Adnan Saifan | Mechanical Manufacturing | Best Researcher Award

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Dr. Adnan Saifan | Mechanical Manufacturing | Best Researcher Award

Dr. Adnan Saifan, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences., China

Dr. Adnan Saifan is a PhD candidate in Mechanical Manufacturing and Automation at the University of Chinese Academy of Sciences, Beijing, China, and Ningbo Institute of Materials Technology and Engineering. His research focuses on robotic surface processing technologies, including ultrasonic multi-needle peen forming. He holds a Master’s in Mechanical Engineering from Hohai University, China, and a Bachelor’s from Sana’a University, Yemen. Dr. Saifan’s work is highly regarded, with several published papers in international journals and patents in the field of advanced manufacturing technologies. He is proficient in wear and corrosion analysis, additive manufacturing, and robotic systems.

Publication Profile

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Education & Qualifications 🎓

Dr. Adnan Saifan holds a PhD in Mechanical Manufacturing and Automation from the University of Chinese Academy of Sciences and Ningbo Institute of Materials Technology and Engineering, China (2021-2025), focusing on robotic ultrasonic multi-needle peen forming technology. He earned a Master of Engineering (MEng) in Mechanical Engineering from Hohai University, Nanjing, China (2018-2021), with a thesis on automatic welding systems for boiler tube wall cladding. Dr. Saifan also holds a BSc in Mechanical Engineering from Sana’a University, Yemen (2011-2016), and various diplomas in Chinese Language, Computer Skills, and English. 🌍📚

 

Work Experience & Projects 💼

Dr. Adnan Saifan is currently a Doctoral Researcher at the University of Chinese Academy of Sciences and Ningbo Institute of Materials Technology & Engineering (2021–Present), working on robotic ultrasonic shot peening for shape correction. Prior to this, he worked as a Mechanical Engineer at Suzhou Hailu Heavy Industry Co., Ltd., China (2019-2021), and as an intern at Mettler-Toledo, China (2019-2020), contributing to projects like the Saudi Arabia Railway Infrastructure. He also gained research experience at Hohai University (2018-2021), designing an automatic welding robot, and held various engineering roles in Yemen. 🛠️🚀

 

Honors & Awards 🏆

Dr. Adnan Saifan has received numerous honors for his outstanding academic and research achievements. In 2023, he was recognized as the Outstanding International Student at Ningbo Institute of Materials Technology and Engineering and won the Silver Award at the Ningbo Graduate Academic Festival. He also received Honor Certificates from the Ministry of Higher Education-Yemen and the Yemeni Student Union of China. Additional accolades include the 2022 Outstanding Volunteer Award from the University of Chinese Academy of Sciences, the ANSO Scholarship for Young Talents, and several other scholarships and awards for excellence in research and contributions. 🌟📚🎓

 

Research Interests 🔬

Dr. Adnan Saifan’s research interests focus on a wide range of topics within Mechanical Manufacturing and Automation, including Robotics, Additive Manufacturing, and Digital Twin technologies. His work also covers areas like Surface Mechanical Treatment, Material Processing, and Peen Forming, with a focus on Plastic Deformation and Welding. He is particularly interested in studying Wear and Mechanical Properties of materials, utilizing Finite Element (FE) Analysis and Optimization techniques. Additionally, Dr. Saifan applies Design of Experiment (DoE) methodologies to improve manufacturing processes and material performance. 🛠️🤖🔧

 

Publication Top Notes 📚

  1. “Influence of post-weld heat treatment on microstructure and toughness properties of 13MnNiMoR high strength low alloy steel weld joint” – Cited by: 5, Year: 2021
  2. “Development of an automatic welding system for the boiler tube walls weld overlay” – Cited by: 3, Year: 2020
  3. “Data-driven modeling and optimization of a robotized multi-needle ultrasonic peen-forming process for 2024-T3 aluminum alloy” – Cited by: 1, Year: 2024
  4. “Seam tracking control for weld cladding of boiler tubes in thermal power plants” – Cited by: 1, Year: 2024
  5. “Enhancing microstructure and mechanical performance of 6061-T4 aluminum alloy through robotic ultrasonic multi-needle peening” –  Year: 2024
  6. “Data-Driven Modelling of Robotized Ultrasonic Multi-Needle Peen-Forming Process on Aluminum Alloy 2024-T3” Year: 2024

 

Aqib Mashood Khan | Manufacturing Award | Young Scientist Award

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Dr. Aqib Mashood Khan | Manufacturing Award | Young Scientist Award

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

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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. 🌱🔧

Publication Top Notes 

  1. Effects of hybrid Al2O3-CNT nanofluids and cryogenic cooling on machining of Ti–6Al–4V 🛠️ Cited by: 216, Year: 2019
  2. A comprehensive review on minimum quantity lubrication (MQL) in machining processes using nano-cutting fluids 📝 Cited by: 197, Year: 2019
  3. Investigations of machining characteristics in the upgraded MQL-assisted turning of pure titanium alloys using evolutionary algorithms 🔍 Cited by: 138, Year: 2019
  4. Sustainable milling of Ti–6Al–4V: A trade-off between energy efficiency, carbon emissions and machining characteristics under MQL and cryogenic environment 🌱 Cited by: 115, Year: 2021
  5. Performance evaluation of vegetable oil-based nano-cutting fluids in environmentally friendly machining of inconel-800 alloy 🌿 Cited by: 109, Year: 2019
  6. Energy-based cost integrated modelling and sustainability assessment of Al-GnP hybrid nanofluid assisted turning of AISI52100 steel 💰 Cited by: 106, Year: 2020
  7. Multi-Objective Optimization for Grinding of AISI D2 Steel with Al2O3 Wheel under MQL🔧 Cited by: 96, Year: 2018
  8. Environment and economic burden of sustainable cooling/lubrication methods in machining of Inconel-800 🌎 Cited by: 93, Year: 2021
  9. Cutting performance of textured polycrystalline diamond tools with composite lyophilic/lyophobic wettabilities 💎 Cited by: 89, Year: 2018
  10. Tool wear, surface quality, and residual stresses analysis of micro-machined additive manufactured Ti–6Al–4V under dry and MQL conditions 🔬 Cited by: 85, Year: 2020