3 citations · 5 across the 20 of their papers we have counts for
11 papers · 1 filter
From Passive Mirrors to Active Agents: Holonic Digital Twins for Physical AI over Networks
Christo Kurisummoottil Thomas, Omar Hashash, Walid Saad
Despite advances in artificial intelligence (AI) across multiple sectors, today's AI tools, including deep learning and generative AI, still fail when embedded into physical system…
Compositional Semantic Communication for Physical AI: Category Theory Meets Game Theory
Christo Kurisummoottil Thomas, Walid Saad, Emilio Calvanese Strinati
Physical artificial intelligence (AI) systems involve distributed sensing agents with embedded AI models that must coordinate to perceive, reason, and act in networked environments…
Active Inference as the Test-Time Scaling Law for Physical AI Agents
Omar Hashash, Christo Kurisummoottil Thomas, Walid Saad +3
In this paper, a novel test-time scaling law for physical artificial intelligence (AI) agents is introduced. This scaling law enables physical AI agents to reason with their world…
Disentanglement with Holographic Reduced Representations
Jhonny J. Velasquez Olivera, Christo K. Thomas, Walid Saad
Disentanglement, the separation of factors of variation in data using neural networks, remains a long-standing challenge in machine learning. Prior work has addressed this problem…
Dynamic Hypergame for Task Assignment in Multi-platform Mobile Crowdsensing Under Incomplete Information
Sumedh J. Dongare, Christo Kurisummoottil Thomas, Andrea Ortiz +2
Mobile crowdsensing (MCS) is a promising distributed sensing paradigm for future wireless networks, where MCS platforms (MCSPs) recruit mobile units (MUs) through monetary incentiv…
Toward World Models for Epidemiology
Zeeshan Memon, Yiqi Su, Christo Kurisummoottil Thomas +3
World models have emerged as a unifying paradigm for learning latent dynamics, simulating counterfactual futures, and supporting planning under uncertainty. In this paper, we argue…
Semantic Communication for 6G Networks: A Trade-off between Distortion Criticality and Information Representability
Faizan Shafi, Rahul Jashvantbhai Pandya, Christo Kurisummoottil Thomas +1
In this work, a self-attention based conditional generative adversarial network (SA-cGAN) framework for the sixth generation (6G) semantic communication system is proposed, explici…
Jitter Performance Evaluation for Resilient Vehicular Systems
Pratiti Paul, Christo K. Thomas, Walid Saad +2
In this paper, the challenge of resilient vehicular communications is investigated for a vehicle-to-vehicle (V2V) wireless link subject to timing jitter induced by the stochastic e…
Neurosymbolic Learning for Advanced Persistent Threat Detection under Extreme Class Imbalance
Quhura Fathima, Neda Moghim, Mostafa Taghizade Firouzjaee +3
The growing deployment of Internet of Things (IoT) devices in smart cities and industrial environments increases vulnerability to stealthy, multi-stage advanced persistent threats…
Adversarial Data Modeling in Epidemiology
Yiqi Su, Christo Kurisummoottil Thomas, Walid Saad +3
Epidemiological models increasingly rely on crowdsourced, self-reported behavioral data such as vaccination status, mask usage, and social distancing adherence. This data, however,…
Fundamental Limits of Quantum Semantic Communication via Sheaf Cohomology
Christo Kurisummoottil Thomas, Mingzhe Chen
Semantic communication (SC) enables bandwidth-efficient coordination in multi-agent systems by transmitting meaning rather than raw bits. However, when agents employ heterogeneous…