جستجوی استاد راهنمای دانشگاهی

• Robotics
• Automation
• Robotic Surgery
• +۵ مورد دیگر

Paolo Fiorini is a Full Professor at the Department of Engineering for Innovation Medicine, University of Verona, specializing in robotics, automation, and robotic surgery. His academic career spans multiple engineering disciplines with a focus on applying robotic technologies to unconventional areas such as medicine and surgery. Department: Department of Engineering for Innovation Medicine University: University of Verona Academic Sector: ING-INF/05 - Information Processing Systems Research Areas: Control Engineering, Robotics, Man-machine interfaces Professor Fiorini's research interests center around automation and robotics, particularly in medical applications. His work focuses on robotic surgery, developing new algorithms and designing surgical robots through a company he founded. He has expanded his research to apply medical robotics concepts to industrial applications through IoT and Industry 4.0 technologies. Current research directions include autonomous robotic surgery functions using big data analysis and machine learning methods to enable robots to collaborate with surgeons during interventions. His recent publications demonstrate strong trends in surgical robotics, autonomous systems, and the integration of AI techniques for medical applications. The research spans from fundamental control engineering to practical implementations in both medical and industrial settings, with particular emphasis on safety, human-robot collaboration, and real-time system performance. Professor Fiorini leads multiple research groups including: ForMe - Formal Methods for the Design of Engineering Systems Information Extraction for Robotic Surgery Robotics, Artificial Intelligence and Control He has secured significant research funding, including European Community grants for autonomous robotic surgery projects. His research portfolio includes numerous projects related to surgical robotics, industrial automation, and control systems, demonstrating both theoretical depth and practical implementation capabilities. Professor Fiorini directs the ALTAIR Laboratory and serves as the Internationalization Representative for his department. His teaching portfolio is extensive, covering courses in robotics, dynamic systems, and system theory across multiple degree programs including Computer Engineering, Bioinformatics, and Medicine.

• Artificial Intelligence
• Machine Learning
• Pattern Recognition
• +۳ مورد دیگر

Pietro Lovato serves as a Temporary Professor in the Department of Computer Science within the School of Science and Engineering at the University of Verona. His academic work focuses on Information Processing Systems (ING-INF/05), with active teaching responsibilities across multiple degree programs including Human Centered Medical System Engineering, Computer Science and Engineering, and Bioinformatics. Dr. Lovato's research centers on advancing beyond traditional text representation models, particularly through his BeBoW (Beyond the Bag of Words) project that examines structural and statistical perspectives in information processing. His work spans artificial intelligence, machine learning, pattern recognition, and information retrieval systems with applications in bioinformatics and medical text analysis. His research demonstrates a consistent focus on developing more sophisticated models that capture contextual and structural information beyond simple word frequency approaches. His publication record from 2010-2019 shows a progression from traditional information retrieval techniques toward more complex neural network architectures and structural analysis methods. This evolution reflects broader trends in the field moving from statistical models to deep learning approaches while maintaining a focus on practical applications in specialized domains. Dr. Lovato contributes to several research laboratories at the university including the Networked Embedded Systems (NES) Laboratory and the ALTAIR Laboratory, where his work intersects with electronic systems design and parallel computing. His teaching portfolio includes both theoretical coursework and laboratory components, indicating a hands-on approach to student education in artificial intelligence and machine learning.

Gianni Bianchiniمشاهده پروفایل

دانشیار

• Control Systems Theory
• Aerospace Control
• Smart Grids
• +۵ مورد دیگر

Gianni Bianchini is an Associate Professor at the University of Siena, affiliated with the Department of Information Engineering and Mathematics. His research focuses on control systems theory, aerospace control, smart grids, and haptics. He holds a PhD in Control Systems Engineering from the University of Bologna (2001) and a bachelor's degree in Electronic Engineering from the University of Florence (1997). He teaches courses on Advanced Control Systems and Digital Control at the master's and undergraduate levels. His research emphasizes Model Predictive Control (MPC), spacecraft trajectory optimization, renewable energy systems, and energy management in smart buildings. Notable contributions include robust MPC algorithms for autonomous rendezvous, optimal solar energy storage systems, and haptic interface design. His work often bridges theoretical control methodologies with practical applications in aerospace and energy sectors. Recent publications (2022–2025) highlight advancements in variable-horizon MPC for spacecraft guidance, solar battery optimization, and renewable energy communities. He collaborates with groups like the Systems and Control, Smart Grids, and Aerospace teams at his department. No scientific awards are explicitly mentioned, though his extensive publication record underscores his scholarly impact.

Angelo Cenedeseمشاهده پروفایل

دانشیار

• Robotics
• Control Systems
• Multi-Agent Systems
• +۵ مورد دیگر

Angelo Cenedese is an Associate Professor at the Department of Information Engineering (DEI), University of Padova, and leads the SPARCS Lab (Flying Arena and Mobile Robotics Laboratory). He co-leads the NAVLAB (Autonomous Navigation Laboratory) and holds senior roles in IEEE societies, including the Control Systems Society (CSS) and Robotics and Automation Society (RAS). His academic activities span teaching, editorial work as Associate Editor for IEEE Transactions on Industrial Informatics, and leadership in research projects focusing on robotics, control systems, and multi-agent networks. His research interests include robotics , control systems , multi-agent coordination , computer vision , autonomous navigation , and industrial automation . His recent publications emphasize machine learning for industrial vision systems, adaptive control in aerospace robotics, distributed state estimation , and secure UAV navigation under GNSS spoofing. Key trends involve edge computing , collaborative robotics , and AI-driven optimization . Scientific Awards: Award for 'Most Innovative Application' at Quality Control by Artificial Vision Conference (QCAV 2019) His projects include AI in Manufacturing (AIMS5.0), Sustainable Mobility (PNRR-MOST), and 6G Networking (PREDICT-6G), often in collaboration with Italian and international institutions. Teaching roles cover Robotics and Control , Networked Control Systems , and Computer Vision courses at both undergraduate and graduate levels.

Giulia De Pasqualeمشاهده پروفایل

استادیار

• Control Systems
• Social Network Analysis
• Optimization Algorithms
• +۳ مورد دیگر

Giulia De Pasquale is an Assistant Professor at the Department of Electrical Engineering, Eindhoven University of Technology, specializing in Control Systems. Her research focuses on social network interventions, optimization algorithms, and fairness in AI systems. She leads the Control Systems Group, addressing challenges in distributed control, hypergraph reconstruction, and ethical algorithm design. Her work integrates machine learning, network science, and control theory to develop fair and safe recommendation systems. Recent projects include hypergradient-based optimization for social network interventions and optimal transport approaches to fairness in influence maximization. She actively collaborates with institutions like Santa Fe Institute and UC San Diego. Giulia organizes interdisciplinary workshops on algorithmic fairness and has presented at NeurIPS, CDC, and NetSci. She advises PhD students like Alessandro Casu and hosts visiting scholars such as Camilla Quaresmini. Her research has been published in prestigious venues including Nature Communications and ICML.

Francesco Amigoniمشاهده پروفایل

پژوهشگر

• Robotics
• Multi-Agent Systems
• Machine Learning
• +۳ مورد دیگر

Francesco Amigoni is affiliated with the Department of Electronics, Information and Bioengineering (DEIB) at Politecnico di Milano. His research focuses on robotics, multi-agent systems, and machine learning, with applications in autonomous systems, anomaly detection, and energy systems. He has contributed to advancements in multi-agent coordination, path planning, and predictive maintenance through interdisciplinary approaches. Key research areas include: Multi-Agent Systems: Task allocation, cooperative robotics, and deadlock prevention in dynamic environments Machine Learning: Anomaly detection, transfer learning, and neural networks for battery lifecycle analysis Autonomous Robotics: Exploration strategies, SLAM algorithms, and map completeness estimation Data Mining: NLP-driven classification of road accidents and healthcare system analysis His work bridges theoretical foundations with real-world applications, addressing challenges in energy systems, environmental monitoring, and healthcare management. Recent studies highlight innovations in lithium-ion battery prognostics and swarm robotics fault detection.

Vincenzo Cagliotiمشاهده پروفایل

استاد

• Computer Vision
• Robotics
• Image Processing
• +۵ مورد دیگر

Vincenzo Caglioti is a Professor at the Department of Electronics, Information and Bioengineering (DEIB) of Politecnico di Milano. His research focuses on computer vision, robotics, and image processing, with emphasis on motion analysis, sensor fusion, and multi-robot systems. He has contributed extensively to fields such as augmented reality, motion blur recovery, and uncalibrated camera systems. Key research areas include: Development of algorithms for 3D reconstruction from motion-blurred images Design of efficient exploration strategies for mobile robots Integration of sensor data for environmental monitoring and autonomous navigation Analysis of geometric properties in catadioptric systems His work spans theoretical advancements in computer vision alongside practical applications in robotics and surveillance. Over 30 years of publications demonstrate a sustained contribution to advancing perception systems for autonomous systems. No scientific awards explicitly listed in provided texts Labs/Teams: Likely affiliated with DEIB's Robotics and Computer Vision research groups, though specific lab names not explicitly stated in text.

• Aerospace Engineering
• Climate Change Impacts on Aviation
• Space Technologies
• +۳ مورد دیگر

Marianna Valente is an Assistant Professor at Politecnico di Torino, Italy, affiliated with the Department of Management and Production Engineering. Her research bridges aerospace engineering, climate science, and space technology applications, with a particular focus on how climate change impacts aviation systems and how space-based solutions can address these challenges. Dr. Valente's research interests center on aerospace engineering applications with climate relevance. Her work spans satellite data analysis for atmospheric monitoring, structural dynamics of aerospace components, and climate change impacts on aviation operations. She has developed methodologies for assessing gust spectra via satellite data, analyzing membrane structure vibrations, and monitoring turbulence for aviation safety. Her research demonstrates how space technologies can provide critical data for adapting aviation systems to changing climate conditions. The publication trends show consistent output from 2023-2025, with research spanning both theoretical structural analysis and practical climate-aviation applications. Her work appears in reputable aerospace and engineering venues, indicating recognition within these fields. The research demonstrates a progression from fundamental structural analysis to increasingly applied climate-aviation-space technology integration. Dr. Valente's research has garnered international attention, with significant engagement from North American, European, and Asian institutions. Her work appears particularly relevant to aerospace industry stakeholders and climate adaptation researchers, as evidenced by the geographical distribution of interest in her publications. Her advising approach likely emphasizes interdisciplinary research that connects engineering fundamentals with real-world climate challenges. Given her publication record, she probably encourages students to work at the intersection of aerospace engineering, data science, and climate impacts, preparing them for careers addressing some of aviation's most pressing contemporary challenges. Dr. Valente leads the Aerospace and Climate Impact Research Group, which focuses on applying space-based technologies to understand and mitigate climate effects on aviation systems. The group's work combines satellite data analysis, structural engineering principles, and climate science to develop practical solutions for the aviation industry facing changing atmospheric conditions.

Didier Galmicheمشاهده پروفایل

استاد

• Computer Science
• Proof Theory
• Automated Deduction
• +۲ مورد دیگر

Didier Galmiche is a Professor of Computer Science at Université de Lorraine, where he serves as Scientific Leader of the TYPES Group (Logic, Proof Theory and Programming) and Director of the Master Programme in Computer Science. He directs the DEPEND Erasmus Mundus Joint MSc in Advanced Systems Dependability. His research centers on computational logic, automated deduction, and formal verification, with specific interests in proof-search methods, substructural logics, and logical modeling of concurrent systems. The TYPES group develops software tools for theorem proving including IBiS, SigBi, STRIP, and BILL. Recent publications focus on separation logic, epistemic logics, and tableaux methods, demonstrating applications in program verification and automated reasoning. His work shows consistent innovation in proof-theoretic approaches across intuitionistic, linear, and non-commutative logics. He leads multiple research initiatives including the OPERATION CONTRA project studying logical methods for system reliability. No scientific awards are mentioned in the provided materials. Galmiche heads the TYPES group at LORIA UMR 7503, collaborating with researchers including Nicolas Biri and Daniel Mery.

• Internet of Things (IoT)
• Quantum Computing
• Wireless Sensor Networks (WSN)
• +۴ مورد دیگر

Filippo Gandino is an Associate Professor at Politecnico di Torino, affiliated with the Department of Automatic Control and Computer Science (DAUIN) and the Interdepartmental Centre PIC4SeR for Service Robotics. He is a member of the College of Biomedical Engineering and the College of Computer, Cinema and Mechatronics Engineering. His research focuses on Internet of Things (IoT), Quantum Computing, and Wireless Sensor Networks (WSN), with a particular emphasis on pervasive computing and healthcare applications. He has been recognized with the Best Paper Award from the 6th International Conference of Broadband and Wireless Computing, Communication and Applications (BWCCA-2011). Professor Gandino teaches courses in Algorithms and Object-Oriented Programming, Computer Science, and Electronic Calculators across multiple engineering programs, including Aerospace, Cinema, and Computer Engineering. His academic contributions include supervising PhD student Pietro Chiavassa, whose thesis addresses security and reliability in pervasive computing. His work spans interdisciplinary projects, such as IoT-based environmental monitoring systems and quantum computing optimization algorithms. His research explores cutting-edge areas like secure intermittent computing, particulate matter measurement techniques, and quantum PCI planning. He actively contributes to IEEE conferences and journals, focusing on sensor networks, cybersecurity, and distributed systems. His lab, CAD - Electronic CAD & Reliability Group (DAUIN), drives innovations in electronic design and reliability engineering.

• Mathematical Analysis
• Optimal Control Theory
• Calculus of Variations
• +۴ مورد دیگر

Mauro Bonafini is a Temporary Assistant Professor at the Department of Engineering for Innovation Medicine, University of Verona. His research focuses on geometric variational problems, optimal transport theory, and hyperbolic partial differential equations. Current academic rank: Assistant Professor (Mathematical Analysis) University: University of Verona Research groups: Analysis of PDE and Calculus of Variations His research projects include: Geometric Measure Theoretical approaches to Optimal Networks (since 2018) Geometric evolution of curves, surfaces and networks (since 2017) Stochastic Partial Differential Equations and Stochastic Optimal Control with Applications to Mathematical Finance (since 2016) Teaching activities: Mathematical analysis (6 credits, 2025/2026) Optimization (6 credits, 2025/2026) Mathematical Analysis II (12 credits, 2024/2025) Previous courses in Mathematical Analysis I and II across multiple academic years Email: mauro.bonafini@univr.it

• Artificial Intelligence
• Cybersecurity
• Formal Methods
• +۴ مورد دیگر

Matteo Cristani is an Associate Professor at the University of Verona 's Department of Computer Science , where he teaches courses in Artificial Intelligence , Semantic Web , and Programming across multiple degree programs including Bioinformatics, Computer Science, and Artificial Intelligence. His research focuses on Knowledge Representation , NLP , and Formal Security Analysis , with applications spanning from blockchain technology to geospatial systems. Research Focus Intelligent agents and multi-agent systems Distributed artificial intelligence Formal methods in security theory Network security and cybersecurity NLP and large language models Ontology engineering Projects Active in third-mission activities, Cristani leads projects such as SHIELD (Securing Decentralized Finance and Healthcare Systems), SLOTS (Smart Legal Order in Digital Society), and NOMEN (Next-Gen Cyber Ranges). He has participated in 30+ research initiatives since 2001, including PRIN grants and industrial collaborations in semantic web applications.

• Bioinformatics
• Computational Biology
• Graph Algorithms for Biological Networks
• +۷ مورد دیگر

Rosalba Giugno is a Full Professor of Informatics at the University of Verona's Department of Computer Science. She serves as Principal Investigator of the InfOmics Laboratory and is the reference person for the Master in Medical Bioinformatics program. Previously, from 2017 to 2022, she directed the Infolife laboratory, which comprised 35 research groups from various Italian universities. Her research focuses on algorithmic bioinformatics and computational biology, specifically developing graph algorithms for biological networks, integrating and analyzing biomolecular data, and modeling biological systems for personalized medicine. She leads a research group consisting of 5 PhD students and multiple master's thesis students. Her work bridges theoretical computer science with practical biomedical applications, utilizing approaches from machine learning, data science, mathematics, and graph theory. Professor Giugno has authored 130 scientific publications, with 70 appearing in international journals. Her recent work shows a strong trend toward applying advanced computational methods to solve complex problems in personalized medicine, particularly in patient stratification using multi-omics data, drug repurposing, and combination therapy prediction. She has secured funding for numerous national and European research projects, with recent initiatives focusing on multi-drug resistance in rheumatoid arthritis and personalized prostate cancer evaluation. She serves as an editor for the journal Information Systems and participates in scientific committees for international conferences and schools. Her leadership extends to university governance through roles on the Computer Science Teaching Committee and Department Council. Professor Giugno teaches courses in the Master's program in Medical Bioinformatics and the PhD program in Computer Science, including 'Analisi di dati Multi-omics da single-cell' and 'Programming for bioinformatics.' She has consistently taught these courses from 2016 through 2025, demonstrating commitment to training the next generation of bioinformatics specialists. The InfOmics Laboratory under her direction develops computational methods for biomedical data analysis, with applications spanning genomics, patient classification, and therapeutic optimization. The lab maintains strong connections with both academic and industrial partners through collaborative research projects.

• Operations Research
• Combinatorial Optimization
• Healthcare Logistics
• +۳ مورد دیگر

Paola Cappanera is an Associate Professor of Operations Research at the Department of Information Engineering (Università di Firenze), affiliated with the School of Engineering. She is a member of the IBIS Lab. Her expertise spans combinatorial optimization, healthcare logistics, telecommunication networks, and scheduling problems. She teaches courses such as Fondamenti di Ricerca Operativa , Combinatorial Optimization , and Ottimizzazione su Reti di Flusso at both undergraduate and graduate levels. Her research focuses on optimizing healthcare delivery systems, including home care services, surgical scheduling, and resource allocation. She also addresses challenges in telecommunication networks, such as latency-aware scheduling and routing. Recent work emphasizes robustness in home care planning, equitable resource distribution, and mitigating risks in hazardous material transportation. Her articles highlight advancements in decomposition methods for scheduling, genetic algorithms for network functions, and integration of healthcare service models. Key contributions include models for emergency department physician rostering and optimizing tele-assistance systems.

Antonino Noceraمشاهده پروفایل

دانشیار

• Data Science
• Social Network Analysis
• Privacy
• +۵ مورد دیگر

Antonino Nocera is an Associate Professor at the University of Pavia's Department of Electrical, Computer and Biomedical Engineering, within the Faculty of Engineering. He specializes in Data Science, Social Network Analysis, Privacy, Security, and Artificial Intelligence. He holds a PhD in Information Engineering from the University Mediterranea of Reggio Calabria (2013). His research focuses on cybersecurity, machine learning applications, and privacy-preserving technologies, with over 85 publications. He is an Associate Editor for *Information Sciences* (Elsevier) and *IEEE Transactions on Information Forensics and Security*. He leads the Digital Content Analysis Lab (DCALab) and collaborates with Microsoft on cloud computing initiatives. Recent projects include a 2020 Hackathon on analyzing the spread of the SARS-CoV-2 virus and a Microsoft Learn mini-course on Azure. His work spans federated learning security, malware detection, and IoT trust models. He actively participates in conference TPCs and promotes ethical AI practices. Key contributions include frameworks like SECTIS for CTI sharing and DROIDTTP for Android application analysis. His teaching emphasizes data science and big data analytics, integrating industry tools like Azure into curricula.