Naghmash Ali
Ph.D in Control System and Automation
Research Fellow at Tsinghua University | Chief Data Scientist & Director Managed Services at CyberGen Inc. | Leading Research at QD Labs | Bridging Academia and Industry through AI-Driven Solutions, Data Science, and Power System Innovation
Citations: 950+ | h-index: 16 | i10-index: 23
About Me
Research Interests
Ocean Energy Systems & Offshore Microgrids
Pioneering research in wave and tidal energy integration, offshore microgrid optimization, and intelligent energy management for marine applications.
Data-Driven Power System Optimization
Leveraging machine learning and statistical analysis for predictive models, real-time operational control, and optimized planning of power systems.
Nonlinear Control & Electric Vehicle Systems
Advanced nonlinear control strategies for AC/DC microgrids, wireless power transfer, and electric vehicle charging systems.
Large Action Models & AI Integration
Investigating LLM-enhanced operational strategies for power systems, including intelligent decision support and fault diagnosis systems.
Experience
2025 - Present
2025 - Present
Co-founder & Chief Scientist
Qubit Dynamics
Leading an advanced AI research and professional training lab dedicated to advancing AI knowledge and practical skills. Developing cutting-edge curriculum for AI training programs and fostering strategic collaborations with academic and industry partners.
04/2025 - Present
04/2025 - Present
Research Fellow
SIGS, Tsinghua University, Shenzhen
Advisor: Dr. Xinwei Shen
Leading research in data-driven optimization for ocean energy utilization, LLM-enhanced operational strategies for power systems, and integrated planning frameworks for offshore microgrids.
03/2023 - 03/2025
03/2023 - 03/2025
Postdoctoral Fellow
SIGS, Tsinghua University, Shenzhen
Advisor: Dr. Xinwei Shen
Developed hierarchical control strategies for offshore microgrids with ocean energy integration, multistage controller design for multi-microgrid clusters, and data-driven energy management systems.
12/2022 - Present
12/2022 - Present
Chief Data Scientist & Director Managed Services
CyberGen Inc., Florida, USA
Leading data science strategy and AI implementation across the organization. Building and mentoring high-performance teams of data scientists, ML engineers, and AI specialists. Directing managed services operations to deliver enterprise-grade AI/ML solutions. Architecting end-to-end data-driven solutions, deploying production-scale machine learning systems, and driving innovation across client portfolios.
Education
Ph.D. in Control System and Automation (Electrical Engineering)
Shandong University, China
CGPA: 4.00/4.00
Thesis: Controller Design for Electric Vehicle Wireless Charging System Using LCC-S Compensation Topology
Advisor: Dr. Liu Zhizhen
M.S. Electrical Engineering
National University of Sciences and Technology (NUST), Pakistan
CGPA: 3.55/4.00
Thesis: Backstepping Based Non-linear Controller for Maximum Power Point Tracking in Photovoltaic System
Advisor: Dr. Iftikhar Ahmed
B.S. Electrical Engineering
COMSATS University, Pakistan
CGPA: 3.38/4.00
Thesis: Compensation of Distribution System Voltage Using Dynamic Voltage Restorer
Advisor: Dr. Laiq Khan
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
Featured Publications
Applied Energy, 2025
A Hybrid Approach Involving Data Driven Forecasting and Super Twisting Control Action for Low-Carbon Microgrids
Naghmash Ali, Xinwei Shen, Hammad Armghan
Energy, 2025 (I.F-9.4)
Multi-level Control For Shared Hydrogen Storage System Based Offshore DC Microgrid Cluster Involving Adaptive Barrier Function
Naghmash Ali, Xinwei Shen, Hammad Armghan
Journal of Energy Storage, 2024 (I.F-9.8)
Hierarchical control combined with higher order sliding mode control for integrating wind/tidal/battery/hydrogen powered DC offshore microgrid
Naghmash Ali, Xinwei Shen, Hammad Armghan, Yunfei Du
Sustainable Energy Technologies and Assessments, 2022 (I.F-8.0)
Super-twisting sliding mode controller for maximum power transfer efficiency tracking in hybrid energy storage based wireless in-wheel motor
Naghmash Ali, Zhizhen Liu, Hammad Armghan, Ammar Armghan
Teaching & Mentorship
Graduate Student Supervision
Supervised Master's and Doctoral students in power systems, nonlinear control, and energy storage systems research.
Research areas: Offshore Microgrids, Ocean Energy Systems, Wireless Power Transfer, Electric Vehicle Control
Course Instruction
Taught courses in Renewable Energy Systems, Power System Analysis, Circuit Analysis, and Digital Signal Processing.
Experience: Assistant Professor and Lecturer roles at multiple universities
Curriculum Development
Assisted in designing course curriculum and implementing objective-based learning approaches for engineering programs.
Focus on practical applications and industry-relevant skills
Editorial & Review Services
Guest Editor for special issues in Energies Journal and reviewer for top-tier IEEE and Elsevier journals.
Contributed to advancing quality research in power systems and smart grids
Strategic Advisory & Consultation
AI/ML Strategy & Implementation
- • Enterprise AI roadmap development
- • Production-scale ML system architecture
- • Data science team building & leadership
- • MLOps & model governance frameworks
Data Science Solutions
- • Predictive analytics & optimization
- • Advanced analytics platform development
- • End-to-end data pipeline design
- • Real-time decision support systems
Energy Systems Consulting
- • Offshore microgrid optimization
- • Ocean energy integration strategies
- • Smart grid & intelligent control systems
- • Data-driven energy management
Research-Industry Collaboration
- • Applied research partnerships
- • Technology transfer & commercialization
- • Joint research project development
- • Academic-industry bridge building
Technical Advisory
- • Strategic technology advisory
- • AI/ML project evaluation & planning
- • Technical due diligence
- • Innovation strategy consulting
Speaking & Workshops
- • Conference keynotes & presentations
- • Technical workshops & training
- • Webinars on AI/ML & energy systems
- • Graduate student mentorship
Get In Touch
Let's Connect
Research Collaborations
AI, control systems, energy
Industry Partnerships
Consulting & collaboration
Speaking Engagements
Conferences & workshops
Training Programs
Program development & mentorship