J. Joshua Thomas

J. Joshua Thomas received his PhD. degree from University Sains Malaysia (USM), School of Computer Sciences, in 2015. He worked as research assistant at the Artificial Intelligence Lab in University Sains Malaysia. His research interests include scheduling algorithms, machine learning algorithms, data analytics, deep learning, and visual analytics, and Chemoinformatics. Dr. J. Joshua has authored several publications in leading international conferences and journals. Some of his research work were published in conferences including, IEEE, ICONIP, IVIC, IV, COMPSE, ICO. He has funded external, internal, short term research grants and industry collaborative projects. He has been invited as plenary speaker at IAIM2019, delivered, conduct Workshop's (IVIC19) at International conferences. He is an Associate Editor for the journal of Energy Optimization and Engineering (IJEOE), and invited as guest editor for JVLC-Elsevier, IJDSA-Springer, IJCC-IGI-Global, IJIRR-Inderscience.

Publications

Operational Research for Renewable Energy and Sustainable Environments
Joshua Thomas, Gerhard Wilhelm Weber, Roman Rodríguez Aguilar, Elias Munapo, Pandian Vasant. © 2024. 350 pages.
The application of contemporary and emerging operational research optimization methods in renewable energy is vital to creating and maintaining sustainable environments across...
Scalable and Distributed Machine Learning and Deep Learning Patterns
J. Joshua Thomas, S. Harini, V. Pattabiraman. © 2023. 286 pages.
Scalable and Distributed Machine Learning and Deep Learning Patterns is a practical guide that provides insights into how distributed machine learning can speed up the training...
Smart Cities and Machine Learning in Urban Health
J. Joshua Thomas, Vasiliki Geropanta, Anna Karagianni, Vladimir Panchenko, Pandian Vasant. © 2022. 269 pages.
The perception of smart cities encompasses a strategy that uses different types of technologies, artificial intelligence (AI), and machine learning and in which, through the...
Preface
Pandian Vasant, Valeriy Kharchenko, Vladimir Panchenko, Joshua Thomas, Gerhard-Wilhelm Weber, Wonsiri Punurai. © 2021. 8 pages.
This Preface is included in the book Research Advancements in Smart Technology, Optimization, and Renewable Energy.
Deep Learning Techniques and Optimization Strategies in Big Data Analytics
J. Joshua Thomas, Pinar Karagoz, B. Bazeer Ahamed, Pandian Vasant. © 2020. 355 pages.
Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method...
Convolutional Graph Neural Networks: A Review and Applications of Graph Autoencoder in Chemoinformatics
J. Joshua Thomas, Tran Huu Ngoc Tran, Gilberto Pérez Lechuga, Bahari Belaton. © 2020. 17 pages.
Applying deep learning to the pervasive graph data is significant because of the unique characteristics of graphs. Recently, substantial amounts of research efforts have been...
Handbook of Research on Smart Technology Models for Business and Industry
J. Joshua Thomas, Ugo Fiore, Gilberto Perez Lechuga, Valeriy Kharchenko, Pandian Vasant. © 2020. 491 pages.
Advances in machine learning techniques and ever-increasing computing power has helped create a new generation of hardware and software technologies with practical applications...
Smart Computerized Essay Scoring Using Deep Neural Networks for Universities and Institutions
J. Joshua Thomas, Lim Ting Wei, Y. Bevish Jinila, R. Subhashini. © 2020. 28 pages.
This chapter develops a web-based automated text scoring (ATS) system that can grade essays and check for spelling errors. The main reason behind this work is to alleviate the...
International Journal of Energy Optimization and Engineering (IJEOE)
Jose Marmolejo-Saucedo, Gerhard-Wilhelm Weber, Pandian Vasant. Est. 2012.
The International Journal of Energy Optimization and Engineering (IJEOE) publishes global research in the areas of energy optimization and engineering. This journal provides...
Adaptable QoS Management Communication Architectures for User Perception
G. Ghinea, J. P. Thomas. © 2003. 19 pages.
Distributed multimedia systems are characterised by a broad spectrum of quality of service (QoS) parameters which must be managed dynamically to ensure an acceptable user...