جستجوی استاد راهنمای دانشگاهی

• 3D models
• Digital cultural heritage
• Digital photogrammetry
• +۱۰ 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-)

Gianluigi Pillonettoمشاهده پروفایل

استادیار

• System Identification
• Stochastic Systems
• Deconvolution Problems
• +۳ مورد دیگر

Gianluigi Pillonetto is an Assistant Professor at the Department of Information Engineering , University of Padova , where he has been employed since 2005. His academic career focuses on system identification, stochastic systems, and nonparametric regularization techniques. Born: January 21, 1975 in Montebelluna, Italy Education: Doctoral degree (1998) and PhD (2002) in Computer Science/Engineering Research roles: Visiting scholar (2000), Visiting scientist (2002), Research Associate (2002-2005) His research spans system identification, stochastic processes, and deconvolution problems, with a particular emphasis on Bayesian methods and kernel-based regularization. He has contributed to areas like distributed Gaussian regression, sparse system identification, and nonlinear stochastic modeling in physiological systems. Recent publications (2016-2021) examine Gaussian regression techniques for distributed systems, entropy-based kernel design, and nonlinear stochastic deconvolution. These works incorporate machine learning principles into control theory, focusing on applications in wireless communications, robotics, and biomedical engineering.

• Control Systems Engineering
• Power Electronics
• Robotics and Automation
• +۳ مورد دیگر

Antonino Sferlazza is an Associate Professor in the Polytechnic School at the University of Palermo, specializing in Control Systems Engineering and Power Electronics. His research focuses on advanced control strategies for electric drives, power converters, and robotics systems. He has taught courses such as Automotive Control Systems , Automatic Controls , and Dynamic Systems Identification and Filtering across multiple engineering disciplines, including Electronics and Aerospace Engineering. His work emphasizes sensorless control of motors (e.g., BLDC, PMSM), DC-DC converter design for automotive and energy systems, and nonlinear control methodologies. Notable contributions include studies on Silicon Carbide (SiC) and Gallium Nitride (GaN) switches for electric vehicle recharging, and robust disturbance rejection control for DC microgrids. He has supervised numerous theses on topics like drone propulsion systems, ROV control, and predictive control algorithms for inverters. His research also extends to localization systems using inertial data and hybrid observers, as well as applications in renewable energy (e.g., micro wind turbines) and automotive systems (e.g., exhaust energy recovery). Sferlazza contributes to both theoretical advancements and experimental validation, publishing in journals and conferences on control systems, power electronics, and robotics.

• Mechanical Engineering
• Vibration Analysis
• Condition Monitoring
• +۹ مورد دیگر

Riccardo Rubini is a Full Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Engineering Sciences and Methods . His academic roles include teaching and research in mechanical engineering, with a focus on machine dynamics, vibration analysis, and condition monitoring. His teaching responsibilities include courses such as Mechanics of Machines and Structures , Applied Mechanics to Machines , and Dynamics of Machines and Laboratory . His research interests span mechanical systems, bearing diagnostics, predictive maintenance, and non-stationary condition monitoring. He has contributed to advancing methodologies for fault detection in rolling bearings, vibration-based diagnostics, and the development of datasets for industrial applications like independent cart systems. His work emphasizes practical applications in industries such as packaging machinery and linear motor systems. Recent research trends in his articles (2020–2025) highlight advancements in data-driven diagnostics, shell models for nanotubes, and experimental modal analysis. He has also engaged in educational outreach, developing vibration concepts for high school students. His methodologies often integrate signal processing techniques, machine learning, and physical modeling to address challenges in mechanical systems' reliability and performance.

Hasan Dad Ansari Mohammadمشاهده پروفایل

پژوهشگر

• Microrobotics
• Surgical Robotics
• Magnetic Actuation Systems
• +۵ مورد دیگر

Hasan Dad Ansari Mohammad is a postdoctoral researcher at Scuola Superiore Sant'Anna's BioRobotics Institute and affiliated with the Department of Excellence in Robotics & A.I. Research . He holds a joint PhD in BioRobotics from Scuola Superiore Sant'Anna and a Doctor of Engineering Technology from KU Leuven, earned through the Marie-Sklodowska Curie ATLAS project. His work focuses on microrobotics and surgical robotics, particularly magnetic actuation for endovascular applications. Research Interests: Specializing in magnetic microrobotics , Hasan develops technologies for endovascular interventions , combining 3D printing and soft robotics for medical devices. His research includes AI-driven biomedical material design , biohybrid robots , and nano-toxicology modeling. Recent Publications (2025-2020): Key contributions include magnetic catheterization systems, soft robots with programmable magnetization, and computational nanotoxicology frameworks. These works span robotics , biomedical engineering , and AI applications . Scientific Awards: Marie-Sklodowska Curie Early Stage Researcher Fellowship

Giovanna Di Pasqualeمشاهده پروفایل

دانشیار

• Photooxidation and photostabilization of polymeric materials
• Synthesis and thermal characterization of high-performance polymers
• Nanostructured polymeric systems
• +۲ مورد دیگر

Giovanna Di Pasquale is an Associate Professor at the Department of Chemical Sciences, University of Catania. Her research focuses on polymer materials, with expertise in photooxidation, nanocomposites, and green sensor technology. She has directed multiple research projects and collaborated on international initiatives. Specializes in ionic polymer-metal composites (IPMCs) and bacterial cellulose sensors Active in green electronics and sustainable material applications Key collaborations include PON R&C projects like Volcan Guard and RESIMA. Her teaching covers chemistry for engineering and material science courses. Research trends show strong emphasis on bacterial cellulose-based sensors (6/15 articles), fractional order electronics (3/15), and IPMCs (5/15). Publications span 2014-2021 with recurring themes in polymer nanocomposites and green technology.

• Design Education
• Open Source Design
• Digital Fabrication
• +۱۴ مورد دیگر

Fabrizio Valpreda is an Associate Professor at the Department of Architecture and Design (DAD), Polytechnic University of Turin (PoliTO), where he actively contributes to teaching, research, and innovation in design. He is a member of the Interdepartmental Center for Service Robotics (PIC4SeR) and serves as the scientific director of virtuaLAB - Design Polito, a laboratory dedicated to digital fabrication, 3D prototyping, and visual communication. His academic work bridges the undergraduate program in Design and Communication and the Master’s program in Systemic Design , fostering interdisciplinary collaboration and open knowledge sharing. His research interests are centered on open source design , digital fabrication , systemic design , and education for sustainability . He promotes the integration of FabLab practices and maker culture into academic curricula, emphasizing local production and global technological fluency. His work aligns with principles of the circular economy and open access to design information, supported by his expertise in human-computer interaction and industrial design. Fabrizio Valpreda has been actively involved in doctoral education, serving on multiple doctoral colleges including Design and Technology: People, Environment, Systems and Technologies and Methods for University Education at both PoliTO and the University of Palermo. His pedagogical innovation is further demonstrated through his participation in the Mentoring Polito Project (M2P) and TLlab-Polito, where he helps connect experienced educators with emerging teaching professionals. Among his notable recognitions is the XXVI Compasso d'Oro - Youth Award (2016) , awarded by the Association for Industrial Design (ADI), Italy, for the TooWheels open design project. He has also led research initiatives such as the industrial design of a portable water filter (2015–2016) and co-founded Felfil, a startup incubated at I3P, PoliTO’s innovation hub. These reflect his commitment to translating academic research into real-world, sustainable solutions. Valpreda plays a key role in linking academic design with local craftsmanship and micro-production through his role as Academic Mentor at Fablab Torino (since 2019). This hybrid engagement supports experiential learning and strengthens ties between education, research, and regional artisanal ecosystems. His leadership in virtuaLAB provides students and researchers with hands-on experience in advanced prototyping and digital modeling tools.

Fabio Fagnaniمشاهده پروفایل

استاد

• Dynamical systems over large-scale networks
• Distributed control and estimation
• Opinion dynamics
• +۷ مورد دیگر

Fabio Fagnani is a Full Professor of Mathematical Analysis at the Department of Mathematical Sciences (DISMA) , Politecnico di Torino , Italy. He is a leading researcher in network dynamics, distributed control, and game theory, with a strong record of supervising doctoral students and leading national and international research projects. Education & Academic Background: Full Professor of Mathematical Analysis, DISMA, Politecnico di Torino 2017 Petar Kokotovic Distinguished Professor, UCSB 2019–2020 Leverhulme Visiting Professor, Royal Holloway University of London Research Interests: His research spans dynamical systems over large-scale networks , including cooperative algorithms for distributed control, estimation, and synchronization. He investigates opinion dynamics and epidemic spreading in networks, with a focus on minority influence, leadership, and heterogeneity. He also explores game theory over networks and learning algorithms in multi-agent systems. Research Trends from Publications: Recent work focuses on epidemic modeling (SIR/SIS dynamics), opinion dynamics with stubborn agents, and control of networked systems . His publications in IEEE Transactions on Control of Network Systems , Artificial Intelligence , and IEEE Control Systems Letters reflect a deep engagement with both theoretical and applied aspects of network science, including AI-driven pathfinding, coevolutionary models, and resilience analysis. Scientific Awards: 2017 Petar Kokotovic Distinguished Professor 2019–2020 Leverhulme Visiting Professor ICAPS-2020 Best Paper Honorable Mention Award PhD Supervision & Research Leadership: He has supervised numerous PhD students including Davide Sipione , Sebastiano Messina , Martina Alutto , and Roberta Raineri . He leads the Analysis and Control of Network Systems research group and has been the Principal Investigator for projects such as SUP-CHAIN-DIS (2023–2025) and Distributed AI for future mobile networks (2020). Labs & Research Groups: He is affiliated with the Analysis and Control of Network Systems group at DISMA, Politecnico di Torino, and has collaborated with institutions such as UCSB, Royal Holloway University of London, and INRIA.

• Advanced Manufacturing Processes
• Metal Forming Technologies
• Biomedical Implant Manufacturing
• +۵ مورد دیگر

Antonio Piccininni serves as an Assistant Professor in the Department of Mechanics, Mathematics & Management at Polytechnic University of Bari, Italy. His academic focus centers on advanced manufacturing technologies with particular expertise in metal forming processes, biomedical implant production, and sustainable manufacturing techniques. His research interests span multiple domains of manufacturing engineering, with emphasis on incremental forming , hydroforming , laser-assisted manufacturing , and superplastic forming techniques. Dr. Piccininni has made significant contributions to the development of customized biomedical implants, particularly cranial prostheses using titanium alloys, and has pioneered research in eco-friendly manufacturing processes including sustainable lubricants for metalworking applications. Analysis of his publication record reveals a clear progression from fundamental metal forming research toward increasingly specialized applications in biomedical engineering and sustainable manufacturing. His recent work demonstrates sophisticated integration of computational methods including machine learning, finite element analysis, and multi-criteria optimization techniques to solve complex manufacturing challenges. The trend shows growing emphasis on biomedical applications and environmental sustainability in manufacturing processes. Dr. Piccininni's research has practical applications in multiple industries including medical device manufacturing, automotive components production, and sustainable metalworking practices. His work bridges theoretical modeling with experimental validation, often incorporating advanced materials like titanium alloys and aluminum for specialized applications requiring high precision and biocompatibility.

Mario Milazzoمشاهده پروفایل

پژوهشگر

• Multiscale Modeling
• Mechanics of Acoustics
• Biomaterials
• +۴ مورد دیگر

Dr. Mario Milazzo is a researcher at the BioRobotics Institute of Sant'Anna School for Advanced Studies , with a current appointment at Massachusetts Institute of Technology (USA). His work bridges robotics, biomaterials, and computational modeling through interdisciplinary projects. He earned a PhD in BioRobotics (2016) from Sant'Anna School for Advanced Studies after completing his Mechanical Engineering degree at the University of Pisa (2010). Research Areas: Multiscale modeling, industrial robotics, biomaterials, and bioinspired design using deep learning. Industry Collaborations: Ge Oil&Gas, Brembo, Magneti Marelli, Piaggio. His recent publications highlight trends in industrial robotics (autonomous platforms, path planning, electro-hydraulic systems) and biomedical applications (bone regeneration, protein nanostructures, tympanic scaffolds). Key methodologies include sonification, molecular modeling, and AI-driven material design. Scientific Awards : Marie Skłodowska-Curie Individual Fellowships (MSCA-IF-GF) with MIT, University of Antwerp, Tufts, and University of Pisa He has co-authored 25+ international journal papers , 9 patents , and 24 conference contributions , while serving as a reviewer for 20+ journals and guest editor for Polymers (MDPI). His leadership roles in industry projects and symposium organization demonstrate his translational research focus.

• Database Systems
• Assistive Technology
• Smart Home Systems
• +۵ مورد دیگر

Sara Comai is an Associate Professor at the Politecnico di Milano , affiliated with the Department of Electronics, Information and Bioengineering . She coordinates the Assistive Technology Group (ATG) and leads the MEP (Maps for Easy Paths) project. Research Focus : Database systems, smart home technologies, indoor localization, and assistive solutions for elderly/dementia patients Recent Trends : 2025-2023 publications highlight Occupancy detection via Wi-Fi/infrared sensors Behavior classification for Alzheimer's patients Wearable/RFID-based health monitoring Human-robot collaboration in agriculture Adaptive machine learning for land use segmentation

Giuseppe Vizzielliمشاهده پروفایل

دانشیار

• Gynecological Oncology
• Minimally Invasive Surgery
• Robotic Surgery
• +۷ مورد دیگر

Giuseppe Vizzielli is an Associate Professor of Gynecology and Obstetrics at the University of Udine, with a clinical role at the Santa Maria della Misericordia University Hospital in Udine. His expertise spans gynecological oncology , minimally invasive surgery , and robotic/laparoscopic techniques , focusing on ovarian, endometrial, and cervical cancers. His research emphasizes Personalized medicine for gynecological malignancies Molecular classification of tumors Sentinel lymph node mapping Robotic surgery in severe obesity Recent articles highlight trends in endometrial cancer staging , sentinel node applications , inflammatory biomarkers , and AI in surgical education . Publications span clinical trials, meta-analyses, and translational studies.

Alberto Mazzoniمشاهده پروفایل

دانشیار

• Neuroengineering
• Neural Dynamics
• Basal Ganglia Dysfunction
• +۷ مورد دیگر

Alberto Mazzoni is an Associate Professor and Head of the Computational Neuroengineering Lab at the BioRobotics Institute of Scuola Superiore Sant'Anna. His work focuses on neural engineering, motor disorders, and neuroprosthetics. Key affiliations include collaborations with GALVANI and the NEBIAS project. Education: PhD in Neurobiology (2007, SISSA/ISAS), MSc in Theoretical Physics (2002, University of Pisa). Post-doctoral research included roles at the Institute for Scientific Interchange (Torino) and Istituto Italiano di Tecnologia. Research interests center on basal ganglia dysfunction in Parkinson's and dystonia, sensory processing in neuroprosthetics, and computational models of neural systems. Notable projects include DBS efficacy studies, stroke recovery prediction, and Alzheimer's disease modeling. His lab develops bioelectronic solutions for movement disorders and sensory restoration. Collaborations span clinical neuroscience, robotics, and neuromorphic engineering. Over 100 peer-reviewed publications demonstrate expertise in neural dynamics, computational modeling, and translational neurotechnology. Grants and funding support work on neuroprosthetics, cognitive decline prediction, and personalized brain modeling. Ongoing efforts explore machine learning applications for early disease detection and adaptive neural interfaces.

Federico Nestiمشاهده پروفایل

پژوهشگر

• Machine Learning
• Adversarial Robustness
• Robotics
• +۵ مورد دیگر

Federico Nesti is a Ph.D. researcher at the Retis Lab (Tecip Institute, Scuola Superiore Sant'Anna), funded by the Department of Excellence in Robotics & AI . He also works as a consultant for the same institution in railway navigation and localization systems. Education : BSc in Electronics Engineering (University of Pisa, 2015) MSc in Robotics and Automation Engineering (2018) Research Interests focus on adversarial robustness of machine learning models , autonomous driving safety , railway system simulation , and adversarial attack defense mechanisms . His work bridges machine learning security and real-world applications in transportation and space systems. Academic Trends show a trajectory from thermal engineering for space missions ( U-PHOS project ) to current work on AI robustness for autonomous vehicles and railway systems, with a strong emphasis on practical implementation and safety validation . Scientific Recognition : Second prize at Huawei University Challenge 2020 Selected for Deep Learning + Reinforcement Learning Summer School (2020) Collaborative Work includes internships at Fermilab (2017), MSc thesis at TU Delft (2018), and a visiting research position at University of Alicante (2022–present). Industrial collaborations with Hitachi STS (2020–2022) and Fabrica Machinale srl (2018–2019) further enrich his applied research profile.

• Precision Agriculture
• Remote Sensing
• Agricultural Engineering
• +۴ مورد دیگر

Gambella Filippo is an Associate Professor at the University of Sassari's Agricultural School, Department of Agricultural and Environmental Sciences. His work focuses on precision agriculture, remote sensing technologies, and mechanization of agricultural processes. He specializes in vineyard management, UAS applications, and sustainable farming practices. Research interests include disease detection via computer vision, soil degradation analysis, and the integration of UAV systems for crop monitoring and spraying. He has pioneered studies on biostimulant efficacy using multisensor analysis and developed decision-support systems for resource optimization in viticulture. His publications highlight advancements in precision viticulture, including canopy height modeling, nitrogen content prediction, and invasive species monitoring through satellite imagery. He also explores circular economy models for agricultural waste and Industry 4.0 applications in livestock farming. Notable contributions include the mechanization of saffron harvesting and the optimization of traditional bread production in Sardinia. His work bridges engineering, environmental science, and agronomy, emphasizing sustainability and technological innovation in Mediterranean agriculture.