Shandong University
Shandong, China
2018 - 2022
Ph.D. in Control System and Automation (Electrical Engineering)
Thesis: Controller Design for Electric Vehicle Wireless Charging System Using LCC-S Compensation Topology
Advisor: Dr. Liu Zhizhen
Naghmash Ali
Ph.D in Control System and Automation
Education
National University of Sciences and Technology (NUST)
Islamabad, Pakistan
2014 - 2016
M.S. Electrical Engineering; CGPA: 3.55/4.00
Thesis: Backstepping Based Non-linear Controller for Maximum Power Point Tracking in Photovoltaic System
Advisor: Dr. Iftikhar Ahmed
COMSATS University
Islamabad, Pakistan
2010 - 2014
B.S. Electrical Engineering; CGPA: 3.38/4.00
Thesis: 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
Professional Experience
Co-founder & Chief Scientist - Qubit Dynamics
2025 - Present
Pakistan
- Leading an AI research lab bridging academic work with industry applications
- Building AI solutions across energy, industrial, and enterprise domains
- Forming partnerships with tech companies and research institutions
- Driving applied research in ML, analytics, and intelligent systems
- Establishing frameworks for rapid prototyping and AI productization
Research Scientist - SIGS, Tsinghua University
04/2025 - Present
Shenzhen, China
- Data-driven optimization for ocean-energy use in offshore microgrids
- LLM-enhanced operational strategies for power systems
- Planning & control framework for offshore microgrids via LLMs
Postdoctoral Fellow - SIGS, Tsinghua University
03/2023 - 03/2025
Shenzhen, China
- Mentor MS and PhD students through their research
- Publish findings in peer-reviewed journals
- Secure research grants and funding
Chief Data Scientist & Director, Managed Services - CyberGen Inc
12/2022 - Present
Florida, USA
- Lead AI strategy and roadmap aligned with business objectives
- Direct managed-services delivery of enterprise AI/ML solutions
- Build and mentor teams of data scientists and ML engineers
- Architect production-scale ML systems and data pipelines
- Drive AI solutions from proof-of-concept to deployment
- Establish MLOps, model governance, and responsible-AI practices
- Own client relationships across diverse industry verticals
Assistant Professor - Mohammad Ali Jinnah University
01/2022 - 12/2022
Karachi, Pakistan
- Chair, Project Coordinating Committee
- Member, Board of Advanced Studies & Research (BASAR)
- Supervised MS and PhD research theses
- Taught Renewable Energy, Power Systems, Circuit Analysis
Lecturer - The University of Faisalabad
03/2017 - 08/2018
Faisalabad, Pakistan
- Supervised undergraduate Final Year Projects
- Co-designed outcome-based course curriculum
- Taught DSP, Signals & Systems, and Power Systems
Academic Awards/Honors
Excellent Postdoc Award
Tsinghua University
Honored for outstanding contributions in postdoctoral research
Chinese Government Scholarship
Ph.D. Studies
Awarded the prestigious Chinese Government Scholarship for PhD studies
Excellent Researcher Award
Master's Studies
Awarded for publishing high quality research work during masters
Taleem Fund Scholarship
Undergraduate Studies
Recipient 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