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by Ken-Tye Yong (Author), Morning Liu (Author)
This book explores how in a rapidly shifting world, higher education has found itself at the crux of socio-economic, demographic, and technological transformations. This book dives deep into this evolving landscape, navigating the vast complexities of global higher education and its cultural implications.
Author Biography
Ken-Tye Yong is a professor at the University of Sydney, specializing in Chemical and Biological Engineering His innovative research spans nanotechnology, biophotonics, and nanomedicine, leading to over 350 publications and numerous awards. Alongside his academic achievements, Ken-Tye's entrepreneurial efforts and deep interest in astronomy further define his versatile career.
Morning Liu is a postdoctoral researcher at the University of Sydney, who blends industry experience with academic research. Specializing in embedded software for wireless networks, she transitioned to academia focusing on neural activity modeling. Her current research involves biophysical models and machine learning in protein dynamics.
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Description
by Ken-Tye Yong (Author), Morning Liu (Author)
This book explores how in a rapidly shifting world, higher education has found itself at the crux of socio-economic, demographic, and technological transformations. This book dives deep into this evolving landscape, navigating the vast complexities of global higher education and its cultural implications.
Author Biography
Ken-Tye Yong is a professor at the University of Sydney, specializing in Chemical and Biological Engineering His innovative research spans nanotechnology, biophotonics, and nanomedicine, leading to over 350 publications and numerous awards. Alongside his academic achievements, Ken-Tye's entrepreneurial efforts and deep interest in astronomy further define his versatile career.
Morning Liu is a postdoctoral researcher at the University of Sydney, who blends industry experience with academic research. Specializing in embedded software for wireless networks, she transitioned to academia focusing on neural activity modeling. Her current research involves biophysical models and machine learning in protein dynamics.
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