Dr. Aqib Mashood Khan, Nanjing University of Aeronautics and Astronautics, China
Dr. Aqib Mashood Khan has an extensive educational background and professional experience in the field of mechanical engineering, particularly in manufacturing and automation. He holds a Ph.D. in Mechanical Manufacture and Automation from Nanjing University of Aeronautics and Astronautics, China, with a specialization in sustainable machining. His dissertation focused on investigating resource-based energy consumption in sustainable machining with lubricooling approaches.
Publication Profile
Orcid
Google Scholar
Education
Ph.D. in Mechanical Manufacture and Automation from Nanjing University of Aeronautics and Astronautics, China
M.Sc. in Industrial Engineering with a specialization in Manufacturing from the University of Engineering and Technology, Taxila, Pakistan
B.Sc. in Mechatronics and Control System Engineering from the University of Engineering and Technology, Taxila, Pakistan
Awards and Honors
Outstanding Scholar award from NUAA
Recognition in Stanford’s list of top 2% scientists worldwide
Best paper awards and nominations for various prestigious awards
Teaching Experience
Associate Professor, Assistant Professor, and Chairman in departments related to mechanical engineering and mechatronics. You’ve also been involved in research collaboration with international institutions.
Industrial Experience
Your industrial experience includes internships and training in instrumentation, mechanical engineering, foreign procurement, and involvement in university lab setups.
Research Focus
AM Khan’s research focuses on sustainable machining processes, particularly in the domain of minimum quantity lubrication (MQL) and cryogenic cooling, aiming to enhance machining efficiency while minimizing environmental impact. His work delves into the development and application of novel nano-cutting fluids and hybrid nanofluids, integrating them into machining operations for various materials like titanium alloys and steel. Khan’s investigations also include multi-objective optimization techniques to balance energy consumption, surface quality, and environmental sustainability. Through his research, Khan contributes to advancing eco-friendly machining practices, symbolizing a commitment to both technological innovation and environmental stewardship. 🌱🔧
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