Find Academic Supervisors

• Food Microbiology
• Microbial Biotechnology
• Food Biotechnology
• +4 more

Elisa Salvetti is an Associate Professor in the Department of Biotechnology at the University of Verona. Her academic sector is Agricultural, Food and Environmental Microbiology (AGRI-08/A), with research interests in Microbial Biotechnology (ERC LS9_4), Food Biotechnology (LS9_5), and Phylogenetics (LS8_8). She teaches courses in Food Microbiology, Microbial Ecology, and Applied Microbiology for food innovation across undergraduate and graduate programs, including Bachelors' and Master's degrees in Innovation and Sustainability in Food Production and Viticultural/Oenological Sciences. Her research focuses on molecular mechanisms of food-relevant microorganisms, including probiotic and spoilage organisms, leveraging genomic and biotechnological approaches. The Food Microbiology Laboratory under her leadership explores microbial interactions in food systems and their industrial applications. She actively contributes to academic governance, serving on the PhD Board of Smart Agrifood Sciences and teaching committees. Her work bridges fundamental research and applied biotechnology, addressing topics like waste valorization, microbial community dynamics, and functional food development. Collaborations with spin-off companies like Microbion S.r.l. and Genartis S.r.l. highlight her role in translating research into industry solutions.

• Mechanical Engineering
• Industrial Systems
• Production Systems Optimization
• +5 more

Qian ZHAO is a Researcher at the Department of Engineering Sciences and Methods, University of Modena and Reggio Emilia. Their research focuses on industrial systems optimization, decision-making under uncertainty, logistics management, and educational technology. They teach courses such as 'Advanced Design and Management of Automated Plants' and 'Logistics and Production Management', emphasizing simulation-based learning and industrial case studies. Research interests include consensus reaching models, failure mode analysis, robust multicriteria decision methods, and ergonomic risk assessment through machine learning. Teaching methodologies involve AutoMod simulation software, Python, and collaborative learning platforms like Microsoft Teams. Publications span applications in supply chain procurement, risk analysis, and educational frameworks, reflecting expertise in operations research and systems engineering.

Laura Ingrid Maria ColmView profile

Associate Professor

• B2B Marketing
• Industrial Marketing
• Services Marketing
• +7 more

Laura Ingrid Maria Colm is an Associate Professor of Marketing and Sales at SDA Bocconi School of Management, part of Bocconi University. She leads the Core Team of Mobius Lab on sustainable mobility and contributes to the Commercial Excellence Lab (CEL). Her research focuses on B2B marketing, services innovation, e-commerce strategies, and omnichannel integration. She holds a Ph.D. from the University of Stuttgart and M.Sc./B.Sc. degrees from Bocconi University. Education: Ph.D. in Marketing Management, University of Stuttgart (highest honors) M.Sc. in Marketing Management, Università Bocconi B.Sc. in Business Administration, Università Bocconi Research Interests: Laura explores cutting-edge topics like Everything-as-a-Service business models, solution selling strategies, and the intersection of marketing with emerging technologies such as the metaverse. She emphasizes user-centric approaches in mobility and sustainable practices, bridging theoretical frameworks with practical commercial applications. Publications: Her work appears in top-tier journals like Journal of Marketing and Journal of Service Research , alongside books like Forgiare il futuro (2021) and recent contributions to Blockchain, Metaverse, and Digital Payments (2024). Her latest research examines Gen Z mobility preferences and social trade marketing paradigms. Awards & Recognition: 2024 Robert Lusch Early Career Research Award (AMA) 2022 Finalist for AMA SERVSIG Best Dissertation Award 2021 Bocconi University Teaching Award Teaching & Leadership: Teaches courses on digital marketing, e-commerce, and qualitative research methods. Serves as editorial board member for Journal of Business Research and reviewer for high-impact journals. Oversees interdisciplinary labs addressing mobility innovation and commercial excellence. Labs & Initiatives: Mobius Lab (user-centric sustainable mobility) and Commercial Excellence Lab (strategic sales insights). Collaborates on projects blending academic rigor with industry applications, such as metaverse-driven marketing strategies and omnichannel retail frameworks.

• Food Chemistry
• Analytical Chemistry
• Sensory Analysis
• +5 more

Eugenio Aprea is an Associate Professor of Food Chemistry at the University of Trento, affiliated with the Department of Cellular, Computational and Integrative Biology (CIBIO) and the Agriculture, Food, and Environment Center-C3A. He holds a PhD in Natural Sciences (Gas-Phase Ion Physics) from the University of Innsbruck and a Bachelor's in Food Science and Technology from the University of Naples 'Federico II'. His research focuses on food chemistry, volatile compounds, sensory perception, analytical chemistry, and data analysis. Key areas include studying aroma release in foods (e.g., olive oil, hazelnuts), optimizing food processing techniques, and reducing food waste through advanced analytical methods like GC-IMS and PTR-ToF-MS. Academically, Aprea teaches courses on food chemistry and microbiology for culinary training programs and has contributed to projects like the EU-funded SISTERS initiative targeting food loss reduction. He actively serves on editorial boards of journals such as *Frontiers in Nutrition and Food Science*, *Molecules*, and *Beverages*, emphasizing his role in advancing food science communication. His work bridges fundamental research and applied solutions, including developing sustainable feed from agricultural by-products and assessing consumer acceptance of novel foods (e.g., insect-based proteins). Collaborations with industry and institutions ensure practical applications of his findings, particularly in improving food quality and safety.

Carla ZarbàView profile

Researcher

• Agricultural Economics
• Circular Economy
• Novel Foods
• +5 more

Dr. Carla Zarbà is a Fixed-Term Researcher in Rural Economics and Valuation at the University of Catania's Department of Agriculture, Food and Environment (Di3A), currently contributing to the ONFOODS project focusing on global food sustainability. Her academic journey includes a Master's in Law (2009), a PhD in Agri-food Economics (2013), and an MBA from LUISS Business School (2015). She has held research positions at institutions including the European Commission and University of Florida, with expertise spanning EU policy analysis and SME competitiveness. Her research centers on agricultural economics , circular economy transition , and novel food systems , with emphasis on sustainability frameworks, regulatory impacts, and agri-food market dynamics. She investigates consumer behavior, supply chain resilience, and policy-driven innovations in Mediterranean agriculture. Recent publications (2019-2023) demonstrate a strong focus on circular economy implementation, COVID-19 impacts on agri-food systems, and regulatory challenges for novel foods like algae. Methodologies include network analysis, market surveys, and policy evaluation, frequently addressing EU-Italy contextual dynamics. Awards & Honors: Best Speaker 2019 (SGEM Vienna Congress) Grants & Projects: Principal investigator for PRIN 2017 (circular economy in agri-food systems), P.O. FESR Sicilia (dairy farm innovations), and ONFOODS. Manages collaborations with EU institutions and industry stakeholders. Professional Affiliations: Member of European Association of Agricultural Economists (EAAE) and Italian Society of Agri-Food Economics (SIEA). Regularly chairs academic sessions and presents at international conferences.

Raffaella BernardiView profile

Associate Professor

• Natural Language Processing
• Computational Linguistics
• Visually Grounded Conversational Models
• +9 more

Raffaella Bernardi is an Associate Professor at the Faculty of Engineering, Free University of Bozen-Bolzano, Italy. She previously held academic positions at the University of Trento and the Free University of Bozen-Bolzano. Her research is centered on Computational Linguistics, with a focus on the interplay between language and reasoning in multimodal and conversational contexts. Research Interests: Her primary research areas include Natural Language Processing, Visually Grounded Conversational Models, Large Language Models (LLMs), Vision-Language Models (VLMs), and the cognitive abilities of AI systems. She investigates how language and reasoning interact, particularly in dialogue and multimodal settings. The analysis of her 15 most recent publications reveals a strong emphasis on multimodal reasoning, human-AI interaction, and the cognitive evaluation of language models. Her work frequently explores how AI systems understand and generate language in context, particularly in grounded and interactive environments. There is a consistent trend toward benchmarking, evaluation, and understanding the reasoning capabilities of modern LLMs and VLMs. Fellow of ELLIS (European Laboratory for Learning and Intelligent Systems) Best Paper Award, INLG 2023 Best Paper Nomination, Clic-it 2020 Best Paper Nomination, NL4AI 2020 Raffaella Bernardi has supervised numerous PhD and Master’s students, including Leonardo Bertolazzi, Claudio Greco, Alberto Testoni, and Sandro Pezzelle. She has been involved in significant research projects, often funded by industrial partners like SAP and EU initiatives. She has also been active in organizing scientific events and serving in leadership roles within the ACL and AILC communities. She leads a research group focused on multimodal language understanding and grounded interaction. Her team has developed benchmarks such as BD2BB (Be Different to Be Better) to evaluate the complementarity of language and vision in AI systems.

• Multimedia Data Management
• Collaborative Filtering
• Similarity Search
• +5 more

Ilaria Bartolini is a Full Professor at the University of Bologna's Department of Computer Science and Engineering, specializing in multimedia data management and preference learning. She coordinates the MultiMedia Database Group and leads the PhD Programme in Computer Science and Engineering. Her research focuses on similarity search, collaborative filtering, and applications in cultural heritage and health domains. Education: Laurea in Computer Science (1997), University of Bologna PhD in Electronic and Computer Science Engineering (2002), University of Bologna Research Interests: Her work spans multimedia systems, data curation, and AI-driven solutions for healthcare and cultural heritage. She collaborates with institutions like HKUST, NJIT, and the European Processor Initiative, leading projects such as DETECt (EU H2020) and S-PIC4CHU (PRIN 2022). Grants & Projects: EU H2020 DETECt (2018–present): Transcultural crime narrative analysis PRIN 2022 S-PIC4CHU (2024–present): Data science integrity GenData 2020, WISDOM, COOPERARE (Italian national projects) Teaching: Leads courses on web applications, multimedia data management, and digital humanities at the undergraduate and graduate levels. Her educational framework emphasizes active e-learning through tools like ALDO. Labs & Teams: Directs the MultiMedia Database Group, fostering interdisciplinary research in data science and AI applications.

GIANLUCA CAMPANAView profile

Professor

• Visual Neuroscience
• Perceptual Learning
• Brain Stimulation Techniques
• +3 more

Gianluca Campana is a Full Professor at the University of Padua, specializing in visual neuroscience and neuroplasticity. His research focuses on perceptual priming, learning, and the application of brain stimulation techniques like TMS and tRNS to enhance visual functions in clinical populations such as amblyopia, myopia, and dyslexia. He investigates mechanisms underlying motion perception, form-motion integration, and cognitive benefits of exergames and video games in aging populations. His work bridges basic neuroscience with applied interventions, aiming to improve visual and cognitive deficits through neurotechnological approaches. Research interests include transcranial electrical stimulation mechanisms, perceptual learning paradigms, and the neural basis of motion processing. He explores how sensory and parietal cortices contribute to visual perception and memory. Notable projects include DOMHO (2020), an IoT system for ambient assisted living, integrating neuroscience principles into technology. Recent studies highlight interventions combining action video games with parietal tRNS to boost reading fluency in dyslexia and exergame training's impact on mood/cognition in older adults. His lab also examines motion detection in dogs and humans, revealing parallels in perceptual mechanisms. Key contributions include characterizing contrast-mediated collinear interactions and advancing understanding of visual working memory’s role in serial dependence. His work underscores the dynamic interplay between neural plasticity and external stimuli in optimizing sensory and cognitive functions.

• Finance
• Human-Robot Interaction
• Privacy
• +3 more

Caterina Giannetti is an Assistant Professor at the Department of Economics and Management, University of Pisa, with affiliations at the Center E. Piaggio (University of Pisa) and Oliver Kirchkamp’s Chair in Empirical and Experimental Methods (University of Jena, Germany). She holds a PhD (Doctor Europaeus) from IMT Lucca (2008) and has conducted research at institutions including Tilburg University, Oxford University, and the University of Bologna. Her research focuses on interdisciplinary topics such as finance, human-robot interaction, and privacy. Key contributions include studies on ethical AI systems, crowdfunding dynamics, and behavioral aspects of financial markets. She actively contributes to the REMARC initiative, which addresses responsible management and sustainable development. Recent work explores AI ethics, hybrid financial market behaviors, and the impact of social interactions on economic decisions. Caterina maintains an active academic presence, with publications in journals like the Cambridge Journal of Economics and Journal of Empirical Finance . Her affiliations span multiple institutions, reflecting her commitment to bridging academic research with practical applications in finance, technology, and societal challenges.

• Environmental Economics
• Industrial Symbiosis
• Transportation Systems
• +3 more

Alberto Nastasi is a Full Professor at the Department of Computer, Automation, and Management Engineering 'Antonio Ruberti' at Sapienza University of Rome. He teaches courses including Economics of Industrial Systems, Applied Economics, and Economics and Management of Health Services. His research focuses on sustainability, industrial symbiosis, transportation systems, and circular economy. Key projects include analyzing industrial cooperation strategies, high-speed rail integration, and biomethane production from urban waste. He leads the 'Sustainability and Circular Economy' research group and has contributed to policy evaluations like the European Emission Trading System's impact on aviation. Research highlights include agent-based modeling for industrial platforms, consumer behavior regarding food waste apps, and comparing family/nonfamily firms in green innovation. He has investigated airport slot allocation mechanisms and network configurations for HSR development. His work spans academic-industry collaboration models and efficiency in public transport sectors. Notable grants include studies on synthetic control methods for policy analysis and internationalization strategies of family firms. He actively contributes to sustainable development through both theoretical frameworks and applied policy analysis.

Diogo F. PachecoView profile

Research Fellow

• Computational Social Science
• Complex Systems
• Social Media Analysis
• +4 more

Diogo F. Pacheco is a Postdoctoral Fellow at the Center for Complex Networks and Systems Research, Indiana University Bloomington, supervised by Fil Menczer and Alessandro Flammini. He maintains dual affiliations as a member of the BioComplex Lab and an invited researcher at the Computational Intelligence Research Group, University of Pernambuco. His educational background includes: Ph.D. in Computer Science from Florida Institute of Technology (2017), dissertation: Information Densification of Social Constructs via Behavior Analysis of Social Media Users Master's in Computer Science from University of Pernambuco (2008), thesis: An Evolutionary Multi-Objective Approach to Decision Support in Sugarcane Harvest Bachelor's in Computer Science from University of Pernambuco (2006), thesis: Decision Support in Intelligent Systems for Agricultural Crops Dr. Pacheco specializes in computational social science and complex systems modeling, with core expertise in social media analysis for societal insights. His methodology combines data-driven behavioral modeling , network science , and machine learning to examine phenomena including language spreading, football supporter dynamics, organ donation awareness, and social disorganization. Early work focused on multi-objective optimization for agricultural decision support, evolving into contemporary research on digital footprints as proxies for human behavior. Analysis of his 15 most recent publications reveals a clear trajectory from agricultural optimization (2006-2008) to computational social science (2014-2019). Recent work demonstrates sophisticated applications of Twitter data for cross-disciplinary studies in public health, criminology, and sports analytics, often correlating digital behavior with socio-economic indicators. His GitHub ecosystem simulations for DARPA represent cutting-edge multi-agent modeling of online communities. Dr. Pacheco actively collaborates with research groups including the BioComplex Lab (Indiana University) and University of Pernambuco's Computational Intelligence Research Group. His current projects involve large-scale social media simulations, human mobility modeling, and social disorganization metrics using location-based data. Prior to his Ph.D., he gained five years of industry experience following his Master's degree.

• Combinatorial Optimization
• Meta-heuristics
• Mixed Integer Programming
• +7 more

Luigi De Giovanni is an Associate Professor of Operations Research at the Department of Mathematics, University of Padua, where he has been faculty since 2007 (promoted to Associate Professor in 2018). He holds the Italian academic qualification as Full Professor since 2020. His research focuses on Combinatorial Optimization, Meta-heuristics, Mixed Integer Programming, and their applications in Transportation and Logistics, Air traffic and Airport Optimization, Telecommunication Network Design, and Production Scheduling. His work bridges theoretical optimization methods with practical industrial applications across various sectors including transportation, manufacturing, and telecommunications. Professor De Giovanni has led and participated in several significant research projects including: European Research Project 'OptiFrame - An Optimization Framework for Trajectory Based Operations' (H2020-SESAR-2015-1, 2016-2018) PRIN Project 'Nonlinear and Combinatorial Aspects of Complex Networks' (2017-2020) European Research Project 'AAS - Integrated Airport Apron Safety Fleet Management' (2008-2011) European Research Project 'SCOOP - Sheet Cutting and Process Optimization for Furniture Enterprises' (2006-2008) His extensive publication record spans from 2002 to 2024, with numerous articles in high-impact journals such as Transportation Science, IEEE Access, and European Journal of Operational Research. Recent publications show a strong emphasis on data-driven approaches to air traffic management, vehicle routing and logistics optimization, and graph theory applications, demonstrating continued research productivity and relevance. Professor De Giovanni teaches courses in Operations Research, Methods and Models for Combinatorial Optimization, and Stochastic Optimization at the University of Padua. His office hours are on Thursdays from 10:30 am to 12:30 pm by appointment.

• Building automation and control systems
• Building energy performance modeling
• Data-driven energy modeling
• +7 more

Marco Savino Piscitelli is a Fixed-Term Researcher at the Polytechnic University of Turin within the Department of Energy (DENERG) and member of the Interdepartmental Center SmartData@PoliTO. He actively contributes to the BAEDA Lab (Building Automation and Energy Data Analytics) since 2021. His academic activities span two schools: College of Architecture and Design (as member), and College of Electrical and Energy Engineering (as invited member). Research Interests focus on: Adaptive control strategies for smart buildings Data-driven energy management systems Knowledge graphs and LLMs for building interoperability Fault detection in HVAC and district heating systems Energy benchmarking frameworks Grid-interactive efficient buildings Commercial research projects with generative AI applications Recent Publications (2023-2025) demonstrate expertise in: AI-enhanced energy planning Brick-compliant semantic models Deep learning for power demand forecasting Multi-zone HVAC optimization Experimental building diagnostics Collective self-consumption strategies Teaching Roles include: Lecturer for Energy Management and Automation in Buildings (2023-2025) Collaborator for Energy Transition and Low-Carbon Architecture (2021-2025) Lecturer for Models and Scenarios for Energy Planning (2024) Titolare (lead instructor) for Building Physics and Air Conditioning (2024) Research Projects : 2024-2025 : Scientific Manager for "Data-Driven Performance Analysis through Generative AI" 2023-2024 : Scientific Head for "Advanced data-driven smart reporting systems" Labs & Teams : BAEDA Lab - Building Automation and Energy Data Analytics SmartData@PoliTO - Big Data and Data Science Laboratory Collaboration with CityLearn v2 development team

• Gerontology
• Cognitive Psychology
• Sleep Disorders
• +3 more

Enrico Sella is an Assistant Professor at the University of Padua, specializing in cognitive psychology and gerontology. His research focuses on sleep quality, aging processes, and the psychological impacts of environmental factors. He investigates metacognitive beliefs, biophilic environments, and non-pharmacological interventions for cognitive health. His work often employs systematic reviews and meta-analyses to evaluate intervention efficacy in older adults. Key research themes include music's effects on cognition, the role of personality in sleep regulation, and the restorative benefits of nature exposure. Recent studies examine cognitive stimulation therapy across dementia types, GPS navigation's cognitive implications, and emotion regulation during pandemics. Publications explore topics such as memory training longevity, forest school benefits for children, and the interaction between metamemory and personality in episodic memory. He has contributed to adapting metacognitive questionnaires for sleep disorders research. Despite his extensive publication record, no awards or grants are explicitly mentioned in the provided texts.

• Artificial Intelligence
• Computational Argumentation
• Uncertainty Representation
• +3 more

Pietro Baroni is a Full Professor of Computer Science at the Department of Information Engineering, University of Brescia. His research focuses on artificial intelligence, computational argumentation, uncertainty representation, decision support systems, automated diagnosis, and multi-agent systems. He has authored over 110 scientific papers and holds a patent in his field. Key research interests include formal argumentation frameworks, causal reasoning, and their applications in healthcare robotics, energy systems, and decision-making. His work bridges theoretical foundations (e.g., abstract argumentation semantics) with practical implementations in domains like medical automation and sustainable engineering. Notable contributions include advancing automated diagnosis methods for power grids, developing collaborative robotics for personalized medicine, and integrating user preferences into decision support systems. His recent publications emphasize explainable AI, energy efficiency optimization, and interdisciplinary applications of argumentation theory. Baroni’s research has been applied to real-world challenges such as wastewater treatment optimization and environmental footprint assessment. He actively contributes to academic communities through editorial roles and conference organization, including the Logic and Argumentation (CLAR) conference series.