Publications:
Conference:
Sudipta Saha Shubha, Ayush Goel, Diman Zad Tootaghaj, Khaled Diab, Hardik Soni, K. K. Ramakrishnan, Puneet Sharma, Haiying Shen, "AdaGen: Workload-Adaptive Cluster Scheduler for Latency-Optimal LLM Inference Serving". Proc. of EuroSys 2026 (To Appear).
Sudipta Saha Shubha, Haiying Shen, and Ganesh Ananthanarayanan, "CIS: Checkpointed Inference for Data Drift-Resilient Model Serving at Edge Servers". Proc. of SoCC 2025 (To Appear).
Sudipta Saha Shubha, Haiying Shen, and Anand Iyer, "USHER: Holistic Interference Avoidance for Resource Optimized ML Inference". Proc. of OSDI 2024 [pdf], July 10-13, 2024, Santa Clara, CA, USA [acceptance rate: 15.6%] [Awarded USENIX Travel Grant].
Sudipta Saha Shubha and Haiying Shen, "An Accurate and Efficient Clustered Federated Learning for Mobile Edge Devices". Proc. of ACM/IEEE Symposium on Edge Computing (SEC 2024) [pdf], December 4-7, 2024, Rome, Italy.
Sudipta Saha Shubha and Haiying Shen, "AdaInf: Data Drift Adaptive Scheduling for Accurate and SLO-guaranteed Multiple-Model Inference Serving at Edge Servers". Proc. of SIGCOMM 2023 [pdf], September 10-14, 2023, NYC, USA [acceptance rate: 19.4%] [Awarded ACM SIGCOMM Travel Grant].
Sudipta Saha Shubha, Shohaib Mahmud, Haiying Shen, Geoffrey C. Fox, Madhav Marathe, "Accurate and Efficient Distributed COVID-19 Spread Prediction based on a Large-Scale Time-Varying People Mobility Graph". Proc. of The 37th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2023), May 15-19, 2023, Florida, USA [pdf] [acceptance rate: 23.5%] [Awarded NSF Travel Grant].
Sudipta Saha Shubha and Haiying Shen, "Trustworthy Distributed Deep Neural Network Training in an Edge Device Network". Proc. of The 2022 IEEE International Conference on Big Data (IEEE BigData 2022), December 17-20, 2022, Osaka, Japan. [acceptance rate: 18.6%]
Sudipta Saha Shubha, Shohaib Mahmud, and Haiying Shen, "Challenges of Distributed Computing for Pandemic Spread Prediction based on Large-Scale Human Interaction Data", Proc. of the 14th International Conference on Cloud Computing (IEEE CLOUD 2021). [pdf] [acceptance rate: 18.97%]
Sudipta Saha Shubha, Tanmoy Sen, Haiying Shen, and Matthew Normansell, "A Diverse Noise Resilient DNN Ensemble Model on Edge Devices for Time-Series Data", Proc. of the 18th IEEE International Conference on Sensing, Communication, and Networking (IEEE SECON 2021). [pdf] [acceptance rate: 26.4%]
Shafayat Ahmed*, Nafis Sadeq*, Sudipta Saha Shubha*, Md. Nahidul Islam, Muhammad Abdullah Adnan and Mohammad Zuberul Islam, "Preparation of Bangla Speech Corpus from Publicly Available Audio & Text", Proc. of the 12th International Conference on Language Resources and Evaluation (LREC 2020), Paris, France, May 11-16, 2020. [pdf][*co-first authors]
Nafis Sadeq, Shafayat Ahmed, Sudipta Saha Shubha, Md. Nahidul Islam, Muhammad Abdullah Adnan, "Bangla Voice Command Recognition in End-To-End System using Topic Modeling Based Contextual Rescoring", Proc. of the 45th IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2020), Barcelona, Spain, May 4-8, 2020. [pdf]
Sudipta Saha Shubha, Nafis Sadeq, Shafayat Ahmed, Md. Nahidul Islam, Muhammad Abdullah Adnan, Md. Yasin Ali Khan and Mohammad Zuberul Islam, "Customizing Grapheme-to-Phoneme System for Non-Trivial Transcription Problems in Bangla Language", Proc. of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2019), Minneapolis, USA, 2019, Pages 3191-3200. [pdf] [acceptance rate: 22.6%] [Awarded ACL Travel Grant]
Journal:
Sirat Samyoun, Sudipta Saha Shubha, Md Abu Sayeed Mondol, John A. Stankovic, "iWash: A Smartwatch Handwashing Quality Assessment and Reminder System with Real-time Feedback in the Context of Infectious Disease", Elsevier Smart Health, 2021. [paper]
Abdullah Al Zishan, Imtiaz Karim, Sudipta Saha Shubha, and Ashikur Rahman, "Maximizing heterogeneous coverage in over and under provisioned visual sensor networks", Journal of Network and Computer Applications (JNCA), Elsevier, 2018, Volume 124, Pages 44-62. [pdf] [Journal Impact Factor: 6.281]
(This journal paper is based on my undergraduate thesis work supervised by Dr. A.K.M. Ashikur Rahman)
Research Overview:
I am broadly interested in research opportunities at the intersection of networked systems and machine learning. My research works involve cloud/high-performance/edge computing, computer networks, operating system, GPU/TPU architecture, and deep learning.