Article
Chemistry, Multidisciplinary
Wenxin Pan, Xiaokang Chen, Xiaodong Yang, Nan Zhao, Lingguo Meng, Fiaz Hussain Shah
Summary: With the development of nanotechnology and biotechnology, nanomachines can be applied inside the human body, forming a Body Area Network (BAN) by connecting multiple nanomachines. This paper designs and builds a nanomaterial-based molecular communication platform, which successfully demonstrates communication capabilities through experimental testing. The platform can further explore modulation schemes and channel characteristics using different nanomaterials.
Article
Biochemical Research Methods
Joana Angjo, Ali E. Pusane, H. Birkan Yilmaz, Ertugrul Basar, Tuna Tugcu
Summary: This study investigates asymmetric molecular links in a relay system and proposes two parameter optimization methods to achieve satisfactory overall performance. The resulting bit error rate (BER) performances are presented and discussed.
IEEE TRANSACTIONS ON NANOBIOSCIENCE
(2022)
Article
Engineering, Electrical & Electronic
Joana Angjo, Ali E. Pusane, H. Birkan Yilmaz, Ertugrul Basar, Tuna Tugcu
Summary: In this paper, a novel system is proposed to improve the received signal shape and overall performance of Molecular Communication via Diffusion (MCvD) schemes over longer distances by introducing a relay nanomachine. The analytical model for the optimal relaying scheme and an optimization problem to find the most advantageous delay time value (Tau) are presented. The comparison between the proposed scheme and the conventional single-input single-output scenario demonstrates a promising improvement in error rates when the relay is introduced.
NANO COMMUNICATION NETWORKS
(2022)
Article
Engineering, Electrical & Electronic
Ethungshan Shitiri, Ho-Shin Cho
Summary: This article introduces the concept of timing alignment and explores its applications in MCvD-based nanonetworks. Timing alignment includes four elements: hardware, protocol, network, and application, which can help nanomachines execute processes or actions in an organized manner.
IEEE COMMUNICATIONS MAGAZINE
(2021)
Article
Computer Science, Information Systems
Chao-Chao Wang, Xinwei Yao, Wan-Laing Wang, Josep Miquel Jornet
Summary: This paper proposes a multi-hop deflection routing algorithm based on reinforcement learning (MDR-RL) for the design of routing protocols in nanonetworks. By implementing new routing and deflection tables in nano-nodes and designing different updating schemes, dynamic and efficient routing path exploration is achieved. Simulation results show that MDR-RL can significantly increase the packet delivery ratio and number of delivered packets while reducing the packet average hop count.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Computer Science, Information Systems
Tania Islam, Ethungshan Shitiri, Ho-Shin Cho
Summary: This paper investigates simultaneous drug-delivery (SDD) in molecular communication-based targeted drug-delivery systems, proposing two SDD schemes and validating their effectiveness through simulation results.
Article
Computer Science, Information Systems
Tania Islam, Ethungshan Shitiri, Ho-Shin Cho
Summary: This study investigates the use of molecular communication (MC) in sequential drug delivery to improve the performance of combination therapy. By controlling the release times of drug-carrying nanomachines, the delivery time interval (DTI) between consecutive drug administrations can be maintained, leading to more effective treatment.
Article
Computer Science, Information Systems
Federico Tavella, Alberto Giaretta, Triona Marie Dooley-Cullinane, Mauro Conti, Lee Coffey, Sasitharan Balasubramaniam
Summary: This paper presents a new storage solution that utilizes bacterial nanonetwork properties to store digitally-encoded DNA into motility-restricted bacteria, allowing for data retrieval by engineered motile bacteria. Extensive simulations and wet lab experiments show the feasibility of using bacteria nanonetworks to retrieve data from DNA-based archives.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING
(2021)
Article
Biochemical Research Methods
Junseob Kim, Sunghwan Cho, Justin P. Coon, Alfonso A. Castrejon-Pita, Hamidreza Arjmandi
Summary: This paper proposes a novel electrophoretic molecular communication (EMC) framework utilizing a piecewise constant electric field. The framework exploits electric fields to enhance communication performance by inducing the movement of charged particles. Two optimization problems are formulated to design the electric field based on different objectives: minimizing a mean squared error and minimizing a bit interval. The proposed piecewise constant electric field significantly reduces the bit error rate compared to the constant field benchmark while performing slightly worse than the exponential field benchmark.
IEEE TRANSACTIONS ON NANOBIOSCIENCE
(2023)
Article
Optics
Karan Chopra, Shivang Misra, Sindhu Hak Gupta, Asmita Rajawat
Summary: This research aims to optimize the design of multiarray antennas by improving gaps and using the terahertz spectrum for better performance in the human body. The study focuses on simulating and applying the ANN algorithm to obtain optimized antenna parameters.
Article
Chemistry, Multidisciplinary
Girgis Obaid, Shazia Bano, Hanna Thomsen, Susan Callaghan, Nimit Shah, Joseph W. R. Swain, Wendong Jin, Xiadong Ding, Colin G. Cameron, Sherri A. McFarland, Juwell Wu, Mark Vangel, Svetla Stoilova-McPhie, Jie Zhao, Mari Mino-Kenudson, Charles Lin, Tayyaba Hasan
Summary: Desmoplasia, a characteristic of pancreatic ductal adenocarcinoma (PDAC), poses barriers to treatment and affects patient outcomes. This study demonstrates a novel targeted liposomal therapy that combines photodynamic and chemotherapeutic effects while also remediating desmoplasia. The results show significant inhibition of tumor growth and improved survival, highlighting the potential of this therapy in extending the lives of PDAC patients.
Article
Materials Science, Multidisciplinary
Yu-heng Lu, You-chen Tang, Ke-han Tang, Ding-cai Wu, Qian Ma
Summary: This study reports a simple and efficient strategy to construct nitrogen-doped micro-meso-macroporous carbon nanonetworks using Schiff-base gelation followed by carbonization, which have high surface area, highly conductive carbon backbone, and can be applied in various fields such as flexible supercapacitor electrodes.
NEW CARBON MATERIALS
(2022)
Article
Biochemistry & Molecular Biology
Thennakoon M. Sampath U. Gunathilake, Yern Chee Ching, Hiroshi Uyama, Dai Hai Nguyen, Cheng Hock Chuah
Summary: The investigation on protein-nanoparticle interactions using hen's egg white and sulphuric acid hydrolysed nanocellulose revealed valuable information through various techniques, indicating the presence of interactions and changes in physical properties. The study suggests potential applications of CNC in nanomedicine and nanotherapy based on the observed protein nanoparticle interactions.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2021)
Article
Computer Science, Information Systems
Hangmei Rao, Mingming Wu, Jianquan Wang, Wanbin Tang, Sa Xiao, Shaoqian Li
Summary: This article investigates covert communications enabled by device-to-device relays, introducing the concept of dynamic relay selection and power allocation. It proposes a Lyapunov optimization-based drift-plus-penalty algorithm to solve the problem and validates the effectiveness of dynamic relay selection through numerical results.
IEEE SYSTEMS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Florian-Lennert Adrian Lau, Regine Wendt, Stefan Fischer
Summary: One of the key research issues in nanonetworks is constructing real networks, which can be achieved using DNA building blocks to create computing and communication mechanisms. By utilizing specific and more efficient sets of building blocks, the number required for computations can be reduced, leading to the development of small message molecules for mathematical problems.
NANO COMMUNICATION NETWORKS
(2021)
Article
Biochemical Research Methods
Daniel P. Martins, Michael Taynnan Barros, Sasitharan Balasubramaniam
IEEE TRANSACTIONS ON NANOBIOSCIENCE
(2019)
Article
Computer Science, Hardware & Architecture
Michael Donohoe, Brendan Jennings, Sasitharan Balasubramaniam
Article
Biochemical Research Methods
Geoflly L. Adonias, Anastasia Yastrebova, Michael Taynnan Barros, Yevgeni Koucheryavy, Frances Cleary, Sasitharan Balasubramaniam
IEEE TRANSACTIONS ON NANOBIOSCIENCE
(2020)
Article
Biochemical Research Methods
Mladen Veletic, Michael Taynnan Barros, Hamidreza Arjmandi, Sasitharan Balasubramaniam, Ilangko Balasingham
IEEE TRANSACTIONS ON NANOBIOSCIENCE
(2020)
Article
Mathematical & Computational Biology
Geoflly L. Adonias, Harun Siljak, Michael Taynnan Barros, Nicola Marchetti, Mark White, Sasitharan Balasubramaniam
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
(2020)
Article
Multidisciplinary Sciences
Michael Taynnan Barros, Phuong Doan, Meenakshisundaram Kandhavelu, Brendan Jennings, Sasitharan Balasubramaniam
Summary: This paper proposes using astrocytes to implement Boolean logic gates by controlling Ca2+ ion flows between the cells, and introduces a reinforced learning platform to optimize the activation level and time slot of input signals to the gate. Experimental results show that both AND and OR gates can be achieved through engineered cells, and simulation results indicate that an optimal activation level and time slot value are required for high accuracy.
SCIENTIFIC REPORTS
(2021)
Article
Computer Science, Information Systems
Federico Tavella, Alberto Giaretta, Triona Marie Dooley-Cullinane, Mauro Conti, Lee Coffey, Sasitharan Balasubramaniam
Summary: This paper presents a new storage solution that utilizes bacterial nanonetwork properties to store digitally-encoded DNA into motility-restricted bacteria, allowing for data retrieval by engineered motile bacteria. Extensive simulations and wet lab experiments show the feasibility of using bacteria nanonetworks to retrieve data from DNA-based archives.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING
(2021)
Article
Engineering, Electrical & Electronic
Daniel P. Martins, Michael Taynnan Barros, Benjamin J. O'Sullivan, Ian Seymour, Alan O'Riordan, Lee Coffey, Joseph B. Sweeney, Sasitharan Balasubramaniam
Summary: This paper proposes a biocomputing system based on engineered bacteria for environmental monitoring and detection of metabolic diseases. The authors present a prototype of a Bacterial Molecular Computing on a Chip (BMCoC) using microfluidic and electrochemical sensing technologies. They demonstrate that electrochemical sensors can detect small changes in pH and dissolved oxygen concentrations created by engineered bacterial populations. Theoretical modeling analysis shows that variations in production delay and molecular output signal concentration can impact the computation reliability.
IEEE SENSORS JOURNAL
(2022)
Proceedings Paper
Computer Science, Information Systems
Lasantha T. Wedage, Bernard Butler, Sasitharan Balasubramaniam, Mehmet C. Vuran, Yevgeni Koucheryavy
Summary: This paper compares the path loss performance of THz links in atmospheric gas compositions and environmental conditions on Mars and Earth. It shows that conditions on Mars can reduce the path loss between surface-based transceivers, allowing for greater effective transmission distances for THz frequencies. However, dust storms on Mars can increase path loss.
2022 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS)
(2022)
Article
Computer Science, Information Systems
Dixon Vimalajeewa, Chamil Kulatunga, Donagh Berry, Sasitharan Balasubramaniam
Summary: Distributed analytics enables smarter data-driven services in various domains, including agriculture. Centralized data analytic services face challenges in infrastructure, timeliness, and data ownership, making distributed machine learning platforms necessary. Federated Learning (FL) optimizes resource consumption and privacy preservation in timely analytics. This paper proposes a novel FL-NNPLS model for smart farming, which outperforms centralized approaches and demonstrates state-of-the-art performance.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING
(2022)
Article
Engineering, Biomedical
Geoflly L. Adonias, Conor Duffy, Michael Taynnan Barros, Claire E. McCoy, Sasitharan Balasubramaniam
Summary: The study proposes a hybrid experimental and simulation model to analyze the effects of demyelination on neuron communication. By inducing local demyelination and empirically estimating a myelination index from cell images, the model simulates the impact of demyelination on signal propagation along the axon. This approach can predict the degeneration severity and minimize the need for specialized laboratory equipment for single-cell communication analysis.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2021)
Article
Engineering, Electrical & Electronic
Michael Taynnan Barros, Mladen Veletic, Masamitsu Kanada, Massimiliano Pierobon, Seppo Vainio, Ilangko Balasingham, Sasitharan Balasubramaniam
Summary: Hundreds of millions of people worldwide are affected by viral infections each year, lacking vaccines and effective treatments; the COVID-19 pandemic has underscored this challenge, showing rapid spread and societal impact. Molecular Communications, an emerging interdisciplinary area, integrates bioengineering, nanotechnology, and information and communication technology to combat viral infections and address possible future pandemics.
IEEE TRANSACTIONS ON MOLECULAR BIOLOGICAL AND MULTI-SCALE COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Stefanus Wirdatmadja, Josep Miquel Jornet, Yevgeni Koucheryavy, Sasitharan Balasubramaniam
IEEE TRANSACTIONS ON COMMUNICATIONS
(2020)
Article
Computer Science, Information Systems
Sergio Lopez Bernal, Alberto Huertas Celdran, Lorenzo Fernandez Maimo, Michael Taynnan Barros, Sasitharan Balasubramaniam, Gregorio Martinez Perez
Article
Computer Science, Information Systems
Manus Pengnoo, Michael Taynnan Barros, Lunchakorn Wuttisittikulkij, Bernard Butler, Alan Davy, Sasitharan Balasubramaniam
