Handbook of Research on Computational Intelligence for Engineering, Science and Business


Proposal Submission Deadline: August 30, 2011

A book edited by

Dr. Siddhartha Bhattacharyya

University Institute of Technology, The University of Burdwan, Burdwan, India


Prof. (Dr.) Paramartha Dutta

Visva-Bharati University, Santiniketan, India


To be published by IGI Global: http://www.igi-global.com/authorseditors/authoreditorresources/callforbookchapters/callforchapterdetails.aspx?callforcontentid=255eb7ea-51a4-430a-bac0-db8d1d97ab34




Imparting intelligence has become the focus of various computational paradigms. Thanks to evolving soft computing and artificial intelligent methodologies, scientists have been able to explain and understand real life processes and practices which formerly remained unexplored by dint of their underlying imprecision, uncertainties and redundancies, as well as the unavailability of appropriate methods for describing the inexactness, incompleteness and vagueness of information representation. Computational intelligence tries to explore and unearth intelligence embedded in the system under consideration.


Although computational intelligence stemmed from needs in image processing and pattern recognition, lately scientists and researchers working on engineering, science, business and financial applications have turned to computational intelligence for better research throughputs and end results. In fact, it is very difficult, if not impossible, to identify a current computation-intensive application that is devoid of the influence of “Intelligence” approaches. No longer limited to computing-related disciplines, computational intelligence models may be applied to any endeavor which handles complex and meaningful information.


Objective of the Book

This book will aim to discuss computational intelligence approaches, initiatives and applications in engineering, science and business fields (including  Mechanical Engineering, Power Control and Optimization, Total Quality Management, Machine Intelligence, Nanoscience and Nanoengineering, Mining Engineering, Modeling and Simulation, Signal Processing, Civil Engineering, Computer, Communication, Networking and Information Engineering, Optical Engineering, Bioinformatics and Biomedical Engineering, Ecology and Environmental Engineering, Engineering Management and Service Sciences, Systems Engineering, Innovative Computing Systems, Adaptive Technologies for Sustainable Growth, and Theoretical and Applied Sciences). This collection should inspire various scholars to contribute research on intelligence principles and approaches in their respective research communities, while enriching the body of research on computational intelligence.


Target Audience

The proposed book would benefit advanced students and researchers. The collection of papers in the book may serve to inspire future researchers, and PhD students may find the contents of this book useful in their coursework.


In particular, researchers interested in interdisciplinary research would benefit from the book. After all, the enriched interdisciplinary contents of the book would always be a subject of interest to faculty, research communities, and researchers from diverse disciplines who aspire to create new and innovative research initiatives. Hopefully, the book will bring together researchers of different research backgrounds and inspire new research groups.



Recommended topics include, but are not limited to, the following:

Computational Intelligence

foundations and principles;

neural networks;

fuzzy systems;

evolutionary computation;

rough sets

Applications of Computational Intelligence in:

o   Mechanical Engineering – Production planning; scheduling and coordination; expert system design; cooperative control; dynamic system analysis; renewable energy systems; robotics and robotic vision engineering problems; process automation

o   Power Control and Optimization – Power control; future energy planning and environment; industrial Informatics and planning; scheduling and assignment problems; optimization

o   Total Quality Management – TQM intelligent methods; business excellence models; intelligent and virtual CMM

o   Machine Intelligence – Data processing, analysis and applications; intelligent systems; emerging computing paradigms

o   Nanoscience and Nanoengineering – Artificial intelligence and soft computing techniques; parallel and distributed computing; grid computing and pervasive computing; adaptive reconfigurable architectures

o   Mining Engineering – Mine planning and modeling; mine safety methods using intelligent VR and HCI techniques

o   Modeling and Simulation – Modeling paradigms; simulation techniques; high performance computing

o   Signal Processing – Algorithms, architectures and applications; multidimensional signal processing; radar signal and data processing; adaptive QoS provisioning; VLSI for network processing; embedded reconfigurable architectures; evolvable systems; spread spectrum and CDMA systems; antennas and propagation; mobile ad hoc networking; sensor networks

o   Civil Engineering – Modeling and optimization of manufacturing systems and processes; computational fluid dynamics; flood forecasting; analysis of processing of GIS, GPS, remote sensing data; automated inspection

o   Computer, Communication, Networking and Information Engineering – Intelligent network management; antenna design, information security; cross-layer optimized wireless networks; pervasive/ ubiquitous computing MEMS systems characterization; Intelligent compiler and interpreter design; expert systems; pattern recognition; image processing

o   Optical Engineering – Optical computing; optical image processing; optical testing; optical communication systems and networks; intelligent photonics

o   Bioinformatics and Biomedical Engineering – Bio-molecular and phylogenetic databases; Biomedical engineering; biomedical robotics and mechanics; bio-signal processing and analysis; biometrics and bio-measurements

o   Ecology and Environmental Engineering – Green energy engineering; environmental pollution and remediation; environmental sustainability and restoration; hazardous substances and detection techniques; air pollution and control; solid waste management

o   Engineering Management and Service Sciences – Engineering management; portfolio management; emergency management system; supply chain management; service sciences; converged network and services; e-commerce and e-governance

o   Systems Engineering – Industrial automation and robotics; intelligent photonics and lighting systems; computer assisted medical diagnostic systems; unmanned aerospace systems; intelligent control systems; intelligent approaches in system identification/modeling

o   Innovative Computing Systems – Intelligent manufacturing systems; quantum inspired soft computing methodologies for signal, image and information processing; medical innovative technologies

o   Adaptive Technologies for Sustainable Growth – Soft computing based power systems; bio-medical engineering systems; trends and development in nano technology; wireless sensors and networks

o   Theoretical and Applied Sciences – Optimization and analysis of mathematical functions; statistical time series analysis; characterization of chaos theory; theory of fractals and applications to uncertainty management; applications of computational intelligence to atmospheric sciences


Submission Procedure

Researchers and practitioners are invited to submit on or before August 30, 2011, a 2-3 page chapter proposal clearly explaining the mission and concerns of his or her proposed chapter. Authors of accepted proposals will be notified by September 15, 2011 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by December 30, 2011. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.



 This book is scheduled to be published in 2013 by IGI Global (formerly Idea Group Inc.), publisher of the “Information Science Reference” (formerly Idea Group Reference), “Medical Information Science Reference,” “Business Science Reference,” and “Engineering Science Reference” imprints. For additional information regarding the publisher, please visit www.igi-global.com.


Important Dates:

August 30, 2011:               Proposal Submission Deadline

September 15, 2011:       Notification of Acceptance of proposals

December 30, 2011:       Full Chapter Submission

March 15, 2012: Review Result Returned

April 15, 2012:                    Revised Chapter Submission

April 30, 2012:                   Final Acceptance Notification

May 15, 2012:                     Final Chapter Submission

June 30, 2012:                   Final deadline


Editorial Advisory Board Members:

Prof. Dwijesh DuttaMajumder, (Retd.) Scientist, Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India

Prof. Asit Kumar Dutta, (Retd.) Professor, Department of Applied Optics and Photonics, University of Calcutta, Kolkata, India

Prof. Nikhil Ranjan Pal, Professor, Electronics and Communication Sciences Unit Indian Statistical Institute, 203 Kolkata, India

Prof. Amit Konar, Professor, Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, India

Prof. Yang Dai, Professor, Department of Bioengineering, University of Illinois at Chicago, Chicago, USA

Prof. Rajkumar Roy, Professor of Competitive Design, Head of Manufacturing Department and Director of the EPSRC Centre for Innovative Manufacturing in through-life Engineering Services Cranfield Campus, USA

Prof. Sanghamitra Bandyopadhyay, Professor, Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India

Prof. Dipti Prasad Mukherjee, Professor, Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India

Dr. Parijat De, Director, Director, Technical Training, Education and Training, Government of West Bengal, India

Prof. Ujjwal Maulik, Professor, Department of Computer Science and Engineering, Jadavpur University, Kolkata, India

Prof. Mita Nasipuri, Professor, Professor, Department of Computer Science and Engineering, Jadavpur University, Kolkata, India

Prof. Shu-Heng Chen, Professor, AI-ECON Research Center, Department of Economics, National Chenhchi University, Taipei, Taiwan

Prof. Paul. P. Wang, Professor, Department of Electrical and Computer Engineering, Duke University, Durham, USA

Prof. Sudhirkumar Barai, Professor, Department of Civil Engineering, Indian Institute of Technology, Kharagpur, West Bengal, India

Prof. Susanta Chakraborty, Professor, Department of Computer Science and Technology, Bengal Engineering and Science University, Shibpur, India

Prof. N. N. Jani, Director, Department of Computer Science, Kadi Sarva Viswavidyalaya (University), Gandhinagar, Gujarat, India

Dr. Debasish Chakraborty,  Assistant Professor, Department of Mining Engineering, Indian Institute of Technology, Kharagpur, West Bengal, India

Dr. Biswanath Roy, Associate Professor, Department of Illumination Engineering, Jadavpur University, Kolkata, India

Prof. Andrew H. Sung, Professor, Department of Computer Science, Institute for Complex Additive Systems Analysis, New Mexico Tech, Socorro, USA


Inquiries and submissions can be forwarded electronically (Word document) or by mail to:

Dr. Siddhartha Bhattacharyya

Department of Computer Science and Information Technology


Tel.: +919830354195• Fax: +342 265 8777

E-mail: dr.siddhartha.bhattacharyya@gmail.com



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