Aqib Mashood Khan | Manufacturing Award | Young Scientist Award

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.

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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

 

 

 

Tsegay Tesfay Mezgebe | Industrial and Systems Engineering | Best Researcher Award

Dr.Tsegay Tesfay Mezgebe : Industrial and Systems Engineering| Best Researcher Award 

Dr. Tsegay Tesfay Mezgebe is an accomplished academic with a Ph.D. in Automatic Control from the University of Lorraine, France. He earned his Master’s in Production and Industrial Systems Engineering from Mekelle University, Ethiopia, and a Bachelor’s in Industrial Engineering from Bahir Dar University. 🎓 His expertise extends to meta-heuristics, cyber-physical production systems, and scientific integrity, as showcased by certifications from renowned institutions in France. Dr. Mezgebe, an Assistant Professor at Mekelle University since 2020, previously held academic roles and demonstrated commitment to quality management and ethical research. 🌐👨‍🏫

Publication Profile :

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Academic Degrees:

Dr. Tsegay Tesfay Mezgebe is an accomplished academic, holding a Ph.D. in Automatic Control from the University of Lorraine, France, awarded on January 30, 2020. His educational journey includes a Master’s degree in Production and Industrial Systems Engineering from Mekelle University, Ethiopia, conferred on October 27, 2011. Dr. Mezgebe’s foundation in academia began with a Bachelor’s degree in Industrial Engineering from Bahir Dar University, Ethiopia, earned on June 06, 2007. 🎓 His diverse academic background reflects a deep commitment to engineering and control systems, contributing to his impactful career in academia and research. 👨‍🎓🌐

Certifications and Trainings :

Dr. Tsegay Tesfay Mezgebe’s commitment to professional development is evident through a series of specialized courses and certifications. In 2019, he delved into “Meta-Heuristics in Optimization” at Ecole MACS, University of Bordeaux, Bordeaux, France, exploring current trends and evolutions. 🌐 Following this, he immersed himself in “Cyber-Physical Production Systems” at IUT de Nantes, University of Nantes, Nantes, France, in 2019. 🤖 Dr. Mezgebe also prioritizes ethical research, having undertaken courses on the “Culture of Scientific Integrity” and the “Ethical and Legislative Framework for Research” at Université de Lorraine, France, in 2018 and 2017, respectively. These initiatives showcase his dedication to staying at the forefront of his field. 👨‍🏫📚

Computer and other personal skills :

Dr. Tsegay Tesfay Mezgebe possesses versatile language skills, excelling in his mother tongue Tigrigna and demonstrating excellent proficiency in English, both in listening, reading, speaking, and writing. 🗣️📖 He is proficient in French, with good capabilities in listening, reading, and speaking, while maintaining satisfactory writing skills. 🇫🇷 Additionally, Dr. Mezgebe is fluent in Amharic, showcasing excellent skills across all language components.In the realm of software, his expertise extends to MatLab, Paython, Java, Eclipse, Tex/Latex, AutoCAD, and Solid Works. 💻 For statistical analysis, he is adept at using tools such as Minitab, MatLab, Click Charts, and SPSS. 📊 His manufacturing skills cover a broad spectrum, including machining, welding, foundry, sheet metal, and woodworks, reflecting a well-rounded proficiency in both theoretical and practical aspects of his field. 🔧🌐

Research Focus :

Dr. Tsegay Tesfay Mezgebe’s research spans diverse areas, with a primary focus on intelligent manufacturing systems. His work includes pioneering studies on multi-agent systems negotiation for dynamic scheduling, as seen in the Journal of Intelligent Manufacturing and The International Journal of Advanced Manufacturing Technology. 🤖 His expertise extends to algorithm design for control systems in the context of Industry 4.0, evident in his contributions to recursive hybrid control architecture. Dr. Mezgebe’s research also delves into economic analyses of lean wastes in textile industries and explores the post-COVID-19 recovery opportunities for Sub-Saharan manufacturing, as showcased in Scientific African. 🌐🔍

Publication Top Notes :