Mathematics

From Algorithms to Applications
Mathematics Shaping Smart Healthcare Technologies

Editors: Dr. Milan Srivastava
Dr. Neha Bhardwaj
Dr. Rashmi Singh
Aryan Chaudhary

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From Algorithms to Applications

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The forthcoming book From Algorithms to Applications: Mathematics Shaping Smart Healthcare Technologies aims to demystify the intricate relationship between mathematical algorithms and their tangible impact on the evolution of smart healthcare solutions. The primary goal is to provide a comprehensive understanding of foundational algorithms, including machine learning and optimization, and illustrate their real-world applications in healthcare.

Through insightful case studies, the book navigates the transition from algorithmic principles to practical implementations, emphasizing the transformative role mathematics plays in optimizing patient care, diagnostics, and healthcare system operations. The scope of the book spans the entire spectrum of mathematical applications in healthcare, addressing emerging trends such as AI-driven diagnostics and precision medicine. It also encompasses ethical considerations, ensuring a balanced discussion on responsible data use and patient privacy. With a forward-looking perspective, the book explores future directions, offering readers valuable insights into the evolving landscape of smart healthcare technologies. Ultimately, it serves as a guide for researchers, practitioners, and students, fostering a deeper appreciation for the pivotal role of mathematics in shaping the future of healthcare.

Chapters are invited in the following but not limited to:
Chapter 1: Foundations

• The Role of Mathematics in Healthcare Innovation
• Data Science and Healthcare: A Symbiotic Relationship
• Renewable Energy and AI Fundamentals

Chapter 2: Applications
• Algorithms Powering Smart Healthcare Technologies
• Mathematical Optimization in Healthcare Systems

Chapter 3: Advanced Applications
• Artificial Intelligence in Drug Discovery and Development
• Algorithmic Decision Support Systems for Personalized Medicine

Chapter 4: Real-World Impact
• Case Studies: Applying Mathematics to Real-World Healthcare Challenges

Chapter 5: Looking Ahead
• Future Trends and Innovations
• Mathematical Modelling for Public Health Policy and Resource Allocation
• The Ethical Landscape of Algorithmic Decision Making in Healthcare



Important dates:
Abstract submission: 20-07-2024
Abstract acceptance: 15-09-2024
Full chapter submission: 25-11-2024
Full chapter acceptance: 22-01-2025
Submission to Publisher: MAY 2025

Submission email Id.: mathsinsmarthealthcare2024@gmail.com


About the Authors / Editors:
Editors: Dr. Milan Srivastava
Assistant Professor, Sharda University, Greater Noida, India

Dr. Milan Srivastava is a passionate researcher and dedicated educator, serving as an Assistant Professor in the Department of Mathematics at Sharda University, located in Greater Noida, Uttar Pradesh, India. Dr. Srivastava has qualified the CSIR-UGC NET-JRF in June 2011. Her steadfast dedication to research commenced early in her career, supported by the UGC scholarship. This commitment culminated in the successful completion of her Ph.D. in Applied Mathematics from Delhi Technological University in 2018. Additionally, she demonstrated her academic prowess by qualifying for the Graduate Aptitude Test in Engineering (GATE) in Mathematics in 2011 and 2013, further showcasing her proficiency in the field. She has more than 8 years of teaching and research experience. She has contributed significantly to her field. Her research output includes numerous publications in esteemed SCI journals.

Dr. Neha Bhardwaj
Assistant Professor, Sharda University, Greater Noida, India

Dr Neha Bhardwaj has qualified PhD degree in Mathematics from Delhi Technological University, MSc Applied Mathematics from IIT Roorkee and BSc from CCS University. Her area of research is Approximation Theory, Linear Positive Operators and Sampling Theory. She has more than 13 years of and research experience. She has published 18 research papers in reputed national/international journals. She is a co-author of one book on Engineering Mathematics. During her research, she has been awarded International travel grant from DST under ITS. In 2018, she has received TARE fellowship funded by SERB(DST) and completed project in May, 2022. Presently, she is working as an Assistant Professor in Department of Mathematics in Sharda University, Greater Noida.

Dr. Rashmi Singh
Associate Professor, Amity University, Noida University, India

Dr Rashmi Singh is working as an Associate Professor in the Department of Mathematics, Amity Institute of Applied Sciences, Amity University, Noida. Her areas of research and interest are Nearness-like structures and Near set theory, soft set theory, rough set theory, fuzzy subset theory, general topology, and AI-ML. Her Doctorate degree is in "Merotopic Structures in Fuzzy Subset Theory" from the University of Allahabad, Uttar Pradesh, India. She has taught postgraduate and undergraduate students for the last 19 years and has been involved in research since 2001. She also worked as a research assistant at Allahabad Mathematical Society for three years, from 2002 to 2005. She is a member of various Professional bodies such as the Indian Science Congress Association, Indian Academy of Physical Sciences, Indian Mathematical Society, Member, American Mathematical Society, IAENG, ACM, Allahabad Mathematical Society, to name a few, and many other societies of Mathematical Sciences. She has published 30-plus research articles in various National and International Journals. She has supervised more than 30 Masters and undergraduate students. She is recognized as Editor and Reviewer for various referred and peer-reviewed National and International Journals. She is a recognized Research Supervisor and supervised one Ph.D. scholar; two are pursuing under her guidance. Moreover, Dr. Singh is the lead member of the NextGen Wearables Hub, operating under the umbrella of the Meerut ACM Professional Chapter.

Aryan Chaudhary
Chief Scientific Advisor, Bio-Tech Sphere Research, India

Aryan Chaudhary is the Chief Scientific Advisor at Bio-Tech Sphere Research, India. He continues to make groundbreaking contributions to the industry. Having served as the Research Head at Nijji HealthCare Pvt Ltd, he has demonstrated his expertise in leveraging revolutionary technologies such as artificial intelligence, deep learning, IoT, cognitive technology, and blockchain to revolutionize the healthcare landscape. His relentless pursuit of excellence and innovation has earned him recognition as a thought leader in the industry. His dedication to advancing healthcare is evident through his vast body of work. He has authored several influential academic papers on public health and digital health, published in prestigious international journals. His research primarily focuses on integrating IoT and sensor technology for efficient data collection through one-time and ambulatory monitoring. As a testament to his expertise and leadership, he is not only a keynote speaker at numerous international and national conferences but also serves as a series editor of a CRC book series and is the editor of several books on biomedical science. His commitment to the advancement of scientific knowledge extends further, as he acts as a guest editor for special issues in renowned journals. Recognized for his significant contributions, he has received prestigious accolades, including the “Most Inspiring Young Leader in Healthtech Space 2022” by Business Connect and the title of the best project leader at Global Education and Corporate Leadership. Moreover, he holds senior memberships in various international science associations, reflecting his influence and impact in the field. Adding to his accomplishments, Aryan Chaudhary is currently serving as a guest editor for a special issue in the highly regarded journal, EAI Endorsed Transactions on AI and Robotics, and he has joined the editorial board of Biomedical Science and Clinical Research (BSCR). Additionally, he is a respected professional member of the Association for Computing Machinery (ACM). He has been recently elected as Chair for an ACM professional chapter.




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