Lei Feng

KTH Royal Institute of Technology

Sweden

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Articles (17)

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2025

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2025

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2025

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2023

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2023

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2022

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2022

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2022

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2022

Collaborators (9)

Kaige Tan

KTH Royal Institute of Technology

SWEDEN

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György Dán

Professor at KTH Royal Institute of Technology

KTH Royal Institute of Technology

SWEDEN

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Qinglei Ji

KTH Royal Institute of Technology

SWEDEN

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Georgios Andrikopoulos

Assistant Professor

KTH Royal Institute of Technology

SWEDEN

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Tong Liu

KTH Royal Institute of Technology

SWEDEN

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Chao Yang

Aalto University

FINLAND

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Riku Ala-Laurinaho

Aalto University

FINLAND

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Martin Törngren

Professor at KTH Royal Institute of Technology

KTH Royal Institute of Technology

SWEDEN

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Muhammad Rusyadi Ramli

KTH Royal Institute of Technology

SWEDEN

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Lei Feng

Research Interests

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Articles (17)

A digital twin-driven industrial context-aware system: A case study of overhead crane operation

Multi-objective co-optimization of powertrain sizing, energy management, and eco-driving for the architectural design of electric vehicles

Enhancing smart tightening diagnosis: A transformer-based approach with sensor fusion, self-supervised learning and data augmentation

Nonblocking Modular Supervisory Control of Discrete Event Systems via Reinforcement Learning and K-Means Clustering

Enhancing Off-Road Topography Estimation by Fusing LIDAR and Stereo Camera Data with Interpolated Ground Plane

Optimal gait design for a soft quadruped robot via multi-fidelity Bayesian optimization

Synthesis of Opacity-Enforcing Supervisory Strategies Using Reinforcement Learning

Edge-Enabled Adaptive Shape Estimation of 3-D Printed Soft Actuators With Gaussian Processes and Unscented Kalman Filters

A deep learning based sensor fusion method to diagnose tightening errors

A model-based deep reinforcement learning approach to the nonblocking coordination of modular supervisors of discrete event systems

Computationally Efficient Energy Management for a Parallel Hybrid Electric Vehicle Using Adaptive Dynamic Programming

Model Abstraction for Discrete-Event Systems Using a SAT Solver

Reducing the Learning Time of Reinforcement Learning for the Supervisory Control of Discrete Event Systems

Synthesizing the optimal gait of a quadruped robot with soft actuators using deep reinforcement learning

Decentralized Convex Optimization for Joint Task Offloading and Resource Allocation of Vehicular Edge Computing Systems

Edge Computing for Cyber-physical Systems: A Systematic Mapping Study Emphasizing Trustworthiness

Shape Estimation of a 3D Printed Soft Sensor Using Multi-Hypothesis Extended Kalman Filter

Collaborators (9)

Kaige Tan

György Dán

Qinglei Ji

Georgios Andrikopoulos

Tong Liu

Chao Yang

Riku Ala-Laurinaho

Martin Törngren

Muhammad Rusyadi Ramli

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