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Azer Bestavros is a Professor in the Computer Science Department at Boston University, which he joined in 1991 and chaired from 2000 to 2007. He is the Founding Director of the BU Hariri Institute for Computing and Computational Science & Engineering, which was set up in 2010 to "create and sustain a community of scholars who believe in the transformative potential of computational perspectives in research and education." He is the Co-Chair of the Council on Educational Technology & Learning Innovation, which was set up in 2012 to develop BU's strategy as it relates to leveraging on-line technology in on-campus, residential programs.

Azer Bestavros pursues research in the broad areas of networking and real-time embedded systems. His contributions include pioneering the push web content distribution model adopted years later by CDNs, seminal work on Internet and web characterization, and work on formal verification of networks and systems. As of January 2013, funded by over $18M of grants from government agencies and industrial labs, his research work yielded 16 PhD theses, 4 issued patents, 2 startup companies, and hundreds of refereed papers that are cited over 12,500 times according to Google Scholar.

Azer Bestavros is the former chair of the IEEE Computer Society TC on the Internet, served on the program committees and editorial boards of major conferences and journals in networking and real-time systems, and received a number of distinguished service awards and best papers awards from both the ACM and the IEEE. In 2010, he received the United Methodist Scholar Teacher Award in recognition of "outstanding dedication and contributions to the learning arts and to the institution" at Boston University, and the ACM Sigmetrics Inaugural Test of Time Award for his 1996 paper (with M. Crovella) on the self similarity of Internet traffic "whose impact is still felt 10-15 years after its initial publication."

Azer Bestavros obtained his PhD in Computer Science in 1992 from Harvard University, under Thomas E. Cheatham, one of the "roots" of the academic genealogy of applied computer scientists.