Anwar P.P. Abdul Majeed – författare

Fostering Women''s Engagement in STEM Through Education: A Cross-Cultural Academic-Industry Journey uniquely intertwines academic rigour with real-world impact, offering a comprehensive exploration of science, technology, engineering, and mathematics (STEM) experiences forged through the Partnership for Innovation in Employability (PIE) programme. The PIE programme, funded by the British Council, is aimed at nurturing innovation and facilitating interaction to enhance employability within educational robotics.

This book brings together participating universities and industry partners from across the world to celebrate and share a variety of case studies showcasing the application of STEM education in various settings – from industrial to primary education. It not only illuminates successes, but critically evaluates challenges faced, and concludes with a look to the future for women in STEM education, research, and professional roles.

Key features:

· Offers a comprehensive, global perspective on the challenges and opportunities in promoting gender equality and diversity in STEM fields through education and outreach programmes, featuring case studies from Wales and Malaysia.

· Provides actionable insights and recommendations for educators, policymakers, and stakeholders to develop and implement effective strategies for bridging the STEM gender gap and fostering inclusivity in education.

· Explores innovative pedagogical approaches, such as game-based learning using traditional folk games, and the integration of cutting-edge technologies (e.g. collaborative robots) to engage learners from diverse backgrounds.

This serves as a key resource for individuals engaged in professions connected to and researching STEM education, especially those dedicated to promoting and enhancing women''s involvement in these fields.

Fostering Women''s Engagement in STEM Through Education: A Cross-Cultural Academic-Industry Journey uniquely intertwines academic rigour with real-world impact, offering a comprehensive exploration of science, technology, engineering, and mathematics (STEM) experiences forged through the Partnership for Innovation in Employability (PIE) programme. The PIE programme, funded by the British Council, is aimed at nurturing innovation and facilitating interaction to enhance employability within educational robotics.

This book brings together participating universities and industry partners from across the world to celebrate and share a variety of case studies showcasing the application of STEM education in various settings – from industrial to primary education. It not only illuminates successes, but critically evaluates challenges faced, and concludes with a look to the future for women in STEM education, research, and professional roles.

Key features:

· Offers a comprehensive, global perspective on the challenges and opportunities in promoting gender equality and diversity in STEM fields through education and outreach programmes, featuring case studies from Wales and Malaysia.

· Provides actionable insights and recommendations for educators, policymakers, and stakeholders to develop and implement effective strategies for bridging the STEM gender gap and fostering inclusivity in education.

· Explores innovative pedagogical approaches, such as game-based learning using traditional folk games, and the integration of cutting-edge technologies (e.g. collaborative robots) to engage learners from diverse backgrounds.

This serves as a key resource for individuals engaged in professions connected to and researching STEM education, especially those dedicated to promoting and enhancing women''s involvement in these fields.

This book delves into the forefront of robotics and AI with this scholarly collection from the 11th International Conference on Robot Intelligence Technology and Applications (RiTA) Volume 1. This book consists of two Sections/Chapters, namely Sensors, Signals and Systems and Robotics, Automation and Control. The former elucidates the pivotal role of sensors, signals and systems in propelling advancements in robotics and AI,  while the latter illuminates the transformative power of autonomous systems across various sectors, from intricate surgical procedures to complex manufacturing processes. This book is an indispensable resource for both researchers and practitioners, offering a comprehensive overview of the digital trajectory of robotics and AI.

This book dives into the vanguard of robotics and AI with this scholarly edition, a compilation of pioneering research from the 11th International Conference on Robot Intelligence Technology and Applications (RiTA) Volume 2. This book focuses on ‘Machine Learning and AI Applications’, which elucidates the transformative power of contemporary AI across a multitude of domains, from medical diagnostics to natural language comprehension. This book uncovers innovative models, avant-garde training techniques and sophisticated interpretability methods that underscore the versatility and robustness of AI. This book is an indispensable asset for researchers and practitioners navigating the digital frontier.

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 VAR in European soccer leagues referees. The game of soccer at the elite level is characterised by intense competitions, a high level of intensity, technical, and tactical skills coupled with a long duration of play. Referees are required to officiate the game and deliver correct and indisputable decisions throughout the duration of play. The increase in the spatial and temporal task demands of the game necessitates that the referees must respond and cope with the physiological and psychological loads inherent in the game. The referees are also required to deliver an accurate decision and uphold the rules and regulations of the game during a match. These demands and attributes make the work of referees highly complex. The increasing pace and complexity of the game resulted in the introduction of the Video Assistant Referee (VAR) to assist and improve the decision-making of on-field referees. Despite the integration of VAR into the current refereeing system, the performances of the referees are yet to be error-free. Machine learning coupled with data mining techniques has shown to be vital in providing insights from a large dataset which could be used to draw important inferences that can aid decision-making for diagnostics purposes and overall performance improvement.

This book presents proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024 Held on 22 and 23 August in Suzhou, China. This proceedings deliberates on the key challenges, engineering and scientific discoveries, innovations, and advances on intelligent manufacturing and robotics that are non-trivial through the lens of Industry 4.0. In this book, traditional and modern solutions that are employed across the spectrum of various intelligent manufacturing and robotics contexts are presents. The readers are expected to gain an insightful view on the current trends, issues, mitigating factors as well as proposed solutions from this book.