Query Processing Professors and Supervisors in Italy

Antonino NoceraView profile

Associate Professor

University of PaviaItaly

Antonino Nocera is an Associate Professor at the University of Pavia's Department of Electrical, Computer and Biomedical Engineering, within the Faculty of Engineering. He specializes in Data Science, Social Network Analysis, Privacy, Security, and Artificial Intelligence. He holds a PhD in Information Engineering from the University Mediterranea of Reggio Calabria (2013). His research focuses on cybersecurity, machine learning applications, and privacy-preserving technologies, with over 85 publications. He is an Associate Editor for *Information Sciences* (Elsevier) and *IEEE Transactions on Information Forensics and Security*. He leads the Digital Content Analysis Lab (DCALab) and collaborates with Microsoft on cloud computing initiatives. Recent projects include a 2020 Hackathon on analyzing the spread of the SARS-CoV-2 virus and a Microsoft Learn mini-course on Azure. His work spans federated learning security, malware detection, and IoT trust models. He actively participates in conference TPCs and promotes ethical AI practices. Key contributions include frameworks like SECTIS for CTI sharing and DROIDTTP for Android application analysis. His teaching emphasizes data science and big data analytics, integrating industry tools like Azure into curricula.

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Remo PARESCHIView profile

Associate Professor

University of MoliseItaly

Prof. Remo PARESCHI is an Associate Professor at the Department of Bioscienze e Territorio, University of Molise. His research spans blockchain technology, artificial intelligence, smart contracts, IoT, and genomics. He explores interdisciplinary areas such as human-AI collaboration, cybersecurity in distributed systems, and applications of blockchain in agriculture and healthcare. Key research interests include system-theoretical approaches to multi-agent interactions, vulnerability detection in smart contracts, and ethical frameworks for AI integration. He has contributed to projects like Genesy (blockchain-based genomic data ecosystems) and Mybottega (digital art platforms). His work bridges technical innovation with societal impact, addressing sustainability, data privacy, and cultural heritage preservation. Publications highlight advancements in blockchain security, IoT integration, and cognitive systems. He has authored over 50 peer-reviewed articles, with notable contributions to conferences and journals in computer science, AI, and information systems. His research is characterized by cross-disciplinary collaboration, emphasizing practical implementations in real-world scenarios.

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Michele MelchioriView profile

Associate Professor

University of BresciaItaly

Michele Melchiori is an associate professor at the Università degli Studi di Brescia (Italy) since 1998, specializing in systems for information processing. He holds a PhD in Information Engineering from the University of Brescia and a Master's in Computer Science from the University of Milan. His research focuses on information systems design, semantic-based services, blockchain integration, and smart city technologies. Notable contributions include frameworks for smart contract design, blockchain applications in agri-food supply chains, and IoT-driven solutions for construction quality assurance. His work bridges theoretical advancements with practical implementations, spanning projects funded by collaborative initiatives. Key areas include personalized data exploration using semantic web technologies, trust management in decentralized systems, and healthcare applications like food recommendation systems. He has authored over 80 publications, emphasizing interdisciplinary approaches to data management challenges. Melchiori frequently contributes to academic events such as the Italian Symposium on Advanced Database Systems. His research bridges technical innovations (e.g., blockchain) with societal needs (e.g., smart city infrastructure and post-pandemic healthcare models).

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CLAUDIA DIAMANTINIView profile

Professor

Marche Polytechnic UniversityItaly

Prof. Claudia Diamantini is a Full Professor at the Department of Information Engineering (D.I.I.) of the Polytechnic University of Marche, located in Ancona, Italy. She specializes in data science, process mining, machine learning, and semantic technologies with a focus on applications in sustainability, education, and industrial systems. Her research explores topics such as knowledge graphs, predictive modeling for environmental metrics, and educational data analysis using AI techniques. Prof. Diamantini's work integrates advanced computational methods with real-world challenges, including energy efficiency in building engineering, anomaly detection in business processes, and semantic-driven data lake analytics. She leads initiatives to enhance decision-making through data-driven approaches, such as optimizing KPI forecasting and improving public transport performance monitoring. Her scholarly contributions span over 50 articles in top-tier conferences and journals, emphasizing interdisciplinary applications of computer science. She collaborates on EU-funded projects and advises graduate students in engineering and computer science disciplines. Office hours are held weekly at the Faculty of Engineering.

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DIMAURO GIOVANNIView profile

Associate Professor

University of BariItaly

Giovanni Dimauro is an Associate Professor in the Department of Computer Science at the University of Bari. His work focuses on biomedical informatics, ontology development, and machine learning applications in healthcare. He leads research in clinical text mining, healthcare knowledge graphs, and AI-driven medical decision support systems. Research interests include: biomedical natural language processing, ontology semantics for healthcare interoperability, and predictive modeling in clinical domains. His team develops tools for adverse event detection, social determinants extraction, and vaccine ontology alignment. Recent work emphasizes large language models for biomedical literature curation (RefAI), ensemble methods for knowledge extraction, and Med-BERT adaptations for disease prediction. Collaborations address clinical note analysis, drug repurposing via knowledge graphs, and interoperability frameworks like SDoHO ontology. His lab integrates deep learning, semantic web technologies, and clinical data standards to advance precision medicine and healthcare informatics.

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Milad ShokouhiView profile

Lecturer

University of UdineItaly

Milad Shokouhi is a Principal Applied Scientist and Manager at Microsoft in Bellevue, WA, leading a team focused on large-scale machine-learning models for AI scenarios in Microsoft Office, such as 'suggested replies' for Outlook. He previously held an honorary lecturer position at the University of Glasgow's School of Computing Science between 2013-2015 while working at Microsoft Research Cambridge, UK. His research emphasizes information retrieval, web search systems, and applications like auto-completion, spoken queries, time-sensitive search, and personalization. Before relocating to the U.S. in 2015, he spent eight years contributing to Bing's development at Microsoft Research Cambridge. His current role integrates academic research principles with industry-scale AI solutions. No scientific awards, formal advisees, or grant details were explicitly mentioned in the provided text. His work is closely tied to Microsoft's AI initiatives, with no affiliated academic labs or teams beyond his Microsoft team described here.

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Giovanna GuerriniView profile

Associate Professor

University of GenoaItaly

Giovanna Guerrini is an Associate Professor in the Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS) at the University of Genoa, Italy. She is actively involved in research, teaching, and academic service, with leadership roles in major conferences such as EDBT (Executive Board Member and Treasurer), SOFSEM (Track Chair), and UMAP (Workshop Chair). Her research interests include: Data Management Large Scale and Semantic Data Management Approximate and Adaptive Query Processing Linked Data and Ontology Matching Graph Matching and Geospatial Ontologies Spatio-Temporal Data and Location Inference Computer Science Education and Computational Thinking Her recent publications show a growing focus on computer science education, particularly in using gamified and extended reality environments, Sonic Pi for teaching concurrency, and AI-driven tools for enhancing computational thinking. This reflects a shift toward pedagogical innovation and student-centered learning methodologies. She has been recognized through active participation in top-tier program committees (SIGMOD, ISWC, ICDE) and organizing key workshops and schools (EDBT School 2017, APCSE at UMAP). No formal scientific awards are listed in the provided text. She advises multiple PhD students, both current and past, and contributes to academic grants and collaborative projects, particularly in database education and data science initiatives. She is affiliated with research groups including the DaMA Research Group, Data Science and Engineering Research Program, Big Data Interest Group UniGe, and CINI Big Data Research Lab.

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Genoveva Vargas-SolarView profile

Researcher

University of GenoaItaly

Genoveva Vargas-Solar is a senior scientist at the French National Centre for Scientific Research (CNRS), affiliated with the DataBase group at the Laboratory on Informatics on Image and Information Systems (LIRIS), Lyon, France. She is a member of the Mexican Academia of Computing (AMEXCOMP), the EDBT Endowment, BDA, ADBIS steering committees, and the SIGMOD executive board. She serves as Gender Equity Officer at LIRIS and Equity and Diversity contact for U. Claude Bernard Lyon 1. Her research focuses on service-based database and data science management systems, with emphasis on data science workflows, graph-based queries, and Service Level Objective (SLO)-driven systems. She works on query evaluation methodologies and tools for deploying data science functions on just-in-time architectures across ARM, Raspberry Pi, clusters, cloud, and HPC environments. Her work spans both fundamental and applied research in data-centric computing. She is a leader in Diversity, Equity, and Inclusion (DEI) in STEM, coordinating the interconference DEI initiative for major database conferences and serving as DEI liaison for the EDBT Endowment. She co-organizes the W-STEM forum at AICCSA and the DS4EIW workshop at IEEE Big Data. Her DEI research includes projects like SINFONIA, FRIENDLY, and JOWDIDSeAI, which examine gender dynamics in AI and computing careers and promote data-driven equity strategies. She has supervised numerous PhD students and postdoctoral fellows from institutions in France, Mexico, Brazil, Switzerland, and Uruguay. Her educational background includes dual PhDs in Computer Science (University Joseph Fourier, 2000) and Literature (University Stendhal, 2015), along with a Habilitation à Diriger des Recherches (2014) from the University of Grenoble-Alpes. President, Mexican Society of Computer Science (2007–2009) Deputy Director, French-Mexican Laboratory of Informatics and Automatic Control (LAFMIA) (2008–2020) Member, HADAS group, Informatics Laboratory of Grenoble (LIG) until October 2020 Advisory Board Member, European Network SPIDER (EU LAC Digital Partnership) Participant, European project Gender STI (CNRS partner group) She has led multiple research projects including GALILEAN, ADAGEO, DOING, SUMMIT, SINFONIA, JOWDIDSeAI, LETITIA, and FRIENDLY. She is also involved in activist work with the Tierra Común group and promotes initiatives such as W-Lead@STEM.

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Alessandro ArtaleView profile

Associate Professor

Free University of Bozen-BolzanoItaly

Alessandro Artale is an Associate Professor in the Faculty of Computer Science at the Free University of Bozen-Bolzano, where he is affiliated with the KRDB Research Centre. His research spans theoretical and applied aspects of knowledge representation, ontologies, and temporal reasoning. He earned his PhD in Computer Science from the University of Florence in 1994 and has held research and academic positions at CNR-LADSEB, IRST (now FBK), and UMIST (University of Manchester). PhD in Computer Science, University of Florence, 1994 His research interests include: Description Logics Ontologies and Conceptual Modelling Temporal and Computational Logics Knowledge Representation and Databases Artificial Intelligence and Natural Language Semantics His recent scholarly activities are reflected in his participation in leading international conferences such as AAAI, IJCAI, ECAI, KR, DL, TIME, and FoIKS. These publications and committee roles highlight a consistent focus on formal methods in AI, particularly in the areas of description logics, temporal reasoning, and ontology-based systems. The research demonstrates a strong theoretical foundation with applications in semantic web technologies and knowledge-driven systems. Notable scientific contributions include: Principal Investigator of the EPSRC project on Temporal Databases using Description Logics (2001–2004) Member of the KnowledgeWeb Network of Excellence Member of the InterOp Network of Excellence Member of the ESPRIT DWQ project on Data Warehouse Quality Artale has advised numerous Master's and PhD students through project supervision and has organized academic events such as the TIME and DL workshops. He has served on the program committees of over 50 international conferences and workshops, demonstrating extensive engagement with the research community. His teaching includes core computer science courses in algorithms, formal languages, compilers, and discrete mathematics. He is actively involved in research labs and teams including: KRDB Research Centre, Free University of Bozen-Bolzano Collaborations with European research networks (KnowledgeWeb, InterOp)

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Salvatore ORLANDOView profile

Professor

Ca' Foscari University of VeniceItaly

Salvatore Orlando is a Full Professor and Director of the Department of Environmental Sciences, Computer Science and Statistics at Ca' Foscari University of Venice. He holds academic roles including membership in the University Scientific Instrumentation Service Center (CSA) Management Committee and the Academic Senate. His research focuses on machine learning, information retrieval, and data mining, with notable contributions to learning-to-rank algorithms, decision tree ensembles, and adversarial machine learning. Key areas include efficient algorithms for large-scale systems, model interpretability, and fairness in AI. Orlando’s work bridges theoretical advancements with practical applications in database technology and cybersecurity. His recent publications emphasize optimizing ranking models, enhancing algorithm resilience, and addressing ethical considerations in AI systems. He is actively involved in organizing international conferences and serves on program committees, further contributing to the academic community.

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Claudio SILVESTRIView profile

Associate Professor

Ca' Foscari University of VeniceItaly

Claudio SILVESTRI is an Associate Professor at Ca' Foscari University of Venice, affiliated with the Department of Environmental Sciences, Computer Science and Statistics. He specializes in Computer Science (INFO-01/A), with a focus on data mining, privacy in location-based services, and spatio-temporal data analysis. His research integrates computer science with environmental and biomedical applications. Teaching Responsibilities include courses on Advanced Data Management (Computer Science) and Geographic Information Systems (Environmental Sciences) at the Master's level across multiple academic years. Research Interests span: Algorithms for privacy protection in location-based services Spatio-Temporal Data Warehouses and trajectory analysis Parallel computing on GPU and cloud platforms Applications in fisheries monitoring and diabetic kidney disease modeling Funding Projects include EU initiatives like H2020 (e.g., DC-ren for kidney disease research) and regional grants (e.g., ADMIN4D on Industry 4.0). Key collaborations involve researchers like Salvatore ORLANDO and Debora SLANZI. He is affiliated with the European Center for Living Technology (ECLT) and the Research Institute for Social Innovation. Office hours are held Wednesdays 2-4 PM by email appointment.

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Aris AnagnostopoulosView profile

Professor

Sapienza University of RomeItaly

Aris Anagnostopoulos is a Professor at the Department of Computer, Control, and Management Engineering (Dipartimento di Ingegneria Informatica, Automatica, e Gestionale) at Sapienza University of Rome since April 2012. His academic journey includes a Marie-Curie fellowship at Sapienza University and a postdoctoral position at Yahoo! Research in Santa Clara, CA. His educational background includes: Ph.D. in Computer Science, Brown University, Providence, RI Sc.M. in Applied Mathematics, Brown University, Providence, RI Sc.M. in Computer Science, Brown University, Providence, RI Diploma in Computer Engineering and Informatics, University of Patras, Patras, Greece Professor Anagnostopoulos's research focuses on the design and analysis of algorithms with applications in data mining and data science. His work spans stochastic analysis of dynamic processes, social network modeling and mining, WWW algorithms, randomized and approximation algorithms, information retrieval, and information security. His research has evolved to address contemporary challenges in federated learning, knowledge graphs, and ethical AI considerations in recommendation systems. His recent publications demonstrate a strong trend toward addressing real-world applications of data science and machine learning, particularly in healthcare, social media analysis, and privacy-preserving techniques. His work shows increasing interdisciplinary collaboration, especially with medical researchers, while maintaining strong theoretical foundations in algorithm design. Among his notable scientific awards are: Google Focused Research Award (1 of 6 PIs), 1M USD Junior Fellow, School for Advanced Studies, Sapienza University of Rome Personal research grant, Swedish Research Foundation, 200K euro, 2011 (declined) Best Poster Award, 4th International Conference on Web Search and Data Mining (WSDM 2011) Marie Curie International Incoming Fellowship, 160K euro, 2010 Paris Kanellakis Fellowship, Brown University Runner Up, Best Paper Award, 14th International World Wide Web Conference 2005 (WWW 2005) Professor Anagnostopoulos serves as the academic responsible for mobility (RAM) for the Data Science master's program and has developed comprehensive teaching materials for data science education. He teaches courses including Social Networks and Online Markets, Algorithmic Methods of Data Mining, Data Mining, and Algorithm Design. His teaching approach emphasizes both theoretical foundations and practical applications, with extensive use of AWS and Python-based tools to prepare students for industry certification.

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Marco ConsoleView profile

Assistant Professor

Sapienza University of RomeItaly

Marco Console is a tenured Assistant Professor (Ricercatore a Tempo Determinato di cat. B) at the Department of Computer, Control and Management Engineering (DIAG) of Sapienza University of Rome. His research focuses on knowledge representation, ontology-based data management, and the quality of data preparation, with recent emphasis on querying incomplete and heterogeneous data. Education: PhD in Engineering in Computer Science, Sapienza University of Rome, 2017 Research Interests: Console investigates foundational and practical aspects of Knowledge Representation and Reasoning , especially ontology-mediated query answering and data quality . His work spans semantic technologies , incomplete data , and explainable AI , aiming to provide users with meaningful and informative answers over large, heterogeneous knowledge bases. Across his latest publications he explores informativeness measures for query results, disaggregated data architectures for scalable workflows, and semantic explanations of machine-learning classifiers through ontologies, demonstrating a cohesive agenda that bridges symbolic AI and data management. Scientific Awards: Best Paper Award, International Conference on Principles of Knowledge Representation and Reasoning (KR), 2018 Editorial Service: Guest Editor, ACM Journal of Data and Information Quality (JDIQ), Special Issue on Quality Aspects of Data Preparation, 2022.

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Fabrizio SilvestriView profile

Professor

Sapienza University of RomeItaly

Fabrizio Silvestri is a Full Professor at Sapienza University of Rome's Department of Computer, Automatic and Management Engineering (DIAG), where he coordinates the Ph.D. program in Data Science. He leads the RSTLess research group focusing on Robust, Safe, and Transparent Deep Learning. Research interests: Artificial Intelligence, Machine Learning, Web Search, Natural Language Processing, Information Retrieval, Graph Neural Networks Research Trends from recent publications reveal: Advancements in sequential recommendation systems using topological and sheaf-based neural networks Focus on sustainable AI through eco-aware graph neural networks Counterfactual explanations for graph models and machine unlearning Security applications in dense retrieval and data poisoning defense Time series analysis for 5G network monitoring Integration of attention mechanisms and positional encoding in Transformers Scientific Achievements : ECIR 2018 Test of Time Award 3 Best Paper Awards (ECIR 2007, IEEE WI 2004, WSDM 2011 Runner-Up) Yahoo! Patent Milestone Award Recipient of Yahoo! Labs Excellence Program (LEAP) and Faculty Research Engagement Program (FREP) Finalist for ERCIM Cor Baayen Award (2005) Academic Leadership : Holds 9 industrial patents from Yahoo! and Facebook AI. Directed Facebook AI research groups combating malicious content. Ph.D. in Computer Science from University of Pisa with thesis on High-Performance Issues in Web Search Engines . Supervises thesis projects through the RSTLess group website .

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