Exponential power estimation (EPE) based adaptive equalization for stationary and time varying channels. - M. Girish Chandra; S. V. Narasimhan (Signal Process., 1996)

An Improved Time-of-Arrival Estimation for WLAN-Based Local Positioning. - Harish Reddy; M. Girish Chandra; P. Balamuralidhar; Harihara S. G.; Kaushik Bhattacharya; Edward Joseph (COMSWARE, 2007)

A Scheme of Certificate Authority for Ad Hoc Networks. - Jaydip Sen; M. Girish Chandra; P. Balamuralidhar; Harihara S. G.; Harish Reddy (DEXA Workshops, 2007)

Decoding architectures for Projective Geometry based LDPC codes. - Harihara S. G.; M. Girish Chandra; Tarakapraveen Uppalapati; B. S. Adiga (Wireless Days, 2008)

On the architecture of vehicle tracking system using wireless sensor devices. - Aravind Kota Gopalakrishna; Tapas Chakravarty; M. Girish Chandra; P. Balamuralidhar (ICUMT, 2009)

SpreadStore: A LDPC Erasure Code Scheme for Distributed Storage System. - Subramanyam G. Harihara; Balaji Janakiram; M. Girish Chandra; Aravind Kota Gopalakrishna; Swanand Kadhe; P. Balamuralidhar; B. S. Adiga (DSDE, 2010)

Complex Event Processing for Object Tracking in Wireless Sensor Networks. - R. Bhargavi; Vijay Vaidehi; P. T. V. Bhuvaneswari; P. Balamurali; M. Girish Chandra (Web Intelligence/IAT Workshops, 2010)

Complex Event Processing for object tracking and intrusion detection in Wireless Sensor Networks. - R. Bhargavi; Vijay Vaidehi; P. T. V. Bhuvaneswari; P. Balamuralidhar; M. Girish Chandra (ICARCV, 2010)

Face recognition using discrete cosine transform and fisher linear discriminant. - Vijay Vaidehi; N. T. Naresh Babu; H. Avinash; M. D. Vimal; A. Sumitra; P. Balamuralidhar; M. Girish Chandra (ICARCV, 2010)

Context Aware End-to-End Connectivity Management - Jaydip Sen; P. Balamuralidhar; M. Girish Chandra; Harihara S. G.; Harish Reddy (CoRR, 2010)

A Real Time Surveillance System Using Wired and Wireless Sensor Networks by Multi-algorithmic Approach. - M. Raja Sekar; Vijay Vaidehi; P. Balamuralidhar; M. Girish Chandra (DICTA, 2011)

Guaranteed error correction based on Fourier Compressive Sensing and Projective Geometry. - B. S. Adiga; M. Girish Chandra; Shreeniwas Sapre (ICASSP, 2011)

Fixed-point implementation of isolated sub-word level speech recognition using hidden Markov models. - N. Venkatesh; Ruchir Gulati; Rajeev Bhujade; M. Girish Chandra (SAC, 2011)

QoS-enabled group communication in integrated VANET-LTE heterogeneous wireless networks. - Rajarajan Sivaraj; Aravind Kota Gopalakrishna; M. Girish Chandra; P. Balamuralidhar (WiMob, 2011)

A Distributed Protocol for Detection of Packet Dropping Attack in Mobile Ad Hoc Networks - Jaydip Sen; M. Girish Chandra; P. Balamuralidhar; Harihara S. G.; Harish Reddy (CoRR, 2011)

A Mechanism for Detection of Gray Hole Attack in Mobile Ad Hoc Networks - Jaydip Sen; M. Girish Chandra; Harihara S. G.; Harish Reddy; P. Balamuralidhar (CoRR, 2011)

A Network Coding Based Framework for Construction of Systematic Minimum Bandwidth Regenerating (MBR) Codes for Distributed Storage. - Swanand Kadhe; M. Girish Chandra; Balaji Janakiram (COMAD, 2013)

On electrical load disaggregation using factor graphs. - Y. G. Goutam; M. Girish Chandra; Krishnan Srinivasarengan; Swanand Kadhe (ICACCI, 2013)

A Framework for Non Intrusive Load Monitoring Using Bayesian Inference. - Krishnan Srinivasarengan; Y. G. Goutam; M. Girish Chandra; Swanand Kadhe (IMIS, 2013)

MobiCoStream: Real-time collaborative video upstream for Mobile Augmented Reality applications. - N. Narendra; Pavan K. Reddy; Kriti Kumar; Ashley Varghese; Prashanth Swamy; M. Girish Chandra; P. Balamuralidhar (IEEE ANTS, 2014)

Home Energy Simulation for Non-Intrusive Load Monitoring Applications. - Krishnan Srinivasarengan; Y. G. Goutam; M. Girish Chandra (ES4CPS@DATE, 2014)

A learning approach for identification of refrigerator load from aggregate load signal. - S. Guruprasad; M. Girish Chandra; P. Balamuralidhar (ICACCI, 2014)

A Knowledge Based Approach for Disaggregation of Low Frequency Consumption Data. - Krishnan Srinivasarengan; Y. G. Goutam; M. Girish Chandra (SIRS, 2014)

An Improved Tracking using IMU and Vision Fusion for Mobile Augmented Reality Applications. - Kriti Kumar; Ashley Varghese; Pavan K. Reddy; N. Narendra; Prashanth Swamy; M. Girish Chandra; P. Balamuralidhar (CoRR, 2014)

JL Lemma Based Dimensionality Reduction: On Using CDS Based Partial Fourier Matrices. - Snigdha Tariyal; N. Narendra; M. Girish Chandra (HiPC Workshops, 2015)

Sequential Multilinear Subspace Based Event Detection in Large Video Data Sequences. - Bharat Venkitesh; Pavan Kumar Reddy K; M. Girish Chandra (HiPC Workshops, 2015)

Compressed Sensing Methods for DNA Microarrays, RNA Interference, and Metagenomics. - Aditya Rao; Deepthi P.; C. H. Renumadhavi; M. Girish Chandra; Rajgopal Srinivasan (J. Comput. Biol., 2015)

Security and Privacy for Real Time Video Streaming Using Hierarchical Inner Product Encryption Based Publish-Subscribe Architecture. - M. A. Rajan; Ashley Varghese; N. Narendra; Meena Singh Dilip Singh; V. L. Shivraj; M. Girish Chandra; P. Balamuralidhar (AINA Workshops, 2016)

Structural resilience of cyberphysical systems under attack. - Bhaskar Ramasubramanian; M. A. Rajan; M. Girish Chandra (ACC, 2016)

On efficient encoding of foreground objects using Hermitian Symmetric DFT codes. - N. Narendra; Achanna Anil Kumar; M. Girish Chandra; P. Balamuralidhar (APSIPA, 2016)

Joint frequency and direction of arrival estimation with space-time array. - Achanna Anil Kumar; Sirajudeen Gulam Razul; M. Girish Chandra; Chong Meng Samson See; P. Balamuralidhar (SAM, 2016)

Power system load data models and disaggregation based on sparse approximations. - Rahul Sinha; S. Spoorthy; Prerna Khurana; M. Girish Chandra (INDIN, 2016)

Energy Efficient GPS Acquisition with Sparse-GPS+: Poster Abstract. - Prasant Misra; Achanna Anil Kumar; M. Girish Chandra; P. Balamurali (SenSys, 2016)

Disaggregated Forecasting for Large Office Buildings: Poster Abstract. - Naveen Kumar Thokala; M. Girish Chandra (BuildSys, 2016)

Joint frequency and 2-D DOA recovery with sub-Nyquist difference space-time array. - Achanna Anil Kumar; M. Girish Chandra; P. Balamuralidhar (EUSIPCO, 2017)

Graph Structured Dictionary for Regression. - Kriti Kumar; M. Girish Chandra; Aakanksha Bapna; Achanna Anil Kumar (EUSIPCO, 2018)

Efficient Ambiguity Resolution in Polarimetric Multi-View Stereo. - Achanna Anil Kumar; N. Narendra; P. Balamuralidhar; M. Girish Chandra (EUSIPCO, 2018)

Computationally Efficient Image Super Resolution from Totally Aliased Low Resolution Images. - Achanna Anil Kumar; N. Narendra; P. Balamuralidhar; M. Girish Chandra (EUSIPCO, 2018)

Sampling and Reconstruction of Band-limited Graph Signals using Graph Syndromes. - Achanna Anil Kumar; N. Narendra; M. Girish Chandra; Kriti Kumar (EUSIPCO, 2018)

Regressing Kernel Dictionary Learning. - Kriti Kumar; Angshul Majumdar; M. Girish Chandra; Achanna Anil Kumar (ICASSP, 2018)

A deployable electrical load forecasting solution for commercial buildings. - Naveen Kumar Thokala; Aakanksha Bapna; M. Girish Chandra (ICIT, 2018)

Tool Wear Prediction using Function Approximation Driven by Signal Processing. - Kriti Kumar; Aakanksha Bapna; M. Girish Chandra; Naveen Kumar Thokala (IECON, 2018)

Low Sampling Rate Electrical Load Disaggregation Using Dictionary Representation and Graph Signal Smoothness. - Kriti Kumar; M. Girish Chandra; Achanna Anil Kumar; Naveen Kumar Thokala (e-Energy, 2019)

On Using Graph Signal Processing for Electrical Load Disaggregation. - Subbareddy Batreddy; Kriti Kumar; M. Girish Chandra (HiPC Workshops, 2019)

A software framework for procedural knowledge based collaborative data analytics for IoT. - Snehasis Banerjee; Mariswamy Girish Chandra (SERP4IoT@ICSE, 2019)

Near-Field Sub-Nyquist Source Localization via Uniform Linear Array. - Sanjay Manjunath; Achanna Anil Kumar; M. Girish Chandra; Tapas Chakravarty (IEEE SENSORS, 2019)

Enterprise System Response Time Prediction Using Non-stationary Function Approximations. - Karumanchi Ravikumar; Kriti Kumar; Naveen Kumar Thokala; M. Girish Chandra (IWANN (1), 2019)

Long-Term Forecasting of Heterogenous Variables with Automatic Algorithm Selection. - Naveen Kumar Thokala; Kriti Kumar; M. Girish Chandra; Karumanchi Ravikumar (IWANN (1), 2019)

A Scalable Long-Horizon Forecasting of Building Electricity Consumption. - Naveen Kumar Thokala; S. Spoorthy; M. Girish Chandra (IWANN (1), 2019)

Transform Learning Based Function Approximation for Regression and Forecasting. - Kriti Kumar; Angshul Majumdar; M. Girish Chandra; Achanna Anil Kumar (AALTD@PKDD/ECML, 2019)

On Electrical Load Disaggregation using Recurrent Neural Networks. - Rajasekhar Gopu; Anusha Gudimallam; Vishnu Brindavanam; Naveen Kumar Thokala; M. Girish Chandra (BuildSys, 2019)

Electrical Load Disaggregation using a two-stage deep learning approach. - Spoorthy Paresh; Naveen Kumar Thokala; M. Girish Chandra (BuildSys, 2019)

Cognitive Fatigue Detection from EEG Signals using Topological Signal Processing. - Arup Kumar Das; Kriti Kumar; Rahul D. Gavas; Dibyanshu Jaiswal; Debatri Chatterjee; Ramesh Kumar Ramakrishnan; M. Girish Chandra; Arpan Pal 001 (EUSIPCO, 2020)

Transform Learning Assisted Graph Signal Processing for Low Rate Electrical Load Disaggregation. - Kriti Kumar; M. Girish Chandra (EUSIPCO, 2020)

Deep Transform Learning for Multi-Sensor Fusion. - Saurabh Sahu; Kriti Kumar; Angshul Majumdar; M. Girish Chandra (EUSIPCO, 2020)

Blink rate variability: a marker of sustained attention during a visual task. - Rahul Gavas; Mithun B. Sheshachala; Debatri Chatterjee; Ramesh Kumar Ramakrishnan; Venkata Subramanian Viraraghavan; Achanna Anil Kumar; M. Girish Chandra (UbiComp/ISWC Adjunct, 2020)

Multi-Label Auto-Encoder based Electrical Load Disaggregation. - Spoorthy Paresh; Naveen Kumar Thokala; Angshul Majumdar; M. Girish Chandra (IJCNN, 2020)

Multi-Sensor Fusion Framework using Discriminative Autoencoders. - Arup Kumar Das; Kriti Kumar; Angshul Majumdar; Saurabh Sahu; M. Girish Chandra (EUSIPCO, 2021)

Joint Coupled Transform Learning Framework for Multimodal Image Super-Resolution. - Andrew Gigie; Achanna Anil Kumar; Angshul Majumdar; Kriti Kumar; M. Girish Chandra (ICASSP, 2021)

AutoFuse: A Semi-supervised Autoencoder based Multi-Sensor Fusion Framework. - Kriti Kumar; Saurabh Sahu; Angshul Majumdar; M. Girish Chandra (IJCNN, 2021)

On a Possible Quantum Variational Autoencoder Circuit. - Sayantan Pramanik; M. Girish Chandra (IJCNN, 2021)

On Generating a Probability Distribution Amenable to NISQ Using Modifications to Grover's Algorithm. - Sayantan Pramanik; M. Girish Chandra (QCE, 2021)

A representational learning assisted matrix factorization approach for electrical load disaggregation. - Spoorthy Paresh; Naveen Kumar Thokala; Vishnu Brindavanam; M. Girish Chandra (BuildSys, 2021)

DeepDive: Deep Latent Factor Model for Enhancing Diversity in Recommender Systems. - Kriti Kumar; Angshul Majumdar; M. Girish Chandra (ICDM (Workshops), 2022)

On Classifying Images using Quantum Image Representation. - Ankit Khandelwal; M. Girish Chandra; Sayantan Pramanik (SEC, 2022)

On Quantum-Enhanced LDPC Decoding for Rayleigh Fading Channels. - Utso Majumder; Aditya Das Sarma; Vishnu Vaidya; M. Girish Chandra (SEC, 2022)

A Quantum-Classical Hybrid Method for Image Classification and Segmentation. - Sayantan Pramanik; M. Girish Chandra; C. V. Sridhar; Aniket Kulkarni; Prabin R. Sahoo; Chethan D. V. Vishwa; Hrishikesh Sharma; Vidyut Navelkar; Sudhakara Poojary; Pranav Shah; Manoj Nambiar 001 (SEC, 2022)

On Quantum-Assisted LDPC Decoding Augmented with Classical Post-processing. - Aditya Das Sarma; Utso Majumder; Vishnu Vaidya; M. Girish Chandra; Achanna Anil Kumar; Sayantan Pramanik (PPAM (2), 2022)

Optimization of Sensor-Placement on Vehicles using Quantum-Classical Hybrid Methods. - Sayantan Pramanik; Vishnu Vaidya; Gajendra Malviya; Sudhir K. Sinha; Shripad Salsingikar; M. Girish Chandra; C. V. Sridhar; Godfrey Mathais; Vidyut Navelkar (QCE, 2022)

CycleGAN Based Unsupervised Domain Adaptation for Machine Fault Diagnosis. - Naibedya Pattnaik; Uday Sai Vemula; Kriti Kumar; Achanna Anil Kumar; Angshul Majumdar; M. Girish Chandra; Arpan Pal 001 (SenSys, 2022)

An effective electrical load disaggregation approach for low-sampled smart meter data. - Naveen Kumar Thokala; Spoorthy Paresh; M. Girish Chandra (BuildSys, 2022)

Resilience to denial-of-service and integrity attacks: A structured systems approach. - Bhaskar Ramasubramanian; M. A. Rajan; M. Girish Chandra; Rance Cleaveland; Steven I. Marcus (Eur. J. Control, 2022)

Transform Based Subspace Interpolation for Unsupervised Domain Adaptation Applied to Machine Inspection. - Kriti Kumar; Angshul Majumdar; Achanna Anil Kumar; M. Girish Chandra (EUSIPCO, 2023)

Graph Assisted Unsupervised Domain Adaptation for Machine Fault Diagnosis. - Naibedya Pattnaik; Kriti Kumar; Achanna Anil Kumar; M. Girish Chandra (EUSIPCO, 2023)

Label-Consistent Convolutional Dictionary Learning for Machine Inspection. - Saurabh Sahu; Kriti Kumar; Angshul Majumdar; Achanna Anil Kumar; M. Girish Chandra (EUSIPCO, 2023)

Unsupervised Domain Adaptation via Subspace Interpolating Deep Dictionary Learning: A Case Study in Machine Inspection. - Kriti Kumar; Angshul Majumdar; Achanna Anil Kumar; M. Girish Chandra (ICASSP, 2023)

Quantum-Enhanced Topological Data Analysis: A Peep from an Implementation Perspective. - Ankit Khandelwal; M. Girish Chandra (IPDPS Workshops, 2023)

Efficient and Flexible Annealer-Gate Hybrid Model for Solving Large-Scale Portfolio Optimization. - Naman Jain; Ankit Khandelwal; M. Girish Chandra (QCE, 2023)

Quantum Machine Learning with Quantum Topological Data Analysis. - Ankit Khandelwal; M. Girish Chandra (QCE, 2023)

Time-Series Forecasting Using Continuous Variables-Based Quantum Neural Networks. - Prabhat Anand; M. Girish Chandra; Ankit Khandelwal (COMSNETS, 2024)

Generative Learning with Qopula Circuits. - Amey Bhatuse; Ankit Khandelwal; M. Girish Chandra (COMSNETS, 2024)

Novel Objective Function and Expectation Value Estimation Method for the Variational Quantum Singular Value Decomposition Algorithm. - Jezer Jojo; Ankit Khandelwal; M. Girish Chandra (COMSNETS, 2024)

Quantum-Enhanced Resilient Reinforcement Learning Using Causal Inference. - Namasi G. Sankar; Ankit Khandelwal; M. Girish Chandra (COMSNETS, 2024)

MetQuan - A Comprehensive Toolkit for Variational Quantum Sensing and Metrology. - Kunal Sinha; Rajas Dalvi; M. Girish Chandra; Sourav Chatterjee (COMSNETS, 2024)

Multi-Modal Image Super-Resolution via Deep Convolutional Transform Learning. - Kriti Kumar; Angshul Majumdar; Achanna Anil Kumar; M. Girish Chandra (EUSIPCO, 2024)

Ellora: Exploring Low-Power OFDM-based Radar Processors using Approximate Computing. - Rajat Bhattacharjya; Alish Kanani; Achanna Anil Kumar; Manoj Nambiar 001; M. Girish Chandra; Rekha Singhal (LASCAS, 2024)

Quantum Algorithms for Tensor-SVD. - Jezer Jojo; Ankit Khandelwal; M. Girish Chandra (QCE, 2024)

iTrust: Trust-Region Optimisation with Ising Machines. - Sayantan Pramanik; Kaumudibikash Goswami; Sourav Chatterjee; M. Girish Chandra (CoRR, 2024)

Phase-Based Approaches for Rapid Construction of Magnetic Fields in NV Magnetometry. - Prabhat Anand; Ankit Khandelwal; Achanna Anil Kumar; M. Girish Chandra; Pavan K. Reddy; Anuj Bathla; Dasika Shishir; Kasturi Saha (CoRR, 2024)

On resolving the out of vocabulary problem in DisCoCat-based quantum natural language processing. - Amey Bhatuse; Ankit Khandelwal; Sandeep S. Udmale; M. Girish Chandra; Sopan Kolte (Evol. Syst., 2025)