Computational Approaches in Biomaterials and Biomedical Engineering Applications
CRC Press (Verlag)
978-1-032-63525-5 (ISBN)
Computational Approaches in Bioengineering, Volume 2—Computational Approaches in Biomaterials and Biomedical Engineering Applications is a comprehensive and up-to-date resource that provides a broad overview of the use of computational methods in the fields of biomaterials and biomedical engineering. Written by a team of experts in the field of biomaterials and biomedical engineering, it provides a wealth of information on the use of computational methods in these fields. Furthermore, it explores emerging trends and discusses future directions and associated limitations in the field. Through thorough exploration and explanation, it showcases the latest research and advancements, offering valuable insights into how computational methods are utilized to design and optimize biomaterials, simulate biological processes, and develop innovative medical devices.
FEATURES
Provides practical guidance and real-world examples to help readers apply computational approaches effectively in their work
Explores the diverse computational approaches employed in biomaterials and biomedical engineering applications, offering a comprehensive view of the field
Introduces emerging topics and cutting-edge techniques, keeping wide range of readers at the forefront of advancements in computational bioengineering
Discusses the integration of computational methods in biomaterials and biomedical engineering, fostering a deeper understanding of their synergistic potential
Provides a valuable resource for researchers, practitioners, and students alike, serving as a comprehensive guide to computational approaches in biomaterials and biomedical engineering applications
The book is well-organized and easy to read. The chapters are written in a clear and concise style, and they provide a comprehensive overview of the topics covered. The book is also well-illustrated with figures and tables that help to explain the concepts discussed in the text. With its comprehensive coverage, practical examples, and expert insights, this book serves as a valuable resource for researchers, students, and professionals in the fields of biomaterials and biomedical engineering.
Dr. Pranav Deepak Pathak is an associate professor at the MIT School of Bioengineering Sciences & Research, Pune, with more than 14 years of teaching experience. He received his undergraduate and postgraduate degrees from Sant Gadge Baba Amravati University, India, and a doctoral degree from Visveswaraya National Institute of Technology, Nagpur, India, in chemical engineering. He has published several papers in peer-reviewed international journals, written book chapters, and edited four books; he has also filed several patents to his credit. He also received grants for several projects. He participated in various national/international conferences, workshops, and training. His research interests include bioengineering, biorefinery, and wastewater treatment. Dr. Roshani Raut obtained her PhD degree in computer science and engineering and ME and BE degrees in computer science and engineering. She has more than 20 years of experience and currently she is working as a professor in the Department of Information Technology and Dean International Relations at Pimpri Chinchwad College of Engineering, Pune, India. She is guiding a PhD research scholar in the University of Technology, Petronas, Malaysia. She is a member of IEEE and ISTE. She has availed research and workshop grants from BCUD, Pune University. She has presented more than 125 research communications in national and international conferences and journals. She has published 15 patents and has received grants for 10 patents. She worked as a convener for national and international conferences. She has published 10 books, where she worked as an author or editor, of various national and international publications like IGI Global, CRC/Taylor & Francis, and Scrivener Wiley. Her research area includes artificial intelligence, machine learning, data mining, and deep learning, among other areas. Sebastián Jaramillo-Isaza is a skilled, rigorous, and highly motivated bioengineer. He holds an MSc in mechanics and materials and a doctoral degree in biomechanics, biomaterials, and bioengineering. In addition, he has substantial experience researching and teaching in motion capture and analysis, biomaterials, rehabilitation, bioinstrumentation, and materials characterization. Furthermore, he has participated in and organized national/international conferences and workshops. Currently, he is working as Associate Professor in Biomedical Engineering at Antonio Nariño University in Bogotá, Colombia. Dr. Pradnya Borkar is Assistant Professor in the Department of Computer Science and Engineering at the Symbiosis Institute of Technology, Nagpur (Constituent of Symbiosis International University, Pune). She earned her BE in computer technology in 2002, her MTech in computer science and engineering in 2008, and her PhD in computer science and engineering in 2018 from Rashtrasant Tukdoji Maharaj Nagpur University (formerly Nagpur University). She has worked with many reputed organizations and has an overall teaching experience of around 19 years. One patent has been granted to her account, and she has filed two more patents. She had handled major responsibilities at the time of accreditation. Her areas of interest are high-performance computing, bioinformatics, parallel computing, database management systems, compilers and theory of computation, etc. She has presented and published many papers in national/international conferences as well as journals. She has published nine book chapters. She is a reviewer of two international journals and has reviewed book chapters for various publishers of repute. She has chaired sessions at international and national conferences. She is a member of professional societies such as the ISTE, CSI, SDIWC, etc. She worked as a committee member in various capacities at the institute and university levels. Dr. Rutvij H. Jhaveri (Senior Member, IEEE) is an experienced educator and researcher working in the Department of Computer Science & Engineering, Pandit Deendayal Energy University, Gandhinagar, India. He conducted his postdoctoral research at Delta-NTU Corporate Lab for Cyber-Physical Systems, Nanyang Technological University, Singapore. He completed his PhD in computer engineering in 2016. In 2017, he was awarded with the prestigious Pedagogical Innovation Award by Gujarat Technological University. Currently, he is co-investigating a funded project from GUJCOST. He was ranked among top 2% scientists around the world in 2022 and 2021. He has 3000+ Google Scholar citations with an H-index of 29. He is an editorial board member of various journals of repute, including IEEE Transactions on Industrial Informatics and Scientific Reports. He also serves as a reviewer in several international journals and as an advisory/TPC member at renowned international conferences. He authored 145+ articles including the IEEE/ACM Transactions and flagship IEEE/ACM conferences. Moreover, he has several national and international patents and copyrights to his name. He also possesses memberships in various technical bodies such as the ACM, CSI, ISTE, and others. He is the coordinator of the SCAN—Smart Cities Air Quality Network. Moreover, he has been a member of the advisory board of the Symbiosis Institute of Digital and Telecom Management and other reputed universities since 2022. He is an editorial board member in several Springer and Hindawi journals. He also served as a committee member in the "Smart Village Project"—Government of Gujarat at the district level during the year 2017. His research interests are Cyber Security, IoT systems, SDN, and smart healthcare.
1. Use of Biomaterials in the Field of Biomedical Engineering: Current Trends, Challenges, and Opportunities in Implementations ; 2. Applications of Biomaterials in Advanced Drug Delivery Systems ; 3. Biomaterials in Ophthalmology: Advancements, Applications, and Challenges ; 4. Use of AI and Machine Learning for the Analysis of Cellular Images in Breast Cancer ; 5. Genetic Diagnosis, Classification, and Risk Prediction in Cancer Using Next-Generation Sequencing in Oncology ; 6. AI and ML in the Treatment of Cardiovascular Diseases ; 7. Role of Big Data, AI, and Machine Learning in Decisions for Disease Diagnosis and Treatment ; 8. Artificial Intelligence in Drug Research—A New Wave of Innovation in Drug Discovery162 ; 9. Significance of Artificial Intelligence in the Recognition, Characterization, and Prediction of Hepatocellular Carcinoma ; 10. Artificial Intelligence Applied to Neuromotor Rehabilitation Engineering: Advances and Challenges; 11. Emerging Computational Methods Applied to BCI Systems for Restoring Motor Functions ; 12. Enhancing Telerehabilitation Using Wearable Sensors and AI-Based Machine Learning Methods
| Erscheinungsdatum | 03.05.2024 |
|---|---|
| Reihe/Serie | Emerging Trends in Biomedical Technologies and Health informatics |
| Zusatzinfo | 44 Tables, black and white; 1 Line drawings, color; 60 Line drawings, black and white; 10 Halftones, black and white; 1 Illustrations, color; 70 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 453 g |
| Themenwelt | Medizin / Pharmazie ► Medizinische Fachgebiete ► Biomedizin |
| Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie | |
| Naturwissenschaften ► Biologie | |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Maschinenbau | |
| Technik ► Medizintechnik | |
| Technik ► Umwelttechnik / Biotechnologie | |
| ISBN-10 | 1-032-63525-8 / 1032635258 |
| ISBN-13 | 978-1-032-63525-5 / 9781032635255 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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