Alexander Caicedo
Assistant Professor, Department of Electronics Engineering, Pontificia Universidad Javeriana, Bogotá, Colombia
Co-director, Research and Development Department, Ressolve

Alexander Caicedo is an Assistant Professor at the Department of Electronics Engineering at Pontificia Universidad Javeriana in Bogotá, Colombia, and the co-director of the Research and Development Department at Ressolve, a Colombian startup company that focus on speech and text analytics. He holds a PhD in Electronics Engineering from KU Leuven, Belgium, a master’s degree in Control Engineering, and a bachelor’s degree in Electronic Engineering.

His research interests lie at the intersection of biomedical signal processing, artificial intelligence, machine learning, and data mining. His primary focus is on developing advanced machine learning techniques and signal processing methods to understand (patho)physiological processes and improve diagnosis, prognosis, and monitoring. He has worked on various medical applications, including the study of brain hemodynamics in premature infants and the analysis of EEG, ECG, and EMG signals.

In addition to his applied research, Alexander is working on algorithms to optimize the initialization of parameters and hyperparameters in machine learning models to reduce their training time. He is also interested in developing algorithms that enhance the interpretability of data-driven models by identifying the functional nonlinear relationships between input variables, their interaction effects, and the output. Furthermore, he is open to collaborations with the industrial and public sectors, offering consultancy services in artificial intelligence applications, particularly in natural language processing, computer vision, medicine, and fintech.