Find Academic Supervisors

• Civil Engineering
• Structural Engineering
• Machine Learning in Structural Engineering
• +4 more

Giuseppe Carlo Marano is a Full Professor at the Department of Structural, Building and Geotechnical Engineering at Politecnico di Torino. He is also a component of the SISCON Interdepartmental Center for Infrastructure Safety. With expertise in civil and structural engineering, his work focuses on machine learning applications, seismic risk reduction, and sustainable structural optimization. Education Graduated cum laude in Structural Engineering from Polytechnic University of Bari PhD in Structural Engineering from University of Florence (2000) Research Interests Marano's research spans structural optimization, seismic engineering, and machine learning applications in civil infrastructure. He develops advanced computational models for: Seismic retrofitting of existing structures Optimization of steel and masonry structures Recycled materials in concrete production AI-driven structural health monitoring Multiobjective design methodologies Publication Trends His recent work emphasizes: Machine learning for concrete mix design and damage assessment Optimization of gridshells and arch structures Seismic isolation systems and vibration control Sustainable construction practices with recycled materials Multiobjective genetic algorithms for structural design Scientific Recognitions National Scientific Qualification - First Band (2013, MIUR Italy) Certificate of Appreciation for Outstanding Lecture (2012, China) Academic Contributions As an educator, he teaches: Consolidamento Strutturale (Structural Consolidation) Dinamica delle Vibrazioni Random (Random Vibration Dynamics) Progettazione Generativa (Generative Design) He also leads Challenge@PoliTo initiatives and contributes to national infrastructure safety regulations. Research Projects ADAPT4CE - Adaptive Digital Systems for Circular Economy (2025-2028) AI-ENVISERS - AI for Seismic Retrofit Environmental Impact (2023-2025) ADDOPTML - Additive Manufacturing Optimization (2021-2025)

• Fluid Mechanics
• Multiphase Flow Modeling
• Numerical Simulation
• +3 more

Marcus Herrmann is a Professor of Aerospace and Mechanical Engineering at Arizona State University's School for Engineering of Matter, Transport and Energy. He is also affiliated with the Center for Negative Carbon Emissions. His research focuses on fluid mechanics, multiphase flows, atomization processes, and numerical methods for discontinuous interfaces. Herrmann holds a PhD in Mechanical Engineering from RWTH Aachen University (2001) and a Diplom (1995). His career includes a postdoctoral fellowship at Stanford University's Center for Turbulence Research (CTR) and a visiting scientist position at the University of Technology Eindhoven, Netherlands. He has secured major grants from NASA, NSF, and industry partners like Honeywell, focusing on atomization modeling, supersonic crossflows, and turbulence simulations. Research interests span computational fluid dynamics, multiphase flow simulation, and LES/DNS methodologies. His recent work emphasizes high-fidelity numerical techniques for particle-resolved simulations and phase interface dynamics. Teaching includes courses like MAE 561 (Computational Fluid Dynamics) and MAE 384 (Advanced Math Methods for Engineers). He actively advises students through research and dissertation roles. Notable projects include modeling wax deposition in pipelines and developing novel approaches for interface dynamics in turbulent flows. His work bridges fundamental fluid mechanics with industrial applications like combustion systems and porous media modeling.

• Battery simulation
• Cyber physical system
• Design simulation
• +12 more

Sara Vinco is an Associate Professor at the Department of Control and Computer Engineering (DAUIN), Politecnico di Torino, Italy. She specializes in battery simulation, digital twins, and energy-efficient design automation for heterogeneous embedded systems, aligning with Industrial and Information Engineering (Area 0009) and ERC sectors including Computer Architecture and Machine Learning . Her research focuses on advancing cyber-physical systems through simulation frameworks like SystemC-AMS, enabling holistic modeling of analog, digital, and thermal domains. Key projects include data-driven digital twins for EV batteries and low-area digital circuits in industrial/medical applications, supported by commercial contracts such as C-based virtual prototyping. Her recent publications (2022-2023) emphasize machine learning for battery SOH/SOC estimation , energy monitoring in production lines , and multi-domain fault modeling . These works span journals like IEEE Transactions and conferences including DATE and ISLPED. Awarded the FFABR 2017 grant and IEEE FDL Best Paper Award 2011 , she also chairs editorial boards for IEEE Transactions on CAD and DATE Conference. She supervises PhD students Giovanni Pollo (Digital Circuits) and Khaled Alamin (EV Battery Twins), reflecting her leadership in smart systems design.

• Multi-criteria decision analysis
• Operations research
• Fuzzy sets and fuzzy numbers
• +7 more

Matteo Brunelli is Associate Professor of “Mathematical Methods of Economics and Actuarial and Financial Sciences” at the University of Trento , Department of Industrial Engineering, and Adjunct Professor (docent) at Lappeenranta University of Technology , Finland. He is nationally habilitated as Full Professor in Italy and has held long-term visiting positions at Berkeley, Turku, Auckland, JAIST and Binghamton. Education: Ph.D. (Doctor of Science) in Information Technologies, Åbo Akademi University, Finland, 2011 – graded Eximia cum laude approbatur M.Sc. in Economics, University of Trento, 2007 – grade 110/110 cum laude B.Sc. in Economics, University of Trento, 2005 Research focus: Brunelli’s work sits at the intersection of multi-criteria decision analysis , operations research and computational optimisation . He develops axiomatic foundations and algorithms for pairwise comparison matrices , consistency indices , the best-worst method and fuzzy preference relations , and applies them to energy planning, sustainable inventory, maintenance scheduling, 3-D printer selection, and blockchain governance. His 2023-2025 articles reveal intensified interest in uncertainty modelling (Dempster-Shafer theory), bi-objective optimisation of inventory and maintenance, and group decision protocols that integrate probabilistic or active-learning components, demonstrating both methodological depth and practical relevance. Scientific awards & grants: Academy of Finland Postdoctoral Researcher grant (€254 670, 2014-2017) Claudio Dematté Research Grant (€19 000, 2008) Teacher of the Year Award, Aalto University (2013 – both Spring & Autumn semesters) Bernard Roy Award 2021 for outstanding contribution to Multiple Criteria Decision Aiding (under-40 category) Supervision & funding: While specific doctoral students are not listed, Brunelli currently supervises graduate theses at Trento and has continuously held competitive national grants. His Academy of Finland project “Consistency of valued preference relations for decision analytics methods” financed three years of full-time research and international collaboration. Editorial & community roles: He serves on the editorial boards of International Journal of General Systems and Mathematical and Computational Applications , and acts as area editor for Journal of Multi-Criteria Decision Analysis , positioning him among the key gatekeepers of the MCDA community.

Maurizio MUZZUPAPPAView profile

Professor

• Industrial Engineering Design
• Augmented Reality (AR) Applications
• Product Development Methodologies
• +5 more

Maurizio MUZZUPAPPA is a Full Professor at the Department of Mechanical, Energy and Management Engineering (University of Calabria) since 2018. His roles include Rector's Delegate for Technology Transfer, Academic Delegate for Education at DIMEG, and Head of the Physical Prototyping Laboratory at the MaTeRiA Center (UNICAL-CNISM collaboration). He supervises the Unical Racing Team in Formula SAE competitions and co-founded three university spin-offs: 3DResearch, Tech4Sea, and Q-BOT. As Scientific Director of projects like TECH4YOU (climate change adaptation technologies) and GROWN IN THE BLUE (Mediterranean reef conservation), he integrates research in industrial design, augmented reality, and underwater cultural heritage. He has authored over 200 publications (h-index 27) and holds 10 patents. His teaching includes Tools and Methods for Industrial Design and Formula SAE LAB . His research focuses on: Industrial design methodologies with parametric and sustainable approaches 3D prototyping and additive manufacturing User-Centered Design for product ergonomics Virtual/Augmented Reality applications in engineering and cultural heritage Underwater robotics and artifact restoration Recent publications highlight trends in AR for industrial maintenance, generative design tools, and mechatronic solutions for underwater heritage. He has supervised over 300 theses and 10 Ph.D. students while leading technology transfer initiatives.

• Digital circuits and systems
• Electronic systems
• Modeling
• +7 more

Alberto Macii is a Full Professor in the Department of Control and Computer Science (DAUIN) at Polytechnic University of Turin. He is also a member of the Interdepartmental Center IAM@PoliTo - Integrated Additive Manufacturing and serves on two colleges: College of Computer, Film and Mechatronics Engineering and College of Mechanical, Aerospace and Automotive Engineering. His research interests include: Digital circuits and systems Electronic systems, modeling, and simulation Energy-efficient circuits and systems Energy management and battery systems Embedded systems and cyber-physical systems Low energy building technologies His work aligns with several Sustainable Development Goals including affordable and clean energy (Goal 7), industry innovation and infrastructure (Goal 9), and sustainable cities and communities (Goal 11). His publication record shows a consistent focus on energy efficiency in electronic systems spanning over two decades, with particular emphasis on battery modeling and power management. Recent work has expanded into environmental applications with transformer neural networks for flood forecasting, demonstrating the evolution of his research into new application domains while maintaining core expertise in energy optimization. His scientific awards include: Best paper award ACM/IEEE Great Lakes Symposium on VLSI (2008) IEEE Fellow (2007-) Senior Member IEEE He has served as Editor-in-Chief for the Journal of Embedded Computing (2005) and as Program Chair for EUC2005: Embedded & Ubiquitous Computing. Professor Macii has advised PhD students including Alberto Bocca (2019-2023) whose thesis focused on compact modeling techniques for energy analysis and optimization of complex systems. He has led numerous research projects including CANP (2018-2020), R3-PowerUP (2017-2021), SERENA (2017-2020), AMable (2017-2021), and STAMP (2016-2019), demonstrating sustained research leadership across multiple funding mechanisms. He is active in the EDA - Electronic Design Automation research group and LAB 4 research laboratory at DAUIN, with research spanning VLSI-CAD, Smart City technologies, and Industry 4.0 applications. His work bridges theoretical computer engineering with practical applications in energy conservation across multiple domains.

• Open Innovation
• Technology Transfer
• Food Industry Innovation
• +4 more

Barbara Bigliardi is an Associate Professor at the Department of Engineering and Architecture, University of Parma, with national scientific qualification for full professor in Economic-Management Engineering (SSD ING-IND/35). She serves as President of the Management Engineering Program at University of Parma and Director of Bachelor's/Master's programs at University of San Marino, co-leading double-degree initiatives between the two institutions. Over 100 publications (57 SCOPUS-indexed) with H-index=20 Editorial roles: Cambridge Scholars Publishing (2019), MDPI Sustainability, Sci, European Journal of Innovation Management Key research areas: Open Innovation, Technology Transfer, Food Industry Innovation, Industry 4.0, Supply Chain Sustainability Recent Publications (2024-2025) demonstrate leadership in: Industry 4.0 integration with circular economy AI applications in public administration and healthcare Digitalization of food supply chains Green startup resource orchestration Simulation-based optimization in remanufacturing Sustainable additive manufacturing Scientific Recognition : 2005 Emerald Highly Commended Award 2013 Most Cited Paper in Trends in Food Science & Technology 2019 Highly Cited Paper in Review of Policy Research Research Leadership includes: National Observatory on Start-ups (President since 2021) National Observatory on Reputation (Vice President since 2019) INAIL-funded mobile risk assessment systems (2018-2020) INAF space technology transfer projects (2018-present) Academic Contributions : Supervised over 300 theses Deputy Coordinator of Industrial Engineering Doctoral Program Director of Management Engineering Programs (Parma & San Marino) Founder of academic spin-offs: Sistemi per il marketing di contenuto S.r.l. (2016-present), Univenture SrL (2006-2010)

• Supply Chain Management
• Logistics
• Sustainability in Global Supply Chains
• +4 more

Lorenzo Bruno Prataviera is a Tenure Track Researcher (Ricercatore) in the Department of Management at the University of Verona since October 2024. Previously, he served as Senior Lecturer in Logistics and Supply Chain Management at Cranfield School of Management (until September 2024), where he also acted as Deputy Director of the Master's program in Logistics and Supply Chain Management. He holds a PhD in Management Engineering from Politecnico di Milano (2020) and was a Visiting PhD Scholar at Lund University’s Department of Logistics in Sweden. His research focuses on global supply chain design, sustainability, resilience, and the interplay between logistics and legal/tax frameworks. He has published in top-tier journals like Journal of Business Logistics (ABS 3), Supply Chain Management: An International Journal (ABS 3), and Business Strategy and the Environment (ABS 3). He leads the SHIELD project (2024–present), exploring digital advancements for sustainable and human-centric logistics. His work emphasizes circular economy principles, resilience strategies, and supply chain finance. He has also earned the Fellow of the Higher Education Academy (FHEA) qualification in 2023, reflecting his commitment to educational excellence. Teaching: He teaches modules on supply chain design, logistics strategy, and qualitative research methods at the University of Verona’s Master’s programs in Supply Chain Management and Marketing/Corporate Communication. Third Mission: Engaged in public engagement and professional training programs, including initiatives related to supply chain sustainability and resilience. Research Groups: Part of the Logistics and Supply Chain Management group, which investigates innovative strategies for sustainability, circular economy, and resilience through interdisciplinary approaches. His research bridges academic theory and industry practice, addressing challenges such as tax optimization in global networks, post-pandemic resilience, and green logistics adoption. He collaborates with international institutions and maintains a strong focus on real-world applications of supply chain solutions.

• Management Science
• Family Business
• Strategic Management
• +4 more

Salvatore Sciascia is a Full Professor of Business Administration at Università Carlo Cattaneo - LIUC since 2018. He serves as Rector’s Delegate for Research (since 2019) and co-directs the FAmily BUsiness Lab (since 2020). He holds additional roles as a contract professor at Lucerne University of Applied Sciences (since 2019) and an affiliated professor at Jönköping International Business School’s CeFEO (since 2021). His academic journey began in 2000 as a Contract Professor at LIUC, followed by a Ph.D. in 2004, which earned publication recognition. Sciascia has held teaching and research positions across Italian and European institutions, including Bocconi, Cattolica-Milan, and Grenoble. His research focuses on family business dynamics, strategic management, entrepreneurship, and internationalization. He has published in top journals like Entrepreneurship Theory & Practice and Family Business Review . Sciascia’s editorial leadership includes co-editing the Journal of Management & Governance and serving on editorial boards of four other journals. Education: Ph.D. in Business Administration (LIUC, 2004) Research Interests: Family Business Governance, Strategic Management, Internationalization Strategies, Innovation in Family Enterprises, Socioemotional Wealth, and Gender Diversity in Leadership. His work bridges theoretical frameworks with practical insights into family firm sustainability and performance. Awards & Honors: Schulze Publication Award (2023) Research Excellence Award (LIUC, 2019) Top Cited Articles in Strategic Entrepreneurship Journal (2021–2022) Multiple Best Paper Awards at IFERA and EURAM Conferences Advising & Grants: Over 20 years of advisory work in strategic management and family business. Secured grants, e.g., Spanish Ministry of Economy (2016). Active in mentoring through academic networks like SIDREA and IFERA. Labs & Teams: Co-founder of the FAmily BUsiness Lab at LIUC, fostering interdisciplinary research on family enterprise challenges and innovations.

• Management
• Sustainable Supply Chain Management
• Digital Transformation
• +3 more

Andrea Appolloni is an Associate Professor at the Department of Management and Law, University of Rome Tor Vergata. His academic career focuses on Management with emphasis on Sustainable Supply Chain Management , Digital Transformation , and Circular Economy . His research explores the intersection of technological innovation and sustainability, particularly through topics like AI in Logistics , Green Procurement , and Policy Optimization . Publications span both theoretical frameworks and empirical studies in China, Italy, and Malaysia, with a strong focus on environmental impact and organizational performance. Recent work includes digital twin applications for human-AI collaboration, blockchain integration in sustainable supply chains, and analyzing barriers to circular economy adoption. His 15 most recent articles (2025-2022) demonstrate a trend toward combining Artificial Intelligence , Operations Management , and Environmental Governance .

Michele GermaniView profile

Professor

• Industrial Engineering
• Ergonomics
• Sustainability
• +7 more

Prof. Michele Germani is a Full Professor at the Polytechnic University of Marche, Department of Industrial Engineering and Mathematical Sciences. His research focuses on ergonomics, sustainability, and human-centered design, with particular emphasis on industrial automation, wearable technologies, and circular economy principles. He leads projects on ergonomic risk assessment, environmental impact modeling, and smart manufacturing systems. Academic Background: Holds a position in the Faculty of Engineering, contributing to both teaching and research. His work integrates machine learning, sensor-based systems, and virtual reality to address challenges in manufacturing, healthcare, and sustainable design. Research Interests: Prof. Germani explores topics such as design for disassembly, eco-design tools, and the application of advanced technologies (e.g., exoskeletons, cobots) to enhance workplace safety and efficiency. His studies often bridge engineering and environmental science, aiming to reduce carbon footprints through innovative design methodologies. Key Projects: Development of decision support systems for fall risk detection, sensor-based ergonomic evaluation tools, and frameworks for circular economy implementation. He also investigates the impact of Industry 4.0 technologies on workforce dynamics and operator training via mixed reality simulations. Grants & Collaborations: Engaged in interdisciplinary collaborations focusing on sustainable manufacturing, healthcare technology, and smart systems. His research has led to tools like Durabot for durability analysis and Greenbuild for green building design. Labs & Teams: Oversees labs developing eco-design strategies, human-robot collaboration systems, and ergonomic assessment protocols, with a focus on real-world industrial applications.

• Digital Circuits and Systems
• Energy Efficiency
• Smart Cities
• +13 more

Enrico Macii is a Full Professor at the Politecnico di Torino, affiliated with the Interuniversity Department of Regional and Urban Studies and Planning (DIST) and the Department of Control and Computer Engineering (DAUIN). He leads the Electronic Design Automation (EDA) research group and holds key roles as Scientific Advisor for the Politecnico-STMicroelectronics partnership and Scientific Contact for the European Chips Joint Undertaking. Research Interests: His work spans digital circuits and systems, energy efficiency, smart cities, Industry 4.0, and smart manufacturing. He focuses on embedded and cyber-physical systems, low-power design, neuromorphic computing, AIoT, and sustainable urban development. Recent Publications: His recent research demonstrates strong trends in edge AI, neuromorphic computing, and smart energy systems. Articles highlight innovations in low-power hardware acceleration, federated learning, physics-informed AI, and digital twin applications for urban and industrial systems. There is a clear emphasis on deploying AI efficiently on constrained devices and integrating physical models with machine learning. J. William Fullbright Fellowship (1993) Best paper award IEEE European Design Automation Conference (1996) Best paper award ACM/IEEE Great Lakes Symposium on VLSI (2008) DAC Service Award (2014) IEEE Fellow (2006) DATE Fellow (2014) Advising and Grants: He has supervised over 25 PhD students in computer engineering, AI, and urban systems. His research is funded by major EU programs (Horizon 2020, PNRR, KDT JU), national (PRIN, FAR), and regional grants, as well as industrial contracts with STMicroelectronics, Michelin, and Cefriel. He leads numerous high-impact projects in smart manufacturing, energy efficiency, and digital twins. Labs and Teams: He is a core member of the EDA Group, an interdepartmental research team at Politecnico di Torino focusing on VLSI-CAD, bioinformatics, smart cities, and Industry 4.0. He also contributes to IAM@PoliTo (Integrated Additive Manufacturing) and leads multiple EU and national research consortia.

Annelot NijkoopsView profile

Researcher

• Nanotechnology
• Biomedical Engineering
• Sensors Technology
• +3 more

Annelot Nijkoops is a Postdoctoral Researcher and Research Assistant at the Faculty of Science and Technology, Free University of Bozen-Bolzano (UNIBZ), Italy. She holds an M.Sc. in Food Technology (Wageningen University, Netherlands) and is completing her Ph.D. in Food Engineering and Biotechnology at UNIBZ. Her research focuses on designing electronics from nature-derived materials, particularly in nanotechnology-driven sensors for biomedical and environmental applications. She has conducted collaborative research at Surrey University (UK) on bio-pigments for artificial retinas. Key areas of expertise include carbon nanotube-based sensors, flexible electronics, and additive manufacturing techniques. Her work addresses challenges in ammonia gas sensing, temperature monitoring, and sensor integration into medical devices. She has contributed to advancements in 3D-printed antennas and auxetic structures for pressure sensors. Publications highlight innovations in flexible sensor fabrication, chemiresistive sensing mechanisms, and biomedical applications of nanomaterials. Her interdisciplinary research bridges materials science, engineering, and healthcare, with applications ranging from aerospace to wearable medical technologies.

• Materials Science
• Glass Ceramics
• Hydrogen Technology
• +7 more

Federico Smeacetto is a Full Professor of Materials Science and Technology at the Polytechnic University of Turin, Italy, where he is affiliated with the Department of Applied Science and Technology (DISAT) within the School of Engineering. He serves as the principal investigator for multiple EU-funded research projects focused on hydrogen technologies, solid oxide cells, and sustainable energy solutions. Professor Smeacetto's research focuses on advanced materials for energy applications, particularly glass and ceramics as joining and coating materials. His work spans several critical areas for the energy transition: Glass and glass-ceramics for solid oxide fuel cells and electrolysis cells Joining technologies for high-temperature energy devices Materials for hydrogen production and storage Recycling of end-of-life energy conversion devices 3D printing of advanced ceramic materials His recent publications demonstrate a strong focus on developing sustainable solutions for the energy transition, with particular emphasis on proton ceramic electrolysis cells, solid oxide fuel cells, and recycling technologies. The research combines materials development, manufacturing innovation (particularly 3D printing), and comprehensive performance assessment to address critical challenges in clean energy technologies. Professor Smeacetto has received notable recognition including the Abilitazione Scientifica Nazionale as Full Professor of Materials Science and Technology and The Acers Global Ambassador award. Abilitazione Scientifica Nazionale - Professore di Seconda Fascia - Settore 09/D1 (2013) National Scientific Habilitation – Full Professor of Materials Science and Technology (2019) The Acers Global Ambassador (2020) He actively supervises PhD students and leads multiple research projects, including EU-funded initiatives like H2START, H2SHIFT, ECOLEFINS, Pressuriz3D, 24_7 ZEN, HyP3D, and SOLSTICE. Professor Smeacetto also chairs advanced courses on glass and ceramics for PhD students and teaches undergraduate and graduate courses on materials for energy applications. As a member of the GLANCE research group at Politecnico di Torino, Professor Smeacetto contributes to the development of custom glasses, glass-ceramics, and composites for various applications including energy conversion and storage, joining technologies, and sustainable materials solutions.

• Structural Health Monitoring (SHM)
• Smart / self-sensing cementitious composites
• Bridge engineering and life-cycle assessment
• +6 more

Filippo Ubertini is Professor of Civil and Environmental Engineering at the University of Perugia, Italy, where he coordinates the International Doctoral Programme in Civil & Environmental Engineering and represents the University inside the FABRE national bridge-research consortium. He leads the Structural Health Monitoring Laboratory ( SHM-Lab ) and is the primary contact for assignments linked to smart-infrastructure research. Education: While explicit degrees are not listed in the supplied text, his role as programme coordinator and full professor implies completion of a PhD and habilitation in Civil Engineering. Research focus: Ubertini’s work sits at the intersection of smart materials and data-driven infrastructure management . He develops self-sensing cementitious composites doped with carbon micro-fibers or graphene nano-platelets that can measure strain, cracking and moisture in real time, turning whole bridges and buildings into distributed sensors. Complementary research threads include low-cost acquisition electronics, UAV & InSAR remote sensing, Bayesian & adversarial machine-learning algorithms for damage detection, digital twins and life-cycle cost analysis of bridge networks. Publication trends (2024-2025): Roughly 30 peer-reviewed items per year concentrate on (i) AI-enhanced operational modal analysis and transfer-learning damage classification across bridge populations, (ii) experimental characterisation of 3D-printed and cast self-sensing concrete, (iii) full-scale validation on curved box-girder, masonry and railway bridges, and (iv) integration of satellite radar data with numerical collapse simulations to predict residual service life of landslide-affected viaducts. Scientific awards & recognition: No specific prizes or fellowships are mentioned in the provided text. Doctoral supervision & grants: The text does not enumerate individual students or funded projects; however, his coordination of an international PhD programme and numerous experimental campaigns imply sizeable supervisory and funding responsibilities. Laboratory & team: Ubertini heads the SHM-Lab at UniPg, maintaining facilities for material mixing, 3D concrete printing, electrical impedance tomography, UAV photogrammetry, and large-scale structural testing, while collaborating with the European FABRE consortium and multiple EU projects.