Autor: KC Santosh

Ajutor
Professor KC Santosh, Ph.D. is the Chair of the Department of Computer Science (CS) at the University of South Dakota (USD). Prior to that, he worked as a research fellow at the U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). He worked as a postdoctoral research scientist at the LORIA research center, Université de Lorraine in direct collaboration with industrial partner ITESOFT, France. He also served as a research scientist at the INRIA Nancy Grand Est research center (France), where he received his Ph D in Computer Science – Artificial Intelligence.  His research projects, primarily in Applied AI, are funded (of more than $2m) by multiple agencies, such as SDCRGP, Department of Education, National Science Foundation, and Asian Office of Aerospace Research and Development. He completed leadership and training programs for Deans/Chairs (organized by the Councils of Colleges of Arts & Sciences (U.S. 21)) and PELI – President”s Executive Leadership Institute (USD 21). He is highly motivated/interested in academic leadership. To name a few, Prof. Santosh is the proud recipient of the Cutler Award for Teaching and Research Excellence (USD 2021), the President”s Research Excellence Award (USD 2019) and the Ignite Award from the U.S. Department of Health & Human Services (HHS 2014).   Casey Wall is a prestigious National Science Foundation (NSF) Research Traineeship Program awardee—graduate student at University of South Dakota. His research interests lie in Multimodal representation and learning for security and counterfeiting that addresses the national concern in understanding and disrupting the illicit economy.




14 Ebooks de KC Santosh

Nibaran Das & Teresa Goncalves: Document Processing Using Machine Learning
Document Processing Using Machine Learning aims at presenting a handful of resources for students and researchers working in the document image analysis (DIA) domain using machine learning since it …
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€55.40
Nibaran Das & Teresa Goncalves: Document Processing Using Machine Learning
Document Processing Using Machine Learning aims at presenting a handful of resources for students and researchers working in the document image analysis (DIA) domain using machine learning since it …
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€55.53
Nibaran Das & Swarnendu Ghosh: Deep Learning Models for Medical Imaging
Deep Learning Models for Medical Imaging explains the concepts of Deep Learning (DL) and its importance in medical imaging and/or healthcare using two different case studies: a) cytology image …
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€97.42
KC Santosh & Loveleen Gaur: Artificial Intelligence and Machine Learning in Public Healthcare
This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure …
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€69.54
Ravindra Hegadi & Umapada Pal: Recent Trends in Image Processing and Pattern Recognition
This volume constitutes the refereed proceedings of the 4th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2021, held in Msida, Malta, in December 2021. …
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€88.67
KC Santosh & Casey Wall: AI, Ethical Issues and Explainability—Applied Biometrics
AI has contributed a lot and biometrics is no exception. To make AI solutions commercialized/fully functional, one requires trustworthy and explainable AI (XAI) solutions while respecting ethical …
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€53.49
Djamila Aouada & Yao-Yi Chiang: Recent Trends in Image Processing and Pattern Recognition
This book constitutes the refereed proceedings of the 5th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2022, held in Kingsville, TX, USA, in …
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€99.20
Aboul Ella Hassanien & Abdelkrim Haqiq: The 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5–7, 2023
This book presents the proceedings of the 3rd International Conference on Artificial Intelligence and Computer Vision (AICV’2023) which will be held in Marrakesh, Morocco, during March 05–07, 2023. T …
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€287.83
KC Santosh & Suprim Nakarmi: Active Learning to Minimize the Possible Risk of Future Epidemics
Future epidemics are inevitable, and it takes months and even years to collect fully annotated data. The sheer magnitude of data required for machine learning algorithms, spanning both shallow and de …
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€48.14
Mohamed-Rafik Bouguelia & Myra Conway: Recent Trends in Image Processing and Pattern Recognition
This book constitutes the refereed proceedings of the 6th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2023, held in Derby, UK, during December 2023, …
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€94.38
Mohamed-Rafik Bouguelia & Myra Conway: Recent Trends in Image Processing and Pattern Recognition
This book constitutes the refereed proceedings of the 6th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2023, held in Derby, UK, during December 2023, …
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€94.38
Ashish Ghosh & Atul Patel: Soft Computing and Its Engineering Applications
The two-volume proceedings constitutes the refereed proceedings of the 5th International Conference on Soft Computing and its Engineering Applications, ic Soft Comp 2023, held in Changa, Anand, …
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€82.34
Ashish Ghosh & Atul Patel: Soft Computing and Its Engineering Applications
The two-volume proceedings constitutes the refereed proceedings of the 5th International Conference on Soft Computing and its Engineering Applications, ic Soft Comp 2023, held in Changa, Anand, …
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€76.00
Siddhi K. Bajracharya & Rodrigue Rizk: Cracking the Machine Learning Code: Technicality or Innovation?
Employing off-the-shelf machine learning models is not an innovation. The journey through technicalities and innovation in the machine learning field is ongoing, and we hope this book serves as a …
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€176.83