جست‌وجوی استاد و پژوهشگر

• Multi-criteria decision analysis
• Operations research
• Fuzzy sets and fuzzy numbers
• +۷ مورد دیگر

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.

Diego Calvaneseمشاهده پروفایل

استاد

• Knowledge Representation and Reasoning
• Virtual Knowledge Graphs
• Ontology-based Data Access and Integration
• +۷ مورد دیگر

Diego Calvanese is a Full Professor in Computer Engineering at the Faculty of Engineering of the Free University of Bozen-Bolzano, Italy. He serves as Spokesperson of the Institute of Computer Science and Artificial Intelligence and Director of the Smart Data Factory technology transfer lab at NOI Techpark. As Coordinator of the Intelligent Integration and Access to Data (In2Data) research group, part of the Research Centre for Knowledge and Data (KRDB), he leads significant research initiatives in knowledge representation and data management. Calvanese's research focuses on virtual knowledge graphs for data access and integration, ontology-based data access, description logics, semantic web technologies, graph data management, and verification of data-aware processes. His work bridges theoretical foundations with practical applications through the Ontop framework, which enables SPARQL query answering over OWL 2 QL ontologies connected to external data sources. His research has substantial practical impact, powering the South Tyrol Open Data Hub Knowledge Graph and supporting numerous European and national research projects. With more than 400 refereed publications and over 39,000 citations (h-index 80), Calvanese's recent work demonstrates continued leadership in virtual knowledge graphs, ontology-based data federation, explainable AI through knowledge representation, and integration of complex data types including 3D city models and raster data. His publications show a clear trajectory from theoretical foundations toward increasingly practical and applied research addressing real-world data integration challenges across multiple domains. ACM Fellow (2019) EurAI Fellow (2015) AAIA Fellow Program Chair of PODS 2015 and KR 2020 General Chair of ESSLLI 2016 Calvanese has secured significant research funding through numerous competitive projects including EU H2020 INFRAEOS Project (INODE), Italian PRIN Project (HOPE), FESR Project (IDEE), and EU FP7 IP Project (Optique), totaling close to 6.4M Euro. As an originator and co-founder of Ontopic, the first spin-off of the Free University of Bozen-Bolzano, he has successfully translated research into commercial applications. He serves as Associate Editor of Artificial Intelligence (AIJ) and has participated in over 200 program committee roles for international conferences. As Director of the Smart Data Factory technology transfer lab and coordinator of the In2Data research group, Calvanese bridges academic research with industry applications, focusing on practical implementations of knowledge graph technologies. His work with the KRDB Research Center has established Bozen-Bolzano as a significant hub for knowledge representation and data management research in Europe.

• Software Engineering
• Artificial Intelligence
• AI Trustworthiness Assessment (SE4AI)
• +۵ مورد دیگر

Gias Uddin is an Associate Professor at York University's Lassonde School of Engineering and an Adjunct Professor at the University of Calgary . His research bridges Software Engineering (SE) and Artificial Intelligence (AI) , focusing on AI Trustworthiness Assessment (SE4AI) and AI-Driven Productivity Tools (AI4SE) . PhD in Software Engineering & AI, McGill University (2018) MSc in Software Engineering, Queen’s University (2008) BSc in Computer Science & Engineering, Bangladesh University of Engineering and Technology (2004) His research explores: Metamorphic Relations for LLM Hallucination Detection AI-Enhanced Software Documentation Foundational Models for Runtime System Modernization Developer-Centric AI Tooling Recent article trends show expertise in LLM Trustworthiness , Low-Code Platforms , and IoT Developer Communities . Awards include Distinguished Paper at FSE 2025 , multiple IBM Champion recognitions, and York Research Award . He leads the Data Intensive Software Analytics (DISA) Lab and mentors PhD students in SE-AI Intersections .

• GPU Acceleration
• Embedded Systems
• Autonomous Vehicles
• +۶ مورد دیگر

Nicola Capodieci is an Associate Professor at the Department of Physical, Computer and Mathematical Sciences at the University of Modena and Reggio Emilia, specializing in Information Processing Systems (IINF-05/A). He actively teaches multiple courses including Object-Oriented Programming, Web Technologies, and General Computer Science across Computer Science and Mathematics degree programs. His research interests focus on GPU acceleration for embedded systems, autonomous vehicles, and real-time computing. Dr. Capodieci's work addresses critical challenges in heterogeneous computing platforms, particularly for automotive applications and smart city infrastructure. His research bridges theoretical computer science with practical applications in autonomous driving and urban mobility systems. Analysis of his recent publications reveals a strong focus on optimizing GPU performance for latency-sensitive applications, particularly in autonomous vehicles. His work spans path planning algorithms, memory interference management, and real-time scheduling on heterogeneous platforms. A significant portion of his research addresses practical implementation challenges in embedded systems where computational resources are constrained but timing predictability is critical. Dr. Capodieci's teaching portfolio demonstrates expertise in both foundational programming concepts and advanced topics in web technologies. His courses emphasize practical implementation skills while covering theoretical foundations of object-oriented programming, web development frameworks, and computational thinking.

• Augmented Reality
• Virtual Reality
• Biophilic Design
• +۳ مورد دیگر

Michele Gattullo serves as an Assistant Professor within the Department of Mechanics, Mathematics & Management at the Polytechnic University of Bari, Italy, specializing in design methods for industrial engineering (ING-IND/15). His research bridges cutting-edge extended reality technologies with practical industrial applications, focusing on human-centered solutions for manufacturing, maintenance, and workplace design. Dr. Gattullo's research portfolio centers on Augmented Reality, Virtual Reality, and Biophilic Design, with significant contributions to Human-Computer Interaction in industrial contexts. He investigates how nature-inspired elements in virtual workspaces enhance employee well-being and productivity, while simultaneously developing practical AR tools for assembly guidance, technical documentation, and maintenance support. His work uniquely integrates ergonomics, cognitive psychology, and industrial engineering to optimize human-technology interaction in complex production environments. Analysis of his 15 most recent publications reveals two dominant research trajectories: biophilic design frameworks for virtual/metaverse workspaces (2023-2025) and industrial AR authoring methodologies. The biophilic stream establishes evidence-based guidelines for digital nature integration, while the AR stream delivers validated tools like ADAM and minimal AR approaches that streamline technical documentation creation. Both trajectories emphasize user experience validation through rigorous industrial studies, demonstrating strong interdisciplinary impact across computer science, industrial engineering, and environmental psychology. Scientific Awards: No awards or honors were documented in the available sources. Advising and Grants: The provided materials contain no information regarding graduate student supervision, research grants, or funding sources. His academic profile emphasizes publication output over mentoring activities or project financing details. Laboratories and Teams: While Dr. Gattullo's research involves advanced XR technologies, the source text does not specify laboratory facilities, research groups, or collaborative teams associated with his work at Politecnico di Bari.

• Operations Management
• Industrial Systems
• Servitization
• +۵ مورد دیگر

Sergio Cavalieri is currently Rector of the University of Bergamo and a Full Professor of Operations Management within the Department of Management, Information and Production Engineering. His academic career focuses on innovation in management processes across industrial and service companies, with emphasis on digital transformation and sustainable business models. His research interests span Operations Management, Industrial Systems, and Servitization, with particular expertise in Product-Service Systems, Maintenance Management, and Digital Manufacturing. Cavalieri has pioneered work in Industrial Agile Working, 5G applications in manufacturing, and sustainability-oriented business models, especially within the steel sector. His research bridges theoretical frameworks with practical applications, addressing real-world challenges in manufacturing transformation. His publication record demonstrates consistent output in high-impact journals, with a clear trend toward integrating digital technologies with sustainable business practices. Recent work focuses on leveraging NLP for maintenance optimization, developing maturity models for agile working environments, and creating assessment tools for sustainable servitization in heavy industries. Cavalieri holds significant leadership roles including President of the U4I Foundation (University for Innovation), past President of AIDI (Association of Professors of Industrial Mechanical Plants), and Coordinator of the innovation table for the manufacturing industry of the 2021-2027 National Research Plan. He also directs the MeGMI Master's Program (Master in Industrial Asset and Maintenance Management). As an academic leader, Cavalieri serves on international scientific associations including IFAC-TC 5.1 on Advanced Manufacturing Technology and IFIP WG 5.7 on Advances in Production Management Systems. His work bridges academic research with industrial application through numerous collaborative projects focusing on digital transformation in manufacturing. His research activities are organized around several key initiatives including the MeGMI Master's Program and collaborations with industrial partners focused on implementing digital technologies in production environments. Cavalieri's work emphasizes the human-technology integration necessary for successful Industry 4.0 adoption.

• New Product Development
• Knowledge Management
• Collaborative Work Environments
• +۵ مورد دیگر

Angelo Corallo is an Associate Professor at the Department of Experimental Medicine, University of Salento, specializing in technologies and methodologies for collaborative processes in industrial systems. His research spans Digital Business Ecosystems , Cybersecurity , and Collaborative Product Design , focusing on the interplay between technology and organizational dynamics. He leads interdisciplinary research divisions in Open Networked Business Management , Learning and Innovation , and Collaborative Product Design . Research Interests : Corallo's work integrates Information and Communication Technologies (ICT) with Business Management, particularly in Digital Twins for healthcare and manufacturing Knowledge Modeling and Ontology Engineering Industry 4.0 and Smart Manufacturing Agri-Food Sustainability through digitalization Scientific Contributions : His recent articles explore trends in Cybersecurity for Industrial IoT Metaverse Applications in business models Traceability Systems in food supply chains Collagen-Based Biomaterials from aquaponics

Agostino Cortesiمشاهده پروفایل

استاد

• Software Engineering
• Static Analysis
• Cybersecurity
• +۵ مورد دیگر

Agostino Cortesi is a Full Professor at Ca' Foscari University of Venice , affiliated with the Department of Environmental Sciences, Informatics and Statistics. He serves as Rector's Delegate for Research Quality Assessment and Deputy Coordinator of the Scientific Committee for the Innovation Ecosystem Project. His academic career includes a PhD in Applied Mathematics and Informatics from the University of Padova (1992), a postdoctoral fellowship at Brown University, and visiting professor roles at institutions such as the University of Illinois and École Normale Supérieure Paris. Research interests focus on software engineering , static analysis , security applications , and abstract interpretation . He has pioneered techniques for formal verification of software systems and explored cybersecurity in e-Government and robotics. His work spans over 200 publications in top journals and conferences (e.g., ACM TOPLAS, IEEE TSE, POPL, PLDI). Key contributions include advancements in abstract domains for behavioral property verification and security-oriented analysis frameworks. He has held leadership roles including Vice-Rector at Ca' Foscari, Dean of Computer Science programs, and Chair of the Department of Computer Science. Cortesi coordinates EU Horizon 2020 projects (e.g., Families_Share €1.6M) and regional initiatives like CEVID (€360K). He founded Factors , a university spin-off focused on robotic systems verification, which won the 2020 Veneto SmartCup ICT Prize. Education: PhD in Applied Mathematics and Informatics (1992, University of Padova) Editorial Roles: Co-Editor-in-Chief of Springer’s 'Services and Business Process Reengineering', and member of editorial boards for 'Computer Languages' and others Grants: Over €3M in EU and regional funding for projects in cybersecurity, Industry 4.0, and digital innovation Teaching includes courses on Software Correctness , Data Programming , and Computer Networks across Computer Science and Management programs. His research lab actively engages in industrial partnerships with Cisco, Leonardo, and AGID (Italy’s Digital Agency).

• Information Systems
• Business/IT Alignment
• Machine Learning
• +۵ مورد دیگر

Lerina Aversano is an Associate Professor in the Department of Engineering (DING) at the University of Sannio, specializing in Information Processing Systems (ING-INF/05). Her research focuses on the intersection of business processes and information technology, with particular expertise in business/IT alignment, process mining, and machine learning applications. Her research interests include: Business/IT alignment and strategic integration Machine learning and deep learning applications in healthcare diagnostics Process mining and predictive analytics for business processes Software engineering and service-oriented computing Semantic integration of heterogeneous data sources Over her extensive career, Aversano has published 145 research items with a clear evolution from foundational work in business/IT alignment to cutting-edge applications of AI in healthcare and business process management. Her most recent publications demonstrate expertise in explainable AI for process prediction, AI applications in medical diagnosis (including Parkinson's and thyroid diseases), and security for IoT systems, showing her ability to adapt to emerging technologies while maintaining focus on core alignment issues between business needs and technological solutions. She maintains an active research group with frequent collaborations with Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, and Maria Tortorella, producing significant contributions to information systems literature. Her work appears in reputable venues including IEEE conferences, Springer publications, and journals like Information and Software Technology.

Riccardo Rosatiمشاهده پروفایل

استاد

• Knowledge Representation
• Description Logics
• Semantic Web
• +۷ مورد دیگر

Riccardo Rosati is a Full Professor at the Department of Computer, Control, and Management Engineering, Sapienza University of Rome, affiliated with the Faculty of Information Engineering, Computer Science and Statistics. He obtained his PhD in Computer Science from Sapienza University of Rome in 1997. His research focuses on Knowledge Representation, Description Logics, Semantic Web, Ontologies, Information Integration, Databases, and Artificial Intelligence. Specifically, he has made significant contributions to the integration of description logics and logic programming, and is one of the creators of the DL-Lite family of description logics, which became a standard in the Semantic Web (OWL 2 QL). His recent publications center around controlled query evaluation, ontology-based data access, and applying knowledge representation in healthcare informatics. The trend shows strong emphasis on both theoretical foundations and practical applications. Scientific awards and recognitions include: Distinguished Paper Award at IJCAI 2024 AAAI 2021 Classic Paper Award He has advised numerous students and been involved in research projects including OPTIQUE (Scalable End-user Access to Big Data), ACSI (Artifact-Centric Service Interoperation), TONES (Thinking Ontologies), INFOMIX (boosting information integration), QuOnto (Querying Ontologies), and HYPER (How Your Peers Exchange Resources). He leads the Artificial Intelligence and Knowledge Representation research group and collaborates with the Data Management and Service-Oriented Computing group at DIAG.

• Photogrammetry
• Remote Sensing
• Geomatics
• +۱۲ مورد دیگر

RONCELLA Riccardo is an Associate Professor in the Department of Engineering and Architecture at the University of Parma, Italy, where he has been employed full-time since 2008 and promoted to Associate Professor in 2014. He qualified as a Full Professor through Italy’s National Scientific Qualification in 2017. His academic work spans photogrammetry, remote sensing, geomatics, and civil engineering, with strong applications in environmental monitoring, cultural heritage, and geohazard assessment. Ph.D. in Civil Engineering, University of Parma, 2006 M.Sc. in Civil Engineering, University of Parma, 2002 (110/110 magna cum laude) Prof. Roncella’s research focuses on photogrammetry, UAV-based remote sensing, digital image correlation, and 3D modeling, with applications in rock slope stability, cultural heritage documentation, environmental monitoring, and precision agriculture. His work integrates advanced image matching algorithms and software development for geospatial analysis. He has led the development of several software tools including EyeDEA, RockScan, DICe, DenseMatcher, and SlopeMonitor. His publication record includes over 70 journal papers in top-tier journals such as ISPRS Journal of Photogrammetry and Remote Sensing, Rock Mechanics and Rock Engineering, and Remote Sensing. His recent work emphasizes automated monitoring, HBIM, low-cost sensing, and digital twin creation, showing a consistent trend toward practical, scalable solutions in geomatics and civil engineering. Scientific Awards: Best Ph.D. Italian Thesis - Autec Price (2006) Prof. Roncella has secured significant research funding as Principal Investigator (PI) and Co-Investigator (CI), including an ARC Discovery Project (AUD 385K), ACARP funding (AUD 210K), and EU POR FESR grants exceeding €1 million. He has mentored over 30 MEng students and supervised multiple PhD candidates. He also serves on scientific committees and editorial boards, including Remote Sensing (MDPI), and acts as a reviewer for leading journals and grant agencies. He leads collaborative research with institutions such as Politecnico di Milano, University of Florida, UCL, TU Delft, University of Newcastle, and INAF. His laboratory engages in interdisciplinary projects involving UAVs, stereo photogrammetry, and change detection for civil and environmental applications.

• Manufacturing Technologies
• Product-Service Systems
• Quality Engineering
• +۳ مورد دیگر

Federico Barravecchia is a Fixed-term Researcher (Law 240/10 art.24-b) and tenure-track Assistant Professor at the Department of Management and Production Engineering (DIGEP) , Politecnico di Torino. He serves as a Member of the University Internship Commission and has been recognized with Quality Awards in 2018 and 2019 by Politecnico di Torino. Academic Role: Assistant Professor in Industrial and Information Engineering (Area 0009) Research Group: Quality Engineering (DIGEP) Research Interests focus on advanced manufacturing technologies, quality engineering, and product-service systems. His work bridges servitization in manufacturing with emerging Quality 4.0 paradigms, particularly in human-robot interaction and big data analytics applications. Teaching Contributions include leadership in the Service Quality and Customer Experience course for the Master's Degree Course in Management Engineering since 2022, with earlier roles as course collaborator for Quality in Services and Production Systems courses from 2019 to 2021. Scientific Achievements include significant publications in top journals like the International Journal of Quality and Reliability Management and Quality Engineering , addressing topics such as: Digital voice-of-customer processing Collaborative robotics cost modeling Affective computing in manufacturing Servitization measurement frameworks User sentiment analysis for service quality

Massimo Mecellaمشاهده پروفایل

استاد

• Service-Oriented Computing
• Business Process Management
• Process Mining
• +۱۲ مورد دیگر

Massimo Mecella serves as Full Professor at Sapienza University of Rome's Faculty of Information Engineering, Computer Science and Statistics, where he leads the Processes, Services and Software Management research group and participates in the CINI National Cyber Security Lab. His academic foundation stems from a PhD in Computer Engineering earned at Sapienza in 2002. His research expertise spans service-oriented computing, business process management, and cyber-physical systems with emphasis on service composition, process mining, and adaptive distributed architectures. Key technical domains include IoT integration, digital twin development, and security frameworks for complex software ecosystems. Recent publications (2024-2025) demonstrate a pronounced shift toward Large Language Model (LLM) integration in business processes and smart manufacturing. Dominant themes include LLM-driven process modeling, multimodal quality control systems, and digital twin implementations for energy management and production optimization. Methodological innovations focus on retrieval-augmented generation (RAG) for service discovery and fuzzy cognitive maturity assessments. His distinguished recognition includes: ICSOC 2013 Most Influential Paper Award (2003-2012 decade) 2017 Best Paper Award As research group leader, Mecella directs projects in smart manufacturing, process mining, and cyber-physical security, with funding typically sourced from EU initiatives and industry partnerships in aerospace, healthcare, and energy sectors. His team maintains active collaborations with aerospace manufacturers through the MICS SPOKE8 project and develops frameworks like SAMBA for human-in-the-loop manufacturing systems. The Processes, Services and Software Management group operates within Sapienza's engineering faculty infrastructure, utilizing specialized labs for CPS/IoT testing and digital twin simulation, with strong ties to the CINI Cyber Security Lab for security validation.

• Business Model Innovation
• Digital Marketing
• Social Media Marketing
• +۲ مورد دیگر

Daniela Andreini serves as full professor in marketing and Head of the Department of Management at the University of Bergamo, Italy, where she leads academic initiatives and research programs. Her educational background includes a Doctorate in Business Administration from La Sapienza University of Rome and a Master's Degree in Business Administration from the University of Bergamo. Her research centers on business model innovation, digital branding, and social media marketing, with publications in top-tier journals including Journal of Advertising, Journal of Business Research, and Industrial Marketing Management. Recent work examines woke branding efficacy, insect-based food consumer behavior, and AI's impact on brand experience. Her publication trends reveal strong focus on digital transformation in marketing, consumer responses to emerging trends, and interdisciplinary approaches combining neuroscience with traditional marketing frameworks. Key recognitions include: University of Bergamo Researcher Recognition (2015) FFABR research grant from ANVUR PRIN 2022 BUMOLDS research grant She actively shapes academic discourse as consulting editor of International Journal of Management Reviews and editorial board member for Journal of Business Research, Journal of Product and Brand Management, Italian Journal of Marketing, and International Journal of Information Management. Her industry collaborations through the Marketing Lhab research group develop market strategies for corporate partners. She directs the Marketing Lhab research group at the Department of Business Studies, which conducts market research and develops branding strategies in partnership with companies.

Viviana Mascardiمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Multi-Agent Systems
• Natural Language Processing
• +۳ مورد دیگر

Viviana Mascardi serves as an Associate Professor within the Department of Computer Science, Bioengineering, Robotics, and Systems Engineering (DIBRIS) at the University of Genoa. Her teaching responsibilities encompass core computer science courses such as Algorithms and Data Structures for the undergraduate program, and advanced topics including Natural Language Processing and Symbolic and Distributed Artificial Intelligence for master's students. Dr. Mascardi's research spans several key areas in Artificial Intelligence. She specializes in Multi-Agent Systems, where she develops frameworks for intentional dialogue systems and investigates agent deployment strategies. Her work in Natural Language Processing focuses on integrating ontologies with cognitive conversational agents. Additionally, she contributes to software engineering through runtime verification techniques for object-oriented programming constructs. Analysis of her recent publications (2023-2024) reveals consistent contributions across three primary domains: multi-agent architectures, natural language processing systems, and software verification methodologies. Her research demonstrates a strong interdisciplinary approach, connecting theoretical computer science with practical applications in virtual environments and conversational AI. No scientific awards were mentioned in the available information. Similarly, details regarding student advising, research grants, laboratory facilities, or collaborative research teams were not provided in the source material.