جست‌وجوی استاد و پژوهشگر

Francesco Vascaمشاهده پروفایل

استاد

• Control Systems
• Automation
• Switched Systems
• +۵ مورد دیگر

Francesco Vasca is a Full Professor of Automatic Control at the Department of Engineering (DING) of the University of Sannio, Italy. His research focuses on Switched and networked dynamic systems Power electronics Automotive and railway vehicle control Social network analysis Battery management systems His work spans theoretical modeling and practical applications, including Complementarity frameworks for power converters Control strategies for hybrid vehicles Opinion dynamics in social networks Electric vehicle charging optimization . The analysis of his publications reveals a strong emphasis on control systems , switched electronics , and energy-efficient transportation . Francesco Vasca has been recognized for his contributions, including IEEE Senior Member (since 2012) Associate Editor roles for IEEE Trans. Control Systems Technology (2008-2014) and Automatica (since 2017) Finance Chair for the European Control Conference 2019 Workshop Chair for ECC2021 He has supervised 17 Ph.D. students 34 research engineers and led 3 European projects 5 national research projects 5 regional projects . His international collaborations include institutions such as the University of Groningen, Linköping University, and Stanford University.

• Bioinformatics
• Computational Biology
• Network Analysis
• +۴ مورد دیگر

Simona Ester Rombo is a Full Professor in the Department of Mathematics and Computer Science at Università degli Studi di Palermo (UNIPA), Italy. Her research spans computational biology, bioinformatics, network analysis, and big data approaches applied to biological and social systems. Her primary research interests include: Bioinformatics and computational genomics, particularly focusing on lncRNA-disease associations and RNA editing Network analysis and graph algorithms for biological and social networks Development of software tools for large-scale data analysis in biology Machine learning applications in drug discovery and repurposing Big data approaches for genomic sequence analysis and social network analysis Professor Rombo's publications demonstrate a strong focus on developing computational methods for biological network analysis, with particular emphasis on protein-protein interaction networks, molecular interaction networks, and lncRNA-disease association prediction. Her work bridges computer science and biology, creating practical tools and algorithms that address real biological challenges. Her scientific contributions include: Development of DIAMIN, a software library for distributed analysis of molecular interaction networks Creation of FEDRO, a tool for discovering candidate ORFs in plants with RNA editing Research on topological properties of biological networks and their functional implications Applications of network analysis to drug discovery and repurposing Professor Rombo actively teaches courses related to big data management and software engineering, mentoring students in computer science and artificial intelligence programs. Her office is located at Via Archirafi 34, Floor 2, Room 220 at UNIPA, with office hours on Mondays from 9:30 to 13:30.

Alessandro Tasoraمشاهده پروفایل

استاد

• Theoretical Mechanics
• Numerical Methods in Multibody Dynamics
• Robotics
• +۷ مورد دیگر

Alessandro Tasora is a Full Professor at the University of Parma in the Department of Industrial Engineering and Department of Engineering and Architecture . He directs the Digital Dynamics Lab and serves as Scientific Director of the Smart Production Lab 4.0 . His work spans theoretical mechanics, robotics, and high-performance computing. Director, Digital Dynamics Lab (2019–present) Scientific Director, Smart Production Lab 4.0 (2017–present) National Scientific Qualification for Full Professor (2016) Honorary Associate, University of Wisconsin-Madison (2009–present) Research focuses on non-smooth multibody dynamics , GPU-accelerated simulation , and industrial robotics . He developed the Chrono::Engine software for multibody physics and HyperOCTANT for NLCP problems. His work addresses granular flows in nuclear reactors, vehicle mobility on deformable terrain, and historical structural analysis. Key article trends include GPU-based HPC for large-scale simulations, cone complementarity in contact dynamics, and isogeometric beam formulations for flexible bodies. Collaborations with Argonne National Laboratory and Fraunhofer ITWM highlight his international impact. Top-SNIP Paper (2017) International CAE Conference Poster Award (2015) Best Paper, Asian Conference on Multibody Dynamics (2010) TOP4 Paper, RAAD Robotics Workshop (2011) He has supervised over 40 theses in automation, tribology, and robotics. Grants include FFABR-MIUR , US Army RIF , and CNR projects . Projects involve seismic protection, autonomous AGVs, and Industry 4.0 consulting.

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.

Salvatore ORLANDOمشاهده پروفایل

استاد

• Computer Science
• Machine Learning
• Data Mining
• +۴ مورد دیگر

Salvatore Orlando is a Full Professor and Director of the Department of Environmental Sciences, Computer Science and Statistics at Ca' Foscari University of Venice. He holds academic roles including membership in the University Scientific Instrumentation Service Center (CSA) Management Committee and the Academic Senate. His research focuses on machine learning, information retrieval, and data mining, with notable contributions to learning-to-rank algorithms, decision tree ensembles, and adversarial machine learning. Key areas include efficient algorithms for large-scale systems, model interpretability, and fairness in AI. Orlando’s work bridges theoretical advancements with practical applications in database technology and cybersecurity. His recent publications emphasize optimizing ranking models, enhancing algorithm resilience, and addressing ethical considerations in AI systems. He is actively involved in organizing international conferences and serves on program committees, further contributing to the academic community.

Flavio SARTORETTOمشاهده پروفایل

دانشیار

• Numerical Analysis
• Computational Science
• Medical Signal Processing
• +۴ مورد دیگر

Flavio SARTORETTO is an Associate Professor in Scientific Computing at Ca' Foscari University of Venice. He holds a Mathematics degree from the University of Padua and has held academic positions at University of Padua (1982-1992) and Sapienza University of Rome (1992-1993) before joining Ca' Foscari in 1993. His research focuses on numerical analysis, computational methods, and interdisciplinary applications including environmental modeling, cognitive processes, and assistive technologies. Key research areas include numerical solutions of PDEs, meshless methods, EEG signal analysis, and e-learning tools for impaired individuals. He has participated in major research projects such as EC Network (1992-1995), PRIN initiatives (1997-2010), and contributed to software development for geomechanical models and air quality systems. His work spans computational fluid dynamics, robotics applications, and cognitive studies. Recent publications highlight advancements in mesh refinement strategies, robotic assistive devices, and spatial cognition research. He has reviewed for prestigious journals and served in academic committees for state examinations and international conferences. He maintains active involvement in academic service, including roles in evaluation committees and contributions to professional societies like SIAM and CICAP.

Claudio SILVESTRIمشاهده پروفایل

دانشیار

• Data Mining
• Privacy in Location-Based Services
• Spatio-Temporal Data Analysis
• +۳ مورد دیگر

Claudio SILVESTRI is an Associate Professor at Ca' Foscari University of Venice, affiliated with the Department of Environmental Sciences, Computer Science and Statistics. He specializes in Computer Science (INFO-01/A), with a focus on data mining, privacy in location-based services, and spatio-temporal data analysis. His research integrates computer science with environmental and biomedical applications. Teaching Responsibilities include courses on Advanced Data Management (Computer Science) and Geographic Information Systems (Environmental Sciences) at the Master's level across multiple academic years. Research Interests span: Algorithms for privacy protection in location-based services Spatio-Temporal Data Warehouses and trajectory analysis Parallel computing on GPU and cloud platforms Applications in fisheries monitoring and diabetic kidney disease modeling Funding Projects include EU initiatives like H2020 (e.g., DC-ren for kidney disease research) and regional grants (e.g., ADMIN4D on Industry 4.0). Key collaborations involve researchers like Salvatore ORLANDO and Debora SLANZI. He is affiliated with the European Center for Living Technology (ECLT) and the Research Institute for Social Innovation. Office hours are held Wednesdays 2-4 PM by email appointment.

• Biometrics
• Fingerprint Recognition
• Security Systems
• +۳ مورد دیگر

Raffaele Cappelli is an Associate Professor at the Department of Computer Science and Engineering, University of Bologna. His research focuses on fingerprint biometrics, emphasizing anti-spoofing, segmentation, and synthetic data generation. He contributes to the Fingerprint Verification Competition (FVC) and has pioneered tools like SFinGe for synthetic fingerprint databases. His work addresses security vulnerabilities in biometric systems and forensic applications. Education and affiliations include roles at the University of Bologna, with expertise in computer science and engineering. His research integrates machine learning, pattern recognition, and hardware acceleration to enhance biometric system performance and reliability. Key areas of study include presentation attack detection, fingerprint orientation estimation, and large-scale database management. He has authored over 70 publications, with notable contributions to forensic science and secure authentication protocols.

• Neurodevelopmental disorders
• Autism spectrum disorders (ASD)
• Social cognition
• +۱۰ مورد دیگر

Paola Sgadò is Associate Professor of Physiology (BIO/09) at the University of Trento , jointly appointed at the Department of Cellular, Computational, and Integrative Biology (CIBIO) and the Center for Mind/Brain Sciences (CIMEC) in Rovereto, Italy. Since 2017 she leads the Molecular and Cellular Cognition (mc²) group within the Animal Cognition and Neuroscience Laboratory. Education: PhD magna cum laude , University of Heidelberg, Germany (2006) – “Development and maintenance of mesencephalic dopaminergic neurons: role of the Engrailed and Pbx1 transcription factors” MSc in Biological Sciences 110/110 cum laude , University of Pisa & Scuola Normale Superiore, Italy (1999) Research Interests: Dr Sgadò’s work centres on the molecular and cellular mechanisms underlying social cognition and their disruption in neurodevelopmental disorders , particularly autism spectrum disorders (ASD) . She pioneered the use of domestic chicks exposed prenatally to valproic acid (VPA) and CRISPR gene editing to model ASD, revealing altered early social-orienting behaviours and dopaminergic signalling. Parallel studies in Engrailed-2 knockout mice uncovered deficits in GABAergic interneuron development and ASD-linked gene networks. Additional interests include cerebral lateralization , epilepsy and neurodegeneration in Parkinsonian models. Scientific Awards & Recognition: Marie Curie COFUND “People” Incoming Post-doctoral Fellowship (2010–2014) PhD magna cum laude , University of Heidelberg (2006) Best Oral Presentation – XXXIII LIMPE Annual Meeting (2006) Invited speaker at Cold Spring Harbor Laboratory “Wiring the Brain” meetings (2013, 2017) Grants & Leadership: Principal Investigator of the mc² group since 2017; former Marie Curie COFUND fellow (€149,000 EnCORT project); member of the PhD Committee in “Cognitive and Brain Sciences” (2017–2019). Laboratory & Team: Dr Sgadò heads the Molecular and Cellular Cognition (mc²) laboratory within CIMEC’s Animal Cognition and Neuroscience facility, fostering interdisciplinary projects that integrate behavioural paradigms, molecular genetics, neuroanatomy and electrophysiology to dissect the biology of social behaviour across species.

• Computational Fluid Dynamics (CFD)
• Fluid Dynamics
• Turbomachinery
• +۵ مورد دیگر

Giovanni Caramia is an Assistant Professor in the Department of Mechanics, Mathematics & Management at Polytechnic University of Bari (Poliba), specializing in fluid dynamics and computational modeling. His work bridges theoretical and applied engineering, focusing on advanced CFD techniques, renewable energy systems, and turbomachinery optimization. Academic Rank: Assistant Professor (ING-IND/08 - Fluid Machinery) Email: giovanni.caramia@poliba.it Research Interests Caramia's research spans computational fluid dynamics, energy transition strategies, and mechanical system optimization. Key areas include: Hydrogen combustion and fuel systems Cavitation and multiphase flow modeling OpenFOAM® software implementation Wind turbine and offshore energy systems Carbon neutrality pathways for Southern Italy Recent Publications Trends His 2023-2025 work emphasizes energy transition (green hydrogen, biomass), advanced CFD simulations (cavitation, floating wind turbines), and numerical method development. Articles highlight practical applications in renewable energy systems and industrial fluid machinery. Labs & Teams Current affiliations include Poliba's research groups focused on fluid machinery and energy systems, though specific lab names are not detailed in available texts.

Bartolomeo Montrucchioمشاهده پروفایل

استاد

• Computer Vision
• Quantum Computing
• Image Processing
• +۵ مورد دیگر

Bartolomeo Montrucchio is a Full Professor of Information Processing Systems (ING-INF/05) at the Department of Control and Computer Engineering (DAUIN) of the Polytechnic University of Turin. He is a member of the Interdepartmental Center Photonext - PoliTo Interdepartmental Center on Applied Photonics and serves as deputy director at the Interuniversity Center of Regional Interest for the Training of Secondary School Teachers (CIFIS) since July 2012. Additionally, he has held an adjunct professor position at the University of Illinois at Chicago during July 2008. Professor Montrucchio's research spans several cutting-edge areas with a primary focus on quantum computing, computer vision, and sensor networks. His work encompasses image processing, scientific visualization, parallel and distributed systems, and wireless sensor networks. He actively contributes to European research initiatives including the EQUO (European QUantum ecOsystems) project as Scientific Responsible. His research bridges theoretical computer science with practical applications across multiple industries. His publication record shows a strong trajectory toward quantum technologies, with numerous recent publications focusing on quantum machine learning, quantum algorithms for financial applications, and quantum applications in cybersecurity. His work demonstrates increasing emphasis on practical implementations of quantum computing in real-world scenarios, particularly in industrial settings and telecommunications. Best student paper award at BIOSIGNAL2002, conferred by EURASIP, Italy (2002) Associate Editor of IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019-present) Professor Montrucchio actively supervises numerous PhD students working on quantum computing applications across various domains including finance, cybersecurity, traffic optimization, and industrial use cases. His teaching portfolio includes courses on Quantum Computing, Parallel and Distributed Computing, and Image Processing and Computer Vision across multiple degree programs including Computer Engineering, Biomedical Engineering, and Quantum Engineering. He leads multiple research projects funded by both competitive calls and commercial contracts, with a significant focus on quantum technologies since 2019. His patent portfolio includes several inventions related to tire manufacturing processes and visual rehabilitation for telemedicine.

• Embedded Systems
• Hardware-Software Co-design
• Machine Learning
• +۷ مورد دیگر

Claudio Passerone is a Tenured Associate Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino. He is affiliated with the College of Electronic, Telecommunications and Physics Engineering and serves as an Invited Member in the College of Computer, Film, and Mechatronics Engineering. His teaching focuses on electronics for embedded systems across multiple academic cycles. Research interests: Embedded Systems, Hardware-Software Co-design, Machine Learning, Cubesat, and Low-Cost Space Technologies Skills: Computer Architecture, Distributed Systems, Signal Processing, and Machine Learning Applications He supervises Pierpaolo Mori', whose PhD research explores DNN optimization techniques. Passerone contributes to the Nanosatellites research group and leads initiatives in the Zero Robotics competition.

• Approximate computing
• Bayesian networks
• Cybersecurity
• +۷ مورد دیگر

Alessandro Savino is an Associate Professor at the Department of Control and Computer Engineering (DAUIN) of Politecnico di TORINO. He serves as an academic advisor for Bachelor’s and Master’s degree programs in Computer Engineering (Ingegneria Informatica) and contributes to PhD programs in Artificial Intelligence and Computer Engineering. Research Interests: Approximate computing, Cybersecurity (including automotive systems), Dependability, Parallel computing, Reliability analysis, and Neuromorphic architectures. Key Projects: Leads RESCHIP4EU (2024-2028), NEUROPULS (2023-2027), and commercial contracts focused on real-time OS validation and avionics design. Publications: Recent work spans hardware security (e.g., VeriSide for leakage assessment), spiking neural networks (SpikeExplorer, SpikingJET), and automotive cybersecurity (CARACAS, CAN-MM). Teaching: Instructs courses on Parallel and Distributed Computing, Hardware & Wireless Security, and System Programming across Politecnico di TORINO and Scuola IMT Alti Studi - LUCCA. Research Group: Leads the SMILIES group, focusing on resilient computer architectures and life sciences.

• Cybersecurity
• Network Security
• Security Automation
• +۴ مورد دیگر

Fulvio Valenza is an Assistant Professor (Fixed-Term Tenure-Track, RTD-B) at the Department of Control and Computer Engineering (DAUIN) , Polytechnic University of Turin . He is a member of the NETGROUP - Computer Networks Group and teaches courses such as Security of next-generation networks and Data Protection, Privacy, and Anonymity across multiple degree programs including Cybersecurity Engineering and Computer and Systems Engineering. Research Interests: Cybersecurity, Network Security, Security Automation, Distributed Systems, Quantum Cryptography Projects: MIRANDA (EU-funded cybersecurity research), Commercial contracts for "ESCAPE" seminar organization Research Trends in his publications focus on security automation in virtualized/cloud environments, formal verification of network policies, and optimization of security configurations for industrial and automotive systems. His work bridges theoretical methods (e.g., formal verification) with practical deployments (e.g., Kubernetes security, VNF placement). Teaching spans both the Polytechnic University of Turin and the University of Eastern Piedmont (2020-2022), covering topics in network security, cloud technologies, and cybersecurity.

Enrico Tronciمشاهده پروفایل

استاد

• Model Checking
• Cyber-Physical Systems
• Software Engineering
• +۷ مورد دیگر

Enrico Tronci is a Full Professor in the Department of Computer Science at Università degli Studi di Roma La Sapienza , Italy. His research focuses on model checking, formal verification, and synthesis of cyber-physical systems, with applications to mission-critical and safety-critical domains such as space systems, smart grids, and healthcare. He leads the Model Checking Lab (MCLab) and has coordinated numerous national and international research projects funded by organizations including the European Community (EC), European Space Agency (ESA), and Italian Ministry of University and Research (MUR). Research Highlights : Automatic control software synthesis from closed-loop specifications Model checking algorithms for hybrid and stochastic systems Technology transfer in sectors like energy, transportation, and aerospace Teaching : Undergraduate: Software Engineering (Fall 2024) Graduate: Automatic Verification of Intelligent Systems (Fall 2024), Verification and Validation of Intelligent Systems (Spring 2025) Scientific Awards : Recipient of the IBM-Italia 1987 prize for best thesis in Artificial Intelligence Publications Trends : 2024: Scaling up model checking for cyber-physical systems via HPC 2023: Hormonal impact on behavior and fault-tolerant sensor deployments 2021-2022: In silico clinical trials, smart grid management, and scenario enumeration 2020: AI-guided diabetes patient modeling and forensic psychiatry applications Software Tools : QKS (Quantized Kontrol Synthesizer) NashMV (MAD systems verification) CMurphi (Hybrid systems model checker) FHP-Murphi (Probabilistic verification) BSP (Boolean symbolic programming)