Find Academic Supervisors

• Robotics
• Vibrations
• Mechanics of Machines
• +3 more

Rinaldo Garziera is a Full Professor at the Department of Systems Engineering and Industrial Technologies (DISTI) within the Faculty of Engineering at the University of Parma, Italy. He has served the university since 1991 and currently holds the position of Department Director until 2027. His teaching portfolio includes Functional Mechanical Design for Mechanical Engineering Master's programs and Fundamentals of Mechanics for Management Engineering Bachelor's degrees across multiple academic cohorts from 2015/2016 to 2025/2026. His academic journey began with a competitive placement at Scuola Normale Superiore of Pisa (Physics) in 1980, followed by a Mechanical Engineering degree from Polytechnic of Milan in 1987. He completed PhD studies at Polytechnic of Milan's Institute of Mechanical Drives starting in 1989, joined University of Parma as University Researcher in 1991, and achieved Full Professorship in Mechanics Applied to Machines (SSD ING-IND/13) in 2001. Born: Como, May 1, 1962 Scuola Normale Superiore di Pisa: Class of Science (Physics), 1980 Polytechnic of Milan: Mechanical Engineering degree, July 19, 1987 Polytechnic of Milan: PhD candidate, Institute of Mechanical Drives (Nov 1989) Garziera's research centers on robotics kinematics, vibration analysis, and motion dynamics. He developed an original recursive equation for inverse kinematics of redundant robots and extended the Rayleigh-Ritz method for vibration analysis of continuous bodies with complicating effects. His work addresses practical engineering challenges including tape unwinding dynamics, cylindrical shell vibrations with fluid interactions, and motion law development for controlled drives. Current investigations focus on metamaterials for noise control and sustainable design methodologies. His 2024-2025 publications demonstrate interdisciplinary convergence across robotics, sustainable engineering, and computational mechanics. Key trends include dual-gantry motion optimization, NURBS-based path planning, sustainable CAE tool integration, advanced joint mechanics, and machine learning-driven acoustic metamaterials. These works bridge theoretical mechanics with industrial applications in energy systems and manufacturing. Scientific Awards No awards mentioned in source material Garziera serves as reference professor for Management Engineering programs and directs DISTI department operations. While student advising history isn't detailed, his decades-long teaching record across 10+ academic years indicates extensive mentorship. No specific grant information appears in the provided text. No dedicated laboratory or research team structures are described in the available documentation, though his departmental leadership role suggests oversight of DISTI's research infrastructure.

• Computational Chemistry
• Molecular Dynamics
• Quantum Chemistry
• +5 more

Massimiliano Aschi is a Full Professor in the Department of Chemistry, Materials and Chemical Engineering at the University of L'Aquila, Italy. His academic focus lies in scientific-disciplinary sector CHIM/03 - General and inorganic chemistry, with expertise spanning computational chemistry, molecular dynamics, and quantum chemical simulations. Professor Aschi's research interests center on the application and implementation of algorithms for numerical simulation of atomic-molecular systems for modeling chemical observables (thermodynamic, kinetic and spectroscopic). His work bridges theoretical chemistry with practical applications in areas such as: Computational spectroscopy and vibrational analysis Molecular dynamics simulations of complex systems Statistical mechanics applications to chemical thermodynamics and kinetics Quantum mechanical modeling of chemical systems Liposome and membrane biophysics Chiral molecule analysis and spectroscopy His recent publication trends show a strong focus on computational approaches to understand molecular behavior in various environments. He has published extensively on statistical mechanics applications, vibrational spectroscopy, and the behavior of molecules in liposomal and nanostructured environments. His work often combines experimental validation with sophisticated computational models, particularly in the areas of chiral recognition, membrane interactions, and quantum dynamics of chemical systems. The research demonstrates a consistent integration of computational methods with experimental chemistry across multiple subdisciplines from pharmaceutical applications to environmental remediation.

Vittorio RomanoView profile

Professor

• Mathematical Physics
• Semiconductor Device Modeling
• Graphene Transport Phenomena
• +7 more

Prof. Vittorio Romano (b. 1966) is a Full Professor of Mathematical Physics at the Department of Mathematics and Computer Science, University of Catania, Italy. He obtained his Laurea Magna cum Laude (1989) and PhD in Mathematics (1994) from Catania. His research focuses on charge/phonon transport modeling in semiconductors and graphene , non-equilibrium thermodynamics , and numerical methods for hyperbolic systems . Research areas include relativistic fluid dynamics, nonlinear wave propagation, stability of shock waves, and applications in cosmology. He has led major EU projects like COMSON (FP6) and AMBEATION (MSCA-RISE), and developed MEP-based hydrodynamic models for nanoscale devices. Scientific leadership : Director of A.M. Anile Interdepartmental Center, ECMI Council member, GNFM Co-Chair Key publications : 24 (Scopus) and 35 (Google Scholar) H-index with over 3900 citations International collaborations : Autonomous University of Barcelona, Kaiserslautern University, ST-Microelectronics, Synopsys He has supervised 9 PhD students in topics ranging from quantum transport to Monte Carlo simulations, and organized conferences like SCEE 2018 and ICTT 2015. His editorial roles include associate editor for Frontiers in Applied Mathematics and Statistics and guest editor for Entropy.

Giovanni IaccaView profile

Researcher

• Machine Learning
• Evolutionary Algorithms
• Optimization
• +5 more

Giovanni Iacca is affiliated with the University of Trento , where he contributes to research in computational intelligence and optimization. His work spans evolutionary algorithms, memetic computing, and constrained optimization, often intersecting with engineering and applied machine learning. Research interests include Memetic Computing Evolutionary Algorithms Optimization Problems Neural Architecture Design Social Network Analysis Sensor Networks His publications reveal a focus on hybridizing evolutionary methods with adaptive strategies (e.g., Super-fit Multicriteria Adaptive Differential Evolution ), constrained optimization techniques (e.g., Memetic Viability Evolution ), and applications in sensor networks and social systems. He frequently collaborates with researchers like Ferrante Neri, E. Mininno, and D. Floreano.

• Digital Twin technology
• Mechatronic systems
• Robotics and automation
• +3 more

Chiara Nezzi is a Research Assistant at the Faculty of Engineering , Free University of Bozen-Bolzano , operating from the NOI Techpark facility in Bolzano, Italy. Her work bridges academia and industry through applied research projects. Research Focus: Digital Twin technology, mechatronic systems, robotics, and computer vision in manufacturing. She explores kinematic modeling, energy efficiency in robotic operations, and sustainability in engineering education. Publication Trends: Recent work emphasizes real-time validation of industrial systems, hybrid simulation architectures, and educational applications of Digital Twin technology. Her studies often involve collaboration with South Tyrolean mechanical engineering companies. Advanced modeling for rail-guided shuttles and mesh welding plants Integration of eye-tracking in design evaluation processes Life cycle assessment of sustainable construction solutions

Massimo Callisto De DonatoView profile

Assistant Professor

• Internet of Things
• Digital Twin
• Machine Learning
• +6 more

Massimo Callisto De Donato is an Assistant Professor specializing in Internet of Things, Digital Twin, and Machine Learning applications for real-world systems. His research addresses critical challenges in environmental management, workplace safety, and disaster response through advanced computing solutions. His primary research domains include: IoT infrastructure for real-time industrial and environmental monitoring Digital Twin development for process simulation and prediction Machine Learning frameworks for safety-critical applications Human behavior analysis using community detection algorithms ICT systems for earthquake rescue operations Analysis of his 2020-2025 publications reveals a consistent trajectory toward integrating Digital Twin and IoT technologies with machine learning for predictive capabilities. Key application areas include wastewater management (decanter centrifuge modeling), smart living environments, and earthquake disaster response systems, with increasing emphasis on real-time simulation and human activity recognition. No scientific awards are documented in the available information. Details regarding student supervision, research grants, and laboratory affiliations are not provided in the source materials.

• Cloud Computing
• 5G Networks
• Programmable Data Plane
• +8 more

Paolo Giaccone is a Full Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino. He serves as Course Coordinator for the Master's Degree in Communications Engineering and contributes to teaching in the College of Electronic, Telecommunications and Physics Engineering. His research focuses on cloud computing, 5G networks, programmable data planes, WiFi-based crowd monitoring, and network softwarization . His recent publications highlight edge computing, microservice orchestration, and resource optimization in cloud and network systems. Collaborations with researchers like Carla Chiasserini and Holger Karl dominate his work. He has received honors such as the Open badge Learning to Teach (L2T) and served as Associate Editor for IEEE/ACM Transactions on Networking. He advises PhD candidates including Antonio Calagna and Madhura Adeppady, and leads projects like SmartShires and TrialsNet for next-generation networks.

• Active aging
• Activity monitoring
• Ambient assisted living
• +10 more

Luigi Borzi' is a Fixed-term Assistant Professor at the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino. He is a member of the Interdepartmental Center PolitoBIOMed Lab - Biomedical Engineering Lab and contributes to the SMILIES - reSilient computer architectures and LIfE Sciences research group. Research Interests : His work focuses on applied artificial intelligence , machine learning , and biomedical signal processing for healthcare applications, particularly addressing active aging , gait disorders , and wearable devices in ambient-assisted living environments. Publications highlight trends in healthcare technology , with emphasis on Parkinson's disease , fall detection , and human activity recognition using FMCW radars , edge computing , and graph-based methods to improve elderly care and telemedicine. Teaching includes roles as Main teacher for the PhD course Machine Learning in Healthcare: From Theory to Practice (2023/24 to 2025/26) and Lecturer for undergraduate courses like Algorithms and Programming and Computer Science across multiple engineering disciplines. Labs & Projects : He contributes to the PolitoBIOMed Lab and is part of the PERSIMMON research project (2024-2028), which develops personalized sustainable smart patches under EU-funded HE - Global Challenges - Digital, Industry and Space initiatives.

Vincenzo SpagnoloView profile

Researcher

• Optical Sensing
• Spectroscopy
• Gas Detection
• +3 more

Vincenzo Spagnolo is a leading researcher affiliated with the PolySense team, focusing on optical gas sensing, photoacoustic spectroscopy, and laser-based sensor development. His work addresses critical challenges in environmental monitoring, energy safety, and industrial applications through advanced photonics technologies. Recognized in the AD Scientific Index World Scientists Rankings 2025 and 2024 Featured in Stanford University's Top 2% Scientists List (Full Career) 2023 Recent research highlights include: Ultra-compact QEPAS sensors for water vapor and greenhouse gases Black Quartz technology for mid-infrared absorption enhancement Remote gas sensing via optical synchronization methods PPB-level SO 2 and CO impurity detection in industrial gases Flow dynamics characterization for optimized sensor chambers His publications demonstrate expertise in: Quartz-Enhanced Photoacoustic Spectroscopy (QEPAS) Laser Diode Systems Waveguide and Fiber Optics Integration Trace Gas Detection High-Power Solid-State Lasers Multi-Heterodyne Spectroscopic Techniques Scientific awards and recognitions: AD Scientific Index World Scientists Rankings 2025 and 2024 Stanford University Top 2% Scientists List (Full Career) 2023 Five consecutive years in the Top 2% Scientists list The PolySense team's work under Spagnolo's contributions continues to push boundaries in optical sensing, with applications spanning hydrogen safety, natural gas analysis, and environmental monitoring through innovations in laser technology and sensor design.

• Precision Agriculture
• Agricultural Machinery
• Viticulture Mechanization
• +4 more

Pietro Catania serves as a Full Professor in the Department of Agricultural, Food and Forestry Sciences at the University of Palermo's Polytechnic School. His office is located in Room No. 135 of the SAAF Department, where he holds regular office hours on Mondays and Wednesdays from 11:00 to 13:00, as well as at the Viticulture and Enology Degree Course Headquarters. Professor Catania has maintained a consistent academic presence since at least 2009, teaching specialized courses in agricultural mechanization with particular expertise in viticulture systems and precision farming technologies. Professor Catania's research spans several critical areas of modern agricultural engineering: Precision Agriculture and Smart Farming Systems Drone and Remote Sensing Applications in Agriculture Viticulture Mechanization and Oenological Plants Agricultural Machinery Design and Ergonomics Sustainable Resource Management in Mediterranean Agriculture Post-harvest Technology and Processing Systems His recent scholarly output demonstrates a clear focus on cutting-edge technological applications in agriculture, particularly the integration of drones, sensors, and AI in vineyard and olive orchard management. Professor Catania's work bridges traditional agricultural practices with modern technological innovations, addressing practical challenges in irrigation management, precision spraying, yield mapping, and sustainable resource use across Sicilian agricultural landscapes. His research methodology often combines field studies with advanced data analytics to develop practical solutions for farmers. Professor Catania maintains an active teaching schedule for the 2025/2026 academic year, instructing courses such as 'Viticulture Mechanisation and Oenological Plants,' 'Mechanics and Agricultural Mechanisation,' 'Use of Drones and Machines for Precision Agriculture,' and 'Green Landscape Systems and Maintenance.' His student evaluations over multiple academic years (2014-2024) consistently reflect strong engagement with students across various agricultural technology programs.

Norbert MaggiView profile

Professor

• Computer Science
• Bioengineering
• Pharmacy
• +7 more

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.

• Embedded Systems
• Operating Systems
• Distributed Systems
• +2 more

Kasım Sinan Yildirim is an Assistant Professor in the Computer Engineering Department at Ege University, Turkey. His work focuses on embedded systems, operating systems, and time synchronization in wireless sensor networks (WSNs). He previously worked as a software engineer at Beko Electronics R&D (2003-2007) and as a research assistant at Ege University (2007-2013). B.Sc. in Computer Engineering, Ege University (2003) M.Sc. in Computer Engineering, Ege University (2006) Ph.D. in Computer Engineering, Ege University (2012) His research introduces adaptive-value tracking for energy-efficient time synchronization in WSNs, achieving 97% less CPU overhead and 80% reduced memory allocation compared to flooding-based methods. This work addresses critical challenges in distributed algorithms and network protocol optimization.

• Manufacturing Engineering
• Materials Science
• Laser Welding
• +3 more

Dario Basile is a PhD candidate and Lecturer at the Department of Management and Production Engineering (DIGEP) at Politecnico di Torino. He teaches Manufacturing Processes and collaborates in courses related to Automotive Engineering, Mechanical Engineering, and Management Engineering. His research focuses on advanced manufacturing technologies, including: Laser welding of aluminum alloys and thermoplastics Robot-assisted manufacturing systems Material joining for nuclear applications Surface repair techniques for metallic alloys Recent publications analyze: Thermal cycle modeling in laser welding Optical microphone sensing for process monitoring Sensor integration in remote laser welding Automation of polymer joining technologies His work bridges computational modeling with hands-on manufacturing innovation.

• Manufacturing Technologies
• Control Systems
• Production Engineering
• +3 more

Valentino Razza serves as a Fixed-term Assistant Professor in the Department of Management and Production Engineering (DIGEP) at Politecnico di Torino, where he is also a member of the Interdepartmental Center J-Tech@PoliTO. His academic appointments span multiple colleges including the College of Management and Production Engineering (primary affiliation), College of Computer, Film, and Mechatronics Engineering, and College of Mechanical, Aerospace, and Automotive Engineering as an invited member. His research focuses on Manufacturing Technologies and Systems with specialization in Automatic Identification Systems and Control Systems. Key research areas include laser welding processes, thermographic material inspection, production system optimization, and digital control architectures. His work intersects with Sustainable Development Goals 9 (Industry, Innovation, Infrastructure) and 12 (Responsible Consumption and Production) through advanced manufacturing solutions. Razza's publication portfolio demonstrates strong emphasis on laser-based manufacturing technologies and non-destructive testing methods . His recent work combines computational modeling with experimental validation in welding processes, thermoplastic joining, and quality control systems. The research consistently applies control engineering principles to solve production technology challenges. He holds a national/international patent for Methodology for the Non-Destructive Testing of Welded Joints Using Active Thermography (co-invented with Manuela De Maddis and Luca Santoro), demonstrating practical applications of his research. In teaching, Razza serves as Course Collaborator across multiple degree programs including Management and Production Engineering, Computer Engineering, and Automotive Engineering. His instructional focus includes Digital Control Technologies, Analysis and Management of Production Systems, and emerging topics like Machine Learning in Manufacturing Applications for PhD students.

• Industry 4.0/5.0
• Digital Twin
• Additive Manufacturing
• +3 more

Mansur Asranov is a Ph.D. candidate in Management, Production and Design at Politecnico di Torino, affiliated with the Department of Management and Production Engineering (DIGEP). He serves as a Research Fellow and External Lecturer, focusing on Industry 4.0/5.0 technologies. His work spans digital twins, IoT, and additive manufacturing. Research Interests: Mansur explores remote multi-agent collaboration frameworks, IoT taxonomy for education, and digital twin applications in production systems. His studies integrate collaborative robotics with energy efficiency in automated logistics. Publications: Recent works include contributions to digital twin architectures, IoT solutions for manufacturing, and Erasmus+ capacity-building projects in Uzbekistan. Key conferences include IFIP WG 5.1 on Product Lifecycle Management. Teaching: He collaborates on courses like Industry 4.0 for Production Systems and Digital Technologies for Industry 4.0 Lab, spanning Automotive Engineering and Management Engineering curricula. Labs & Teams: Involved in open-source IoT laboratories for remote teaching, emphasizing hands-on learning in Industry 4.0 contexts.