Aris Anagnostopoulos

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.