| 2025 | QCE | Think Small: Quantum Autoencoders for Leaner Molecular Simulations. | Ankit Khandelwal, Nirmal M. R, M. Girish Chandra |
| 2024 | COMSNETS | Time-Series Forecasting Using Continuous Variables-Based Quantum Neural Networks. | Prabhat Anand, M. Girish Chandra, Ankit Khandelwal |
| 2024 | COMSNETS | Generative Learning with Qopula Circuits. | Amey Bhatuse, Ankit Khandelwal, M. Girish Chandra |
| 2024 | COMSNETS | Novel Objective Function and Expectation Value Estimation Method for the Variational Quantum Singular Value Decomposition Algorithm. | Jezer Jojo, Ankit Khandelwal, M. Girish Chandra |
| 2024 | COMSNETS | Quantum-Enhanced Resilient Reinforcement Learning Using Causal Inference. | Namasi G. Sankar, Ankit Khandelwal, M. Girish Chandra |
| 2024 | COMSNETS | MetQuan - A Comprehensive Toolkit for Variational Quantum Sensing and Metrology. | Kunal Sinha, Rajas Dalvi, M. Girish Chandra, Sourav Chatterjee |
| 2024 | QCE | Quantum Algorithms for Tensor-SVD. | Jezer Jojo, Ankit Khandelwal, M. Girish Chandra |
| 2023 | ICASSP | 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 |
| 2023 | QCE | Efficient and Flexible Annealer-Gate Hybrid Model for Solving Large-Scale Portfolio Optimization. | Naman Jain, Ankit Khandelwal, M. Girish Chandra |
| 2023 | QCE | Quantum Machine Learning with Quantum Topological Data Analysis. | Ankit Khandelwal, M. Girish Chandra |
| 2022 | ICDM | DeepDive: Deep Latent Factor Model for Enhancing Diversity in Recommender Systems. | Kriti Kumar, Angshul Majumdar, M. Girish Chandra |
| 2022 | PPAM | 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 |
| 2022 | QCE | 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 |
| 2022 | SENSYS | 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 |
| 2022 | SENSYS | An effective electrical load disaggregation approach for low-sampled smart meter data. | Naveen Kumar Thokala, Spoorthy Paresh, M. Girish Chandra |
| 2021 | ICASSP | Joint Coupled Transform Learning Framework for Multimodal Image Super-Resolution. | Andrew Gigie, Achanna Anil Kumar, Angshul Majumdar, Kriti Kumar, M. Girish Chandra |
| 2021 | IJCNN | AutoFuse: A Semi-supervised Autoencoder based Multi-Sensor Fusion Framework. | Kriti Kumar, Saurabh Sahu, Angshul Majumdar, M. Girish Chandra |
| 2021 | IJCNN | On a Possible Quantum Variational Autoencoder Circuit. | Sayantan Pramanik, M. Girish Chandra |
| 2021 | QCE | On Generating a Probability Distribution Amenable to NISQ Using Modifications to Grover's Algorithm. | Sayantan Pramanik, M. Girish Chandra |
| 2021 | SENSYS | A representational learning assisted matrix factorization approach for electrical load disaggregation. | Spoorthy Paresh, Naveen Kumar Thokala, Vishnu Brindavanam, M. Girish Chandra |
| 2020 | IJCNN | Multi-Label Auto-Encoder based Electrical Load Disaggregation. | Spoorthy Paresh, Naveen Kumar Thokala, Angshul Majumdar, M. Girish Chandra |
| 2019 | HiPC | On Using Graph Signal Processing for Electrical Load Disaggregation. | Subbareddy Batreddy, Kriti Kumar, M. Girish Chandra |
| 2019 | IWANN | Enterprise System Response Time Prediction Using Non-stationary Function Approximations. | Karumanchi Ravikumar, Kriti Kumar, Naveen Kumar Thokala, M. Girish Chandra |
| 2019 | IWANN | Long-Term Forecasting of Heterogenous Variables with Automatic Algorithm Selection. | Naveen Kumar Thokala, Kriti Kumar, M. Girish Chandra, Karumanchi Ravikumar |
| 2019 | IWANN | A Scalable Long-Horizon Forecasting of Building Electricity Consumption. | Naveen Kumar Thokala, S. Spoorthy, M. Girish Chandra |
| 2019 | SENSYS | On Electrical Load Disaggregation using Recurrent Neural Networks. | Rajasekhar Gopu, Anusha Gudimallam, Vishnu Brindavanam, Naveen Kumar Thokala, M. Girish Chandra |
| 2019 | SENSYS | Electrical Load Disaggregation using a two-stage deep learning approach. | Spoorthy Paresh, Naveen Kumar Thokala, M. Girish Chandra |
| 2018 | ICASSP | Regressing Kernel Dictionary Learning. | Kriti Kumar, Angshul Majumdar, M. Girish Chandra, Achanna Anil Kumar |
| 2018 | IECON | Tool Wear Prediction using Function Approximation Driven by Signal Processing. | Kriti Kumar, Aakanksha Bapna, M. Girish Chandra, Naveen Kumar Thokala |
| 2016 | AINA | 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 |
| 2016 | INDIN | Power system load data models and disaggregation based on sparse approximations. | Rahul Sinha, S. Spoorthy, Prerna Khurana, M. Girish Chandra |
| 2016 | SENSYS | Energy Efficient GPS Acquisition with Sparse-GPS+: Poster Abstract. | Prasant Misra, Achanna Anil Kumar, M. Girish Chandra, P. Balamurali |
| 2016 | SENSYS | Disaggregated Forecasting for Large Office Buildings: Poster Abstract. | Naveen Kumar Thokala, M. Girish Chandra |
| 2015 | HiPC | JL Lemma Based Dimensionality Reduction: On Using CDS Based Partial Fourier Matrices. | Snigdha Tariyal, N. Narendra, M. Girish Chandra |
| 2015 | HiPC | Sequential Multilinear Subspace Based Event Detection in Large Video Data Sequences. | Bharat Venkitesh, Pavan Kumar Reddy K, M. Girish Chandra |
| 2014 | DATE | Home Energy Simulation for Non-Intrusive Load Monitoring Applications. | Krishnan Srinivasarengan, Y. G. Goutam, M. Girish Chandra |
| 2013 | COMAD | A Network Coding Based Framework for Construction of Systematic Minimum Bandwidth Regenerating (MBR) Codes for Distributed Storage. | Swanand Kadhe, M. Girish Chandra, Balaji Janakiram |
| 2011 | DICTA | 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 |
| 2011 | ICASSP | Guaranteed error correction based on Fourier Compressive Sensing and Projective Geometry. | B. S. Adiga, M. Girish Chandra, Shreeniwas Sapre |
| 2011 | SAC | Fixed-point implementation of isolated sub-word level speech recognition using hidden Markov models. | N. Venkatesh, Ruchir Gulati, Rajeev Bhujade, M. Girish Chandra |
| 2011 | WiMob | QoS-enabled group communication in integrated VANET-LTE heterogeneous wireless networks. | Rajarajan Sivaraj, Aravind Kota Gopalakrishna, M. Girish Chandra, P. Balamuralidhar |
| 2010 | ICARCV | 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 |
| 2010 | ICARCV | 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 |