Machine learning-based instantaneous cutting force model for end milling operation. - Shubham Vaishnav; Ankit Agarwal; K. A. Desai (J. Intell. Manuf., 2020)

Long Short-Term Memory-Based Cutting Depth Monitoring System for End Milling Operation. - Shubham Vaishnav; K. A. Desai (J. Comput. Inf. Sci. Eng., 2022)

Energy-Efficient and Adaptive Gradient Sparsification for Federated Learning. - Shubham Vaishnav; Maria Efthymiou; Sindri Magnússon (ICC, 2023)

Intelligent Processing of Data Streams on the Edge Using Reinforcement Learning. - Shubham Vaishnav; Sindri Magnússon (ICC Workshops, 2023)

Communication-Adaptive-Gradient Sparsification for Federated Learning With Error Compensation. - Shubham Vaishnav; Sarit Khirirat; Sindri Magnússon (IEEE Internet Things J., 2025)

Dynamic and Distributed Routing in IoT Networks based on Multi-Objective Q-Learning. - Shubham Vaishnav; Praveen Kumar Donta; Sindri Magnússon (CoRR, 2025)

Adaptive Budgeted Multi-Armed Bandits for IoT with Dynamic Resource Constraints. - Shubham Vaishnav; Praveen Kumar Donta; Sindri Magnússon (CoRR, 2025)