Search

Browse Subject Areas

For Authors

Submit a Proposal

Series: Advances in Intelligent and Scientific Computing (AISC)

Series Editor: Dr.Sujata Dash, Dr.Subhendu Kumar Pani and Dr. Milan Tuba

Scope: The series “Advances in Intelligent and Scientific Computing (AISC)” details in-depth coverage of innovations in artificial life, computational intelligence, evolutionary computing, machine learning and applications. The list of topics includes all areas of modern intelligent systems and scientific computing such as: computational neuroscience, social intelligence, ambient intelligence, artificial life, virtual worlds and society, cognitive science and systems, computational intelligence, human-centered and human-centric computing, intelligent decision making and support, intelligent network security. With the current innovative era of simulated and artificial intelligence, a huge amount of research is required in order to maintain the advances as well as to estimate the societal and ethical concerns of the existence machine learning and scientific computing. We also intend our books in the series to be practically relevant, so that the results will be useful for managers in leadership roles related to data analysts, projects, programs, and portfolios. Therefore, both theoretical and managerial implications of the research will be considered.

About the Series Editor:
Sujata Dash received her PhD degree in Computational Modeling from Berhampur University, Orissa, India in 1995. She is an associate professor in P.G. Department of Computer Science & Application, North Orissa University, at Baripada, India. She has published more than 150 technical papers in international journals, conferences, and book chapters of reputed publications. She has guided many scholars for their PhD degrees in computer science. She is associated with many professional bodies like IEEE, CSI, ISTE, OITS, OMS, IACSIT, IMS and IAENG. She is in the editorial board of several international journals and also reviewer of many international journals. Her current research interests include Machine Learning, Distributed Data Mining, Bioinformatics, Intelligent Agent, Web Data Mining, Recommender System, and Image Processing.
Contact information: sujata238dash@gmail.com

Subhendu Kumar Pani received his PhD from Utkal University Odisha, India. He is working as Principal at Krupajal Computer Academy (KCA) Bhubaneswar. He has more than 17 years of teaching and research experience His research interests include data mining, big data analysis, web data analytics, fuzzy decision making and computational intelligence. He is the recipient of 5 researcher awards. In addition to research, he has guided two PhD students and 31 M. Tech students. He has published more than 70 international journal papers (25 Scopus indexed), authored 5 books and many book chapters. His professional activities include roles as associate editor, editorial board member and/or reviewer of various international journals. He is associated with several of conference societies. He is a fellow in SSARSC and life member in IE, ISTE, ISCA,OBA.OMS, SMIACSIT, SMUACEE, CSI. He also regularly serves as a program committee member for numerous national and international conferences.
Contact information: skpani.india@gmail.com and Pani.subhendu@gmail.com

Milan Tuba is Professor of Computer Science and Vice Rector for Int. Rel. Singidunum University, Belgrade, Serbia and Head of the Dept. for Math. Sciences, University of Novi Pazar. He received BS and MS in Mathematics, MS in Computer Science, MPh in Computer Science, and PhD in Computer Science from University of Belgrade and New York University. From 1983 to 1994 he was in the U.S.A., first as a graduate student and teaching and research assistant at Vanderbilt University in Nashville and Courant Institute of Mathematical Sciences, New York University, and later as assistant Ppofessor of Electrical Engineering at Cooper Union Graduate School of Engineering, New York. During that time he was the founder and director of Microprocessor Lab and VLSI Lab, leader of scientific projects and supervisor of many theses. From 1994 he was assistant professor of Computer Science and Director of Computer Center at University of Belgrade, and from 2001 associate professor, Faculty of Mathematics, and from 2004, as well as a Professor of Computer Science and Dean of the College of Computer Science, Megatrend University Belgrade. He has taught more than 20 graduate and undergraduate courses, from VLSI Design and Computer Architecture to Computer Networks, Operating Systems, Image Processing, Calculus and Queuing Theory. His research interests includes mathematical, queuing theory and heuristic optimizations applied to computer networks, image processing and combinatorial problems. He is the author or coauthor of more than 150 scientific papers and coeditor or member of the editorial board or scientific committee of number of scientific journals and conferences. Member of the ACM since 1983, IEEE 1984, New York Academy of Sciences 1987, AMS 1995, WSEAS, SIAM, IFNA.
Contact information: tuba@ieee.org


Submission to the series:
Please submit book proposals to Dr. Subhendu Kumar Pani at skpani.india@gmail.com or Pani.subhendu@gmail.com

Published and Forthcoming Titles


 
Machine Intelligence, Big Data Analytics, and IoT in Image Processing
Practical Applications
Edited by Ashok Kumar, Megha Bhushan, José A. Galindo, Lalit Garg and Yu-Chen Hu
Copyright: 2023   |   Status: Published   |   Hardcover
 
Discusses both theoretical and practical aspects of how to harness advanced technologies to develop practical applications such as drone-based surveillance, smart transportation, healthcare, farming solutions, and robotics used in automation.


 
Data Science with Semantic Technologies
Theory, Practice and Application

Edited by Archana Patel, Narayan C. Debnath, Bharat Bhushan
Copyright: 2022   |   Status: Published   |   Hardcover
 
This book will serve as an important guide toward applications of data science with
semantic technologies for the upcoming generation and thus becomes a unique
resource for scholars, researchers, professionals, and practitioners in this field.