Leandros Tassiulas

Leandros Tassiulas is the John C. Malone Professor of Electrical Engineering at Yale University, with additional appointments in Computer Science. His career spans faculty positions at the University of Thessaly, University of Maryland, University of Ioannina, and Polytechnic University. A Fellow of both IEEE (2007) and ACM (2020), he is renowned for contributions to network control theory, including the max-weight scheduling algorithm and back-pressure network policy.

• PhD in Electrical Engineering (1991) from the University of Maryland, College Park

His research focuses on computer and communication networks, emphasizing mathematical models for complex networks, wireless system architectures, stochastic systems, and energy-efficient network design. Recent work explores quantum networking (Pant et al., 2019) and federated learning in edge environments (Jiang et al., 2022).

Key publication trends include stability analysis (earlier works), mobile edge computing (2019), software-defined networking (2021), and smart grid optimization (2012-2013). The list includes monographs on network theory and patents for distributed bandwidth allocation (2011) and directional antenna protocols (2002).

Scientific Awards

• ACM Fellow (2020) for network control contributions
• IEEE Koji Kobayashi Award (2016) for scheduling/stability analysis
• IEEE INFOCOM Achievement Award (2007) for resource allocation
• Bodossaki Foundation Prize (1999) for distributed systems
• NSF CAREER, ONR Young Investigator, and multiple best paper awards

His work has been funded by the NSF, ONR, and IBM. Current projects bridge AI, quantum communication, and next-generation network architectures.