جست‌وجوی استاد و پژوهشگر

Emiliano Maianiمشاهده پروفایل

دانشیار

• Molecular Biology
• Oncology
• Cell Signaling
• +۶ مورد دیگر

Emiliano Maiani is an Associate Professor of Molecular Biology at UniCamillus and serves as Vice Dean of the Departmental Faculty of Medicine. He holds concurrent roles as Research Delegate coordinating the University’s Integrated Research Center and Visiting Scientist at the Danish Cancer Institute. His expertise lies in cellular signaling mechanisms, particularly DNA damage response, autophagy regulation, and S-nitrosylation pathways. He earned his Ph.D. in Cellular and Molecular Biology from the University of Rome Tor Vergata (2013) and conducted postdoctoral research at the Danish Cancer Society Research Center until 2021. His research focuses on molecular mechanisms underlying cancer progression, genomic stability, and cell cycle control. Key areas include GSNOR-mediated regulation of tumor growth, AMBRA1’s role in cyclin D stability, and autophagy’s role in tissue homeostasis. He has published in high-impact journals like Nature and Nature Medicine , with recent work addressing S-nitrosylation in embryonal rhabdomyosarcoma and tendon biology. Maiani serves as a peer reviewer for major scientific journals and evaluates national and EU research projects (Horizon Europe, Marie Skłodowska-Curie Fellowships). His collaborative efforts span computational biology, structural bioinformatics, and protein disorder prediction through initiatives like DisProt database improvements. He also contributes to methodological standards in autophagy research via guideline publications.

Paola Turanoمشاهده پروفایل

استاد

• Structural Biology
• Nuclear Magnetic Resonance (NMR)
• Metabolomics
• +۴ مورد دیگر

Paola Turano is a Full Professor at the University of Florence, affiliated with the Magnetic Resonance Center and Department of Chemistry. She holds roles as Chair of the Scientific Committee for the da Vinci European Biobank and member of the GIDRM Council. Her career includes positions as a researcher (1997), Associate Professor (2002), and Full Professor (current). She received a Ph.D. in Chemical Sciences from the University of Florence (1993). Research focuses on NMR methodologies for biomolecules, protein interactions in drug design, iron metabolism structural biology, and NMR-based metabolomics. Key contributions include advancements in solid-state NMR, PEGylated proteins, and ferritin-based drug delivery systems. She has authored ~110 peer-reviewed publications and contributed to international conferences and academic leadership roles. Her awards include the 2003 Raffaello Nasini Medal (Italian Chemical Society). Research highlights include metabolic profiling in Parkinson’s disease, COVID-19 biomarkers, and biobanking standards. She has organized numerous scientific events and chairs EuCheMS divisions. Her work bridges bioinorganic chemistry, structural biology, and clinical metabolomics. Publications span 1990s–2025, emphasizing NMR applications in drug discovery, disease biomarkers, and protein-mineral interfaces. Current research explores AI validation in precision medicine and metabolic robustness in extreme environments.

Vito Calderoneمشاهده پروفایل

دانشیار

• Structural Biology
• Protein Crystallography
• Bio-inorganic Chemistry
• +۵ مورد دیگر

Vito Calderone is an Associate Professor at the University of Florence, affiliated with the Department of Chemistry and the Magnetic Resonance Center (CERM). His research focuses on structural biology, particularly the structural determination of proteins via X-ray crystallography, mitochondrial proteins, metalloproteins, and drug design. He has contributed to over 70 peer-reviewed publications with an H-index of 27 and solved more than 120 protein X-ray structures. Education & Career: Master's in Biological Sciences, University of Turin (1992) PhD in Protein Chemistry, University of Turin (1997) Postdoctoral positions at: University of Bath (1997) IGBMC Strasbourg (1997–1999) University of Padua (1999–2002) University of Siena (2002–2006) CERM, University of Florence (2006–2012) Assistant Professor, University of Florence (2012–) Current role: Associate Professor Research Interests: Structural biology of mitochondrial proteins and metalloproteins, X-ray crystallography applications in drug design, metal-mediated protein interactions. Key areas include electron transfer processes, metal trafficking in cells, and structural studies of protein complexes. Publications & Grants: Over 70 peer-reviewed articles in journals like Acta Crystallographica , Journal of Biological Inorganic Chemistry , and Journal of the American Chemical Society . His work spans structural biology, protein engineering, and antiviral drug design. Labs & Teams: Active in the Magnetic Resonance Center (CERM), collaborating on projects involving integrated structural biology techniques, NMR spectroscopy, and computational modeling.

Enrico Raveraمشاهده پروفایل

دانشیار

• Solid-state NMR
• Paramagnetic NMR
• EPR Spectroscopy
• +۳ مورد دیگر

Enrico Ravera is an Associate Professor in the Department of Chemistry at the University of Florence, affiliated with the Magnetic Resonance Center. He holds a B.Sc., M.Sc., and Ph.D. in Chemistry from the University of Florence (2008–2013), followed by postdoctoral fellowships at CERM and a FIRC Fellowship at CIRMMP. His research focuses on NMR spectroscopy (solution/solid-state), paramagnetic systems, EPR, and biomaterial characterization. Key achievements include developing novel NMR methodologies for protein-material interactions and co-authoring influential textbooks like NMR of Paramagnetic Molecules . Education: B.Sc. Chemistry, University of Florence (2008) M.Sc. Chemistry of Biological Molecules, cum laude (2009) Ph.D. in Chemistry (2013) Research interests span solid-state NMR, paramagnetic systems, EPR, and bioinspired materials. Notable contributions include engineering enzymes for bioinspired silica formation and studying protein dynamics via paramagnetic tagging. Awards include the 2020 Premio Raffaello Nasini, GIDRM Under 35 Award, and UNESCO/IUPAC Green Chemistry Prize. His work bridges chemistry, biology, and materials science, with applications in drug design and medical imaging. Grants and collaborations include projects on protein-drug conjugates, NMR-based drug development, and biotherapeutic characterization. He leads efforts in developing interdisciplinary approaches for structural biology. Labs/Teams: Active in the Magnetic Resonance Center (CERM) and collaborates with CIRMMP. Research integrates NMR with computational methods and biophysical techniques.

Leonardo Tenoriمشاهده پروفایل

دانشیار

• Metabolomics
• Foodomics
• Nuclear Magnetic Resonance (NMR) Spectroscopy
• +۴ مورد دیگر

Leonardo Tenori is an Associate Professor at the Department of Chemistry, University of Florence, affiliated with the Magnetic Resonance Center (CERM). He holds a master’s degree in Chemistry (2002) and a PhD in Structural Biology (2008), both from the University of Florence. His research focuses on metabolomics, particularly applying Nuclear Magnetic Resonance (NMR) spectroscopy to biomedical, pharmacological, and agricultural challenges. Education: Master’s in Chemistry, University of Florence, 2002 PhD in Structural Biology, University of Florence, 2008 Research Interests include metabolomics applications in disease diagnosis (e.g., celiac disease, breast cancer, cardiovascular disorders), development of statistical algorithms for data analysis (e.g., KODAMA), and collaborations in clinical and agricultural research. His work emphasizes metabolic biomarker discovery and integrative omics approaches. Recent research highlights include studies on stroke outcome prediction via blood biomarkers, metabolomic profiling of plant-based beverages, and lipidomic analysis of human sperm. These projects underscore his expertise in NMR-based metabolomics and its translational applications. Awards: 2015 Fellowship from the Italian Foundation Veronesi for melanoma metabolomics research He has contributed to over 100 publications and collaborates internationally. His work includes developing predictive models for disease recurrence in cancer patients and exploring metabolomic signatures in chronic diseases. He also investigates applications in agriculture, such as olive oil quality assessment and dairy cow health monitoring. Labs/Teams: Part of the Magnetic Resonance Center (CERM) at the University of Florence, contributing to interdisciplinary research in structural biology and metabolomics.

• Computer Arithmetic
• RISC-V
• Cyber-Physical Systems
• +۴ مورد دیگر

Federico Rossi is an Assistant Professor at the Department of Information Engineering, University of Pisa, and a Research Fellow (RTD-A) in H2020 projects. His research focuses on computer arithmetic, RISC-V open platforms, cyber-physical systems (CPSs), and digital twins. He explores interdisciplinary applications of AI in digital twins for environmental and engineering systems. His work integrates machine learning, sensor data analysis, and low-precision computing to enhance system efficiency and autonomy. Research Interests: Computer Arithmetic & RISC-V Architecture Cyber-Physical Systems (CPS) Design AI-Driven Digital Twins for Environmental Monitoring Low-Precision Inference for Edge Computing Publications Trends: His recent work emphasizes biological soil crusts' role in ecosystem resilience, cyanobacterial applications for soil restoration, and exopolysaccharide dynamics in dryland environments. These studies bridge computational engineering with environmental microbiology, addressing challenges in desertification and sustainable land management. Grants & Collaborations: Federico contributes to H2020-funded projects, focusing on open-source platforms and AI integration in critical infrastructure systems. His research often involves cross-disciplinary collaborations between engineering and environmental science domains. Labs/Teams: While no specific lab is mentioned, his affiliations suggest involvement in the Department of Information Engineering's CPS and embedded systems research groups, alongside ecological engineering initiatives.

• Structural Engineering
• Earthquake Engineering
• Seismic Retrofitting
• +۵ مورد دیگر

Santiago Londono Lopez is a Ph.D. candidate in Civil and Environmental Engineering at the Polytechnic University of Turin (2023-2026 cycle) and serves as a PartTime Lecturer at the Department of Structural, Geotechnical and Building Engineering (DISEG). He teaches in the Master of Science program for Earthquake Engineering and Urban Resilience within the Building Engineering curriculum for academic years 2024/25 and 2025/26. Education: M.Sc. in Structural Engineering B.Sc. in Civil Engineering His research specializes in sustainable structural and energy retrofitting for aging post-WWII buildings, addressing Italy's seismic risks and energy scarcity through advanced computational methods. Key focus areas include seismic protection systems, structural monitoring, and the integration of metaheuristic algorithms, machine learning, and artificial intelligence into structural design processes. His work prioritizes BIM-enabled workflows for enhanced project accuracy and seismic resilience in steel/concrete superstructures. Recent publications analyze high-damping rubber bearings for seismic isolation, emphasizing model calibration and production variability impacts. These studies reflect his cross-disciplinary approach combining structural dynamics, materials science, and computational optimization to develop resilient building envelopes. As a teaching assistant, he contributes to course development in earthquake engineering while applying his industry experience in residential/industrial structural design. His professional practice integrates regulatory standards with sustainable retrofitting techniques to address climate change challenges in the built environment.

Mauro Corradoمشاهده پروفایل

استاد

• Civil and Structural Engineering
• Composite Material Design
• Computational Mechanics
• +۱۲ مورد دیگر

Mauro Corrado is a Full Professor at the Department of Structural, Geotechnical and Building Engineering (DISEG), Politecnico di Torino, Italy. He is a member of the Interdepartmental Center SISCON – Safety of Infrastructures and Constructions and leads the GLASS T&AM research group focused on glass structures and advanced materials. His academic career includes a Marie Curie Intra-European Fellowship at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland (2014–2016). University: Politecnico di Torino Department: Department of Structural, Geotechnical and Building Engineering (DISEG) Academic Rank: Professor Email: mauro.corrado@polito.it His research interests include civil and structural engineering, composite material design and testing, computational mechanics, fracture mechanics, reinforced concrete, structural glass, and structural health monitoring. He applies multi-scale and multi-physics modeling to study failure mechanisms in concrete, composites, and photovoltaic modules. His work integrates experimental validation with advanced numerical simulations using cohesive zone models, phase field methods, and XFEM. The recent publications reflect a strong trend in structural glass, dynamic fracture, acoustic monitoring of concrete structures, and multi-scale modeling of material degradation. Key themes include the development of functional coatings for glass, computational modeling of fracture in heterogeneous materials, and structural health monitoring using acoustic event detection in prestressed concrete bridges. Scientific awards include: Marie Curie Intra-European Fellowship for Career Development (FP7-PEOPLE-2013-IEF) Fellow at École Polytechnique Fédérale de Lausanne (2014–2016) He has supervised several PhD students including Vida Bagherpour Aliabadi, Diogo Manuel Goncalves Dias, and Arturo Chao Correas. He has led research projects funded by PNRR, corporate partners, and competitive grants. His teaching includes Structural Glass Technology, Advanced Structural Mechanics, and Computational Mechanics. He is also involved in PhD programs at Politecnico di Torino and Università degli Studi di Catania. He is a member of the editorial boards of the International Journal of Structural Glass and Advanced Materials Research and Fracture and Structural Integrity, and actively collaborates with institutions such as TU Delft, EPFL, and IMT Lucca.

• Energy Efficiency
• Urban Sustainability
• Historic Preservation
• +۳ مورد دیگر

Rosa Francesca De Masi is an Associate Professor at the University of Sannio , Department of Engineering, focusing on energy efficiency in buildings. Her research spans: Energy performance assessment of buildings and historical centers Thermal behavior of innovative envelope solutions Integration of Geographic Information Systems (GIS) for Urban Energy Maps Impact of climate change on building energy balance Development of nearly Zero Energy Buildings (nZEB) in Mediterranean climates Life Cycle Assessment (LCA) of sustainable materials Key publication trends include: 15+ articles on energy retrofit strategies Specialization in thermal bridges and photovoltaic integration Focus on cool roofing materials and hemp-lime composites Methodologies for urban energy mapping and climate resilience She has collaborated with researchers like: Fabrizio Ascione Giuseppe Peter Vanoli Antonio Vanoli Francesco de’ Rossi Valentino Festa

Federica Bacciniمشاهده پروفایل

استادیار

• Analysis of Multilayer and Higher-Order Networks
• Graph-Structured Data
• Machine Learning for Graphs
• +۱۰ مورد دیگر

Federica Baccini is an Assistant Professor at the Department of Computer, Control, and Management Engineering "Antonio Ruberti", Sapienza University of Rome. She is actively involved in the RSTLess research group, collaborating with Professors Fabrizio Silvestri and Irene Amerini. Her academic journey includes a PhD in Computer Science from the University of Pisa and a Master’s in Applied Mathematics from the University of Siena. Her educational background includes: PhD in Computer Science, University of Pisa, thesis: Analysis of Multiple Relations in Multilayer and Higher-Order Networks , supervised by Prof. Monica Bianchini and Dr. Filippo Geraci. Master’s Degree in Applied Mathematics, University of Siena, summa cum laude , thesis: Network analysis for the Integration of histone modification data to explain haematopoiesis . Visiting PhD student at Queen Mary University of London under Prof. Ginestra Bianconi. Federica's research is centered on the analysis of graph-structured data, particularly focusing on multilayer and higher-order networks. She investigates machine learning models for graphs, with emphasis on similarity network fusion , weighted simplicial complexes , and data integration across disciplines. Her work spans applications in biomedicine, environmental science, scientometrics, and AI security. She has published in high-impact journals such as Physical Review E , Journal of Informetrics , and Mathematics . The recent trend in her publications highlights a strong interdisciplinary approach, combining network science with machine learning to solve real-world problems in healthcare, scholarly communication, and climate systems. Her 2025 work on adversarial data poisoning shows engagement with AI security, while her medical applications (e.g., haemodialysis app, IgA nephropathy) demonstrate translational research impact. She has no listed scientific awards at this time. Federica is actively involved in academic advising and teaching, offering the course Fundamentals of Artificial Intelligence in the Bachelor's program in Mathematical Sciences for Artificial Intelligence. While specific grant details are not mentioned, her ongoing research in AI, network science, and interdisciplinary applications suggests active participation in funded projects. She is a member of the Theory of Deep Learning initiative. She is a key contributor to the RSTLess research group , where she collaborates on cutting-edge topics in deep learning and network analysis.

• Computational Materials Science
• First-Principles Calculations
• Anharmonicity in Solids
• +۷ مورد دیگر

Johan Klarbring is a researcher in the Department of Physics, Chemistry and Biology at Linköping University, within the Faculty of Science & Engineering. His work is centered on theoretical and computational materials science, particularly focusing on complex atomic dynamics in functional materials. His research interests include: Anharmonicity in crystalline solids Phase transformations in perovskites Ion conduction in solid electrolytes Thermochromic and optoelectronic properties of lead-free perovskites Machine learning force fields for molecular dynamics First-principles modeling of dynamically disordered systems His recent publications (2022–2024) reveal a strong focus on halide perovskites and double perovskites, examining phenomena such as thermochromism, antiferromagnetic coupling, and fast ion conduction. He employs advanced computational techniques, including machine learning-accelerated molecular dynamics and ab initio methods, to uncover atomic-scale mechanisms behind macroscopic material properties. His work bridges fundamental physics with applications in energy materials, solid-state batteries, and optoelectronics. Notable scientific contributions include: Development of models for Na vacancy-driven phase stabilization in sodium ion conductors Elucidation of electron-phonon coupling as the origin of thermochromism in Cs2NaFeCl6 Analysis of diverging anharmonic behaviors in lead-based vs. lead-free perovskites Application of the TDEP method to study temperature-dependent effective potentials Investigation of ionic conductivity in doped ceria using nonequilibrium molecular dynamics Klarbring completed his doctoral thesis in 2020 titled A First-Principles Study of Highly Anharmonic and Dynamically Disordered Solids , which laid the foundation for his current research. He has collaborated with prominent researchers and institutions, and his work is supported by major funding agencies such as the Swedish Research Council, Knut and Alice Wallenberg Foundation, and the European Research Council. He is actively involved in developing and applying cutting-edge computational methodologies to address challenges in materials science. He is affiliated with the Theoretical Physics division at Linköping University and contributes to open-source scientific software development, as evidenced by his involvement in the TDEP package. There is no mention of advising students or teaching responsibilities in the provided text.

Emanuela Merelliمشاهده پروفایل

استاد

• Interactive Computation
• Topological Data Analysis
• RNA Structure Analysis
• +۳ مورد دیگر

Emanuela Merelli is a Full Professor of Computer Science at the University of Camerino. She leads the BioShape & Data Science Lab, established during her coordination of the EU-FET Project TOPDRIM, which focuses on topology-driven methods for complex systems. Her research integrates formal methods, algebraic topology, and data science to study biological systems like RNA folding and immune responses. She has held a Fulbright Fellowship at the University of Oregon (2005) and remains active in European academic initiatives. Research Interests: Interactive computation, topological field theory of data (TFTD), foundations of learning processes, cell cycle analysis in somatic/cancer cells, and complex systems modeling. Her work bridges theoretical computer science with systems biology, emphasizing topological approaches to data analysis. Awards: Fulbright Fellow (2005), Fellow Member of COST Action CA19122 EUGAIn (promoting gender balance in informatics). She contributes to the European Association for Theoretical Computer Science (EATCS) through leadership roles and educational initiatives. Professional Activities: Promotes open-access publications, organizes international conferences (e.g., ICALP 2022), and develops educational programs like the EATCS Young Researchers School on Complexity and Concurrency. Her work also extends to smart housing technologies for elderly care (Progetto SIAMADA) and seismic engineering applications. Labs & Projects: Leads BioShape Lab exploring topological methods in biology and data science. Coordinates EU-funded projects on RNA structure analysis and complex systems.

Renato Vacondioمشاهده پروفایل

استادیار

• Computational Fluid Dynamics
• Flood Risk Management
• Numerical Modeling
• +۷ مورد دیگر

Renato Vacondio is an Assistant Professor (RTD-b) in the Department of Engineering and Architecture at the University of Parma, where he also obtained his PhD in Civil Engineering. His work focuses on advanced numerical modeling for flood risk management, particularly using meshless Lagrangian methods such as Smoothed Particle Hydrodynamics (SPH). His research interests lie at the intersection of computational fluid dynamics , flood risk modeling , and hydraulic infrastructure protection . He develops and applies SPH-based solvers (SPHysics, DualSPHysics) to simulate rapidly varying free-surface flows, contributing significantly to both academic and industrial applications. He is deeply involved in the international SPH community through the SPHERIC Steering Committee and as editor of the SPHERIC newsletter. The recent publications reflect a strong trend toward high-fidelity simulation of flood events , integration of data-driven forecasting models , and development of advanced numerical schemes for non-hydrostatic and shallow water flows. His work increasingly emphasizes real-time applications and infrastructure resilience. Scientific Awards: SIR (Scientific Independence of young Researchers) Research Fellow (2014) Research Leadership and Supervision: Dr. Vacondio has served as Principal Investigator on multiple competitive research projects, including PARFLOOD (MIUR-SIR, €383k), PGRA (€1.1M), and Andritz-SPH (€102k), with total funding exceeding €1.4 million. He has supervised PhD students and postdoctoral researchers across projects such as PARFLOOD and RESILIENCE. He is also a member of the academic board of the PhD school in Civil Engineering and Architecture at the University of Parma. Professional Affiliations and Editorial Roles: He is a member of the SPHERIC Steering Committee and has served as Guest Editor for a special issue on SPH methods in Computers & Fluids . He has delivered invited keynotes at international institutions including Imperial College London and the University of Stuttgart.

• Artificial Intelligence
• Deep Learning
• Natural Language Processing
• +۱۲ مورد دیگر

Gianfranco Lombardo is a Fixed-Term Researcher (RTD-A) at the Department of Engineering and Architecture, University of Parma, where he also earned his academic degrees. He has served as an Adjunct Professor and Research Fellow at the same institution and was a Visiting Researcher at the University of Florida's Herbert Wertheim College of Engineering. His educational background includes: Bachelor's in Computer, Electronics, and Telecommunications Engineering (2014), University of Parma Master's in Computer Engineering (2017), University of Parma Ph.D. in Information Technology (2021), University of Parma His research focuses on Artificial Intelligence , particularly Deep Learning , Natural Language Processing , and Knowledge Extraction from semi-structured data such as documents and social media. He applies these techniques in diverse domains including finance and healthcare. His work on predictive maintenance of LGVs using unsupervised learning and digital twins for operating rooms highlights his interdisciplinary approach. He is also involved in continual learning systems for location-based services. The recent publications (2024) demonstrate a strong trend in applying NLP and deep learning to financial data analysis (e.g., SEC filings, bankruptcy prediction) and healthcare optimization (e.g., digital twins for hospital operations). These works integrate multi-modal data and end-to-end architectures, showing a focus on practical, real-world applications of AI. He has taught courses such as Big Data and Business Intelligence , Programming of Mobile Systems , and Fundamentals of Computer Programming for Text Analysis across various programs including Information Systems Engineering, Data Science for Management, and Computer Engineering. He also served as a teacher tutor for Computer Engineering students. Professionally, he has worked as an AI consultant and as a Technical Consultant of Party (CTP) for the Genoa Court on software development matters. He is a registered professional engineer (Information Sector) in Crotone (No. 843).

Matteo-Claudio Palpacelliمشاهده پروفایل

دانشیار

• Robotics
• Mechatronics
• Applied Mechanics
• +۱۲ مورد دیگر

Matteo-Claudio Palpacelli is an Associate Professor in the Department of Industrial Engineering and Mathematical Sciences at the Polytechnic University of Marche, where he has been a faculty member since 2019, following his role as a researcher from 2008 to 2019. He teaches Applied Mechanics to Machines at the Bachelor's level and Functional Design at the Master's level, both at the Ancona campus. Bachelor of Science in Mechanical Engineering, Polytechnic University of Marche, 2004 PhD in Artificial Intelligence Systems in Information, Management, and Industrial Engineering, Polytechnic University of Marche, 2008 His research lies at the intersection of Robotics, Mechatronics, and Applied Mechanics , with a strong emphasis on parallel kinematic machines , collaborative robotics , reconfigurable robots , robotic microassembly , and visual servoing . He has advanced expertise in biomechanics and rehabilitation robotics through a collaboration with King’s College London. His work also extends to multibody system dynamics and compliant mechanisms. Palpacelli has contributed to national PRIN projects in bioengineering and miniaturized robotics, as well as European projects in the textile sector. The recent publications (2021–2024) highlight a consistent focus on collaborative robotics, optimization of robotic motion, compliant mechanisms, and industrial automation. There is a clear trend toward integrating AI and machine learning in robotic polishing and defect detection, while maintaining a strong foundation in kinematic analysis, control strategies, and mechanical design. Topics such as collision avoidance, inverse kinematics of non-spherical wrist robots, and flexure hinge modeling reflect both theoretical and applied contributions. His scientific contributions are recognized through over 60 Scopus-indexed publications and two patents. While no specific awards are mentioned in the text, his leadership in research projects and international collaborations underscores his academic impact. He actively supervises PhD students, including Albin Bajrami, Federico Emiliani, and others, and collaborates closely with colleagues such as Massimo Callegari and Luca Carbonari. He is involved in the i-LABS research initiative, focusing on human-robot collaboration and industrial case studies. His research group is engaged in both fundamental and applied projects, bridging academia and industry.