جست‌وجوی استاد و پژوهشگر

Stefano Cagnoniمشاهده پروفایل

دانشیار

• Evolutionary Computation
• Soft Computing
• Neural Networks
• +۹ مورد دیگر

Stefano Cagnoni is an Associate Professor in the Department of Computer Engineering at the University of Parma, Italy. He holds a PhD in Bioengineering from the University of Florence and has been a key academic figure since joining the University of Parma in 1997. His research spans soft computing, evolutionary computation, neural networks, and their applications in computer vision and biomedical imaging. PhD in Bioengineering, University of Florence (1993) Bachelor’s in Electronic Engineering, University of Florence (1988) His primary research interests include evolutionary computation , neural networks , pattern recognition , and computer vision . He has pioneered work in genetic programming, particle swarm optimization, and GPU-accelerated computing for complex system analysis. His applied research focuses on biomedical image segmentation, autonomous robotics, and signal processing, with a strong emphasis on real-world implementation and industrial collaboration. The recent publications highlight a shift toward interdisciplinary applications, including machine learning for food authenticity, financial document analysis, and healthcare monitoring systems. These works reflect a consistent use of advanced computational intelligence techniques across diverse domains such as food science, finance, and medical informatics. Scientific Awards: Evostar 2009 Award for outstanding contributions to Evolutionary Computation Stefano Cagnoni has supervised numerous research projects funded by MIUR, CNR, ASI, ENEA, and the EU (including the Marie Skłodowska-Curie MIBISOC project). He has also led industrial collaborations, such as a computer vision-based train pantograph inspection system that led to a patented industrial product. He has organized major international events like EvoApplications and WIVACE and has held editorial roles in journals such as the Journal of Artificial Evolution and Applications. He leads research in evolutionary computation and soft computing, having founded GSICE (now WIVACE) and co-chaired MedGEC. His lab focuses on developing intelligent systems for image analysis, signal processing, and autonomous navigation, often using bio-inspired algorithms and parallel computing architectures.

• Computer Vision
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Five Louis serves as a Full Professor within the Department of Computer Science at Sapienza University of Rome, where he is an integral member of the VisionLab research group. His academic office is situated on the third floor (room 314c) of the department building at Via Salaria, 113, Rome. Professor Louis contributes to the university's mission of advancing knowledge through cutting-edge research and teaching in computer science. His research program centers on computer vision and artificial intelligence with strong practical applications. Key focus areas include: Vision-based detection, localization, and segmentation systems Human behavior analysis and human-computer interaction Robotics integration with signal processing Biometrics and extended reality frameworks Medical image analysis tools optimized for embedded devices VisionLab operates as a collaborative hub where Professor Louis partners with national and international academic institutions and industry leaders to solve real-world challenges. The laboratory's mission emphasizes advancing machine perception capabilities from cellular-scale analysis to virtual environments, fostering innovation through interdisciplinary teamwork. No scientific awards or student mentoring details were specified in the available documentation, though ongoing projects suggest active grant-funded research in applied AI deployment.

• Prostate Cancer Imaging
• Radiomics
• Medical Imaging
• +۳ مورد دیگر

Giorgio Brembilla is a Fixed-term Researcher (Type A) in the Department of Medical Imaging and Radiotherapy at San Raffaele University, specializing in prostate cancer imaging and radiomics. His work focuses on integrating clinical, imaging, and epigenomic data for improved cancer characterization and surgical planning. Research Interests: Development of radiomics signatures for prostate cancer management Validation of molecular imaging techniques (PSMA-11 PET/MRI, RM2 PET/MRI) Optimization of lymph node detection and nephron-sparing surgery Improving biopsy accuracy through imaging quality metrics Integration of AI for automated tumor segmentation Publications (2023–2024) highlight his contributions to radioguided surgery, spatial co-registration workflows, and risk prediction models, with a focus on clinical trials and translational imaging research. Teaching Activities: Involved in courses such as Imaging in Urology , Imaging of the Musculoskeletal System , and Imaging and Radiological Anatomy for Medicine and Physiotherapy students.

Antonio Vicinoمشاهده پروفایل

استاد

• Control Systems
• Robust Control
• System Identification
• +۶ مورد دیگر

Antonio Vicino is a Full Professor of Control Systems at the Department of Information Engineering and Mathematical Sciences, University of Siena, Italy. He has held several significant leadership positions including Head of Department (1996-1999), Dean of the Engineering Faculty (1999-2005), Director of the Center for Complex Systems Studies (1999-2012), Director of the PhD Program in Information Engineering and Science (2016-2021), and President of the Italian University Council (2019-2023). Professor Vicino earned his Laurea Degree in Electrical Engineering with honors from Politecnico di Torino in 1978, followed by fellowships with CSS-ATA (1979-1980) and ENEL-Politecnico di Torino (1981-1982). His academic career progressed from Assistant Professor at Politecnico di Torino (1983-1987) to his current position at the University of Siena. His research focuses span Control Systems, Robust Control, System Identification, Smart Grids, Energy Systems, Systems Biology, Time Series Analysis, Nonlinear Systems, and Applied System Modeling. His work has evolved from foundational theoretical contributions in robust control to practical applications in energy systems and biological modeling. Recent work demonstrates a strong emphasis on smart grids, electric vehicle integration, and energy storage optimization. Professor Vicino's extensive publication record reveals an evolution from theoretical control systems research to applied energy systems work. His recent publications (2018-2024) primarily focus on smart grid applications, electric vehicle integration, and energy storage optimization, reflecting the growing importance of renewable energy integration and sustainable technologies. Fellow of the IFAC (2008) Life Fellow of the IEEE (2000) Associate Editor of Automatica (1995-present) Associate Editor at Large of IEEE Transactions on Automatic Control (1998-2008) Professor Vicino has advised 23 PhD students and 10 Research Associates, along with over 150 Master's theses. His research has been supported by numerous grants including EC-FP7 Project ADDRESS (2008-2013), MPS Foundation projects, and multiple national government research projects. He has established four research laboratories: Mobile Robotics Lab, Haptics and Medical Robotics Lab, Process Control Lab, and Automatic Control Telelab (ACT), which has received international recognition including featuring on the cover of IEEE Control Systems Magazine.

• Neurorehabilitation
• Cognitive Neuroscience
• Motor Disorders
• +۶ مورد دیگر

Valentina Varalta is a Temporary Assistant Professor at the Department of Neuroscience, Biomedicine and Movement Sciences within the University of Verona . She holds a clinical and research role in Physical and Rehabilitation Medicine , focusing on the intersection of cognitive, psychological, and motor aspects in neurological patients. Research Areas : Neurorehabilitation, Cognitive Neuroscience, Motor Disorders, Stroke Rehabilitation, Parkinson's Disease, Multiple Sclerosis, Neurological and Neurodegenerative Disorders, Neurocognitive Psychology, Rehabilitation Technologies. Key Projects : T-ECO (tele-rehabilitation for post-stroke cognitive deficits), Cognitive Deficit Rehabilitation in Multiple Sclerosis, Telerhabilitation for Stroke Cognitive Disorders, Visual Vertical Misperception after Stroke, Oxford Cognitive Screen validation. Committees : Council for the Degree Course in Physiotherapy, Collegio Didattico unificato of Physiotherapy and Rehabilitative Sciences, Comitato Scientifico of Clinical Neuropsychology Master, QA Committees for rehabilitation programs. Her recent publications demonstrate strong trends in rehabilitation robotics , virtual reality applications , non-invasive brain stimulation , and cross-disciplinary cognitive-motor interventions across stroke, Parkinson's, and multiple sclerosis patients. She has received no explicitly mentioned scientific awards in the provided text. Her teaching portfolio includes modules in Rehabilitation Science , Speech and Language Therapy , and Physical and Rehabilitative Medicine for both undergraduate and postgraduate programs.

Gigliola Vagliniمشاهده پروفایل

استاد

• Distributed Systems Verification
• Model Checking
• Machine Learning Applications
• +۲ مورد دیگر

Gigliola Vaglini is Full Professor of Computer Engineering at the University of Pisa's Department of Information Engineering. She teaches Software Systems Engineering and Databases, with research focusing on formal specification and verification of concurrent/distributed systems. Her work integrates model checking methodologies with machine learning techniques for industrial anomaly detection and mobile security applications. She has participated in multiple research projects funded by the Italian Ministry of University and Research, National Research Council, and European Community. Research Focus: Vaglini's work bridges theoretical computer science and practical applications, developing verification frameworks for complex systems while creating AI solutions for real-world problems. Her current investigations span swarm intelligence coordination, structural monitoring via digital twins, and multimodal deep learning architectures. Recent publications demonstrate cross-disciplinary approaches combining formal methods with machine learning, particularly in environmental monitoring, structural engineering, and neural architecture design. This reflects a consistent pattern of translating theoretical computer science concepts into applied technological solutions.

Federico Neriمشاهده پروفایل

پژوهشگر

• Collaborative Robotics
• Mobile Robotics
• Robotic Assembly
• +۲ مورد دیگر

Federico Neri is a researcher in robotics at Polytechnic University of Marche's Department of Industrial Engineering and Mathematical Sciences. He holds a B.S. (2019) and M.S. (2021) in Mechanical Engineering from Polytechnic University of Marche, where he is currently pursuing doctoral studies in Industrial Engineering. Research focuses on collaborative and mobile robotics with specialization in obstacle avoidance systems, robotic assembly, and localization techniques. Key research areas include non-holonomic mobile robots, collision avoidance controls, human-robot collaboration safety, and UWB-based localization. Recent publications investigate adaptive prioritization for mobile manipulators (2025), differential wheel control (2024), wooden structure assembly (2023), and ultra-wideband localization systems. Experimental work validates collision avoidance methods for industrial applications.

• Robotics
• Control Systems
• Sensor Networks
• +۵ مورد دیگر

Daniele Fontanelli is a Full Professor at the Department of Industrial Engineering , University of Trento, Italy. He holds a Ph.D. in "Automatics, Robotics, and Bioengineering" from the University of Pisa (2006) and a Laurea in Industrial Informatics (2001). He has taught courses such as Internet of Things , Distributed Measurement Systems , and Statistical Estimation at both Trento and Pisa. Research Interests: Robotics, human-robot interaction, signal processing for autonomous systems, UWB localization, distributed sensor networks, and smart grid measurement systems. His work spans mobile robotics, control theory, and embedded systems with applications in medical robotics, warehouse automation, and environmental monitoring. Scientific Contributions: Over 150 publications and leadership roles in European projects like AWARD2.0, SAFESTRIP, and ACANTO. He serves as Associate Editor in Chief for IEEE Transactions on Instrumentation and Measurement. Outstanding Associate Editor (2020) Most Productive Italian Reviewer (2020) Distinguished Service Award (2020)

Marcello Restelliمشاهده پروفایل

استاد

• Reinforcement Learning
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Marcello Restelli is a Professor at the Department of Electronics, Information, and Bioengineering (DEIB) of Politecnico di Milano, affiliated with the School of Industrial and Information Engineering. His research focuses on Reinforcement Learning (RL), Machine Learning, Robotics, and Control Systems. He explores challenges in real-world RL applications, multi-agent systems, and optimization under uncertainty. Key contributions include developing scalable algorithms for sparse-reward environments, POMDPs, and safe robotics. He leads projects like the EU-funded I3LUNG initiative, integrating AI for personalized lung cancer care. His work bridges theory and practice, addressing topics such as exploration strategies, regret minimization, and causal feature selection. He has contributed to frameworks like Gym4ReaL for benchmarking real-world RL systems and Storehouse for warehouse optimization. Recent efforts emphasize energy systems, financial decision-making, and explainability in extreme event prediction. His publications highlight advancements in inverse RL, online learning, and transfer learning. Collaborations span academia and industry, reflecting his impact on both theoretical and applied AI domains.

• Plant Physiology
• Food Science and Technology
• Horticulture
• +۱۲ مورد دیگر

Luigi DE BELLIS is a Full Professor of Plant Physiology at the Department of Biological and Environmental Sciences and Technologies (DiSTeBA) within the Faculty of Mathematical, Physical and Natural Sciences at the University of Salento. He is based at the Ecotekne Center in Lecce, Italy, where he conducts research and teaching in plant physiology and related fields. His academic career spans several decades with significant contributions to plant science. Professor DE BELLIS earned his Degree in Agricultural Sciences with highest honors (110/110 cum laude) from the University of Pisa in 1981, followed by a PhD in Horticulture from the same institution (1983-1986). His research interests encompass Plant Physiology, Food Science and Technology, Horticulture, Plant biomass, and specific areas including glyoxylate cycle enzymes, carbohydrate metabolism, and plant responses to pathogens like Xylella fastidiosa. His work particularly focuses on olive tree physiology, durum wheat genetics, and bioenergy applications from plant biomass. Analysis of his recent publications reveals a strong focus on plant-pathogen interactions, particularly regarding Xylella fastidiosa and olive quick decline syndrome. His research bridges traditional plant physiology with modern information technology applications, including deep learning for disease detection and robotic applications in plant pathology. His work spans molecular biology, agricultural applications, and sustainable management practices. Throughout his career, Professor DE BELLIS has served in various leadership roles, including Director of the Department of Biological and Environmental Sciences and Technologies from 2012 to 2020 and membership on the Academic Senate of the University of Salento. He has managed multiple research units for national and European projects and served as a referee for numerous prestigious journals in plant science. His research activities include extensive work on olive oil enhancement, plant biomass for energy production, genetics of olive and wheat species, and responses to pathogens. He has directed studies on wheat and barley flours for pasta production, olive oil wastewater purification, and evaluation of organoleptic qualities of agri-food products.

• Product Design and Development
• Industrial Engineering Methods
• Augmented Reality (AR) Applications
• +۶ مورد دیگر

Loris BARBIERI is an Associate Professor at the University of Calabria's Department of Mechanical, Energy and Management Engineering. His work focuses on industrial design methodologies, augmented reality (AR) applications, and underwater cultural heritage preservation. He leads the 'Design and Methods of Industrial Engineering' research group, which develops innovative tools for sustainable product design, 3D printing, and AR/VR integration in industrial processes and cultural heritage documentation. Research interests include: User-centered design for industrial products AR/VR applications in manufacturing and heritage preservation Underwater robotics for archaeological site exploration 3D reconstruction and additive manufacturing Recent work emphasizes AR-driven inspection systems for Industry 4.0, smart marine buoys, and underwater tool development. His publications highlight interdisciplinary approaches combining mechanical engineering, computer science, and environmental science. He manages the Industrial Design laboratory, focusing on research, teaching, and applied projects. Current initiatives include eco-friendly marine monitoring systems and collaborative XR platforms for industrial maintenance.

• Battery Management Systems
• Electrochemical Impedance Spectroscopy
• Machine Learning Applications
• +۷ مورد دیگر

Alessio De Angelis is a researcher affiliated with the University of Perugia, focusing on advanced measurement systems, battery technology, and localization techniques. His work spans disciplines such as electrical engineering, machine learning, and IoT applications. University: University of Perugia Email: alessio.deangelis@unipg.it His research interests include: Battery management and state-of-charge estimation Uncertainty quantification in AI-based systems Ultra-wideband (UWB) and magnetic localization Wireless sensor networks for environmental monitoring Signal processing for quantized and constrained data IoT applications in structural and health monitoring Recent publications highlight his expertise in battery diagnostics, localization algorithms, and AI-driven measurement systems. Key trends involve integrating machine learning with electrochemical impedance spectroscopy (EIS) and optimizing low-complexity sensor architectures.

Stefano Caselliمشاهده پروفایل

استاد

• Autonomous Robotics
• Real-Time Systems
• Parallel and Distributed Computing
• +۴ مورد دیگر

Stefano Caselli is a Full Professor of Computer Engineering at the School of Engineering , University of Parma , Italy. He teaches courses in operating systems, real-time systems, digital design, and robotics. His academic journey includes a Laurea in Electronic Engineering (1982) and a Ph.D. in Computer and Electronic Engineering (1987) from the University of Bologna, followed by a visiting scholar position at the University of Florida's Machine Intelligence Laboratory (1989-1990). Current Role: Full Professor, Department of Information Engineering Leadership: Former Chairman of Electronic, Computer, and Telecommunications Engineering degree programs (2000-2006), currently Vice-Chairman of the Ph.D. school in Information Technology and director of a French-Italian double-degree exchange program. Research Focus : His work spans autonomous robotic systems , real-time architectures , human-robot interaction , and edge-to-cloud computing . He has led EU-funded projects like VAALID (2015-2020) and regional initiatives such as AERTECH (2015-2020), emphasizing robotics in industrial automation and rehabilitation. Publications & Collaborations : With over 100 papers in top journals and conferences (e.g., IEEE ICRA, IROS), he explores robotics, precision agriculture, and sensor integration. His Robotics Laboratory (co-founded in 1992) collaborates with local companies on industrial automation solutions. Teaching & Administration : He has served on scientific committees for IEEE ICRA and IROS conferences and is a member of IEEE and ACM . Office hours are conducted via Teams during the pandemic, with physical meetings resuming in Building 1, University of Parma.

Lorenzo Zinoمشاهده پروفایل

استادیار

• Complex Networks
• Control and Optimization
• Dynamical Systems
• +۶ مورد دیگر

Lorenzo Zino is an Assistant Professor in the Department of Electronics and Telecommunications (DET) at Politecnico di Torino, Italy, since 2022. His research focuses on modeling, analysis, and control of dynamical processes over network systems, including epidemic spreading, opinion dynamics, and game theory. He holds a PhD in Pure and Applied Mathematics (2018) from Politecnico di Torino and has held research fellowships at NYU, University of Groningen, and Politecnico di Torino. His research spans Complex networks Control theory Game theory Opinion dynamics Epidemic models with recent publications addressing adaptive-gain control, socio-inspired systems, and quantum computing applications in epidemic control. His work is interdisciplinary, bridging network science , behavioral modeling , and multi-agent systems . He is a Senior Member of IEEE and recipient of the 2024 IEEE CSS Italy Chapter Best Young Author Award . His editorial roles include Associate Editor for Scientific Reports (2024–) and Journal of Computational Science (2021–). He has supervised three PhD students and co-authored over 90 international publications.

Antonio Sgorbissaمشاهده پروفایل

استاد

• Robotics
• Real-Time Systems
• Ambient Intelligence
• +۳ مورد دیگر

Antonio Sgorbissa is a Full Professor at the Department of Computer Science, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa. He serves as Coordinator of the PhD program in DIBRIS and holds roles in the School Council of the Polytechnic School and the Department Board. His teaching focuses on advanced topics such as Ambient Intelligence, Real-Time Operating Systems, and Social Robotics in Master's programs. Research interests span robotics, real-time systems, and immersive technologies, with recent work on quadruped robot control via VR, collaborative SLAM algorithms, and the societal impact of educational robotics. He actively contributes to interdisciplinary projects blending philosophy, culture, and technology. No scientific awards explicitly listed. His academic leadership includes coordination of PhD programs and participation in institutional committees. Teaching assignments span Computer Engineering and Robotics Engineering programs at both bachelor's and master's levels.