Minganti Carlo

Carlo Minganti serves as an Associate Professor in the Department of Human and Health Motor Sciences at the University of Rome 'Foro Italico', with significant institutional responsibilities including:

• Membership in the University Quality Committee
• Service on the Board for the Degree Course in Preventive and Adaptive Motor Activities (LM67)
• Participation in the University Scientific Research Commission

He teaches in both the Bachelor's Degree in Exercise and Sport Sciences (Class L22) and Master's Degree in Sport Science and Technology (Class LM68).

Professor Minganti's research program centers on:

• Training Control and monitoring methodologies
• Sports Performance Evaluation systems
• Statistical data management for sports applications

His work integrates Sports Science, Exercise Physiology, and Biomechanics to address aging-related motor decline, exercise-induced hormonal responses, competition stress biomarkers, and post-injury movement rehabilitation.

Analysis of his 2020-2022 publications reveals a strong interdisciplinary trajectory:

• Rhythmic movement studies in aging populations with complexity-based task design
• Dihydrotestosterone dynamics during maximal aerobic exercise
• Cortisol/amylase stress responses differentiating training versus competition
• Biomechanical alterations in ACL-reconstructed athletes at return-to-sport

These works consistently employ advanced statistical analysis and feature international collaborations.

Scientific awards: None documented in available sources.

As an active educator and researcher, Professor Minganti supervises students through formal degree programs while contributing to institutional research strategy via the Scientific Research Commission. His data-intensive approach provides students with hands-on experience in empirical sports science methodology and statistical analysis. Prospective collaborators should note his expertise in bridging physiological monitoring with performance outcomes.

Though no dedicated laboratory name is specified, his research group operates within the Department of Human and Health Motor Sciences, focusing on empirical projects requiring motion analysis, biomarker collection, and computational data processing in sports contexts.