
Handbook of Deep Learning Models for Healthcare Data Processing
Disease Prediction, Analysis, and Applications
$89.25
- Paperback
20 pages
- Release Date
16 October 2026
Summary
In recent years, deep learning has shown great potential in transforming various fields including healthcare. With the abundance of healthcare data being generated every day, there is a pressing need to develop efficient algorithms that can process and analyze this data to improve patient care and treatment outcomes.
Handbook of Deep Learning Models for Healthcare Data Processing: Disease Prediction, Analysis, and Applications covers a wide range of deep learning models, tech…
Book Details
| ISBN-13: | 9781032740256 |
|---|---|
| ISBN-10: | 1032740256 |
| Author: | Ajay Kumar, Deepak Dembla, Seema Tinker, Surbhi Bhatia Khan |
| Publisher: | Taylor & Francis Ltd |
| Imprint: | CRC Press |
| Format: | Paperback |
| Number of Pages: | 20 |
| Release Date: | 16 October 2026 |
| Dimensions: | 156mm x 234mm |
| Series: | Advancements in Intelligent and Sustainable Technologies and Systems |

Ajay Kumar
Prof. (Dr.) Ajay Kumar
Professor (Research Track), Department of Mechanical Engineering, School of Core Engineering, Faculty of Science, Technology & Architecture, Manipal University Jaipur, Rajasthan, India.
- Education: Ph.D. in advanced manufacturing and automation; B.Tech. with honors in mechanical engineering; M.Tech. with distinction in manufacturing and automation.
- Research Areas: Biomedical engineering, incremental sheet forming, artificial intelligence, sustainable materials, robotics and automation, additive manufacturing, mechatronics, smart manufacturing, Industry 4.0, industrial engineering systems, waste management, and optimization techniques.
- Publications: Over 100 publications in international journals (SCOPUS, Web of Science, SCI-indexed) and refereed international conferences.
- Conferences Organized: Conference Chair for International Conference on Mechatronics and Artificial Intelligence (ICMAI-2021) and International Conference on Artificial Intelligence, Advanced Materials, and Mechatronics Systems (AIAMMS-2023).
- Patents: More than 20 national and international patents.
- Experience: 15 years in teaching and research; supervised over eight M.Tech and Ph.D. scholars.
- Other Contributions: Guest editor for several journals; session chair, expert speaker, and editorial board member for international conferences/symposiums; co-authored/co-edited over 15 books and proceedings.
- Awards: Various proficiency awards including merit awards and best teacher awards.
Dr. Deepak Dembla
Dean and Head of Department, School of Computer Applications; Director of Internships and Accreditation, JECRC University, Jaipur.
- Education: M.Tech. in IT; MCA and Ph.D. from Guru Jambheshwar University; Postgraduate degree in business management.
- Experience: 22 years total experience.
- Specializations: Mobile ad hoc networks, wireless networks, software engineering, cloud computing, AI, & machine learning.
- Publications: 61 research papers in international and national journals (including SCI-listed) and conferences (IEEE, ACM).
- Editorial Boards: Member of editorial boards for various international journals.
- Supervision: Guided a dozen M.Tech. students and actively guiding 10 research scholars for Ph.D. programs.
- Professional Memberships: ACM, IEEE, International Association of Engineers, International Association of Computer Science and Information Technology.
- Patents: 10 patents, including one in Germany.
Dr. Seema Tinker
Professor, Mathematics Department, JECRC University.
- Education: Ph.D. in mathematics.
- Experience: Over 22 years of academic experience.
- Research Areas: Blockchain, machine learning, deep learning, fluid dynamics, and relativity.
- Publications: Over 35 articles in esteemed international publications (Scopus, Web of Science, SCI); presented over 20 papers at national and international conferences.
- Certifications: Ten certifications in machine and deep learning from institutions including Stanford University and Imperial College London.
- Books: Produced three books.
- Patents: Five patents on machine and deep learning topics, one issued in Germany.
- Awards: “Best Faculty Award” and “Certificate of Excellence.”
- Other Contributions: Instructor in academic programs organized by the National Centre for Mathematics; session chair, co-chair, organizing committee member, reviewer, and keynote speaker at conferences.
Surbhi Bhatia Khan
Lecturer, Department of Data Science, School of Science, Engineering and Environment, University of Salford, Manchester, United Kingdom.
- Education: Doctorate of Computer Science and Engineering (Machine Learning and Social Media Analytics); Professional certification from Project Management Institute, United States.
- Experience: Over 11 years of academic and teaching experience.
- Publications: 100+ papers in reputed high-indexed journals; authoring or editing 14 books.
- Patents: 12 international patents (India, Australia, United States).
- Research Projects: Completed funded research projects from the Deanship of Scientific Research (Saudi Arabia and India); submitted a UK Research and Innovation project with a grant of GBP 400,000; leading a project with Majmah University (Saudi Arabia) with a grant of SAR 1.5 million.
- Professional Memberships: Senior Member of IEEE, IEEE Young Professionals, ACM.
- Conferences: Chaired several international conferences and workshops; delivered over 20 invited and keynote talks.
- Other Roles: Adjunct Professor at Shoolini University; Academic Editor, Associate Editor, or Guest Editor for many reputed journals.
- Awards: Research Excellence award from King Faisal University (Saudi Arabia) in 2021.
- Interests: Information systems, sentiment analysis, machine learning, databases, and data science.
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