Find Academic Supervisors

• Artificial Intelligence
• Machine Learning
• Internet of Things
• +13 more

Edoardo Patti is an Associate Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, Italy. He is actively involved in research and teaching, focusing on artificial intelligence, machine learning, IoT, smart grids, energy communities, co-simulation, and digital twin technologies. He is a member of the EDA (Electronic Design Automation) research group and the Interdepartmental Center IAM@PoliTo for Integrated Additive Manufacturing. His research interests span Artificial Intelligence, Machine Learning, Internet of Things, Smart Grids, Energy Communities, Co-simulation, Distributed Software Infrastructure, Digital Twin, Physics-Informed Neural Networks, and Reinforcement Learning . His work is closely aligned with Sustainable Development Goals such as Affordable and Clean Energy (Goal 7), Sustainable Cities (Goal 11), and Climate Action (Goal 13). The latest publications reveal a strong trend in AI-driven modeling for energy systems, including digital twins for wave energy converters, urban electric mobility simulation, real-time battery health estimation, and co-simulation platforms for integrated energy systems. His work combines machine learning with physical models and large-scale distributed systems to address sustainability challenges. He supervises several PhD students, including Maria Adelaide Loffa, Matia Torlini, Rafael Natalio Fontana Crespo, Pietro Rando Mazzarino, Claudia De Vizia, and Marco Massano. He has led numerous research projects funded by EU (H2020), PNRR, regional initiatives, and corporate contracts, particularly in additive manufacturing, smart grids, and IoT platforms. He is involved in multiple research groups and centers: EDA - Electronic Design Automation (DAUIN) Interdepartmental Center IAM@PoliTo - Integrated Additive Manufacturing

• Structural Mechatronics
• Rotor Dynamics
• Life Cycle Assessment (LCA)
• +4 more

Eugenio Brusa is Full Professor of Mechanical and Aerospace Engineering at the Polytechnic University of Turin (Politecnico di Torino), where he also serves as Director of the Doctoral School (2018-2024) and Scientific Advisor for the strategic partnership with Danieli & C. Officine Meccaniche. Since obtaining his PhD in 1997, he has held academic roles in both Turin and the University of Udine, progressing from researcher to Associate Professor (2002) and then Full Professor (2013). Education PhD, Polytechnic University of Turin (1997) Degree in Aeronautical Engineering (Laurea), Polytechnic University of Turin (year not specified) Research Interests Professor Brusa’s expertise lies at the intersection of mechanical design , mechatronics , and systems engineering . His work encompasses: Structural mechatronics and smart materials, including MEMS-scale systems Rotor dynamics and bearing systems for aerospace, steel, and automotive applications Life-cycle assessment (LCA) and circular design methodologies Model-Based Systems Engineering (MBSE) for sustainable industrial products Digital-twin-driven design and predictive maintenance Recent Publications at a Glance Over the past five years Professor Brusa has co-authored more than 20 peer-reviewed articles and conference papers. The research trajectory shows a clear emphasis on sustainable aviation (fuel-cell aircraft thermal management), energy harvesting (piezoelectric and vibration-based systems), digital twins for ice-prediction and rotor monitoring, and circular-economy-oriented design through LCA integration. These works collectively advance greener industrial products and smarter mechatronic systems. Scientific Awards & Distinctions Premio Nazionale “A. Capocaccia” (1999) – awarded by AIAS (Italian Association for Stress Analysis) Member/Associate Editor, journals Energies (2020-2024) and Proceedings of the IMechE Part C (2020-2022) Scientific-committee roles in INCOSE Italy, ASME Italy Section (President 2014-2015), UNITE! European Alliance, ESCP Business School, and several IEEE/ECCOMAS conferences Doctoral Advising & Research Funding Currently supervising seven PhD candidates in Mechanical Engineering and Materials for Sustainability. Since 2018, as Director of the Doctoral School, he oversaw more than 200 doctoral students across disciplines. Active research contracts include: EU and regional projects on predictive maintenance (PRIME 2021-2022) Industrial contracts with Danieli & C. (2025-2028) on scrap-metal crushing & shearing machinery Ongoing partnerships on oil-film bearings for rolling mills, fatigue-life assessment of hydraulic-turbine shafts, and additive-manufacturing quality control Laboratories & Teams Founder or co-founder of four research laboratories: Mechatronics Laboratory (1993) Testing and Characterization of Rotating Systems Laboratory (1997) Industrial Systems Engineering & Design (ISED) Laboratory (2020) – current leader Ubiquitous and Pervasive Technologies Laboratory, University of Udine (2005)

Giuseppe IannacconeView profile

Professor

• Quantum Electronics
• Neuromorphic Computing
• 2D Materials
• +5 more

Giuseppe Iannaccone is a full Professor at the University of Pisa , Department of Information Engineering. His research focuses on quantum electronics , neuromorphic computing , and 2D materials for advanced applications in analog circuits and high-temperature electronics. Lead researcher in QUEPE Quantum Engineering and QUEFORMAL projects Pioneer in neuromorphic chip design using silicon and 2D materials Active in developing high-temperature integrated circuits for industrial applications His recent work explores twisted transition metal dichalcogenides for spintronics, inkjet-printed 2D electronics on paper substrates, and wireless power transfer systems for medical devices. The Google Scholar articles show consistent contributions to analog neuromorphic engines , quantum transport modeling , and steep-slope transistor architectures . Collaborations include Gianluca Fiori and Benjamin Zambrano in neuromorphic hardware development. He actively promotes student well-being through institutional initiatives like the Ufficio Benessere at University of Pisa and has taught RFID and IoT courses for PhD students. Current research integrates MoS2/graphene heterostructures and van der Waals junctions for next-generation electronics.

• Mechanical Design
• Machine Construction
• Bearings
• +8 more

Chiara Gastaldi is an Associate Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin, specializing in mechanical design and machine construction. Her academic career spans multiple teaching roles across bachelor's, master's, and doctoral programs, with particular focus on sustainable design, mechanical engineering, and computational methods. She serves on the College of Mechanical, Aerospace, and Automotive Engineering and the College of Biomedical Engineering, contributing to curriculum development and academic governance. Dr. Gastaldi's research centers on bearings, friction, multiphysics modeling, and numerical modeling, with emphasis on sustainable and circular design approaches. Her work bridges traditional mechanical engineering with modern computational techniques, focusing on practical applications in aerospace engineering, computational engineering, fluid mechanics, and sustainable design. She leads the ISED (Industrial Systems Engineering and Design) research group, driving innovation in model-based systems engineering applied to sustainable product development. Her recent publications reveal a strong trend toward integrating sustainability principles into mechanical design, particularly through life cycle assessment methodologies applied to human-powered vehicles and circular design strategies. The research demonstrates growing interest in lattice metamaterials, friction modeling, and computational approaches to mechanical design optimization, with applications ranging from turbine blades to hydrogen storage systems. ASME Yetep Award (2016) ASME Yetep Award (2019) Dr. Gastaldi actively supervises multiple PhD students working on sustainable mechanical design, lattice metamaterials, and circular economy approaches. Her research portfolio includes significant projects funded by competitive calls and commercial contracts, such as PRIME for predictive maintenance, mechanical design of metal scrap crushing machines, CO2 footprint assessment of vehicle aftermarkets, and dynamic design of turbine blades with friction contacts for renewable energy applications. She also serves as an Associate Editor for the PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS. PART C, JOURNAL OF MECHANICAL ENGINEERING SCIENCE and participates in scientific committees including the ASME Technical Committee on Sound and Vibration and the International Committee on Joint Mechanics. Through the ISED research group, Dr. Gastaldi leads collaborative efforts in industrial systems engineering and design, with particular emphasis on sustainable and circular approaches to mechanical product development. Her team works closely with industry partners on practical applications of advanced mechanical design principles, while also mentoring the next generation of engineers through student teams like Policumbent, which focuses on human-powered vehicle design.

• Human-AI Content Moderation
• Data Curation
• Social Media Toxicity
• +2 more

Libby Hemphill is an Associate Professor at the University of Michigan's School of Information, with additional roles as Research Associate Professor at the Institute for Social Research and faculty appointments in the Digital Studies Institute. She directs the Resource Center for Minority Data and the Social Media Archive at ICPSR. Primary Affiliation: School of Information, University of Michigan Additional Roles: Research Associate Professor (Institute for Social Research), Director of Resource Center for Minority Data and Social Media Archive (ICPSR) Research Focus: Hemphill investigates human-AI collaboration in content moderation, data curation practices, and generative AI applications in social science. Her work addresses systemic challenges in social media toxicity, ethical data reuse, and AI governance. Publication Trends: Recent research spans AI-driven toxicity detection (2024-2025), data curation ethics (2022), and generative AI's societal impacts (2024). She employs computational methods for large-scale experiments and develops frameworks for responsible AI deployment. Labs & Initiatives: Leads the Social Media Archive, a critical resource for social media research, and directs the Resource Center for Minority Data at ICPSR, advancing equitable data practices.

• Polymer Science
• Polymer Technology
• Rheology
• +7 more

Francesco Paolo La Mantia is a Full Professor of Polymer Technology at the University of Palermo , specializing in polymer processing, recycling, and nanocomposites. He has served as Dean of the Faculty of Engineering (2004-2010) and currently holds the role of Pro-Rector for Strategic Planning and Recruitment Policies. Research Focus: Rheology, mechanical properties, and environmental degradation of polymeric materials Leadership: Director of the Environmental Chemical Engineering Laboratory (INCA Consortium), Coordinator of national/international research projects His scientific activity spans polymer blends, biodegradable systems, compatibilization techniques, and sustainable material design. He has contributed to over 290 ISI publications and 6 patents, with a h-index of 32 (Google Scholar 2013). The article trends (2025-2021) demonstrate sustained innovation in biodegradable polymer systems, recycling of heterogeneous waste, compatibilization strategies, and nanocomposite applications. His work addresses critical challenges in microplastics generation, agricultural polymer durability, and circular economy frameworks. Professional Roles: President of AIMAT Former President and current Treasurer of MoDeSt International Society Editorial Board Member: Polymer Degradation and Stability , Polimery , Progress in Rubber, Plastics and Recycling Technology Referee for national (MIUR, CNR) and international research agencies

• Energy efficiency in buildings and industry
• Heat and mass transfer
• Energy systems sustainability and optimization
• +5 more

Vincenzo Maria Gentile is a Fixed-term Assistant Professor at the Department of Energy (DENERG) , Politecnico di Torino . He holds scientific appointments in both Energy Transition and Low-Carbon Architecture and Energy and Nuclear Engineering programs. His research spans heat and mass transfer , energy systems optimization , and indoor air quality monitoring . Key research areas include: Hydrogels for water-air separation Natural ventilation in emergency shelters Low-cost particle sensors in HVAC Solar thermal technology Recent publications focus on atmospheric water generation , bio-polymer coated heat exchangers , and personalized environmental control systems . Scientific awards include three international/national patents for Bio-Stopper , hydrogel-based heat exchangers , and water harvesting technologies . Teaching roles: PhD Course : Aerosol and Particle Measurement Master's Course : Energy Transition and Low-Carbon Architecture (Building Physics Module) Bachelor's Course : Environmental Technical Physics Supervised PhD students: Lakhdar Hamidatou (Energetics, 40th cycle) Alberto Saija (Energetics, 40th cycle) Matteo Calo' (Energetics, 38th cycle) Hamed Rasam (Energetics, 36th cycle) Current research projects include automotive cabin air quality monitoring (2025-2026) and collaborations with SOLAR Research Group within DENERG.

• Electronics Engineering
• VLSI Design
• Digital Signal Processing
• +5 more

Stefania Perri is an Associate Professor of Electronics at the Department of Mechanical, Energy and Management Engineering (University of Calabria, Italy). She holds a PhD in Electronics Engineering from the University of Reggio Calabria and has been actively involved in research and teaching since 1996. Research Interests include: Quantum-Dot Cellular Automata (QCA) - Invented an efficient QCA adder design methodology with three theorems. Image Processing - Developed memory architectures for aerospace applications and stereovision systems on FPGA. Low-Power Circuits - Designed novel SRAM cells and validated sub-threshold logic models. High-Speed Arithmetic - Holds US Patent 7,016,932 B2 for carry propagation optimization. Scientific Contributions: Over 120 publications including 58 journal papers, 48 conference proceedings, 3 patents International Collaborations with University of Rochester (USA) and Idaho State University Awards: Best Paper Awards at CENICS 2016 and CENICS 2010 Bronze Leaf Certificate at IEEE PRIME'06 Multiple Invited Paper recognitions

MARIOROSARIO PRISTView profile

Researcher

• Artificial Intelligence
• Industrial Automation
• Machine Learning
• +4 more

Dr. MARIOROSARIO PRIST serves as a Researcher at the Department of Information Engineering within the Faculty of Engineering at Marche Polytechnic University (UNIVPM) in Ancona, Italy. His institutional affiliation is maintained through the Department of Information Engineering (quota 170) at Via Brecce Bianche, 60131 Ancona, with contact details including phone 071 220 4468 and email m.prist@staff.univpm.it. Dr. PRIST's research spans cutting-edge domains in artificial intelligence applications for industrial systems, with particular emphasis on neural network implementations, digital twin architectures, and Industry 4.0 technologies. His work demonstrates strong focus on lightweight AI frameworks for edge computing , anomaly detection in manufacturing processes , and resource optimization in production environments . The research portfolio reveals consistent innovation in adapting advanced machine learning techniques to practical industrial constraints, especially for small and medium enterprises. Analysis of his publication trends indicates a strategic shift toward implementing AI solutions on resource-constrained devices and bridging edge computing with cloud infrastructure for real-time industrial monitoring. Recent work emphasizes practical applications of Echo State Networks for process control and anomaly detection, while maintaining strong connections to additive manufacturing optimization and safety monitoring systems. His research consistently addresses the challenge of making advanced AI accessible for industrial implementation without requiring extensive computational resources. Dr. PRIST's work demonstrates significant contributions to the integration of cyber-physical systems in manufacturing environments, with particular expertise in translating theoretical AI concepts into practical industrial applications that enhance production efficiency, safety, and sustainability.

Alessandro BiondiView profile

Associate Professor

• Real-Time Systems
• Cyber-Physical Systems
• Embedded Systems
• +8 more

Alessandro Biondi serves as Associate Professor of Computer Engineering at the Scuola Superiore Sant'Anna in Pisa, Italy, where he conducts research at the Real-Time Systems (ReTiS) Laboratory. His expertise centers on real-time, safe, and secure cyber-physical systems with critical applications in automotive and railway domains. His academic credentials include: Computer Engineering degree, cum laude , University of Pisa (within excellence program) PhD in Emerging Digital Technologies (Embedded Systems curriculum), cum laude , Scuola Superiore Sant'Anna (2017) Biondi's research spans real-time systems design, operating systems, hypervisors, synchronization protocols, embedded optimization, and formal scheduling analysis. His work bridges theoretical foundations with industrial implementation, emphasizing safety and security for mission-critical infrastructure through rigorous mathematical modeling and practical system development. Recent publications (2023-2025) demonstrate concentrated advancements in real-time scheduling optimization, memory management for safety-critical systems, and adversarial defense mechanisms in vision applications. Key trends include deterministic communication protocols for AUTOSAR, end-to-end latency minimization in distributed systems, and hardware-aware security solutions for heterogeneous SoCs, reflecting strong industry-academia collaboration. His scientific contributions have earned significant recognition: ACM SIGBED Early Career Award (2019) IEEE TCCPS Early Career Award (2023) Six Best Paper Awards Best Journal Paper Award (IEEE Transactions on Industrial Informatics) EDAA Outstanding Dissertation Award (2017) Additional honors: Outstanding Paper Award, Best Presentation Award, Best Paper Nomination Biondi leads industrial research projects for automotive and railway safety-critical systems while participating in European Commission-funded initiatives. He co-founded spin-offs Accelerat (specializing in predictable cyber-physical systems) and Wriggle Solutions (acquired IP for real-time tire monitoring), demonstrating his commitment to translating research into commercial solutions. His editorial service includes Associate Editor roles for IEEE TETC, Journal of Real-Time Systems, and LITES. As a core member of the ReTiS Laboratory, Biondi collaborates within a high-impact research ecosystem focused on advancing real-time computing theory and practice. The lab maintains deep industry partnerships and drives innovation in scheduling algorithms, security protocols, and optimization techniques for next-generation embedded platforms.

• Electrochemistry
• Battery Technology
• Lithium-ion Batteries
• +3 more

Julia Ginette Nicole Amici serves as Associate Professor at the Department of Applied Science and Technology (DISAT) of Polytechnic University of Turin, where she acts as Vice Coordinator of the Academic Board for the Ph.D. programme in Materials Science and Technology and contributes to the Interdepartmental Center Ec-L - Energy Center Lab. Her research focuses on next-generation electrochemical energy storage systems with emphasis on sustainable battery technologies for automotive and stationary applications. Research Interests Prof. Amici specializes in electrochemistry and materials engineering for advanced battery systems, particularly lithium-ion, lithium-sulfur, and lithium-air technologies. Her work pioneers novel electrolyte formulations—including gel polymer, composite, and solid-state variants—alongside cathode engineering to address critical challenges in safety, longevity, and environmental impact. Current projects integrate circular economy principles through biorenewable materials (e.g., wood flour, gelatin) while targeting European Green Deal objectives for decarbonization. Research Trends Recent publications reveal a strategic shift toward computational modeling of degradation mechanisms and sustainable material integration. Key trends include biopolymer-reinforced electrolytes for lithium-oxygen batteries, sulfide-based solid-state cell optimization, and cathode blending techniques for enhanced energy/power density. These efforts consistently address thermal runaway prevention, calendar aging prediction, and waste valorization—demonstrating alignment with global electromobility and grid-storage demands. Scientific Awards Abilitazione Scientifica Nazionale alle funzioni di professore universitario di Seconda Fascia nel Settore Concorsuale 03/B2 (2020) Abilitazione Scientifica Nazionale alle funzioni di professore universitario di Prima Fascia nel Settore Concorsuale 03/B2 (2023) Advising and Grants Prof. Amici supervises four doctoral candidates: Mattia Longo (in-situ crosslinked gel polymer electrolytes), Piera Di Prima (calendar/cycling aging in Li-ion cells), Matteo Gandolfo (self-healing ionogels), and Roberto Colombo (hybrid power-energy electrodes). She directs the €2M+ ADVAGEN Horizon Europe project on solid-state batteries for electromobility and previously led the H2020 SUBLIME initiative, with new TALISSMAN funding secured through 2029. Her grant portfolio exceeds €5M in competitive EU research funding. Laboratories and Teams She operates within DISAT's Electrochemistry group, utilizing specialized facilities including the Electrochemistry Testing Laboratory (for nail penetration tests and cycling validation) and Material Synthesis Lab. Her team contributes to European initiatives BATTERY2030+ and ETIP Batteries Europe, focusing on standardization and innovation roadmaps for next-generation storage systems.

• Numerical Analysis
• Domain Decomposition
• PDE-Constrained Optimization
• +7 more

Tommaso Vanzan is a Researcher at the Department of Mathematical Sciences "GL Lagrange" (DISMA) at Politecnico di Torino . He holds a PhD from the University of Geneva (2020) under Prof. Martin J. Gander and was a postdoctoral researcher at EPFL (2020-2023) under the CSQI Chair. His research focuses on iterative methods , optimization algorithms , and uncertainty quantification for PDE-constrained problems, with applications in Stokes-Darcy coupling and manifold-based machine learning . His recent work includes multilevel quadrature for risk-averse optimization and spectral coarse spaces for substructured Schwarz methods. He has received the SWICCOMAS Prize 2021 for computational methods. He contributes to the open-source GDGMatlab library for finite element and discontinuous Galerkin methods, emphasizing educational and research usability over high-performance computing. Future developments target generalized boundary conditions in DG formulations.

Giovanni Di FrancoView profile

Professor

• Social Research Methodology
• Electoral Sociology
• Attitudes and Values of Young People
• +3 more

Giovanni Di Franco serves as Full Professor in the Department of Social and Economic Sciences at Sapienza University of Rome's Faculty of Political Science, Sociology and Communication. He directs the book series "La cassetta degli attrezzi" (Franco Angeli Milano) and holds affiliations with CIRES at Roma Tre University and Bonanno publishing house's scientific committee. His research centers on Social Research Methodology , emphasizing data collection/analysis techniques, historical evolution of methods, qualitative-quantitative integration, and micro-macro data synthesis. Specialized in Electoral Sociology , he examines polling methodologies in digital contexts, while his work on Youth Attitudes explores values during economic crises. Additional expertise spans Europeanization Processes , Social Representations of eating disorders, and Social Cohesion frameworks. Recent publications reveal methodological innovation through machine learning applications and critical analysis of intergenerational inequality, reflecting his commitment to advancing sociological research in contemporary digital landscapes. Professor Di Franco has led significant projects including immigrant family-school interactions (2009-10), food education integration (2009), Campanian legality culture (2008), and European identity formation (2007-09), alongside European Commission-funded e-inclusion research. He supervises doctoral candidates through Sapienza's PhD program in Sociology and Applied Social Sciences. He contributes to interdisciplinary research through LARFAD laboratory and CIRES center, developing methodological tools for social analysis while directing academic publications that shape methodological discourse in Italian sociology.

Nicoletta NocetiView profile

Associate Professor

• Computer Science
• Robotics
• Machine Learning
• +7 more

Nicoletta Noceti is an Associate Professor at the Department of Computer Science, Bioengineering, Robotics and Systems Engineering (DIBRIS) of the University of Genoa. Her academic roles include teaching courses such as Computer Vision, Deep Learning, and Machine Learning across undergraduate and master's programs in Robotics Engineering and Computer Science. She also contributes to innovative education initiatives like the 'Smart rogaining' model for computer science orientation. Her research focuses on interdisciplinary areas spanning computer vision, human-centered artificial intelligence, and robotics. Key themes include human motion analysis, causal discovery, and the application of AI in healthcare and social interaction. Recent work emphasizes disentangled representations for microscopy images, scene-unbiased action recognition, and understanding engagement dynamics in virtual teams of older adults. She also explores uncertainty-aware systems for head pose estimation and kinematic primitives in action similarity judgments. Her research frequently intersects with robotics, cognitive science, and biomedical engineering, addressing challenges such as causal inference in nonlinear models and embodied interaction design for robots. These efforts aim to bridge computational methods with human perceptual and motor systems, with applications in assistive technologies and social robotics.

Marco RianiView profile

Professor

• Robust Statistics
• Regression Analysis
• Time Series Analysis
• +5 more

Marco Riani is Full Professor of Statistics at the Department of Economic and Business Sciences, Faculty of Economics, University of Parma since 2006. He directs the Interdepartmental Center Ro.S.A. (Robust Statistics Academy) and has held academic positions including Post Doctoral Fellow (1996-1998), Lecturer (1998-1999), and Associate Professor (1999-2006) at the same institution. Education: Bachelor of Science in Economics (cum laude), University of Parma (1986-1990) PhD in Statistics, University of Florence (1992-1995) His research centers on robust statistics with methodological focus on robust regression , time series , and multivariate analysis . Applied work spans risk management , quality evaluation , international trade monitoring , and medical statistics (neonatal health parameters). He pioneers outlier detection without arbitrary thresholds and robust machine learning. Recent publications highlight robust transformations for regression, explainable AI, and applications in environmental/medical fields. Key trends include automated fraud detection in trade data, soil moisture estimation through time series, and biomarker analysis for birth anomalies. Scientific awards: Best Italian PhD thesis in Statistics (1997) Best contribution at MATLAB expo 2016 (Milan) As advisor, he has supervised five PhD theses and over 100 degree theses. His grant leadership includes Horizon 2020 PrimeFish (2014-2019) and multiple Italian Ministry projects on robust methods. External expertise spans EU Automated Monitoring Tool projects (AMT3-AMT5) for trade fraud detection. Principal Investigator: 11 national/EU projects (2000-2019) Steering roles: ICORS, SIS CLADAG, Ro.S.A. center He co-developed the FSDA toolbox (MATLAB/R) with the European Commission, enabling robust multivariate analysis for institutions like the Joint Research Centre. The Ro.S.A. center drives his collaborative work on outlier detection and data mining.