I am an Assistant Research Professor with joint appointment between the Department of Electrical & Computer Engineering (ECE) and the Experiential Artificial Intelligence Institute (EAI) both at Northeastern University (NU). Before joining NU, I attended top Brazilian Federal Universities where I completed my B.Sc. and M.Sc., Ph.D., and a postdoc in Electrical Engineering. I joined NU in 2019 as Postdoctoral researcher, becoming an Associate Research Scientist in 2021 and Research Assistant Professor in July 2023.
Honors & Awards
- Faculty Research Team Award, 23rd Annual Faculty and Staff Awards, COE, NU, Apr. 2021.
- Best Technical Paper PETRA Award 2020.
- Recipient of the Brazilian Ministry of Education Postdoctoral Scholarship, 2017.
- Recipient of the Brazilian Ministry of Education Ph.D. Scholarship, 2012.
- Recipient of the Brazilian Ministry of Education M.Sc. Scholarship, 2006.
My research interests concern statistical signal processing and machine learning with focus on hybrid physics-data-driven models, nonlinear dynamical systems modeling, Bayesian filtering, estimation theory and time-series analysis. Current projects include physiological data analysis for predicting the onset of aggressive behavior in youth with autism spectrum disorder (Aggression in ASD), development of hybrid physiological-data-driven dynamic models for modeling the urinary system (BLADDER), detection of retinopathy of prematurity (ASSIT), motor cortex mapping, interference source localization and tracking in navigation systems (RESILIENT), online learning of artificial intelligence enhanced dynamical physical models applied for navigation systems, remote sensing, hyperspectral unmixing, and sensitive resource monitoring. In these projects we analyze different types of data including physiological time-series, multispectral and hyperspectral images, and radar data, among others.
New collaborations: I have interest in multidisciplinary areas in healthcare and environmental sciences and I look forward to collaborating with area experts and expand research topics to further patient populations and applications.
Selected Research Projects
NIH-RO1: Enhancing Automated Prediction of Challenging Behavior in Individuals with Autism Using Biosensor Data and Machine Learning.
National Geographic: Spaceborne Multispectral Image Fusion for Water Mapping and Flood Management
Complete list of publication at GoogleScholar.
Jul 21, 2023
ECE Associate Professor Pau Closas and Assistant Research Professor Tales Imbiriba, in collaboration with Tampere University and the University of Vaasa in Finland, was awarded a $1.4M NSF award for “Distributed AI for enhanced security in satellite-aided wireless navigation (RESILIENT).”
May 08, 2023
ECE Associate Professor Pau Closas received the Best Paper in Track Award at the 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS) for the work “Jammer Classification with Federated Learning*”, with electrical engineering students Peng Wu and Helena Calatrava, and Associate Research Scientist Tales Imbiriba. *P. Wu, H. Calatrava, T. Imbiriba, P. Closas, “Jammer Classification […]
Feb 25, 2021
ECE Assistant Professor Pau Closas, Professor Deniz Erdogmus, CEE Professor Edward Beighley, and ECE Postdoc Tales Imbiriba were awarded a $98K grant from the National Geographic Society’s Committee for Research and Exploration for “Spaceborne Multispectral Image Fusion for Water Mapping and Flood Management”.