M. Girish Chandra

92 papers B 4C 5Misc 22Journal 11Unranked 50

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Contrastive Learning Based Deep Convolutional Transform Learning for Multi-Sensor Fusion. EUSIPCO Saurabh Sahu, Kriti Kumar, Achanna Anil Kumar, M. Girish Chandra
2025	—	`conf`	Joint Estimation of Current Maps in Quantum Diamond Magnetometry. EUSIPCO Prabhat Anand, Pavan Kumar Reddy K, Anuj Bathla, Kasturi Saha, M. Girish Chandra
2025	J	`jnl`	On resolving the out of vocabulary problem in DisCoCat-based quantum natural language processing. Evol. Syst. Amey Bhatuse, Ankit Khandelwal, Sandeep S. Udmale, M. Girish Chandra, Sopan Kolte
2024	—	`conf`	Ellora: Exploring Low-Power OFDM-based Radar Processors using Approximate Computing. LASCAS Rajat Bhattacharjya, Alish Kanani, Achanna Anil Kumar, Manoj Nambiar, M. Girish Chandra, Rekha Singhal
2024	Misc	`conf`	Generative Learning with Qopula Circuits. COMSNETS Amey Bhatuse, Ankit Khandelwal, M. Girish Chandra
2024	Misc	`conf`	MetQuan - A Comprehensive Toolkit for Variational Quantum Sensing and Metrology. COMSNETS Kunal Sinha, Rajas Dalvi, M. Girish Chandra, Sourav Chatterjee
2024	—	`conf`	Multi-Modal Image Super-Resolution via Deep Convolutional Transform Learning. EUSIPCO Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra
2024	Misc	`conf`	Novel Objective Function and Expectation Value Estimation Method for the Variational Quantum Singular Value Decomposition Algorithm. COMSNETS Jezer Jojo, Ankit Khandelwal, M. Girish Chandra
2024	J	`jnl`	Phase-Based Approaches for Rapid Construction of Magnetic Fields in NV Magnetometry. CoRR Prabhat Anand, Ankit Khandelwal, Achanna Anil Kumar, M. Girish Chandra, Pavan K. Reddy, Anuj Bathla, Dasika Shishir, Kasturi Saha
2024	Misc	`conf`	Quantum Algorithms for Tensor-SVD. QCE Jezer Jojo, Ankit Khandelwal, M. Girish Chandra
2024	Misc	`conf`	Quantum-Enhanced Resilient Reinforcement Learning Using Causal Inference. COMSNETS Namasi G. Sankar, Ankit Khandelwal, M. Girish Chandra
2024	Misc	`conf`	Time-Series Forecasting Using Continuous Variables-Based Quantum Neural Networks. COMSNETS Prabhat Anand, M. Girish Chandra, Ankit Khandelwal
2023	Misc	`conf`	Efficient and Flexible Annealer-Gate Hybrid Model for Solving Large-Scale Portfolio Optimization. QCE Naman Jain, Ankit Khandelwal, M. Girish Chandra
2023	J	`jnl`	Ellora: Exploring Low-Power OFDM-based Radar Processors using Approximate Computing. CoRR Rajat Bhattacharjya, Alish Kanani, Achanna Anil Kumar, Manoj Nambiar, M. Girish Chandra, Rekha Singhal
2023	—	`conf`	Graph Assisted Unsupervised Domain Adaptation for Machine Fault Diagnosis. EUSIPCO Naibedya Pattnaik, Kriti Kumar, Achanna Anil Kumar, M. Girish Chandra
2023	—	`conf`	Label-Consistent Convolutional Dictionary Learning for Machine Inspection. EUSIPCO Saurabh Sahu, Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra
2023	Misc	`conf`	Quantum Machine Learning with Quantum Topological Data Analysis. QCE Ankit Khandelwal, M. Girish Chandra
2023	—	`conf`	Quantum-Enhanced Topological Data Analysis: A Peep from an Implementation Perspective. IPDPS Workshops Ankit Khandelwal, M. Girish Chandra
2023	—	`conf`	Transform Based Subspace Interpolation for Unsupervised Domain Adaptation Applied to Machine Inspection. EUSIPCO Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra
2023	Misc	`conf`	Unsupervised Domain Adaptation via Subspace Interpolating Deep Dictionary Learning: A Case Study in Machine Inspection. ICASSP Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra
2022	Misc	`conf`	A Quantum-Classical Hybrid Method for Image Classification and Segmentation. SEC 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
2022	—	`conf`	An effective electrical load disaggregation approach for low-sampled smart meter data. BuildSys Naveen Kumar Thokala, Spoorthy Paresh, M. Girish Chandra
2022	Misc	`conf`	CycleGAN Based Unsupervised Domain Adaptation for Machine Fault Diagnosis. SenSys Naibedya Pattnaik, Uday Sai Vemula, Kriti Kumar, Achanna Anil Kumar, Angshul Majumdar, M. Girish Chandra, Arpan Pal
2022	—	`conf`	DeepDive: Deep Latent Factor Model for Enhancing Diversity in Recommender Systems. ICDM (Workshops) Kriti Kumar, Angshul Majumdar, M. Girish Chandra
2022	Misc	`conf`	On Classifying Images using Quantum Image Representation. SEC Ankit Khandelwal, M. Girish Chandra, Sayantan Pramanik
2022	—	`conf`	On Quantum-Assisted LDPC Decoding Augmented with Classical Post-processing. PPAM (2) Aditya Das Sarma, Utso Majumder, Vishnu Vaidya, M. Girish Chandra, Achanna Anil Kumar, Sayantan Pramanik
2022	Misc	`conf`	On Quantum-Enhanced LDPC Decoding for Rayleigh Fading Channels. SEC Utso Majumder, Aditya Das Sarma, Vishnu Vaidya, M. Girish Chandra
2022	Misc	`conf`	Optimization of Sensor-Placement on Vehicles using Quantum-Classical Hybrid Methods. QCE Sayantan Pramanik, Vishnu Vaidya, Gajendra Malviya, Sudhir K. Sinha, Shripad Salsingikar, M. Girish Chandra, C. V. Sridhar, Godfrey Mathais, Vidyut Navelkar
2022	J	`jnl`	Resilience to denial-of-service and integrity attacks: A structured systems approach. Eur. J. Control Bhaskar Ramasubramanian, M. A. Rajan, M. Girish Chandra, Rance Cleaveland, Steven I. Marcus
2021	—	`conf`	A representational learning assisted matrix factorization approach for electrical load disaggregation. BuildSys Spoorthy Paresh, Naveen Kumar Thokala, Vishnu Brindavanam, M. Girish Chandra
2021	B	`conf`	AutoFuse: A Semi-supervised Autoencoder based Multi-Sensor Fusion Framework. IJCNN Kriti Kumar, Saurabh Sahu, Angshul Majumdar, M. Girish Chandra
2021	Misc	`conf`	Joint Coupled Transform Learning Framework for Multimodal Image Super-Resolution. ICASSP Andrew Gigie, Achanna Anil Kumar, Angshul Majumdar, Kriti Kumar, M. Girish Chandra
2021	—	`conf`	Multi-Sensor Fusion Framework using Discriminative Autoencoders. EUSIPCO Arup Kumar Das, Kriti Kumar, Angshul Majumdar, Saurabh Sahu, M. Girish Chandra
2021	Misc	`conf`	On Generating a Probability Distribution Amenable to NISQ Using Modifications to Grover's Algorithm. QCE Sayantan Pramanik, M. Girish Chandra
2021	B	`conf`	On a Possible Quantum Variational Autoencoder Circuit. IJCNN Sayantan Pramanik, M. Girish Chandra
2021	J	`jnl`	Resilience to Denial-of-Service and Integrity Attacks: A Structured Systems Approach. CoRR Bhaskar Ramasubramanian, M. A. Rajan, M. Girish Chandra, Rance Cleaveland, Steven I. Marcus
2020	—	`conf`	Blink rate variability: a marker of sustained attention during a visual task. UbiComp/ISWC Adjunct Rahul Gavas, Mithun B. Sheshachala, Debatri Chatterjee, Ramesh Kumar Ramakrishnan, Venkata Subramanian Viraraghavan, Achanna Anil Kumar, M. Girish Chandra
2020	—	`conf`	Cognitive Fatigue Detection from EEG Signals using Topological Signal Processing. EUSIPCO Arup Kumar Das, Kriti Kumar, Rahul D. Gavas, Dibyanshu Jaiswal, Debatri Chatterjee, Ramesh Kumar Ramakrishnan, M. Girish Chandra, Arpan Pal
2020	—	`conf`	Deep Transform Learning for Multi-Sensor Fusion. EUSIPCO Saurabh Sahu, Kriti Kumar, Angshul Majumdar, M. Girish Chandra
2020	B	`conf`	Multi-Label Auto-Encoder based Electrical Load Disaggregation. IJCNN Spoorthy Paresh, Naveen Kumar Thokala, Angshul Majumdar, M. Girish Chandra
2020	—	`conf`	Transform Learning Assisted Graph Signal Processing for Low Rate Electrical Load Disaggregation. EUSIPCO Kriti Kumar, M. Girish Chandra
2019	—	`conf`	A Scalable Long-Horizon Forecasting of Building Electricity Consumption. IWANN (1) Naveen Kumar Thokala, S. Spoorthy, M. Girish Chandra
2019	—	`conf`	Electrical Load Disaggregation using a two-stage deep learning approach. BuildSys Spoorthy Paresh, Naveen Kumar Thokala, M. Girish Chandra
2019	—	`conf`	Enterprise System Response Time Prediction Using Non-stationary Function Approximations. IWANN (1) Karumanchi Ravikumar, Kriti Kumar, Naveen Kumar Thokala, M. Girish Chandra
2019	—	`conf`	Long-Term Forecasting of Heterogenous Variables with Automatic Algorithm Selection. IWANN (1) Naveen Kumar Thokala, Kriti Kumar, M. Girish Chandra, Karumanchi Ravikumar
2019	—	`conf`	Low Sampling Rate Electrical Load Disaggregation Using Dictionary Representation and Graph Signal Smoothness. e-Energy Kriti Kumar, M. Girish Chandra, Achanna Anil Kumar, Naveen Kumar Thokala
2019	—	`conf`	Near-Field Sub-Nyquist Source Localization via Uniform Linear Array. IEEE SENSORS Sanjay Manjunath, Achanna Anil Kumar, M. Girish Chandra, Tapas Chakravarty
2019	—	`conf`	On Electrical Load Disaggregation using Recurrent Neural Networks. BuildSys Rajasekhar Gopu, Anusha Gudimallam, Vishnu Brindavanam, Naveen Kumar Thokala, M. Girish Chandra
2019	—	`conf`	On Using Graph Signal Processing for Electrical Load Disaggregation. HiPC Workshops Subbareddy Batreddy, Kriti Kumar, M. Girish Chandra
2019	—	`conf`	Transform Learning Based Function Approximation for Regression and Forecasting. AALTD@PKDD/ECML Kriti Kumar, Angshul Majumdar, M. Girish Chandra, Achanna Anil Kumar
2018	—	`conf`	A deployable electrical load forecasting solution for commercial buildings. ICIT Naveen Kumar Thokala, Aakanksha Bapna, M. Girish Chandra
2018	—	`conf`	Computationally Efficient Image Super Resolution from Totally Aliased Low Resolution Images. EUSIPCO Achanna Anil Kumar, N. Narendra, P. Balamuralidhar, M. Girish Chandra
2018	—	`conf`	Efficient Ambiguity Resolution in Polarimetric Multi-View Stereo. EUSIPCO Achanna Anil Kumar, N. Narendra, P. Balamuralidhar, M. Girish Chandra
2018	—	`conf`	Graph Structured Dictionary for Regression. EUSIPCO Kriti Kumar, M. Girish Chandra, Aakanksha Bapna, Achanna Anil Kumar
2018	Misc	`conf`	Regressing Kernel Dictionary Learning. ICASSP Kriti Kumar, Angshul Majumdar, M. Girish Chandra, Achanna Anil Kumar
2018	—	`conf`	Sampling and Reconstruction of Band-limited Graph Signals using Graph Syndromes. EUSIPCO Achanna Anil Kumar, N. Narendra, M. Girish Chandra, Kriti Kumar
2018	C	`conf`	Tool Wear Prediction using Function Approximation Driven by Signal Processing. IECON Kriti Kumar, Aakanksha Bapna, M. Girish Chandra, Naveen Kumar Thokala
2017	—	`conf`	Joint frequency and 2-D DOA recovery with sub-Nyquist difference space-time array. EUSIPCO Achanna Anil Kumar, M. Girish Chandra, P. Balamuralidhar
2016	—	`conf`	Disaggregated Forecasting for Large Office Buildings: Poster Abstract. BuildSys Naveen Kumar Thokala, M. Girish Chandra
2016	Misc	`conf`	Energy Efficient GPS Acquisition with Sparse-GPS+: Poster Abstract. SenSys Prasant Misra, Achanna Anil Kumar, M. Girish Chandra, P. Balamurali
2016	—	`conf`	Joint frequency and direction of arrival estimation with space-time array. SAM Achanna Anil Kumar, Sirajudeen Gulam Razul, M. Girish Chandra, Chong Meng Samson See, P. Balamuralidhar
2016	—	`conf`	On efficient encoding of foreground objects using Hermitian Symmetric DFT codes. APSIPA N. Narendra, Achanna Anil Kumar, M. Girish Chandra, P. Balamuralidhar
2016	C	`conf`	Power system load data models and disaggregation based on sparse approximations. INDIN Rahul Sinha, S. Spoorthy, Prerna Khurana, M. Girish Chandra
2016	—	`conf`	Security and Privacy for Real Time Video Streaming Using Hierarchical Inner Product Encryption Based Publish-Subscribe Architecture. AINA Workshops M. A. Rajan, Ashley Varghese, N. Narendra, Meena Singh Dilip Singh, V. L. Shivraj, M. Girish Chandra, P. Balamuralidhar
2016	C	`conf`	Structural resilience of cyberphysical systems under attack. ACC Bhaskar Ramasubramanian, M. A. Rajan, M. Girish Chandra
2015	J	`jnl`	Compressed Sensing Methods for DNA Microarrays, RNA Interference, and Metagenomics. J. Comput. Biol. Aditya Rao, Deepthi P., C. H. Renumadhavi, M. Girish Chandra, Rajgopal Srinivasan
2015	—	`conf`	JL Lemma Based Dimensionality Reduction: On Using CDS Based Partial Fourier Matrices. HiPC Workshops Snigdha Tariyal, N. Narendra, M. Girish Chandra
2015	—	`conf`	Sequential Multilinear Subspace Based Event Detection in Large Video Data Sequences. HiPC Workshops Bharat Venkitesh, Pavan Kumar Reddy K, M. Girish Chandra
2014	—	`conf`	A Knowledge Based Approach for Disaggregation of Low Frequency Consumption Data. SIRS Krishnan Srinivasarengan, Y. G. Goutam, M. Girish Chandra
2014	—	`conf`	A learning approach for identification of refrigerator load from aggregate load signal. ICACCI S. Guruprasad, M. Girish Chandra, P. Balamuralidhar
2014	J	`jnl`	An Improved Tracking using IMU and Vision Fusion for Mobile Augmented Reality Applications. CoRR Kriti Kumar, Ashley Varghese, Pavan K. Reddy, N. Narendra, Prashanth Swamy, M. Girish Chandra, P. Balamuralidhar
2014	—	`conf`	Home Energy Simulation for Non-Intrusive Load Monitoring Applications. ES4CPS@DATE Krishnan Srinivasarengan, Y. G. Goutam, M. Girish Chandra
2014	—	`conf`	MobiCoStream: Real-time collaborative video upstream for Mobile Augmented Reality applications. IEEE ANTS N. Narendra, Pavan K. Reddy, Kriti Kumar, Ashley Varghese, Prashanth Swamy, M. Girish Chandra, P. Balamuralidhar
2013	—	`conf`	A Framework for Non Intrusive Load Monitoring Using Bayesian Inference. IMIS Krishnan Srinivasarengan, Y. G. Goutam, M. Girish Chandra, Swanand Kadhe
2013	Misc	`conf`	A Network Coding Based Framework for Construction of Systematic Minimum Bandwidth Regenerating (MBR) Codes for Distributed Storage. COMAD Swanand Kadhe, M. Girish Chandra, Balaji Janakiram
2013	—	`conf`	On electrical load disaggregation using factor graphs. ICACCI Y. G. Goutam, M. Girish Chandra, Krishnan Srinivasarengan, Swanand Kadhe
2011	J	`jnl`	A Distributed Protocol for Detection of Packet Dropping Attack in Mobile Ad Hoc Networks CoRR Jaydip Sen, M. Girish Chandra, P. Balamuralidhar, Harihara S. G., Harish Reddy
2011	J	`jnl`	A Mechanism for Detection of Gray Hole Attack in Mobile Ad Hoc Networks CoRR Jaydip Sen, M. Girish Chandra, Harihara S. G., Harish Reddy, P. Balamuralidhar
2011	Misc	`conf`	A Real Time Surveillance System Using Wired and Wireless Sensor Networks by Multi-algorithmic Approach. DICTA M. Raja Sekar, Vijay Vaidehi, P. Balamuralidhar, M. Girish Chandra
2011	Misc	`conf`	Fixed-point implementation of isolated sub-word level speech recognition using hidden Markov models. SAC N. Venkatesh, Ruchir Gulati, Rajeev Bhujade, M. Girish Chandra
2011	Misc	`conf`	Guaranteed error correction based on Fourier Compressive Sensing and Projective Geometry. ICASSP B. S. Adiga, M. Girish Chandra, Shreeniwas Sapre
2011	B	`conf`	QoS-enabled group communication in integrated VANET-LTE heterogeneous wireless networks. WiMob Rajarajan Sivaraj, Aravind Kota Gopalakrishna, M. Girish Chandra, P. Balamuralidhar
2010	—	`conf`	Complex Event Processing for Object Tracking in Wireless Sensor Networks. Web Intelligence/IAT Workshops R. Bhargavi, Vijay Vaidehi, P. T. V. Bhuvaneswari, P. Balamurali, M. Girish Chandra
2010	C	`conf`	Complex Event Processing for object tracking and intrusion detection in Wireless Sensor Networks. ICARCV R. Bhargavi, Vijay Vaidehi, P. T. V. Bhuvaneswari, P. Balamuralidhar, M. Girish Chandra
2010	J	`jnl`	Context Aware End-to-End Connectivity Management CoRR Jaydip Sen, P. Balamuralidhar, M. Girish Chandra, Harihara S. G., Harish Reddy
2010	C	`conf`	Face recognition using discrete cosine transform and fisher linear discriminant. ICARCV Vijay Vaidehi, N. T. Naresh Babu, H. Avinash, M. D. Vimal, A. Sumitra, P. Balamuralidhar, M. Girish Chandra
2010	—	`conf`	SpreadStore: A LDPC Erasure Code Scheme for Distributed Storage System. DSDE Subramanyam G. Harihara, Balaji Janakiram, M. Girish Chandra, Aravind Kota Gopalakrishna, Swanand Kadhe, P. Balamuralidhar, B. S. Adiga
2009	—	`conf`	On the architecture of vehicle tracking system using wireless sensor devices. ICUMT Aravind Kota Gopalakrishna, Tapas Chakravarty, M. Girish Chandra, P. Balamuralidhar
2008	—	`conf`	Decoding architectures for Projective Geometry based LDPC codes. Wireless Days Harihara S. G., M. Girish Chandra, Tarakapraveen Uppalapati, B. S. Adiga
2007	—	`conf`	A Scheme of Certificate Authority for Ad Hoc Networks. DEXA Workshops Jaydip Sen, M. Girish Chandra, P. Balamuralidhar, Harihara S. G., Harish Reddy
2007	—	`conf`	An Improved Time-of-Arrival Estimation for WLAN-Based Local Positioning. COMSWARE Harish Reddy, M. Girish Chandra, P. Balamuralidhar, Harihara S. G., Kaushik Bhattacharya, Edward Joseph
1996	J	`jnl`	Exponential power estimation (EPE) based adaptive equalization for stationary and time varying channels. Signal Process. M. Girish Chandra, S. V. Narasimhan