Prof. Nunzio Alberto Borghese | Computer Science | Best Researcher Award
Full professor at Università degli Studi di MIlano, Italy
Professor N. Alberto Borghese is a renowned researcher in computational intelligence and its application to real-world problems. He graduated magna cum laude in Electrical Engineering from Politecnico di Milan and has held significant academic positions, including Full Professor at the University of Milan. His research focuses on innovative methods such as multi-scale hierarchical neural networks, adaptive clustering, and statistical data processing, with particular emphasis on limited processing time. He has made notable contributions to e-Health and robotics, integrating AI, service robots, virtual communities, and smart objects to improve healthcare and welfare systems. With over 90 journal papers, 140+ conference papers, and 16 international patents, he has a strong academic and industrial impact. He has led several high-profile projects funded by the European Commission and Italian government, including REWIRE, MOVECARE, and AIRCA. His work continues to advance the intersection of AI, robotics, and healthcare, addressing critical societal needs.
Professional Profile
Education
Professor N. Alberto Borghese received his education in Electrical Engineering, graduating magna cum laude in 1986 from Politecnico di Milan, one of Italy’s leading institutions. This strong academic foundation laid the groundwork for his extensive research career. His academic journey furthered through his role as a tenured researcher at the National Research Council (CNR) from 1987 to 2000, where he began developing his expertise in computational intelligence. This led to his appointment as an Associate and later Full Professor at the Department of Computer Science, University of Milan (UNIMI). At UNIMI, he also directs the Laboratory of Applied Intelligent Systems, where he has mentored students and led cutting-edge research projects. Professor Borghese’s education and professional development have been marked by continuous innovation, research leadership, and a commitment to applying his knowledge to real-world challenges, particularly in e-Health, robotics, and AI.
Professional Experience
Research Interest
Professor N. Alberto Borghese’s research interests lie primarily in the field of computational intelligence, focusing on the development and application of advanced algorithms to solve real-world problems. He specializes in multi-scale hierarchical neural networks, adaptive clustering, and statistical data processing, with an emphasis on optimizing solutions for limited processing time. His work extends to the integration of Artificial Intelligence (AI) and robotics, particularly in the domains of e-Health and e-Welfare. Professor Borghese has pioneered the use of service robots, virtual communities, and smart objects, creating innovative platforms that enhance healthcare and welfare systems. His research also explores the intersection of AI with healthcare technologies such as exer-games, aiming to improve accessibility and promote well-being. Additionally, he has a strong focus on interdisciplinary collaboration, leading several European and Italian research projects that combine AI, robotics, and human-centered design to address societal challenges in health, aging, and rehabilitation.
Award and Honor
Professor N. Alberto Borghese has received numerous awards and honors throughout his distinguished academic and research career. His recognition stems from his innovative contributions to computational intelligence, AI, and robotics, particularly in the fields of e-Health and e-Welfare. With over 90 journal papers and 140+ conference papers, his research has garnered widespread acclaim, reflected in his h-index of 42. He has also been honored for his extensive intellectual property contributions, holding 16 international patents. His leadership in research has been recognized through his involvement in high-profile projects funded by the European Commission and Italian government, such as REWIRE (FP7), MOVECARE (H2020), and AIRCA (2023-2025). These honors not only underline his academic excellence but also highlight his impact on advancing technology in healthcare and welfare systems. His continued success in securing major funding and his role in shaping interdisciplinary research make him a highly respected figure in his field.
Conclusion
Based on his exceptional academic qualifications, pioneering research in computational intelligence and e-Health, leadership in high-profile projects, and impressive publication and patent record, N. Alberto Borghese is a highly suitable candidate for the Best Researcher Award. Addressing minor improvements in public engagement and cross-disciplinary impact could further strengthen his candidacy. Nonetheless, his proven expertise and contributions make him a deserving nominee.
Publications Top Noted
- Kinematic determinants of human locomotion
- Authors: N. Alberto Borghese, L. Bianchi, F. Lacquaniti
- Year: 1996
- Citations: 553
- Different brain correlates for watching real and virtual hand actions
- Authors: D. Perani, F. Fazio, N. A. Borghese, M. Tettamanti, S. Ferrari, J. Decety, …
- Year: 2001
- Citations: 402
- Autocalibration of MEMS accelerometers
- Authors: I. Frosio, F. Pedersini, N. A. Borghese
- Year: 2008
- Citations: 261
- Time-varying mechanical behavior of multijointed arm in man
- Authors: F. Lacquaniti, M. Carrozzo, N. A. Borghese
- Year: 1993
- Citations: 202
- Internal models of limb geometry in the control of hand compliance
- Authors: F. Lacquaniti, N. A. Borghese, M. Carrozzo
- Year: 1992
- Citations: 197
- Reading the reading brain: a new meta-analysis of functional imaging data on reading
- Authors: I. Cattinelli, N. A. Borghese, M. Gallucci, E. Paulesu
- Year: 2013
- Citations: 188
- A functional-anatomical model for lipreading
- Authors: E. Paulesu, D. Perani, V. Blasi, G. Silani, N. A. Borghese, U. De Giovanni, …
- Year: 2003
- Citations: 163
- The role of vision in tuning anticipatory motor responses of the limbs
- Authors: F. Lacquaniti
- Year: 1993
- Citations: 151
- Exergaming and rehabilitation: A methodology for the design of effective and safe therapeutic exergames
- Authors: M. Pirovano, E. Surer, R. Mainetti, P. L. Lanzi, N. A. Borghese
- Year: 2016
- Citations: 148
- Self-adaptive games for rehabilitation at home
- Authors: M. Pirovano, R. Mainetti, G. Baud-Bovy, P. L. Lanzi, N. A. Borghese
- Year: 2012
- Citations: 146
- Transient reversal of the stretch reflex in human arm muscles
- Authors: F. Lacquaniti, N. A. Borghese, M. Carrozzo
- Year: 1991
- Citations: 144
- Computational intelligence and game design for effective at-home stroke rehabilitation
- Authors: N. A. Borghese, M. Pirovano, P. L. Lanzi, S. Wüest, E. D. de Bruin
- Year: 2013
- Citations: 139
- Automatic detection of powdery mildew on grapevine leaves by image analysis: Optimal view-angle range to increase the sensitivity
- Authors: R. Oberti, M. Marchi, P. Tirelli, A. Calcante, M. Iriti, A. N. Borghese
- Year: 2014
- Citations: 128
- Usability and effects of an exergame-based balance training program
- Authors: S. Wüest, N. A. Borghese, M. Pirovano, R. Mainetti, R. van de Langenberg, …
- Year: 2014
- Citations: 121
- Pattern recognition in 3D automatic human motion analysis
- Authors: G. Ferrigno, N. A. Borghese, A. Pedotti
- Year: 1990
- Citations: 121