My research interest includes:
Distributed Systems - Cloud and Edge Computing
Machine Learning
[C20.] T. Sen, H. Shen, A.Iyer. Flex: Fast, Accurate DNN Inference on Low-Cost Edges Using Heterogeneous Accelerator Execution. Proc. of EuroSys, 2025.
[C19.] T. Sen, H. Shen. Fault Tolerant Data and Model Parallel Deep Learning in Edge Computing Networks. Proc. of MASS, 2024.
[C18.] T. Sen, H. Shen. Elastically Scheduling Multiple DNN Inference Jobs on an Edge for High Efficiency and Accuracy. Proc. of MASS, 2024.
[C17.] T. Sen, H. Shen. A Data and Model Parallelism based Distributed Deep Learning System in a Network of Edge Devices. Proc. of ICCCN, 2023.
[C16.] T. Sen, H. Shen, and Z.Mehrab, Distributed Deep Learning in An Edge Computing System, 2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS), 2022. (Invited Paper) (Link)
[C15.] T. Sen and H. Shen, Distributed Training for Deep Learning Models On An Edge Computing Network Using Shielded Reinforcement Learning, 42nd IEEE International Conference on Distributed Computing Systems (ICDCS), 2022. (Link)
[C14.] H. Shen, F. Yao, T. Sen, G. Moreira and A. Sarker, Query-Efficient and Imperceptible Attacks on Multivariate Time Series DNN Models, 2022 IFIP Networking Conference (IFIP Networking), 2022. (Link)
[J1.] Z. Li, T. Sen, H. Shen and M. C. Chuah, A Study on the Impact of Memory DoS Attacks on Cloud Applications and Exploring Real-Time Detection Schemes, in IEEE/ACM Transactions on Networking, doi: 10.1109/TNET.2022.3144895. (Link)
[C13.] T. Sen, H. Shen, W. Saad and T. Doan, A Resilient and Robust Edge-Cloud Network System Supporting CPS, 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS), 2021. (Invited Paper) (Link)
[C12.] T. Sen and H. Shen, Context-aware Data Operation Strategies in Edge Systems for High Application Performance, 50th International Conference on Parallel Processing (ICPP), 2021. (Best Paper Candidate) (Link)
[C11.] X. Zhang, T. Sen, Z. Zhang, T. April, B. Chandrasekaran, D. Choffnes, B. M. Maggs, H. Shen, R. K. Sitaraman, X. Yang, AnyOpt: Predicting and Optimizing IP Anycast Performance, 2021 ACM SIGCOMM 2021 Conference, 2021. (Link)
[C10.] A. Sarker, H. Shen and T. Sen, A Suspicion-Free Black-box Adversarial Attack for Deep Driving Maneuver Classification Models, 2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS), 2021. (Link)
[C9.] A. Sarker, H. Shen and T. Sen, A Context-aware Black-box Adversarial Attack for Deep Driving Maneuver Classification Models, 2021 18th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), 2021. (Link)
[C8.] S. S. Shubha, T. Sen, H. Shen and M. Normansell, A Diverse Noise-Resilient DNN Ensemble Model on Edge Devices for Time-Series Data, 2021 18th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), 2021. (Link)
[C7.] T. Sen, H. Shen, and M. Normansell, NoiseSenseDNN: Modeling DNN for Sensor Data to Mitigate the Effect of Noise in Edge Devices, in the 2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), 2020. (Link)
[C6.] A. Sarker, H. Shen, T. Sen and H. Uehara, An Advanced Back-Box Adversarial Attack for Deep Driving Maneuver Classification Models, in the 2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), 2020. (Link)
[C5.] Z. Li, T. Sen, H. Shen, and M.C. Chuah, Impact of Memory DoS Attacks on Cloud Applications and Real-Time Detection Schemes, in the 49th International Conference on Parallel Processing (ICPP), 2020. (Link)
[C4.] T. Sen and H. Shen, Machine Learning based Timeliness-Guaranteed and Energy-Efficient Task Assignment in Edge Computing Systems, in the 3rd IEEE International Conference on Edge and Fog Computing in conjunction with CCGrid, 2019. (Link)
[C3.] H. Dev, M. E. Ali, J. Mahmud, T. Sen, M. Basak, and R. Paul, A Real-Time Crowd-Powered Testbed for Content Assessment of Potential Social Media Posts, in 7th International Conference on Social Informatics (SocInfo), 2015. (Link)
[C2.] H. Dev, M. E. Ali, J. Mahmud, T. Sen, M. Basak, AntiqueData: A Proxy to Maintain Computational Transparency in Cloud, in The Third International Workshop on Data Management for Network Infrastructure (DaMEN), 2014. (Link)
[C1.] H.Dev, T. Sen, M. Basak, and M.E. Ali, An Approach to Protect the Privacy of Cloud Data from Data Mining Based Attacks, The Third International Workshop on Data Intensive Computing in the Clouds (Datacloud), SuperComputing12, 2012. (Link)