13 citations · 15 across the 61 of their papers we have counts for
67 papers
Adversary-as-Agents: A Co-Evolutionary Agent-Based Threat-Modelling Framework for Wireless and Mobile Networks
I. Dey, M. K. Hassan, S. Ghosh +1
Threat modelling for wireless and mobile networks is dominated by static, catalogue-driven methods that fix the adversary in advance and never ask whether an attack is feasible aga…
Where to Decide: Control-Plane Geometry in Coherence-Limited Quantum Networks
I. Dey, N. Marchetti
Quantum networks are usually framed by two hardware limits: how fast entanglement can be heralded, and how long a memory can hold it. We establish a third, geometric limit: entangl…
Identifiability in Quantum State, Process, and Network Tomography
Athira Kalavampara Raghunadhan, Matheus Guedes De Andrade, Don Towsley +3
Quantum State Tomography (QST), Quantum Process Tomography (QPT), and Quantum Network Tomography (QNT) are related parameter-estimation problems that aim to reconstruct different p…
Identifiability and Estimation Precision in Quantum Network Tomography with Imperfect Bell-State Measurements
Athira Kalavampara Raghunadhan, Matheus Guedes De Andrade, Don Towsley +3
We study Quantum Network Tomography (QNT) for end-to-end link-error characterization under imperfect Bell-state measurements (BSMs), where multiplicative coupling between link and…
Velocity Index Modulation for Movable Antenna Systems
Yan Zhang, Indrakshi Dey, Shuaishuai Han +2
In movable antenna (MA) systems, antenna movement induces Doppler frequency shifts that are conventionally treated as an impairment requiring mitigation. In this paper, we propose…
CRT-Decomposed -Protocols for CSIDH
I. Dey, I. Cherkaoui
We construct a zero-knowledge proof of knowledge for the CSIDH group action that exploits the Chinese Remainder Theorem (CRT) structure of the ideal class group, available whenever…
Deterministic Johnson--Lindenstrauss Projections from Pisot -Transformations for Zero-Knowledge Private Routing
I. Dey, I. Cherkaoui
Zero-knowledge (ZK) proofs certify that a message belongs to an allowed semantic class without revealing the message, but the certificate compares a high-dimensional embedding agai…
EBGT: Epistemology-aided Bayesian Game Theory for Uplink Power Control in Stochastically Distributed IoT Tiers
Nirmal D. Wickramasinghe, Indrakshi Dey, Dirk Pesch +1
Uplink power control in dense, heterogeneous Internet-of-Things (IoT) tiers is fundamentally limited by incomplete channel-state information (CSI) and mutual interference, while lo…
Certifying Collective Reasoning in Multi-Agent Systems via Koopman Spectral Analysis
Nuzhat Khan, Indrakshi Dey
Orchestrated collectives of large language model (LLM) agents that debate and vote are an emerging form of computational intelligence: the intelligent behaviour resides in the \emp…
A Conductance Based Amygdala Model of Threat Processing in Anxiety and Depression
Malik Faizan, P. J. White, Indrakshi Dey
Anxiety and depressive disorders are increasingly viewed as dysregulations along continuous stress-regulatory dimensions. However, existing computational approaches seldom connect…
Degeneracy-Aware Resource Allocation for Resilient 6G RAN
Sayanti Ghosh, Indrakshi Dey, Nicola Marchetti
Heterogeneous 6G radio access networks (RANs) must allocate resources reliably under interference, latency limits, imperfect channel state information (CSI), and architectural dive…
Advances in Wavelet Denoising for Communication Signals: From Parameter Selection Toward Data-Driven Optimization
Priyalakshmi Sheela, Indrakshi Dey
Wavelet denoising suppresses nonstationary, impulsive, and interference-like disturbances in communication signals, but efficacy depends on coupled choices of transform, mother wav…
Drift-Aware RL-based Wavelet Denoising for Network-Traffic Anomaly Detection
Priyalakshmi Sheela, Indrakshi Dey
Traffic-utilisation measurements for network monitoring are corrupted by additive noise and statistical drift: time-dependent change in the signal's mean, variance, distributional…
Macro--Micro Decision-Making in 6G Networks: An Agent-Based Framework for the Resource-Fungibility Landscape Resource-Fungibility Landscape
Sayanti Ghosh, Indrakshi Dey, Nicola Marchetti
A defining feature of 6G networks is that performance depends not only on the quantity of available resources (e.g., spectrum, antennas, cache memory, compute, and fronthaul bandwi…
Adaptive Utility driven Resource Orchestration for Resilient AI (AURORA-AI)
Rahul Umesh Mhapsekar, Ilias Cherkaoui, Lizy Abraham +1
Modern AI systems are increasingly deployed under non-stationary computational, demographic, and operational conditions in which static resource allocation strategies degrade both…
Degeneracy-Aware Resilient Resource Allocation in Cell-Free Cache-Aided MU-MIMO Networks
Sayanti Ghosh, Indrakshi Dey, Nicola Marchetti
Cell-free cache-aided multi-user multiple-input-multiple-output (MIMO) (CF-CA-MU-MIMO) networks improve spectral efficiency through coded multicast delivery and distributed spatial…
Optimal Illumination via Joint Movement and Phase Optimization for Movable Antenna-RIS Configuration
Yan Zhang, Nicola Marchetti, Indrakshi Dey
Reconfigurable intelligent surfaces (RIS) enable programmable control of wireless propagation but remain vulnerable to persistent deep fades in static deployments. This paper intro…
UAV-based Energy-Efficient Data Collection in Smart Grids with ISAC QoS Guarantees
Yibin Xie, Jin Zhao, Indrakshi Dey +1
Dynamic line rating (DLR) is a methodology that requires timely monitoring data to determine the real-time ampacity of power lines. However, DLR monitoring devices (MD) are vulnera…
Adaptive RSMA-OMA for Resilient MIMO Networks Under Imperfect CSI and SIC
Sayanti Ghosh, Indrakshi Dey, Nicola Marchetti
This paper addresses the challenge of power control in Rate-Splitting Multiple Access (RSMA) systems for downlink Multi-Input Multi-Output (MIMO) networks under practical impairmen…
Graph-Spectral Fusion of Wavelet Packets and Higher-Order Statistics for Anomaly Detection in Industrial IoT Networks
Surya Jayakumar, Indrakshi Dey
Industrial Internet of Things (IIoT) networks demand reliable anomaly detection under harsh wireless conditions, yet most detectors fail on four fronts: hostile fading, stealthy no…
Degeneracy-Aware Agent-Based Resource Allocation for Multi-User MIMO RSMA Network
Sayanti Ghosh, Indrakshi Dey, Nicola Marchetti
This paper proposes a pilot-aware, degeneracy-driven Agent-Based Modelling (ABM) framework for distributed resource allocation in RSMA-enabled multi-user MIMO systems under imperfe…
Degeneracy-Aware Functional and Algorithmic Resilience in Virtualized 6G Networks Under Correlated Failures
Mohamed Khalafalla Hassan, Indrakshi Dey
Redundancy is widely used to sustain service continuity in programmable and virtualized networks; however, replicated functions often share platforms, software stacks, and control…
Agent-Based Modeling of Low-Emission Fertilizer Adoption for Dairy Farm Decarbonisation using Empirical Farm Data
Surya Jayakumar, Kieran Sullivan, John McLaughlin +2
To understand complex system dynamics in dairy farming requires tools that capture farm heterogeneity, social interactions, and cumulative environmental impacts. This study propose…
Learnability, Identifiability, and Monitor Placement in Quantum Network Tomography
Athira Kalavampara Raghunadhan, Matheus Guedes De Andrade, Don Towsley +3
Reliable quantum communication requires accurate characterization of the quantum links. This paper studies Quantum Network Tomography (QNT) under limited monitoring resources, wher…