M. Girish Chandra

According to our database1, M. Girish Chandra authored at least 88 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Phase-Based Approaches for Rapid Construction of Magnetic Fields in NV Magnetometry.
CoRR, 2024

<i>i</i>Trust: Trust-Region Optimisation with Ising Machines.
CoRR, 2024

Ellora: Exploring Low-Power OFDM-based Radar Processors using Approximate Computing.
Proceedings of the 15th IEEE Latin America Symposium on Circuits and Systems, 2024

Multi-Modal Image Super-Resolution via Deep Convolutional Transform Learning.
Proceedings of the 32nd European Signal Processing Conference, 2024

MetQuan - A Comprehensive Toolkit for Variational Quantum Sensing and Metrology.
Proceedings of the 16th International Conference on COMmunication Systems & NETworkS, 2024

Quantum-Enhanced Resilient Reinforcement Learning Using Causal Inference.
Proceedings of the 16th International Conference on COMmunication Systems & NETworkS, 2024

Novel Objective Function and Expectation Value Estimation Method for the Variational Quantum Singular Value Decomposition Algorithm.
Proceedings of the 16th International Conference on COMmunication Systems & NETworkS, 2024

Generative Learning with Qopula Circuits.
Proceedings of the 16th International Conference on COMmunication Systems & NETworkS, 2024

Time-Series Forecasting Using Continuous Variables-Based Quantum Neural Networks.
Proceedings of the 16th International Conference on COMmunication Systems & NETworkS, 2024

2023
Quantum Machine Learning with Quantum Topological Data Analysis.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Efficient and Flexible Annealer-Gate Hybrid Model for Solving Large-Scale Portfolio Optimization.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Quantum-Enhanced Topological Data Analysis: A Peep from an Implementation Perspective.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Unsupervised Domain Adaptation via Subspace Interpolating Deep Dictionary Learning: A Case Study in Machine Inspection.
Proceedings of the IEEE International Conference on Acoustics, 2023

Label-Consistent Convolutional Dictionary Learning for Machine Inspection.
Proceedings of the 31st European Signal Processing Conference, 2023

Graph Assisted Unsupervised Domain Adaptation for Machine Fault Diagnosis.
Proceedings of the 31st European Signal Processing Conference, 2023

Transform Based Subspace Interpolation for Unsupervised Domain Adaptation Applied to Machine Inspection.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Resilience to denial-of-service and integrity attacks: A structured systems approach.
Eur. J. Control, 2022

An effective electrical load disaggregation approach for low-sampled smart meter data.
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

CycleGAN Based Unsupervised Domain Adaptation for Machine Fault Diagnosis.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Optimization of Sensor-Placement on Vehicles using Quantum-Classical Hybrid Methods.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

On Quantum-Assisted LDPC Decoding Augmented with Classical Post-processing.
Proceedings of the Parallel Processing and Applied Mathematics, 2022

A Quantum-Classical Hybrid Method for Image Classification and Segmentation.
Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

On Quantum-Enhanced LDPC Decoding for Rayleigh Fading Channels.
Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

On Classifying Images using Quantum Image Representation.
Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

DeepDive: Deep Latent Factor Model for Enhancing Diversity in Recommender Systems.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021
A representational learning assisted matrix factorization approach for electrical load disaggregation.
Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021

On Generating a Probability Distribution Amenable to NISQ Using Modifications to Grover's Algorithm.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2021

On a Possible Quantum Variational Autoencoder Circuit.
Proceedings of the International Joint Conference on Neural Networks, 2021

AutoFuse: A Semi-supervised Autoencoder based Multi-Sensor Fusion Framework.
Proceedings of the International Joint Conference on Neural Networks, 2021

Joint Coupled Transform Learning Framework for Multimodal Image Super-Resolution.
Proceedings of the IEEE International Conference on Acoustics, 2021

Multi-Sensor Fusion Framework using Discriminative Autoencoders.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Multi-Label Auto-Encoder based Electrical Load Disaggregation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Blink rate variability: a marker of sustained attention during a visual task.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

Deep Transform Learning for Multi-Sensor Fusion.
Proceedings of the 28th European Signal Processing Conference, 2020

Transform Learning Assisted Graph Signal Processing for Low Rate Electrical Load Disaggregation.
Proceedings of the 28th European Signal Processing Conference, 2020

Cognitive Fatigue Detection from EEG Signals using Topological Signal Processing.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Electrical Load Disaggregation using a two-stage deep learning approach.
Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

On Electrical Load Disaggregation using Recurrent Neural Networks.
Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

Transform Learning Based Function Approximation for Regression and Forecasting.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2019

A Scalable Long-Horizon Forecasting of Building Electricity Consumption.
Proceedings of the Advances in Computational Intelligence, 2019

Long-Term Forecasting of Heterogenous Variables with Automatic Algorithm Selection.
Proceedings of the Advances in Computational Intelligence, 2019

Enterprise System Response Time Prediction Using Non-stationary Function Approximations.
Proceedings of the Advances in Computational Intelligence, 2019

Near-Field Sub-Nyquist Source Localization via Uniform Linear Array.
Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

A software framework for procedural knowledge based collaborative data analytics for IoT.
Proceedings of the 1st International Workshop on Software Engineering Research & Practices for the Internet of Things, 2019

On Using Graph Signal Processing for Electrical Load Disaggregation.
Proceedings of the 26th International Conference on High Performance Computing, 2019

Low Sampling Rate Electrical Load Disaggregation Using Dictionary Representation and Graph Signal Smoothness.
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

2018
Tool Wear Prediction using Function Approximation Driven by Signal Processing.
Proceedings of the IECON 2018, 2018

A deployable electrical load forecasting solution for commercial buildings.
Proceedings of the IEEE International Conference on Industrial Technology, 2018

Regressing Kernel Dictionary Learning.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Sampling and Reconstruction of Band-limited Graph Signals using Graph Syndromes.
Proceedings of the 26th European Signal Processing Conference, 2018

Computationally Efficient Image Super Resolution from Totally Aliased Low Resolution Images.
Proceedings of the 26th European Signal Processing Conference, 2018

Efficient Ambiguity Resolution in Polarimetric Multi-View Stereo.
Proceedings of the 26th European Signal Processing Conference, 2018

Graph Structured Dictionary for Regression.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Joint frequency and 2-D DOA recovery with sub-Nyquist difference space-time array.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Disaggregated Forecasting for Large Office Buildings: Poster Abstract.
Proceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments, 2016

Energy Efficient GPS Acquisition with Sparse-GPS+: Poster Abstract.
Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems, SenSys 2016, 2016

Power system load data models and disaggregation based on sparse approximations.
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016

Joint frequency and direction of arrival estimation with space-time array.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

On efficient encoding of foreground objects using Hermitian Symmetric DFT codes.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016

Structural resilience of cyberphysical systems under attack.
Proceedings of the 2016 American Control Conference, 2016

Security and Privacy for Real Time Video Streaming Using Hierarchical Inner Product Encryption Based Publish-Subscribe Architecture.
Proceedings of the 30th International Conference on Advanced Information Networking and Applications Workshops, 2016

2015
Compressed Sensing Methods for DNA Microarrays, RNA Interference, and Metagenomics.
J. Comput. Biol., 2015

Sequential Multilinear Subspace Based Event Detection in Large Video Data Sequences.
Proceedings of the 22nd IEEE International Conference on High Performance Computing Workshops, 2015

JL Lemma Based Dimensionality Reduction: On Using CDS Based Partial Fourier Matrices.
Proceedings of the 22nd IEEE International Conference on High Performance Computing Workshops, 2015

2014
An Improved Tracking using IMU and Vision Fusion for Mobile Augmented Reality Applications.
CoRR, 2014

A Knowledge Based Approach for Disaggregation of Low Frequency Consumption Data.
Proceedings of the Advances in Signal Processing and Intelligent Recognition Systems, 2014

A learning approach for identification of refrigerator load from aggregate load signal.
Proceedings of the 2014 International Conference on Advances in Computing, 2014

Home Energy Simulation for Non-Intrusive Load Monitoring Applications.
Proceedings of the International Workshop on Engineering Simulations for Cyber-Physical Systems, 2014

MobiCoStream: Real-time collaborative video upstream for Mobile Augmented Reality applications.
Proceedings of the 2014 IEEE International Conference on Advanced Networks and Telecommuncations Systems, 2014

2013
A Framework for Non Intrusive Load Monitoring Using Bayesian Inference.
Proceedings of the Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, 2013

On electrical load disaggregation using factor graphs.
Proceedings of the International Conference on Advances in Computing, 2013

A Network Coding Based Framework for Construction of Systematic Minimum Bandwidth Regenerating (MBR) Codes for Distributed Storage.
Proceedings of the 19th International Conference on Management of Data, 2013

2011
A Mechanism for Detection of Gray Hole Attack in Mobile Ad Hoc Networks
CoRR, 2011

A Distributed Protocol for Detection of Packet Dropping Attack in Mobile Ad Hoc Networks
CoRR, 2011

QoS-enabled group communication in integrated VANET-LTE heterogeneous wireless networks.
Proceedings of the IEEE 7th International Conference on Wireless and Mobile Computing, 2011

Fixed-point implementation of isolated sub-word level speech recognition using hidden Markov models.
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

Guaranteed error correction based on Fourier Compressive Sensing and Projective Geometry.
Proceedings of the IEEE International Conference on Acoustics, 2011

A Real Time Surveillance System Using Wired and Wireless Sensor Networks by Multi-algorithmic Approach.
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

2010
Context Aware End-to-End Connectivity Management
CoRR, 2010

Face recognition using discrete cosine transform and fisher linear discriminant.
Proceedings of the 11th International Conference on Control, 2010

Complex Event Processing for object tracking and intrusion detection in Wireless Sensor Networks.
Proceedings of the 11th International Conference on Control, 2010

Complex Event Processing for Object Tracking in Wireless Sensor Networks.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology - Workshops, Toronto, Canada, August 31, 2010

SpreadStore: A LDPC Erasure Code Scheme for Distributed Storage System.
Proceedings of the International Conference on Data Storage and Data Engineering, 2010

2009
On the architecture of vehicle tracking system using wireless sensor devices.
Proceedings of the International Conference on Ultra Modern Telecommunications, 2009

2008
Decoding architectures for Projective Geometry based LDPC codes.
Proceedings of the 1st IFIP Wireless Days, 2008

2007
A Scheme of Certificate Authority for Ad Hoc Networks.
Proceedings of the 18th International Workshop on Database and Expert Systems Applications (DEXA 2007), 2007

An Improved Time-of-Arrival Estimation for WLAN-Based Local Positioning.
Proceedings of the Second International Conference on COMmunication System softWAre and MiddlewaRE (COMSWARE 2007), 2007

1996
Exponential power estimation (EPE) based adaptive equalization for stationary and time varying channels.
Signal Process., 1996


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