Deild:  


Marco Recenti, Nýdoktor
Deild:Tæknisvið / Tölvunarfræðideild 
Aðsetur:Er á heilbrigðistæknisetri 
Sími: 
Netfang:marcorru.is 
Vefur:https://www.ru.is/haskolinn/starfsfolk/marcor
https://scholar.google.com/citations?user=fnMa2N4A
https://www.linkedin.com/in/marco-recenti-2303aba4

Ferilskrá

Marco RECENTI, PhD

Post-Doc Researcher & Teacher

Digital Health & Biomedical Engineering 

Experience

POST-DOC REASEARCHER AND TEACHER | REYKJAVIK UNIVERSITY - ICELAND | APR 2023 - PRESENT

·       Main teacher of the courses “Application of Digital Health” and “Digital Transformation of Medical Images” in the Master Program in “Digital Health”

·       Researcher in Biomedical and Digital Health Engineering

·       Supervision of Digital Health and Biomedical Engineering Master Students 

·       Supervision of Curricular Internships for the Master Program in “Digital Health”

·       Co-supervision of PhD Candidate in Biomedical Engineering

PHD CANDIDATE | REYKJAVIK UNIVERSITY - ICELAND | JAN 2020 – MAR 2023 

·       PhD research project on Artificial Intelligence for Advanced Diagnostics using medical imaging and biomedical signals for Sarcopenia, Gait and Postural Control Studies

VISITING PHD STUDENT | CHONNAM NATIONAL UNIVERSITY – YEOSU – SOUTH KOREA | MAY 2022 – OCT 2022

·       Exchange period working on a Gait Database in collaboration with the Engineering Department at Chonnam National University and the Seoul National University Hospital 

RESEARCHER | REYKJAVIK UNIVERSITY - ICELAND | MAY 2019 – DEC 2019

·       Machine Learning Analysis and Database development in the RESTORE European Founded Project on Knee Cartilage Degeneration assessment 

Education

PHD IN BIOMEDICAL ENGINEERING | MAR 2023 | REYKJAVIK UNIVERSITY - ICELAND

·       PhD thesis: “Advancing Clinical Evaluation and Diagnostics with Artificial Intelligence Technologies” - Institute of Biomedical and Neural Engineering, Reykjavik University

MASTER’S DEGREE IN INFORMATION AND COMMUNICATION TECHOLOGIES ENGINEERING | APR 2019 | POLYTECHNIC UNIVERSITY OF TORINO - ITALY

·       Master thesis: “Machine Learning Predictive System Based on Transaxial -Mid-Femur Computed Tomography Images” - Institute of Biomedical and Neural Engineering, Reykjavik University

BACHELOR’S DEGREE IN TELECOMMUNICATION ENGINEERING | JUL 2016 | POLYTECHNIC UNIVERSITY OF TORINO - ITALY

·       Thesis Project: “Software Defined Networking (SDN): Introduction to SDN Architecture, Open-Source Products and SDN Security Challenges” done in collaboration with Istituto Superiore degli Studi “Mario Boella” - Torino

Scientific Awards

·       Best PhD Contribution at 2022 IEEE METROXRAINE Conference, Rome, Italy, for the paper “Predicting Lifestyle Using BioVRSea Multi-Biometric Paradigms”

More Information 

•       Editorial Board Member: Bioengineering Online, Gait & Posture

•       Reviewer experience with the following journals: Scientific Report, International Journal of Human-Computer Interaction, Bio-Medical Engineering Online, Biomedical Signal Processing and Control, Frontiers in Bioengineering and Biotechnology, Frontiers in Public Health, BMC Medical Imaging, BMC Medical Research Methodology, Optical and Quantum Electronics, Mathematical Biosciences and Engineering, Sensors, Journal of Cancer Research and Clinical Oncology, Diagnostics, BMC Geriatrics, Medical Engineering and Physics, IEEE access, PLOS ONE

•       Scientific Committee member and Special Session Chair at 2024 IEEE METROXRAINE Conference, St. Albans, UK 

•       Special Session Chair at 16th International Symposium for Aging, October 2022, Gwangju, South Korea 

•       Examiner – MSc Biomedical Engineering Thesis – Department of Engineering, Reykjavik University 

Kennsluferill í HR

2025-1T-706-AOHIAnalyzing and Optimizing Health Informatics through Practice
2024-3T-712-MADHApplications of Digital Health
2024-3T-810-MTPRMSc Thesis (30 ECTS)
2024-3T-830-MSTRMSc Thesis - Part I
2024-3T-835-MTRHMSc Thesis - Part II
2024-1T-706-AOHIAnalyzing and Optimizing Health Informatics through Practice
2024-1T-845-DTMIDigital Transformation of Medical Imaging
2023-3T-712-MADHApplications of Digital Health
Meira...

Útgáfur

Scientific Publications – Journals and Conferences

Updated full list available at: https://scholar.google.com/citations?user=fnMa2N4AAAAJ&hl=en

  •  Recenti, M., Ricciardi, C., Aubonnet, R., Picone, I., Jacob, D., Svansson, H. Á., ... & Gargiulo, P. (2021). Toward predicting motion sickness using virtual reality and a moving platform assessing brain, muscles, and heart signals. Frontiers in Bioengineering and Biotechnology, 9, 132.
  •  Recenti, M., Ricciardi, C., Edmunds, K. J., Gislason, M. K., Sigurdsson, S., Carraro, U., & Gargiulo, P. (2020). Healthy aging within an image: using muscle radiodensitometry and lifestyle factors to predict diabetes and hypertension. IEEE Journal of Biomedical and Health Informatics, 25(6), 2103-2112 
  • Recenti, M., Ricciardi, C., Monet, A., Jacob, D., Ramos, J., Gìslason, M., ... & Gargiulo, P. (2021). Predicting body mass index and isometric leg strength using soft tissue distributions from computed tomography scans. Health and Technology, 11(1), 239-249.
  • Recenti, M., Gargiulo, P., Chang, M., Ko, S. B., Kim, T. J., & Ko, S. U. (2023). Predicting stroke, neurological and movement disorders using single and dual-task gait in Korean older population. Gait & Posture, 105, 92-98. 
  • Recenti, M., Pescaglia, F., Guerrini, L., Maruotto, I., Gelormini, C., Jacob, D., ... & Gargiulo, P. (2024, October). New Frontiers in Postural Control and Motion Sickness Assessment: The BioVRSea Paradigm. In 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (pp. 1034-1039). IEEE.
  • Recenti, M., Ricciardi, C., Ponsiglione, A. M., Amato, F., Gislason, M. K., Chang, M., & Gargiulo, P. (2024, October). Unveiling CT-Scan Radiodensity Leg Asymmetry Impact on Common Aging Comorbidities. In 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (pp. 1028-1033). IEEE.
  • Recenti, M. (2023). Advancing clinical evaluation and diagnostics with artificial intelligence technologies. PhD Thesis, Reykjavik University
  • Recenti, M., Ricciardi, C., Edmunds, K., Jacob, D., Gambacorta, M., & Gargiulo, P. (2021). Testing soft tissue radiodensity parameters interplay with age and self-reported physical activity. European journal of translational myology, 31(3).
  • Recenti, M., Ricciardi, C., Aubonnet, R., Esposito, L., Jónsson, H., & Gargiulo, P. (2020, June). A regression approach to assess bone mineral density of patients undergoing total hip arthroplasty through gait analysis. In 2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (pp. 1-6). IEEE.
  • Recenti, M., Ricciardi, C., Edmunds, K., Gislason, M. K., & Gargiulo, P. (2020). Machine learning predictive system based upon radiodensitometric distributions from mid-thigh CT images. European Journal of Translational Myology, 30(1).
  • Recenti, M., Jacob, D., Aubonnet, R., Burgunder, B., i Escalona, I. M., Gunnarsson, A. E., ... & Gargiulo, P. (2022,October). Predicting lifestyle using BioVRSea multi-biometric paradigms. In 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (pp. 329-334).
  • Recenti, M., Guerrini, L., Lindemann, A., Pierucci, S., Ricciardi, C., Ponsiglione, A. M., ... & Gargiulo, P. (2023, October). Heart Rate Variability During a Complex Postural Control Task with the BioVRSea Paradigm. In 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)(pp. 876-881). IEEE.
  • Recenti, M., Gìslason, M. K., Edmunds, K. J., & Gargiulo, P. (2020). Aging health behind an image: Quantifying sarcopenia and associated risk factors from advanced CT analysis and machine learning technologies. In Computer Methods, Imaging and Visualization in Biomechanics and Biomedical Engineering: Selected Papers from the 16th International Symposium CMBBE and 4th Conference on Imaging and Visualization, August 14-16, 2019, New York City, USA (pp. 188-197). Springer International Publishing.
  • Recenti, M., Ricciardi, C., Gìslason, M., Edmunds, K., Carraro, U., & Gargiulo, P. (2020). Machine learning algorithms predict body mass index using nonlinear trimodal regression analysis from computed tomography scans. In XV Mediterranean Conference on Medical and Biological Engineering and Computing–MEDICON 2019: Proceedings of MEDICON 2019, September 26-28, 2019, Coimbra, Portugal (pp. 839-846).
  • Ricciardi, C., Ponsiglione, A. M., Recenti, M., Amato, F., Gislason, M. K., Chang, M., & Gargiulo, P. (2023). Development of soft tissue asymmetry indicators to characterize aging and functional mobility. Frontiers in Bioengineering and Biotechnology, 11, 1282024.
  • Aubonnet, R., Ramos, J., Recenti, M., Jacob, D., Ciliberti, F., Guerrini, L., ... & Gargiulo, P. (2023). Toward new assessment of knee cartilage degeneration. Cartilage, 14(3), 351-374.
  • Ciliberti, F. K., Guerrini, L., Gunnarsson, A. E., Recenti, M., Jacob, D., Cangiano, V., ... & Aubonnet, R. (2022). CT-and MRI-based 3D reconstruction of knee joint to assess cartilage and bone. Diagnostics, 12(2), 279.
  • Jacob, D., Unnsteinsdóttir Kristensen, I. S., Aubonnet, R., Recenti, M., Donisi, L., Ricciardi, C., ... & Gargiulo, P. (2022). Towards defining biomarkers to evaluate concussions using virtual reality and a moving platform (BioVRSea). Scientific reports, 12(1), 8996.
  • Ricciardi, C., Jónsson Jr, H., Jacob, D., Improta, G., Recenti, M., Gíslason, M. K., ... & Gargiulo, P. (2020). Improving prosthetic selection and predicting BMD from biometric measurements in patients receiving total hip arthroplasty. Diagnostics, 10(10), 815.
  • Stehle, S. A., Aubonnet, R., Hassan, M., Recenti, M., Jacob, D., Petersen, H., & Gargiulo, P. (2022). Predicting postural control adaptation measuring EEG, EMG, and center of pressure changes: BioVRSea paradigm. Frontiers in Human Neuroscience, 16, 1038976.
  • Jacob, D., Aubonnet, R., Recenti, M., Audardottir, S. A., Ivarsdottir, T. I., Burgunder, B., ... & Gargiulo, P. (2023). Assessing early-stage Parkinson´s Disease using a moving platform (BioVRSea). European Journal of Translational Myology, 33(2).
  • Ricciardi, C., Ponsiglione, A. M., Recenti, M., Amato, F., & Gargiulo, P. (2023). Interplay between the age and the asymmetry of NTRA in elderly people. European Journal of Translational Myology, 33(2).
  • Ciliberti, F. K., Aubonnet, R., Ramos, J., Recenti, M., Jacob, D., Guerrini, L., ... & Gargiulo, P. (2023). Novel strategies for cartilage assessment, interplay between bone and muscles. European Journal of Translational Myology, 33(2).
  • Ciliberti, F. K., Cesarelli, G., Guerrini, L., Gunnarsson, A. E., Forni, R., Aubonnet, R., Recenti, M. & Gargiulo, P. (2022). The role of bone mineral density and cartilage volume to predict knee cartilage degeneration. European Journal of Translational Myology, 32(2).
  • Santoriello, V., Guerrini, L., Pescaglia, F., Recenti, M., Maruotto, I., Gelormini, C., ... & Gargiulo, P. (2024, November). New Paradigm in Postural Control Response: A Dual Approach Using Center of Pressure and Electroencephalography. In 2024 E-Health and Bioengineering Conference (EHB) (pp. 1-6). IEEE.
  • Gelormini, C., Guerrini, L., Pescaglia, F., Edmunds, K. J., Aubonnet, R., Recenti, M., ... & Gargiulo, P. (2024, October). Changes in EEG Spectral Power Elicited During Visual and Motor Stimuli with the BioVRSea Paradigm. In 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)(pp. 417-422). IEEE.
  • Jacob, D., Aubonnet, R., Recenti, M., Audardottir, S. A., Ivarsdottir, T. I., Burgunder, B., ... & Gargiulo, P. (2022, October). Assessing early-stage parkinson’s disease using biovrsea. In 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (pp. 271-276)