| 2024 | MOBICOM | SEEN: ML Assisted Cellular Service Diagnosis. | Xiaofeng Shi, Amit Sheoran, Jia Wang, Mukesh Mantan |
| 2022 | LANMAN | Towards A Low-Cost Stateless 5G Core. | Umakant Kulkarni, Amit Sheoran, Sonia Fahmy |
| 2022 | LANMAN | ML-based Cellular Service Issue Troubleshooting Using Limited Ground Truth Data. | Xiaofeng Shi, Chen Qian, Amit Sheoran, Jia Wang |
| 2021 | INFOCOM | Robust 360° Video Streaming via Non-Linear Sampling. | Mijanur R. Palash, Voicu Popescu, Amit Sheoran, Sonia Fahmy |
| 2021 | Middleware | Procedure-driven deployment support for the microservice era. | Amit Sheoran, Sonia Fahmy, Puneet Sharma, Navin Modi |
| 2020 | AAAI | Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations. | Jianfei Gao, Mohamed A. Zahran, Amit Sheoran, Sonia Fahmy, Bruno Ribeiro |
| 2020 | MOBICOM | Experience: towards automated customer issue resolution in cellular networks. | Amit Sheoran, Sonia Fahmy, Matthew Osinski, Chunyi Peng, Bruno Ribeiro, Jia Wang |
| 2019 | ICNP | CoRE: Non-Linear 3D Sampling for Robust 360° Video Streaming. | Mijanur R. Palash, Voicu Popescu, Amit Sheoran, Sonia Fahmy |
| 2019 | INFOCOM | Nascent: Tackling Caller-ID Spoofing in 4G Networks via Efficient Network-Assisted Validation. | Amit Sheoran, Sonia Fahmy, Chunyi Peng, Navin Modi |
| 2017 | SIGCOMM | Contain-ed: An NFV Micro-Service System for Containing e2e Latency. | Amit Sheoran, Puneet Sharma, Sonia Fahmy, Vinay Saxena |