Mr. Syed Musadiq Mehdi |Power Electronics| Best Researcher Award
Hongik University,South Korea
Mr. Syed Musadiq Mehdi is a distinguished researcher and academic affiliated with Hongik University, South Korea. With expertise spanning [mention specific field or focus area, e.g., artificial intelligence, materials science, etc.], he has made significant contributions through his innovative research and publications. At Hongik University, Mr. Mehdi is actively involved in advancing knowledge and fostering academic excellence. His work reflects a strong commitment to addressing contemporary challenges and driving impactful solutions in his field.
Summary:
Mr. Syed Musadiq Mehdi stands out as a promising researcher with strong academic credentials, impactful publications, and notable technical expertise. His innovative work in power electronics and neural networks positions him as a contender for the award.
Professional Profiles:
š Education :
Masterās Degree (Electrical and Electronics Engineering): Currently pursuing at Hongik University, Seoul, South Korea (since March 2023).,Bachelorās Degree (Electrical Engineering): Graduated from Sharif College of Engineering and Technology, Lahore, Pakistan (2018ā2022).
š¢Ā Experience:
Internship at DG-Cement PVT-Ltd, Pakistan (AugāSept 2019):,Gained hands-on experience with coal-fired and waste heat recovery power plants, SCADA systems, and transformer troubleshooting. This role provided foundational knowledge in power systems and electrical infrastructure management.
š ļøSkills:
Technical Skills: MATLAB/Simulink, Python, SQL, NI-MultiSim, Microsoft Office Suite.,Research & Writing Skills: Proficient in policy briefs, essays, and technical paper writing.,Languages: Fluent in English (C1 level), with native proficiency in Urdu.
Research Focus :
Modular Multilevel Converters (MMC): Developing advanced neural network observers to enhance capacitor voltage estimation accuracy in MMCs.,IoT Applications: Innovated a password-protected DC circuit breaker system for HVDC lines, integrating IoT for enhanced operational control.,Power Electronics: Published works on neural network-based estimations for motor drives and capacitor voltage in MMCs, demonstrating significant advancements in real-time applications.
š¬Awards:
Research Ethics Certification (2024): Awarded by the Korean Institute of Human Resource Development in Science and Technology for upholding scientific integrity and promoting ethical research practices.
Based on the provided credentials and contributions, Mr. Syed Musadiq Mehdi is a suitable candidate for the Research for Best Researcher Award. His strengths, particularly in addressing real-world problems through innovative research, align with the award’s goals. However, enhancing his research breadth and industry engagements could elevate his standing in future evaluations.
Ā Publications:
A Novel Capacitance Estimation Method of Modular Multi-level Converters for Motor Drives Using Recurrent Neural Networks with Long Short-Term Memory
This study introduces an LSTM architecture tailored for high-precision capacitance estimation in PMSM drives. The proposed method captures MMCs’ dynamic behavior effectively, validated through MSE metrics and comparative analysis of actual versus estimated capacitance. Robustness under varied operating conditions confirms its practical applicability for real-time power electronics.
- Authors: Syed Musadiq Mehdi, DM Lee
- Journal: MDPI Energies
Improved Estimation Method for the Capacitor Voltage in Modular Multilevel Converters Using Distributed Neural Network Observer
This paper proposes a distributed neural network observer to enhance capacitor voltage estimation in MMCs. Utilizing a multi-layer neural network and a distributed approach, the system significantly improves accuracy and robustness.
- Authors: Mehdi Syed Musadiq, DM Lee
- Journal: Journal of the Institute of Korean Electrical and Electronics Engineers