Autor: Mohd Azraai Mohd Razman

Apoio
Mr. Mohd Azraai Mohd Razman graduated his first degree from the University of Sheffield, United Kingdom, in Mechatronics Engineering in 2010. He then obtained his M.Eng. by 2014 from Universiti Malaysia Pahang (UMP) in Mechatronics Engineering and currently pursuing his Ph.D. at UMP as well. He did his visiting Ph.D. at University of Padova, Italy, in 2018 where he focuses on computer vision and machine learning. His research interests include optimization techniques, control systems, signal processing, instrumentation in aquaculture, sports engineering, as well as machine learning. Dr. Anwar P.P. Abdul Majeed graduated with a first-class honours B.Eng. in Mechanical Engineering from Universiti Teknologi MARA (Ui TM), Malaysia. He obtained an M.Sc. in Nuclear Engineering from Imperial College London, United Kingdom. He then received his Ph.D. in Rehabilitation Robotics under the supervision of Prof. Dr. Zahari Taha from Universiti Malaysia Pahang (UMP). He is currently serving as a senior lecturer at the Faculty of Manufacturing and Mechatronics Engineering Technology, UMP. He is an active research member at the Innovative Manufacturing, Mechatronics and Sports Laboratory, UMP. His research interests include rehabilitation robotics, computational mechanics, applied mechanics, sports engineering, renewable and nuclear energy, sports performance analysis, as well as machine learning. Dr Rabiu Muazu Musa holds a Ph.D. degree from Universiti Sultan Zainal Abidin (Uni SZA), Malaysia. He obtained his M.Sc. in Sports Science from Uni SZA in 2015 and his B.Sc. in Physical and Health Education at Bayero University, Kano, Nigeria, in 2011. His Ph.D. research focuses on the development of multivariate and machine learning models for athletic performance. His research interests include performance analysis, health promotion, sports psychology, exercise science, talent identification, test, and measurement, as well as machine learning. He iscurrently a lecturer at the Centre for Fundamental and Liberal Education, Universiti Malaysia Terengganu. Dr. Zahari Taha graduated with a B.Sc. in Aeronautical Engineering with Honours from the University of Bath, United Kingdom. He obtained his Ph.D. in Dynamics and Control of Robots from the University of Wales Institute of Science and Technology in 1987. He is the founder and advisor of the Innovative Manufacturing, Mechatronics and Sports Laboratory (IMAMS), UMP, and formerly a Professor at the Faculty of Engineering, Universiti Malaya, and Faculty of Manufacturing Engineering, UMP. Dr Zahari teaches and conducts research in the areas of industrial automation, robotics, ergonomics, sustainable manufacturing, machine learning, and sports engineering and provides consultation and training under Dzuki Consultancy and Training. Prof. Gian Antonio Susto received the M.S. degree (cum laude) in control systems engineering and the Ph.D. degree in informationengineering from the University of Padova, Padua, Italy, in 2009 and 2013, respectively. He was a Visiting Student with the University of California San Diego, San Diego, CA, USA, and the National University of Ireland (NUIM), Maynooth, Ireland, an Intern Researcher with Infineon Technologies Austria AG, Villach, Austria, and a Postdoctoral Associate with NUIM in 2013. He is currently an Assistant Professor with the University of Padova and the co-founder of Statwolf Ltd., Dublin, Ireland. His current research interests include deep and machine learning, industry 4.0, activity/gesture recognition, and natural language processing. Dr. Susto received the IEEE-CASE Best Student Conference Paper Award in 2011, the IEEE/SEMI-ASMC Best Student Paper Award in 2012, and the IEEE-MSC Best Student Paper Award in 2012. Dr Yukinori Mukai obtained his B.Sc. and M.Sc. in Kagoshima University, Japan, and Ph.D. degree from Kinki University, Japan. He studied fish larvae and their sensory organs in order to improve larval rearing methods. He then became a lecturer of Aquaculture Course in Universiti Malaysia Sabah (UMS). He is currently an Associate Professor since 2011 in the Department of Marine Science, Kulliyyah of Science, International Islamic University Malaysia (IIUM). He has studied demand feeding system, optimum light wavelength and intensity for larval and juvenile rearing, infusoria culture as live feed, and genetic diversity in wild fish and has cultured fishes in UMS and IIUM.




6 Ebooks por Mohd Azraai Mohd Razman

Mohd Azraai Mohd Razman & Anwar P. P. Abdul Majeed: Machine Learning in Aquaculture
This book highlights the fundamental association between aquaculture and engineering in classifying fish hunger behaviour by means of machine learning techniques. Understanding the underlying factors …
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Inglês
€53.49
Mohd Azraai Mohd Razman & Jessnor Arif Mat Jizat: Embracing Industry 4.0
This book highlights selected articles from the electrical engineering track, with a focus on the latest trends in electrical and electronic engineering toward embracing Industry 4.0, as part of the …
PDF
Inglês
€128.39
Jessnor Arif Mat Jizat & Ismail Mohd Khairuddin: Advances in Robotics, Automation and Data Analytics
This book presents essentially a collection of proceedings that deliberate on the key challenges and recent trends on robotics, automation and data analytics which are the pillars of Industry 4.0. So …
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Inglês
€213.99
Rabiu Muazu Musa & Anwar P. P. Abdul Majeed: Machine Learning in Elite Volleyball
This brief highlights the use of various Machine Learning (ML) algorithms to evaluate training and competitional strategies in Volleyball, as well as to identify high-performance players in the sport …
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Inglês
€53.49
Rabiu Muazu Musa & Anwar P.P. Abdul Majeed: Data Mining and Machine Learning in High-Performance Sport
This book explores the application of data mining and machine learning techniques in studying the activity pattern, decision-making skills, misconducts, and actions resulting in the intervention of V …
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Inglês
€53.49
Mohd Hafiz Arzmi & Anwar P. P. Abdul Majeed: Deep Learning in Cancer Diagnostics
Cancer is the leading cause of mortality in most, if not all, countries around the globe. It is worth noting that the World Health Organisation (WHO) in 2019 estimated that cancer is the primary or s …
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Inglês
€48.14