Mark Crovella

Professor of Computer Science at Boston University

Mark Crovella is a distinguished American computer scientist and professor at Boston University. He holds dual appointments as Professor of Computer Science and Professor of Computing & Data Sciences.1 2

Academic Career and Leadership

Crovella has been with Boston University since 1994.3 He currently serves as the Chair of Academic Affairs for the Faculty of Computing & Data Sciences, overseeing the academic experience of CDS students, including degree programs and course offerings.2 From 2013 to 2018, he served as Chair of the Department of Computer Science.1 2

Research Focus

Crovella's research spans various fields, with data-centered approaches being a unifying theme. His work has focused on:

Improving the understanding, design, and performance of parallel and networked computer systems
Applying data mining, statistics, and performance evaluation to computer networks
Analyzing social, biological, and communication networks
Internet measurement and analysis
Data mining and machine learning
Computational biology

Recently, his research has explored the societal impacts of machine learning and ways to improve its social consequences.2

Achievements and Recognition

Professor Crovella has made significant contributions to his field:

Author of over 200 research publications with more than 25,000 citations
Co-author of the first text on Internet Measurement, "Internet Measurement: Infrastructure, Traffic, and Applications"
Holder of ten patents derived from his research
Recipient of numerous awards, including the 2010 ACM SIGMETRICS Test of Time award
Named ACM Fellow in 2010 and IEEE Fellow in 2012 for his contributions to network and distributed systems analysis
Served as chair of ACM SIGCOMM from 2007 to 2009

Industry Experience

Beyond academia, Crovella has experience in industry. He worked as Chief Scientist for the data science startup Guavus, developing big data solutions for the telecommunications industry.2 3

Mark Crovella's extensive research, leadership roles, and industry experience have established him as a prominent figure in computer science and data sciences, particularly in the areas of network analysis and performance evaluation.