Didérot Déraillet Tadja | Industrial Engineering | Best Researcher Award

Mr. Didérot Déraillet Tadja | Industrial Engineering | Best Researcher Award

Mr. Didérot Déraillet Tadja | Polytechnique Montréal | Canada

Mr. Didérot Déraillet Tadja is a professional engineer with extensive academic and industrial experience in the field of industrial engineering. He is currently pursuing a PhD in Industrial Engineering from Polytechnique Montréal and Grenoble Institute of Technology, following his Master’s and Bachelor’s degrees in the same field from top Canadian institutions. As a permanent faculty member at Collège Ahuntsic in Montréal, he has taught a wide range of courses related to production planning, facility design, quality assurance, and systems engineering. His research integrates lean manufacturing, industrial internet of things, artificial intelligence, and project management to enhance safety, productivity, and human well-being in manufacturing plants. Prior to academia, he held various engineering roles in the food and building materials industries, working with renowned companies like Kerry Group, Praxair, Lafarge, and Ultragen Group. A member of the Institute of Industrial and Systems Engineers and the Ordre des ingénieurs du Québec, he is dedicated to both teaching and applied research.

Publication Profile

Google Scholar

Educational Background

Mr. Didérot Déraillet Tadja possesses a strong academic foundation in engineering, marked by a progressive and interdisciplinary educational journey. He is currently pursuing a Doctor of Philosophy in Industrial Engineering through a joint program between Polytechnique Montréal and the Grenoble Institute of Technology, focusing on advanced systems integration, manufacturing optimization, and technology-driven process improvement. Prior to his doctoral studies, he earned a Master of Engineering in Industrial Engineering, a collaborative degree from Polytechnique Montréal and Laval University, where he deepened his expertise in systems design, lean methodologies, and project management. His academic journey began with a Bachelor of Engineering in Mechanical Engineering from École de technologie supérieure, where he acquired core technical knowledge in mechanical systems, manufacturing processes, and engineering fundamentals. This comprehensive academic path has equipped Mr. Tadja with both the theoretical understanding and practical skills needed to drive innovation and excellence in industrial engineering and related research domains.

Teaching Experience

Mr. Didérot Déraillet Tadja has been serving as a permanent faculty member in Industrial Engineering Technology at Collège Ahuntsic in Montréal. His teaching reflects a deep commitment to applied engineering education and the development of industry-ready graduates. With a focus on practical skills and system-based thinking, he delivers a diverse set of courses that cover essential areas of industrial engineering. These include capstone project supervision, production planning and control, facility design, and supply chain management, offering students real-world problem-solving experiences. He also teaches quality assurance and control, measurement techniques, and pneumatic and hydraulic systems, ensuring learners gain both theoretical insights and technical proficiencies. His hands-on approach and industry-informed instruction help bridge the gap between academic theory and practical application. Through his teaching, Mr. Tadja plays a pivotal role in shaping the next generation of industrial engineers, contributing significantly to academic excellence and workforce development in the engineering sector

Research Focus

Mr. Didérot Déraillet Tadja’s research focus lies at the intersection of lean manufacturing, Industry technologies, and smart systems integration in industrial settings. His scholarly work explores how connected objects, artificial intelligence, and digital tools can be leveraged to enhance lean practices, eliminate waste, and improve overall operational efficiency in manufacturing environments. He places particular emphasis on the practical application of these technologies within small and medium-sized enterprises, especially in urban industrial regions like Greater Montreal. His studies investigate the maturity levels of lean manufacturing practices and propose inclusive assessment tools that consider company size and geographic location. Additionally, his research highlights the role of the industrial internet of things in supporting production culture and advancing smart factory initiatives. Through a combination of theoretical reviews and field-based analysis, his work contributes to the modernization of manufacturing systems, aiming to integrate human well-being, productivity, and sustainable industrial development in technologically evolving environments.

Publication Top Notes

Connected objects to improve the culture of lean production: literature review and outline of a solution applicable to manufacturing companies
Year: 2021
Citations: 3

Industry 4.0 technologies applicable to the hunt for lean manufacturing waste
Year: 2023
Citations: 1

Inclusive tool to assess lean manufacturing maturity and its relationship with the size or location of the company in Greater Montreal, Canada
Year: 2025

Lean manufacturing in the Montreal metropolitan area: maturity levels and operationalization system based on connected objects
Year: 2024

Conclusion

Didérot Tadja exhibits strong potential for recognition as a leading applied researcher in industrial engineering, especially in areas where technology, systems optimization, and human-centered design intersect. His unique integration of research, teaching, and industry practice aligns well with the objectives of the Best Researcher Award. With further academic dissemination and broader research outputs, his candidacy would become even more compelling. He is a suitable and promising nominee for this honor.

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.

Publication Profile

Orcid

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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