Research Interests

Having worked for several years in mobile development (either for commercial use or just research), it has been always a passion of mine to see and experiment the latest trends. Recently IoT Development came “into the mix”, and I’ve been having a lot of fun exploring its features. Both offer endless possibilities and I’m always looking forward to building an app or help with a component.

The basis of my PhD work, a field that I believe that has much to offer but yet little has been done. IoT on a cellular (mobile network) environment will become more predominant, but future solutions must be deployed with more security tools and features than the current ones. Multiple studies show that lately IoT devices are the point of entry for several (and quite damaging) attacks and I would like to help with new and innovative approaches to minimize that.

It started as one of my PhD topics, getting to know how Identity Management plays an important role in your everyday security became a permanent interest of mine. I believe it is important to not only make people more aware of the importance of protecting themselves online but also having this and other practices more accessible to all

Another of my PhD topics but has also captivated my interest in the long run. Artificial Intelligence (AI) and Machine Learning (ML) are without a doubt technological “powerhouses” with their tremendous potential across multiple fields in ML, and security is no exception. Currently I’m working on how we can use this to provide more security features for IoT devices in a cellular network.

One of the more recent topics for my PhD work yet very interesting and needed for a broader use. Cataloging attacks in mobile networks/operators and share them between partners to help mitigate its reach should become a more streamlined process. A lot of work needs to be done in this field, but the current works look already promising.

This field is one of my high-priority research interests. It focuses on ensuring that these technologies are developed and deployed in ways that are just accountable and aligned with human values. Understanding the concept of fairness—whether through equal outcomes, equal error rates, or treating similar individuals similarly—while also navigating the ethical tensions these definitions can create is key. Also, it is important on how to align AI with ethical principles like utilitarianism or rights-based approaches. There is significant work on making AI systems more transparent and explainable, particularly given the opacity of complex models. However, technical solutions alone are insufficient; accountability, legal responsibility, and inclusive governance frameworks are essential. This field, having a strong interdisciplinary focus, emphasizes the importance of involving impacted communities and considering global perspectives. Overall, this research seeks to ensure that AI serves society equitably and responsibly.