| 2026 | ACL | Unlocking the Edge deployment and ondevice acceleration of multi-LoRA enabled one-for-all foundational LLM. | Sravanth Kodavanti, Sowmya Vajrala, Srinivas Soumitri Miriyala, Utsav Tiwari, Uttam Kumar, Utkarsh Kumar Mahawar, Achal Pratap Singh, Arya D, Narendra Mutyala, Vikram Nelvoy Rajendiran, Sharan Kumar Allur, Euntaik Lee, Dohyoung Kim, HyeonSu Lee, Gyusung Cho, JungBae Kim |
| 2026 | WACV | Bridging the Domain Gap in Agricultural Vision: Parameter-Efficient VLM Adaptation via Expert Descriptions. | Deeksha Aggarwal, Yash Mittal, Uttam Kumar |
| 2026 | WACV | FLASH-SAR: Fast Learning Self-Supervised Hierarchical Architecture for SAR. | Sai Shruti Prakhya, Uttam Kumar |
| 2025 | CIKM | Caption, Create, Continue: Continual Learning with Pre-trained Generative Vision-Language Models. | Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath Jayavelu |
| 2025 | PAKDD | VISOR: VIsual Seizure Onset Detection PeRsonalized for Epilepsy Patients. | Uttam Kumar, Ran Yu, Michael Wenzel, Elena Demidova |
| 2024 | ICIP | U-Tell: Unsupervised Task Expert Lifelong Learning. | Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath Jayavelu |
| 2024 | ICLR | Advancing Image Classification through Parameter-Efficient Fine-Tuning: A Study on LoRA with Plant Disease Detection Datasets. | Deeksha Aggarwal, Yash Mittal, Uttam Kumar |
| 2024 | PAKDD | Co-ReaSON: EEG-based Onset Detection of Focal Epileptic Seizures with Multimodal Feature Representations. | Uttam Kumar, Ran Yu, Michael Wenzel, Elena Demidova |
| 2023 | ICIP | Data Generation with Structure Enforcing Adversarial Learning. | Indu Solomon, Uttam Kumar, Senthilnath Jayavelu |
| 2023 | ICONIP | Probabilistic AutoRegressive Neural Networks for Accurate Long-Range Forecasting. | Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Abdenour Hadid |
| 2023 | IGARSS | Topological Classification of Small and Medium Sized Urban Road Networks - A Case Study of Indian Cities. | Rahisha Thottolil, Uttam Kumar |
| 2022 | CIKM | Data Oversampling with Structure Preserving Variational Learning. | Indu Solomon, Senthilnath Jayavelu, Md Meftahul Ferdaus, Uttam Kumar |
| 2022 | COMAD | Towards Building a Flexible Online Learning Model for Data Stream Classification. | Deeksha Aggarwal, Uttam Kumar, J. Senthilnath |
| 2022 | COMAD | PPDL - Privacy Preserving Deep Learning Using Homomorphic Encryption. | Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar |
| 2021 | MMSP | Optimizing Homomorphic Encryption based Secure Image Analytics. | Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar |
| 2020 | Tencon | Automatic pothole classification and segmentation using android smartphone sensors and camera images with machine learning techniques. | Sowbarnika Thiruppathiraj, Uttam Kumar, Swapnil Buchke |
| 2015 | IRI | Simplex Projection for Land Cover Information Mining from Landsat-5 TM Data. | Uttam Kumar, Cristina Milesi, Sangram Ganguly, S. Kumar Raja, Ramakrishna R. Nemani |
| 2015 | IRI | Unconstrained Linear Spectral Mixture Models for Spatial Information Extraction: A Comparative Study. | Uttam Kumar, Cristina Milesi, S. Kumar Raja, Sangram Ganguly, Ramakrishna R. Nemani |