CR Rao

Biography:

Prof. Chillarige Raghavendra Rao is a distinguished retired professor whose career bridges mathematics, computer science, artificial intelligence, and healthcare innovation. Over four decades, he has shaped fields such as data mining, rough set theory, simulation modeling, bioinformatics, and digital health systems, producing more than 200 journal and conference publications. He has guided over 15 Ph.D. scholars and more than 70 M.Tech. theses, leaving a deep mark on academic and applied research.

His work consistently shows how mathematical modeling and intelligent systems can address critical problems in life sciences and public health. From wavelet-based cancer diagnostics to big data-driven medical imaging and decision tree algorithms for adolescent well-being, his research demonstrates how computing can advance clinical insights and policy. His leadership in projects with DRDO and agricultural research institutions, particularly in simulation platforms and epidemiological modeling, has had tangible national impact.

In the realm of healthcare AI, Prof. Rao was an early advocate for applying rough sets, statistical learning, and soft computing to pattern recognition, diagnostics, and resource optimization. His pioneering contributions include hybrid systems for disease modeling, gesture recognition for assistive devices, and knowledge extraction from complex biological datasets. His coedited volumes with Springer and CRC Press underscore his ability to translate rigorous theory into actionable, deployable solutions.

Even after retirement, Prof. Rao continues to mentor and inspire. He currently serves as Honorary Director for R&D at VBIT and Adjunct Professor at IIITDM Kurnool, while also engaging with boards, conferences, and public lectures. As the academic guide to this book, he anchors the work in scientific depth and real-world relevance, ensuring that advances in AI and digital health remain focused on improving human well-being.

Sandeep

Biography:

Dr. Sandeep Kautish is the Director of the Institute of Innovation at Physics Wallah, Noida, India, with more than 20 years of experience in academia and academic administration. He holds a PhD in Computer Science, specializing in intelligent systems in social networks, and has built his career around advancing both research and innovation.

His research spans healthcare analytics, business analytics, data mining, and information systems. Over the years, he has published more than 100 research papers, including 31 in highly ranked JCR Q1 journals, and has authored or edited over 20 books with leading publishers such as Springer, Elsevier, and Wiley.

In 2022, Dr. Kautish developed a novel distributed denial-of-service mitigation strategy for hybrid cloud environments, which was published in the prestigious IEEE Transactions on Industrial Informatics. He also holds a 2019 patent for an AI-driven solar energy device, showcasing his interest in applying advanced technologies to practical challenges.

With over 3200 citations and an H-index of 31 on Google Scholar, Dr. Kautish is recognized as a highly cited researcher. He is regularly invited as a keynote speaker at international events and has played a key role in organizing conferences, workshops, and faculty development programs across India and abroad.

Keshav

Biography:

Dr. Keshav Kaushik is a distinguished cybersecurity and digital forensics expert, currently serving as an Associate Professor at the Sharda School of Computer Science & Engineering, Sharda University, Greater Noida, India. A key member of the Cybersecurity Centre of Excellence, he has been instrumental in advancing research and education in cybersecurity, AI-driven security solutions, and digital forensics. Recognized among the World’s Top 2% Scientists by Stanford University and Elsevier (2024), he has made significant contributions to academia and research. His academic journey includes a prestigious faculty internship at IIT Ropar during the Summer Faculty Research Fellow Programme 2016, demonstrating his commitment to continuous learning. With over 150 publications, including 25 peer-reviewed SCI/SCIE/Scopus-indexed journal articles and 50+ Scopus-indexed conference papers, he has established himself as a leading researcher. Additionally, he has authored 30 books and 25 book chapters, reinforcing his expertise in cybersecurity and digital forensics. An innovator in his field, Dr. Kaushik holds one granted patent, six published patents, and five granted copyrights. His editorial leadership includes serving as Guest Editor for the IEEE Journal of Biomedical and Health Informatics (SCIE, IF: 7.7) and Associate Editor for journals such as IECE Transactions on Emerging Trends in Network Systems, IECE Transactions on Sustainable Computing, International Journal of Sensors, Wireless Communications and Control (Scopus-indexed, Bentham Science), and International Journal of Information Security and Privacy (IJISP, ESCI, Scopus-indexed). He is also an Editorial Board Member of Springer’s International Cybersecurity Law Review. Dr. Kaushik is a Certified Ethical Hacker (CEH v11), CQI & IRCA Certified ISO/IEC 27001:2013 Lead Auditor, Quick Heal Academy Certified Cyber Security Professional (QCSP), and IBM Cybersecurity Analyst, further validating his expertise. He is a Vice-Chairperson of the Meerut ACM Professional Chapter, an appointed Bentham Ambassador by Bentham Science Publishers, and a member of the International Association of Engineers (IAENG). A dynamic speaker and mentor, he has delivered over 50 national and international talks on cybersecurity, AI security, and digital forensics. His mentorship was recognized in the Smart India Hackathon 2017, earning appreciation from AICTE, MHRD, and ISRO. He has also contributed to cybercrime investigation training and has been honored by the Uttarakhand Police for his efforts in cybersecurity education. A two-time GATE qualifier with a 96.07 percentile (2012 & 2016), he continues to drive impactful research, innovation, and education in cybersecurity, making significant contributions to academia and the industry.

Tejesh

Biography:

Dr. Tejesh Reddy Singasani is an AI expert, researcher, and technology innovator with over a decade of experience in enterprise systems, automation, and cloud solutions. He earned his Ph.D. in Information Technology with a focus on trust in AI systems, addressing challenges of transparency, ethics, and reliability in next-generation intelligent applications.

Throughout his career, Dr. Singasani has worked with leading global organizations including Verizon, Capgemini, and Deloitte, where he has designed and delivered solutions in Integration, PEGA, Cloud, and automation frameworks. His expertise spans artificial intelligence, enterprise automation, and the integration of emerging technologies into business ecosystems.

An active researcher, he has published more than 20 peer-reviewed papers and articles on AI, automation, and digital transformation. He has also been an invited speaker at major industry events, where he presented on the intersection of generative AI and workflow automation.

Dr. Singasani is passionate about bridging research and practice, empowering enterprises to adopt trustworthy AI, and inspiring the next generation of innovators through thought leadership and knowledge sharing.

Sairohith

Biography:

Mr. Sairohith Thummarakoti is a Pega technology leader, Agentic AI expert, researcher, and technology innovator with more than a decade of experience in cloud computing and enterprise application development. He serves on the Industry Advisory Board at Texas A&M University–Kingsville, where he contributes to curriculum design, mentors students, and delivers guest lectures connecting academic learning with industry practice. He is also the Founding Chair of the IEEE Computer Society Chapter in Columbia, USA, where he leads initiatives that advance professional development, technical education, and interdisciplinary collaboration.

He has led large-scale initiatives to modernize and optimize mission-critical healthcare and enterprise systems, impacting millions of users worldwide. His expertise spans oncology care platforms, clinical applications, and telehealth infrastructure, advancing patient care through secure, scalable, and intelligent digital solutions. His work covers cancer care management, AI-driven diagnostics, and robotic process automation, driving efficiency, reducing clinician workload, and improving patient outcomes.

Sairohith’s expertise lies in Agentic AI and in building enterprise-scale systems using Pega technology. He has applied these capabilities to design and implement intelligent platforms that deliver automation, scalability, and resilience across healthcare and enterprise environments. His projects demonstrate how advanced AI frameworks and low-code platforms can be combined to create high-impact solutions for oncology navigation, digital health, and mission-critical enterprise applications.

A recognized global thought leader, he has delivered invited talks, keynote lectures, and technical sessions at leading international forums. He has served as Session Chair and expert panelist at global symposia, while also reviewing more than 200 research manuscripts for top-tier journals and conferences. His patented innovations in AI-powered data optimization, cloud infrastructure, and automation highlight both his technical depth and applied impact. He also launched the HIMSS-endorsed Future of Healthcare book series, shaping global discourse at the intersection of healthcare and technology. In addition, he serves as editor for forthcoming volumes on Agentic AI, published by leading academic publishers such as Taylor & Francis, further strengthening his role as a voice of authority in emerging AI research and applications.

Ganesh

Biography:

Dr. M. Ganesh Kumar is an Assistant Professor in the Department of Electronics and Communication Engineering at QIS College of Engineering and Technology, Ongole, Andhra Pradesh. He earned his BTech and MTech from JNTUA Anantapur and completed his PhD at VIT-AP University, Amaravati. His work sits at the intersection of medical image processing, deep learning, and the Internet of Things, with a focus on clinically useful, data-driven systems. His current affiliation and research focus are reflected across his Google Scholar and ResearchGate profiles.

Ganesh’s research centers on building reliable computer-vision pipelines for healthcare. Recent publications include a study on knee osteoarthritis severity classification using enhanced image sharpening and convolutional neural networks in Applied Sciences (MDPI, 2023), and follow-on work targeting optimization-tuned DCNN classifiers for musculoskeletal imaging in 2024. Together, these papers show a consistent thread of translating modern deep learning into decision support for clinicians.

He has also contributed to image-analysis and pattern-recognition work during his time at VIT-AP, including CNN-based classification studies and a review on machine-learning approaches for rheumatoid and osteoarthritis, underscoring his broader interest in musculoskeletal imaging and diagnostic support.

At QIS, Ganesh engages actively with the academic community and students, with the department highlighting faculty innovations and outreach. Department posts and social channels have featured his recent publications and recognition, reflecting his ongoing work in applied AI for healthcare.

Research interests: medical image processing, deep learning for diagnosis and triage, and IoT-enabled health systems. He is particularly interested in robust pre-processing, optimization-guided model tuning, and end-to-end deployment considerations that bridge lab results and clinical workflows.

Email:

Vipin

Biography:

Vipin Kataria is an IEEE Senior Member and Distinguished SCRS Fellow with 21+ years of experience in enterprise cloud platforms and AI systems. As Lead Architect - Data/ML at Picarro, he designs cloud data solutions for environmental monitoring and hazardous gas detection, processing real-time IoT sensor data for Fortune 500 companies.

His career spans leading technology companies where he built scalable solutions: at Intel Corporation, he architected automated diagnostic systems for XMM modem platforms; at Amazon, he developed enterprise-grade cloud solutions; and at Aricent Technologies and TCS, he delivered telecommunications and enterprise software platforms. This diverse experience across hardware, cloud, and enterprise domains uniquely positions him to solve complex technical challenges.

A sought-after speaker in the AI and data science community, Vipin has presented at leading conferences including CDAO Chicago and DSS Miami, and participated as a panelist at the Applied AI Summit. He actively contributes to the AI research community as an author and peer-reviewer of cutting-edge research papers, and serves as a judge for international AI awards and hackathons, helping evaluate breakthrough innovations. He's currently writing "The Agentic Enterprise," which explores how AI agents transform marketing, customer experience, and enterprise operations.

His expertise spans modern data architecture, advanced analytics pipelines, and next-generation AI systems that drive business transformation. Based in Fremont, California, he continues advancing cloud architecture, machine learning, and IoT technologies through both industry practice and thought leadership.

Email:

Hari

Biography:

Mr. Maruturi Haribabu is an Assistant Professor in the Department of Electronics and Communication Engineering at QIS College of Engineering and Technology, Ongole, Andhra Pradesh. His academic background includes a BTech and MTech from JNTUK Kakinada, and he is currently pursuing his PhD at VIT Chennai, where his recent publications list him with the School of Electronics Engineering. His research spans medical image processing, deep learning, optimization algorithms, the Internet of Things, and advanced fuzzy set theory, with a consistent focus on clinically useful image fusion and decision support systems. 

Haribabu’s recent work advances multimodal medical image fusion using modern fuzzy set formalisms. He co-authored an intuitionistic fuzzy set–based fusion method in Diagnostics (2023) that improves contrast and edge preservation for diagnostic images. He followed this with a Pythagorean fuzzy set approach in Scientific Reports (2023), and most recently a fermatean fuzzy set plus whale optimization framework in Computers in Biology and Medicine (2025). Together, these papers show a progression from intuitionistic to Pythagorean to fermatean fuzzy modeling, each step aimed at higher quality fused outputs that aid clinical assessment.

At QIS, he teaches and mentors in electronics and communication with an emphasis on signal and image processing and applied AI. His broader goal is straightforward: build reliable, efficient vision pipelines that bridge lab results and real clinical workflows, from pre-processing and fusion rules to optimization-guided parameter tuning and evaluation on standard medical datasets. Selected publications include Diagnostics 13:2330 (2023), Scientific Reports 13:16726 (2023), and Computers in Biology and Medicine 189:109889 (2025).