Advances in Computers
- 1st Edition, Volume 116 - January 16, 2020
- Latest edition
- Editors: Suyel Namasudra, Veljko Milutinovic
- Language: English
- Hardback ISBN:9 7 8 - 0 - 1 2 - 8 2 0 1 9 6 - 1
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 0 1 9 7 - 8
Advances in Computers, Volume 116, presents innovations in computer hardware, software, theory, design, and applications, with this updated volume including new chapters on Teachi… Read more
Advances in Computers, Volume 116, presents innovations in computer hardware, software, theory, design, and applications, with this updated volume including new chapters on Teaching Graduate Students How to Review Research Articles and How to Respond to Reviewer Comments, ALGATOR - An Automatic Algorithm Evaluation System, Graph Grammar Induction, Asymmetric Windows in Digital Signal Processing, Intelligent Agents in Games: Review With an Open-Source Tool, Using Clickstream Data to Enhance Reverse Engineering of Web Applications, and more.
- Contains novel subject matter that is relevant to computer science
- Includes the expertise of contributing authors
- Presents an easy to comprehend writing style
Researchers in high performance computer areas, hardware manufacturers, educational programs in physics and scientific computation and in computer science
1. Teaching graduate students how to review research articles and respond to reviewer comments
Milan Bankovic, Vladimir Filipovic, Jelena Graovac, Jelena Hadzi-Puric, Ali Hurson, Aleksandar Kartelj, Jovana Kovacevic, Nenad Korolija, Milos Kotlar, Nenad B. Krdzavac, Filip Maric, Sasa Malkov, Veljko Milutinovic, Nenad Mitic, Stefan Miskovic, Mladen Nikolic, Gordana Pavlovic-Lazetic, Danijela Simic, Sana Stojanovic Djurdjevic, Staša Vujicic Stankovic, Milena Vujošević Janičić and Miodrag Zivkovic
2. ALGator - An automatic algorithm evaluation system
Tomaz Dobravec
3. Graph grammar induction
Luka Fürst, Marjan Mernik and Viljan Mahnic
4. Asymmetric windows in digital signal processing
Robert Rozman
5. Intelligent agents in games: Review with an open-source tool
Matej Vitek and Peter Peer
6. Using clickstream data to enhance reverse engineering of web applications
Marko Pozenel and Bostjan Slivnik
- Edition: 1
- Latest edition
- Volume: 116
- Published: January 16, 2020
- Language: English
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Suyel Namasudra
Suyel Namasudra has received Ph.D. degree from the National Institute of Technology Silchar, Assam, India. He was a post-doctorate fellow at the International University of La Rioja (UNIR), Spain. Currently, Dr. Namasudra is working as an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Agartala, Tripura, India. Before joining the National Institute of Technology Agartala, Dr. Namasudra was an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Patna, Bihar, India. His research interests include blockchain technology, cloud computing, DNA computing, and information security. Dr. Namasudra has edited 7 books, 5 patents, and 85 publications in conference proceedings, book chapters, and refereed journals like IEEE TII, IEEE TCE, IEEE T-ITS, IEEE TSC, IEEE TCSS, IEEE TCBB, ACM TOMM, ACM TOSN, ACM TALLIP, FGCS, CAEE, and many more. He is the Editor-in-Chief of the Cloud Computing and Data Science (ISSN: 2737-4092 (online)) journal. Dr. Namasudra has served as a Lead Guest Editor/Guest Editor in many reputed journals like IEEE TCE (IEEE, IF: 4.3), IEEE TBD (IEEE, IF: 7.2), ACM TOMM (ACM, IF: 3.144), MONET (Springer, IF: 3.426), CAEE (Elsevier, IF: 3.818), CAIS (Springer, IF: 4.927), CMC (Tech Science Press, IF: 3.772), Sensors (MDPI, IF: 3.576), and many more. He has also participated in many international conferences as an organizer and session chair. Dr. Namasudra is a senior member of IEEE, and a member of ACM and IEI. He has been featured in the list of the top 2% scientists in the world in 2021, 2022, and 2023. His h-index is 37.
Affiliations and expertise
Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, IndiaVM
Veljko Milutinovic
Prof. Veljko Milutinovic received his PhD from the University of Belgrade, spent about a decade on various faculty positions in the USA (mostly at Purdue University), and was a co-designer of the DARPA's first GaAs RISC microprocessor. Later he taught and conducted research at the University of Belgrade, Serbia, in ECE and MATH. Now he serves as the Senior Advisor to Maxeler Technologies in London, UK. His research is mostly in datamining and dataflow computing, with the emphasis on mappings of algorithms onto architectures. His co-authored paper on matrix multiplication for dataflow received "The IET Premium Award for 2014" (meaning the single best paper in IET Computing for 2012 and 2013). He is a Fellow of the IEEE and a Member of Academia Europaea. He has over 40 IEEE journal papers, over 40 other SCI journal papers, over 400 Thomson-Reuters citations, and about 4000 Google Scholar citations.
Affiliations and expertise
University of Belgrade, Serbia; Member of Academia EuropaeaRead Advances in Computers on ScienceDirect