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Joseph M. Arul
Fu Jen Catholic University
Hsin Chuang City,Taipei Hsien, Taiwan

Joseph M. Arul is currently an associate professor in the Department of Computer Science and Information Engineering at Fu Jen Catholic University. He received his master’s degree in computer science from DePaul University in 1994, and his PhD from the University of Alabama in Huntsville (UAH) in 2001.

Joseph’s main research areas include computer architecture, multithreaded systems, dataflow concepts, parallel programs, embedded systems, and cloud computing.

For more than 20 years, Joseph has contributed to Computing Reviews. Reviewing for CR has allowed him to broaden his knowledge in different areas. He is currently exploring how generative adversarial networks (GAN) contribute to image processing in artificial intelligence (AI).

	Reviews by Joseph M. Arul

	Declarative machine learning systems Molino P., Molino P., Ré C., RÃ© C. Communications of the ACM 65(1): 42-49, 2021. Type: Article This article presents future directions for how machine learning (ML) can be easily adopted across applications to take advantage of artificial intelligence (AI). In the past two decades, ML has been improving at a tremendous pace thanks to many c...

	Artificial intelligence: a textbook Aggarwal C., Springer International Publishing, New York, NY, 2021. 503 pp. Type: Book (978-3-030723-56-9) Artificial intelligence, by Charu C. Aggarwal, covers the breadth of knowledge in the field of artificial intelligence (AI), from its beginnings to how it took a turn in recent years. The book starts by explaining the two major schools of t...

	Scratchpad-memory management for multi-threaded applications on many-core architectures Venkataramani V., Chan M., Mitra T. ACM Transactions on Embedded Computing Systems 18(1): 1-28, 2019. Type: Article This paper focuses on improving many-core architectures via software programmable or scratchpad memory (SPM):...

	Formation control: approaches for distributed agents Ahn H., Springer International Publishing, New York, NY, 2019. 360 pp. Type: Book (978-3-030151-86-7) The study of autonomous systems such as drones is an “emerging field in network science and engineering.” In the future, these systems need to cooperatively operate without collision, communicating with each other &...

	Integrating serverless architecture: using Azure Functions, Cosmos DB, and SignalR Service Vemula R., Apress, New York, NY, 2019. 456 pp. Type: Book (978-1-484244-88-3) Integrating serverless architecture covers how to build the Twitter bot application from scratch via a step-by-step method, including the basic installation software needed to achieve fundamental serverless computing. As the ter...

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