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ORCIDM. Girish Chandra
Mariswamy Girish Chandra
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2020 – today
- 2024
[c80]Prabhat Anand, M. Girish Chandra, Ankit Khandelwal
:
Time-Series Forecasting Using Continuous Variables-Based Quantum Neural Networks. COMSNETS 2024: 994-999- [c79]Amey Bhatuse, Ankit Khandelwal, M. Girish Chandra:
Generative Learning with Qopula Circuits. COMSNETS 2024: 1012-1017 - [c78]Jezer Jojo, Ankit Khandelwal, M. Girish Chandra:
Novel Objective Function and Expectation Value Estimation Method for the Variational Quantum Singular Value Decomposition Algorithm. COMSNETS 2024: 1018-1023 - [c77]Namasi G. Sankar, Ankit Khandelwal, M. Girish Chandra:
Quantum-Enhanced Resilient Reinforcement Learning Using Causal Inference. COMSNETS 2024: 1058-1063 - [c76]Kunal Sinha, Rajas Dalvi, M. Girish Chandra, Sourav Chatterjee:
MetQuan - A Comprehensive Toolkit for Variational Quantum Sensing and Metrology. COMSNETS 2024: 1082-1087 - [c75]Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra:
Multi-Modal Image Super-Resolution via Deep Convolutional Transform Learning. EUSIPCO 2024: 671-675 - [c74]Rajat Bhattacharjya, Alish Kanani, Achanna Anil Kumar, Manoj Nambiar, M. Girish Chandra, Rekha Singhal:
Ellora: Exploring Low-Power OFDM-based Radar Processors using Approximate Computing. LASCAS 2024: 1-5 - [c73]Jezer Jojo, Ankit Khandelwal, M. Girish Chandra:
Quantum Algorithms for Tensor-SVD. QCE 2024: 67-75 - [i8]Sayantan Pramanik, Kaumudibikash Goswami, Sourav Chatterjee, M. Girish Chandra:
iTrust: Trust-Region Optimisation with Ising Machines. CoRR abs/2407.04715 (2024) - [i7]Prabhat Anand, Ankit Khandelwal, Achanna Anil Kumar, M. Girish Chandra, Pavan K. Reddy, Anuj Bathla, Dasika Shishir, Kasturi Saha:
Phase-Based Approaches for Rapid Construction of Magnetic Fields in NV Magnetometry. CoRR abs/2408.11069 (2024) - 2023
- [c72]Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra:
Transform Based Subspace Interpolation for Unsupervised Domain Adaptation Applied to Machine Inspection. EUSIPCO 2023: 1708-1712 - [c71]Naibedya Pattnaik, Kriti Kumar, Achanna Anil Kumar, M. Girish Chandra:
Graph Assisted Unsupervised Domain Adaptation for Machine Fault Diagnosis. EUSIPCO 2023: 1733-1737 - [c70]Saurabh Sahu, Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra:
Label-Consistent Convolutional Dictionary Learning for Machine Inspection. EUSIPCO 2023: 1883-1887 - [c69]Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra:
Unsupervised Domain Adaptation via Subspace Interpolating Deep Dictionary Learning: A Case Study in Machine Inspection. ICASSP 2023: 1-5 - [c68]Ankit Khandelwal, M. Girish Chandra:
Quantum-Enhanced Topological Data Analysis: A Peep from an Implementation Perspective. IPDPS Workshops 2023: 534-540 - [c67]Ankit Khandelwal, M. Girish Chandra:
Quantum Machine Learning with Quantum Topological Data Analysis. QCE 2023: 10-14 - [c66]Naman Jain, Ankit Khandelwal, M. Girish Chandra:
Efficient and Flexible Annealer-Gate Hybrid Model for Solving Large-Scale Portfolio Optimization. QCE 2023: 286-287 - [i6]Rajat Bhattacharjya, Alish Kanani, Achanna Anil Kumar, Manoj Nambiar, M. Girish Chandra, Rekha Singhal:
Ellora: Exploring Low-Power OFDM-based Radar Processors using Approximate Computing. CoRR abs/2312.00176 (2023) - 2022
- [j3]Bhaskar Ramasubramanian, M. A. Rajan, M. Girish Chandra, Rance Cleaveland, Steven I. Marcus:
Resilience to denial-of-service and integrity attacks: A structured systems approach. Eur. J. Control 63: 61-69 (2022) - [c65]Kriti Kumar, Angshul Majumdar, M. Girish Chandra:
DeepDive: Deep Latent Factor Model for Enhancing Diversity in Recommender Systems. ICDM (Workshops) 2022: 171-179 - [c64]Ankit Khandelwal, M. Girish Chandra, Sayantan Pramanik:
On Classifying Images using Quantum Image Representation. SEC 2022: 444-449 - [c63]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:
A Quantum-Classical Hybrid Method for Image Classification and Segmentation. SEC 2022: 450-455 - [c62]Utso Majumder, Aditya Das Sarma, Vishnu Vaidya, M. Girish Chandra:
On Quantum-Enhanced LDPC Decoding for Rayleigh Fading Channels. SEC 2022: 462-467 - [c61]Aditya Das Sarma, Utso Majumder, Vishnu Vaidya, M. Girish Chandra, Achanna Anil Kumar, Sayantan Pramanik:
On Quantum-Assisted LDPC Decoding Augmented with Classical Post-processing. PPAM (2) 2022: 153-164 - [c60]Sayantan Pramanik, Vishnu Vaidya, Gajendra Malviya, Sudhir K. Sinha, Shripad Salsingikar, M. Girish Chandra, C. V. Sridhar, Godfrey Mathais, Vidyut Navelkar:
Optimization of Sensor-Placement on Vehicles using Quantum-Classical Hybrid Methods. QCE 2022: 820-823 - [c59]Naveen Kumar Thokala, Spoorthy Paresh, M. Girish Chandra:
An effective electrical load disaggregation approach for low-sampled smart meter data. BuildSys 2022: 149-158 - [c58]Naibedya Pattnaik, Uday Sai Vemula, Kriti Kumar, Achanna Anil Kumar, Angshul Majumdar, M. Girish Chandra, Arpan Pal:
CycleGAN Based Unsupervised Domain Adaptation for Machine Fault Diagnosis. SenSys 2022: 973-979 - 2021
- [c57]Arup Kumar Das, Kriti Kumar, Angshul Majumdar, Saurabh Sahu, M. Girish Chandra:
Multi-Sensor Fusion Framework using Discriminative Autoencoders. EUSIPCO 2021: 1351-1355 - [c56]Andrew Gigie, Achanna Anil Kumar, Angshul Majumdar, Kriti Kumar, M. Girish Chandra:
Joint Coupled Transform Learning Framework for Multimodal Image Super-Resolution. ICASSP 2021: 1640-1644 - [c55]Kriti Kumar, Saurabh Sahu, Angshul Majumdar, M. Girish Chandra:
AutoFuse: A Semi-supervised Autoencoder based Multi-Sensor Fusion Framework. IJCNN 2021: 1-7 - [c54]Sayantan Pramanik, M. Girish Chandra:
On a Possible Quantum Variational Autoencoder Circuit. IJCNN 2021: 1-6 - [c53]Sayantan Pramanik, M. Girish Chandra:
On Generating a Probability Distribution Amenable to NISQ Using Modifications to Grover's Algorithm. QCE 2021: 447-449 - [c52]Spoorthy Paresh, Naveen Kumar Thokala, Vishnu Brindavanam, M. Girish Chandra:
A representational learning assisted matrix factorization approach for electrical load disaggregation. BuildSys 2021: 281-285 - [i5]Bhaskar Ramasubramanian, M. A. Rajan, M. Girish Chandra, Rance Cleaveland, Steven I. Marcus:
Resilience to Denial-of-Service and Integrity Attacks: A Structured Systems Approach. CoRR abs/2109.01224 (2021) - 2020
- [c51]Arup Kumar Das, Kriti Kumar, Rahul D. Gavas, Dibyanshu Jaiswal, Debatri Chatterjee, Ramesh Kumar Ramakrishnan, M. Girish Chandra, Arpan Pal:
Cognitive Fatigue Detection from EEG Signals using Topological Signal Processing. EUSIPCO 2020: 1313-1317 - [c50]Kriti Kumar, M. Girish Chandra:
Transform Learning Assisted Graph Signal Processing for Low Rate Electrical Load Disaggregation. EUSIPCO 2020: 1673-1677 - [c49]Saurabh Sahu, Kriti Kumar, Angshul Majumdar, M. Girish Chandra:
Deep Transform Learning for Multi-Sensor Fusion. EUSIPCO 2020: 1996-2000 - [c48]Rahul Gavas, Mithun B. Sheshachala, Debatri Chatterjee, Ramesh Kumar Ramakrishnan, Venkata Subramanian Viraraghavan, Achanna Anil Kumar, M. Girish Chandra:
Blink rate variability: a marker of sustained attention during a visual task. UbiComp/ISWC Adjunct 2020: 450-455 - [c47]Spoorthy Paresh, Naveen Kumar Thokala, Angshul Majumdar, M. Girish Chandra:
Multi-Label Auto-Encoder based Electrical Load Disaggregation. IJCNN 2020: 1-6
2010 – 2019
- 2019
- [c46]Kriti Kumar, M. Girish Chandra, Achanna Anil Kumar, Naveen Kumar Thokala:
Low Sampling Rate Electrical Load Disaggregation Using Dictionary Representation and Graph Signal Smoothness. e-Energy 2019: 47-51 - [c45]Subbareddy Batreddy, Kriti Kumar, M. Girish Chandra:
On Using Graph Signal Processing for Electrical Load Disaggregation. HiPC Workshops 2019: 2-7 - [c44]Snehasis Banerjee, Mariswamy Girish Chandra:
A software framework for procedural knowledge based collaborative data analytics for IoT. SERP4IoT@ICSE 2019: 41-48 - [c43]Sanjay Manjunath, Achanna Anil Kumar, M. Girish Chandra, Tapas Chakravarty:
Near-Field Sub-Nyquist Source Localization via Uniform Linear Array. IEEE SENSORS 2019: 1-4 - [c42]Karumanchi Ravikumar, Kriti Kumar, Naveen Kumar Thokala, M. Girish Chandra:
Enterprise System Response Time Prediction Using Non-stationary Function Approximations. IWANN (1) 2019: 74-87 - [c41]Naveen Kumar Thokala, S. Spoorthy, M. Girish Chandra:
A Scalable Long-Horizon Forecasting of Building Electricity Consumption. IWANN (1) 2019: 174-185 - [c40]Naveen Kumar Thokala, Kriti Kumar, M. Girish Chandra, Karumanchi Ravikumar:
Long-Term Forecasting of Heterogenous Variables with Automatic Algorithm Selection. IWANN (1) 2019: 186-197 - [c39]Kriti Kumar, Angshul Majumdar, M. Girish Chandra, Achanna Anil Kumar:
Transform Learning Based Function Approximation for Regression and Forecasting. AALTD@PKDD/ECML 2019: 14-25 - [c38]Rajasekhar Gopu, Anusha Gudimallam, Vishnu Brindavanam, Naveen Kumar Thokala, M. Girish Chandra:
On Electrical Load Disaggregation using Recurrent Neural Networks. BuildSys 2019: 364-365 - [c37]Spoorthy Paresh, Naveen Kumar Thokala, M. Girish Chandra:
Electrical Load Disaggregation using a two-stage deep learning approach. BuildSys 2019: 366-367 - 2018
- [c36]Achanna Anil Kumar, N. Narendra, P. Balamuralidhar, M. Girish Chandra:
Efficient Ambiguity Resolution in Polarimetric Multi-View Stereo. EUSIPCO 2018: 395-399 - [c35]Achanna Anil Kumar, N. Narendra, M. Girish Chandra, Kriti Kumar:
Sampling and Reconstruction of Band-limited Graph Signals using Graph Syndromes. EUSIPCO 2018: 892-896 - [c34]Kriti Kumar, M. Girish Chandra, Aakanksha Bapna, Achanna Anil Kumar:
Graph Structured Dictionary for Regression. EUSIPCO 2018: 1072-1076 - [c33]Achanna Anil Kumar, N. Narendra, P. Balamuralidhar, M. Girish Chandra:
Computationally Efficient Image Super Resolution from Totally Aliased Low Resolution Images. EUSIPCO 2018: 2245-2249 - [c32]Kriti Kumar, Angshul Majumdar, M. Girish Chandra, Achanna Anil Kumar:
Regressing Kernel Dictionary Learning. ICASSP 2018: 2756-2760 - [c31]Naveen Kumar Thokala, Aakanksha Bapna, M. Girish Chandra:
A deployable electrical load forecasting solution for commercial buildings. ICIT 2018: 1101-1106 - [c30]Kriti Kumar, Aakanksha Bapna, M. Girish Chandra, Naveen Kumar Thokala:
Tool Wear Prediction using Function Approximation Driven by Signal Processing. IECON 2018: 2742-2747 - 2017
- [c29]Achanna Anil Kumar, M. Girish Chandra, P. Balamuralidhar:
Joint frequency and 2-D DOA recovery with sub-Nyquist difference space-time array. EUSIPCO 2017: 400-404 - 2016
- [c28]M. A. Rajan, Ashley Varghese, N. Narendra, Meena Singh Dilip Singh, V. L. Shivraj, M. Girish Chandra, P. Balamuralidhar:
Security and Privacy for Real Time Video Streaming Using Hierarchical Inner Product Encryption Based Publish-Subscribe Architecture. AINA Workshops 2016: 373-380 - [c27]Bhaskar Ramasubramanian, M. A. Rajan, M. Girish Chandra:
Structural resilience of cyberphysical systems under attack. ACC 2016: 283-289 - [c26]N. Narendra, Achanna Anil Kumar, M. Girish Chandra, P. Balamuralidhar:
On efficient encoding of foreground objects using Hermitian Symmetric DFT codes. APSIPA 2016: 1-8 - [c25]Achanna Anil Kumar, Sirajudeen Gulam Razul, M. Girish Chandra, Chong Meng Samson See, P. Balamuralidhar:
Joint frequency and direction of arrival estimation with space-time array. SAM 2016: 1-5 - [c24]Rahul Sinha, S. Spoorthy, Prerna Khurana, M. Girish Chandra:
Power system load data models and disaggregation based on sparse approximations. INDIN 2016: 292-299 - [c23]Naveen Kumar Thokala, M. Girish Chandra:
Disaggregated Forecasting for Large Office Buildings: Poster Abstract. BuildSys 2016: 231-232 - [c22]Prasant Misra, Achanna Anil Kumar, M. Girish Chandra, P. Balamurali:
Energy Efficient GPS Acquisition with Sparse-GPS+: Poster Abstract. SenSys 2016: 340-341 - 2015
- [j2]Aditya Rao, Deepthi P., C. H. Renumadhavi, M. Girish Chandra, Rajgopal Srinivasan:
Compressed Sensing Methods for DNA Microarrays, RNA Interference, and Metagenomics. J. Comput. Biol. 22(2): 145-158 (2015) - [c21]Snigdha Tariyal, N. Narendra, M. Girish Chandra:
JL Lemma Based Dimensionality Reduction: On Using CDS Based Partial Fourier Matrices. HiPC Workshops 2015: 44-47 - [c20]Bharat Venkitesh, Pavan Kumar Reddy K, M. Girish Chandra:
Sequential Multilinear Subspace Based Event Detection in Large Video Data Sequences. HiPC Workshops 2015: 48-51 - 2014
- [c19]N. Narendra, Pavan K. Reddy, Kriti Kumar, Ashley Varghese, Prashanth Swamy, M. Girish Chandra, P. Balamuralidhar:
MobiCoStream: Real-time collaborative video upstream for Mobile Augmented Reality applications. IEEE ANTS 2014: 1-6 - [c18]Krishnan Srinivasarengan, Y. G. Goutam, M. Girish Chandra:
Home Energy Simulation for Non-Intrusive Load Monitoring Applications. ES4CPS@DATE 2014: 9 - [c17]S. Guruprasad, M. Girish Chandra, P. Balamuralidhar:
A learning approach for identification of refrigerator load from aggregate load signal. ICACCI 2014: 376-379 - [c16]Krishnan Srinivasarengan, Y. G. Goutam, M. Girish Chandra:
A Knowledge Based Approach for Disaggregation of Low Frequency Consumption Data. SIRS 2014: 85-94 - [i4]Kriti Kumar, Ashley Varghese, Pavan K. Reddy, N. Narendra, Prashanth Swamy, M. Girish Chandra, P. Balamuralidhar:
An Improved Tracking using IMU and Vision Fusion for Mobile Augmented Reality Applications. CoRR abs/1411.2335 (2014) - 2013
- [c15]Swanand Kadhe, M. Girish Chandra, Balaji Janakiram:
A Network Coding Based Framework for Construction of Systematic Minimum Bandwidth Regenerating (MBR) Codes for Distributed Storage. COMAD 2013: 45-55 - [c14]Y. G. Goutam, M. Girish Chandra, Krishnan Srinivasarengan, Swanand Kadhe:
On electrical load disaggregation using factor graphs. ICACCI 2013: 1759-1764 - [c13]Krishnan Srinivasarengan, Y. G. Goutam, M. Girish Chandra, Swanand Kadhe:
A Framework for Non Intrusive Load Monitoring Using Bayesian Inference. IMIS 2013: 427-432 - 2011
- [c12]M. Raja Sekar, Vijay Vaidehi, P. Balamuralidhar, M. Girish Chandra:
A Real Time Surveillance System Using Wired and Wireless Sensor Networks by Multi-algorithmic Approach. DICTA 2011: 436-441 - [c11]B. S. Adiga, M. Girish Chandra, Shreeniwas Sapre:
Guaranteed error correction based on Fourier Compressive Sensing and Projective Geometry. ICASSP 2011: 3744-3747 - [c10]N. Venkatesh, Ruchir Gulati, Rajeev Bhujade, M. Girish Chandra:
Fixed-point implementation of isolated sub-word level speech recognition using hidden Markov models. SAC 2011: 368-373 - [c9]Rajarajan Sivaraj, Aravind Kota Gopalakrishna, M. Girish Chandra, P. Balamuralidhar:
QoS-enabled group communication in integrated VANET-LTE heterogeneous wireless networks. WiMob 2011: 17-24 - [i3]Jaydip Sen, M. Girish Chandra, P. Balamuralidhar, Harihara S. G., Harish Reddy:
A Distributed Protocol for Detection of Packet Dropping Attack in Mobile Ad Hoc Networks. CoRR abs/1111.0385 (2011) - [i2]Jaydip Sen, M. Girish Chandra, Harihara S. G., Harish Reddy, P. Balamuralidhar:
A Mechanism for Detection of Gray Hole Attack in Mobile Ad Hoc Networks. CoRR abs/1111.0386 (2011) - 2010
- [c8]Subramanyam G. Harihara, Balaji Janakiram, M. Girish Chandra, Aravind Kota Gopalakrishna, Swanand Kadhe, P. Balamuralidhar, B. S. Adiga:
SpreadStore: A LDPC Erasure Code Scheme for Distributed Storage System. DSDE 2010: 154-158 - [c7]R. Bhargavi, Vijay Vaidehi, P. T. V. Bhuvaneswari, P. Balamurali, M. Girish Chandra:
Complex Event Processing for Object Tracking in Wireless Sensor Networks. Web Intelligence/IAT Workshops 2010: 211-214 - [c6]R. Bhargavi, Vijay Vaidehi, P. T. V. Bhuvaneswari, P. Balamuralidhar, M. Girish Chandra:
Complex Event Processing for object tracking and intrusion detection in Wireless Sensor Networks. ICARCV 2010: 848-853 - [c5]Vijay Vaidehi, N. T. Naresh Babu, H. Avinash, M. D. Vimal, A. Sumitra, P. Balamuralidhar, M. Girish Chandra:
Face recognition using discrete cosine transform and fisher linear discriminant. ICARCV 2010: 1157-1160 - [i1]Jaydip Sen, P. Balamuralidhar, M. Girish Chandra, Harihara S. G., Harish Reddy:
Context Aware End-to-End Connectivity Management. CoRR abs/1012.2514 (2010)
2000 – 2009
- 2009
- [c4]Aravind Kota Gopalakrishna, Tapas Chakravarty, M. Girish Chandra, P. Balamuralidhar:
On the architecture of vehicle tracking system using wireless sensor devices. ICUMT 2009: 1-5 - 2008
- [c3]Harihara S. G., M. Girish Chandra, Tarakapraveen Uppalapati, B. S. Adiga:
Decoding architectures for Projective Geometry based LDPC codes. Wireless Days 2008: 1-5 - 2007
- [c2]Harish Reddy, M. Girish Chandra, P. Balamuralidhar, Harihara S. G., Kaushik Bhattacharya, Edward Joseph:
An Improved Time-of-Arrival Estimation for WLAN-Based Local Positioning. COMSWARE 2007 - [c1]Jaydip Sen, M. Girish Chandra, P. Balamuralidhar, Harihara S. G., Harish Reddy:
A Scheme of Certificate Authority for Ad Hoc Networks. DEXA Workshops 2007: 615-619
1990 – 1999
- 1996
- [j1]M. Girish Chandra, S. V. Narasimhan:
Exponential power estimation (EPE) based adaptive equalization for stationary and time varying channels. Signal Process. 54(1): 49-58 (1996)
Coauthor Index
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