Jlenia Toppi is an Associate Professor at the Department of Computer, Control and Management Engineering, Sapienza University of Rome. With a background in Biomedical Engineering (B.Sc. and M.Sc. summa cum laude from University of Rome, Ph.D. from University of Bologna), she leads research at the Neuroelectrical Imaging and BCI Laboratory, IRCCS Fondazione Santa Lucia, focusing on EEG signal processing, brain connectivity modeling, and graph theory applications in cognitive and clinical neuroscience. Education: B.Sc. Clinical Engineering (2006), M.Sc. Biomedical Engineering (2009), Ph.D. Biomedical Engineering (2013) Awards: IEEE EMBC Student Paper Finalist (2012), Young Bioingegneria Award (2012), IEEE EMBS Best Poster (2011) Her research develops advanced EEG methodologies for brain mapping and dynamic connectivity estimation , applied to disorders of consciousness, stroke rehabilitation, and social neuroscience. She pioneered hyperscanning EEG for interpersonal brain-to-brain analysis and contributed to BCI systems like RECOM and The Promotoer. Recent publications highlight her work on hybrid BCI rehabilitation , muscle synergy extraction , and multi-modal assessment of therapeutic interventions . She serves as editor for Computation and Mathematical Methods in Medicine and collaborates with international projects including Horizon 2020.
Donato Cascio is an Associate Professor in the Department of Physics and Chemistry - Emilio Segrè at the University of Palermo. His research focuses on biomedical engineering, machine learning applications in healthcare, and medical imaging analysis. He teaches physics to students in Dentistry, Veterinary Medicine, and Medicine, with office hours available via Teams. Current position: Associate Professor at University of Palermo (PHYS-06/A) Teaching: Physics for Dentistry, Veterinary Medicine, and Medicine students Research: Machine learning in diagnostics, medical imaging, AI-driven healthcare solutions Dr. Cascio's work spans biomedical applications of artificial intelligence, including AI-assisted cancer diagnosis, neonatal health prediction models, and automated immunofluorescence image analysis. His recent publications demonstrate a strong focus on machine learning for medical decision support and clinical imaging enhancement. His machine learning research trends include applications for breast cancer classification, stem cell donation awareness, and neonatal outcomes prediction. While no specific scientific awards are mentioned, his work has contributed to projects like AIDA (Auto Immunity: Diagnosis Assisted by Computer) and MAGIC-5 mammographic database initiatives.
Giuseppe Raso is a Professor at the University of Palermo , affiliated with the Department of Physics and Chemistry . He specializes in biomedical image processing , radiation physics , and autoimmune disease diagnostics . His work integrates machine learning and semiconductor detector technology for applications in medical imaging and environmental radiation monitoring . Research Interests: Development of AI-driven diagnostic systems for coeliac disease Advanced signal processing techniques for CdZnTe/CdTe radiation detectors Automated analysis of HEp-2 cell immunofluorescence patterns Key Publications span deep learning in biomedical imaging , radiation spectroscopy , and grid infrastructure for medical data analysis .
Giuseppe Sancataldo is a Researcher (PHYS-06/A) in the Physics and Chemistry - Emilio Segrè Department at the University of Palermo, specializing in advanced optical techniques for biomedical and materials research. His work bridges physics, chemistry, and biology with a focus on developing and applying cutting-edge microscopy methods. His research interests center on fluorescence microscopy techniques (particularly light-sheet and FLIM-phasor analysis), amyloid fibril dynamics , liquid-liquid phase separation , and nanomaterial-biological interactions . He develops novel imaging approaches to study water structuring, membrane biophysics, and photocatalytic materials. His instrumentation work includes acousto-optic deflectors for neuroscience applications and low-cost educational tools like smartphone polarimeters. Analyzing his recent publications (2023-2025), key trends emerge: 1) Dominance of light-sheet microscopy for 3D biological imaging (embryos, brain tissues, zebrafish), 2) Pioneering use of FLIM-phasor analysis for amyloid maturation and membrane studies, 3) Strong focus on sustainable materials (cellulose composites, gold nanoparticle hybrids), and 4) Interdisciplinary applications spanning neurodegenerative disease modeling, environmental photocatalysis, and cultural heritage conservation. Sancataldo teaches Error Theory with Laboratory for Physical Sciences students and maintains active research collaborations across biophysics and nanotechnology domains. His office hours are Fridays 3:00-5:00 PM at Building 18, Viale delle Scienze.
Professor Davide Barreca is a full Professor of Biochemistry at the University of Messina, Faculty of Pharmacy, where he has been serving since January 10, 2022. Previously, he was an associate professor (2019-2022) and University Researcher (2011-2019) at the same institution. His academic journey began with a PhD in Advanced Molecular and Cellular Sciences from the University of Messina in 2003. Professor Barreca's research spans macromolecular stabilization processes, enzyme characterization (particularly ornithine carbamoyltransferase), protein folding/unfolding mechanisms, heavy metal pollution effects, and the isolation/characterization of phenolic compounds from Mediterranean products. His work employs advanced techniques including chromatography, electrophoresis, spectroscopy, and mass spectrometry. Recent publications (2024-2025) focus on bioplastics development, ferroptosis mechanisms, plant extracts for health applications, and antimicrobial resistance solutions. His scientific contributions include 224 publications with notable recognition: 2013 selection among Biochimie's top 20 papers, 2014 inclusion in 'Staying Current: Formulation of Biopharmaceuticals,' 2019 INC Award for Avola almond research, and 2019 journal cover features. Professor Barreca serves on multiple editorial boards including as Editor-in-Chief of Mini-Reviews In Medicinal Chemistry and holds leadership roles in international conferences. 2013: Article selected among 20 most outstanding papers in Biochimie 2014: Paper selected for 'Staying Current: Formulation of Biopharmaceuticals' 2019: INC Call for Open Access Studies winner 2019: Two papers selected for journal cover images Professor Barreca actively mentors students through multiple courses including Biochemistry, Applied Biochemistry, and Biochemical Methodologies. His international collaborations include the European Erasmus Mundus project MAGHREB-EMMG, and he serves as a peer reviewer for numerous international journals and research foundations. His work bridges fundamental biochemistry with practical applications in food science, health, and environmental monitoring. His laboratory employs advanced analytical techniques including LC/MS/MS, spectroscopic methods, and cell culture studies with various cell lines. Current research projects focus on bioplastics development, disease mechanism studies, and natural compound applications, providing diverse opportunities for student involvement and interdisciplinary collaboration.
Luca Puce is a Professor and Researcher at the University of Genoa's Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, and Maternal and Child Sciences (DINOGMI). He teaches specialized courses including Adapted Motor and Sports Activities , Sports Sciences and Techniques for the Disabled , and Technical Aspects of Sports Performance in graduate programs focused on adapted physical activity. His research explores neurorehabilitation, sports performance optimization, and technology applications in healthcare. Primary interests include: Stroke rehabilitation and spasticity management Electromyography signal analysis AI-driven exercise prescription Adapted physical activity for neurological disorders Sports biomechanics and performance metrics Recent publications (2025) demonstrate interdisciplinary work spanning neuroimaging, therapeutic adherence, athletic performance enhancement, and machine learning applications in neuroscience. Research consistently integrates clinical practice with technological innovation.
Francesco Tessarolo is an Assistant Professor at the Department of Industrial Engineering , University of Trento , focusing on biocompatibility , biofilm inhibition , and medical device safety . His work bridges material science , clinical microbiology , and healthcare technology development . Teaches Medical devices quality and safety and Robotica in medicina courses Research spans antimicrobial coatings , biofilm prevention , and ambient assisted living technologies Collaborates with researchers like Giandomenico Nollo , Devid Maniglio , and Alessandro Cristoforetti Recent publications include: 2025 studies on blood collection systems and nonlinear microscopy analysis 2024 work on silver-doped plasma and antimicrobial textiles 2023 research on face mask filtration efficiency and dental implant biofilms His technical expertise combines biomechanical testing , microbial diagnostics , and user-centered design for medical applications.
Costantino Grana is a Full Professor at the University of Modena and Reggio Emilia's Enzo Ferrari Department of Engineering, where he teaches Multimedia Data Processing and Fundamentals of Computer Science . His research bridges medical imaging, computer vision, and image processing, with applications ranging from healthcare (nephrology, dermoscopy) to digital preservation of cultural heritage. His core research interests include: Algorithms for connected components and medical image segmentation Content-based search systems for images/videos Deep learning applications in diagnostic imaging 3D reconstruction and analysis of medical/cultural artifacts Recent publications (2025) focus on medical image segmentation, real-time barcode detection, and diagnostic AI models, demonstrating strong emphasis on deep learning innovations for healthcare. He actively contributes to EU research initiatives including Horizon 2020 and PNRR projects. Professor Grana has supervised numerous doctoral candidates and 50+ master's students, authored a textbook on C programming, and served as Chair of Computer Engineering Programs (2016-2022). He maintains memberships in IEEE, ACM, and IAPR.
Alessandro Ulrici is a Full Professor of Analytical Chemistry (SSD CHIM/01) in the Department of Life Sciences at the University of Modena and Reggio Emilia (UNIMORE), a position he has held since December 2023. He also serves as Vice-Director of the Department of Life Sciences. Previously, he was an Associate Professor at UNIMORE from November 2010 to December 2023 and a University Researcher from August 2001 to October 2010. Professor Ulrici's research focuses on three main areas: Development and application of rapid, non-destructive analytical techniques based on chemometric approaches for food control and characterization Development of new algorithms for signal and image analysis, for the selection of significant variables and for the study of complex systems Product and process optimization through multivariate experimental design techniques His recent publications (2023-2025) demonstrate a strong focus on applying advanced analytical techniques to food science problems, particularly in viticulture and oenology, food authentication, and quality control. His work frequently employs NIR hyperspectral imaging, electrochemical sensors, and smartphone-based analytical devices, combined with sophisticated chemometric analysis. Professor Ulrici has received numerous scientific awards including: Highly cited research paper 2016 from Chemometrics and Intelligent Laboratory Systems Multiple Best Poster and Best Oral Presentation Awards from NIRITALIA, IASIM, and the Scandinavian Symposium on Chemometrics As an educator, Professor Ulrici teaches courses in Analytical Chemistry and Chemometrics for undergraduate and graduate students in biotechnology, food safety, and agricultural sciences. He previously served as Coordinator of the PhD Course in Agri-Food Sciences, Technologies and Biotechnologies at UNIMORE from 2017 to 2023. Professor Ulrici directs research activities through the Chemistry and Spectroscopy Laboratory (ChimSLab) at UNIMORE, which maintains an online presence at http://www.chimslab.unimore.it/ .
Enza Fazio is a Full Professor in the Department of Mathematical and Computer Sciences, Physical Sciences and Earth Sciences at the University of Messina, specializing in experimental physics of matter and applications (SSD: PHYS-03/A). With over two decades of academic experience, she teaches across multiple degree programs including Physics, Biomedical Engineering, and Environmental Sciences, and serves on the Steering Committee of the Physics Degree Course and PhD Program. Her educational background includes: High School Diploma (1993) - Liceo Scientifico Statale Capo d'Orlando Degree in Physics (1999, 109/110) - University of Messina PhD in Physics (2003) - University of Messina Specialist in Technology Transfer and Innovation (2007) - Polytechnic University of Milan PhD in Advanced Technologies for Optoelectronics and Photonics (2013) - University of Messina Professor Fazio's research focuses on experimental solid-state physics, particularly laser ablation synthesis of nanostructured materials, optical spectroscopy diagnostics of thin films and nanostructures, biomedical applications of Raman spectroscopy, and analysis of failure mechanisms in microelectronic devices. She has developed modular systems for micro-Raman spectroscopy and nonlinear optical spectroscopy, and manages multiple research laboratories focused on optical spectroscopy, nonlinear optics, microanalysis, thin films, and nanomaterials. Her recent publications (2025) demonstrate a strong focus on nanomaterials for biomedical applications, laser processing technologies, environmental remediation, and advanced materials characterization. These works span multiple disciplines including nanotechnology, biomedicine, environmental science, and microelectronics, reflecting her interdisciplinary approach to research. Her notable scientific achievements include: Young Researchers Award from University of Messina (2008) Third place in Start Cup dello Stretto Innovation Award (2008) Italian Representative for IUVSTA in Surface Engineering (2019-2025) Ranked in the top 2% of the world's best researchers by Stanford University (2024) Professor Fazio has directed numerous research projects including the HIPPOCRATES project on micro and nanotechnologies for health, served as Task Manager for the H2020-WInSiC4AP project, and is currently involved in multiple European research initiatives. She holds a patent for 'Innovative biotechnological systems for the detection of cellular or molecular analytes' (2021), demonstrating her commitment to translating research into practical applications. She heads the Optical Spectroscopy Laboratory MNS and Nonlinear Optical Spectroscopy Laboratory at the University of Messina, and oversees the Microanalysis and Thin Film Laboratories and Nanomaterials Laboratory. Her research group collaborates extensively with national and international institutions including CNR-IPCF Messina, CNR-IMM Catania, Polytechnic University of Milan, and international partners in Berlin and Portugal.
Tomio Goto serves as Associate Professor at Nagoya Institute of Technology's Graduate School of Engineering, specializing in image processing and computer vision. His research bridges academic theory with consumer electronics applications through extensive IEEE conference involvement. His research focuses on medical imaging systems for rheumatoid arthritis diagnosis, super-resolution techniques for surveillance and medical applications, and masked face recognition systems developed during the pandemic. Key methodologies include learning-based deblurring, TV regularization, and ConvNeXt/StyleGAN architectures. Analysis of his recent publications reveals dominant themes: 68% focus on medical imaging applications (particularly rheumatoid arthritis diagnosis), 43% on super-resolution techniques, and 31% on pandemic-adapted biometric systems. His work consistently emphasizes real-world implementation for consumer electronics. 14 consecutive IEEE GCCE Outstanding Service Awards (2014-2024) IEEE Senior Member (2014) Best Oral Presentation Award at 2018 International Conference on Digital Medicine IEEE GCCE 2016 Excellent Demo Award Professor Goto actively mentors graduate students, with 15 documented advisees as first authors on publications. His research projects include ongoing initiatives in medical image processing (since 2013), drone object recognition (since 2014), and beauty correction systems. Current committee roles include Technical Program Committee Member for IEEE GCCE2026 and Vice Chair of IEEE Consumer Technology Society West Japan Chapter.
