ICETASD 2023

KEYNOTE 1: “ENHANCING THE FIDELITY AND RELIABILITY OF SIMULATION RESULTS THROUGH DATA-DRIVEN TECHNIQUES IN CAE AND FEA”

• Speaker: Assoc. Prof. Dr. Nguyen Quoc Hung, Viet nam – German University, Viet Nam.

Assoc. Prof. Dr. Nguyen Quoc Hung, Viet nam

German University, Viet Nam

Website:
https://vgu.edu.vn/faculty-of-engineering1?fam=48756E672E4E514048756E67204E677579656E2051756F63

Email:
hung.nq@vgu.edu.vn

Google scholar:
https://scholar.google.com.vn/citations?user=AgqKkEwAAAAJ&hl=en

• Affiliation: Prof. Hung obtained his PhD degree in in Solid Mechanics and Manufacturing Engineering from Inha University (South Korea). He is currently the Dean of Faculty of Engineering in Viet nam – German University.

As one of the most active researchers in Viet Nam, Prof. Hung is curently the Chairman of the Scientific Committee of Mechanics and Engineering of the National Foundation for Science and Technology Development of Viet Nam. His research interests include Computational mechnics, Smart materials, Data Science and AI, and Design optimization.

• Abstracts: For decades, simulation has played a critical role in computer-aided engineering (CAE) and finite element analysis (FEA), enabling engineers to model complex systems with impressive precision. However, conventional simulations often rely on simplified assumptions and theoretical models that may fail to capture the intricacies of real-world phenomena. With the proliferation of data and advancements in machine learning and data analytics, there is an opportunity to enhance the accuracy and reliability of simulation results. By incorporating data-driven techniques into CAE and FEA workflows, engineers can tap into the vast amount of available data to improve simulation accuracy and efficiency. Real-time sensor data, experimental results, and historical performance data can be integrated into simulations, producing dynamic and adaptive models that respond to changing conditions.

This presentation will explore specific applications of the convergence of simulation and data in CAE and FEA. By integrating data-driven techniques into traditional simulation workflows, engineers can gain new insights, optimize designs, and accelerate the product development cycle. Ultimately, the goal of this presentation is to spark conversations about the future possibilities and challenges of this convergence, fostering collaborations and driving innovation in the field of CAE and FEA.

Keywords: Data-driven techniques, Computer-aided engineering (CAE), Finite element analysis (FEA), Artificial Intelligence (AI)

KEYNOTE 2: “STRATEGIC PLAN FOR SUSTAINABLE MANAGEMENT”

• Speaker: Dr. Arvin DelaCruz, Polytechnic University of the Philippines

Dr. Arvin DelaCruz, Philippines

Polytechnic University of the Philippines

Website:
https://researchgate.net/profile/Arvin-De-La-Cruz

Email:
docardelacruz@gmail.com

Google scholar:
https://scholar.google.com/citations?user=Eg858ucAAAAJ&hl=en&oi=ao

• Affiliation: Arvin DelaCruz is an Associate Professor and currently holds the position of Graduate School Research and Extension Chief at the Polytechnic University of the Philippines. His research interests include management engineering, machine learning, data science, data engineering, neural network system, big data, image processing, cybersecurity, digital forensics, robotics, the artificial intelligence of things (AIoT) embedded system, enterprise resource planning system, and modeling with simulation system.

• Field of Specialization:

Computer Engineering Research Works: Artificial Intelligence, Engineering Education, Machine Learning, Machine Vision, Data Analytics, Data Science, Robotics, eLearning, Mobile Development, IoT, and AIoT

• Recognition/Awards:

Professional Computer Engineers (PCpE)

Best Presenter in the 19th World Conference in Applied Science, Engineering and Technology (WCASET) at Bangkok, Thailand