Math Optimization for Artificial Intelligence
De Gruyter (Verlag)
978-3-11-143605-0 (ISBN)
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This book explores how heuristic and metaheuristic methodologies have revolutionized the fields of robotics and machine learning. The book covers the wide range of tools and methods that have emerged as part of the AI revolution, from state-of-the-art decision-making algorithms for robots to data-driven machine learning models. Each chapter offers a meticulous examination of the theoretical foundations and practical applications of mathematical optimization, helping readers understand how these methods are transforming the field of technology.
This book is an invaluable resource for researchers, practitioners, and students. It makes AI optimization accessible and comprehensible, equipping the next generation of innovators with the knowledge and skills to further advance robotics and machine learning. While artificial intelligence constantly evolves, this book sheds light on the path ahead.
Dr. Umesh Kumar Lilhore
Presently working as a postdoctoral research fellow in Louisiana at Lafayette since 2022. He previously worked in various reputed universities and colleges, including Chandigarh University, Punjab, KIET Group of Institutions NCD, Delhi, Chitkara University Punjab, SAGE University Inore and NIIT Bhopal. He has gained more than 19 years of teaching experience and 8 years of research experience. Finished the PhD degree and Mtech degree in CSE, RGPV, and continued with postdoctoral research in the Institute of advance computing, University of Louisiana at Lafayette. He has published many articles in reputed, peer-reviewed national and international Scopus journals and conferences. Additionally, he has served as a keynote speaker and resource person for several workshops and webinars conducted in India. He has been an ACM and IEEE professional member. His research includes digital transformation technologies such as Artificial Intelligence (AI), Quantum Computing, Internet of Things (IoT), Blockchain, Edge and Serverless computing, Cloud-native computing and Digital Twins.
Vishal Dutt
I hold a distinguished Gold Medallist MCA degree from MDS University in Ajmer, Rajasthan, India. Currently, I am employed Technical trainer at the esteemed Department of Computer Science & Engineering, located at Chandigarh University, Mohali, Punjab, India. I am a dedicated and experienced professional trainer, specializing in Research and Development. I am a dedicated researcher with extensive experience in healthcare, utilizing data science and quantum computing to drive transformative advancements. Additionally, I have executed numerous projects of data analytics. My expertise lies in uncovering insights from complex healthcare datasets and promoting sustainable practices in water conservation. With a passion for education and a commitment to promoting innovation, I have contributed significantly to the growth and development of various reputed universities like Chandigarh University, Punjab; Chitkara University, Himachal Pradesh; Poornima University, Rajasthan etc. As a core and founding member of various research actively participated in shaping the research culture within the departments. I have a total Academic teaching experience of more than 7.5 years. I have more than 50 publications in reputed, SCI, Scopus, Springer Journals & Conferences, peer-reviewed National and International journals, and Book Chapters. I have edited 1 book with Wiley and 2 books are under process, 4 books with IGI-Global, USA, 1 book with De Gruyter, and 2 books with Eureka. I have been a keynote speaker and resource person for many workshops and webinars in India. I have been a reviewer for Elsevier, Springer, and IEEE Access. I have been a Program Committee Member and Reviewer at the International Conference on Computational Intelligence and Emerging Power Systems ICCIPS 2021. My research area includes- Data Science, Data Mining, Machine Learning, and Deep Learning, IoT, and Natural Resources. I also have Data Analytics Experience in Rapid Miner, Tableau, and WEKA. I have been working for more than 6 years in the field of Java and Android Development.
Dr. T. Ananth Kumar
Dr. T. Ananth kumar is working as Associate Professor in IFET college of Engineering(Autonomous) affiliated to Anna University, Chennai. He received his Ph.D. degree in VLSI Design from Manonmaniam Sundaranar University, Tirunelveli. He received his Master's degree in VLSI Design from Anna University, Chennai and Bachelor's degree in Electronics and communication engineering from Anna University, Chennai. He has presented papers in various National and International Conferences and Journals. His fields of interest are Networks on Chips, Computer Architecture and ASIC design. He has received awards such as Young Innovator Award, Young Researcher Award, Class A Award
Erscheint lt. Verlag | 31.1.2025 |
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Reihe/Serie | Mathematical Methods in the Digital Age ; 2 |
Zusatzinfo | 30 b/w and 10 col. ill., 20 b/w and 5 col. tbl. |
Verlagsort | Berlin/Boston |
Sprache | englisch |
Maße | 170 x 240 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
Technik | |
Schlagworte | Mathematical Optimization Artificial Intelligence Machine Learning Heuristic and Metaheuristic Metho • Mathematical Optimization Artificial Intelligence Machine Learning Heuristic and Metaheuristic Methods Robotics |
ISBN-10 | 3-11-143605-5 / 3111436055 |
ISBN-13 | 978-3-11-143605-0 / 9783111436050 |
Zustand | Neuware |
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