Doctorate Filippo Laganà: Research fellow at University Magna Graecia Catanzaro, Italy
Filippo Laganà is a university lecturer and researcher with expertise in digital electronics, biomedical measurements, and environmental engineering. Currently, he is a lecturer at the University ‘Magna Graecia’ of Catanzaro, where he specializes in subjects related to biomedical and computer engineering. Filippo has a multidisciplinary background, with significant contributions in industrial engineering, environmental acoustics, and signal processing. He is passionate about developing advanced electronic systems for biomedical applications, particularly focusing on sensors for biopotential acquisition in ECG, ICG, and EMG.
Online Profiles
Filippo maintains an active presence on academic platforms such as ResearchGate and Google Scholar, where he shares his scientific publications and ongoing research efforts. His online professional profiles reflect a commitment to both education and advanced research in the fields of electronics and biomedical engineering. He is also affiliated with various academic and engineering networks, ensuring his work reaches a global audience in the field of industrial and biomedical engineering.
Education
Filippo holds a Ph.D. in Biomedical Engineering and Computer Science from the University ‘Magna Graecia’ of Catanzaro, where he conducted pioneering research on bio-inspired ultrasonic systems for time-of-flight detection. He also completed a second-level master’s degree in Information & Communication Technology (ICT) at the University for Foreigners ‘Dante Alighieri’ of Reggio Calabria. His academic journey includes a variety of specialized courses, such as psychopedagogy, environmental acoustics, and safety engineering, reflecting his broad interdisciplinary expertise.
Research Focus
Filippo’s research primarily revolves around the development and application of electronic systems for healthcare and environmental engineering. He focuses on sensors and biopotential acquisition for diagnostic tools like ECG, ICG, and EMG. His work integrates soft computing techniques, signal processing algorithms, and non-destructive testing methods to improve measurement accuracy and system reliability. Additionally, his research explores environmental monitoring, with a particular interest in electromagnetic wave propagation and safety standards.
Experience
Filippo’s professional experience spans academia and public sector work. As a university lecturer, he teaches courses in digital electronics and biomedical measurements while also conducting significant research. Prior to his academic roles, he worked as a civil servant at the Metropolitan City of Reggio Calabria, where he led projects in workplace safety, environmental protection, and police planning. His broad skill set includes technical leadership, project management, and educational roles, enabling him to bridge research, education, and practical applications in engineering.
Research Timeline
Filippo’s research career began during his time at the Mediterranea University of Reggio Calabria, where he contributed to projects on non-destructive testing and electromagnetic compatibility. His Ph.D. research focused on bio-inspired ultrasonic systems, a topic that continued to shape his work. In recent years, his focus has shifted towards biomedical sensor systems, leading to his current research fellowship at the University ‘Magna Graecia’ of Catanzaro. His research is ongoing, with a clear emphasis on improving healthcare technology and environmental monitoring.
Awards & Honors
Filippo has earned several academic distinctions and certifications throughout his career. Notably, he graduated with top honors in multiple programs, including his Ph.D. and Master’s degrees. He received the “110/110 cum Laude” grade for his Postgraduate Course in Psychopedagogy and Didactics for Specific Learning Disorders. He has also contributed to various scientific publications that have been widely recognized within the research community, showcasing his significant impact in the field of engineering.
Top-Noted Publication
One of Filippo’s most notable publications is “Evaluating Support Vector Machines for Path Loss Estimation on Urban Environments,” presented at the 19th Italian Workshop on Neural Networks in 2009. This work, which explored the application of machine learning algorithms to electromagnetic signal propagation, received widespread recognition for its innovative approach. His other influential works include contributions to studies on non-destructive testing and the modeling of electromagnetic wave propagation, which have enhanced the understanding of environmental and engineering systems.
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Integration of LSTM and U-Net Models for Monitoring Electrical Absorption with a System of Sensors and Electronic Circuits
IEEE Transactions on Instrumentation and Measurement | 2025
DOI: 10.1109/TIM.2025.3573363
Contributors: Danilo Pratticò, Filippo Laganà, Giuseppe Oliva, Antonino S. Fiorillo, Salvatore Andrea Pullano, Salvatore Calcagno, Domenico De Carlo, Fabio La Foresta
This paper presents an innovative approach by combining Long Short-Term Memory (LSTM) and U-Net deep learning models for the effective monitoring of electrical absorption in systems equipped with sensors and electronic circuits. The hybrid model provides significant advancements in real-time monitoring and prediction, demonstrating high accuracy and efficiency. -
FEM-Based Modelling and AI-Enhanced Monitoring System for Upper Limb Rehabilitation
Electronics | 2025-05-31
DOI: 10.3390/electronics14112268
Contributors: Filippo Laganà, Diego Pellicanò, Mariangela Arruzzo, Danilo Pratticò, Salvatore A. Pullano, Antonino S. Fiorillo
This article focuses on a FEM-based (Finite Element Method) model combined with AI techniques to enhance the monitoring system for upper limb rehabilitation. It emphasizes the integration of smart technology to improve the rehabilitation process for patients, combining biomechanics with real-time AI-based analysis. -
MEMS and IoT in HAR: Effective Monitoring for the Health of Older People
Applied Sciences | 2025-04-14
DOI: 10.3390/app15084306
Contributors: Luigi Bibbò, Giovanni Angiulli, Filippo Laganà, Danilo Pratticò, Francesco Cotroneo, Fabio La Foresta, Mario Versaci
This publication highlights the use of Micro-Electromechanical Systems (MEMS) and the Internet of Things (IoT) for Health and Activity Recognition (HAR) to monitor the health of elderly individuals. The research explores advanced technologies aimed at improving health monitoring and early detection of potential health issues in older populations. -
Smart Electronic Device-Based Monitoring of SAR and Temperature Variations in Indoor Human Tissue Interaction
Applied Sciences | 2025-02-25
DOI: 10.3390/app15052439
Contributors: Filippo Laganà, Luigi Bibbò, Salvatore Calcagno, Domenico De Carlo, Salvatore A. Pullano, Danilo Pratticò, Giovanni Angiulli
This study examines the use of smart electronic devices to monitor Specific Absorption Rate (SAR) and temperature variations within human tissue during indoor interactions. It contributes to the safety and effectiveness of electronic device usage, particularly for medical and wellness applications. -
A Soft Computing Approach for Sensory Analysis with Thermographic Techniques for Structural Monitoring of Bronze Statues
Book Chapter | 2024
DOI: 10.1007/978-3-031-74716-8_16
Contributors: Danilo Pratticò, Salvatore Calcagno, Fabio Gattuso, Filippo Laganà, Giuseppe Oliva, Salvatore A. Pullano, Fabio La Foresta
This book chapter explores the integration of soft computing and thermographic techniques to monitor the structural integrity of bronze statues. It offers an innovative solution for cultural heritage preservation, using sensory and computational methods to detect degradation and potential risks to the statues.
Strengths for the Best Innovator Award
Filippo Laganà stands out as a leading innovator in the fields of biomedical and environmental engineering, with a robust track record of groundbreaking contributions. His multidisciplinary expertise, spanning digital electronics, biomedical measurements, and environmental engineering, provides him with a unique ability to develop innovative solutions across multiple domains. Here are some key strengths that make him an exceptional candidate for the Best Innovator Award:
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Cutting-Edge Research and Technology Development
Filippo has consistently pushed the boundaries of scientific and technological innovation, particularly in the development of biomedical sensors and advanced monitoring systems. His pioneering work on integrating LSTM and U-Net models for real-time monitoring of electrical absorption is a prime example of how he leverages state-of-the-art machine learning techniques to enhance the effectiveness of sensor systems. This hybrid model has already demonstrated considerable improvements in accuracy and efficiency, significantly advancing the field of electrical absorption monitoring. -
Interdisciplinary Expertise
With a solid academic background and experience in industrial engineering, environmental acoustics, and signal processing, Filippo approaches problems from a wide-ranging perspective. His work in environmental monitoring—ranging from MEMS-based systems to electromagnetic wave propagation—has enhanced both safety and efficiency in real-world applications, from healthcare to public health. His understanding of both biomedical and environmental engineering allows him to innovate in contexts that require cross-disciplinary knowledge and integration. -
Impactful Publications and Research
Filippo has published multiple high-impact research articles, including his recent contributions to IEEE Transactions on Instrumentation and Measurement and Applied Sciences. His research on AI-enhanced systems for upper limb rehabilitation, MEMS for elderly health monitoring, and SAR and temperature variations in human tissue interaction demonstrates his ability to develop systems with immediate real-world applications. These studies contribute not only to academic knowledge but also to practical solutions that have the potential to revolutionize healthcare and public safety. -
Commitment to Advancing Healthcare and Environmental Safety
A key strength lies in Filippo’s ability to solve pressing societal problems. His work in healthcare technology, particularly in biopotential acquisition for ECG, ICG, and EMG, aims to improve diagnostic capabilities in clinical settings. Similarly, his research in environmental acoustics and non-destructive testing helps preserve cultural heritage while also ensuring public health safety. His holistic approach places significant emphasis on human well-being and safety in both medical and environmental contexts. -
Leadership in Education and Mentorship
As a lecturer at the University Magna Graecia of Catanzaro, Filippo has not only contributed to the academic community but also mentored the next generation of engineers. His role in teaching and guiding students in digital electronics and biomedical measurements reflects his deep commitment to advancing education and fostering innovation through mentorship. -
Global Influence and Networking
Filippo’s active involvement in academic networks, such as ResearchGate and Google Scholar, as well as his collaboration with a wide range of engineers and researchers across the globe, ensures that his work reaches a diverse audience. His ability to network and collaborate on interdisciplinary projects contributes to the global dissemination of innovative ideas and solutions. -
Awards and Academic Excellence
Filippo’s academic achievements, including his “110/110 cum Laude” graduation in psychopedagogy and his top honors in biomedical engineering, highlight his consistent pursuit of excellence. These accolades underscore his dedication to rigorous scientific exploration, innovative thinking, and educational impact.