Speakers

 

Assoc Prof. Ng Yin Kwee
Nanyang Technological University, Singapore

Eddie is elected as:
Academician for European Academy of Sciences and Arts (EASA, EU);
Fellow of the American Society of Mechanical Engineers (FASME, USA);
Fellow of Institute of Engineering and Technology (FIET, United Kingdom);
Fellow of International Engineering and Technology Institute (FIETI, Hong Kong),
Distinguished Fellow for Institute of Data Science and Artificial Intelligence,
(DFIDSAI, China), and, Academician for Academy of Pedagogy and Learning, (USA).
He has published numerous papers in SCI-IF int. journal (430); int. conf. proceedings (130), textbook chapters (>105) and others (32) over the 29 years. Co-edited 14 books in STEM areas.
He is the: Lead Editor-in-Chief for the ISI Journal of Mechanics in Medicine and Biology for dissemination of original research in all fields of mechanics in medicine and biology since 2000;
Founding Editor-in-Chief for the ISI indexed Journal of Medical Imaging and Health Informatics (2011-2021);
Associate editor or EAB of various referred international journals such as Applied Intelligence, BioMedical Engineering OnLine, Computers in Biology & Medicine, and, Journal of Advanced Thermal Science Research.

He published > 542 papers in SCI-IF int. journal (430); int. conf. proceedings (130), textbook chapters (>105) and others (32) over the 27 years. Co-edited 14 books on “Cardiac Pumping and Perfusion Engineering” by WSP (2007); “Imaging and Modelling of Human Eye” by Artech (2008); “Distributed Diagnosis and Home Healthcare, v.1” by ASP (2009); “Performance Evaluation in Breast Imaging, Tumor Detection & Analysis” by ASP (2010); “Distributed Diagnosis and Home Healthcare, v.3” by ASP (2011); “Computational Analysis of Human eye with Applications” by WSP (2011); “Human Eye Imaging and Modeling” by CRC (2011); “Multimodality Breast Imaging” by SPIE (2013); “Image Analysis and Modeling in Ophthalmology”; “Ophthalmology Imaging and Applications” by CRC (2013, 2014); “Bio-inspired Surfaces and Applications” by WSP (2016); “Application of Infrared to Biomedical Sciences” by Springer (2017) and “Computation and Mathematical Methods in Cardiovascular Physiology” by WSP (2019). Also, co-authored a text book: “Compressor Instability with Integral Methods” by Springer (2007).

His main area of research is thermal imaging, human physiology, biomedical engg; computational turbomachinery aerodynamics; micro-scale cooling problems; computational fluid dynamics & numerical heat transfer. As of 2020, he has graduated 24 Ph.D. and 28 M.Eng. research students. One of my graduated PhD students, Dr. Saxena received the NTU’s Graduate College Research Excellence Award (2020/21) and another one, Dr Tan JH is listed as the Highly Cited Researchers by Clarivate Web of Science in 2020.
More details can be found in: Cv: https://dr.ntu.edu.sg/cris/rp/rp00847

Speech Title: Machine Learning of Wake Velocity and Turbulence Intensity of an Axial Wind Turbine
Speech Abstract: In this talk, three machine learning (ML) algorithms viz. Support Vector Regression (SVR), Artificial Neural Networks (ANN), and Extreme Gradient Boosting (XGBoost) are implemented to predict wake velocity and turbulence intensity from a wind turbine at different downstream distances. To this end, a set of high-fidelity numerical simulations are performed for the NREL Phase VI wind turbine to produce training and test datasets for the three machine learning algorithms. Using the trained model, the wake flow field downstream of the blade and turbulence intensity are predicted on the test datasets which are hidden from the trained model. The prediction of wake velocity deficit and turbulence level in the wake from the machine learning algorithms are commensurate to the Computational Fluid Dynamics (CFD) simulations while running as fast as low-fidelity wake models. The wake velocity and turbulence intensity obtained from the ML models are also compared with some of the analytical wake models. The results reveal that machine learning-based algorithms can approximate wake and turbulence intensity characteristics better than the traditional analytical wake models.

 

Prof. Hazlie Mokhlis
University of Malaya, Malaysia
Chair for IEEE Power Energy Society, Malaysia Chapter

Hazlie Mokhlis received the Bachelor of Engineering (B. Eng. (Hons)) degree and Master of Engineering Science (M. Eng.Sc) in Electrical Engineering from University of Malaya in 1999 and 2003 respectively. He received PhD degree from the University of Manchester in 2009. He is currently Professor at Department of Electrical Engineering, University of Malaya. He had held several positions; Deputy Dean Research (2013-2014), Deputy Dean Postgraduate Studies (2014-2015, 2017-2018), Deputy Dean Undergraduate Studies (2018-2019) and Head of Department (2015-2017) at the Faculty of Engineering. Dr Hazlie is actively involved in research as a principle investigator with a total amount of research grant worth more than RM 2 million. He is the author and co-author of more than 300 publications in international journals and proceedings in the area of Power Systems and Energy. Up to now, he had successfully supervised to completion 27 PhD, 7 Master (by research) and 56 Master (Mix-mode and Course Work) candidates. He also involves actively as reviewer for international journal such as IEEE transaction on Power Systems, IEEE transaction on Sustainable Energy, IET Generation, Transmission & Distribution, International Journal of Electrical Power & Energy Systems, Applied SoftComputing, Energy Conversion & Management, and several international conferences. Besides involve with research, he is also active in the development of Malaysian Standard as a member of Working Group in Development of Malaysian's Power System Analysis and Studies (WG6) and Expert Representative in IEC for project TC 8/PT 62786. His research interest includes fault location, network reconfiguration, islanding operation, islanding detection, and renewable energy. Prof Hazlie is a Chartered Engineer with the Engineering Council UK and a Professional Engineer with the Board of Engineers Malaysia. Currently he is Chair for IEEE Power Energy Society, Malaysia Chapter.