Vincenzo Dentamaro earned a Ph.D. cum laude in Computer Science and Mathematics from the University of Bari Aldo Moro in 2022. He obtained a second level degree (MSCS) in Computer Science with a specialization in Machine Learning from the Georgia Institute of Technology, and a bachelor’s degree in Computer Science and Software Production Technologies from the University of Bari.

In the academic field, Dentamaro has taught various courses and seminars, including doctoral courses on artificial intelligence applied to healthcare security at Campus Biomedico Roma and PhD in Computer Science and Mathematics of University of Bari, as well as cross-disciplinary skills course on artificial intelligence and machine learning at the University of Bari.

• Dentamaro is currently supervising Dr. Alessia Monaco in the National Ph.D. program on Articial Intelligence, Campus Biomedico of Rome XXXIX cycle.

Courses Taught in Doctorate Degree Programs:

• Doctoral course titled “Symbiotic AI: Case studies in challenging domains”, PhD in Computer Science and Mathematics from University of Bari Aldo Moro. Period November-December 2023, 32 hours.
• Doctoral course titled “Behavioral biometrics for healthcare, security and related fields” National Doctoral Course in Artificial Intelligence, Campus Biomedico of Rome. April-May 2023 for a total of 15 hours.
• Doctoral course titled “Behavioral biometrics for healthcare, security and related fields 2nd edition”  National Doctoral Course in Artificial Intelligence, Campus Biomedico of Rome. April-May 2024 for a total of 15 hours.

Courses Taught in Degree Programs

• Transversal skills course “Foundations of artificial intelligence and machine learning: developing the potential of healthcare professionals”, 4 CFU, University of Bari Aldo Moro, Department of Computer Science. 121 students. Period January-February 2024 for a total of 32 hours.
• Transversal skills course for PhD students and specialists “AI Beyond the code: transversal skills with artificial intelligence” 8 hours
• Teaching Module “Arduino and Scratch4Arduino” in the transversal skills course titled: “Computational Thinking: Arduino and Scratch4Arduino”. Department of Computer Science, University of Bari. Period April-June 2022 for a total of 12 hours.
• Teaching of the module “The use of Big Data in Healthcare” within the II level Master’s program “Economics and Management of Healthcare Companies” offered by the University of Bari Aldo Moro, May 17, 2024. 4 hours
• Teaching Support for “Programming”, Department of Computer Science, University of Bari Aldo Moro, 12 CFU, 45 hours academic years 2019-2020 and 2020-2021
• Teaching Support for “Programming Laboratory”, Department of Computer Science, University of Bari Aldo Moro, 35 hours academic years 2019-2020 and 2020-2021

The participation and collaboration on research activities with groups characterized by international collaborations is very wide, the most recent salient collaborations are reported below.

• CNR-STIIMA, Dr. Tiziana D’Orazio. The collaboration has as its object the research of computer vision techniques for the analysis of the gait of individuals. The collaboration took the form of a joint project and publications. Dr. D’Orazio’s group is characterized by numerous international collaborations. The collaboration resulted in the published article ‘Human gait analysis in neurodegenerative diseases: A review’: 2019-2021
• STANFORD – Biomechanics Dept. Stanford, California, USA, Dr. Melissa Boswell and Prof. Scott Delp. The collaboration has as its object the development of an Android app for the recognition of pathological patterns in walking and in carrying out the 5 times sit-to-stand test. 2022-ongoing
• SYNCHROMEDIA-ETS Montreal, Prof. Mohamed Cheriet and Dr. Mohammad Hamdan. The collaboration focuses on research on neurodegenerative diseases using advanced deep learning and artificial intelligence techniques. The collaboration resulted in the published article entitled ‘Multi-speed transformer network for neurodegenerative disease assessment and activity recognition’ 2022-2023
• McGill University Montreal, Dr. Mah Parsa. The collaboration focuses on the research of multimodal methods for the diagnosis of neurodegenerative diseases and dementias. Collaboration that has led to the joint organization of the Worskhop Ai4Alzheimer, of an article entitled ‘AI and Non AI Assessments for Dementia’ and which is leading to the writing of a work on neurodegenerative diseases. 2022-ongoing.
• Campus Biomedico of Rome and Rome Tor Vergata, Collaboration with Prof. Michea Piredda of Cmapus Biomedico and Dr. Sblendorio Elena, Dr. Lo Cascio Alessio and Dr. Germini Francesco of Rome Tor Vergata regarding the use of artificial intelligence in clinical settings 2023-ongoing. Collaboration in progress and so far formalized in the article: Integrating human expertise & automated methods for a dynamic and multi-parametric evaluation of large language models’ feasibility in clinical decision-making, published in the International Journal of Medical Informatics, 105501.

Dentamaro has received numerous national and international awards and recognitions. Among these, the Huawei University Challenge Italy 2021 in the Embedded AI category for the project “AUCO ResNet for Covid-19,” which improved the diagnosis of Covid-19 through radiological images. Nextome was recognized as the “Most Awesome Alpha Startup” in Dublin in 2014, and Dentamaro received the “Indoor Positioning Expert” award at the Place Conference in New York in 2015. He also won the first prize at the Busan Smart City Innovator in South Korea in 2016 and the “Global Innovator Expert” recognition at the IBM Glovators for Smart Cities in Barcelona in the same year. Additionally, he received an honorable mention at the Premio Industria Felix in 2016 for entrepreneurial excellence demonstrated in Puglia.

Dentamaro is associate editor for the journal “Multidimensional Systems and Signal Processing” by Springer Nature and has contributed as a guest editor for special issues of scientific journals.
He is also reviewer for prestigious international journals and conferences, including Elsevier Pattern Recognition and IEEE Transactions journals.

He has published numerous articles in high-impact international journals such as IEEE Transactions on Neural Networks and Learning Systems, Pattern Recognition, IEEE Transactions of Forensics and Security, Expert Systems with Applications, IEEE JBHI, and many others. His research topics span from artificial intelligence applied to healthcare, cybersecurity, and big data analysis. His work has been presented at major international conferences, significantly contributing to the advancement of knowledge in his field.