Moothedath VN, et.al. Inference Offloading for Cost-Sensitive Binary Classification at the Edge.
To Appear in Proceedings of the AAAI Conference on Artificial Intelligence, 2026.
Moothedath VN, et.al. Delay Analysis of 5G HARQ in the Presence of Decoding and Feedback Latencies.
A journal work under submission process. (arXiv preprint)
Moothedath VN, Champati JP, Gross J. Getting the Best Out of Both Worlds: Algorithms for Hierarchical Inference at the Edge. IEEE Transactions on Machine Learning in Communications and Networking. 2024 Feb 14.
Moothedath VN. Energy-Optimal Sampling for Edge Computing Feedback Systems: Aperiodic Case. In 2022 IEEE/ACM 7th Symposium on Edge Computing (SEC) 2022 Dec 5 (pp. 322-328).
Moothedath VN, Champati JP, Gross J. Energy Efficient Sampling Policies for Edge Computing Feedback Systems. IEEE Transactions on Mobile Computing. 2022 Apr 8;22(8):4634-47.
Moothedath VN, Champati JP, Gross J. Energy-optimal sampling of edge-based feedback systems. In 2021 IEEE International Conference on Communications Workshops (ICC Workshops) 2021 Jun 14 (pp. 1-6).
Moothedath VN, Bhashyam S. Distributed Pareto Optimal Beamforming for the MISO Multi-Band Multi-Cell Downlink. IEEE Transactions on Wireless Communications. 2020 Jul 22;19(11):7196-209.
Moothedath VN, Bhashyam S. Pareto Optimal Distributed Beamforming for the Multi-Band Multi-Cell Downlink. In GLOBECOM 2017-2017 IEEE Global Communications Conference 2017.
Seo S, Moothedath VN, et.al. On the Feasibility of URLLC with Mandatory 3GPP Features. (To Appear) on 2025 14th IFIP/IEEE International Conference on Performance Evaluation and Modelling in Wired and Wireless Networks (PEMWN)
Letsiou A, Moothedath VN, Behera AP, Gross J: Hierarchical Inference at the Edge: A Batch Processing Approach. In IEEE/ACM Symposium on Edge Computing (SEC) 2024 Dec 4-7.
Mostafavi S, Moothedath VN, Ronngren S, Roy N, Sharma GP, Seo S, Muñoz MO, Gross J. Expeca: An experimental platform for trustworthy edge computing applications. In Proceedings of the Eighth ACM/IEEE Symposium on Edge Computing 2023 Dec 6 (pp. 294-299).
Muñoz MO, Moothedath VN, Champati JP, Klatzky R, Satyanarayanan M, Gross J. Realistic Modeling of Human Timings for Wearable Cognitive Assistance. arXiv preprint arXiv:2212.06100. 2022 Dec 12.
Al-Atat G, Fresa A, Behera AP, Moothedath VN, Gross J, Champati JP. The case for hierarchical deep learning inference at the network edge. In Proceedings of the 1st International Workshop on Networked AI Systems 2023 Jun 18 (pp. 1-6).
Alsakati M, Pettersson C, Max S, Moothedath VN, Gross J. Performance of 802.11 be Wi-Fi 7 with multi-link operation on AR applications. In 2023 IEEE Wireless Communications and Networking Conference (WCNC) 2023 Mar 26 (pp. 1-6).
[Won the Best Paper Award]
Muñoz MO, Mostafavi SS, Moothedath VN, Gross J. Ainur: A framework for repeatable end-to-end wireless edge computing testbed research. In European Wireless 2022; 27th European Wireless Conference 2022 Sep 19 (pp. 1-7).