and research productivity in US universities
    Amy W Apon, Linh B Ngo, Stanley Ahalt, Vijay Dantuluri, Constantin Gurdgiev, Moez Limayem, and Michael Stealey
    Journal of Information Technology Impact, 2010
  2. A forecasting capability study of empirical mode decomposition for the arrival time of a parallel batch system
    Linh B Ngo, Amy Apon, and Doug Hoffman
    In 2010 Seventh International Conference on Information Technology: New Generations, 2010
  3. Performance Modeling of Enterprise Grids
    Doug L Hoffman, Amy Apon, Larry Dowdy, Baochuan Lu, Nathan Hamm, Linh Ngo, and Hung Bui
    In Data Engineering: Mining, Information and Intelligence, 2010

2009

  1. Application of Empirical Mode Decomposition to the Arrival Time Characterization of a Parallel Batch System Using System Logs
    Linh B Ngo, Baochuan Lu, Hung Bui, Amy Apon, Nathan Hamm, Larry Dowdy, Doug Hoffman, and Denny Brewer
    In 2009 International Conference on Modeling, Simulation, and Visualization Methods, 2009

2008

  1. Capacity Planning of a Commodity Cluster in an Academic Environment: A Case Study
    Baochuan Lu, Linh B Ngo, Hung Bui, Amy Apon, Nathan Hamm, Larry Dowdy, Doug Hoffman, and Denny Brewer
    In LCI International Conference on High-Performance Clustered Computing, 2008
  2. Workload Modeling for Performance Management.
    Baochuan Lu, Linh B Ngo, Hung Bui, Amy Apon, Nathan Hamm, Larry Dowdy, Doug Hoffman, and Denny Brewer
    In Int. CMG Conference, 2008
  3. Capacity Planning of Supercomputing Resources in an Academic Environment: A Case Study
    Baochuan Lu, Linh B Ngo, Hung Bui, Amy Apon, Nathan Hamm, Larry Dowdy, Doug Hoffman, and Denny Brewer
    In The Seventh Annual Conference on Applied Research in Information Technology, 2008
  4. Workload Characterization using Empirical Mode Decomposition
    Linh B Ngo, Baochuan Lu, Hung Bui, Amy Apon, Nathan Hamm, Larry Dowdy, Doug Hoffman, and Denny Brewer
    In The Seventh Annual Conference on Applied Research in Information Technology, 2008

2007

  1. Shibboleth as a tool for authorized access control to the Subversion repository system
    Linh B Ngo and Amy W Apon
    Journal of Software, 2007
  2. Using shibboleth for authorization and authentication to the subversion version control repository system
    Linh B Ngo and Amy Apon
    In Fourth International Conference on Information Technology (ITNG’07), 2007