Some of my research areas and interests

Optimization

A major part of the work engineers and researchers develop currently relies on designing, analyzing, operating and optimizing systems, processes, and products. From building investment portfolios to determining the amount of fertilizer to be employed on a plantation to the positioning of components on a circuit board (i.e., in almost all fields) optimization is a key tool for achieving performance and efectiveness. In my research, I pursue to develop a working body of knowledge on optimization and its techniques in its many facets in order to recognize, formulate, and solve problems in different fields, especially in resource allocation for communication networks and in signal and image processing.

Wireless communications

Few recent technologies had a so deep impact on the way of life of modern society as wireless communications. Smartphones are now an integrant part of most human activies in modern countries and, with the advent of 5G and the upcoming 6G, our reliance on wireless communications shall only increase. For wireless communications to effectively play their role, many electronic, signal processing, and communication technologies ranging from digital modulation to Internet protocols to multi-antenna transception systems had to be put in place, and present and future wireless communication engineers are continuously searching for solutions to improve and evolve these networks. In my research, I strive to maintain an updated understanding of modern wireless communications technologies as well as to investigate and develop new methods for this field.

Signal and image processing

In engineering and applied sciences, signals and data conveying information obtained from the most different sources are the key element for the processing and understanding of that same information and of the phenonmena they describe. Signals can vary from a time series of assets in the financial market to a microphone audio signal to a multispectral satelite image. The data carried by signals must usually be transformed or processed (e.g., by sampling and resampling, composition and decomposition, filtering, etc.) in order to expose the relevant information hidden in the signals or to generate another desired signal as response. In my research, I work to develop a working body of knowledge on signal and image processing techiniques applied to different fields, in order to extract relevant information from signals and data that support a better understanding and usage of that same information.

Machine learning

Machine learning is a thriving field with many practical applications, ranging from scene analysis in computer vision to book recommendation to game playing to signal demodulation. Counting with unsupervised, supervised, and reinforcement learning techniques, machine learning excelled in the recent past to solve problems intellectually hard for humans but easy to describe for computers and in recent times evolved to also excel in tackling intuitive problems, like voice and face recognition, especially with the computational power growth of modern computers and the advent of deep learning. In my research, I exert efforts to build a solid knowledge of modern tools, frameworks, and techniques of the machine learning field and apply them to problems in different domains, especially wireless communications and in video and image analysis.