Researcher, University of Rome “Foro Italico”, Italy 🏅
Paolo Brasiliano is a dedicated researcher at the University of Rome “Foro Italico,” specializing in biomechanics and gait analysis. He earned his PhD in Human Movement and Sport Sciences, focusing on multi-segment foot modeling and clinical gait evaluations. His post-doctoral research involves machine learning applications for neurological gait disorders and validating radar-based gait assessment systems. Through his work, Paolo has contributed significantly to neurorehabilitation by improving non-invasive movement analysis. His passion for biomechanics and artificial intelligence continues to drive advancements in clinical gait assessments and rehabilitation techniques.
Profile
Orcid
Education 🎓
Paolo Brasiliano holds a PhD in Human Movement and Sport Sciences from the University of Rome “Foro Italico” (2023), where he analyzed ankle function and clinical evaluations in children with Idiopathic Toe Walking. He completed his Master’s degree in Health and Physical Activity (2019) and Bachelor’s degree in Sport Science (2017) at the same institution, graduating with top honors. His research has focused on neuromechanical analysis, gait termination, and temperature regulation during exercise. With a strong foundation in biomechanics and movement sciences, he has developed expertise in gait analysis, wearable sensor technologies, and machine learning applications.
Experience 🏛️
Paolo Brasiliano is currently engaged in post-doctoral research, validating a radar-based system for gait analysis using neural networks. His previous research included machine learning applications for distinguishing between neurological conditions such as Parkinson’s, Multiple Sclerosis, Traumatic Brain Injury, and Stroke. His PhD research involved multi-segment foot modeling, assessing foot orthoses’ impact, and analyzing gait biomechanics in children with idiopathic toe walking. With experience in motion capture, wearable sensor technology, and computational modeling, he has significantly contributed to the field of gait analysis and neurorehabilitation.
Research Interests 🔬
Paolo’s research focuses on biomechanics, gait analysis, and neuromechanics, with an emphasis on wearable sensor-based movement assessment. He has explored multi-segment foot modeling, ankle function analysis, and gait feature extraction in neurological disorders. His expertise extends to machine learning applications in clinical gait assessment, enhancing diagnostic accuracy and rehabilitation strategies. Currently, he is pioneering radar-based gait monitoring using neural networks, improving non-invasive movement tracking for medical applications. His interdisciplinary approach integrates artificial intelligence and biomechanics to advance personalized rehabilitation and mobility assessment in clinical and sports settings.
Awards 🏆
Paolo Brasiliano has been recognized for his contributions to biomechanics and gait analysis, earning academic honors and research accolades. His PhD research on ankle function analysis and innovative methodologies for gait assessment has been widely acknowledged in the scientific community. His machine learning model for neurorehabilitation applications has significantly impacted clinical gait analysis, earning him recognition in international conferences. As a leading researcher in movement science, his work continues to influence clinical practices and rehabilitation technologies, making strides in understanding and improving human movement.
Publications 📚
Brasiliano P., Pavei G., Bergamini E., Smooth Moves: Comparing Log Dimensionless Jerk Metrics from Body Center of Mass Trajectory and Wearable Sensor Acceleration During Walking. Sensors, 2025. Read More
Castiglia S. F., Dal Farra F., Trabassi D., et al., Discriminative ability, responsiveness, and interpretability of smoothness index of gait in people with multiple sclerosis. Archives of Physiotherapy, 2025. Read More
Brasiliano P., Alvini M., Di Stanislao E., et al., Ankle kinematics characterization in children with Idiopathic Toe Walking: does the foot model change the clinical evaluation? Healthcare, 2023. Read More
Brasiliano P., Mascia G., Di Feo P., et al., Impact of Gait Events Identification through Wearable Inertial Sensors on Clinical Gait Analysis of Children with Idiopathic Toe Walking. Micromachines, 2023. Read More
Brasiliano P., Alvini M., Di Stanislao E., et al., Effects of wearing a foot orthosis on ankle function in children with idiopathic toe walking during gait. Heliyon, 2022. Read More
Mascia G., Brasiliano P., Di Feo P., et al., A functional calibration protocol for ankle plantar-dorsiflexion estimate using magnetic and inertial measurement units: Repeatability and reliability assessment. Journal of Biomechanics, 2022. Read More
Rum L., Brasiliano P., Vannozzi G., et al., Non-specific chronic low back pain elicits kinematic and neuromuscular changes in walking and gait termination. Gait & Posture, 2021. Read More
Conclusion
Paolo Brasiliano’s combination of groundbreaking research, technical expertise, and dedication to improving clinical practices makes him a strong candidate for the Best Researcher Award. His innovative use of machine learning and wearable technology in the field of biomechanics is advancing the understanding of gait analysis and neurorehabilitation, which is of tremendous value to both clinical and research communities. He stands out as a researcher committed to meaningful, real-world applications of his work, making him a strong contender for this prestigious award.