Important Submission Information
- Deadline for submissions: CLOSED
- First decision (accept/reject/revise, tentative): 31 December 2019
- Submission of revised papers: 15 March 2020
- Notification of final decision (tentative): 31 May 2020
- Publication (tentative): Second half of 2020
Daniele D’Agostino, CNR-IMATI Department, Genova, Italy
Francesco Leporati, University of Pavia, Italy
Antonio Plaza, Escuela Politécnica de Cáceres, University of Extremadura (IEEE Fellow)
Massimo Torquati, University of Pisa, Italy
Corresponding TETC Editor: Jingling Xue, University of New South Wales, Sydney, Australia
Abstract: Focusing on emerging new computing trends affecting life
Authors are invited to submit a manuscript to the special section on New Trends in Parallel and Distributed Computing for Human Sensible Applications. The main focus is on emerging new computing trends that affect concrete human life.
Parallel, distributed, and network-based processing has undergone impressive changes over recent years. New architectures, advanced programming models, improved efficiency, and novel application domains have rapidly become the central focus of this discipline. These changes are often a result of cross-fertilization of parallel and distributed computational paradigms with other rapidly evolving technologies in different disciplines. It is of paramount importance to review and assess these new developments in relation to the recent research achievements in the different areas of parallel and distributed computing, considering both the industrial and scientific points of view. Often these technologies can affect our daily life and several are the applications into which parallel computers find full usage: the increasing wide usage of biomedical image processing, often in real time and with the application of complex machine- and deep-learning algorithms, is only one of the most evident examples of this. Even continuous monitoring of environmental situations with the full integration of cloud architectures is being considered more and more. Fields into which these approaches find application include commercial/financial predictions, meteor forecasts, computational physics/fluid dynamics, and healthcare, wellness, and personal monitoring. Safety is crucial and not secondary in all these applications.
This special section aims at collecting high-quality scientific contributions from the research community working in the fields of parallel and distributed computing, data analytics algorithms, big data frameworks, and application-specific processing. In particular the main focus is on emerging new computing trends that affect concrete human life, the so-called “Human Sensible Applications.” Problems in parallel computing related to implementing precision medicine and novel therapeutical targets, real-time architectures for biomedical IoT, computational biology and chemical compound simulations, realistic modeling of human body organs, and bioimaging processing are welcome.
The special issue will be open to any author, but will also invite extended versions of a few selected papers from the Euromicro Conference on Parallel, Distributed, and Network Based Processing (PDP 2019) held in Pavia, Italy, in February 2019 whose topics fit in the scope of this special issue. All submitted papers will be peer reviewed by at least three reviewers and selected on the basis of both their quality and their relevance to the theme of this special issue.
All research papers should be completely within the special section’s main focus and should present original research in emerging computing trends/areas. Authors should be aware that generic papers or research in non-emerging computing areas/trends are unsuitable to this special section and will be administratively rejected. Furthermore, this special section is not intended to overlap with well-assessed domains such as smart cities, vehicular technologies, and so on. We therefore solicit papers covering various topics of interests that include, but are not limited to, the following:
- Emerging computing solutions for precision medicine and novel therapeutical targets
- Emerging real-time multi-/many-core IoT computing architectures/systems for health, wellness, and personal monitoring
- Emerging computational biology computing architectures and realistic modeling of human body organs, bioimaging, and processing
- Advances in emerging high-performance computing for bioinformatics and biomedicine, neuroscience, and systems biology
- Emerging real-time analytics architectures and systems in healthcare
- Emerging computing systems for human sustainability, including weather and climate changes monitoring/prediction, resources management, and disaster prediction and prevention
Submitted papers must include new significant research-based technical contributions in the scope of the journal. Purely theoretical, technological, or lacking methodological-and-generality papers are not suitable to this special issue. The submissions must include clear evaluations of the proposed solutions (based on simulation and/or implementation results) and comparisons to state-of-the-art solutions. For additional information, please contact the Guest Editors at email@example.com. Papers under review elsewhere are not acceptable for submission. Extended versions of published conference papers (to be included as part of the submission together with a summary of differences) are welcome but must have at least 40% new impacting technical/scientific material in the submitted journal version and there should be less than 50% verbatim similarity as reported by a tool (such as CrossRef).
Guidelines concerning the submission process and LaTeX and Word templates can be found at https://www.computer.org/csdl/journal/ec/write-for-us/15071. While submitting through ScholarOne at https://mc.manuscriptcentral.com/tetc-cs please select the option “Special Section on New Trends in Parallel and Distributed Computing for Human Sensible Applications.” As per TETC policies, only full-length papers (10-16 pages with technical material, double column–papers beyond 12 pages will be subject to MOPC, as per CS policies) can be submitted to special sections. The bibliography should not exceed 45 items and each author’s bio should not exceed 150 words.
Guest Editor Bios
Daniele D’Agostino, PhD, is a researcher at the Institute of Applied Mathematics and Information Technologies of National Research Council. His research activities concern the design of science gateways in different research fields and resource allocation in grid/cloud for multidisciplinary applications. He is a PC member of several European conferences on high-performance and distributed computing; co-organized the 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing; has been guest editor of several special issues on ISI journals; and co-authored more than 100 scientific papers, published in journals, book chapters, and conference proceedings.
Francesco Leporati achieved a Master’s degree in electronics engineering from the Computer Science Department of the University of Pavia in 1988 and a PhD in electronic and computer engineering from the Computer Science Deptartment of the University of Pavia in 1993. At present he is associate professor at the Electrical, Biomedical, and Computer Department of the University of Pavia, where he teaches the courses of mechatronics, industrial informatics, and embedded systems and digital systems design. His research activity concerns the design and the implementation of architectures for high-performance computing, in particular exploiting FPGA technology applied to parallel computing and special purpose computers, signal and image processing, automotive applications, and biomedical instrumentation. Leporati has collaborated with different companies (Neuricam Inc., Ferrari Inc., Marelli Motorsport, ST Microelectronics) and public research institutions. He is a reviewer of several ACM and IEEE journals and collaborates with the Elsevier Microprocessors and Microsystems Editorial Board, where he serves as Handling Editor in the subject area of FPGA-based systems and applications. He is the author of more than 80 publications in journals, international conference proceedings, book chapters, and special issues and invited talks. His research has been awarded by Altera (Intel), Altran Engineering, and Texas Instruments. Leporati was Chair of the XI and XXVII IEEE/Euromicro Conference on Parallel and Distributed Processing (Mantova, Feb. 2001 and Pavia Feb. 2019), of the IEEE/Euromicro on Software Engineering and Advanced Applications and on Digital System Design (SEEA/DSD) held in Parma in September 2008, and Program Chair of the IEEE/Euromicro Conference on Digital Systems Design held in August 2014. He is a member of the Euromicro Society (Director of Italian correspondents and Deputy Chairman) and is co-chair of the microcomputer laboratory that received the GPU research center acknowledgment from NVIDIA.
Antonio Plaza is the Head of the Hyperspectral Computing Laboratory at the Department of Technology of Computers and Communications, University of Extremadura, where he received the M.Sc. degree in 1999 and the PhD degree in 2002, both in computer engineering. His main research interests comprise hyperspectral data processing and parallel computing of remote sensing data. He has authored more than 600 publications, including 251 JCR journal papers (184 in IEEE journals), 24 book chapters, and over 300 peer-reviewed conference proceeding papers. He has guest edited 10 special issues on hyperspectral remote sensing for different journals. Plaza is a Fellow of IEEE “for contributions to hyperspectral data processing and parallel computing of Earth observation data.” He is a recipient of the recognition of Best Reviewers of IEEE Geoscience and Remote Sensing Letters (2009) and a recipient of the recognition of Best Reviewers of IEEE Transactions on Geoscience and Remote Sensing (2010), for which he served as Associate Editor from 2007-2012. He is also an Associate Editor for IEEE Access and was a member of the Editorial Board of the IEEE Geoscience and Remote Sensing Newsletter (2011-2012) and IEEE Geoscience and Remote Sensing Magazine (2013). He was also a member of the steering committee of IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS). He is a recipient of the Best Column Award of IEEE Signal Processing Magazine in 2015, the 2013 Best Paper Award of JSTARS, and the most highly cited paper (2005-2010) in the Journal of Parallel and Distributed Computing. He received best paper awards at the IEEE International Conference on Space Technology and the IEEE Symposium on Signal Processing and Information Technology. He served as the Director of Education Activities for the IEEE Geoscience and Remote Sensing Society (GRSS) from 2011-2012, and as President of the Spanish Chapter of IEEE GRSS from 2012-2016. He has reviewed more than 500 manuscripts for over 50 different journals. He served as the editor in chief of IEEE Transactions on Geoscience and Remote Sensing journal for five years (2013-2017). He is included in 2018 Highly Cited Researchers List (Clarivate Analytics). For additional information, see http://www.umbc.edu/rssipl/people/aplaza.
Massimo Torquati is an Assistant Professor in the Computer Science Department at the University of Pisa. Before joining academia, he worked in industry for major Italian companies, having the opportunity to participate in large-scale international projects. He has published more than 60 peer-reviewed papers in conference proceedings and international journals, mostly in the fields of parallel programming models, parallel and distributed programming, and run-time systems for parallel and distributed systems. He has been recently involved in a number of Italian, EU, and industry-supported research projects, including the Artemis SMECY, EU FP7 ParaPhrase, EU FP7 REPARA, and EU H2020 RePhrase. He organized and served as chairman of the HLPP 2015 Symposium (Pisa, Italy), ScalCom 2016 Conference (Toulouse, France), ScalCom 2017 (San Francisco, USA), and is co-organizing the first Auto-DaSP international workshop (Santiago De Compostela, Spain). He was editor of the Springer book Smart Multicore Embedded Systems (ISBN 978-1-4614-8799-9), Guest Editor of the special issue on “High-Level Parallel Programming and Applications” in the International Journal of Parallel Programming (Volume 45, Issue 2) and is currently involved as Guest Editor in the special issue on “Programming Models and Algorithms for data analysis in HPC systems” in the International Journal of Parallel Programming.