Page 38 - BKA HCM

THE
THE
DIRECTORY
Faculty of Computer Science and Engineering DIRECTOR
ENGINEERI
FOR ENGINEERING
Linking University Researchers to Industry and Co mmuni t y
Linking University Researchers to Industry and Community
Dr. Le Trong Nhan Assoc. Prof. Dr. Quan Thanh Tho
- PhD degree in Computer Engineering, University of Rennes, France - PhD degree in Computer Science, Nanyang Technological University (NTU), Singapore
- Research interests: - Research interests:
Low-power WSN, IoTs, Embedded Systems AI, Machine Learning, Systems Analysis and Verification, Software Engineering
- Publications: - Publications:
• A Wake-Up Radio based MAC Protocol for Autonomous Wireless Sensor Networks, 2018 • A Hybrid MultiOutput-Predictive Modelling based NSGA II Approach for Dimensions Design
• Improving Energy Efficiency of Mobile WSN Using Reconfigurable Directional Antennas, 2016 Optimization of Battery Pack Module for Electric Vehicles, 2020
- Research projects: Building a platform for multiple smart services using smart card in the new service economy • A Novel Author Gender Detection Method using Whale Optimization Algorithm and Artificial Neural
of smart cities (2018-2019) Network, 2020
- Affiliated Academic society: IEEE • A Dynamic Scheduling Method for Collaborated Cloud with Thick Clients, 2019
- Field of Research: Computer and Information Engineering • MarCHGen: A Framework for Generating a Malware Concept Hierarchy, 2019
- Subdiscipline: Computer Architecture and Embedded Systems - Research projects: Using formal methods to detect and classify malware (2016-2018)
- Technology Readiness Level (TRL): Level 5 - Field of Research: Computer and Information Engineering
- Subdiscipline: Artificial intelligence; Machine learning; Software Engineering
Assoc. Prof. Dr. Pham Tran Vu - Technology Readiness Level (TRL): Level 4
- PhD degree in Computer Science, Leeds University, United Kingdom
- Research interests: Big Data, Intelligent Transportation Systems (ITS), Wireless networks, Grid & Cloud Dr. Truong Tuan Anh
Computing, Peer-to-peer computing, IoTs - PhD degree in Computer Science,Trento University, Italy
- Publications: - Research interests:
• Smarter big data analytics for traffic applications in developing countries, 2019 Privacy protection when using the service, Privacy protection in data sharing
• An open Jackson Network Model for Heterogeneous Infrastructure as a Service on Cloud Computing, 2019 - Publications:
• Key-Value-Links: A New Data Model for Developing Efficient RDMA-Based In-Memory Stores, 2017 • Automated Security Analysis of Authorization Policies with Contextual Information, Transactions on
• IoT Services for Solving Critical Problems in Vietnam: A Research Landscape and Directions, 2016 Large-Scal Data- and Knowledge-Centered Systems XLI
- Research projects: • Automated Analysis of Administrative Temporal Role-Based Access Control with Hierarchies
Building data collection and traffic alert system using smartphones based on crowdsourcing model • Scalable Automated Analysis of Access Control and Privacy Policies, Transactions on Large-Scale
(2016-2018) Data- and Knowledge-Centered Systems
- Affiliated Academic society: IEEE - Research projects:
- Field of Research: Computer and Information Engineering • Authentication privacy protection in IoTs (2018-2020)
- Subdiscipline: Information Communication Networks; Web Data Processing and Data Mining • Privacy protection in data sharing. (2018-2019)
- Technology Readiness Level (TRL): Level 4 - Field of Research: Computer and Information Engineering
- Subdiscipline: Software Engineering; Web Data Processing and Data Mining
Dr. Nguyen Le Duy Lai - Technology Readiness Level (TRL): Level 4
- PhD degree in Computer Science, Grenoble University, France
- Research interests:
Mobile Systems, Wireless networks, Computer Networks Distributed Computing.
- Publications: Facilities
• Distributed Model Predictive Control of Irrigation Systems using Cooperative Controllers, 2017
• Asynchronous information consensus in distributed control of irrigation canals, 2016 Research Labs of Faculty of CSE are including ACLAB (Advance Computing Lab) and HPC LAB (High Performance Lab),
- Research projects: Research and development of application deployments on powerful computer
systems & big data processing (2017-2020) IoT-UTS lab (Internet of Thing – University of Technology Sydney):
- Field of Research: Computer and Information Engineering a. The ACLAB supports 6 research groups of the faculty, it also support students’ doing projects especially the final
- Subdiscipline: Information Communication Networks project. It cost 20 Billion VND of investment. Including:
- Technology Readiness Level (TRL): Level 4
- Clustering Blade server system for cloud computing.
- Powerful database server & SAN storage system.
Assoc. Prof. Dr. Tran Minh Quang - Application server.
- PhD degree in Computer Science, National Institute of Information and Communication Technology (NICT),
Japan - Other devices: Camera for image/video processing applications, FPGA Developing Board, etc.
- Research interests: b. The HPC Lab has been invested in 2015-2019 with the specification for high performance computing and AI
IoTs, Smart Wireless Communications Systems, Intelligent Transportation Systems ITS, Data Mining and Knowl- applications/researches. It cost 39 Billion VND of investment. Including:
edge Discovery - A high performance computer system with 24 node and over 3000 core Processor. The performance of the overall
- Publications: system is 50TeraFlop.
• A Hybrid MultiOutput-Predictive Modelling based NSGA II Approach for Dimensions Design
Optimization of Battery Pack Module for Electric Vehicles, 2020 - The SAN storage system and database servers
• A Novel Author Gender Detection Method using Whale Optimization Algorithm and Artificial Neural Network, 2020 - The GPU Server system with NVidia P100 Cards and Server for Image processing and Deep Learning research
• A Dynamic Scheduling Method for Collaborated Cloud with Thick Clients, 2019 - License of Operating system, Research software as ANSYS, Intel Parallel Developing tools, etc.
• MarCHGen: A Framework for Generating a Malware Concept Hierarchy, 2019 - All Server room, Firewall, Automatic Fire alarm system, UPS, etc.
- Research projects: c. IoT – UTS Lab has been invested in 2016 with 20 iMAC, iPAD, Android Tabled and other IoT device/board like Edison.
• Openness in Fog Computing for the Internet of Things) (2019-2020) Galileo,. In 2018, IoT lab has rebuilt in collaboration project with UTS (University of Technology Sydney) for IoT training
• Investigate and build a traffic congestion warning system based on crowd-sourced data and big data analytics and Doctor Degree training.
(2018-2020)
- Field of Research: Computer and Information Engineering
- Subdiscipline: Artificial intelligence; Machine learning; Software Engineering
- Technology Readiness Level (TRL): Level 4

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