Call for Methods and Data Submissions

The IEEE Transactions on Molecular, Biological, and Multi-Scale Communications is actively soliciting submissions for our “Methods and Data” article type. 

“Methods and Data” papers allow authors to submit manuscripts that include experimental protocols, data sets, and data analysis methods. These manuscripts should encourage growth in the use of experimental methods and the use and analysis of established data sets.

All submissions must be based on high-quality research that has already been published or accepted in a peer-reviewed venue, either by the same authors or by another group, and this must be clearly indicated. Thus, a “Methods and Data” submission does not need to verify the underlying research. Instead, a submission should focus on the description of the experimental setup and the value of the provided data set.

For additional details on how to submit a “Methods and Data” paper, please read our Information for Authors. When submitting, please select the “Transactions Methods Submissions” manuscript type on the ScholarOne submission portal.

As a sample submission, please refer to the published “Methods and Data” paper: https://doi.org/10.1109/TMBMC.2019.2957783

For any questions, please contact our “Methods and Data” editors:

Prof. Adam Noel (adam.noel@warwick.ac.uk)
Prof. Werner Haselmayr (werner.haselmayr@jku.at)

Looking forward to your submissions!

Special Issue Call for Papers: Advances in Artificial Intelligence and Mathematical Modelling for Epidemic Diseases and Healthcare Applications

For a PDF of the Call for Papers, please click here.

Call for Papers

As the coronavirus pandemic deepens, there is an urgent need to develop advanced epidemic models that can further improve the efficiency of monitoring, tracking, prevention, control, and treatment. While traditional mathematical modelling methods are considered strong tools to predict the course of COVID-19, healthcare responses are hindered by the lack of standardization, which has prevented universal and coordinated strategies to contain and mitigate the spread of virus. Nonetheless, there are still many challenges, which require researchers in different interdisciplinary areas such as computer science, bioinformatics, epidemiology, and molecular modeling, to work towards cognizing the problem in depth. Artificial intelligence-based models are expected to play a major role in responding to the current and future generations of viruses, which are becoming more complex and much smarter. With the aid of artificial intelligence, there are renewed efforts specifically focusing on machine learning techniques to enhance the computational and data integration capabilities by exploiting many diverse sources of information.

Therefore, the main objective of this special issue is to report on the most recent progress and state-of-the-art investigations on AI-Assisted modeling, including designing, testing, and evaluating, as well as any new standardization initiatives. We specifically seek outstanding work of AI and mathematical modelling that can accurately project the spread of the epidemic, including but not limited to the following topics:

Read more

Special Issue Call for Papers: “Section II: Molecular Communications for Diagnostics and Therapeutic Development of Infectious Diseases”

For a PDF of the Call for Papers, please click here.

Call for Papers

Infectious diseases have affected humans for centuries and continue to pose as one major challenge for healthcare going forward. The recent viral COVID-19 infectious disease has transformed our lives dramatically. Besides a large number of deaths, the virus can also affect the health of the general population. Recent historical events have proven that various types of coronaviruses can have a tremendous impact, and examples of these include the Severe Acute Respiratory Syndrome (SARS) and the Middle East Respiratory Syndrome (MERS), which also showed a high mortality rate. Besides coronaviruses, there are numerous types of infectious diseases that continue to affect people. A number of diseases that have been around for centuries do not currently have cures, one notable example being HIV. The consequence of the spreading of these infectious diseases, which sometimes can evolve into pandemics, can and will affect the global economy. Besides traditional fields such as immunology and virology, novel multi-disciplinary approaches will be required to tackle infectious diseases with much needed diverse and innovative points of view.

This special issue, is a follow on from Section I special issue, and will also focus on developing molecular communication abstractions, models, simulation, and experiments for diagnosing and treating infectious diseases. This may include characterizing the infection process and the propagation behavior of the virus, all the way to new mechanisms for developing therapeutic treatments using communication and information theory as tools. Prospective authors are cordially invited to submit their original manuscript on topics including but not limited to:

Read more

Special Issue Call for Papers: “Molecular Communications for Diagnostics and Therapeutic Development of Infectious Diseases”

For a PDF of the Call for Papers, please click here.

Infectious diseases have affected humans for centuries and continue to pose as one major challenge for healthcare going forward. The recent viral COVID-19 infectious disease has transformed our lives dramatically. Besides a large number of deaths, the virus can also affect the health of the general population. Recent historical events have proven that various types of coronaviruses can have a tremendous impact, and examples of these include the Severe Acute Respiratory Syndrome (SARS) and the Middle East Respiratory Syndrome (MERS), which also showed a high mortality rate. Besides coronaviruses, there are numerous types of infectious diseases that continue to affect people. A number of diseases that have been around for centuries do not currently have cures, one notable example being HIV. The consequence of the spreading of these infectious diseases, which sometimes can evolve into pandemics, can and will affect the global economy. Besides traditional fields such as immunology and virology, novel multi-disciplinary approaches will be required to tackle infectious diseases with much needed diverse and innovative points of view.

This special issue will focus on developing molecular communication abstractions, models, simulation, and experiments for diagnosing and treating infectious diseases. This may include characterizing the infection process and the propagation behavior of the virus, all the way to new mechanisms for developing therapeutic treatments using communication and information theory as tools. Prospective authors are cordially invited to submit their original manuscript on topics including but not limited to:

Read more

DEADLINE EXTENDED to June 1 – Special Issue On Biological Applications Of Information Theory – Claude Shannon’s Centennial

Happy Birthday, Claude Shannon!
 
April 30, 2016 is the 100th anniversary of the birth of Claude Shannon, the originator of information theory.  To honor this occasion the IEEE Transactions on Molecular, Biological and Multiscale Communications (T-MBMC) is soliciting submissions for a special issue on Biological Applications of Information Theory.  We are happy to announce an extension of the submission deadline to June 1, 2016.  
 
Submission Instructions
 
Submissions will be collected via Manuscript Central, http://mc.manuscriptcentral.com/tmbmc/ .
 
In your cover letter, state: “This paper is a submission for the Shannon Centennial special issue”.  For further information, please contact the corresponding guest editor, Prof. Peter Thomas (pjthomas__at__case.edu).
 
Special Issue Guest Editors
 
Prof. Alexander G. Dimitrov                                        
Department of Mathematics and Statistics                                             
Department of Integrative Physiology and Neuroscience
Washington State University, Vancouver, Washington, USA               
 
Prof. Faramarz Fekri
Department of Electrical and Computer Engineering
Georgia Institute of Technology, Atlanta, Georgia, USA
 
Prof. Aurel Lazar
Department of Electrical Engineering
Columbia University, New York, New York, USA
 
Prof. Stefan M. Moser
Signal and Information Processing Lab (ISI)
ETH Zurich, Zurich, Switzerland
Department of Electrical and Computer Engineering
National Chiao Tung University (NCTU), Hsinchu, Taiwan
 
Prof. Peter J. Thomas*
Department of Mathematics, Applied Mathematics, and Statistics
Department of Electrical Engineering and Computer Science
Department of Biology
Case Western Reserve University, Cleveland, Ohio, USA