Volume 6, Issue 3 Is Out Now

Be sure to check out TMBMC’s 3rd issue of 2020 which came out recently on IEEE Xplore. There is a great variety of topics, including an invited article by Profs. C.-L. Tai and I. F. Akyildiz. Enjoy!


Generalized Molecular-Shift Keying (GMoSK): Principles and Performance Analysis (X. Chen, Y. Huang, L.-L. Yang, and M. Wen)

Optimal Detection Interval for Absorbing Receivers in Molecular Communication Systems With Interference (T. N. Cao, N. Zlatanov, P. L. Yeoh, and J. S. Evans)

Is Information in the Brain Represented in Continuous or Discrete Form? (J. Tee and D. P. Taylor)

Impacts of Unintended Nanomachine in Diffusion-Based Molecular Communication System (L. Chouhan, P. K. Sharma, P. K. Upadhyay, P. Garg, and N. Varshney)

Capacities and Optimal Input Distributions for Particle-Intensity Channels (N. Farsad, W. Chuang, A. Goldsmith, C. Komninakis, M. Médard, C. Rose, L. Vandenberghe, E. E. Wesel, and R. D. Wesel)

[INVITED] A Novel Framework for Capacity Analysis of Diffusion-Based Molecular Communication Incorporating Chemical Reactions (C.-L. Tai and I. F. Akyildiz)


3-D Diffusive Molecular Communication With Two Fully-Absorbing Receivers: Hitting Probability and Performance Analysis (N. V. Sabu, N. Varshney, and A. K. Gupta)

Volume 6, Issue 2 is Now Out

The second issue of 2020 for TMBMC is out now. There is a great variety of papers with our usual fantastic line-up of feature articles, plus a Methods paper and a Letters paper. Check it out at IEEE Xplore, and let us know what you think!


Wireless Communication in Nanonetworks: Current Status, Prospect and Challenges (Y. Lu, R. Ni, and Q. Zhu)

Information Devices Based on Quantized Liénard-Hermite Oscillators (G. L. Viviani)

Analysis of Multi-Chemical Transmission in the Macro-Scale (D. T. McGuiness, S. Giannoukos, S. Taylor, and A. Marshall)

A Comprehensive Survey on Hybrid Communication in Context of Molecular Communication and Terahertz Communication for Body-Centric Nanonetworks (K. Yang, D. Bi, Y. Deng, R. Zhang, M. M. Ur Rahman, N. A. Ali, M. A. Imran, J. M. Jornet, Q. H. Abbasi, and A. Alomainy)

2-D Channel Characterization of a Molecular Motor Signal (A. Gaur and M. R. Bhatnagar)


Molecular Signal Tracking and Detection Methods in Fluid Dynamic Channels (M. Abbaszadeh, I. U. Atthanayake, P. J. Thomas, and W. Guo)


Molecular Type Permutation Shift Keying for Molecular Communication (Y. Tang, M. Wen, X. Chen, Y. Huang, and L.-L. Yang)

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:

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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:

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Volume 6, Issue 1 is Now Out

TMBMC’s first issue of 2020 is out now, and there are some great papers included. Check it out at IEEE Xplore, and let us know what you think!


Investigating Instabilities in the Mammalian Cochlea Using a Stochastic Uncertainty Model (M. Filo and B. Bamieh)

All-Optical Cochlear Implants (S. E. Trevlakis, A.-A. A. Boulogeorgos, N. D. Chatzidiamantis, and G. K. Karagiannidis)

Inference in Turbulent Molecular Information Channels Using Support Vector Machine (J. Li, W. Zhang, X. Bao, M. Abbaszadeh, and W. Guo)

Iterative Signal Detection for Diffusion-Based Molecular Communications (M. S. Thakur, S. Sharma, and V. Bhatia)

Anomaly Detection in Molecular Communications With Applications to Health Monitoring Networks (S. Ghavami)

Signal Detection for Molecular MIMO Communications With Asymmetrical Topology (C. Wu, L. Lin, W. Guo, and H. Yan)