Our Team

Professor Achilleas Anastasopoulos is a distinguished researcher in electrical engineering, communication systems, and networked decision processes. As an Associate Professor of Electrical and Computer Engineering, he specializes in the analytical foundations that govern modern information and communication technologies. At The Standard School of Machine Learning (TheSSML), he brings deep expertise in dynamic games, mechanism design, information theory, and capacity-achieving communication strategies—core areas shaping next-generation intelligent networks.

Professor Anastasopoulos’s work explores resource allocation in networked systems, focusing on how strategic interactions, incentives, and dynamic game-theoretic structures influence system performance. His research also addresses fundamental quality-of-service (QoS) limits in multiuser communication environments, offering insights critical for designing reliable, efficient, and scalable network architectures. In communication theory, he develops capacity-achieving transmission schemes for noisy channels, contributing to the foundational science behind robust communication protocols, modern wireless systems, and distributed intelligent technologies.

At TheSSML, Professor Anastasopoulos integrates these theoretical frameworks with machine learning and data-driven methods. His expertise equips students to understand how intelligent systems operate under real-world constraints such as noise, interference, limited resources, and strategic behavior—knowledge essential for designing trustworthy AI-enabled networks, smart infrastructures, and resilient communication platforms.

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