Aris Anagnostopoulos
Biography
<p>I am 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. Before I was a Marie-Curie fellow at the same place and even before I was a postdoc at Yahoo! Research in Santa Clara, CA.</p>
<p>Education:<br />
- Ph.D. in Computer Science, Brown University, Providence, RI<br />
- Sc.M. in Applied Mathematics, Brown University, Provicence, RI<br />
- Sc.M. in Computer Science, Brown University, Providence, RI<br />
- Diploma in Computer Engineering and Informatics, University of Patras, Patras, Greece</p>
Research interest
<p>- Stochastic Analysis of Dynamic Processes<br />
- Modeling and Mining in Social Networks<br />
- Data Mining and Algorithms for the WWW<br />
- Randomized and Approximation Algorithms<br />
- Information Retrieval<br />
- Information Security</p>
Awards
<p>- Google Focused Research Award (1 of 6 PIs), 1M USD<br />
- Junior Fellow, School for Advanced Studies, Sapienza University of Rome<br />
- Personal research grant, Swedish Research Foundation, 200K euro, 2011 (declined).<br />
- Best Poster Award, 4th International Conference on Web Search and Data Mining (WSDM 2011).<br />
- Marie Curie International Incoming Fellowship, 160K euro, 2010.<br />
- Paris Kanellakis Fellowship, Brown University<br />
- Runner Up, Best Paper Award, 14th International World Wide Web Conference 2005 (WWW 2005).</p>
Membro di
Ultime pubblicazioni
| Analyzing Topic Models: A Tourism Recommender System Perspective on Lecture Notes on Data Engineering and Communications Technologies | 2024 |
| FedArtML: A Tool to Facilitate the Generation of Non-IID Datasets in a Controlled Way to Support Federated Learning Research on IEEE ACCESS | 2024 |
| ReliK: A Reliability Measure for Knowledge Graph Embeddings on Proceedings of the 2024 ACM Web Conference (TheWebConf 2024) | 2024 |
| A Data-Driven Approach to Refine Predictions of Differentiated Thyroid Cancer Outcomes: A Prospective Multicenter Study on THE JOURNAL OF CLINICAL ENDOCRINOLOGY AND METABOLISM | 2023 |
| A deep-learning–based antifraud system for car-insurance claims on EXPERT SYSTEMS WITH APPLICATIONS | 2023 |
| Automated Natural Language Processing-Based Supplier Discovery for Financial Services on BIG DATA | 2023 |
| XGDAG: explainable gene–disease associations via graph neural networks on BIOINFORMATICS | 2023 |