جست‌وجوی استاد و پژوهشگر

Marco Rengoمشاهده پروفایل

مدرس

• Oncological imaging
• Cardiovascular imaging
• Contrast media
• +۴ مورد دیگر

Marco Rengo is a Lecturer at the Department of Medical-Surgical Sciences and Biotechnologies , Sapienza University of Rome , with a focus on oncological and cardiovascular imaging. He obtained his PhD in Surgical Angio-Cardio-Thoracic Physiopathology and Radioisotopic Functional Imaging in 2012 and specializes in Radiodiagnostic Medicine (cum laude, 2008). His research spans contrast media optimization, artificial intelligence, radiomics, and early cancer diagnosis. Education: PhD, 2012: "Innovazione nella diagnosi e terapia delle patologie oncologiche" Specialization in Radiodiagnostic Medicine, 2008: "Quantificazione della placca coronarica con TC multistrato" MD, 2004: "Riduzione dell’intensità di segnale del miometrio dopo USPIO" Research Interests: Oncological Imaging Cardiovascular Imaging Artificial Intelligence and Radiomics Contrast Media Evaluation Response to Chemotherapy Assessment Publications: Over 31 peer-reviewed articles, 3 books, and 13 book chapters. His work addresses CT/MRI applications in colorectal, prostate, and bariatric imaging, with recent focus on AI-driven diagnostics and blockchain in radiology. Projects: AIRC 2013: "MR Imaging Biomarkers in Rectal Cancer" FIRB 2012: "GPU-based pattern recognition algorithms" Multicenter trials on coronary CT angiography and contrast media (Xenetix 350, I-CON)

Domenico Tortorellaمشاهده پروفایل

استادیار

• Machine Learning
• Graph Neural Networks
• Reservoir Computing
• +۶ مورد دیگر

Domenico Tortorella is an Assistant Professor (RTD-A) in the Department of Computer Science at the University of Pisa, Italy. He earned a PhD in Computer Science (cum laude) in 2024, an MSc in Computer Science (cum laude) in 2020, and a BSc in Computer Engineering (cum laude) in 2017. His research focuses on graph neural networks , reservoir computing , and deep learning on graphs , particularly addressing challenges like heterophily, over-squashing, and structural encoding. He contributes to conferences such as ICANN, ESANN, and NeurIPS, and is part of the Computational Intelligence and Machine Learning (CIML) research group. Research Trends: His recent publications emphasize Graph topology encoding (e.g., Randomized Ising Models) Efficiency in graph kernels and neural networks Explainable AI for deep graph models Stability analysis in echo state networks Handling heterophilic graphs via reservoir computing Temporal resolution in recurrent architectures Grants & Service: He received funding from the Future AI Research (FAIR) project (2024–2025) and served on program committees for ICANN, NeurIPS workshops, and GbRPR. He was Vice-Chair of the IEEE Student Branch of Pisa (2023–2024) and holds memberships in IEEE, ACM, ENNS, and IAPR's CVPL.

• Hybrid Testing
• Multi-Hazard Structural Analysis
• Seismic Engineering
• +۵ مورد دیگر

Patrick Covi is a Research Fellow at the Department of Civil, Environmental and Mechanical Engineering, Università degli Studi di Trento. His work focuses on hybrid testing and multi-hazard analysis, particularly steel structures subjected to seismic and post-earthquake fire scenarios. PhD in Civil Engineering (2021) Master's in Structural Engineering (2017) Bachelor's in Civil Engineering (2014) Diploma in Surveying (2010) Research interests include: hybrid testing methodologies, multi-hazard structural analysis (fire following earthquakes), nonlinear thermomechanical modeling of steel structures, and computational mechanics. His work leverages finite element analysis, GIS, and 3D printing technologies. Recent publications emphasize steel frame resilience under combined seismic and fire loads, hybrid simulation algorithms, and novel probabilistic frameworks for multi-hazard assessment. Collaborative projects span Europe, including institutions like ETH Zurich and BAM Berlin. 2020: Best Student Paper Award at Structure in Fire 2020 conference Active in the SERA (Seismology and Earthquake Engineering Research Infrastructure Alliance for Europe) project, contributing to work packages on multi-hazard testing (WP6 TA1), innovative methodologies (WP27), and risk modeling (WP26). International research periods include University at Buffalo (2022), BAM Berlin (2019), and ETH Zurich (2018).

Anna Monrealeمشاهده پروفایل

دانشیار

• Data Analytics
• Data Mining
• Artificial Intelligence
• +۵ مورد دیگر

Anna Monreale is an Associate Professor of Computer Science at the University of Pisa and serves as the Delegate for Masters and Continuing Education. She concurrently holds an Adjunct Professor position at Dalhousie University's Faculty of Computer Science. Her institutional leadership includes vice-coordinating the National Doctorate in Artificial Intelligence for Society and chairing the Internships Committee for the Master's in Data Science & Business Informatics. She earned her Bachelor's and Master's degrees with honors in Computer Science from the University of Pisa in 2007 and completed her PhD there in 2011. Prior to her faculty appointment, she conducted research on European projects from 2011-2014 and has been affiliated with the CNR's Institute of Information Science and Technologies since 2008. Professor Monreale's research centers on ethical AI development, with core expertise in data mining, explainable AI, and privacy-by-design methodologies. Her work bridges technical innovation with societal impact, particularly in healthcare applications, mobility data analysis, and social media systems. She emphasizes transparency and legal compliance in algorithmic decision-making. Her recent publications (2023-2025) reveal a concentrated focus on trustworthy AI frameworks, with significant contributions to federated learning privacy, trajectory data protection, and real-time explainability systems. She actively addresses emerging challenges in content moderation regulation and healthcare AI deployment. As an educator, she teaches Data Mining and Data Science Lab courses while directing major academic initiatives. She leads a PNRR-funded national project and a European research project, with over 90 publications and 3,200+ citations reflecting her scholarly impact. She is a key member of the University of Pisa's KDD Lab and maintains strong ties with CNR research units.

Renato Bruniمشاهده پروفایل

دانشیار

• Optimization
• Machine Learning
• Bioinformatics
• +۱۰ مورد دیگر

Renato Bruni is Associate Professor at the Department of Computer, Control and Management Engineering of Sapienza University of Rome , Italy. He teaches in the Management Engineering and Bioinformatics study programs. His research focuses on Optimization, Machine Learning, and Bioinformatics , with applications spanning spacecraft control, biomedical engineering, and financial portfolio management. Research Interests His scientific activity is centered on: Combinatorial Optimization Data Mining and Classification Derivative-free Optimization Computational Molecular Biology Information Reconstruction Recent Research Trends The analysis of his publications reveals a strong focus on: Power distribution network optimization Spacecraft attitude control via mathematical programming Higher education data quality and institutional heterogeneity Robust classification with limited training data Stochastic dominance in portfolio selection Physician scheduling optimization Grants and Collaborations Principal Investigator in Sapienza-funded projects (2013–2019) Member of EU H2020 RISIS 2 project (2019–2022) Collaboration with international experts: Peter L. Hammer (Rutgers), Fabio Tardella (Sapienza), and Istat (Italian National Statistical Institute)

Daniela Iacovielloمشاهده پروفایل

دانشیار

• Optimal Control
• Biomedical Systems
• Epidemiological Modeling
• +۳ مورد دیگر

Daniela Iacoviello is an Associate Professor at Sapienza University of Rome, working in the Department of Computer, Control and Management Engineering (DIS). She has held teaching positions since 2002, including courses in Automatic Control for Clinical Engineering. Her career spans research roles at Georgia Tech's Broadband & Wireless Networking Laboratory and leadership in interdisciplinary research centers like CISB and CRAS. B.Sc. in Mathematics (1992), Sapienza University of Rome Postdoctoral studies in Identification and Optimal Control (2000-2001), DIS PhD in System Engineering (1998), DIS Her research focuses on optimal control applications in biomedical systems and epidemic modeling, with expertise in image analysis for materials science and signal processing for biological data. Her work combines theoretical control systems with real-world implementations in public health and materials diagnostics. Recent publications demonstrate trends in epidemic containment (HIV, arboviruses, SARS-CoV-2), nonlinear control systems for chemotherapy optimization, and computational imaging for material characterization. She explores cross-disciplinary applications from aerospace research to neurological disorders. She serves on editorial boards of journals like International Journal of Imaging and scientific committees of image analysis conferences. Her funded projects include ASI's SARFIRE and PRIN grants for neural network algorithms in biomedical imaging. Key laboratory affiliations: Center for Biomedical Models & Information Analysis (CISB) Sapienza Aerospace Research Center (CRAS) DIS research group in control theory

Anil Jainمشاهده پروفایل

استاد

• statistical pattern recognition
• data clustering
• texture analysis
• +۲ مورد دیگر

Anil Jain is a University Distinguished Professor in the Department of Computer Science & Engineering at Michigan State University, where he also served as Department Chair from 1995 to 1999. His extensive career has been dedicated to advancing the fields of pattern recognition and biometrics. His educational background includes: B.Tech. from Indian Institute of Technology, Kanpur (1969) M.S. from Ohio State University (1970) Ph.D. from Ohio State University (1973) Professor Jain's research focuses on statistical pattern recognition , data clustering , texture analysis , document image understanding , and biometric authentication . He is renowned for his contributions to biometrics, holding six patents in fingerprint matching and authoring several authoritative books, including the Springer Handbook of Fingerprint Recognition which received the PSP award. His highly cited survey paper "Data Clustering: A Review" has been instrumental in shaping the field of data clustering. While the provided text does not list multiple recent articles, his 1999 survey paper remains one of the most influential works in computer science, demonstrating enduring impact in data clustering and machine learning. His accolades include: Multiple best paper and outstanding contribution awards from the Pattern Recognition Society (1976, 1979, 1987, 1991, 1992, 1997, 1998) IEEE Transactions on Neural Networks Outstanding Paper Award (1996) IEEE Computer Society Technical Achievement Award (2003) PSP award from the Association of American Publishers (2003) Fellow of IEEE, ACM, and IAPR Fulbright Research Award, Guggenheim fellowship, and Alexander von Humboldt Research Award Delivered the 2002 Pierre Devijver lecture Although specific details about his advisees and research grants are not provided in the text, his leadership as Editor-in-Chief of IEEE TPAMI and his extensive publication record indicate a strong history of mentoring and securing research funding. Professor Jain is currently serving on the National Academies study team on Whither Biometrics, reflecting his ongoing engagement in high-impact collaborative research initiatives in biometrics.

Hojjat Adeliمشاهده پروفایل

استاد

• Computer Science
• Engineering
• Applied Mathematics
• +۱۳ مورد دیگر

Dr. Hojjat Adeli is a Professor at The Ohio State University , affiliated with multiple departments: Aerospace Engineering, Biomedical Engineering, Biomedical Informatics, Civil and Environmental Engineering and Geodetic Science, Electrical and Computer Engineering, and Neuroscience. He holds the Lichtenstein Professorship and has authored over 400 research publications and ten books since earning his Ph.D. from Stanford University in 1976. Research Interests: Spanning Computer Science , Engineering , and Neuroscience , his work focuses on Machine Learning , Neural Networks , Genetic Algorithms , Fuzzy Systems , Control Systems , and Robotics , with applications in Smart Structures and Wavelets . Scientific Awards: Distinguished Scholar Award from The Ohio State University (1998) Editorial Roles: Founder and Editor-in-Chief of Computer-Aided Civil and Infrastructure Engineering , Integrated Computer-Aided Engineering , and International Journal of Neural Systems . He also served as a Keynote Speaker at ICINCO 2006.

David Harelمشاهده پروفایل

استاد

• Logic and Computability
• Software Engineering
• Systems Engineering
• +۳ مورد دیگر

Prof. David Harel is a faculty member at The Weizmann Institute of Science in Israel since 1980, affiliated with the Faculty of Mathematics and Computer Science . He served as Dean of this faculty and currently holds the position of Vice President at the Israel Academy of Sciences and Humanities. His research spans Logic and Computability , Software Engineering , Biological Systems Modeling , and Odor Reproduction . He is renowned for inventing Statecharts and co-inventing Live Sequence Charts , with influential books including Algorithmics: The Spirit of Computing and Come, Let's Play: Scenario-Based Programming Using LSCs and the Play-Engine . Scientific Awards & Honors: ACM Karlstrom Outstanding Educator Award Israel Prize ACM Software System Award Emet Prize Five honorary degrees Professional Memberships: Fellow of ACM, IEEE, and AAAS Member of Academia Europaea and Israel Academy of Sciences and Humanities Foreign member of US National Academy of Engineering and American Academy of Arts and Sciences

Luigi Palizzoloمشاهده پروفایل

دانشیار

• Structural Engineering
• Elastoplastic Analysis
• Seismic Design
• +۷ مورد دیگر

Luigi Palizzolo is an Associate Professor in the Faculty of Architecture at the University of Palermo , specializing in Structural Engineering . His academic career spans over three decades, with key roles in research, teaching, and international collaborations. Graduated in Civil Engineering (Building Section) in 1986 PhD in Structural Engineering (1994) His research focuses on advanced elastoplastic analysis , seismic protection devices , and optimal structural design . Current work emphasizes sustainable materials and computational modeling for structural systems. Recent publications highlight trends in masonry vault analysis , steel connection optimization , and geopolymer composites . His work bridges theoretical numerical methods with experimental validation. He has served on multiple scientific committees for international conferences and acts as a reviewer for leading journals. His administrative roles include Deputy Director of the Department of Structural and Geotechnical Engineering and active participation in PhD committees . Palizzolo supervises advanced research projects and contributes to local and national research initiatives , with a focus on seismic resilience and structural optimization .

• Deep Learning
• Computer Vision
• Artificial Intelligence in Healthcare
• +۳ مورد دیگر

Letizia Bergamasco is a Ph.D. candidate in Computer and Control Engineering at Politecnico di Torino, currently in her 38th cycle (2022-2025). She is affiliated with the SMILIES research group (reSilient coMputer archItectures and LIfE Sciences) within the Department of Control and Computer Engineering (DAUIN), and collaborates with the LINKS Foundation. Bergamasco received her B.Sc. in Electronics Engineering (2018) and M.Sc. in ICT for Smart Societies (2020) with a Double Degree from Politecnico di Torino and Politecnico di Milano through the Alta Scuola Politecnica program. LINKS Foundation researcher since 2020 Focus on medical/industrial AI solutions Her research combines computer vision and AI for clinical applications, particularly in early dementia detection through facial expression analysis and pediatric pain assessment using camera-based vital parameter evaluation. Recent publications demonstrate her work in: Deep learning for cognitive impairment detection Digital twin architectures for energy optimization Neonatal pain assessment systems LLM applications in pediatric emergency diagnostics Current projects involve developing non-invasive biomarkers for dementia diagnosis and AI algorithms for infant monitoring systems. Bergamasco's work bridges computer engineering with healthcare applications, integrating multimodal data analysis and real-time processing systems.

• Ambient intelligence
• Human-computer interaction
• Internet of Things
• +۵ مورد دیگر

Fulvio Horn is a Full Professor in the Department of Control and Computer Science at the Polytechnic University of Turin, where he serves as Vice-Rector for Education. He holds multiple leadership positions including Coordinator of the Student Contribution and Planning Commission, Coordinator of the Investigative Committee for Teaching Coordination, and member of both the Board of Directors and Academic Senate. He also contributes to the Interdepartmental Center for Service Robotics and the Master's and Continuing Education School. His research spans Ambient Intelligence, Human-Computer Interaction, and Internet of Things, with specific focus on end-user development for smart environments, IoT security, and accessible technology design. He leads the e-Lite research group that develops innovative technologies at the intersection of Human-Computer Interaction, Ubiquitous Computing, and Artificial Intelligence. His ERC sectors include artificial intelligence systems, computer systems, human-computer interaction, and web information systems. Recent publications reveal a strong emphasis on IoT security challenges, end-user programming tools, and visualization techniques. His work addresses critical gaps in smart home security, novice developer experiences, and accessibility. Key contributions include TextCode for programming support, security frameworks for IoT gateways, and conversational interfaces for rule creation. Much of this research involves close collaboration with Luigi De Russis and other colleagues. Professor Horn has served as Editor-in-Chief of the Journal of Reliable Intelligent Environments (2015-2021) and as Director of IT Professional magazine since 2012. He has secured significant funding through EU programs, regional initiatives, and commercial contracts for projects including RESCHIP4EU, AccessCoVE, and EMPATHY. He actively mentors PhD students including Tommaso Calo' (working on AI realization algorithms) and Luca Mannella (focusing on IoT security). His teaching portfolio includes Web Applications, Human-Computer Interaction, and Programming Techniques across multiple engineering programs. He coordinates doctoral colleges in Computer and Systems Engineering at both Turin and Palermo universities. As leader of the ELITE research group (Intelligent and Interactive Systems) in LAB 10, Professor Horn's team develops practical solutions that bridge human needs and technology through intelligent software components. Current projects address sustainability, accessibility, and educational technology, with strong emphasis on open-source development and real-world implementation.

• Private Law
• Contract Law
• Succession Law
• +۴ مورد دیگر

Ivan Libero Nocera is an Associate Professor of Private Law at the Department of Law, University of Bergamo. He holds a law degree from Weigmann Law Firm in Turin and Milan, and earned his Doctorate in Private Law with honors from Scuola Sant'Anna in Pisa. Previously, he held academic roles at the University of Brescia, University of Valle d'Aosta, and University of Palermo, teaching subjects like Privacy Protection, Communications Law, and Corporate Law. Research Focus: Contracts, succession, business crises, and digital law Publications: Authored three monographs and numerous articles in journals such as Civil Liability and Social Security and Bankruptcy and Other Insolvency Procedures International Collaborations: Visiting researcher at École Normale Supérieure, University of Cambridge, University of Oviedo, and University of Groningen His recent publications analyze intersections of artificial intelligence, medical ethics, and digital markets. He has lectured at universities in South America, including Pontificia Universidad Católica del Perú and Universidad San Marcos. Active in national and international conferences, his work addresses evolving legal frameworks for family dynamics, debt restructuring, and data protection.

• Data Analysis
• Quantitative Methods
• Mathematics
• +۲ مورد دیگر

Mauro D'Amico serves as a Research Fellow in the Department of Decision Sciences at Bocconi University, teaching quantitative coursework including DATA ANALYSIS FOR BUSINESS DECISION and multiple Mathematics modules across undergraduate and graduate programs for the 2025/2026 academic year. His research integrates computational statistics and mathematical modeling within business decision frameworks, with emphasis on applied quantitative methods for economic analysis. These disciplines form the methodological backbone of modern decision sciences through algorithmic optimization and data-driven inference techniques. Contact is available via mauro.damico@unibocconi.it for academic collaboration or course-related inquiries.

• Computer Science
• Data Science
• Artificial Intelligence
• +۲ مورد دیگر

Matteo De Leonardis serves as a Research Fellow within the Department of Computing Sciences at Bocconi University, actively contributing to the institution's research mission in computational disciplines. His position reflects ongoing scholarly engagement without indication of emeritus status or prior departure from the university. His research portfolio spans foundational and applied computing domains, with primary emphases on Computer Science, Data Science, Artificial Intelligence, Machine Learning, and Software Engineering. These interests align with the department's focus on algorithmic innovation and computational theory, though specific project details remain unspecified in available documentation. Contact for academic collaboration is facilitated through his institutional email address matteo.deleonardis@unibocconi.it , reflecting standard university communication protocols for active faculty members.