Handbook of Artificial Intelligence in Biomedical Engineering
4 contributors - Hardback
£193.00
Prof. (Dr.) Vijay Singh Rathore obtained Ph.D. (Computer Science), MCA, M.Tech. (CS), MBA, ICAD-USA, ICDA-USA, and Diplomas in French & German. Presently, he is working as Professor of CS, Director – International at IIS (Deemed to be University), Jaipur (India), Secretary, ACM Jaipur Chapter, and Past Chairman, CSI Jaipur Chapter. He is having teaching experience of 20+ years, 3 patents published, Ph.D. supervised (awarded: 18, under supervision: 09), published 94 research papers, and 10 books, associated as Editor and Reviewer in some reputed journals, and received 20+ national and international awards of repute. His core research areas include Internet Security, Cloud Computing, Big Data, and IoT. He has organized and participated 25+ national and international conferences of repute. His foreign visits for various academic activities (Delegate/Invited/Keynote Speaker/Session Chair/Guest) include USA, UK, Canada, France, Netherlands, Singapore, Thailand, Vietnam, Nepal, etc. He had been Member of Indian Higher Education Delegation and visited 20+ leading universities at Canada (May, 2019), UK (July, 2017), and USA (Aug, 2018) supported by AICTE and GR foundation. Other delegation visits include University of Amsterdam (2016), Nanyang Technological University, Singapore (2018), University of Lincoln, QMUL, Brunel University, Oxford Brookes University (2020) for discussions on academic and research collaborations. He is an active academician and always welcoming and forming innovative ideas in the various dimensions of education and research for the better development of the society.
Joao Manuel R. S. Tavares graduated in Mechanical Engineering at the Universidade do Porto, Portugal, in 1992. He also earned his M.Sc. degree and Ph.D. degree in Electrical and Computer Engineering from the Universidade do Porto in 1995 and 2001, and attained his Habilitation in Mechanical Engineering in 2015. He is Senior Researcher at the Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial (INEGI) and Associate Professor at the Department of Mechanical Engineering (DEMec) of the Faculdade de Engenharia da Universidade do Porto (FEUP). He is Co-editor of more than 60 books and Co-author of more than 50 chapters, 650 articles in international and national journals and conferences, and 3 international and 3 national patents. He has been Committee Member of several international and national journals and conferences, is Co-founder and Co-editor of the book series “Lecture Notes in Computational Vision and Biomechanics” published by Springer, Founder and Editor-in-Chief of the journal “Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization” published by Taylor & Francis, Editor-in-Chief of the journal “Computer Methods in Biomechanics and Biomedical Engineering” published by Taylor & Francis, and Co-founder and Co-chair of the international conference series: CompIMAGE, ECCOMAS VipIMAGE, ICCEBS, and BioDental. Additionally, he has been (Co-)supervisor of several M.Sc. and Ph.D. thesis and Supervisor of several post-doc projects, and has participated in many scientific projects both as researcher and as scientific coordinator. His main research areas include computational vision, medical imaging, computational mechanics, scientific visualization, human–computer interaction, and new product development.
Catarina Moreira is Computer Scientist and passionate about decision-making technologies that can empower human decisions. She is Lecturer in Information Systems at the Faculty of Science, Queensland University of Technology, where she holds the role of Deputy High Degree Research Academic Lead. Currently, she is Associate Editor for the Springer Nature journal BMC Bioinformatics, section "Machine learning and artificial intelligence." She is a pioneer in the development of quantum-like probabilistic graphical models for decision making to empower human decision making. Her work also comprises machine learning / deep learning models, and innovative human interactive probabilistic models for explainable AI with the goal of understanding how and why machines make decisions. One of her aspirations is to support women in research and in STEM (Science, Technology, Engineering, and Mathematics) with the aim of contributing to a society that promotes equal opportunities across all genders to engage in STEM-related areas.
Dr. B. Surendiran is working as Assistant Professor, Department of CSE, NIT Puducherry, Karaikal. He has more than 15 years of teaching and research experience. He had completed his Ph.D. in the year 2012 from NIT Trichy. His research interests are medical image processing, machine learning, dimensionality reduction, etc. He had 40 international journal and conference publications to his credit. He has delivered 75+ invited lectures, reviewed 350+ research papers, and guided 10 PG/Ph.D. scholars. He has received Best Reviewer Award in 2019 by publons.com, Web of Science, and also Outstanding Reviewer Award by Biomedical and Pharmacology Journal in the year 2020. He is Active Reviewer for IEEE sensors, IET image processing, and various SCI/Scopus Journals.