Leonel Silima
Revolutionising AI, Healthcare, and Cybersecurity through Science and Innovation.
Aveiro, Portugal
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Leonel Silima is an MLOps professional at Lynxmind, holding a Bachelor's degree in Computer Engineering and a Master's degree in Applied Informatics from the University of Aveiro. He is currently pursuing a PhD in Computer Engineering with a focus on cybersecurity and undertaking a specialisation in Artificial Intelligence and Healthcare at Stanford University.
His academic and professional trajectory is centred at the intersection of artificial intelligence, healthcare, and machine learning operations, with an emphasis on developing and implementing scalable and efficient solutions for computational process optimisation. He has extensive experience in systems administration, cloud environments, and cybersecurity, acquired through both industry roles and applied research projects.
Leonel has contributed to key initiatives, including financial data analysis using machine learning in Barcelona and IT consultancy at Lynxmind in Lisbon, where he enhanced his expertise in technological infrastructure, process automation, and information security. In the academic sphere, he has been actively involved as a mentor in the SABES MAIS programme, a former ambassador for PARSUK, and a member of EESTEC, where he participated in and organised multiple international events.
As part of his engagement with EESTEC, he has attended conferences and workshops on artificial intelligence, cybersecurity, and software engineering in cities such as Belgrade, Zurich, Vienna, Munich, Skopje, Ljubljana, Bucharest, Podgorica, Tampere, Madrid, Preveza, Athens, Thessaloniki, and Istanbul. Additionally, he took part in the Seed for the Future programme in Beijing, where he deepened his knowledge of technological innovation and digital transformation.
His research interests lie in the application of advanced artificial intelligence models in the healthcare sector, focusing on enhancing accessibility, intelligence, and sustainability in clinical systems. His work reflects a strong commitment to scientific and technological innovation, seeking solutions to complex challenges in applied artificial intelligence and cybersecurity.
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Desafios da Inteligência Artificial na Saúde: Segurança e o Risco da Dependência Tecnologica.
A Inteligência Artificial (IA) revolucionou a medicina, impulsionando diagnósticos de precisão, terapias personalizadas e otimização da gestão hospitalar. No entanto, essa evolução irreversível impõe desafios críticos: a crescente dependência de algoritmos autônomos compromete a soberania clínica? Como mitigar riscos de violações de privacidade em um cenário de exploração massiva de dados sensíveis? As infraestruturas de saúde estão preparadas para ciberameaças cada vez mais sofisticadas?
Este estudo investiga as fragilidades inerentes à integração da IA na saúde, abordando a opacidade algorítmica, a vulnerabilidade cibernética e os dilemas éticos da automatização médica. A irreversibilidade dessa transformação exige regulamentações rigorosas e estratégias inovadoras que conciliem progresso tecnológico com princípios fundamentais de segurança e privacidade. O futuro da medicina não pode ser apenas digital, deve ser transparente, seguro e eticamente sustentável.
DEBUG – Cybersecurity & Offensive Security Conference Upcoming
DEBUG is a cybersecurity-focused event set to take place in Bucharest, bringing together professionals, researchers, and enthusiasts from across Europe to explore cutting-edge topics in digital security, ethical hacking, and offensive security techniques.
The conference will feature workshops, live demonstrations, and keynote talks on advanced cyber threats, vulnerability exploitation, penetration testing methodologies, and digital forensics. A strong emphasis will be placed on hands-on approaches using industry-standard tools and platforms.
As a guest speaker, I will deliver a technical session on System Auditing with Kali Linux, covering real-world techniques for identifying vulnerabilities, evaluating system security postures, and performing reconnaissance and exploitation in controlled environments. The presentation will include practical demonstrations using tools such as Nmap, Metasploit, Nikto, and Burp Suite, showcasing how Kali Linux can be leveraged for comprehensive security assessments.
DEBUG is designed to foster knowledge exchange, skill development, and collaboration within the cybersecurity community, addressing both current challenges and future trends in system security and ethical hacking.
BRAND.COMM – RESTful API Integration & Testing Workshop
RAND.COMM was a technical workshop held in Thessaloniki, focused on the design, implementation, and validation of RESTful APIs in modern development environments. The event covered best practices in API architecture, versioning, authentication (OAuth2, JWT), and automated documentation using tools like Swagger/OpenAPI.
Participants engaged in hands-on sessions involving integration testing with Postman and automated test execution via Newman. The workshop also explored continuous integration pipelines using tools such as Jenkins and GitHub Actions, and introduced alternative testing and debugging tools like Insomnia, Hoppscotch, and testing frameworks including JUnit, Pytest, and Mocha/Chai, depending on the technology stack.
Key topics included testability and reliability of RESTful interfaces in distributed systems and microservices, with emphasis on mocking strategies, sandbox environments, and quality assurance processes for critical APIs. The event fostered collaboration among backend developers, QA engineers, and DevOps professionals.
GMU 9 – Greece Me Up 9
GMU 9 – Greece Me Up 9 was a hands-on technical event focused on the exploration and application of Google Cloud Platform (GCP) services for developing and deploying Machine Learning solutions. Held in Greece, the workshop introduced participants to core GCP tools such as Vertex AI, BigQuery, Cloud Storage, and AI Platform Notebooks for scalable data analysis and model training.
The sessions covered practical workflows including dataset ingestion, data preprocessing using Cloud Dataflow and Dataprep, model development with TensorFlow and scikit-learn, and deployment of predictive models via RESTful endpoints using Cloud Functions and AI Platform Prediction. Emphasis was placed on automation, reproducibility, and monitoring using Cloud Build, Artifact Registry, and Cloud Monitoring.
Participants engaged in team-based projects, where they prototyped real-world ML applications leveraging the flexibility and computational power of GCP. The event fostered innovation and technical exchange in the context of cloud-native artificial intelligence solutions.
HASH OF THE DRAGON
A hands-on demonstration of various cybersecurity mechanisms, including multi-factor authentication, encryption techniques, firewalls, traffic analysis, and attack defense systems. The event also featured the use of biometric technologies such as facial recognition and fingerprint scanning, aiming to raise awareness about best practices in cybersecurity and data protection in digital environments.
EESTEC Spring Congress – Munich Edition
The EESTEC Spring Congress, held in Munich, was the official annual conference of the Electrical Engineering STudents’ European assoCiation (EESTEC) — a non-profit, apolitical student organization connecting Electrical Engineering and Computer Science students across Europe to foster international collaboration, technical development, and cultural exchange.
This edition gathered delegates from Local Committees across Europe for strategic discussions on policy-making, organizational structure, and long-term planning. A highlight of the congress was the election of the new EESTEC International Board for the upcoming term.
As a speaker and official representative of the University of Aveiro, I participated in both the technical and organizational sessions, contributing to debates and sharing perspectives on academic collaboration, student mobility, and the integration of industry trends into student-led initiatives. The event also featured sessions with Google, Apple, and Microsoft, offering insights into innovation in engineering and the role of student organizations in shaping future talent.
ACDC – Advanced Clinical Data Challenge
The ACDC – Advanced Clinical Data Challenge was a technical and scientific workshop held in Ankara, focused on exploring clinical and health-related datasets for the development and optimization of machine learning algorithms. The workshop provided participants with practical insights into health data preprocessing, feature extraction, and the application of supervised and unsupervised learning techniques. Various real-world datasets were analyzed, and key challenges in data quality, privacy, and integration were addressed. Demonstrations showcased the implementation of machine learning pipelines, emphasizing model evaluation and interpretability in medical contexts. The event fostered collaboration and knowledge exchange between researchers, data scientists, and healthcare technology specialists.
Machine Wisdon
Demonstrations of advanced Artificial Intelligence techniques focusing on frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn. Sessions covered practical use cases in computer vision, natural language processing, predictive systems, and automation, fostering knowledge exchange among professionals and researchers in the field.
Great Northern Health Tracking Trek
The Great Northern Health Tracking Trek was a 7-day technical and scientific event focused on the development of digital health solutions through applied computer science. Participants engaged in intensive sessions covering the use of the Telegram Bot API, Python programming, data handling, and data visualization. The program combined theoretical lectures with practical implementation in a hackathon-style format, promoting the application of knowledge to real-world challenges in health technology. As part of the event, developed solutions were demonstrated to the participants, fostering critical discussion, feedback exchange, and collaborative learning. The experience emphasized interdisciplinary innovation at the intersection of computer science and healthcare.
MozCyber – Cybersecurity Simulation & Response Workshop
MozCyber was a cybersecurity-focused event held in Maputo, aimed at promoting technical excellence and practical awareness in the domain of information and cyber security. The event featured live demonstrations and collaborative workshops addressing real-world cyber threats and their corresponding defense mechanisms.
As an active participant, I conducted simulated cyberattacks, including network exploitation, phishing, and denial-of-service techniques, using professional tools and ethical hacking frameworks. These simulations were evaluated based on technical precision, creativity, and the effectiveness of proposed mitigation strategies.
I was awarded 2nd place in the competition segment of the event, in recognition of the realism and technical depth of my simulated attack scenario and the quality of my incident response proposal. This experience highlighted not only offensive security skills but also reinforced best practices in detection, analysis, and remediation within cybersecurity environments.
Huawei Seeds for the Future – 2018 Edition (Beijing, China)
Seeds for the Future is Huawei’s flagship global program aimed at nurturing ICT talent and promoting cross-cultural exchange. The 2018 edition, held in Beijing, China, brought together top university students from around the world for an immersive experience combining advanced technological training and cultural activities.
As a representative of Mozambique, I participated in intensive sessions on 5G, Artificial Intelligence, Cloud Computing, and Smart City architectures, held at Huawei’s headquarters and R&D centers. The program also included visits to leading tech facilities and cultural landmarks, fostering a deeper understanding of both technological innovation and international collaboration.
During the final innovation challenge, my team earned 2nd place, presenting a solution that leveraged AI and cloud technologies to address a local social challenge. This recognition highlighted both our technical competency and our ability to apply technology in impactful, real-world contexts.
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