495 citations · 611 across the 24 of their papers we have counts for
28 papers
HXAI: Hierarchical Privacy-Preserving Explainable AI in Distributed Energy Systems
Poushali Sengupta, Sabita Maharjan, Frank Eliassen +1
Balancing electricity demand and supply is increasingly difficult due to the inherent intermittency of renewable power generation and the stochastic power consumption. Grid operato…
MCIR: A Feature Dependence-Aware Explainability Method with Reliability Guarantees
Poushali Sengupta, Sabita Maharjan, Frank Eliassen +2
Modern machine-learning models often contain strongly dependent or redundant features, making feature attribution difficult because shared predictive information can be distributed…
Token Communications (TokCom): A Unified AI-Native Communication Framework
Yaru Fu, Liang Ji, Sabita Maharjan +1
As artificial intelligence (AI) evolves from static perception to generative reasoning and autonomous agency, the fundamental principles of wireless communications are undergoing a…
X-NegoBox: An Explainable Privacy-Budget Negotiation Framework for Secure Peer-to-Peer Energy Data Exchange
Poushali Sengupta, Sabita Maharjan, Frank Eliassen +1
The decentralization of modern energy systems is transforming consumers into prosumers who continuously exchange data with aggregators, peers, and market operators. While such data…
Reliable Explanations or Random Noise? A Reliability Metric for XAI
Poushali Sengupta, Sabita Maharjan, Frank Eliassen +2
In recent years, explaining decisions made by complex machine learning models has become essential in high-stakes domains such as energy systems, healthcare, finance, and autonomou…
Context Dependence and Reliability in Autoregressive Language Models
Poushali Sengupta, Shashi Raj Pandey, Sabita Maharjan +1
Large language models (LLMs) generate outputs by utilizing extensive context, which often includes redundant information from prompts, retrieved passages, and interaction history.…
Adaptive Quantum-Safe Cryptography for 6G Vehicular Networks via Context-Aware Optimization
Poushali Sengupta, Mayank Raikwar, Sabita Maharjan +2
Powerful quantum computers in the future may be able to break the security used for communication between vehicles and other devices (Vehicle-to-Everything, or V2X). New security m…
Adaptive Robust Control for Uncertain Systems with Ellipsoid-Set Learning
Xuehui Ma, Shiliang Zhang, Zhiyong Sun +2
Despite the celebrated success of stochastic control approaches for uncertain systems, such approaches are limited in the ability to handle non-Gaussian uncertainties. This work pr…
Explainability of Complex AI Models with Correlation Impact Ratio
Poushali Sengupta, Rabindra Khadka, Sabita Maharjan +5
Complex AI systems make better predictions but often lack transparency, limiting trustworthiness, interpretability, and safe deployment. Common post hoc AI explainers, such as LIME…
Cenergy3: An API for City Energy 3D Modeling
Shiliang Zhang, Sabita Maharjan
The efficient management and planning of urban energy systems require integrated three-dimensional (3D) models that accurately represent both consumption nodes and distribution net…
Correlation-Aware Feature Attribution Based Explainable AI
Poushali Sengupta, Yan Zhang, Frank Eliassen +1
Explainable AI (XAI) is increasingly essential as modern models become more complex and high-stakes applications demand transparency, trust, and regulatory compliance. Existing glo…
Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System
Poushali Sengupta, Sabita Maharjan, frank Eliassen +1
Location-based vehicular traffic management faces significant challenges in protecting sensitive geographical data while maintaining utility for traffic management and fairness acr…
Data Sharing, Privacy and Security Considerations in the Energy Sector: A Review from Technical Landscape to Regulatory Specifications
Shiliang Zhang, Sabita Maharjan, Lee Andrew Bygrave +1
Decarbonization, decentralization and digitalization are the three key elements driving the twin energy transition. The energy system is evolving to a more data driven ecosystem, l…
Privacy-preserving transactive energy systems: Key topics and open research challenges
Daniel Gerbi Duguma, Juliana Zhang, Meysam Aboutalebi +20
This manuscript aims to formalize and conclude the discussions initiated during the PriTEM workshop 22-23 March 2023. We present important ideas and discussion topics in the contex…
Balancing Explainability-Accuracy of Complex Models
Poushali Sengupta, Yan Zhang, Sabita Maharjan +1
Explainability of AI models is an important topic that can have a significant impact in all domains and applications from autonomous driving to healthcare. The existing approaches…
Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks
Yueyue Dai, Du Xu, Ke Zhang +2
Vehicular Edge Computing (VEC) is a promising paradigm to enable huge amount of data and multimedia content to be cached in proximity to vehicles. However, high mobility of vehicle…
Edge Intelligence for Energy-efficient Computation Offloading and Resource Allocation in 5G Beyond
Yueyue Dai, Ke Zhang, Sabita Maharjan +1
5G beyond is an end-edge-cloud orchestrated network that can exploit heterogeneous capabilities of the end devices, edge servers, and the cloud and thus has the potential to enable…
Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks
Yueyue Dai, Ke Zhang, Sabita Maharjan +1
The rapid development of Industrial Internet of Things (IIoT) requires industrial production towards digitalization to improve network efficiency. Digital Twin is a promising techn…
Low-latency Federated Learning and Blockchain for Edge Association in Digital Twin empowered 6G Networks
Yunlong Lu, Xiaohong Huang, Ke Zhang +2
Emerging technologies such as digital twins and 6th Generation mobile networks (6G) have accelerated the realization of edge intelligence in Industrial Internet of Things (IIoT). T…
Edge Intelligence Empowered UAVs for Automated Wind Farm Monitoring in Smart Grids
Hwei-Ming Chung, Sabita Maharjan, Yan Zhang +2
With the exploitation of wind power, more turbines will be deployed at remote areas possibly with harsh working conditions (e.g., offshore wind farm). The adverse working environme…
Distributed Deep Reinforcement Learning for Intelligent Load Scheduling in Residential Smart Grids
Hwei-Ming Chung, Sabita Maharjan, Yan Zhang +1
The power consumption of households has been constantly growing over the years. To cope with this growth, intelligent management of the consumption profile of the households is nec…
Intelligent Charging Management of Electric Vehicles Considering Dynamic User Behavior and Renewable Energy: A Stochastic Game Approach
Hwei-Ming Chung, Sabita Maharjan, Yan Zhang +1
Uncoordinated charging of a rapidly growing number of electric vehicles (EVs) and the uncertainty associated with renewable energy resources may constitute a critical issue for the…
Placement and Routing Optimization for Automated Inspection with UAVs: A Study in Offshore Wind Farm
Hwei-Ming Chung, Sabita Maharjan, Yan Zhang +2
Wind power is a clean and widely deployed alternative to reducing our dependence on fossil fuel power generation. Under this trend, more turbines will be installed in wind farms. H…
Vehicular Edge Computing and Networking: A Survey
Lei Liu, Chen Chen, Qingqi Pei +2
As one key enabler of Intelligent Transportation System (ITS), Vehicular Ad Hoc Network (VANET) has received remarkable interest from academia and industry. The emerging vehicular…