Naghmash Ali
Ph.D in Control System and Automation
Nanshan District, Shenzhen, China
Google ScholarEducation
Shandong University
Shandong, ChinaPh.D. in Control System and Automation (Electrical Engineering)
2018 - 2022Thesis: Controller Design for Electric Vehicle Wireless Charging System Using LCC-S Compensation Topology
Advisor: Dr. Liu Zhizhen
National University of Sciences and Technology (NUST)
Islamabad, PakistanM.S. Electrical Engineering; CGPA: 3.55/4.00
2014 - 2016Thesis: Backstepping Based Non-linear Controller for Maximum Power Point Tracking in Photovoltaic System
Advisor: Dr. Iftikhar Ahmed
COMSATS University
Islamabad, PakistanB.S. Electrical Engineering; CGPA: 3.38/4.00
2010 - 2014Thesis: Compensation of Distribution System Voltage Using Dynamic Voltage Restorer
Advisor: Dr. Laiq Khan
Expertise & Focus Areas
Industry & Applied AI:
Enterprise AI/ML Solutions - Production-Scale Data Science - Predictive Analytics & Optimization - MLOps & Model Deployment - Advanced Analytics Platforms - Team Leadership & AI Strategy
Research & Innovation:
Ocean Energy Systems (Wave & Tidal Integration) - Offshore Microgrid Optimization - Data-Driven Power System Control - Large Language Models for Industrial Systems - Intelligent Energy Management - Nonlinear Control - Electric Vehicle Systems - Wireless Power Transfer
Academic Awards/Honors
Excellent Postdoc Award
Tsinghua UniversityHonored for outstanding contributions in postdoctoral research
Chinese Government Scholarship
Ph.D. StudiesAwarded the prestigious Chinese Government Scholarship for PhD studies
Excellent Researcher Award
Master's StudiesAwarded for publishing high quality research work during masters
Taleem Fund Scholarship
Undergraduate StudiesRecipient of the esteemed Taleem Fund Scholarship for undergraduate studies
Research Publications
Accumulative Impact Factor: 160+ | Citations: 950+; h-index: 16; i10-index: 23 (Google Scholar)
Selected Publications (For complete list of 30+ publications, please visit Google Scholar)
J31. Naghmash Ali, Xinwei Shen, Hammad Armghan. “An Explainable AI Framework for Optimal Energy Management in Hybrid Storage Microgrids” in IEEE Transactions on Smart Grids (Under Review).
J30. Naghmash Ali, Xinwei Shen, Hammad Armghan. “A Hybrid Approach Involving Data Driven Forecasting and Super Twisting Control Action for Low-Carbon Microgrids” in Applied Energy, 2025.
J29. Naghmash Ali, Xinwei Shen, Hammad Armghan. “Multi-level Control For Shared Hydrogen Storage System Based Offshore DC Microgrid Cluster Involving Adaptive Barrier Function” in Energy, 2025 (I.F-9.4).
J28. Naghmash Ali, Xinwei Shen, Hammad Armghan, Yunfei Du. “Hierarchical control combined with higher order sliding mode control for integrating wind/tidal/battery/hydrogen powered DC offshore microgrid” in Journal of Energy Storage, 2024 (I.F-9.8).
...and 15+ more publications in top-tier journals. Full publication list available upon request.
Professional Activities
Guest Editor:
Guest Editor for a special issue "Power Systems and Smart Grids: Innovations and Applications" in Energies Journal
Reviewer:
IEEE Transactions on Power Electronics, IEEE Transactions on Industrial electronics, IEEE Transactions on Smart Grids, Applied Energy, Solar Energy, ISA Transactions, Journal of Energy Storage, Energy, Journal of Franklin Institute, Sustainable Energy Technologies and Assessments, International Journal of Energy Research, IEEE Transactions on Industrial Electronics, Applied Sciences, Energy Reports, Electric Power Systems
Skills
Engineering: MATLAB & Simulink, Maxwell Ansys, Python, PSim, Pspice, Proteus
Documentation: LaTeX, Microsoft Office, Visio, Endnote
Research Techniques: Non-linear Control, Mixed Integer Linear Programming, Artificial Neural Network, Optimization Techniques, Machine Learning Algorithms, Hardware-In-Loop, Optimal Control
Languages
English, Urdu, Pashto, Punjabi