I am a researcher and engineer working at the intersection of signal processing, machine learning, and embedded systems. With experience across academia and industry, my work explores robust audio and image processing, real-time embedded software, AI and statistical modeling for complex environments. I love to build practical solutions grounded in theory, combining strong technical understanding with real-world impact.
Signal processing. AI. Embedded systems.
I build robust real-time systems grounded in theory and designed with purpose.
Projects
Audio Effects using PortAudio
Real-Time Audio Effects Processor (RT-AEP) using PortAudio API.
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Sound Classification on STM32
Environmental Sound Classification (ESC) CNN implemented on the STM32.
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TDOA Methods
A variety of TDOA methods, including angle of arrival (AoA) and robust algorithms.
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Highlights Detection
Statistical approach for highlight detection based on the Mahalanobis distance.
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Selected Publications
Smart Plant Growth Device with Digital Twin Modeling for Precision Agriculture
D Pena, AP Aguiar, F Lobo Pereira, O Hadj-Abdelkader, H Bouzebiba, P Dehaghani
EP Patent EP4483706A1, 2025
A portable compact device for growing plants.
Espacenet →Energy-Efficient IoT-based Light Control System in Smart Indoor Agriculture
O Hadj Abdelkader, H Bouzebiba, D Pena, AP Aguiar
MDPI Sensors, 2023
Control light system in growth chambers while monitoring the plant factory through wireless communication devices.
PDF → DOI →A Simulation Tool for the Analysis of TDOA Methods
ABF Diniz, DS Pena, VA de Sousa Jr
IPIN 2021 (11th International Conference on Indoor Positioning and Indoor Navigation)
A simulation tool for evaluation and analysis of TDOA methods.
PDF →Characterization of Noise Level Inside a Vehicle Under Different Conditions
D Flor, D Pena, L Pena, V A. de Sousa Jr, A Martins
MDPI Sensors, 2020
Evaluation of noise level inside a vehicle using statistical tools.
PDF → DOI →Acoustic Impulsive Noise Based on Non-Gaussian Models: An Experimental Evaluation
D Pena, C Lima, M Dória, L Pena, A Martins, V Sousa
MDPI Sensors, 2019
Analysis of audio signal corrupted by impulsive noise using non-Gaussian models.
PDF → DOI →View the full list on Google Scholar →