AIMIN NIU

Senior executive with over 30 years of interdisciplinary experience in programme management, international partnerships, and business development across the space industry, international organisations, government agencies, academia, research and educational institutions, and the private sector, including publicly listed companies. Recognised for integrity, professionalism, and a collaborative approach, with a proven track record in leading complex, multi-stakeholder programmes, driving international cooperation, and integrating ESG and sustainability into strategic initiatives. Deep expertise in software product quality assurance, rule-based AI, and SDGs/ESG reporting, including deep knowledge and experience with GHG accounting and compliance for listed companies.

• Programme Management (international scientific programmes, human space mission software product QA).
• International Partnerships & Stakeholder Engagement (MOUs, agreements, strategic partnerships).
• Space Technology & Applications (human spaceflight, satellites, Global Navigation Satellite Systems (GNSS)).
• Rule-based AI (Expert Systems, where intelligence is achieved by manipulating human-readable experience using explicit, predefined logical rules to enable reasoning and problem-solving, focusing on transparency, explainability and structure rather than data-driven pattern learning).
• Strategic Planning, International Business Development, Budgeting & Procurement.
• ESG & Sustainability (ESG reporting, GHG Gas Accounting, climate risk).
• Governance, Risk & Compliance.
• Cross-cultural Team Leadership.

1) Master of Engineering

• Major: Aeronautical & Aerospace Systems Engineering
• Specialization: Artificial Intelligence (AI) & Knowledge Engineering
• Key Project: 

Expert System on Aircraft Flight Accident Analysis and Decision Making, using rule-based AI technology

• Designed an AI system using knowledge engineering and rule-based reasoning, through collecting, organizing and refining expert domain experience and technology
• Focused on explainability, decision logic, and reliability for aeroplane safety-critical environments
• Foundations directly applicable to Hybrid AI and enterprise decision-support solutions
• Implemented using C-language

2) Bachelor of Engineering

• Major: Mechanical Engineering
• Specialization: Airplane engine and its maintenance

3) Certificate in Space Business and Management