Dr. Mansoor Khan
Qilu Institute of Technology, Leshan Normal University
Research areas: Engineering · Electrical and Electronic Engineering · Multilevel Inverters and Converters · Electric Power Systems and Control · Electric Motor Design and Analysis
0000-0002-5769-7625
About
MANSOOR KHAN received the B.S. degree in Electrical (Electronics) Engineering from Bahria University, Pakistan, in 2012, the M.S. degree in Power Electronics & Power Drives from Beijing University of Aeronautics and Astronautics, China, in 2017, and the Ph.D. degree in Electrical Engineering and it’s Automation from Sichuan University, China, in 2020. He worked as an Associate Professor (2020-2023) with school of Electronic Information and Artificial Intelligence, Leshan Normal University, China. He is currently serving as an Associate Professor with the School of intelligent Manufacturing and Control Engineering, Qilu Institute of technology, Jinan, China. His research interests include Power Forecasting, Renewable Energy, Artificial Intelligence, Static Analysis, Computer Vision and Energy Governance.
Employment
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Qilu Institute of Technology Associate Professor2023 - Present
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Leshan Normal University Associate Professor2020 - 2023
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (18)
- A Blockchain-Enabled AI-Driven Secure Searchable Encryption Framework for Medical IoT Systems Save
- Enhancing wind power forecasting accuracy with hybrid temporal convolutional networks and adaptive stacked ensemble learning Save
- Advanced Behavioral Analysis for Intrusion Detection Using Deep Learning and Machine Learning Techniques Save
- Advancing Medical Innovation Through Blockchain-Secured Federated Learning for Smart Health Save
- IoUT and Collaborative Cloud Computing-Based UAV Channel Modeling for Agriculture Communication Save
- Achieving Carbon Neutrality Through Renewable Energy Transition Amidst Economic Policy Uncertainty in the Arctic Region Save
- APR-FL: Defending Against Hidden Backdoor Attacks With Adaptive Parameter Replacement Save
- PBatch: Pseudonym Certificate Batch Authentication With Generative AI-Based Cache for Cooperative Intelligent Transportation Systems Save
- A Novel Hybrid Ensemble Learning Approach for Enhancing Accuracy and Sustainability in Wind Power Forecasting Save
- A comprehensive review of wind power integration and energy storage technologies for modern grid frequency regulation Save
- A Malware Detection Scheme via Smart Memory Forensics for Windows Devices Save
- Power Forecasting of Regional Wind Farms via Variational Auto-Encoder and Deep Hybrid Transfer Learning Save
- Forecasting renewable energy for environmental resilience through computational intelligence Save
- A New Hybrid Approach of Clustering Based Probabilistic Decision Tree to Forecast Wind Power on Large Scales Save
- A New Hybrid Approach to Forecast Wind Power for Large Scale Wind Turbine Data Using Deep Learning with TensorFlow Framework and Principal Component Analysis Save
- Influence of Single and Multiple Dry Bands on Critical Flashover Voltage of Silicone Rubber Outdoor Insulators: Simulation and Experimental Study Save
- Parameter Estimation of DC Motor Using Chaotic Initialized Particle Swarm Optimization Save
- Design and Simulation of Control Technique for Permanent Magnet Synchronous Motor Using Space Vector Pulse Width Modulation Save