53 citations · 135 across the 21 of their papers we have counts for
23 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…
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…
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…
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…
Augmented Intelligence in Smart Intersections: Local Digital Twins-Assisted Hybrid Autonomous Driving
Kui Wang, Kazuma Nonomura, Zongdian Li +6
Vehicle-road collaboration is a promising approach for enhancing the safety and efficiency of autonomous driving by extending the intelligence of onboard systems to smart roadside…
Hypergame Theory for Decentralized Resource Allocation in Multi-user Semantic Communications
Christo Kurisummoottil Thomas, Walid Saad
Semantic communications (SC) is an emerging communication paradigm in which wireless devices can send only relevant information from a source of data while relying on computing res…
Semantic Communication for the Internet of Sounds: Architecture, Design Principles, and Challenges
Chengsi Liang, Yao Sun, Christo Kurisummoottil Thomas +2
The Internet of Sounds (IoS) combines sound sensing, processing, and transmission techniques, enabling collaboration among diverse sound devices. To achieve perceptual quality of s…
On the Computing and Communication Tradeoff in Reasoning-Based Multi-User Semantic Communications
Nitisha Singh, Christo Kurisummoottil Thomas, Walid Saad +1
Semantic communication (SC) is recognized as a promising approach for enabling reliable communication with minimal data transfer while maintaining seamless connectivity for a group…
A Comprehensive Tutorial and Survey of O-RAN: Exploring Slicing-aware Architecture, Deployment Options, Use Cases, and Challenges
Khurshid Alam, Mohammad Asif Habibi, Matthias Tammen +8
Open-radio access network (O-RAN) seeks to establish the principles of openness, programmability, automation, intelligence, and hardware-software disaggregation with interoperable…
Artificial General Intelligence (AGI)-Native Wireless Systems: A Journey Beyond 6G
Walid Saad, Omar Hashash, Christo Kurisummoottil Thomas +4
Building future wireless systems that support services like digital twins (DTs) is challenging to achieve through advances to conventional technologies like meta-surfaces. While ar…
Smart Mobility Digital Twin Based Automated Vehicle Navigation System: A Proof of Concept
Kui Wang, Zongdian Li, Kazuma Nonomura +4
Digital twins (DTs) have driven major advancements across various industrial domains over the past two decades. With the rapid advancements in autonomous driving and vehicle-to-eve…
Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems
Shengzhe Xu, Christo Kurisummoottil Thomas, Omar Hashash +3
Large language models (LLMs) and foundation models have been recently touted as a game-changer for 6G systems. However, recent efforts on LLMs for wireless networks are limited to…
Digital Twins for Autonomous Driving: A Comprehensive Implementation and Demonstration
Kui Wang, Tao Yu, Zongdian Li +3
The concept of a digital twin (DT) plays a pivotal role in the ongoing digital transformation and has achieved significant strides for various wireless applications in recent years…
Internet of Federated Digital Twins (IoFDT): Connecting Twins Beyond Borders for Society 5.0
Tao Yu, Zongdian Li, Kei Sakaguchi +3
The concept of digital twin (DT), which enables the creation of a programmable, digital representation of physical systems, is expected to revolutionize future industries and will…
UAV-Aided Lifelong Learning for AoI and Energy Optimization in Non-Stationary IoT Networks
Zhenzhen Gong, Omar Hashash, Yingze Wang +4
In this paper, a novel joint energy and age of information (AoI) optimization framework for IoT devices in a non-stationary environment is presented. In particular, IoT devices tha…
Reasoning with the Theory of Mind for Pragmatic Semantic Communication
Christo Kurisummoottil Thomas, Emilio Calvanese Strinati, Walid Saad
In this paper, a pragmatic semantic communication framework that enables effective goal-oriented information sharing between two-intelligent agents is proposed. In particular, sema…