Panos Kypros Chrysanthis

Panos Kypros Chrysanthis is a Professor of Computer Science at the University of Pittsburgh's School of Computing and Information, where he directs the Advanced Data Management Technologies Lab (ADMT Lab). He also holds adjunct professorships at Carnegie Mellon University and the University of Cyprus.

Education:

• BS in Physics with concentration in Computer Science, University of Athens (1982)
• MS in Computer and Information Sciences, University of Massachusetts Amherst (1986)
• PhD in Computer and Information Sciences, University of Massachusetts Amherst (1991)

Research Focus: Chrysanthis pioneers innovations in data management systems, with core expertise in Big Data, distributed/mobile computing, and real-time analytics. His work bridges theoretical advances with practical applications in sensor networks, workflow management, and urban data exploration, emphasizing architecture-aware optimizations and user-centric interfaces for complex data environments.

Publication Trends: Recent works (2016-2018) reveal a strategic shift toward interactive data exploration, where his team develops frameworks for visual query recommendation (MuVE, REQUEST), architecture-aware graph processing (ARGO, PARAGON), and energy-conscious computing. These contributions address critical gaps in scalability, latency, and usability for modern data-intensive systems.

Scientific Recognition:

• NSF CAREER Award (1995) for mobile data management
• ACM Distinguished Scientist and IEEE Senior Member
• Seven teaching awards and 2015 Provost Award for Excellence in Mentoring

Funding & Leadership: Secured $1.8M NIH U01 grant for causal discovery in TOPMed data and multiple NSF awards. As Program Co-Chair for ICDE 2018 and General Co-Chair for BIRTE 2018, he shapes community standards while mentoring doctoral students through the ADMT Lab.

Research Infrastructure: Founded the ADMT Lab in 1996 (celebrating 25 years in 2021), creating a hub for cutting-edge data management research with strong industry-academic partnerships focused on real-world deployment challenges.