3 citations · 5 across the 20 of their papers we have counts for
22 papers
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…
Vision and Causal Learning Based Channel Estimation for THz Communications
Kitae Kim, Yan Kyaw Tun, Md. Shirajum Munir +3
The use of terahertz (THz) communications with massive multiple input multiple output (MIMO) systems in 6G can potentially provide high data rates and low latency communications. H…
Towards Heterogeneous Quantum Federated Learning: Challenges and Solutions
Ratun Rahman, Dinh C. Nguyen, Christo Kurisummoottil Thomas +1
Quantum federated learning (QFL) combines quantum computing and federated learning to enable decentralized model training while maintaining data privacy. QFL can improve computatio…
Semantic Communication with Hopfield Memories
Karim Nasreddine, Christo Kurisummoottil Thomas, Walid Saad
Traditional joint source-channel coding employs static learned semantic representations that cannot dynamically adapt to evolving source distributions. Shared semantic memories bet…
Causal Model-Based Reinforcement Learning for Sample-Efficient IoT Channel Access
Aswin Arun, Christo Kurisummoottil Thomas, Rimalpudi Sarvendranath +1
Despite the advantages of multi-agent reinforcement learning (MARL) for wireless use case such as medium access control (MAC), their real-world deployment in Internet of Things (Io…
Next-Generation Sustainable Wireless Systems: Energy Efficiency Meets Environmental Impact
Christo Kurisummoottil Thomas, Omar Hashash, Kimia Ehsani +1
Aligning with the global mandates pushing towards advanced technologies with reduced resource consumption and environmental impacts, the sustainability of wireless networks becomes…
Flexible Semantic-Aware Resource Allocation: Serving More Users Through Similarity Range Constraints
Nasrin Gholami, Neda Moghim, Behrouz Shahgholi Ghahfarokhi +4
Semantic communication (SemCom) aims to enhance the resource efficiency of next-generation networks by transmitting the underlying meaning of messages, focusing on information rele…
Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences
Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi +132
This white paper discusses the role of large-scale AI in the telecommunications industry, with a specific focus on the potential of generative AI to revolutionize network functions…
Joint Beamforming and 3D Location Optimization for Multi-User Holographic UAV Communications
Chandan Kumar Sheemar, Asad Mahmood, Christo Kurisummoottil Thomas +4
This paper pioneers the field of multi-user holographic unmanned aerial vehicle (UAV) communications, laying a solid foundation for future innovations in next-generation aerial wir…
Joint Holographic Beamforming and User Scheduling with Individual QoS Constraints
Chandan Kumar Sheemar, Christo Kurisummoottil Thomas, George C. Alexandropoulos +3
Reconfigurable holographic surfaces (RHS) have emerged as a transformative material technology, enabling dynamic control of electromagnetic waves to generate versatile holographic…
Causal Semantic Communication for Digital Twins: A Generalizable Imitation Learning Approach
Christo Kurisummoottil Thomas, Walid Saad, Yong Xiao
A digital twin (DT) leverages a virtual representation of the physical world, along with communication (e.g., 6G), computing (e.g., edge computing), and artificial intelligence (AI…
Neuro-Symbolic Causal Reasoning Meets Signaling Game for Emergent Semantic Communications
Christo Kurisummoottil Thomas, Walid Saad
Semantic communication (SC) aims to communicate reliably with minimal data transfer while simultaneously providing seamless connectivity to heterogeneous services and users. In thi…