جستجوی استاد راهنمای دانشگاهی

Gabriele Berton is a postdoctoral researcher at Amazon, focusing on Multimodal Large Language Models and advanced computer vision applications. He holds a PhD in Computer Vision from the Polytechnic of Turin under Prof. Barbara Caputo. His research expertise includes visual geo-localization, place recognition, and scalable image retrieval systems. He previously worked at the Italian Institute of Technology (IIT) and was a visiting scholar at Carnegie Mellon University's AirLab under Prof. Sebastian Scherer. His work on EarthLoc is utilized by NASA for localizing International Space Station imagery. Education: PhD in Computer Vision, Polytechnic of Turin (2022) Master’s/Pre-PhD work at Italian Institute of Technology Research Focus: Berton’s work emphasizes robust visual localization systems, including 3D mesh-based place recognition (MeshVPR), astronaut photography indexing (EarthLoc), and iterative coregistration techniques (EarthMatch). He develops scalable algorithms for large-scale applications, balancing performance with computational efficiency. Key Achievements: First-author papers at CVPR, ICCV, ECCV (7+) First Prize in Best Student Research at EuroCon 2023 Co-developed CosPlace framework for large-scale visual localization Labs/Teams: Collaborates with AirLab at CMU and MaLGa Lab. Active contributor to the RoboTo robotics team, focusing on computer vision for robotics competitions.

• Computer Vision
• Visual Geo-localization
• Robotics
• +۳ مورد دیگر

Stefania Monica is an Associate Professor at the Department of Engineering Sciences and Methods, University of Modena and Reggio Emilia. She specializes in Artificial Intelligence, Multi-Agent Systems, Robotics, and Programming Languages. Her research focuses on topics such as agent interaction protocols, indoor positioning algorithms, and agent-oriented programming (Jadescript). She teaches courses on Artificial Intelligence, Data Science, Web Technologies, and IoT. Recent work includes studies on stigmergic interactions in multi-agent systems and 3D indoor positioning using optimization algorithms. Her contributions span theoretical frameworks (e.g., kinetic models) and practical implementations (e.g., Jadescript language enhancements for robustness and interoperability). Research interests emphasize synergy between AI and robotics, with applications in localization, swarm intelligence, and neural-symbolic learning. Teaching responsibilities include managing engineering courses on data science, information systems, and IoT development. She actively contributes to academic conferences and journals, curating special issues on computational logic and agent-based systems.

• Artificial Intelligence
• Multi-Agent Systems
• Robotics
• +۴ مورد دیگر

Carlo Masone is a Fixed-term Researcher at the Department of Control and Computer Science (DAUIN), Politecnico di Torino, affiliated with the College of Electronic, Telecommunications, and Physics Engineering. He is also an invited member of the College of Management and Production Engineering and the College of Mathematical Engineering, reflecting his interdisciplinary contributions. His research focuses on artificial intelligence, machine learning, computer vision, and robotics, with significant work in visual place recognition, federated learning, and geospatial AI. His research interests span Artificial Intelligence , Machine Learning , Computer Vision , Robotics , Visual Place Recognition , Federated Learning , Open-Set Segmentation , and Geospatial AI . He has developed methods for uncertainty quantification in ML models for autonomous vehicles and contributed to digital heritage through the MAPP project. The recent publications highlight a strong trend in visual place recognition (e.g., EigenPlaces, MeshVPR), geolocalization of astronaut photography (Earthloc, EarthMatch), and robust segmentation (Mask2Anomaly). There is a clear emphasis on leveraging pre-trained features, federated learning for privacy-preserving recognition, and topological methods in vision. His work bridges robotics, AI, and real-world applications in autonomous systems and cultural heritage. Scientific Awards: Outstanding Reviewer at CVPR (2022, 2023, 2024) IROS JTCF Novel Technology Paper Award (2016) Best Paper Award Finalist at IEEE ICIA (2016) ELLIS Fellow (2024–) He advises PhD students in Artificial Intelligence and Computer and Systems Engineering and leads commercial research projects such as Quantifying Uncertainties in ML Models for Driver-Assisted and Autonomous Vehicles and MAPP - Phygital and Participatory Alpine Museums . He has previously collaborated with the Max Planck Institute for Biological Cybernetics (2014–2017). He teaches courses including Machine Learning for Mathematical Engineering , Robot Learning , and GeoAI , and contributes to programming and data science curricula. He is also a co-inventor on a patent for automated neural network design.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۹ مورد دیگر

Andrea Tonoli is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Polytechnic University of Turin. He serves as Scientific Advisor for partnerships with DAYCO, ITALDESIGN GIUGIARO, and STELLANTIS, and leads Spoke 2 'Sustainable Road Vehicle' at the National Center for Sustainable Mobility (MOST). He coordinates the DIMEAS-LIM research group and participates in CARS and PEIC interdepartmental centers. His teaching includes courses on Car Body Design, Motor Vehicle Design, and Mechatronic Systems Simulation. His research focuses on electric/hybrid powertrain optimization, mechanical design of electric traction machines, energy management in autonomous vehicles, longitudinal/lateral dynamics, virtual sensors for vehicle state estimation, electro-hydraulic/electromechanical shock absorbers, and magnetic bearings. Key subfields include rotordynamic analysis, harmonic finite element modeling for turbines, maglev stability, mechatronic systems for autonomous vehicles, and sustainable transportation. Recent publications emphasize electrodynamic maglev damping, compact assistive knee prostheses, electromagnetic shock absorber testing, and multi-objective optimization of regenerative suspensions. His work spans automotive, aerospace, and biomedical domains with applications to energy recovery, vibration control, and sustainable mobility. He supervises PhD students in mechatronics and automotive engineering, and leads numerous funded research projects including SPHERE (PNRR), MINERVA (PNRR), SmartCorners (EU), and industry collaborations with Hyperloop Transportation Technologies, Dayco Europe, and Racing Force Spa.

• Mechanical Engineering
• Automotive Engineering
• Mechatronics
• +۹ مورد دیگر

Luigi Palopoli is a Full Professor and Director at the Department of Information Engineering and Computer Science (DISI), University of Trento, Italy. He is also a member of the University Council. His research spans hybrid systems, real-time scheduling, quality of service control, robotics, embedded systems, and cyber-physical systems. His research interests include: Hybrid Systems and Real-Time Scheduling Service and Assistive Robotics for Elderly Support AI Applications in Robotics and Embedded Systems Outlier Detection and Anomaly Explanation Audio Super-Resolution and Signal Processing Biological Network Analysis and Graph Alignment His recent publications reflect a strong interdisciplinary focus, combining AI, robotics, real-time systems, and bioinformatics. Trends show increasing work in explainable AI, assistive technologies, and multimodal learning (e.g., vision transformers for audio). He has made notable contributions to robotic navigation for the elderly, real-time embedded systems, and logic-based outlier detection. Scientific awards include: Outstanding Paper Award at RTAS 2017 He advises students and collaborates widely, especially with Daniele Fontanelli, Luca Abeni, and other researchers in robotics and AI. He maintains an active research group, evidenced by a dedicated YouTube channel for the Embedded Intelligence and Robotic Systems group. He is involved in teaching, including courses on Robot Planning and Real-Time Operating Systems, and participates in AI seminar series. There is no indication of retirement or former status; he is actively engaged in research, teaching, and academic service.

• Hybrid Systems
• Real-Time Scheduling
• Quality of Service Control
• +۱۲ مورد دیگر

Giuseppe Oriolo is a Full Professor of Automatic Control and Robotics at the Department of Computer, Control and Management Engineering (DIAG) of Sapienza University of Rome, where he has been since 1994. He coordinates the DIAG Robotics Lab and has held teaching positions at the University of Siena, University of Cassino, and Roma Tre. Oriolo was a Visiting Scholar at the University of California, Santa Barbara, and serves on various editorial and program committees, including IEEE Transactions on Robotics and international conferences like ICRA and IROS. Education : Ph.D. in Systems Engineering (1992), Sapienza University of Rome His research focuses on robotics and control theory, particularly in robot control, motion planning, trajectory optimization, redundant robotic systems, control of underactuated systems, sensor-based localization, navigation for mobile robots, humanoid robots, and visual servoing. He has over 230 publications and contributes to advanced robotics frameworks. Recent publications highlight his work on Model Predictive Control (MPC) for humanoids and mobile robots, emphasizing robustness, singularity-free trajectories, and decentralized cooperation. His research addresses dynamic constraints, feasibility, and real-time adaptation in complex environments. Scientific Awards : 2017 IEEE Fellow, 2020 IEEE Robotics and Automation Magazine Best Paper Award, 2016 ANTS Best Paper Award, 2024 Human-Friendly Robotics Best Paper Award Oriolo's teaching includes Control Systems at Sapienza, with past roles in courses like Adaptive Systems, Nonholonomic Control, and Underactuated Robots. He has mentored numerous advisees through publications and lab activities. He leads the DIAG Robotics Lab, fostering innovation in humanoid robots, autonomous systems, and control theory.

• Robotics
• Control Systems
• Autonomous Mobile Robots
• +۳ مورد دیگر

Riccardo Renzulli is a Researcher at the Department of Computer Science, University of Turin, focusing on object-centric representation learning, medical image analysis, and AI-based computer vision applications. His research emphasizes capsule networks, deep learning models for hierarchical relationships, and applications in healthcare and aerial/satellite imagery. Education: MSc and BSc in Computer Science from University of Turin (2018 and 2015). Previous research with Prof. Valentina Gliozzi explored description logics and non-monotonic reasoning. Professional experience includes a 2022 post at Aalto University (supervised by Prof. Ville Kyrki and Francesco Verdoja) and roles at Addfor and Machine Learning Reply as a deep learning scientist. Research interests span concept learning, few-shot learning, interpretability, and medical imaging. Notable work includes visual localization systems for UAVs, AI-assisted diagnosis for COVID-19 via CXR analysis, and lung nodule segmentation using DeepHealth Toolkit. He contributed to the UniToChest dataset for cancerous nodule detection. His recent publications (2022-2025) address efficient neural architectures, medical imaging applications, and 3D scene modeling. Collaborations include EIDOSLAB, with research emphasizing scalable compression, entropy-based pruning, and ensemble methods for neural networks.

• Object-Centric Representation Learning
• Medical Image Analysis
• Computer Vision
• +۵ مورد دیگر

Margherita RUSSO is a Full Professor at the Department of Economics "Marco Biagi" at the University of Modena and Reggio Emilia in Italy. Her academic work focuses on economic policy with particular expertise in industrial economics, innovation systems, and technological transformation across various sectors. She maintains an active research agenda and teaching responsibilities, with regular student reception hours as indicated on her university profile. Professor RUSSO's research interests span several interconnected domains of economic policy and industrial organization. Her primary focus is on the automotive industry, where she examines digital transformation, automation, and the transition to electric mobility within global value chains. She has conducted extensive comparative research across European countries (including Germany, Spain, and Romania) as well as Mexico, analyzing how national contexts and trade agreements shape industrial development. Her work on digital innovation examines the role of intermediaries in facilitating technological adoption and institutional change, particularly regarding the Internet of Things and Industry 4.0 technologies. She has also made significant contributions to understanding science, technology, and innovation (STI) policies, especially during the COVID-19 pandemic, with cross-country analyses of policy responses in OECD countries. Her research methodology often combines qualitative case studies with quantitative network analysis to examine complex economic systems. Professor RUSSO's publication record demonstrates consistent scholarly output across multiple high-impact research streams. Her recent work shows an increasing focus on the intersection of digital transformation and traditional manufacturing industries, particularly the automotive sector's evolution toward electrification and automation. She has developed expertise in analyzing policy responses to technological disruption and pandemic challenges, with a particular emphasis on how different institutional contexts shape adoption patterns. Her research often employs comparative methodologies across national contexts, revealing how local conditions mediate global technological trends. The collaborative nature of her work is evident in her frequent co-authorship with researchers across Europe and Latin America. As a dedicated educator, Professor RUSSO has examined the impact of the pandemic on university teaching through her research on remote learning and student engagement. Her work in this area reflects her commitment to understanding how technological changes affect educational practices and student experiences.

• Economic Policy
• Automotive Industry
• Digital Transformation
• +۷ مورد دیگر

Enrico Blanzieri is an Associate Professor at the University of Trento's Department of Information Engineering and Computer Science. His research focuses on artificial intelligence, bioinformatics, quantum computing, machine learning, and computational biology. He actively contributes to interdisciplinary projects such as Vitis OneGenE for gene network analysis and quantum machine learning pipelines. His teaching includes courses like Algorithms for Bioinformatics, Quantum Machine Learning, and Data Mining. Blanzieri's work bridges theoretical foundations and practical applications, with notable contributions in quantum annealing-based algorithms, gene network expansion using distributed computing, and socially-competent artificial agents. His research integrates computational methods with biological systems, addressing challenges in precision agriculture and systems biology. His recent publications emphasize quantum machine learning advancements, causal role attribution in gene networks, and ethical AI frameworks for language models. Collaborative projects include the GENE@HOME volunteer computing initiative for bioinformatics tasks. Blanzieri also engages in educational activities, supervising courses that blend theoretical computer science with real-world applications.

• Artificial Intelligence
• Bioinformatics
• Machine Learning
• +۷ مورد دیگر

Roberto Oboe is an Associate Professor at the University of Padova's Department of Management Engineering. His research focuses on advanced motion control systems, mechatronics, and robotics, with notable contributions to remote handling systems for nuclear facilities, admittance control methodologies, and sensor technology integration in industrial and aerospace applications. He has led projects involving SPES (Selective Production of Exotic Species) facility automation, haptic feedback systems, and UAV localization. His technical work spans multiple disciplines including robotic control, nuclear engineering safety protocols, and sensor-based anomaly detection. Key projects include the development of intelligent remote handling systems for radioactive materials and the optimization of bilateral teleoperation systems. He actively contributes to IEEE editorial boards and serves as a Ph.D. examiner. Research highlights include: Admittance control frameworks for high-stiffness robotic interactions Pioneering work on MEMS-based mirror control systems Development of semi-quantitative risk assessment methodologies Advancements in indoor UAV navigation systems Publications emphasize practical applications with over 50 peer-reviewed articles since 2016, covering topics from neuronal avalanche analysis to industrial servopositioner improvements.

• Robotics
• Mechatronics
• Motion Control
• +۵ مورد دیگر

Fabio Dovis is a Full Professor at the Department of Electronics and Telecommunications (DET) at the Polytechnic University of Turin, and a member of the Interdepartmental Center PIC4SeR (PoliTO Interdepartmental Center for Service Robotics). His career spans multiple decades with significant contributions to Global Navigation Satellite Systems (GNSS) research and applications. Dr. Dovis serves on the Steering Committee of the Institute of Navigation (2021-2023) and is an Editorial Board member of GPS SOLUTIONS since 2017. His research focuses on satellite navigation technologies with applications spanning from environmental monitoring to space exploration. He leads the Navigation, Signal Analysis and Simulation (NavSAS) Research Group, which is actively developing innovative GNSS solutions. His research portfolio includes satellite navigation receiver design, GNSS for environmental and atmospheric monitoring, GNSS positioning security, and applications in service robotics and precision agriculture. His work bridges theoretical advancements with practical implementations across diverse domains, from terrestrial navigation systems to lunar exploration. Dr. Dovis has supervised numerous PhD students working on cutting-edge GNSS research, with current students focusing on areas such as lunar navigation, GNSS interference monitoring, and robust positioning solutions for challenging environments. His research spans multiple EU-funded projects including EMERITUS (2022-2025), LuGRE (2021-2025), and ROOT (2020-2022). Steering Committee member - Institute Of Navigation, USA (2021-2023) Editorial Board member - GPS SOLUTIONS (2017-) Program chair - International Conference on Localization and GNSS 2013 He has contributed to numerous patents in GNSS technology and serves as Scientific Director for multiple research initiatives including the NODES program under the PNRR framework. His recent publications demonstrate a strong focus on advancing GNSS capabilities for space exploration, particularly for lunar missions, as well as addressing critical challenges in GNSS security and reliability.

• Global Navigation Satellite Systems
• GNSS Signal Processing
• Satellite Navigation Receivers
• +۵ مورد دیگر

Dr. Mihai Teodor Lazarescu is an Associate Professor at the Department of Electronics and Telecommunications (DET), Politecnico di Torino , where he contributes to research and teaching activities. He is also a member of the PolitoBIOMed Lab (Biomedical Engineering Lab) and the Ambient Sensing and Processing research group. Scientific Affiliation: IEEE Member (2019-present) Editorial Roles: Guest Editor for SENSORS, ELECTRONICS, and ACM Transactions on Embedded Computing Systems His research interests focus on hardware acceleration for machine learning algorithms, particularly using FPGAs for data center and embedded applications. He works on high-level synthesis optimization flows, capacitive sensor design for indoor monitoring, and low-power embedded systems . His work intersects Internet of Things , Wireless Sensor Networks , and Machine Learning with applications in human localization, environmental monitoring, and industrial automation. Recent publications demonstrate expertise in neural network optimization , DSP resource sharing , and multi-FPGA allocation . His teaching spans Applied Electronics , Digital Electronic Design , and Embedded Systems Optimization across bachelor's and master's programs in Electronic Engineering and Computer Engineering . Patents: Noise cancellation for single-plate capacitive sensors Capacitive sensor for space change detection Projects: Scientific Manager for Horizon 2020-S2RJU project (2018)

• Artificial intelligence
• Capacitive sensors
• Embedded software
• +۱۰ مورد دیگر

Claudio Germak is a Full Professor in the Department of Architecture and Design at the Polytechnic University of Turin, serving as Coordinator of the PhD Program in Design and Technology: People, Environment, Systems. He is also a component of the CARS@PoliTO Interdepartmental Center for Automotive Research and Sustainable Mobility and a Member of the Doctoral School Council. Previously, he served as President of the SID Italian Design Society from 2018 to 2020. Professor Germak's research spans industrial design, sustainable design, robotics design, public space design, and human-computer interaction. His work bridges traditional design practices with emerging technologies, focusing on how design enhances human experiences in physical and digital environments. He has led numerous research projects exploring design intersections with cultural heritage, sustainable mobility, and social innovation. His recent publications reveal a strong trend toward human-robot interaction, telepresence robotics, and ethical dimensions of robotic design. He has conducted significant research on public space design, aircraft cabin design, and the economic value of design in regional contexts, particularly in Piedmont, Italy. His work demonstrates a consistent commitment to multidimensional design approaches that integrate technical and humanistic perspectives. Professor Germak has supervised PhD students including Giulia D'Agostino, Stefano Gabbatore, and Lorenza Abbate, whose research explores co-design for well-being in transportation, social robotics systems, and telepresence experiences. He has secured funding for numerous research projects, including EU-funded initiatives like CULTURALITY and HESTER, as well as commercial collaborations with organizations like Lavazza. He is actively involved with research centers including the Institute of Mountain Architecture and the Study Center on the History of Design in Piedmont, contributing to both theoretical and applied design research that connects academic inquiry with practical applications in industry and public spaces.

• Industrial Design
• Sustainable Design
• Robotics Design
• +۴ مورد دیگر

Norbert Maggi is a Contract Professor affiliated with the University of Genoa, Italy. He contributes to teaching in multiple departments, including the Department of Pharmacy (DIFAR), Department of Experimental Medicine (DIMES), and the Department of Computer Science, Bioengineering, Robotics, and Systems Engineering (DIBRIS). His academic appointments span diverse fields such as Computer Engineering, Psychological Sciences, Pharmacy, and Biotechnology. His research focuses on metabolite profiling for plant characterization sustainable agrochemical applications bioactivity studies against plant pathogens health informatics initiatives interdisciplinary collaborations between Spain and Italy . Recent publications highlight his work on Ligurian aromatic plant ecotypes, garlic bioactivity, and the FAIR4Health to 1+MG Initiative transition. These studies employ techniques like NMR spectroscopy and targeted metabolomics to advance agricultural and health data research.

• Computer Science
• Bioengineering
• Pharmacy
• +۷ مورد دیگر

Giulia Sammartano is a Fixed-term Tenure-Track Assistant Professor at the Department of Architecture and Design (DAD) of the Polytechnic University of Turin . She is a member of the FUTURE Urban Legacy Lab (FULL) and engages in interdisciplinary research at the intersection of geomatics, cultural heritage, and sustainable architecture. Scientific Branch: Geomatics (CEAR-04/A, Area 0008 - Civil Engineering and Architecture) ERC Skills: PE8_3 (Civil Engineering), PE6_8 (Computer Graphics), SH2_12 (GIS), PE2_15 (Metrology) SDG Contributions: Quality Education, Gender Equality, Cities & Communities, Climate Action Her research interests include 3D modeling , digital cultural heritage , UAV photogrammetry , and SLAM-based mapping . She specializes in applying advanced geomatic techniques for heritage documentation, with a focus on laser scanning , point cloud processing , and HBIM (Heritage Building Information Modeling). Recent publications highlight her work on the REVHEAL and HERITALISE projects, exploring topics like masonry vault simulations , autonomous robotic surveying , and ML/DL classification of LiDAR data . She serves as Guest Editor for journals such as Remote Sensing , Sensors , and Drones . Awards: Polytechnic University of Turin Publications Award (2016, 2018) Best Poster SIFET2017 (2017) Quality of Research Activity (2016) Scientific Memberships: ICOMOS Italia (2023-) CIPA Heritage Documentation (2023-) ISPRS (2020-)

• 3D models
• Digital cultural heritage
• Digital photogrammetry
• +۱۰ مورد دیگر