| 2025 | HCI | The Home in Smart Homes: Placemaking Through a Design Framework for Integrating Spatial Design and Smart Capabilities. | Archi Dasgupta, Sajal Dash, Denis Gracanin |
| 2025 | HiPC | A Parallel Alternative for Energy-Efficient Neural Network Training and Inferencing. | Sudip K. Seal, Maksudul Alam, Jorge Ramirez, Sajal Dash, Hao Lu |
| 2025 | SC | X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms. | Yueming Yuan, Ahan Gupta, Jianping Li, Sajal Dash, Feiyi Wang, Minjia Zhang |
| 2024 | IGARSS | Exploring Vision Transformers on the Frontier Supercomputer for Remote Sensing and Geoscientific Applications. | Valentine Anantharaj, Takuya Kurihana, Sajal Dash, Gabriele Padovani, Sandro Fiore |
| 2023 | SC | FORGE: Pre-Training Open Foundation Models for Science. | Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar |
| 2022 | CLUSTER | Hvac: Removing I/O Bottleneck for Large-Scale Deep Learning Applications. | Awais Khan, Arnab K. Paul, Christopher Zimmer, Sarp Oral, Sajal Dash, Scott Atchley, Feiyi Wang |
| 2021 | SC | Mitigating Catastrophic Forgetting in Deep Learning in a Streaming Setting Using Historical Summary. | Sajal Dash, Junqi Yin, Mallikarjun Shankar, Feiyi Wang, Wu-chun Feng |
| 2019 | SC | Strategies to Deploy and Scale Deep Learning on the Summit Supercomputer. | Junqi Yin, Shubhankar Gahlot, Nouamane Laanait, Ketan Maheshwari, Jack Morrison, Sajal Dash, Mallikarjun Shankar |
| 2017 | HPCC | Portable Parallel Design of Weighted Multi-Dimensional Scaling for Real-Time Data Analysis. | Sajal Dash, Anshuman Verma, Chris North, Wu-chun Feng |