Cloud-Based Machine Learning for Artificial Intelligence Applications
Ayush Goyal

Cloud-Based Machine Learning for Artificial Intelligence Applications

Introduction

This peer-reviewed book will publish chapters on topics in cloud computing-based research employing machine learning techniques and methods for applications in pattern recognition, machine vision, computer vision, object detection, bioinformatics, healthcare, biomedical engineering, and other applications relevant to artificial intelligence. The research shows the use of both machine learning methods on cloud computing platforms such as AWS, Microsoft Azure, Google Cloud, etc. The data used should be uploaded to and processed in the cloud computing platforms. The data processed would be relevant to the application. However, the machine learning program should be deployed and run on the cloud computing platform.






About the Series

About Series - Cloud-Based Machine Learning for Artificial Intelligence Applications
Dr. Ayush Goyal

Dr. Ayush Goyal received his Ph.D. in computer science from the University of Oxford in 2013. Currently, he is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Texas A&M University – Kingsville. His research interests are in machine learning algorithms and artificial intelligence models with applications in computer vision, machine vision, object detection, image processing, biomedical engineering, and biomedical image processing. He has worked as a research assistant at King’s College London in biomedical engineering, with a specialization in medical image processing. He has also done post-doctoral research at Tulane University in bioinformatics.


Dr. Ashish Sharma

Dr. Ashish Sharma received his Ph.D. in the field of Computer Science, M. Tech in Computer Science, and MCA in Computer Applications). His research area is data mining, especially working for Supervised and Unsupervised Machine Learning algorithms. Dr. Ashish and his team have filed a patent on “IoT Enabled Solar Power Based Real-time Environment Monitoring Device”, Patent No: 201811013241A. In 2013, he won the Best Mentor Award by IBM India Pvt. Ltd. Recently, Bestow Edutrex, International Award 2020 awarded him as a Best Young Faculty Award on September 5, 2020, Certificate No: BEIL/ISO/AW/20/0146. Dr. Ashish has written more than 25 papers of SCI (IF 2.5), Scopus indexed journals, and conferences. Dr. Ashish has also delivered sessions in FDPs organized at National and International levels. His research interests are in Machine Learning Algorithms and Artificial Intelligence models with applications in computer vision, Machine Vision, Object Detection, Image Processing, Biomedical Engineering, and Biomedical Image Processing.