جست‌وجوی استاد و پژوهشگر

Vincenzo Della Meaمشاهده پروفایل

دانشیار

• Medical Informatics
• Digital Pathology
• Biomedical Ontologies
• +۳ مورد دیگر

Vincenzo Della Mea is an Associate Professor of Information Processing Systems at the University of Udine's Department of Mathematical, Computer and Physical Sciences. His research focuses on medical informatics, digital pathology, biomedical ontologies, and AI applications in healthcare. He holds abilitation to full professorship and is a member of the WHO Italian Collaborating Centre for International Classifications (WHO-FIC), ICHI Task Force, and ESDIP's Executive Board. He leads the EU MSCA Doctoral Network BosomShield (2022-2026) and previously managed the AIDPATH Marie Curie project. As an editor for journals like Digital Health and Journal of Pathology Informatics , he bridges academia and practice. Beyond academia, he is a poet with awards, including the Nelle terre dei Pallavicino Prize for his 2004 collection Algoritmi , and organizes interdisciplinary events merging science and literature. Education & Roles : Holds a professorship in Computer Science and teaches courses on web technologies, medical informatics, and AI across multiple degree programs. Previously served as Vice-President of SIBIM (Italian Biomedical Informatics Society). Research Interests : Specializes in digital pathology, medical AI, telemedicine, and standardization of health classifications like ICD-11 and ICF. His work emphasizes ontology harmonization and machine learning for clinical decision support. Recent Contributions : Published on WHO classification harmonization, AI-driven pathology tools, and energy-sector LLM applications. Active in editorial roles and international collaborations, including the HEROHE Challenge for breast cancer analysis. Awards & Recognition : 2023 – Poetry collection Clone 2.0 (neurally generated) 2005 – Nelle terre dei Pallavicino Award Grants & Projects : Led EU-funded projects (AIDPATH, BosomShield) and contributed to initiatives like the ICD-11 Mortality Coding System. Collaborates with institutions like AcegasApsAmga on AI for utilities. Labs & Initiatives : Involved in digital pathology workflow optimization and educational platforms for medical coding and AI ethics.

• Science Education
• STEM Education
• Environmental Education
• +۱۳ مورد دیگر

Şule Elmalı is an Assistant Professor in the Department of Mathematics and Science Education at the Faculty of Education, Sakarya University. Her academic work is centered on improving science education through innovative pedagogical approaches, teacher training, and technology integration. She teaches a range of undergraduate and graduate courses related to science teaching, environmental education, and STEM applications. Her research interests include science education, STEM education, environmental education, educational technology, pre-service teacher training, reflective thinking, and laboratory applications in biology. She has conducted studies on ecological footprint awareness, outdoor education, Web 2.0 tools, mobile applications in biology labs, and the impact of STEM programs on teacher autonomy and entrepreneurship skills. Her work emphasizes conceptual understanding in early science education, such as children's ideas about floating and sinking, and lunar observation experiences among teacher candidates. Her recent publications (2021–2024) span international journals like the Journal of Biological Education and Hacettepe University Journal of Education , focusing on dissection methods, professional development for science teachers, and nature-based learning. These works reflect a trend toward technology-enhanced, experiential, and inquiry-based science education, with a strong focus on teacher development and student conceptual change. TÜBİTAK Publication Incentive Award She has supervised academic contributions through course instruction and research projects, including a professional development program for science teachers in science and art centers. Her work also includes collaborations on research projects related to STEM education, nature-based programs for gifted students, and science center initiatives. She is actively involved in research projects such as the development and evaluation of technology-based in-service training programs for science teachers at science and art centers. She has also contributed to book chapters, such as 'From Theory to Practice: Bringing Life into the Classroom,' and presented at numerous international conferences. Her work bridges theory and practice in science education, aiming to enhance teaching quality and student engagement.

Marianna Nicolosi Asmundoمشاهده پروفایل

دانشیار

• Mathematical Logic
• Automatic Deduction
• Description Logic
• +۷ مورد دیگر

Marianna Nicolosi Asmundo is an Associate Professor of Mathematical Logic (MAT/01) at the Department of Mathematics and Computer Science (DMI) of the University of Catania. She earned her PhD from the same university in 2003 and serves as a proposing member of CINUM - Interdepartmental Center for Humanistic Computing. Teaches undergraduate and graduate programs in Mathematics Master's Degree Programs in Computer Science Textual Sciences for Digital Professions (Department of Humanities) Her research spans automatic deduction, tableaux-based deductive systems, decision procedures in elementary set theory and non-classical logic, interactive theorem proving, knowledge bases, ontologies, and reasoning services for the semantic web. Recent publications emphasize ontology interoperability, blockchain-based knowledge representation, and set-theoretic reasoning frameworks. She contributes to ontologies for cultural heritage (Saint Gall monastery modeling, archaeological Sicilian landscapes) and blockchain applications. Collaborates extensively with researchers like D. Cantone and D.F. Santamaria on description logic systems. Active member of CINUM - Interdepartmental Center for Humanistic Computing Supervises thesis projects on semantic web and blockchain ontologies

Michele Donatiمشاهده پروفایل

دانشیار

• Agricultural Economics
• Agro-environmental Policy
• Sustainable Food Systems
• +۳ مورد دیگر

Michele Donati is an Associate Professor at the Department of Chemical, Life and Environmental Sustainability Sciences, University of Parma. With expertise in agricultural economics and agro-environmental policy, he specializes in quantitative analysis using mathematical programming models and Life Cycle Assessment (LCA) for evaluating sustainability in food systems. His teaching includes courses in Environmental Economics and Economic Modeling, and he leads research on CAP reforms and bio-economic modeling. Education: PhD in Agri-food Economics (2001–2003), Master in Environment and Natural Resource Economics (1999–2000), Degree in Economics (1992–1998) Research: Focuses on CAP policy evaluation, sustainable agri-food supply chains, bio-economic modeling, and greening strategies. Projects include Horizon2020's Strength2Food and EUROTOOLS. Teaching: Environmental Economics (2009–present), Economic Modeling (2008–present), and Rural Development (2011–2012). Awards: Received the 2016 European Association of Agricultural Economists Publication Award for policy contribution.

Maria Chiara Brambillaمشاهده پروفایل

دانشیار

• Algebraic Geometry
• Commutative Algebra
• Moduli Spaces
• +۳ مورد دیگر

Maria Chiara Brambilla is an Associate Professor in the Department of Industrial Engineering and Mathematical Sciences (DIISM) at Università Politecnica delle Marche, Faculty of Engineering. Her research specializes in algebraic geometry, with emphasis on moduli spaces, vector bundles, and secant varieties. She investigates fundamental structures in birational geometry and interpolation theory, contributing to advancements in the classification of geometric objects and their deformations. Research Focus: Her work explores: Birational properties of Mori dream spaces and blowups Defectivity and non-defectivity in Segre-Veronese varieties Terracini loci and their minimality conditions Geometric invariants of flag manifolds and hypersurfaces Algebraic boundaries in tensor rank theory Publication Trends: Recent articles (2021-2025) demonstrate deepening work on Terracini loci, twistor geometry, and movable divisors, frequently employing combinatorial and deformation-theoretic methods to resolve problems in higher-dimensional algebraic geometry.

Letterio Gattoمشاهده پروفایل

دانشیار

• Algebraic Geometry
• Commutative Algebra
• Non-commutative Algebra
• +۷ مورد دیگر

Letterio Gatto is a Tenured Associate Professor in the Department of Mathematical Sciences (DISMA) at Politecnico di Torino, Italy. His research focuses on algebraic geometry, commutative algebra, and their connections to mathematical physics. He has held visiting positions at Brazilian institutions including Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) and Conselho Nacional de Desenvolvimento Científico e Tecnológico. Gatto has been actively involved in international collaborations, particularly between Italy and Brazil, and has received several research awards including the Collectanea Mathematica's Distinguished Paper Award. His educational background includes a Laurea in Matematica from Università di Torino (1987, 110/110 e Lode), a Dottorato di Ricerca in Matematica from Consorzio Universitario Torino-Genova (1988-1992), a Visiting Ph.D. student position at Boston University (January-June 1990), and a Postdoc at Rijkuniversiteit te Utrecht (1994-1995) with a NATO fellowship. Gatto's research spans several interconnected areas in mathematics. His primary focus is on the application of Hasse-Schmidt derivations on exterior algebras to symmetric polynomials and Schubert calculus. He investigates vertex operators in Heisenberg's vertex algebra and their connections to bosonic and fermionic representations of infinite-dimensional Lie algebras. His work also extends to Wronskians and ordinary differential equations with indeterminate coefficients, as well as families of special Weierstrass points on complex algebraic curves. These research threads converge in his development of the theory of Hasse-Schmidt Derivations on Exterior Algebras (HiDEAs). Gatto's recent publications demonstrate a consistent focus on algebraic structures related to exterior algebras and their applications. His work bridges commutative algebra, representation theory, and algebraic geometry. A notable trend is the exploration of connections between Grassmann algebras, Clifford algebras, and Lie algebra representations. His research has increasingly incorporated vertex operator techniques and their applications to Schubert calculus. The collaborative nature of his work is evident through partnerships with mathematicians across Europe and the Americas. His major awards include: Collectanea Mathematica's Distinguished Paper Award (2022) MARM AWARD (Mentoring African Research in Mathematics) by London Mathematical Society Cientista Visitante fellowship from FAPESP (multiple periods) Gatto has served on PhD committees at Università degli Studi di Torino for multiple cycles (32nd-34th). He has been a scientific responsible for the MARM Partnership project (2024-2025) between Politecnico di Torino and University of Lubumbashi. His grant activities include the MARM program (2020-2022) mentoring mathematics research at the University of Namibia. He has organized several international meetings including 'Mathematics Building Partnership with Africa' (2023) and 'A Fall Meeting in Algebraic Geometry and Related Topics' (2017). Gatto is part of the 'Algebraic, Computational and Differential Geometry' research group at DISMA and has been an active peer reviewer for numerous mathematical journals.

Sebastiano Boscarinoمشاهده پروفایل

دانشیار

• Numerical methods for conservation laws
• Numerical methods for stiff problems
• Numerical methods for hyperbolic systems with relaxation terms
• +۲ مورد دیگر

Sebastiano Boscarino is an Associate Professor of Numerical Analysis (MAT/08) at the Department of Mathematics and Computer Science, University of Catania, Italy. His research focuses on numerical methods for conservation laws , stiff problems , hyperbolic systems with relaxation terms , and kinetic problems , with a special emphasis on semi-Lagrangian methods. Education: Ph.D. in Applied Mathematics (2006, University of Catania), Laurea in Mathematics (2001, University of Catania) Research Projects: Coordinated national and international projects including PRIN 2017/2022 and European MODCLIM/MODCOMPSHOK. From 2016 to 2023, his publications highlight high-order semi-implicit and IMEX schemes for evolutionary PDEs , particularly in gas dynamics , Boltzmann equations , and shallow water models . Collaborations include institutions in the USA, South Korea, and Germany. He has organized international workshops and minisymposia at conferences like ICIAM, SCICADE, and ODS2018, and serves as a referee for journals such as SIAM Journal on Scientific Computing and Journal of Computational Physics. His teaching includes courses in Numerical Analysis and participation in PhD programs since 2017.

Luca Guarneraمشاهده پروفایل

استادیار

• Computer Vision
• Machine Learning
• Multimedia Forensics
• +۶ مورد دیگر

Luca Guarnera is a Fixed-term Assistant Professor (RTDA) of Informatics at the Department of Mathematics and Computer Science, University of Catania. Born in Catania on October 26, 1992, he has been a research fellow in Computer Science at the University of Catania since January 1, 2022. His academic journey includes a PhD in Computer Science (XXXIII cycle, PON number E37H18000330006) from the University of Catania, with part of his research conducted at the University of Hertfordshire under Prof. Salvatore Livatino. PhD in Computer Science, University of Catania (2018-2021) Master's Degree in Computer Science (cum laude), University of Catania (2015-2017) Bachelor's Degree in Computer Science, University of Catania (2011-2015) Guarnera's research focuses on Computer Vision, Machine Learning, and Multimedia Forensics, with special emphasis on Deepfake Detection across images, video, audio, and multimodal data. His work explores intrinsic traces left during content creation processes, VR applications for forensic analysis, and deep learning approaches to forensic problems. He has contributed significantly to forensic firearms ballistics analysis through immersive VR observation and handwritten document analysis. His publication record shows a strong trajectory in deepfake detection technologies, evolving from early work on convolutional traces to current research distinguishing between GAN and Diffusion Model outputs. His research spans both theoretical foundations and practical applications in digital forensics, with increasing focus on multimodal approaches and real-world implementation challenges. Guest Editor for Special Issue 'Advancements in Deepfake Technology, Biometry System and Multimedia Forensic' in MDPI Journal of Imaging Guarnera actively participates in the academic community as a reviewer for international journals and has contributed to prestigious international events as a Technical Program Committee member. His research is supported through collaborations with industry partners like iCTLAB srl and academic institutions. He is involved in the HEALTHY-UNICT project studying dietary habits of college students through ecological momentary assessment approaches. As a member of IPLab (Image Processing Lab) since 2015, Guarnera has been involved in various research initiatives including participation in Mohamed Bin Zayed International Robotics Challenge (MBZIRC) competitions and international summer schools (ICVSS, MISS, S3P). His work bridges theoretical computer science with practical forensic applications, particularly in the rapidly evolving field of deepfake detection and multimedia authentication.

Giovanni Russoمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Numerical Methods for Conservation Laws
• Numerical Methods for Kinetic Equations
• +۵ مورد دیگر

Giovanni Russo is a Full Professor of Numerical Analysis at the Department of Mathematics and Computer Science, University of Catania, Italy . He coordinates the PhD program in Pure and Applied Mathematics and has been a visiting scholar at institutions including Courant Institute, University of California, Los Angeles, University of Michigan, and University of Bordeaux. His career spans over four decades across academia and research institutions. Education: PhD in Physics (1986, University of Catania), Laurea in Nuclear Engineering (1982, Politecnico di Milano). Research Interests: Russo specializes in Computational Fluid Dynamics , Numerical Methods for Conservation Laws , and Kinetic Equations . His work includes asymptotic preserving schemes , IMEX methods , semi-Lagrangian schemes , and high-order numerical techniques for PDEs with applications to fluid dynamics, plasma physics, and multiscale modeling. Scientific Trends: Recent publications focus on modeling epidemic dynamics , kinetic equations for inert mixtures , semi-Lagrangian methods , and uncertainty quantification in quantum systems. These works reflect his expertise in high-order numerical schemes , multiscale analysis , and applied mathematical modeling . Scientific Awards: CNR-NATO Fellowship (1987) Advising and Grants: Russo has supervised nine PhD students and served as Principal Investigator (PI) for major projects including MOSCOVID (modeling COVID-19) and ModCompShock (Horizon 2020 Marie Curie project). He has also organized international conferences like the 18th European Conference on Mathematics for Industry with 370 participants. Labs and Teams: Russo collaborates with research groups at the University of Catania and has been a visiting researcher at Courant Institute, University of Michigan, and GSSI L’Aquila. He contributes to journals as an editor and reviewer, including SIAM Journal of Numerical Analysis and Journal of Computational Physics .

Giovanni Stagliano'مشاهده پروفایل

دانشیار

• Algebraic Geometry
• Computational Algebra
• Cremona Transformations
• +۵ مورد دیگر

Giovanni Stagliano' is an Associate Professor of Geometry at the Department of Mathematics and Computer Science, University of Catania. He specializes in algebraic geometry with computational aspects, focusing on classification problems related to Cremona transformations and rationality questions of smooth projective varieties, including cubic fourfolds, Gushel-Mukai fourfolds, and complete intersections of three quadrics in P^7. His work also addresses tensor rank in real algebraic geometry and algorithmic implementations for resultants, discriminants, and hyperdeterminants. Research interests include complex algebraic geometry, computational algebra, and tensor analysis. He leads the PRIN 2022 project "Unirationality, Hilbert schemes, and singularities" (funded by MUR with ~€165,000). Teaches in Mathematics Master's and Computer Engineering Bachelor's programs; member of the CT-ME-PA Mathematics PhD board.

• String Theory
• String Compactifications
• Theoretical Physics
• +۷ مورد دیگر

Roberto Valandro is an Associate Professor at the Department of Physics, University of Trieste, where he serves as a member of the Department's Board, President of the Joint Board of Studies, and Vice-Coordinator of the Doctoral Studies Boards for multiple physics doctoral programs (cycles XXXIV-XXXIX). He leads the String Compactifications research group within the Fields and Strings research strand of the Theoretical Physics division. Professor Valandro's research focuses on three main pillars: Strings on Singular Manifolds and Quantum Field Theories , where he uses geometric engineering to translate M-theory geometries into five-dimensional effective field theories; T-Branes , investigating bound states of D6-branes and their M-theory interpretation; and String Phenomenology , exploring connections between string theory and observable physics through both top-down and bottom-up approaches. Analysis of his recent publications reveals a strong concentration on 5-dimensional physics emerging from string compactifications, Calabi-Yau geometry, and the relationship between geometric structures and quantum field theories. His work frequently involves international collaborations, particularly with researchers from SISSA and other leading institutions in theoretical physics. As a dedicated mentor, Professor Valandro supervises PhD students including Chiara Crinò, Andrea Sangiovanni, and Davide Bason. His leadership extends to significant institutional roles, including serving as President of the Joint Board of Studies and Vice-Coordinator of multiple doctoral programs, demonstrating his commitment to academic governance and the development of future physicists. At the forefront of theoretical physics research, Professor Valandro continues to advance our understanding of string compactification and its implications for fundamental physics, contributing to Trieste's reputation as a global hub for theoretical physics research.

• Complex Systems Dynamics
• Information Theory
• Neuroscience
• +۵ مورد دیگر

Leonardo Ricci is an Associate Professor at the Department of Physics, University of Trento , with a 28-year teaching career spanning 56 courses (31 in English) and extensive roles in the Interdepartmental Center for Mind/Brain Sciences - CIMEC (30% affiliation). His research bridges nonlinear dynamics , information theory , and neuroscience , focusing on chaos detection in time series and entropy analysis. Academic Career : From 1994 post-doc at Max-Planck-Institut to 2022 promotion to Associate Professor Teaching : Courses in Experimental Physics, Advanced Electronics, and Statistical Methods across Physics and Computer Science programs Ricci leads the NSE Lab (Nonlinear Systems and Electronics) , developing hardware/software systems for experimental research. His 2022 Entropy cover story on permutation entropy highlights his impact in information theory. Scientific Contributions : 20 patents (visibility measurement devices), collaborations with international researchers on complex systems Editorial Roles : Associate Editor for Chaos, Solitons & Fractals and Frontiers in Network Physiology

• Decision Analysis
• Consistency
• Fuzzy sets
• +۱۲ مورد دیگر

Michele Fedrizzi is a full professor of Mathematical Methods of Economics and Actuarial and Financial Sciences at the Department of Industrial Engineering, University of Trento. He holds academic affiliations across multiple institutions, including the Faculty of Economics (University of Trento), Faculty of Computer Science (University of Bolzano), Department of Economics and Management, and doctoral programs in Social Sciences and Materials, Mechatronics and Systems Engineering. His research focuses on decision analysis, fuzzy systems, and consensus modeling in group decision-making. Past research included statistical distributions, fuzzy extensions of classical models (e.g., linear regression), and risk equity evaluation. Current interests involve consensus dynamics in group decisions, preference modeling, and the Analytical Hierarchy Process (AHP). Fedrizzi serves as a referee for journals like European Journal of Operational Research, Fuzzy Sets and Systems, and IEEE Transactions on Systems, Man, and Cybernetics. He organized the XXXII AMASES Conference (2008) and the International Workshop on Preferences and Decisions (2009). He was a member of the University of Trento’s Administrative Board (2004–2008) and reviewed PhD theses at institutions like Åbo Akademi University (Finland) and the University of Padova.

Fabio Angelo Maccheroniمشاهده پروفایل

استاد

• Decision Theory
• Game Theory
• Mathematical Economics
• +۵ مورد دیگر

Summary Fabio Angelo Maccheroni is a Full Professor at Bocconi University's Department of Decision Sciences, affiliated with the IGIER research center. He holds a Laurea in Mathematics from the University of Milan (1995) and a PhD in Applied Mathematics from a joint program of several Italian universities (1999). His research focuses on decision theory, game theory, mathematical economics, and ambiguity aversion, with contributions to risk analysis and behavioral economics. He has been recognized with awards including the Economic Theory Fellow (2019) and the Carlo Alberto Medal (2010). Education: University of Milan (Laurea), Joint PhD Program (1999) Professional Roles: Full Professor since 2005, IGIER Fellow since 2008 Research interests include axiomatic foundations of decision making, ambiguity preferences, and applications to finance and insurance. His work bridges economics, mathematics, and neuroscience, particularly through diffusion models of decision processes. Over 50 journal articles span top venues like Econometrica , Journal of Economic Theory , and Management Science . Awards Economic Theory Fellow (2019) Cours Bachelier (2012) Carlo Alberto Medal (2010)

• Financial Mathematics
• Mathematical Finance
• Optimization Methods
• +۳ مورد دیگر

Sergio Scarlatti is a Professor at the University of Rome Tor Vergata, specializing in Mathematics for Economics and Finance (SECS-S/06). He teaches courses such as GREEN FINANCE, MATEMATICA FINANZIARIA (Financial Mathematics), and METODI DI OTTIMIZZAZIONE PER L'ECONOMIA E LA FINANZA (Optimization Methods for Economics and Finance) across Bachelor and Master's programs. His office hours are on Mondays from 16:00 to 17:00 in room P1 S34. His research interests focus on quantitative finance, mathematical modeling in economics, and optimization techniques applied to financial systems. He is involved in academic programs including the Master of Science and Bachelor Degree courses, contributing to both teaching and research activities. No specific scientific awards or grants are explicitly mentioned in the provided text.