جست‌وجوی استاد و پژوهشگر

• Alkaptonuria
• Proteomics
• Rare Diseases
• +۳ مورد دیگر

Daniela Braconi is an Associate Professor at the Department of Biotechnology, Chemistry and Pharmacy, University of Siena. Her office is located at Polo Scientifico San Miniato, Via Aldo Moro 2, where she conducts research and teaches courses including Advanced Biological Chemistry and Applied Biochemistry . She holds virtual office hours via Webex for appointments. Her research focuses on biochemical mechanisms of rare diseases, particularly alkaptonuria , employing multi-omics approaches (proteomics, metabolomics) and computational models. Key interests include: Molecular pathology of metabolic disorders Oxidative stress and inflammation biomarkers Therapeutic development for rare diseases Machine learning applications in clinical stratification Protein misfolding and amyloidosis Braconi's recent publications demonstrate a strong emphasis on translational research , with recurring themes in: Characterizing alkaptonuria disease mechanisms Evaluating nitisinone therapy outcomes Developing digital platforms for rare disease management Integrating clinico-molecular data via computational biology

• Power Quality
• Analog-to-Digital Conversion
• Digital-to-Analog Conversion
• +۷ مورد دیگر

Antonio Moschitta is an Assistant Professor at the Department of Engineering, University of Perugia, Italy. His research focuses on Power Quality, analog/digital conversion, Indoor Positioning, and Estimation Theory. He has authored over 100 papers in international journals and conferences. Ph.D. from University of Perugia (2002) Chair of IEEE Systems Council Italian Chapter Co-chair of 2012 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems Research interests span advanced measurement systems for biomedical and energy applications, including magnetic positioning, battery diagnostics, and signal processing. His recent work addresses AI-based measurement uncertainty, wireless sensor networks, and quantized signal analysis. Key article trends include: Battery Technology : Impedance spectroscopy, SOC estimation, degradation modeling Positioning Systems : Magnetic and ultrasonic localization, wearable devices for tremor detection Signal Processing : Quantization-based algorithms, parameter extraction, noise compensation Environmental Monitoring : Soil pollution mapping, energy systems for water heating Scientific roles include leadership in IEEE initiatives and contributions to the PRIN 2015 project on 6-DOF finger tracking. Collaborative efforts involve universities in Brescia and Cassino.

EWAN THOMASمشاهده پروفایل

دانشیار

• Sports Science
• Exercise Physiology
• Neuromuscular Adaptation
• +۵ مورد دیگر

Ewan Thomas is an Associate Professor at the Department of Psychological, Pedagogical, Physical Exercise and Training Sciences, School of Medicine and Surgery, University of Palermo. His research focuses on exercise physiology, stretching and foam rolling mechanisms, postural control, and physical fitness assessment across age groups. He teaches courses on motor activity methodologies, functional evaluation, human morphology, and movement theory. Key Research Areas: Muscle adaptation, sports injury prevention, neuromuscular responses, health promotion through physical activity Current Projects: Investigating stretching’s glucose-lowering effects, machine learning in soccer injury prediction, and digital media for physical activity promotion Scientific Contributions: Authored 40+ publications on stretching, foam rolling, and sports performance. His 2024 meta-analysis on stretching and blood glucose highlights non-pharmacological interventions. Recognized with the 2021 Young Investigator Award at the Italian Society of Experimental Biology. Departmental Roles: Delegate for Sports Sciences Degree Courses, Digital Skills representative for the forTHEM Project, and PhD program faculty member in Health Promotion and Cognitive Sciences.

• Gearing and mechanical power transmissions
• Noise & vibration phenomena in machines
• Vehicle dynamics
• +۴ مورد دیگر

Domenico MUNDO is a Full Professor at the Department of Mechanical, Energy and Management Engineering, University of Calabria. His research focuses on mechanical transmissions, vehicle dynamics, vibration analysis, and mechatronic systems. As Head of the Dynamics of Mechanical Systems Lab and Department Deputy for Research, he leads multiple EU-funded projects. PhD in Computational Mechanics (2004) 5-year Degree in Mechanical Engineering cum Laude (1999) Research interests span: Design of advanced mechanical transmissions Noise & vibration characterization in composite materials Kinematic synthesis for automotive and rehabilitation applications Multibody simulation techniques for vehicle dynamics Recent publications emphasize biomechanical rehabilitation devices and composite material modeling. He has coordinated major EU projects like DEMETRA (€1.235M) and INTERACTIVE (€1.344M), focusing on transmission optimization and vehicle concept modeling. Active in editorial roles (Mechanism and Machine Theory) and international conferences, he supervises 9 PhD students and 13 research fellows.

• Robotics
• Biomedical Engineering
• Applied Mechanics
• +۴ مورد دیگر

Michele Perrelli is a Researcher at the University of Calabria , affiliated with the Department of Mechanical, Energy and Management Engineering . His work bridges robotics, biomedical engineering, and applied mechanics, focusing on innovative rehabilitation technologies and mechanical system optimization.

Mauro DELL'AMICOمشاهده پروفایل

استاد

• Operations Research
• Combinatorial Optimization
• Vehicle Routing
• +۶ مورد دیگر

Mauro DELL'AMICO is a Full Professor in the Department of Engineering Sciences and Methods at the University of Modena and Reggio Emilia (UNIMORE), where he serves as a leading member of the Operations Research Group. His academic position is formally within the Department of Engineering Sciences and Methods, with teaching assignments also extending to the Department of Engineering "Enzo Ferrari" for specific engineering programs. Professor DELL'AMICO's research expertise centers on Operations Research (MATH-06/A), with a particular emphasis on combinatorial optimization and its practical applications. His work spans multiple critical domains including vehicle routing problems (especially drone-assisted delivery systems), scheduling theory , bin packing problems , and network optimization . A recent trend in his research involves the innovative integration of machine learning techniques with traditional optimization approaches to solve complex real-world logistics challenges. His publications consistently demonstrate how theoretical advances in operations research can be translated into practical solutions for transportation, manufacturing, and urban logistics systems. Analysis of Professor DELL'AMICO's recent publication record (2023-2025) reveals a focused research trajectory addressing emerging challenges in logistics optimization. His extensive work on drone scheduling and vehicle routing problems represents cutting-edge contributions to last-mile delivery systems, while his papers on precedence-constrained arborescences and mathematical modeling demonstrate deep theoretical contributions to network optimization. The integration of self-supervised learning with combinatorial optimization, as showcased in his 2024 paper "Self-Labeling the Job Shop Scheduling Problem," illustrates his ability to bridge traditional operations research with modern artificial intelligence techniques. Professor DELL'AMICO actively contributes to academic education through multiple courses across UNIMORE's engineering programs. He teaches "Operations Research" for Computer Engineering and Electronic Engineering students, "Fundamentals of Operations Research" for Management Engineering students, and "Simulation, control and optimization for energetics" for the Master's program in Energy Engineering. His teaching approach emphasizes practical applications of optimization techniques to real engineering problems, preparing students to tackle complex decision-making challenges in industry. As a central figure in the UNIMORE Operations Research Group, Professor DELL'AMICO collaborates extensively with researchers across Europe on optimization projects with practical applications in transportation logistics, manufacturing systems, and sustainable urban mobility. His research has significant real-world impact, addressing challenges in electric vehicle infrastructure, urban delivery systems, and manufacturing optimization. The group maintains a strong focus on developing innovative mathematical models and solution algorithms for complex combinatorial problems encountered in engineering and business applications.

Maurizio Righettiمشاهده پروفایل

استاد

• Hydraulic Engineering
• Water Resources Management
• Climate Change Impacts
• +۲ مورد دیگر

Maurizio Righetti is a Full Professor at the Free University of Bozen-Bolzano within the Faculty of Agricultural, Environmental and Food Sciences. His research integrates hydraulic engineering, climate change adaptation, and sustainable water management, with a focus on Alpine environments. Research Interests: Righetti's work spans: Hydraulic systems optimization (e.g., sediment flushing, water distribution networks) Climate model bias correction for hydrological forecasting Renewable energy integration in water infrastructure Machine learning applications in ecohydraulics and resource management Impacts of hydropeaking and climate change on river ecosystems Recent Publications: His 15 most recent articles (2024-2025) demonstrate strong trends in: sediment dynamics modeling, AI-driven leak detection in water networks, climate data processing, and hybrid energy-water systems. Over 60% leverage machine learning, reflecting a shift toward data-centric environmental solutions. Engagement: He co-founded AIAQUA (unibz's water management spin-off) and leads public initiatives like "Action For Climate" to address climate-water linkages in Alpine regions.

Maksim Kitsakمشاهده پروفایل

دانشیار

• Network Science
• Complex Networks
• Hyperbolic Geometry
• +۶ مورد دیگر

Maksim Kitsak is an Associate Professor (tenured) at the Faculty of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology. He serves as the M.Sc. Program Coordinator for the Wireless Communication and Sensing track and is an Editorial Board Member for Nature Scientific Reports and IEEE Transactions on Network Science and Engineering. He also co-chairs the Dutch Network Science Society. Dr. Kitsak earned his Ph.D. in Physics from Boston University in 2009, advised by Prof. H.E. Stanley and Prof. S. Havlin. His academic career includes positions at Northeastern University, Dana-Farber Cancer Institute, and University of California San Diego before joining Delft University of Technology in March 2020 as a tenure-track Assistant Professor, achieving tenure in May 2022. His research spans network science with expertise in complex networks, hyperbolic geometry, epidemic spreading, and network resilience. He has pioneered work on using latent geometric spaces to understand network structure and function, with applications in communication networks, pandemic forecasting, and molecular biology. His influential 2010 Nature Physics paper on identifying influential spreaders in networks challenged conventional wisdom and spurred significant follow-up research. His publication record shows a strong trajectory with recent work focusing on hyperbolic geometry applications across multiple dimensions, network resilience in transportation systems, and epidemic modeling. His research has appeared in high-impact journals including Nature Communications, Nature Scientific Reports, and Physical Review journals, demonstrating both theoretical depth and practical applications. NWO VICI research grant for studying shortest paths in large incomplete networks Dutch Research Council (NWO) funding for "Mathematical Description and Inference of Complementarity Mechanisms in Complex Networks" Seed funding from TU Delft Safety and Security Institute for privacy and security theory Dr. Kitsak actively mentors students including Ph.D. candidates Roberto Gheda (Federated Learning, AI, and Privacy), Yongdin Tian (decentralized Machine Learning), and Elizaveta Evmenova (complementarity principles in networks), as well as M.Sc. students. His research group at Delft University of Technology focuses on advancing network science theory while applying insights to real-world problems in communication networks, network medicine, and pandemic response, with two current postdoctoral openings funded by the NWO VICI grant.

• Agro-biodiversity conservation
• Agricultural economics
• Sustainable food systems
• +۵ مورد دیگر

Claudio Acciani is a Researcher at the Department of Soil, Plant, and Food Sciences (Di.SSPA) at the University of Bari (UNIBA). His work bridges agricultural economics, environmental policy, and rural development through empirical analyses and multidisciplinary frameworks. Research Focus : Agro-biodiversity conservation economics Aquaculture multifunctionality modeling Sustainable land/water management Consumer behavior in agrifood markets Climate-resilient agricultural systems Recent Publication Trends reveal expertise in: 2024 studies on ecosystem service valuation in Mediterranean basins 2023 work on Mediterranean diet adherence patterns 2022 economic analyses of drought-resistant crops and community composting 2016 territorial assessments of olive landrace conservation Methodological Approaches include latent class modeling, k-means clustering, choice experiments, and data mining techniques applied to agrifood systems and real estate valuation.

• Computer Science
• Cybersecurity
• Edge and Cloud Computing
• +۴ مورد دیگر

Luca Ferretti is an Associate Professor at the University of Modena and Reggio Emilia , affiliated with the Department of Physical, Computer and Mathematical Sciences . His research focuses on cybersecurity, edge/cloud computing, and machine learning applications in security. Office located in the former Mathematics campus (Building MO18, third floor), Modena, Italy Scientific disciplinary sector: INFO-01/A Computer Science Research areas include: Edge and Fog Computing Automotive Cyber Security Security for Industry 4.0 Security for Machine Learning and Machine Learning for Security Applied Cryptography for Network and Information Security Luca is a core member of the SECloud (Security Edge and Cloud Lab) , which operates within the Department of Engineering 'Enzo Ferrari' and collaborates with the Interdepartmental Research Center on Security and Risk Prevention (CRIS). His recent publications highlight applications of adversarial AI, decentralized systems, and secure automotive communication protocols.

Fabio Pellaciniمشاهده پروفایل

استاد

• Computer Graphics
• Computer Science
• 3D Design
• +۳ مورد دیگر

Full Professor of Computer Science at the University of Modena and Reggio Emilia. Previously held faculty positions at Sapienza Università di Roma (Associate and Full Professor), Dartmouth College (Assistant and Associate Professor), and Cornell University (Visiting Assistant Professor). Also worked in the R&D division of Pixar Animation Studios. Dr. Pellacini received an MS and Ph.D. in Computer Science from Cornell University and a Laurea degree in Physics from the University of Parma. His research focuses on using Computer Graphics methods to solve design problems, with emphasis on the design, creative and entertainment industries. His group combines algorithms and efficient systems to allow professional designers as well as novices to create 3D scenes with significantly less effort. They investigate algorithms based on numerical methods and machine learning to enable intuitive and interactive editing of complex environments. Key research areas include appearance design (patterns, materials, and lights), appearance fabrication, evaluation and visualization of designers' workflows, and cloud-based collaborative design. His recent publications demonstrate a strong focus on procedural modeling, appearance design, and collaborative 3D content creation. His work bridges the gap between theoretical computer graphics research and practical applications for designers and artists, with significant contributions to node-based editing systems, boolean operations on surfaces, and differentiable rendering techniques for appearance design. NSF CAREER Award Alfred P. Sloan Fellowship Nominated as Junior Faculty Fellow for Sapienza's Scuola Superiore di Studi Avanzi Dr. Pellacini has supervised numerous students and has been actively involved in research grants related to computer graphics and design systems. He teaches Computer Graphics, Introduction to Scientific Python, and Programming courses at the University of Modena and Reggio Emilia, continuing a long teaching career that spans multiple institutions including Sapienza University of Rome and Dartmouth College. He leads a research group focused on developing innovative tools for 3D design and content creation, with applications spanning from entertainment to industrial design. His work on collaborative design systems, appearance editing interfaces, and procedural modeling techniques continues to shape how designers interact with 3D content creation tools.

• Numerical Analysis
• Optimization
• Machine Learning
• +۵ مورد دیگر

Federica Porta is an Associate Professor at the Department of Physical, Computer and Mathematical Sciences, University of Modena and Reggio Emilia. Her academic career focuses on numerical analysis, optimization, and stochastic gradient methods, particularly in machine learning and image restoration. Her research interests include: Numerical Analysis and Statistics for Computer Engineering Numerical Optimization for Artificial Intelligence Stochastic Gradient Descent with Variance Control Deep Image Prior Frameworks Regularization Techniques for Biomedical Imaging Federica's recent publications (2021–2025) demonstrate expertise in hybrid gradient projection methods, adaptive learning rate selection, and deep learning applications for image segmentation and classification. She collaborates extensively with researchers like Giorgia Franchini, Valeria Ruggiero, and Luca Zanni, applying these methods to both convex and non-convex optimization problems. She teaches courses such as Numerical Analysis and Statistics for Computer Engineering, Numerical Analysis for Mathematics, and Numerical Optimization for Artificial Intelligence. Her teaching emphasizes MATLAB/Python implementation of numerical methods, convergence properties, and computational complexity analysis. Contact: federica.porta@unimore.it | Office: Mathematics Building, Via Campi 213/b

• Physical Geography
• Geomorphology
• Climate Change
• +۶ مورد دیگر

Mauro Soldati is a Full Professor in the Department of Chemical and Geological Sciences at the University of Modena and Reggio Emilia, specializing in Physical Geography and Geomorphology (GEOS-03/A). His research and teaching focus spans multiple areas including geomorphology, climate change impacts, geological hazards, and geoheritage. Based in Modena, Italy, he maintains an active research program with numerous publications in leading journals. Soldati's research interests include Physical Geography , Geomorphology , Climate Change , Landslides , Geological Hazards , Coastal Processes , Geoheritage , and Earth Surface Processes . His work demonstrates particular expertise in landslide dynamics, geomorphological risk assessment, and the application of remote sensing techniques to geomorphological problems. He has conducted extensive research in the Mediterranean region, particularly in the Northern Apennines and Maltese Islands. Analysis of his recent publications (2022-2025) reveals a strong focus on interdisciplinary research connecting geomorphology with climate change impacts, cultural heritage preservation, and risk assessment. His work integrates traditional field methods with advanced technologies like SAR interferometry, machine learning, and virtual reality applications. Key themes include landslide susceptibility mapping, coastal vulnerability assessment, glacial history reconstruction, and the development of new methodologies for geoheritage evaluation. Soldati has made significant contributions to understanding the relationships between geological processes and societal challenges, particularly through his work on landslides affecting cultural heritage sites, climate change impacts on coastal areas, and the geographical factors influencing pandemic spread. His research demonstrates a consistent commitment to applying geomorphological knowledge to practical problems of societal relevance. As an educator, Soldati teaches courses including 'Ecology and global changes' for the Master's Degree in Science Teaching and Communication and 'Geomorphology and climate change' for Geological Sciences students. His teaching emphasizes both theoretical knowledge and practical application of geomorphological concepts.

• Finite Element Analysis
• Light Emitting Diodes
• Machine Learning
• +۵ مورد دیگر

Paolo Bardella is an Associate Professor at the Department of Electronics and Telecommunications (DET), Politecnico di Torino, and Vice Coordinator of the School of Electronic, Telecommunications and Physics Engineering. He leads the Interdepartmental Center Photonext on Applied Photonics and chairs the NUSOD conference committees. Research focus: Semiconductor lasers for optical frequency combs, photonic integrated circuits, machine learning applications in photonics, and thermal/optical control systems Key projects: SCIPIO (Phase-Change Material Photonics), MIRABILIS (Mid-Infrared Imaging), COMBlaser (Quantum Dot Laser Simulation) His recent publications (2023-2025) highlight trends in photonic computing with MZI meshes, thermal crosstalk mitigation, and machine learning-aided optical device modeling. Awards include IEEE Best Paper (2013), NUSOD Top Papers (2016/2021), FFABR Grant (2017), and Optics Letters Editors' Pick (2019). Supervises 7 PhD students in advanced photonic component design and biomedical applications. Honors: IEEE Best Paper Award (2013) NUSOD Top 10 Paper (2016, 2021) FFABR Grant (2017) Optics Letters Editors' Pick (2019) Editorial Roles: Associate Editor - Photonics (2020-) Editor - Open Science Journal (2019-) Guest Editor - Optical and Quantum Electronics (2017-2018)

• Machine Learning
• Neural Networks
• Data Science
• +۳ مورد دیگر

Giulia Fracastoro is a Fixed-term Assistant Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino , where she contributes to teaching and research in Systems and Control Engineering (scientific sector IINF-04/A). Her research focuses on Machine Learning , Neural Networks , and Multimedia Signal Processing , with a strong emphasis on Deep Learning and Automatic Control applications. Teaching Roles: Course Lecturer for Discrete-Event Models and Systems in Computer Engineering (2021–2025), Automatic Controls in Electronic Engineering (2024–2025), and collaborations on courses like Optimization for Machine Learning . Research: Member of the Automatica (DET) research group , supervised PhD student Luca Savant Aira , and contributed to projects involving neural implicit world models , image/video processing , and deep neural network sparsification . Her publications span topics such as financial network stability, 3D super-resolution, and neural network quantization, reflecting interdisciplinary applications of machine learning. She holds multiple patents for image/video encoding/decoding technologies and has co-authored works with researchers like Enrico Magli and Sophie Fosson.