Special Issue Information Special Issue Call for Paper Other Special Issues on this journal Closed Special Issues
Field Programmable Gate Arrays Applications (VSI-fpga3)

Field Programmable Gate Arrays Applications (VSI-fpga3)

Journal
Impact Score 5.94

OFFICIAL WEBSITE

Special Issue Information

Submission Deadline: 27-06-2021
Journal Impact Score: 5.94
Journal Name: Computers & Electrical Engineering
Publisher: Computers & Electrical Engineering

Special Issue Call for Papers


Field Programmable Gate Arrays (FPGA) have attracted researchers' attention for several years since they play an important role in the development of efficient hardware realizations for computing- intensive algorithms. There is a significant number of available FPGA technologies from different vendors that provide distinct prefabricated silicon-based platforms to fulfil the needs of the design methodology and optimization techniques for implementing almost any kind of digital circuit or system for many applications. The everyday more demanding speed performance in a wide range of fields, as well as the breakthrough in FPGA architectures and programming tools, allow researchers to develop fast-processing engines in numerous industrial and scientific applications, such as improving dynamic performance of robots, reconfiguring control of a power converters, system co-designing for resources optimization, predicting agriculture productivity, implementing secure authentication systems, monitoring physical training, observe thyroid tumor risk, developing tourism resources; even, shaping potential human psychology, among many others. In all these applications, FPGA utilization focuses on implementing computing-intensive algorithms, optimizing resources utilization, processing speed, and power consumption. They prove the importance of FPGA devices for digital signal and image processing in technological and scientific development. The remarkable number of new emerging methods, and the increasing computational power of FPGA with everyday more embedded resources, put forward an area of opportunity for developing more efficient and powerful processing methods in a wide variety of scientific applications.



This special section follows two previous ones published in January 2016 and October 2016. Researchers are invited to submit outstanding and original unpublished research manuscripts focused on the utilization of FPGA devices for improving and optimizing the implementation of computing intensive algorithms in different applications.



Topics:



The topics of interest are aimed to show continuing efforts in the development of high processing engines based on FPGA for developing efficient hardware implementations of computing-intensive algorithms. The topics of interest include the following:













 



 



Authors Guidelines



Research articles must not have been published or submitted for publication elsewhere. All articles will be peer reviewed and accepted based on quality, originality, novelty, and relevance to the special issue theme. Before submission authors should carefully read over the journal's Author Guidelines, which is available at:



https://www.elsevier.com/journals/computers-and-electrical-engineering/0045-7906/guide-for-authors



Manuscripts must be submitted online at:



https://www.editorialmanager.com/compeleceng/default.aspx



by selecting the Article Type “VSI-fpga3” from the “Issues” pull-down menu during the submission process.



 



Schedule:



Submission of manuscript: June 27th, 2021



First notification: August 29th, 2021



Submission of revised manuscript: September 28th, 2021



Notification of the re-review: October 31st, 2021



Final notification: November 29th, 2021



Final paper due: December 13th, 2021



Publication date: March 2022



 



Guest Editors



Eduardo CABAL-YEPEZ, PhD (Managing Guest Editor)



Full-Time Professor at the Multidisciplinary Studies Department



Engineering Division, Campus Irapuato-Salamanca, University of Guanajuato.



Yuriria, Guanajuato, Mexico



+52 4454589040 Ext. 1729.



Email: [email protected]



He received his M.Eng. degree from Facultad de Ingenieria Mecanica Electrica y Electronica (FIMEE), Universidad de Guanajuato, Mexico, in 2001, and his Ph.D. degree from University of Sussex, United Kingdom, in 2007. In April 2008, he joined the Division de Ingenierias del Campus Irapuato-Salamanca de la Universidad de Guanajuato, where he is a Titular Professor and serves as the Dean of the Departamento de Estudios Multidisciplinarios. His current research interests are Digital Image and Signal Processing, Artificial Intelligence, Robotics, Smart Sensors, Real-Time Processing, Mechatronics, FPGAs, and Embedded Systems. He is a National Researcher with the Consejo Nacional de Ciencia y Tecnologia, Mexico.



 



Valentina BIANCHI, PhD



Research Assistant at the Department of Engineering and Architecture,



University of Parma,



Parco Area delle Scienze, 180/A, 43124, Parma, Italy.



+39 0521906284



Email: [email protected]



Valentina Bianchi received the B.Sc. and M.Sc. degrees (summa cum laude) in Electronic Engineering and the Ph.D. degree from the Department of Information Engineering, University of Parma, Parma, Italy, in 2003, 2006, and 2010, respectively. From 2012 to 2017, she was a Technical Assistant with the University of Parma at the Department of Engineering and Architecture, where she is currently a Research Assistant. She participated in several national and international projects. She has authored or co-authored over 40 papers in international journals or proceedings of conferences. Her current research interests include wireless sensor networks, digital system design, FPGAs and hardware implementation of machine learning algorithms and arithmetic circuits.



 



Jeong-Gun LEE, PhD



Full-Time Professor at the School of Software and the Department of Computer Engineering,



Hallym University,



1 Hallymdaehakgil, Chuncheon, Gangwon, South Korea.



+82 1038406765



Email: [email protected]



Jeong-Gun Lee received his B.S. degree (summa cum laude) in Computer Science from Hallym University in 1996, and M.E. and Ph.D. degree from Gwangju Institute of Science and Technology (GIST), Korea, in 1998 and 2005, respectively. Currently, he is a Full Professor in the School of Software and the Department of Computer Engineering at Hallym University. Prior to joining the faculty of Hallym University in 2008, he was a visiting postdoctoral researcher with the Computer Lab. at the University of Cambridge and a research professor with GIST, respectively. In 2014, he was a visiting scholar of the Computer Lab. at the University of Cambridge. His research interests focus on low EMI asynchronous circuit designs, FPGA based reconfigurable system designs, energy efficient heterogeneous computing, and GPU based parallel computing, hardware-efficient deep learning circuit architecture.



 



CARLOS RODRIGUEZ-DONATE, PhD



Full-Time Professor at the Department of Multidisciplinary Studies



Engineering Division, Campus Irapuato-Salamanca, University of Guanajuato.



Yuriria, Guanajuato, Mexico



+52 4454589040 Ext. 1736



Email: [email protected]



He received the B.E. degree from the Technological Institute of Celaya, Guanajuato, Mexico, in 2007, the M.E. degree from the University of Guanajuato, Guanajuato, in 2008, and the Ph.D. degree from the Autonomous University of Queretaro, Queretaro, Mexico, in 2012. He was a posdoctoral research fellow with the Complutense University of Madrid, Madrid, Spain, from 2013 to 2014. He is currently a National Researcher with the Consejo Nacional de Ciencia y Tecnologia, Mexico. In 2014, he joined the Division de Ingenierias del Campus Irapuato–Salamanca, University of Guanajuato, where he is an Associate Professor. His current research interests include digital signal processing, FPGAs, vision algorithms, embedded systems for real-time application and OpenCL for FPGA.

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