Areas

Applied Physics
Applied physics

Research activities in applied physics include medical imaging and cultural heritage applications. The first include advanced Magnetic Resonance Imaging techniques, as Diffusion Tensor Imaging and functional MRI, Optical Imaging, including Cerenkov Imaging, Positron Emission Tomography and multi-modal imaging approaches to biomedical problems. Cultural heritage applications are focused on the implementation and use of optical techniques for nondestructive diagnostics including: multi-modal imaging in infrared/thermal bands, multispectral imaging, three dimensional survey of surfaces through laser conoscopy micro-profilometry, characterization of art works through infrared spectroscopy.

Experimental condensed matter physics
Condensed matter physics

The research activity within the area of the Experimental Physics Group at Verona University concerns the study of mesoscopic phenomena in condensed matter physics. Our research topics span over the study of structural and dynamical (mechanical, vibrational, electrical, electronic and optical) properties of solid state systems, either in form of crystalline compounds or of composite nanostructured films, of bio-molecular systems, and advanced optical materials. Specifically, current research topics are: (i) Study and development of photonic devices and energy generators using piezoelectricity at the nanoscale, for self-powered devices in biomedical applications. (ii) Development of functional nanostructured films for photovoltaic applications. (iii) Development of spatial light modulators with high contrast of refractive index in the near infrared and of multipurpose advanced optical techniques. (iv) Interdisciplinary applications of Infrared Spectroscopy and Microspectroscopy including use of multivariate statistical analysis techniques. (v) Study of vibrational dynamics of micro-crystalline solids. (vi) Study of the optical and electronic properties of nano-structured systems for opto-electronics and bio-medical applications.

Applied Computing
Applied computing standard compliant  ACM 2012

The Applied Computing area aims to develop and experiment computational models, computational platforms and algorithms arising in different contexts of applications originating from bioinformatics, biomedical informatics, robotics and multimedia systems. Concerning bioinformatics and biomedical applications, research focuses on several topics, as computational systems biology, natural computing, computational genomics, algorithmic bioinformatics, healthcare and clinical process-aware information systems, clinical databases and data warehouses, clinical data mining. Applied research in robotics deals mainly with applications for service robotics and field robotics, including all robotic systems that are not concerned with manufacturing operations: robotic surgery, exploration, elderly and disabled care, logistics and countermeasures against disaster and terrorism. Multimedia applications are related to biomedical data analysis and videosurveillance, investigating advanced techniques of image and signal processing, computer graphics and visualization, computer vision, machine learning and statistical pattern recognition.

Theory of computation
Theory of computation standard compliant  ACM 2012

The Department's research in this area covers a rich variety of topics, including: automated reasoning, computability, concurrency, cryptographic protocols, design and analysis of algorithms, equational logic and rewriting, logic and verification, modal and temporal logics, pattern matching, probabilistic computation, program analysis, program semantics, proof theory, quantum computation theory, rewrite systems, verification by model checking.

Software Engineering and Security
Security and privacy - Software and its engineering standard compliant  ACM 2012

The Department's research in this area covers a rich variety of topics, including: automated static analysis, cryptography, formal language definitions, formal methods, formal security models, formal software verification, logic and verification, malware and its mitigation, massively parallel systems, network security, parallel programming languages, security protocols, security services, semantics, social aspects of security and privacy, software and application security, software architectures, software functional properties, software reverse engineering, software system models, software verification and validation, system description languages, trust frameworks, Unified Modeling Language (UML), web protocol security.

Mathematics - applications and modelling
Approximations and expansions - Calculus of variations and optimal control; optimization - Dynamical systems and ergodic theory - Global analysis, analysis on manifolds - Numerical analysis - Ordinary differential equations - Partial differential equations - Probability theory and stochastic processes - Real functions - Several complex variables and analytic spaces standard compliant  MSC

Research in this area inolves the mathematical modelling of complex continuous phenomena and the development of appropriate tools for their theoretical as well as numerical treatment. This involves the disciplines of Non-linear Analysis, Calculus of Variations, Optimal Control, Numerical Analysis as well as Mathematical Physics and Differential Geometry. Special emphasis is placed on the modelling of the complex phenomena that one encounters, for example, in the area of Financial Mathematics where the presence of stochastic behaviour requires the tools of Probability and Stochastic Analysis. The area enjoys numerous joint collaborations, both at the national as well as the international level, and its members participate in a variety of research projects involving a number of different sites.

Discrete and computational mathematics
Associative rings and algebras - Category theory; homological algebra - Combinatorics - Computer science - Convex and discrete geometry - Mathematical logic and foundations - Operations research, mathematical programming standard compliant  MSC

Different aspects of discrete mathematics are investigated both from an abstract and a computational point of view. Categorical, homological and combinatorial methods are combined to study associative algebras arising in different contexts, to deal with classification problems, and to investigate categories of algebraic or geometric nature that find application also in theoretical physics. Algorithms for effective computational solution of both discrete and continuous mathematical problems are being studied and developed. Special emphasis is given to the numerical solutuion of Partial Differential Equations as well as to applied interpolation and data fitting. We are also active in the Mathematics and algorithms for optimization, including Mathematical Programming and Combinatorial Optimization, particulary in the context of Operations Research. Foundations of mathematics are investigated both to understand and validate mathematical methods and to enhance the development of students’ learning. To this end, Mathematical Logic is studied to establish the potential and limits of formal languages. Special attention is dedicated to the investigation and presentation of relevant perspectives of mathematics in the curricula for teachers of Mathematics. Special emphasis is also given to the applications of logic to computer science.

Cyber-physical systems
Computer systems organization - Hardware - Networks standard compliant  ACM 2012

This research area aims at achieving the 3C convergence, i.e., the deep integration of computing, control and communication for the design of modern complex systems, which include cyberphysical, real-time, embedded, hardware and software subsystems, with applications ranging from robotics to automotive, avionics, energy, biology. The core research on computing aspects is related to modeling, verification and optimization of intelligent cyberphsical systems, with particular emphasis on models of computation, manipulation of description languages, semi-formal and formal verification, hardware and software automated synthesis and compilation, correct-by-construction refinement and optimization, fundamental CAD algorithms. System theory concepts are used to model dynamic systems, and to interface dynamic systems to computation elements and communication networks. They are mainly investigated from the point of view of the design of robotic tele-operated systems, virtual environments for surgical applications, mobile robots and multi-robot systems, and optimal co-design of communication and control strategies for networked and embedded control systems. Finally, research in communication is focused on the design, analysis and evaluation of network protocols and architectures, considering all layers, from data link, to routing, to congestion control, to overlay; moreover, with the so-called network synthesis, computation, communication and control aspects are addressed in a holistic way to face the complexity of large pervasive applications.

Information Systems
Human-centered computing - Information systems standard compliant  ACM 2012

This research area aims to develop and experiment new approaches regarding the information representation, manipulation and processing considering information systems contexts of different application areas. Theoretical studies are carried on in spatial, temporal and semistructured databases, but also in process modeling with particular emphasis on data and process modeling, query processing, data mining and data visualization, when space and time are involved. Case studies and application contexts are mainly focused on information systems in medicine, geographical information systems and process-aware information systems.

Machine Intelligence
Computing methodologies - Mathematics of computing standard compliant  ACM 2012

Research in the area of Machine Intelligence aims at developing and studying computational and mathematical models, algorithms, theories, and paradigms for analyzing, understanding, and modeling data, or more generally, reasoning about them. Key methodologies span across different interdisciplinary fields, such as artificial intelligence, symbolic computation, machine learning, signal and image processing, computer vision, and computer graphics. In more detail, in artificial intelligence topics of interest include knowledge representation and reasoning, intelligent agents and multi-agent systems, theorem proving and model building, as well as search methodologies, with emphasis on discrete space search. In machine learning main methods and approaches relate to graphical models, statistical learning and kernel theories, and multiclassifier methods for classification and clustering. In multi-dimensional signal processing the studied techniques regard advanced filtering, feature extraction and segmentation methods, multiresolution and sparse signal representations, time(space)/scale methods, including wavelets, compressive sensing, large scale image characterization and retrieval tools, related to both optical and multimodal images. Computer vision mainly exploits geometric and probabilistic approaches for 3D reconstruction, object recognition, dynamic scene analysis and understanding. Computer graphics relates geometric/physically-based theories for object modeling, shape analysis and visualization.
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