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| Maulik A. Dave completed his PhD in Computer Science at the Indian Institute of Science. Earlier, he completed his BE in Civil Engineering at M.S. University of Baroda. His PhD thesis received an award from the Institute. For the thesis, he designed a new programming language and implemented a compiler for it. At the Indian Institute of Science, he was chairman of the students’ council for a year, and was actively involved in student activities. He has also completed the Madhyama purna exam of Gandharva Mahavidyalay for Indian classical music. After finishing his education, he decided to join industry. In earlier years, he worked at companies such as Sun and IBM, as well as research startups. He established his own company later on. For the last nine years, he has worked as a developer in industry where he has applied his knowledge of programming and systems to develop and maintain various software systems. As part of the commercial world, he has obtained certificates for Java, MySQL, and software development. He has worked with technologies involving systems computing, enterprise computing, and applications. During his education, his research areas of interests were compilers, programming languages, and parallel processing. Later on, his interests also included simulation and software development. His interests further grew when he started reviewing research papers and books. He has reviewed in almost all areas of computer science, as well as in management, engineering, and mathematics. He has written 87 reviews in Computing Reviews. His most active year was 2012, when he wrote more than 25 reviews. He has also written reviews for the ACM SIGACT newsletter, IEEE Computer Society, and Mathematical Reviews. His research-based publications have appeared in the Journal of Indian Institute of Science and the Proceedings of the International Conference on High-Performance Computing. He has volunteered as the director of professional activities at IEEE Atlanta. |
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Computational intelligence techniquess for combating Covid-19 Kautish S., Peng S., Obaid A., Springer International Publishing, Cham, Switzerland, 2021. 593 pp. Type: Book (978-3-030689-35-3) This book looks at the application of computing techniques, especially intelligence techniques. Machine learning (ML) techniques have been developed for many decades now and the practical applications of ML have significantly increased over time. ...
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Jan 16 2023 |
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Embracing modern C++ safely Lakos J., Romeo V., Khlebnikov R., Meredith A., Addison-Wesley Professional, Boston, MA, 2021. 1376 pp. Type: Book (978-0-137380-35-0) Embracing modern C++ safely is for professionals involved in large-scale projects using the C++ programming language. It describes various safe, conditionally safe, and unsafe features in C++11 and C++14. Each feature covered includes descr...
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Oct 3 2022 |
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Securing 5G and evolving architectures Nair P., Addison-Wesley Professional, Boston, MA, 2021. 624 pp. Type: Book (978-0-137457-93-9)
Security is an important aspect of architectures. Security analysis at the architecture level is very useful. Fifth-generation (5G) wireless networks have been in use for a few years now. Securing 5G network architecture has many chall...
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Jun 9 2022 |
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Discovering Modern C++ Gottschling P., Addison-Wesley Professional, Boston, MA, 2021. 576 pp. Type: Book (978-0-136677-64-2)
This textbook is on C++, a general-purpose programming language. It describes various language constructs and modern versions of the language and includes many examples in the form of code listings. It gives tips for writing efficient ...
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Mar 11 2022 |
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Interpolatory methods for model reduction Antoulas A., Beattie C., Güğercin S., SIAM, Philadelphia, PA, 2020. 232 pp. Type: Book (978-1-611976-07-6)
Interpolation methods are automatic techniques for reducing the size and other complexities of large complicated models. Modeling physical systems using differential equations and geometrical properties has been popular among scientist...
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Oct 26 2021 |
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Foundations of probabilistic programming Barthe G., Katoen J., Silva A., Cambridge University Press, Cambridge, UK, 2021. 582 pp. Type: Book (978-1-108488-51-8)
This book covers various programming languages for probabilistic programming. The languages are described using syntax, semantics, and examples. It also looks at the theories related to the semantics of probability constructs and discu...
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Oct 18 2021 |
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Retrospectives antipatterns Corry A., Addison-Wesley, Boston, MA, 2021. 234 pp. Type: Book (978-0-136823-36-0)
The book is a collection of antipatterns that can emerge while conducting retrospectives in agile environments. The antipatterns discussed are from the author’s experiences. The collection includes structural, planning, and p...
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Sep 13 2021 |
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Essential C# 8.0 (7th ed.) Michaelis M., Addison-Wesley, Boston, MA, 2020. 1043 pp. Type: Book (978-1-359722-64-5)
This book describes the C#, a general-purpose programming language used in the commercial world. The book has a very detailed explanation of various language constructs. The constructs are explained with code listings and their backgro...
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Mar 11 2021 |
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Visual and text sentiment analysis through hierarchical deep learning networks Chaudhuri A., Springer International Publishing, New York, NY, 2019. 120 pp. Type: Book
This book is on the extraction of sentiments from text/image data using machine learning. It describes research related to developing a deep learning technique for the extraction. The technique uses hierarchical gated feedback recurren...
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Jan 25 2021 |
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Variational Bayesian learning theory Nakajima S., Watanabe K., Sugiyama M., Cambridge University Press, New York, NY, 2019. 558 pp. Type: Book (978-1-107076-15-0)
In machine learning, variational Bayesian (VB) learning is one of the most popular methods, according to the back cover of the book. The VB learning framework poses and solves optimization problems. The book explains the optimization o...
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Sep 10 2020 |
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