Hi! I'm Dr. Naghmash Ali
Research Fellow at Shenzhen International Graduate School (SIGS), Tsinghua University.
My research focuses on advancing energy systems, particularly in ocean energy integration, offshore microgrid optimization, intelligent energy management, and the application of non-linear control and artificial intelligence in power systems. I am passionate about developing sustainable and efficient energy solutions for the future.
Research Interests
Ocean Energy Systems
Offshore Microgrid Optimization
Intelligent Energy Management
Power System Optimization
Non-Linear Control
AC/DC Microgrids
Artificial Intelligence in Energy
Electric-Gas Systems
Wireless Power Transfer
Electric Vehicle Control
Large Action Models
Professional Experience
Research Fellow
Shenzhen International Graduate School (SIGS), Tsinghua University | Shenzhen, China
April 2025 – Present
Research Focus:
- Integration of AI in microgrids.
- Data-driven energy management for offshore microgrids.
- Machine learning-based intelligent predictive analysis for microgrids.
Responsibilities:
- Assisting MS and PhD students in research.
- Applying for research grants.
- Publishing high-quality research publications.
Postdoctoral Fellow
Shenzhen International Graduate School (SIGS), Tsinghua University | Shenzhen, China
March 2023 – March 2025
Research Focus:
- Hierarchical Strategy Based Higher-Order Nonlinear Control for Offshore Microgrids with Ocean Energy Integration.
- Multistage Controller Design and Energy Management in Multi-Microgrid Clusters with Wave and Tidal Energy Sources.
- Data-Driven Energy Management for Offshore Microgrids Integrating Ocean Energy.
Responsibilities:
- Assisting MS and PhD students in research.
- Publishing conducted research in reputable journals.
- Applying for research grants to complete research work.
Chief Data Scientist
CyberGen Inc | Florida, USA
December 2022 – Present
- Provide insights on developing and implementing data-driven solutions.
- Advising a team of data scientists, AI engineers, and data analysts.
- Provide Industry-Academia Linkage through Zero Point Labs.
Assistant Professor
Mohammad Ali Jinnah University | Karachi, Pakistan
January 2022 – December 2022
- Chairman of Project Coordinating Committee.
- Member of Board of Advanced Studies and Research (BASAR).
- Supervising Master and Doctoral Students In Research Thesis.
- Modules Taught: Renewable Energy Systems, Power System Analysis, Circuit Analysis.
Lecturer
The University of Faisalabad | Faisalabad, Pakistan
March 2017 – August 2018
- Supervising undergraduate fellows for their Final Year Project.
- Assisting in Designing the Course Curriculum.
- Implementing the objective based learning Course Curriculum.
- Modules Taught: Digital Signal Processing, Power System Distribution and Utilization, Signal and System, Power System Transients.
Honors and Awards
Excellent Postdoc Award
Tsinghua University: Honored for outstanding contributions in postdoctoral research.
Chinese Government Scholarship
Awarded for PhD studies.
Excellent Researcher Award
Awarded for publishing high quality research work during masters.
Taleem Fund Scholarship
Recipient for undergraduate studies.
Research Projects & Grants
National Natural Science Foundation of China (Grant# 52350410456)
Role: Research Expert | Funding: 200,000 CNY
Research on Hybrid Control Methods based on Machine Learning and Nonlinear Control for Improving the Operation and Integration of Low-Carbon Multi-Energy Power Systems.
Ministry of Education in Saudi Arabia (Grant# 375213500)
Role: Co-Principal Investigator | Funding: 192,000 SAR
Application of Intelligent Nonlinear Controller in Renewable Systems and Energy Storage Units.
Efficient Energy Storage Technology Foreign Expert Studio
Shandong Academy of Sciences | Role: Core Researcher
Designing of Charging and Discharging Process Control System Integration and Debugging of Energy Storage System.
Postdoctoral Project: Optimized controller for renewable energy sources integration into offshore microgrid
Tsinghua University | March 2023 – March 2025
This study contributes towards the design of optimized hierarchical control for offshore microgrids, utilizing wind and tidal energy. It proposes an energy management system for a hydrogen-powered microgrid and incorporates machine learning algorithms for intelligent control of these microgrid systems.
Publication Highlights
Hierarchical control combined with higher order sliding mode control for integrating wind/tidal/battery/hydrogen powered DC offshore microgrid
Authors: Naghmash Ali, Xinwei Shen, Hammad Armghan, Yunfei Du (2024). Journal of Energy Storage.
Focuses on advanced control strategies for integrating diverse renewable sources in DC offshore microgrids. (Impact Factor: 9.4)
A tri-level control framework for carbon-aware multi-energy microgrid cluster considering shared hydrogen energy storage
Authors: Hammad Armghan, Yinliang Xu, Xiang Bai, Naghmash Ali, Xinyue Chang, Yixun Xue (2024). Applied Energy.
Presents a control framework for optimizing carbon-aware multi-energy microgrid clusters. (Impact Factor: 11.2)
For a complete list, you can also see my CV or my Google Scholar profile.
Teaching Experience
Mohammad Ali Jinnah University (Assistant Professor)
Karachi, Pakistan | January 2022 – December 2022
Modules Taught:
- Renewable Energy Systems
- Power System Analysis
- Circuit Analysis
The University of Faisalabad (Lecturer)
Faisalabad, Pakistan | March 2017 – August 2018
Modules Taught:
- Digital Signal Processing
- Power System Distribution and Utilization
- Signal and System
- Power System Transients
Get In Touch
I'm always open to discussing research collaborations, speaking opportunities, or mentoring. Feel free to reach out using the methods below, or use the form to send me a quick message.
Nanshan District, Shenzhen, P.R. China
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