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THE
THE
DIRECTOR
Ho Chi Minh City University Of Technology (HCMUT) DIRECTORY
ENGINEERING
FOR ENGINEERI
Linking University Researchers to Industry and
Linking University Researchers to Industry and Community t y
Co
mmuni
Academic Resources
FACULTY OF
COMPUTER SCIENCE & ENGINEERING Assoc. Prof. Dr. Thoai Nam
- PhD degree in Computer Engineering, Johannes Kepler University of Linz, Austria
- Research interests:
High performance computing, High performance data analytics, AI, Cloud computing, Distributed & Parallel
processing
Research Interest - Publications:
• A time-stamping system to detect memory consistency errors in MPI one-sided applications
• Flow aggregation for SDN-based delay-insensitive traffic control in mobile core networks
1. High Performance Computing - HPC Lab • A New Approach for Scheduling Job with the Heterogeneity-Aware Resource in HPC Systems
- High performance computing - Research projects:
- high performance data analytics • Caching Schemes in ICN-IoT Networks & the Potential of the Color-Based Caching in IoTs (2019-2020)
- AI, cloud computing • Development tools to help deploying applications on high performance computer systems & big data pro-
cessing (2018-2020)
- Parallel Debugging and Network Protocols - Affiliated Academic society: IEEE
2. IoTs and Advanced Computing Systems – IACS - Field of Research: Computer and Information Engineering
- Water and Air Quality Monitoring System based on IoTs such as parameters: PH, DO, NH3,Temperature, Gas: CO/CO2, - Subdiscipline: Artificial intelligence, Data Science, Network Engineering
Formaldehyde, sensors, Dust: PM10, PM2.5, etc, the systems collecting data from sensors - Technology Readiness Level (TRL): Level 4
- Problems related to sensor systems for smart cities
- Problems with high-performance computing using specialized hardware platforms Assoc. Prof. Dr. Tran Ngoc Thinh
- PhD degree in Computer Engineering, King Mongkut’s Institute of Technology Ladkrabang (KMITL), Thailand
3. Intelligent Transportation System Research Group - Research interests:
- Analyzing and processing data to assess the current urban traffic situation in real time Network security, High-performance computing, Embedded system, FPGA design, IoTs
- Finding the best urban travel route using real-time private and public transport - Publications:
- The system providing real-time traffic information • HPOFS: A High Performance and Secured OpenFlow Switch Architecture for FPGA, 2019
- High-performance computing solutions for real-time big data processing. • An Efficient High-Throughput and Low-Latency SYN Flood Defender for High-Speed Networks, 2019
4. Advanced Communications and Data Analysis • Applying CoAP for sleepy devices in wireless water quality monitoring systems, 2014
- Research projects:
- Wireless and mobile computing • A Real-time Anomaly–based Network Intrusion Detection System for Software-defined networking (2020-
- Multi-tier, context-aware in fog computing to optimize resource allocation and IoT services 2021)
- Solutions for machine learning and big data mining, applied to business and financial data analysis • Openflow-based secure switching system for Cloud environments (2016-2019)
- Data warehouse and decision support systems for agencies and organizations - Affiliated Academic society: IEEE
5. Systems Analysis and Verification (SAVE) - Field of Research: Computer and Information Engineering
- Subdiscipline: Computer Architecture and Embedded Systems
- Software Analysis and Verification - Technology Readiness Level (TRL): Level 4
- Natural language processing
- Machine Learning and Intelligent Systems
6. Information Security Group (iSEC) Assoc. Prof. Dr. Pham Quoc Cuong
- PhD degree in Computer Engineering, Tu Delf, Netherland
- Privacy protection when using the service - Research interests:
- Privacy protection in data sharing High-performance computing, Computer Architecture, FPGA design, IoTs
- Publications:
• HPOFS: A High Performance and Secured OpenFlow Switch Architecture for FPGA, 2019
• A high-performance FPGA-based BWAMEM DNA sequence alignment, 2019
• A Novel High-Speed Architecture for Integrating Multiple DDoS Countermeasure Mechanisms Using
Reconfigurable Hardware, 2017
- Research projects: Hazard map system using low enersy sensors and remote sensing data (2018-2019)
- Affiliated Academic society: IEEE
- Field of Research: Computer and Information Engineering
- Subdiscipline: Computer Architecture and Embedded Systems
- Technology Readiness Level (TRL): Level 5

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