Signal Processing Roadmap: Technologies, Applications, and Future Directions explores cutting-edge and emerging signal-processing techniques across various measurement and monitoring applications, serving as an authoritative reference for engineers, researchers, and technologists. The book critically analyzes key signal processing considerations such as uncertainty modeling that enable more intelligent and reliable next-generation measurement systems, all of which are backed by real-world implementation examples in areas ranging from Internet of Things devices to complex biomedical equipment. In addition, sections provide an overview of the latest research in the hybrid information system modeling field, with a particular emphasis on practical applications in various fields. The book includes case studies and examples of how these models have been used to solve problems in finance, healthcare, engineering, and other related fields. Finally, the book reviews the theories and concepts related to non-linear optimization, fuzzy sets, and rough sets.
Dr. Pushan Kumar Dutta is an Associate Professor at Amity University Kolkata who has carved a distinctive niche in academia with over 12 years of academic experience. He earned his Ph.D. from Jadavpur University in 2015, followed by postdoctoral work as an Erasmus Mundus Scholar at the University of Oradea in Romania in 2016, which laid the foundation for a career drive for a position in institution of academic excellence. At the forefront of his contributions is an impressive editorial portfolio. Dr. Dutta has meticulously curated and edited over 60 books in the past couple of years for globally recognized publishers such as Springer, Elsevier, IET, Taylor & Francis, Cambridge Scholar Publishers, Degruyter, and IGI Global. His role as the manager of the "Sustainable Industrial Engineering Systems" book series for CRC Press further underscores his influence in shaping scholarly discourse on sustainability and engineering innovation. His editorial expertise spans rapidly evolving domains including artificial intelligence in healthcare, Industry 5.0 technologies, quantum computing applications,aviation and digital transformation strategies. A dedicated mentor and educator, Dr. Dutta has consistently empowered his students to excel and innovate, guiding them to garner international recognition through competitions like the Johnson Control International Whitepaper contest and Ideathon 5.0. His contributions to nurturing young talent have been acknowledged through accolades such as the "Mentor of Change" award by NITI Aayog, along with the prestigious Young Faculty Awards in 2018 and 2024. Complementing his teaching and editorial endeavors is an extensive research portfolio that includes over 200 Scopus-indexed publications, two pioneering Indian patents, and an Indian copyright. His professional recognitions extend to prestigious memberships and fellowships, including Senior Membership at the Indian Institute of Engineering, a Threws Fellowship, and a Fellowship at the EnTech Foundation. Dr. Dutta’s academic journey also includes significant teaching stints as an Assistant Professor at RGMCET in Nandyal, Andhra Pradesh, and as a lecturer for the Marine Electro Technology course at DG Shipping Taratala.
Pethuru Raj PhD works as chief architect and vice president of site reliability engineering (SRE) division of Reliance Jio Infocomm. Ltd. Bangalore. Previously he worked as a cloud infrastructure architect in the IBM Global Cloud Center of Excellence (CoE), Bangalore. He worked as a TOGAF-certified enterprise architecture (EA) consultant in Wipro Consulting Services (WCS) Division and as a lead architect in the corporate research (CR) division of Robert Bosch, India. He has gained more than 18 years of IT industry experience.
He finished the CSIR-sponsored PhD degree in Anna University, Chennai and continued the UGC-sponsored postdoctoral research in the department of Computer Science and Automation, Indian Institute of Science, Bangalore. Thereafter, he was granted a couple of international research fellowships (JSPS and JST) to work as a research scientist for 3.5 years in two leading Japanese universities. He has authored and edited 18 books thus far and he focuses on some of the emerging technologies such as Containerized Clouds; Big, Fast, and Streaming Data Analytics; Microservices architecture (MSA); Machine and Deep Learning Algorithms; Blockchain Technology; The Internet of Things; and Edge Computing. He has published more than 30 research papers in peer-reviewed journals such as IEEE, ACM, Springer-Verlag, Inderscience, etc.
Pronaya Bhattacharya received the Ph.D. degree from Dr. A. P. J Abdul Kalam Technical University, Lucknow, Uttar Pradesh, India. He is currently an Associate Professor and Head of Computer Science and Engineering Department, Amity School of Engineering and Technology, Amity University, Kolkata, India. He has over ten years of teaching experience. He has authored or coauthored more than 200 research papers in leading SCI journals and top core IEEE COMSOC A* conferences. Some of his top-notch findings are published in reputed SCI journals, such as IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Computational Social Systems, IEEE Transactions of Network and Service Management, IEEE Access, IEEE Sensors Journal, IEEE Internet of Things Magazine, IEEE Communication Standards Magazine, ETT (Wiley), Expert Systems (Wiley), CCPE (Wiley), FGCS (Elsevier), OQEL (Springer), WPC (Springer), ACM-MOBICOM, IEEE-INFOCOM, IEEE-ICC, IEEE-CITS, IEEE-ICIEM, IEEE-CCCI, and IEEE-ECAI. He has an H-index of 40 and an i10-index of 89. He has edited 22 books and is currently editing 8 books from famed publishers like IGI Global, Elsevier, and Springer. His research interests include healthcare analytics, optical switching and networking, federated learning, blockchain, and the IoT. He is listed as Top 2% scientists as per list published by Stanford University. He has been appointed at the capacity of a keynote speaker, a technical committee member, and the session chair across the globe. He was awarded Ten Best Paper Awards in Springer ICRIC-2019, IEEE-ICIEM-2021, IEEE-ECAI-2021, Springer COMS2-2021, and IEEE-ICIEM-2022. He is a Reviewer of 41 reputed SCI journals, such as IEEE Internet of Things Journal, IEEE Transactions on Industrial Informatics, IEEE Transactions of Vehicular Technology, IEEE Journal of Biomedical and Health Informatics, IEEE Access, IEEE Network magazine, ETT (Wiley), IJCS (Wiley), MTAP (Springer), OSN (Elsevier), WPC (Springer), and others.
Dr. Ishan Budhiraja earned his Ph.D. in Computer Science Engineering from the Thapar Institute of Engineering and Technology, Patiala, India in 2021. He received M.Tech. and B. Tech degree in Electronics and Communication Engineering from Maharishi Dayanand University, Rohtak, Haryana, in 2012 and Uttar Pradesh Technical University, Lucknow, India, in 2008, respectively. He worked as a Research Associate on the project Energy Management of Smart Home using cloud Infrastructure-A Utility Perspective, funded by CSIR, New Delhi, India. Some of his research findings are published in top-cited journals, such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Vehicular Technology, IEEE Transactions on Mobile Computing, IEEE Internet of Things, IEEE Wireless Communication Magazine, IEEE Systems Journal, and various international top-tiered conferences, such as IEEE GLOBECOM, IEEE ICC, IEEE WCMC, ACM, and IEEE Infocom. His research interests include device-to-device communications, the Internet of Things, Non-orthogonal multiple access, femtocells, deep reinforcement learning, and microstrip patch antenna.
KAPLUN DMITRII I. PhD (2009), Associate Professor (2015), Lead Researcher (2020) at Saint Petersburg Electrotechnical University “LETI” (Saint Petersburg, Russia), Full Professor (2023) at China University of Mining and Technology. In 2009 he defended his PhD thesis in digital signal processing at Saint Petersburg Electrotechnical University “LETI”. The current research and academic work are related with digital signal and image processing, embedded and reconfigurable systems, computer vision and machine learning. D. Kaplun regularly takes part in various interdisciplinary projects related to the use of computer vision and machine learning for biomedical data processing. The most substantial results are in the fields of digital signal and image processing, embedded systems and machine learning. Author of more than 100 papers in journals, including leading journals, and conference proceedings. He is an Associate/Guest Editor/Editorial Board Member such journals as Frontiers in Neuroinformatics, Industrial Artificial Intelligence, Scientific Reports, Signals.
