| 2022 | SENSYS | An effective electrical load disaggregation approach for low-sampled smart meter data. | Naveen Kumar Thokala, Spoorthy Paresh, 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 | 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 | IECON | Tool Wear Prediction using Function Approximation Driven by Signal Processing. | Kriti Kumar, Aakanksha Bapna, M. Girish Chandra, Naveen Kumar Thokala |
| 2017 | PERCOM | DMSense: A non-invasive Diabetes Mellitus Classification System using Photoplethysmogram signal. | V. Ramu Reddy, Anirban Dutta Choudhury, Parijat Deshpande, Srinivasan Jayaraman, Naveen Kumar Thokala, Venkatesh Kaliaperumal |
| 2016 | SENSYS | Disaggregated Forecasting for Large Office Buildings: Poster Abstract. | Naveen Kumar Thokala, M. Girish Chandra |