Alfredo Cuzzocrea

Alfredo Cuzzocrea is Distinguished Professor of Computer Engineering. He is with the DISPES Department – Section: Computer Engineering of University of Calabria, Rende, Italy. He also covers the role of Full Professor in Computer Engineering at the University of Paris City, Paris, France, as holding the Excellence Chair in Big Data Management and Analytics. He is Honorary Professor of Computer Engineering at the School of Engineering and Technology of the Amity University, Noida, India. He is Founder and Director of the Big Data Engineering and Analytics Laboratory (iDEA Lab) of the University of Calabria, Rende, Italy. He is also Research Associate of the National Research Council (CNR), Rome, Italy. Previously, he has covered the role of Full Professor in Computer Engineering at the University of Lorraine, Nancy, France, where he held the Excellence Chair in Big Data Privacy and Cybersecurity. On June 2019, he has been awarded as Full Professor in Computer Engineering at the Department of Computer Science of University of Bourgogne Franche-Comte, Besancon, France. On August 2019, he has been awarded as International Senior Research Fellow of the ISITE-BFC Research Excellence Program of the Ministry of Higher Education and Research (MESR), France. He is habilitated as Full Professor in Computer Engineering and Full Professor in Computer Science by the Ministry of Education, University and Research (MIUR), Italy, and Full Professor in Computer Science by the Ministry of Higher Education and Research (MESR), France. Previously, he has been habilitated as Associate Professor in Computer Engineering by the Ministry of Education, University and Research (MIUR), Italy, Associate Professor in Computer Science by the Aalborg University, Denmark, and Associate Professor in Computer Science by the University of Rome Tre, Italy. He holds several visiting professor positions worldwide. His current research interests span the following scientific fields: big data, database systems, data mining, OLAP, data warehousing, and knowledge discovery. He is author or co-author of more than 790 papers in international conferences (including CIKM, MDM, EDBT, SSDBM, PAKDD, DOLAP), international journals (including TKDE, JCSS, IS, FGCS, INS, JMLR) and international books. He is recognized in prestigious international research rankings, such as: (i) 1st World-Wide Scientist 2020 and 20211 for Research Topic: “OnLine Analytical Processing (OLAP)” by Microsoft Academic, Redmond, WA, USA; (ii) Top 2% World-Wide Scientist 2017, 2018, 2019, 2020, 2021 and 2022 by METRICS, Stanford, CA, USA; (iii) Top-100 Italian Scientist in Computer Science and Electronics 2022, 2023 and 2024 by Guide2Research, Clifton, NJ, USA; (iv) Top Scientist in Computer Science and Electronics 2019, 2020, 2021, 2022, 2023 and 2024 by Guide2Research, Clifton, NJ, USA; (v) Top-5 Highly Ranked Scholar 2024 for Research Topic: “Big Data” by ScholarGPS, California, CA, USA; (vi) Top-100 Researcher in Computer Science 2017-2021 for Research Topic: “Computer Science” by SciVal – Elsevier, Amsterdam, Netherlands; (vii) Top-100 Researcher in Computer Science 2017-2021 for Research Topic: “Theoretical Computer Science” by SciVal – Elsevier, Amsterdam, Netherlands; (viii) Top-100 Researcher in Computer Science 2012-2016 for Research Topic: “Computer Science” by SciVal – Elsevier, Amsterdam, Netherlands; (ix) Top-100 Researcher in Computer Science 2012-2016 for Research Topic: “Theoretical Computer Science” by SciVal – Elsevier, Amsterdam, Netherlands; (x) Top-100 Italian Scientist in Computer Sciences 2022, 2023 and 2024 by Virtual Italian Academy, Manchester, UK; (xi) Top Italian Scientist in Computer Sciences 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 and 2024 by Virtual Italian Academy, Manchester, UK. Similarly, his international bibliometric research indicators are of high values, as recognized by Google Scholar H-Index, Scopus H-Index, ACM Download Metrics, and DBLP Most Prolific Authors. His research results have been awarded largely. He is involved in several national and international research projects (including international research projects founded by the Horizon 2020 EU framework programme for research and innovation), where he covers responsibility roles. He serves as Invited Speaker in several international conferences. He serves as Panel Leader and Moderator in several international conferences. His research results have been disseminated and promoted world-widely in a very large number of international conferences, where he holds community-leading roles, and internationally-renowned universities and research centers, where he holds a very large number of visiting positions. He holds several roles in international scientific societies, steering committees of international conferences, award committees of international conferences, and international research cooperation agreements, also having responsibility roles. He also contributes to the promotion of international research project activities by membering a high number of international research councils and funding agencies. His contribution to serving the international research community is really noticeable. He serves as Springer Fellow Editor. He serves as Elsevier Ambassador. He served as Editor for the Springer series “Communications in Computer and Information Science”, for which he also serves as Funding Editor. He covers a large number of roles in international journals, such as Editor-In-Chief (including Modelling, International Journal of Big Data Engineering and Analytics), Associate Editor (including INS, JPDC, BDR, KAIS, SNAM, EAAI, FBD, FHPC), Editorial Board Member (including IS, IJIS, JDM, IJDMMM), Special Issue Editor (including JCSS, IS, FGCS, INS, BDR, KAIS). He edited more than 60 international books and conference proceedings. He is member of editorial advisory boards of several international books. He covers a large number of roles in international conferences, such as General Chair (including CIKM, ICDM, BigData, EDBT/ICDTW, CSE, WIMS), Program Chair (including ASONAM, CSE, ODBASE, DEXA, DOLAP, DaWaK, ICA3PP, ICEIS, DATA), Poster Chair (including BigComp), Workshop Chair (including BigData, CCGRID, COMPSAC, ICKB), Fast Abstract Chair (including COMPSAC), Proceedings Chair (including BigData, CDICS), Local Chair (including ICCSA, OTM, WIMS), Liaison Chair (including ICCSA, IDEAL), Publicity Chair (including ICDM, BigData, SDM, APWeb, SSTDM) and Sponsor Chair (including ASONAM). He serves as Session Chair in a large number of international conferences (including CIKM, ICDM, MDM, EBDT, SSDBM, PAKDD, DOLAP). He serves as Review Board Member in a large number of international journals (including TODS, TKDE, TKDD, TOIS, TOIT, TSC, TIST, TSMC, TCC, THMS, TOMM, TETCI). He serves as Review Board Member in a large number of international books. He serves as Program Committee Member in a very large number of international conferences (including VLDB, CIKM, ICDE, EDBT, KDD, ICDM, PKDD, SDM, AAAI, IJCAI, ICDCS). For his international research community services, he has been awarded several times. His academic services are relevant as well. He covers several scientific advising roles for research fellows and PhD students. He is member of scientific boards of several PhD programs worldwide. He covers several institutional roles in university services, including scientific advisor roles for master and bachelor students, and teaching positions in national and international universities. Finally, he leads technological transfer for national and regional companies.

Publications

Towards a Grid-Based Framework for Supporting Range Aggregate Queries Over Big Sensor Network Readings: Overview, Management, and Applications

The problem of representing and querying sensor network readings issues new research challenges, as traditional techniques and architectures used for managing relational and...

Journal of Technological Advancements (JTA)

Alfredo Cuzzocrea. Est. 2021.

Technology has, and continues to, profoundly impact every facet of global society. From disrupting businesses and solving the world’s most complex problems, to monitoring human...

Extracting Insights From Bitcoin Transactions: Data Warehouse Modeling and Analytical Questions

Bitcoin is the most well-known cryptocurrency. It was first released in 2009 by Satoshi Nakamoto. Bitcoin serves as a decentralized medium of digital exchange, with transactions...

Data Science and Distributed Intelligence

Synopsis Data Structures for XML Databases

Record Linkage in Data Warehousing

Searching Semantic Data Warehouses

OLAP Over Probabilistic Data

OLAP over Uncertain and Imprecise Data Streams

OLAP over XLM Data

Privacy Preserving OLAP Data Cubes

An Envisioned Approach for Modeling and Supporting User-Centric Query Activities on Data Warehouses

In this vision paper, the authors discuss models and techniques for integrating, processing and querying data, information and knowledge within data warehouses in a user-centric...

Estimating the Completeness of Range Queries over Structured P2P Databases: Fundamentals, Theory, and Effective Applications to Distributed Information Systems

Range queries are a very powerful tool in a wide range of data management systems and are vital to a multitude of applications. The hierarchy of structured overlay systems can be...

Effectively and Efficiently Designing and Querying Parallel Relational Data Warehouses on Heterogeneous Database Clusters: The F&A Approach

In this paper, a comprehensive methodology for designing and querying Parallel Rational Data Warehouses (PRDW) over database clusters, called Fragmentation & Allocation (F&A) is...

International Journal of Distributed Systems and Technologies (IJDST)

Nik Bessis. Est. 2010.

The International Journal of Distributed Systems and Technologies (IJDST) focuses on integration techniques, methods, and tools employed in applied distributed computing systems...

Intelligent Techniques for Warehousing and Mining Sensor Network Data

Sensor network data management poses new challenges outside the scope of conventional systems where data is represented and regulated. Intelligent Techniques for Warehousing and...

Improving OLAP Analysis of Multidimensional Data Streams via Efficient Compression Techniques

Sensor networks represent a leading case of data stream sources coming from real-life application scenarios. Sensors are non-reactive elements which are used to monitor real-life...

XP2P: A Framework for Fragmenting and Managing XML Data over Structured Peer-to-Peer Networks

This chapter presents XP2P (XPath for P2P), a framework for fragmenting and managing XML data over structured peer-to-peer networks. XP2P is characterized by an innovative...

Histogram-Based Compression of Databases and Data Cubes

Histograms have been extensively studied and applied in the context of Selectivity Estimation (Kooi, 1980; Muralikrishna & DeWitt, 1998; Piatetsky-Shapiro et al., 1984; Poosala...

Data Cube Compression Techniques: A Theoretical Review

OnLine Analytical Processing (OLAP) research issues (Gray, Chaudhuri, Bosworth, Layman, Reichart & Venkatrao, 1997) such as data cube modeling, representation, indexing and...

OLAP Visualization: Models, Issues, and Techniques

The problem of efficiently visualizing multidimensional data sets produced by scientific and statistical tasks/ processes is becoming increasingly challenging, and is attracting...

Privacy Preserving OLAP and OLAP Security

The problem of ensuring the privacy and security of OLAP data cubes (Gray et al., 1997) arises in several fields ranging from advanced Data Warehousing (DW) and Business...

View Selection in DW and OLAP: A Theoretical Review

Data Warehousing (DW) systems store materialized views, data marts and data cubes, and provide nicely data exploration and analysis interfaces via OnLine Analytical Processing...

Histogram-Based Compression of Databases and Data Cubes

Histograms have been extensively studied and applied in the context of Selectivity Estimation (Kooi, 1980; Muralikrishna & DeWitt, 1998; Piatetsky-Shapiro et al., 1984; Poosala...

Models and Techniques for Approximate Queries in OLAP

Since the size of the underlying data warehouse server (DWS) is usually very large, response time needed for computing queries is the main issue in decision support systems...

Synopsis Data Structures for Representing, Querying, and Mining Data Streams

Data-stream query processing and mining is an emerging challenge for the database research community. This issue has recently gained the attention from the academic as well as...

A Query-Strategy-Focused Taxonomy of P2P IR Techniques

During the last years, there was a growing interest in peer-to-peer (P2P) systems, mainly because they fit a wide number of real-life ICT applications. Digital libraries are only...

Innovative Access and Query Schemes for Mobile Databases and Data Warehouses

Thanks to the explosion of the wireless technology, mobile environments are becoming the leading software platforms for extracting knowledge and interacting with enterprise...

Modeling and Querying XMLBased P2P Information Systems: A Semantics-Based Approach

Knowledge representation and management techniques can be efficiently used to improve data modeling and IR functionalities of P2P Information Systems, which have recently...

Semantics-Aware Advanced OLAP Visualization of Multidimensional Data Cubes

Efficiently supporting advanced OLAP visualization of multidimensional data cubes is a novel and challenging research topic, which results to be of interest for a large family of...

Semantics-Aware Advanced OLAP Visualization of Multidimensional Data Cubes

Efficiently supporting advanced OLAP visualization of multidimensional data cubes is a novel and challenging research topic, which results to be of interest for a large family of...