
Signal Processing Roadmap
Technologies, Applications, and Future Directions
- 1st Edition - March 1, 2026
- Editors: Pushan Kumar Dutta, Pethuru Raj, Pronaya Bhattacharya, Ishan Budhiraja, Dmitrii Kaplun
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 3 1 7 2 - 5
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 3 1 7 3 - 2
Signal Processing Roadmap: Technologies, Applications, and Future Directions explores cutting-edge and emerging signal-processing techniques across various measurement and monito… Read more
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- Provides a comprehensive reference for signal processing techniques in modern measurement systems
- Highlights the latest innovations and future directions that drive transformative capabilities
- Offers a roadmap for signal processing advances across application domains like 6G networks, pervasive health monitoring, industry 4.0
- Discusses emerging trends in areas like photonic signal processing, virtual/augmented reality, additive manufacturing, and autonomous robots
- Brings critical analysis of signal processing and uncertainty modelling for enabling next-generation smart measurement systems
2. Signal Uncertainty Modelling and Stochastic Estimation Techniques
3. Biosignal Analysis for Pervasive Health Monitoring
4. Real-Time Signal Processing for Brain-Computer Interfaces
5. Embedded Signal Processing for Internet of Things Devices
6. Image Reconstruction and Enhancement Techniques
7. Video Coding and Analytics Through Signal Processing
8. Signal Processing for 6G Wireless Networks
9. Multi-User Signal Processing for Interference Management
10. Sparse Signal Processing and Compressed Sensing
11. Spectrum and Energy-Efficient Wireless Communication Techniques
12. Convex and Non-Convex Optimization in Communications
13. Machine Learning for Physical and Medium Access Layers
14. High-Performance Computing Advances for Signal Processing
15. Photonic Signal Processing for Optical Communications
16. Signal Processing for Autonomous Systems and Robotics
17. Virtual, Augmented, and Mixed Reality Signal Processing
18. Signal Processing for Additive Manufacturing and Industry 4.0
19. Roadmap for Next-Generation Signal Processing Technologies
20. Emerging Trends in Hybrid Information Systems Modeling in Artificial Intelligence and Challenges
- Edition: 1
- Published: March 1, 2026
- Language: English
PD
Pushan Kumar Dutta
PR
Pethuru Raj
PB
Pronaya Bhattacharya
Dr. Pronaya Bhattacharya received a Ph.D. degree from Dr. A. P. J. Abdul Kalam Technical University, Lucknow, Uttar Pradesh, India. He is currently an Associate Professor with the 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 co-authored more than 130 research papers in leading SCI journals and top core IEEE COMSOC A* conferences. His work has been published in 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 on Green Communications and Networking, IEEE Transactions on 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), ComCom (Elsevier), OQEL (Springer), MTAP (Springer), WPC (Springer), ACM-MOBICOM, IEEE-INFOCOM, IEEE-GLOBECOM, IEEE-ICC, IEEE-CITS, IEEE-ICIEM, IEEE-CCCI, and IEEE-ECAI. His H-index is 24 and i10-index is 54, and he has 2246 citations to his credit. He also has 4 granted patents to his name. His research interests include healthcare analytics, optical switching and networking, federated learning, blockchain, and the IoT. He has been a keynote speaker, a technical committee member, and a session chair. He is a recipient of nine Best Paper Awards from Springer ICRIC-2019, IEEE-ICIEM-2021, IEEE-ECAI-2021, Springer COMS2-2021, and IEEE-ICIEM-2022. He is a Reviewer of 25 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, ETT (Wiley), IJCS (Wiley), MTAP (Springer), OSN (Elsevier), and WPC (Springer).
IB
Ishan Budhiraja
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.
DK
Dmitrii Kaplun
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.