| 2026 | KDD | Non-overlapped Frequency based Episode Significance under Markov Null Models. | Avinash Achar, Santhosh B. Gandreti, Subbayya Sastry Pidaparthy |
| 2025 | IJCNN | SEDX: Seasonal Encoder-Decoder for Forecasting. | Avinash Achar, Soumen Pachal, Subhadeep Banik |
| 2024 | ACML | GRU-M: A Joint Impute and Learn Approach for Sequential Prediction under Missing Data. | Soumen Pachal, Avinash Achar, Nancy Bhutani, Akash Das |
| 2024 | PKAW | Seq2Seq RNNs for Bus Arrival Time Prediction. | Nancy Bhutani, Soumen Pachal, Avinash Achar |
| 2022 | CIKM | Sequence Prediction under Missing Data: An RNN Approach without Imputation. | Soumen Pachal, Avinash Achar |
| 2020 | IJCNN | Dynamic Bus Arrival Time Prediction: A temporal difference learning approach. | L. K. P. Vignesh, Avinash Achar, Gokul Karthik |
| 2019 | IJCNN | Dynamic Bus Arrival Time Prediction exploiting Non-linear Correlations. | Avinash Achar, Rohith Regikumar, B. Anil Kumar |
| 2018 | AAAI | Predicting Vehicular Travel Times by Modeling Heterogeneous Influences Between Arterial Roads. | Avinash Achar, Venkatesh Sarangan, Rohith Regikumar, Anand Sivasubramaniam |