جستجوی استاد راهنمای دانشگاهی

Manuela Pettiمشاهده پروفایل

استادیار

• Precision Medicine
• Biological Network Inference
• Network Neuroscience
• +۳ مورد دیگر

Manuela Petti is an Assistant Professor of Biomedical Engineering at Sapienza University of Rome's Department of Computer, Control, and Management Engineering since 2019. She is affiliated with the Bioengineering and Bioinformatics Lab and the National Bioengineering Group (GNB), and serves as Associate Editor for Frontiers in Medical Engineering (Computational Medicine section). Her academic background includes a cum laude M.Sc. in Biomedical Engineering from Sapienza University of Rome (2011) and a Ph.D. from the University of Bologna (2016), with a visiting stint at Indiana University Bloomington (2015). M.Sc. Biomedical Engineering, Sapienza University of Rome (2011, cum laude) Ph.D. Biomedical Engineering, University of Bologna (2016) Dr. Petti's research pioneers network-based computational approaches for precision medicine, integrating molecular data analysis, biological network inference, and brain connectivity estimation. Her work bridges bioinformatics and biomedical engineering to develop advanced methods for cancer research (focusing on sexual dimorphism and ethnic disparities), network neuroscience, and bioelectrical signal processing, with significant applications in oncology and neurology. Analysis of her 56 Scopus-indexed publications (1282 citations, H-index 13) reveals dominant trends in network medicine for cancer diagnostics, including immunological network signatures for immunotherapy response, miRNA regulation networks for sex disparities, and multi-omics integration for biomarker discovery. Her recent work emphasizes radiomics, drug repurposing, and patient stratification through network-based approaches. As an educator, she teaches "Bioinformatics and Network Medicine" and "Digital Epidemiology and Precision Medicine" in Sapienza's Data Science MSc program, having supervised over 10 Master's theses in Data Science, Computer Science, and Bioinformatics. She actively contributes to the Bioengineering and Bioinformatics Lab at Sapienza University of Rome, where her team develops computational frameworks for translating network-based discoveries into clinical applications, particularly in cancer therapeutics and neurological disorders.

• Computer Science
• Image Processing
• Computer Vision
• +۳ مورد دیگر

Cesare Fabio Valenti is an Associate Professor at the University of Palermo, Department of Mathematics and Computer Science. He teaches courses in Informatics, including Digital Image Analysis , Artificial Vision , and Operating Systems , with office hours available by appointment via email. His research focuses on Computer Vision Digital Image Analysis Operating System Design Software Engineering Contact: cesare.valenti@unipa.it

• Biomedical Engineering
• Machine Learning
• Medical Imaging
• +۳ مورد دیگر

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.

• Biomedical Image Processing
• Machine Learning in Medical Diagnostics
• Radiation Physics
• +۲ مورد دیگر

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 .

• Aging
• Bacteria
• Biocompatibility
• +۹ مورد دیگر

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.

• Medical Imaging
• Computer Vision
• Image Processing
• +۳ مورد دیگر

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.

• Image Processing
• Computer Vision
• Medical Imaging
• +۴ مورد دیگر

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.