Overview

The fields of data science and analytics are always evolving. By understanding and navigating the data-driven revolution, advancements can be made in domains such as healthcare, finance, education, and more. Harnessing the power of data in decision-making and problem-solving across industries, industries may advance their methods of data collection, data visualization, and predictive modeling. As such, it is important to stay abreast of the latest developments, methodologies, and trends in data-driven research. Revolutionizing Data Science and Analytics for Industry Transformation contributes to fostering collaboration, innovation, and excellence in data science research. It democratizes access to knowledge and empowers individuals and organizations to thrive in the data-driven era. Covering topics such as outcome prediction, deep reinforcement learning, and Mask Attention BERT Networks, this book is an excellent resource for data scientists, business professionals, policymakers, computer scientists, statisticians, engineers, professionals, researchers, scholars, academicians, and more.

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Paul Devasahayam Manuel is a Professor at Kuwait University, Kuwait. He holds a Ph.D. obtained from the University of Newcastle, Australia, a Master of Science from the University of Saskatchewan, Canada, and another Ph.D. from the Indian Institute of Technology, India. His research interests lie in the areas of Information Systems, Algorithms, and Cheminformatics. He possesses administrative skills in the ABET Accreditation Process and software expertise in Enterprise Resource Planning (ODOO) and Machine Learning using Python. Throughout his career, Paul has received several accolades, including the Best Teacher Award (2010 - 2011) and Distinguished Lecturer Award (2008 - 2009) from Kuwait University, as well as the Industry Relationship Award (2002 - 2003) from KFUPM, Saudi Arabia. A significant project he contributed to is the UNESCO-HP Brain Gain Initiative, which was recognized by UNESCO, with an honor received in the presence of Former US President Bill Clinton in Berlin. Additionally, Paul Manuel is listed in the 'World's Top 2% Scientist 2022' by Stanford University and Elsevier Foundation. Furthermore, he played a crucial role in the development and preparation of the ISC Department's Self-Study Report, which was rated among the top 50 worldwide by ABET in 2017. Kalim Uddin Qureshi is an Associate Professor in the Information Science Department at Kuwait University, Kuwait. He holds a Doctor Engineer degree obtained from the Department of Computer Science and Systems Engineering at Muroran Institute of Technology, Japan, awarded by the Japanese Government. Prior to this, he earned a Master of Science in Engineering from the same institution and worked as a Research Student there. Dr. Qureshi's research interests encompass a wide range of areas including Distributed Computing, Grid Computing, Medical Imaging, Information Systems Development, System Performance Measurement, Information Security, and Computer Forensics. With over 8 years of industry-based research and microprocessor-based product development experience, coupled with 24 years of academic teaching and research experience, he brings a wealth of knowledge and expertise to his field. He has extensive experience serving on academic committees, including ABET Accreditation (16 years), Curriculum Committee (24 years), Labs, Library, Computing Facilities planning committee (24 years), and Graduate Program Committee (24 years). Dr. Qureshi has published 58 journal papers, showcasing his contributions to the academic and research community. His dedication to advancing knowledge in his field and his commitment to education make him a valuable asset to Kuwait University and the wider academic community. Hello everyone, I am Dr. V. Thamilarasi, and I'm thrilled to share a bit about my academic journey with you. In 2022, I proudly earned my Ph.D. in Computer Science with a specialization in Digital Image Processing from the esteemed Periyar University in Salem, Tamilnadu, India. With over 9 years of hands-on experience, I've navigated through roles such as Lecturer and Assistant Professor. Currently, I am serving as an Assistant Professor in the Department of Computer Science at Sri Sarada College for Women (Autonomous) in Salem, Tamilnadu. My passion for research has led me to contribute significantly to the academic community. I've authored several research papers published in prestigious international journals, and the recognition of one of my papers with the Best Paper Award in 2021 was a particularly gratifying moment. In 2023, I received both the Young Researcher Award and the International Excellence Award, acknowledgments that motivate me to continue pushing the boundaries of knowledge. Beyond my research endeavors, I actively participate in the academic review process as a reviewer for Elsevier and Scopus journals. My research interests encompass exciting areas like Medical Image Processing, Artificial Intelligence, Machine Learning, Computer Vision, and Deep Learning. In essence, my academic journey is not just about degrees and titles; it's a continuous exploration of the fascinating realms of computer science, and I'm excited to see where this journey takes me next.

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