About the Project

Developing Technologies, Methods, Research and Open Source Educational Materials for risk problems using real-world data of interest for Defense and Security. 

Application areas include, among others cybersecurity, biosecurity, strategic analysis and financial risk modelling. Some of the project's technologies are provided at the author's Github page https://github.com/cpgoncalves and are presented as articles at the current website.

The project is complementary to the Research Project:

• A.I. and Game Theory https://sites.google.com/view/ai-and-game-theory/p%C3%A1gina-inicial?authuser=1.

The project also includes some of the classroom materials for the Mathematics II lectures taught by Carlos Pedro Gonçalves (https://orcid.org/0000-0002-0298-3974) at the Bachelor in Aeronautical Management (https://www.ulusofona.pt/en/undergraduate/aeronautical-management) at Lusophone University of Humanities and Technologies’ School of the Economic Sciences and Organizations, along with previous research and teaching developed in collaboration with University of Lisbon's ISCSP's Instituto de Estudos Políticos e Estratégicos (ISCSP-IEPE).

Publications

• Gonçalves, C.P. (2019).  Cyberspace and Artificial Intelligence: The New Face of Cyber-Enhanced Hybrid Threats. In Abu-Taieh, E. (Ed.), Cyberspace, IntechOpen, DOI: 10.5772/intechopen.88648.

• Gonçalves, C.P. (2019). Blockchain and Augmented Intelligence Ecosystems – An Assessment of (Cyber)Security Risks. https://www.academia.edu/38273498/Blockchain_and_Augmented_Intelligence_Ecosystems_An_Assessment_of_Cyber_Security_Risks

• Gonçalves, C.P. (2020). The New Intelligence Game -  An Intelligence Study. e-book, https://www.academia.edu/43432931/The_New_Intelligence_Game.

• Gonçalves, C.P. (2020). The Race for Quantum Supremacy and the Quantum Artificial Intelligence of Things. https://www.academia.edu/43695119/The_Race_for_Quantum_Supremacy_and_the_Quantum_Artificial_Intelligence_of_Things.

• Gonçalves, C.P.  (2020). A.I. System to Predict COVID-19 Active Cases and Hospitalizations. https://www.academia.edu/44033596/A_I_System_to_Predict_COVID_19_Active_Cases_and_Hospitalizations

• Gonçalves, C.P. (2021). Cyberattacks on Quantum Networked Computation and Communications - Hacking the Superdense Coding Protocol on IBM's Quantum Computers. arXiv:2105.07187 [quant-ph], https://arxiv.org/abs/2105.07187.

• Gonçalves C.P. & Rouco J. (2021). Comparing Decision Tree-Based Ensemble Machine Learning Models for COVID-19 Death Probability Profiling. J Vaccines Vaccin, Vol. 12 Iss. 1 No: 1000441: https://www.walshmedicalmedia.com/open-access/comparing-decision-treebased-ensemble-machine-learning-models-for-covid19-death-probability-profiling.pdf 

• Gonçalves C.P. (2022). Quantum Neural Networks, Computational Field Theory and Dynamics. Int J Swarm Evol Comput, Vol. 11 Iss. 4 No: 1000246: https://www.walshmedicalmedia.com/open-access/quantum-neural-networks-computational-field-theory-and-dynamics.pdf 

• Gonçalves C.P. (2022). Coupled Stochastic Chaos and Multifractal Turbulence in an Artificial Financial Market. Int J Swarm Evol Comput, Vol. 11 Iss. 7 No: 1000261: https://www.walshmedicalmedia.com/open-access/coupled-stochastic-chaos-and-multifractal-turbulence-in-an-artificial-financial-market.pdf 

• Gonçalves C.P. (2022). Low Dimensional Chaotic Attractors in SARS-CoV-2’s Regional Epidemiological Data. Int J Swarm Evol Comput, Vol. 11 Iss. 9 No: 1000271: https://www.walshmedicalmedia.com/open-access/low-dimensional-chaotic-attractors-in--sarscov2s-regional-epidemiological-data.pdf 

• Gonçalves C.P. (2023). Low Dimensional Chaotic Attractors in Daily Hospital Occupancy from COVID-19 in the USA and Canada. Int J Swarm Evol Comput, Vol. 12 Iss. 01 No: 1000291: https://www.walshmedicalmedia.com/open-access/low-dimensional-chaotic-attractors-in-daily-hospital-occupancy-from--covid19-in-the-usa-and-canada.pdf 

Technologies

Main technologies will be made available at https://github.com/cpgoncalves.