Dr Daniel Martins

School of Computer Science and Electronic Engineering (CSEE)
Dr Daniel Martins



Daniel received his PhD from Waterford Institute of Technology (2019), his MSc in Electrical Engineering, from Federal University of Campina Grande, Brazil (2014), and his BSc in Telecommunications Engineering, from UNIJORGE, Brazil (2008). He is an IEEE Member and volunteer, since 2005, contributing with the development of student and professional activities in South America, Ireland, and UK. He has some academic and research experience from Brazil and Ireland, where he has designed applied communications systems (industry, agriculture, and health). Currently, Daniel is investigating how bacteria process molecular signals to propose novel bacteria-based biosensing and biocomputing devices. He has experience in the following subjects: Communications Networks, Sound Processing, Signal Analysis and Processing, Communications Systems, Computational Synthetic Biology and Molecular Communications.


  • PhD Waterford Institute of Technology,

  • MSc in Electrical Engineering Federal University of Campina Grande,

  • Postgraduate Diploma on University Lecturing Jorge Amado University Center,

  • BSc in Telecommunications Engineering Jorge Amado University Center,


University of Essex

  • Lecturer, University of Essex (30/10/2023 - present)

Other academic

  • Postdoctoral Researcher, Walton Institute, South East Technological University (2/12/2019 - 17/10/2023)

  • Lecturer, Engineering, UNINASSAU (2/3/2015 - 31/7/2015)

  • Course Coordinator, Telecommunications and Informatics, Vocational School Redemptorist (4/2/2013 - 30/6/2014)

  • Assistant Lecturer, Engineering, Jorge Amado University Center (1/2/2010 - 29/7/2011)

Research and professional activities

Research interests

Bacteria-based Biocomputing

Design of simple computing tasks that exploits bacterial cells/populations signalling (simulation/theoretical)

Open to supervise

Bacteria-based Communications Systems

Investigation of signalling mechanisms used by bacteria through the lens of communications systems theory (simulation/theoretical/experimental)

Open to supervise


Design of new methods to provide cybersecurity to bioinformatics, biomedical and molecular communications systems (theoretical/simulation)

Open to supervise

Ecological Communities (Molecular-level Interactions)

Investigation of ecological communities interactions using telecommunications concepts and methods (simulations/theoretical/experimental).

Open to supervise

Signalling Pathways Analysis

Design of computing and communications methods to investigate and analyse molecular signalling pathways, prokaryotic and eukaryotic cells (simulation/theoretical).

Open to supervise

Cell-based Computing/Communications Devices

Utilisation of prokaryotic/eukaryotic cells to design communications and computing devices (simulations/theoretical).

Open to supervise

Teaching and supervision

Current teaching responsibilities

  • Network Fundamentals (CE155)

  • Team Project Challenge (CE101)


Publications (4)

Somathilaka, S., Martins, DP., Li, X., Li, Y. and Balasubramaniam, S., (2023). Inferring Gene Regulatory Neural Networks for Bacterial Decision Making in Biofilms

Koucheryavy, Y., Yastrebova, A., Martins, DP. and Balasubramaniam, S., (2021). A Review on Bio-Cyber Interfaces for Intrabody Molecular Communications Systems

Martins, DP., Barros, MT., O'Sullivan, B., Seymour, I., O'Riordan, A., Coffey, L., Sweeney, J. and Balasubramaniam, S., (2021). Microfluidic-based Bacterial Molecular Computing on a Chip

Martins, DP., Q-O'Reilly, H., Coffey, L., Cotter, PD. and Balasubramaniam, S., (2020). Hydrogel-based Bio-nanomachine Transmitters for Bacterial Molecular Communications

Journal articles (11)

Egan, M., Kuscu, M., Barros, MT., Booth, M., Llopis-Lorente, A., Magarini, M., Martins, DP., Schäfer, M. and Stano, P., (2023). Toward Interdisciplinary Synergies in Molecular Communications: Perspectives from Synthetic Biology, Nanotechnology, Communications Engineering and Philosophy of Science. Life. 13 (1), 208-208

Somathilaka, SS., Balasubramaniam, S., Martins, DP. and Li, X., (2023). Revealing gene regulation-based neural network computing in bacteria. Biophysical Reports. 3 (3), 100118-100118

Martins, DP., Barros, MT., O'Sullivan, BJ., Seymour, I., O'Riordan, A., Coffey, L., Sweeney, JB. and Balasubramaniam, S., (2022). Microfluidic-Based Bacterial Molecular Computing on a Chip. IEEE Sensors Journal. 22 (17), 16772-16784

Siljak, H., Barros, MT., D'Arcy, N., Martins, DP., Marchetti, N. and Balasubramaniam, S., (2022). Applying Intelligent Reflector Surfaces for Detecting Violent Expiratory Aerosol Cloud using Terahertz Signals. IEEE Network. 37 (5), 56-63

Somathilaka, SS., Martins, DP., Barton, W., O'Sullivan, O., Cotter, PD. and Balasubramaniam, S., (2022). A Graph-Based Molecular Communications Model Analysis of the Human Gut Bacteriome. IEEE Journal of Biomedical and Health Informatics. 26 (7), 3567-3577

Siljak, H., Ashraf, N., Barros, MT., Martins, DP., Butler, B., Farhang, A., Marchetti, N. and Balasubramaniam, S., (2021). Evolving Intelligent Reflector Surface Toward 6G for Public Health: Application in Airborne Virus Detection. IEEE Network. 35 (5), 306-312

López Bernal, S., Perez Martins, D. and Huertas Celdrán, A., (2021). Towards the mitigation of distributed denial-of-service cyberbioattacks in bacteria-based biosensing systems. Digital Signal Processing. 118, 103241-103241

Martins, DP., Barros, MT. and Balasubramaniam, S., (2019). Quality and Capacity Analysis of Molecular Communications in Bacterial Synthetic Logic Circuits. IEEE Transactions on NanoBioscience. 18 (4), 628-639

Martins, DP., Leetanasaksakul, K., Barros, MT., Thamchaipenet, A., Donnelly, W. and Balasubramaniam, S., (2018). Molecular Communications Pulse-Based Jamming Model for Bacterial Biofilm Suppression. IEEE Transactions on NanoBioscience. 17 (4), 533-542

Martins, DP., Barros, MT., Pierobon, M., Kandhavelu, M., Lio, P. and Balasubramaniam, S., (2018). Computational Models for Trapping Ebola Virus Using Engineered Bacteria. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15 (6), 2017-2027

Martins, DP. and Alencar, MS., (2013). Análise e Caracterização Matemática do Ruído Gerado por Ventiladores Industriais. Revista de Tecnologia da Informação e Comunicação. 4 (1), 42-46

Conferences (7)

Somathilaka, SS., Martins, DP. and Balasubramaniam, S., (2022). Information Flow of Cascading Bacterial Molecular Communication Systems with Cooperative Amplification

Martins, DP., Drohan, J., Foley, S., Coffey, L. and Balasubramaniam, S., (2021). Modulated Molecular Channel Coding Scheme for Multi-Bacterial Transmitters

Martins, DP., Balasubramaniam, S., Cotter, PD. and O'Sullivan, O., (2021). Binding Process Analysis of Bacterial-based AND Logic Gates

Martins, DP., O'Reilly, HQ., Coffey, L., Cotter, PD. and Balasubramaniam, S., (2020). Hydrogel-based Bio-nanomachine Transmitters for Bacterial Molecular Communications

Bernal, SL., Martins, DP. and Celdran, AH., (2020). Distributed Denial of Service Cyberbioattack Affecting Bacteria-based Biosensing Systems

Martins, DP., Barros, MT. and Balasubramaniam, S., (2016). Using Competing Bacterial Communication to Disassemble Biofilms

Martins, DP. and Alencar, MS., (2014). A new approach to noise measurement and analysis in an industrial facility



Colchester Campus

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