NanoMind: Exploring Synergies in Nanotechnology and Machine Learning
Springer International Publishing (Verlag)
978-3-031-77295-5 (ISBN)
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NanoMind" serves as a captivating exploration at the crossroads of nanotechnology and machine learning, revealing the profound synergies between these two groundbreaking fields. At its core, the book is a guided tour through the intricate realms of nanoscale materials and artificial intelligence, illuminating their combined potential to reshape the landscape of innovation.
The journey begins with an introductory chapter, setting the stage for the convergence of nanotechnology and machine learning. Readers are introduced to the fundamental principles and applications of nanoscale materials, laying the groundwork for a deeper understanding of the nano-world. Simultaneously, the basics of machine learning are demystified, providing a comprehensive overview of the methodologies and concepts that underpin AI.
"Nanoscale Sensing and Imaging" takes readers into the realm of advanced technologies, showcasing how machine learning enhances our ability to sense and image materials at the nanoscale. The narrative then seamlessly transitions to the creation and optimization of materials with nano-enhancements in "Nano-Enabled Materials." This section demonstrates how the marriage of nanotechnology and machine learning can lead to the development of materials with unprecedented properties, fostering innovation in diverse industries.
The exploration extends into the field of healthcare with "Machine Learning in Nanomedicine," unveiling how AI at the nanoscale is transforming diagnostics, drug delivery, and personalized medicine. "Quantum Computing and Nanotechnology" delves into the cutting-edge intersection of quantum computing, nanotech, and machine learning, showcasing the potential for revolutionary advancements in computation and problem-solving.
However, the journey isn't without its challenges. The book devotes a section to "Challenges and Ethical Considerations," addressing the complexities and ethical dimensions associated with the convergence of nanotechnology and machine learning. This discussion ensures that readers are equipped to navigate the ethical landscape responsibly.
Dr. Shubham Mahajan, a distinguished member of prestigious organizations such as IEEE, ACM, and IAENG, boasts an impressive academic and professional background. He earned his B.Tech. degree from Baba Ghulam Shah Badshah University, his M.Tech. degree from Chandigarh University, and his Ph.D. degree from Shri Mata Vaishno Devi University (SMVDU) in Katra, India.
In recognition of his exceptional achievements, Dr. Mahajan has received numerous accolades and honours throughout his career. These include the Best Student Award in 2019, the IEEE Region-10 Travel Grant Award in 2019, the 2nd runner-up prize in the IEEE RAS HACKATHON in 2019 (held in Bangladesh), the IEEE Student Early Researcher Conference Fund (SERCF) in 2020, the Emerging Scientist Award in 2021, and the IEEE Signal Processing Society Professional Development Grant in 2021. His commitment to excellence in research was further underscored by his receipt of the Excellence in Research Award in 2023.
Dr. Susanta Das is a seasoned educator with a proven record of teaching and mentoring diverse students, working at multiple institutions, and providing service to the various initiatives of organizations. He received his Ph.D. and M.A. degrees from Western Michigan University (WMU), USA, and M.Sc. degree from Banaras Hindu University (BHU), India all in Physics. He continued his post-doctoral research as a Marie-Curie post-doctoral fellow at Stockholm University Stockholm, Sweden on beam diagnostics for the DESIREE (Double ElectroStatic Ion Ring ExpEriment) in the project DITANET (Diagnostic Techniques for particle Accelerators - a Marie-Curie initial training NETwork), at the Indian Institute of Science Education and Research-Kolkata, India on high-pressure physics as a Project Scientist-B, and at the University of Electro-Communications, Tokyo, Japan on ion-surface interactions as a Post-doctoral fellow.
Dr. Álvaro Rocha was listed in 2023 as World's 1% Top Scientists by Stanford University and Elsevier, World's Top 0.05% Scientist by ScholarGPS, and World's Top 1% Scientist by ResearchGate for the fields of Information Science and Information Systems. He is Professor at ISEG, University of Lisbon, Invited Professor at University of Calabria, Honorary Professor at Amity University, President of ITMA - Information and Technology Management Association, Vice-Chair of IEEE SMC Portugal Chapter, and Book Series Scientific Manager at Springer-Nature. He holds the title of Honorary Professor, and holds a D.Sc. in Information Science, Ph.D. in Information Systems and Technologies, M.Sc. in Information Management, and BCs in Computer Science.
Dr Debanjali Barman Roy has completed her Ph.D. Degree in Physics from ICFAI University, Dehradun. The title of her Ph.D. dissertation was "Fabrication and Characterization of Iron Oxide Nanomaterials and Nanocomposites for the Advanced Device Applications".
Dr. Paras Chawla received his B.Tech. (Honors) and M.Tech. degree in Electronics and Communication Engineering from Kurukshetra University; NIT, Kurukshetra and Ph. D. from Thapar University, Patiala. Completed One year Online Post Graduate Program in Artificial Intelligence and Machine Learning from Purdue University, USA & Master Course program from IBM. He has more than 20 years of teaching & administration experience
1. A Streamlined Yolov3 and Resnet-50 For Effective Leukemia Detection.- 2. Enhanced Pneumonia Detection Through EfficientNetV2-L,Vision Transformer (ViT), and ResNet-50 Image Analysis.- 3. Harnessing Nano & AI for Sustainable Energy Application.- 4. Machine Learning for Nano Process Optimization: Enhancing Efficiency in Nanofabrication.- 5. Nano AI Synergy: Advancements in Smart Materials, Devices and Intelligent Systems.- 6. Nanodrugs: Recent Development and Therapeutic Application.- 7. Nanotechnology for Energy Applications: Harnessing Nano and AI for Sustainable Energy.- 8. Nanotechnology in Energy: Advances in Harvesting, Storage, and Environmental Sustainability.- 9. Optimization approaches using Machine Learning techniques to Preidentification of Liver Cancer.- 10. Quantum Computing and Nanotechnology.- 11. Synergizing Nanotechnology and Artificial Intelligence for Society 5.0 Advancement through Intelligent Systems.- 12. Transmission of electrons in insulating PET nanocapillaries: Differences with slow ions and changes of sample properties.- 13. ZnO nanoparticles and nanocomposites in food packaging: A review.
| Erscheint lt. Verlag | 6.3.2025 |
|---|---|
| Reihe/Serie | Information Systems Engineering and Management |
| Zusatzinfo | Approx. 400 p. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Technik | |
| Schlagworte | Computational Intelligence • machine learning • nanoscale • nanotechnology • Smart Materials |
| ISBN-10 | 3-031-77295-4 / 3031772954 |
| ISBN-13 | 978-3-031-77295-5 / 9783031772955 |
| Zustand | Neuware |
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