Computing Reviews
Today's Issue Hot Topics Search Browse Recommended My Account Log In
Home Topics Titles Quotes Blog Featured Help
Search
 
Maulik A Dave
Self
Dunwoody, Georgia
 

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.


     

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 people antipatter...

 

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 background concepts...

 

Analytics for managerial work
Khatri V., Samuel B.  Communications of the ACM 62(4): 100-108, 2019. Type: Article

This article describes various surveys for determining the role of analytics in different types of managerial works. It specifically surveys managerial works in finance, human resources, marketing, and operations. The works are divided into planni...

 

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 recurrent neural net...

 

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 of target dis...

 
  more...

 
Send Your Comments
Contact Us
Reproduction in whole or in part without permission is prohibited.   Copyright © 2000-2021 ThinkLoud, Inc.
Terms of Use
| Privacy Policy