M. Corici, M. Caus, X. Artiga, et al., “Transforming 5g mega-constellation communications: A self-organized network architecture perspective,” IEEE Access, 2025. doi: 10.1109/access.2025.3530930.
D. Naseh, S. S. Shinde, and D. Tarchi, “Network sliced distributed learning-as-a-service for internet of vehicles applications in 6g non-terrestrial network scenarios,” Journal of Sensor and Actuator Networks, vol. 13, no. 1, p. 14, 2024. doi: 10.3390/jsan13010014.
S. S. Shinde and D. Tarchi, “Hierarchical reinforcement learning for multi-layer multi-service non-terrestrial vehicular edge computing,” IEEE Transactions on Machine Learning in Communications and Networking, 2024. doi: 10.1109/TMLCN.2024.3433620.
S. S. Shinde and D. Tarchi, “Multi-time-scale markov decision process for joint service placement, network selection, and computation offloading in aerial IoV scenarios,” IEEE Transactions on Network Science and Engineering, 2024. doi: 10.1109/TNSE.2024.3445890.
N. Girelli Consolaro, S. S. Shinde, D. Naseh, and D. Tarchi, “Analysis and performance evaluation of transfer learning algorithms for 6g wireless networks,” Electronics, vol. 12, no. 15, p. 3327, 2023. doi: 10.3390/electronics12153327.
L. Ridolfi, D. Naseh, S. S. Shinde, and D. Tarchi, “Implementation and evaluation of a federated learning framework on raspberry pi platforms for IoT 6g applications,” Future Internet, vol. 15, no. 11, p. 358, 2023. doi: 10.3390/fi15110358.
S. S. Shinde and D. Tarchi, “A markov decision process solution for energy-saving network selection and computation offloading in vehicular networks,” IEEE Transactions on Vehicular Technology, vol. 72, no. 9, pp. 12031–12046, 2023. doi: 10.1109/TVT.2023.3264504.
S. S. Shinde and D. Tarchi, “Joint air-ground distributed federated learning for intelligent transportation systems,” IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 9, pp. 9996–10011, 2023. doi: 10.1109/TITS.2023.3265416.
F. Adelantado, M. Ammouriova, E. Herrera, A. A. Juan, S. S. Shinde, and D. Tarchi, “Internet of vehicles and real-time optimization algorithms: Concepts for vehicle networking in smart cities,” Vehicles, vol. 4, no. 4, pp. 1223–1245, 2022. doi: 10.3390/vehicles4040065.
E. Muscinelli, S. S. Shinde, and D. Tarchi, “Overview of distributed machine learning techniques for 6g networks,” Algorithms, vol. 15, no. 6, p. 210, 2022. doi: 10.3390/a15060210.
S. S. Shinde and D. Tarchi, “Collaborative reinforcement learning for multi-service internet of vehicles,” IEEE Internet of Things Journal, vol. 10, no. 3, pp. 2589–2602, 2022. doi: 10.1109/JIOT.2022.3213993.
S. S. Shinde, A. Bozorgchenani, D. Tarchi, and Q. Ni, “On the design of federated learning in latency and energy constrained computation offloading operations in vehicular edge computing systems,” IEEE Transactions on Vehicular Technology, vol. 71, no. 2, pp. 2041–2057, 2021. doi: 10.1109/TVT.2021.3135332.
S. S. Shinde, D. Marabissi, and D. Tarchi, “A network operator-biased approach for multi-service network function placement in a 5g network slicing architecture,” Computer Networks, vol. 201, p. 108598, 2021. doi: 10.1016/j.comnet.2021.108598.
S. S. Shinde and D. Tarchi, “Towards a novel air–ground intelligent platform for vehicular networks: Technologies, scenarios, and challenges,” Smart Cities, vol. 4, no. 4, pp. 1469–1495, 2021. doi: 10.3390/smartcities4040078.
I. Mohammed, S. J. Geetha, S. S. Shinde, K. Rajawat, and S. Chakrabarti, “Modified re-iterated kalman filter for handling delayed and lost measurements in power system state estimation,” IEEE Sensors Journal, vol. 20, no. 7, pp. 3946–3955, 2019. doi: 10.1109/JSEN.2019.2959663.
P. Kokil and S. S. Shinde, “A note on the induced l∞ stability of fixed-point digital filters without overflow oscillations and instability due to finite wordlength effects,” Circuits, Systems, and Signal Processing, vol. 36, pp. 1288–1300, 2017. doi: 10.1007/s00034-016-0348-x.
P. Kokil and S. S. Shinde, “An improved criterion for peak-to-peak realization of direct-form interfered digital filters employing saturation nonlinearities,” COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, vol. 34, no. 3, pp. 996–1010, 2015. doi: 10.1108/COMPEL-07-2014-0166.
P. Kokil and S. S. Shinde, “Asymptotic stability of fixed-point state-space digital filters with saturation arithmetic and external disturbance: An ioss approach,” Circuits, Systems, and Signal Processing, vol. 34, pp. 3965–3977, 2015. doi: 10.1007/s00034-015-0050-4.
S. S. Shinde, D. Naseh, T. De Cola, and D. Tarchi, “A distributed task allocation methodology for edge computing in a leo satellite iot context,” in Accepted for presentation, 112th Advanced Satellite Multimedia Systems Conference and the 18th Signal Processing for Space Communications Workshop (ASMS/SPSC), 2025.
D. Naseh, S. S. Shinde, and D. Tarchi, “Distributed learning framework for earth observation on multilayer non-terrestrial networks,” in 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), IEEE, 2024, pp. 1–2. doi: 10.1109/ICMLCN59089.2024.10625007.
D. Naseh, S. S. Shinde, and D. Tarchi, “Multi-layer distributed learning for intelligent transportation systems in 6g aerial-ground integrated networks,” in 2024 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), IEEE, 2024, pp. 711–716. doi: 10.1109/EuCNC/6GSummit60053.2024.10597130.
S. S. Shinde, D. Naseh, and D. Tarchi, “ML-based intelligent o-ran control in 6g integrated terrestrial and non-terrestrial networks,” in Presented-2024 IEEE Global Communications Conference, 2024.
S. S. Shinde and D. Tarchi, “A time-continuous federated learning framework for enabling intelligent applications over latency-critical aerial networks,” in 2024 IEEE Wireless Communications and Networking Conference (WCNC), IEEE, 2024, pp. 1–6. doi: 10.1109/WCNC57260.2024.10570608.
S. S. Shinde and D. Tarchi, “Integrated aerial-ground computation offloading for dependency-aware IoV multitask services,” in 2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), IEEE, 2024, pp. 317–322. doi: 10.1109/meditcom61057.2024.10621308.
A. Abbasi, S. S. Shinde, and D. Tarchi, “Networked federated learning-based intelligent vehicular traffic management in IoV scenarios,” in GLOBECOM 2023-2023 IEEE Global Communications Conference, IEEE, 2023, pp. 1357–1362. doi: 10.1109/GLOBECOM54140.2023.10436738.
D. Naseh, S. S. Shinde, and D. Tarchi, “Enabling intelligent vehicular networks through distributed learning in the non-terrestrial networks 6g vision,” in European Wireless 2023; 28th European Wireless Conference, VDE, 2023, pp. 136–141.
S. S. Shinde, D. Naseh, and D. Tarchi, “In-space computation offloading for multi-layer leo constellations,” in European Wireless 2023; 28th European Wireless Conference, VDE, 2023, pp. 82–89.
S. S. Shinde and D. Tarchi, “Network selection and computation offloading in non-terrestrial network edge computing environments for vehicular applications,” in 2022 11th Advanced Satellite Multimedia Systems Conference and the 17th Signal Processing for Space Communications Workshop (ASMS/SPSC), IEEE, 2022, pp. 1–8. doi: 10.1109/ASMS/SPSC55670.2022.9914757.
S. S. Shinde, G. Guruvayoorappan, T. De Cola, and D. Tarchi, “In-space computing for IoT data processing via low earth orbit satellites,” Submitted to IEEE ICC 2025 Workshop - 6GSatCommNet, 2025.