Fulvio Mastrogiovanni | Computer Science | Best Researcher Award

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Prof. Dr. Fulvio Mastrogiovanni | Computer Science | Best Researcher Award

University of Genoa | Italy

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Early Academic Pursuits 🎓

Prof. Dr. Fulvio Mastrogiovanni embarked on his academic journey with a strong foundation in engineering and robotics. He earned his Laurea Degree in Computer Engineering from the University of Genoa, Italy, in 2003, demonstrating exceptional promise with a final grade of 108/100. His thirst for knowledge led him to pursue a PhD in Bioengineering, Materials Science, and Robotics at the same university, which he successfully completed in 2008. His doctoral research set the stage for a future dedicated to advancing artificial intelligence (AI) and robotics.

Professional Endeavors 🏛️

A distinguished academic, Prof. Mastrogiovanni has built an illustrious career spanning multiple prestigious institutions worldwide. Since 2018, he has served as an Associate Professor at the University of Genoa, Italy. His scholarly journey includes visiting professorships at esteemed institutions such as Shanghai Polytechnic University, Keio University, and the Japan Advanced Institute of Science and Technology. His contributions extend beyond academia, having played key roles in international robotics programs, including Erasmus Mundus and JEMARO. Additionally, he has been a driving force in the Digital Innovation Hub – Liguria, leveraging technology for societal advancements.

Contributions and Research Focus 🔬

Prof. Mastrogiovanni's research lies at the intersection of AI and robotics, emphasizing human-robot interaction and cognitive robotics. His work in "embodied Artificial Intelligence" seeks to integrate AI-driven cognitive architectures, perception models, and semantic data processing techniques to enhance robotic autonomy and intelligence. He has pioneered efforts in developing cognitive robotic systems that seamlessly interact with humans, revolutionizing the way robots perceive and respond to their environment. His research projects, such as ROBOSKIN and InDex, have significantly contributed to the evolution of robotic intelligence and machine cognition.

Accolades and Recognition 🏆

His excellence has been recognized through numerous prestigious awards. He was honored with the National Award by Associazione Nazionale Giovani Innovatori in 2021 and has received multiple Best Paper Awards at IEEE and international robotics conferences. His groundbreaking work has earned him invitations to deliver keynote talks at global AI and robotics symposiums, solidifying his reputation as a thought leader in the field.

Impact and Influence 🌍

With over 229 publications, including journal articles, conference papers, book chapters, and patents, Prof. Mastrogiovanni has made a profound impact on the scientific community. His research has amassed over 3,352 citations with an h-index of 32 on Google Scholar. His collaborations with international universities and research institutions have fostered global advancements in robotics, influencing both academic discourse and industrial applications.

Legacy and Future Contributions 🚀

As a mentor, Prof. Mastrogiovanni has supervised numerous PhD and MSc students, shaping the next generation of robotics and AI experts. His leadership roles in major research consortia and technology transfer initiatives underscore his commitment to bridging academic research with real-world applications. Moving forward, he aims to push the boundaries of AI-driven robotics, particularly in medical robotics, cognitive architectures, and autonomous systems. His visionary work continues to redefine human-robot interaction, making significant strides towards an AI-empowered future.

 

Publications

  • 📄 A Novel Method to Compute the Contact Surface Area Between an Organ and Cancer Tissue

    • Authors: Alessandra Bulanti, Alessandro Carfì, Paolo Traverso, Carlo Terrone, Fulvio Mastrogiovanni
    • Journal: Journal of Imaging
    • Year: 2025

  • 📄 A Systematic Review on Custom Data Gloves

    • Authors: Valerio Belcamino, Alessandro Carfì, Fulvio Mastrogiovanni
    • Journal: IEEE Transactions on Human-Machine Systems
    • Year: 2024

  • 📄 Enhancing Machine Learning Thermobarometry for Clinopyroxene-Bearing Magmas

    • Authors: Mónica Ágreda-López, Valerio Parodi, Alessandro Musu, Diego Perugini, Maurizio Petrelli
    • Journal: Computers and Geosciences
    • Year: 2024

  • 📄 Digital Workflow for Printability and Prefabrication Checking in Robotic Construction 3D Printing Based on Artificial Intelligence Planning

    • Authors: Erfan Shojaei Barjuei, Alessio Capitanelli, Riccardo Bertolucci, Fulvio Mastrogiovanni, Marco Maratea
    • Journal: Engineering Applications of Artificial Intelligence
    • Year: 2024

  • 📄 A Hierarchical Sensorimotor Control Framework for Human-in-the-Loop Robotic Hands

    • Authors: Lucia Seminara, Strahinja Dosen, Fulvio Mastrogiovanni, Matteo Bianchi, Simon Watt, Philipp Beckerle, Thrishantha Nanayakkara, Knut Drewing, Alessandro Moscatelli, Roberta L. Klatzky, et al.
    • Journal: Science Robotics
    • Year: 2023

 

Xiaoli Wu | Engineering | Editorial Board Member

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Prof. Xiaoli Wu | Engineering | Editorial Board Member

Nanjing University of Science and Technology | China

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🌟 Early Academic Pursuits

Dr. Xiaoli Wu embarked on her academic journey with a Bachelor's degree in Industrial Design from Shaanxi University of Science & Technology in 2003. Her strong aptitude for design and engineering led her to pursue a Master's in Mechanical Design and Theory, also at Shaanxi University. She further honed her expertise with a Ph.D. in Mechanical Engineering from Southeast University, focusing on Human-Computer Interaction. This robust academic foundation equipped her with the multidisciplinary knowledge required for her groundbreaking research in human-computer interaction and intelligent design systems.

🚀 Professional Endeavors: An International Journey

Dr. Wu's professional career spans continents and disciplines. She began as an Assistant Lecturer at Hohai University, steadily rising to the rank of Professor in 2019. Her international experience includes roles as a Research Scholar at the Australian National University, Academic Visiting Professor at UCL Interaction Centre, and the University of Birmingham's School of Computer Science. Currently, she is a Professor in the Department of Industrial Design at Nanjing University of Science & Technology, where she also serves as Dean of the Research Centre for Human Factors and Intelligent Interaction. Her extensive teaching portfolio includes subjects like Design Cognition and Ergonomics.

📚 Contributions and Research Focus

Dr. Wu’s research focuses on human factors in design, information visualization in human-machine systems, and intelligent interaction. She has significantly contributed to understanding visual cognition mechanisms, error factors in task interfaces, and design optimization in intelligent manufacturing. Her books, including Human Computer Interaction in Intelligent Manufacturing and Design and Cognition, are seminal texts in her field. As an editor and reviewer for top journals, she continues to shape the academic discourse in human-computer interaction and cognitive ergonomics.

🏆 Accolades and Recognition

Dr. Wu's contributions have been recognized with numerous awards, including the prestigious “333” High-level Scholars of Jiangsu Province and multiple grants from the National Natural Science Foundation of China. Her research projects, often supported by substantial funding, focus on cutting-edge topics like multi-modal information flow and intelligent manufacturing. Her achievements underscore her reputation as a leader in ergonomic design and human-computer interaction research.

🌍 Impact and Influence

Dr. Wu’s work bridges academic innovation and practical application, impacting industries ranging from manufacturing to digital media. As Executive Director of the Chinese Ergonomics Society and a key member of other professional organizations, she influences national and international standards in design and human-machine systems. Her teaching and mentorship have shaped the next generation of designers and engineers, ensuring her expertise ripples across fields and disciplines.

🌟 Legacy and Future Contributions

With a career marked by innovation and international collaboration, Dr. Wu’s legacy is one of advancing the frontiers of intelligent design and interaction systems. Her ongoing projects, such as the design of real-time monitoring systems in intelligent manufacturing, promise to redefine human-computer interaction. Her future contributions, bolstered by her upcoming publications, will undoubtedly continue to inspire and drive progress in her field. Dr. Wu’s work ensures a more ergonomic and user-centered technological future.

 

Publications

📔Research on similarity bias in dual objective visual search based on nuclear power human-machine interface icons
Author(s): He, Y., Wu, X., Yang, X., Zhou, J., Yu, D.
Journal: International Journal of Industrial Ergonomics
Year:2024

📔Cognitive evaluation based on regression and eye-tracking for layout on human–computer multi-interface
Author(s): Wang, L., Tang, W., Montagu, E., Wu, X., Xue, C.
Journal: Behaviour and Information Technology
Year:2024

📔Effective factors of icons searching performance based on visual attention capture for the nuclear power plants
Author(s): Wu, X., Zhou, C., He, Y., Li, Q., Yu, S.
Journal: Journal of the Society for Information Display
Year:2023

📔Study on the correlation and inhibition of visual marking and industrial icons
Author(s): Wu, X., Zhang, K., Fang, Z., Wang, X., Li, Q.
Journal: Displays
Year: 2023

📔How information within the perceptual span guides visual search and aids perception
Author(s): Chen, Y., Liao, C., Wu, X., Fang, Z., Zhang, L.
Journal: Displays
Year: 2023