ICBET 2020          Full Paper Submission Deadline: 10 January 2020     Conference Dates: 15th - 18th September 2020      Conference Place: Meiji University, Tokyo, Japan



Meiji University, Tokyo, Japan





Keynote Speaker I

Prof. Walter Herzog

University of Calgary, Canada

Dr. Herzog did his undergraduate training in Physical Education at the Federal Technical Institute in Zurich, Switzerland (1979), completed his doctoral research in Biomechanics at the University of Iowa (USA) in 1985, and completed postdoctoral fellowships in Neuroscience and Biomechanics in Calgary, Canada in 1987. Currently, Dr. Herzog is a Professor of Biomechanics with appointments in Kinesiology, Medicine, Engineering, and Veterinary Medicine, holds the Canada Research Chair for Cellular and Molecular Biomechanics, and is appointed the Killam Memorial Chair for Inter-Disciplinary Research at the University of Calgary. His research interests are in musculoskeletal biomechanics with emphasis on mechanisms of muscle contraction focusing on the role of the structural protein titin, and the biomechanics of joints focusing on mechanisms of onset and progression of osteoarthritis. Dr. Herzog is the recipient of the Borelli Award from the American Society of Biomechanics, the Career Award from the Canadian Society for Biomechanics, the Dyson Award from the International Society of Biomechanics in Sports, the Muybridge Award from the International Society of Biomechanics, and recently received the Killam Prize in Engineering from the Canada Council for the Arts for his contributions to Biomedical research. He is the past president of the International, American and Canadian Societies for Biomechanics. He was inducted into the Royal Society of Canada in 2013.

Speech Title: "The Forgotten Filament in Muscle Contraction"

Abstract: The sliding filament and cross-bridge theories of muscle contraction have dominated the thinking in muscle contraction research for more than half a century. These theories rely on force production by the contractile filaments actin and myosin exclusively. However, many experimental observations on skeletal muscle properties cannot be explained using these theories. For example, the cross-bridge theory cannot explain the residual force enhancement property of skeletal muscle, nor can it account for the stability of myosin in the centre of sarcomeres. In 2002, we discovered that passive forces in an active muscle are much greater than the passive forces in a passive muscle. We called this observation “passive force enhancement”. In 2008, we demonstrated that this increased passive force is uniquely associated with the filamentous, sarcomeric protein titin. We then showed that titin is a spring protein whose stiffness increases with muscle activation, thus providing more force when a muscle is actively stretched compared to when it is passively stretched. The molecular mechanisms of this increase in titin stiffness with activation remain unclear, but I will present the latest findings from our group on how titin might regulate active force in skeletal muscle contraction.


Keynote Speaker II

Prof. Jyh-Ping Chen

Chang Gung University, Taiwan

Dr. Jyh-Ping Chen has been a professor in Chemical and Materials Engineering at Chang Gung University since 1997. He is currently a research fellow in the Department of Plastic and Reconstructive Surgery, Chang Gung Memorial Hospital and holds joint appointments as professor in Ming Chi University of Technology and Chang Gung University of Science and Technology, Taiwan. He received his PhD in Chemical Engineering from Pennsylvania State University. He established the Graduate Institute of Biochemical and Biomedical Engineering in 2002 and served as the first director of the institute till 2006. He was the chairman of the Chemical and Materials Engineering Department from 2006 to 2014. Professor Chen has published over 150 papers in SCI journals with more than 5500 citations. He is a guest editor or editorial board member for 15 international journals and a peer reviewer for more than 50 reputed journals. His current research interests include biomaterials, tissue engineering and drug delivery.


Invited Speaker I

Assoc. Prof. Jennifer Chua Dela Cruz

Mapua University, Philippine

Earned my PhD ECE (Electronics and Communications Engineering) and MSECE from De LaSalle University, and BSECE from Mapua University. Currently the Research Coordinator of the School of EECE and faculty member both of undergraduate and graduate studies of Mapua University. Have presented and published more than 60 research papers in the field of Electronics, Computing and Engineering. Has on-going research collaborations with Department of Science and Technology and ASEAN IVO. Conducting consultancies as Professional Electronics Engineer and also as an ASEAN Engineer. Serving as program evaluator and accreditor of Electronics Engineering program of local Universities and Colleges for Commission on Higher Education and Philippine Technological Council. Active volunteer and Senior Member of IEEE, 2017 and 2018 Chairman of IEEE (Institute of Electrical and Electronics Engineers) Philippines Section and founder and acting Chairman IEEE PS Women in Engineering and IEEE PS Education Society Chapter.

Speech Title: "Portable Nuclear and Cortical Eye Cataract Detection using Image Processing"

Abstract: Early detection and treatment of cataract can prevent worse effects in eyesight, such as blurred vision and blindness. However, portability is an issue with the machines that are used for detecting eye cataracts. The focus of this paper will be the detection and classification of cataract using image processing algorithms which are Local Ridge Enhancement, Sobel Algorithm, Directional Coding, and Back Propagation Neural Network. The mobile application that shall serve as this study’s output will display whether the user has an eye cataract or not. If an eye cataract is detected, the app shall only display the type of cataract and the severity grade of the eye cataract. Based on the data gathered and the doctor’s assessment, this paper resulted in a 100% accuracy on detecting and classifying Normal Eyes, 80.00% on Nuclear Mild Cataract, 85.00% on Nuclear Severe Cataract, 80.00% on Cortical Mild Cataract, and 93.33% on Cortical Severe Cataract.



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