58 citations · 174 across the 42 of their papers we have counts for
42 papers
Unsharp Measurement with Adaptive Gaussian POVMs for Quantum-Inspired Image Processing
Debashis Saikia, Bikash K. Behera, Mayukha Pal +1
We propose a data-adaptive probabilistic intensity remapping framework for structure-preserving transformation of grayscale images. The suggested method formulates intensity transf…
FaultXformer: A Transformer-Encoder Based Fault Classification and Location Identification model in PMU-Integrated Active Electrical Distribution System
Kriti Thakur, Alivelu Manga Parimi, Mayukha Pal
Accurate fault detection and localization in electrical distribution systems is crucial, especially with the increasing integration of distributed energy resources (DERs), which in…
Data-Driven Linearization based Arc Fault Prediction in Medium Voltage Electrical Distribution System
Mihir Sinha, Kriti Thakur, Prasanta K. Panigrahi +2
High-impedance arc faults (HIAFs) in medium-voltage electrical distribution systems are difficult to detect due to their low fault current levels and nonlinear transient behavior.…
Fault Detection in Electrical Distribution System using Autoencoders
Sidharthenee Nayak, Victor Sam Moses Babu, Chandrashekhar Narayan Bhende +2
In recent times, there has been considerable interest in fault detection within electrical power systems, garnering attention from both academic researchers and industry profession…
SMART SLM: Structured Memory and Reasoning Transformer, A Small Language Model for Accurate Document Assistance
Divij Dudeja, Mayukha Pal
The user of Engineering Manuals (EM) finds it difficult to read EM s because they are long, have a dense format which includes written documents, step by step procedures, and stand…
Game Theoretic Resilience Recommendation Framework for CyberPhysical Microgrids Using Hypergraph MetaLearning
S Krishna Niketh, Prasanta K Panigrahi, V Vignesh +1
This paper presents a physics-aware cyberphysical resilience framework for radial microgrids under coordinated cyberattacks. The proposed approach models the attacker through a hyp…
Game-Theoretic Resilience Framework for Cyber-Physical Microgrids using Multi-Agent Reinforcement Learning
S Krishna Niketh, Sagar Babu Mitikiri, V Vignesh +2
The increasing reliance on cyber physical infrastructure in modern power systems has amplified the risk of targeted cyber attacks, necessitating robust and adaptive resilience stra…
Discerning and quantifying high frequency activities in EEG under normal and epileptic conditions
Jyotiraj Nath, Shreya Banerjee, Bhaswati Singha Deo +2
We investigate the nature of the modifications in the temporal dynamics manifested in the high-frequency EEG spectra of the normal human brain in comparison to the diseased brain u…
Fed-Meta-Align: A Similarity-Aware Aggregation and Personalization Pipeline for Federated TinyML on Heterogeneous Data
Hemanth Macharla, Mayukha Pal
Real-time fault classification in resource-constrained Internet of Things (IoT) devices is critical for industrial safety, yet training robust models in such heterogeneous environm…
Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation
Aniket Johri, Divyanshi Dwivedi, Mayukha Pal
The increasing vulnerability of electrical distribution systems to extreme weather events and cyber threats necessitates the development of economically viable frameworks for resil…
Contextual Graph Transformer: A Small Language Model for Enhanced Engineering Document Information Extraction
Karan Reddy, Mayukha Pal
Standard transformer-based language models, while powerful for general text, often struggle with the fine-grained syntax and entity relationships in complex technical, engineering…
Causality and Interpretability for Electrical Distribution System faults
Karthik Peddi, Sai Ram Aditya Parisineni, Hemanth Macharla +1
Causal analysis helps us understand variables that are responsible for system failures. This improves fault detection and makes system more reliable. In this work, we present a new…
Lightweight Transformer-Driven Segmentation of Hotspots and Snail Trails in Solar PV Thermal Imagery
Deepak Joshi, Mayukha Pal
Accurate detection of defects such as hotspots and snail trails in photovoltaic modules is essential for maintaining energy efficiency and system reliablility. This work presents a…
An Explainable Equity-Aware P2P Energy Trading Framework for Socio-Economically Diverse Microgrid
Abhijan Theja, Mayukha Pal
Fair and dynamic energy allocation in community microgrids remains a critical challenge, particularly when serving socio-economically diverse participants. Static optimization and…
OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases
Yash Tiwari, Owais Ahmad Lone, Mayukha Pal
Ontologies are pivotal for structuring knowledge bases to enhance question answering (QA) systems powered by Large Language Models (LLMs). However, traditional ontology creation re…
Methodology for Detecting Energy Anomalies due to Multi-Replay Attacks on Electric Vehicle Charging Infrastructure
Sagar Babu Mitikiri, Vedantham Lakshmi Srinivas, Mayukha Pal
The increasing deployment of Electric Vehicle Charging Infrastructures (EVCIs) introduces cybersecurity challenges, particularly due to inherent vulnerabilities, making them suscep…
Physics-Informed Neural Network-Based Control for Grid-Forming Converter's Stability Under Overload Conditions
Abhay Kumar, Dushyant Sharma, Mayukha Pal
Grid-forming converters (GFCs) are crucial for frequency and voltage stability in modern power systems. However, their performance under overload conditions remains a challenge. Th…
Integrated Optimization and Game Theory Framework for Fair Cost Allocation in Community Microgrids
K. Victor Sam Moses Babu, Pratyush Chakraborty, Mayukha Pal
Fair cost allocation in community microgrids remains a significant challenge due to the complex interactions between multiple participants with varying load profiles, distributed e…
Demand Response Optimization MILP Framework for Microgrids with DERs
K. Victor Sam Moses Babu, Pratyush Chakraborty, Mayukha Pal
The integration of renewable energy sources in microgrids introduces significant operational challenges due to their intermittent nature and the mismatch between generation and dem…
Enhanced Rapid Detection of High-impedance Arc Faults in Medium Voltage Electrical Distribution Networks
Kriti Thakur, Divyanshi Dwivedi, K. Victor Sam Moses Babu +5
High-impedance arc faults in AC power systems have the potential to lead to catastrophic accidents. However, significant challenges exist in identifying these faults because of the…
A Comprehensive Metric for Resilience Evaluation of Power Distribution Systems under Cyber Attacks
Mitikiri Sagar Babu, Victor Sam Moses Babu, Vedantham Lakshmi Srinivas +2
Power distribution systems (PDS) serve as the backbone of our modern society, ensuring electricity reaches homes, businesses, and critical infrastructure. However, the increasing d…
Detection of High-Impedance Low-Current Arc Faults at Electrical Substations
K. Victor Sam Moses Babu, Divyanshi Dwivedi, Marcelo Esteban Valdes +3
Arcing faults in low voltage (LV) distribution systems associated with arc-flash risk and potentially significant equipment damage are notoriously difficult to detect under some co…
Efficient Fault Detection and Categorization in Electrical Distribution Systems Using Hessian Locally Linear Embedding on Measurement Data
Victor Sam Moses Babu K., Sidharthenee Nayak, Divyanshi Dwivedi +4
Faults on electrical power lines could severely compromise both the reliability and safety of power systems, leading to unstable power delivery and increased outage risks. They pos…
Fault Classification in Electrical Distribution Systems using Grassmann Manifold
Victor Sam Moses Babu K., Sidharthenee Nayak, Divyanshi Dwivedi +4
Electrical fault classification is vital for ensuring the reliability and safety of power systems. Accurate and efficient fault classification methods are essential for timely and…