Mehrdad Nikbakht | Industrial Engineering| Best Researcher Award

Assist Prof Dr. Mehrdad Nikbakht | Industrial Engineering| Best Researcher Award

Assistance professor, Islamic Azad university, Najafabad Branch, Iran

Dr. Mehrdad Nikbakht is a seasoned academic and industrial expert with extensive experience in industrial engineering. Currently serving as an Assistant Professor at Islamic Azad University of Najafabad, Iran, he has a rich background in mechanical engineering and system management. His contributions span across various sectors, including academia, industrial consultancy, and engineering design. Dr. Nikbakht is also recognized for his leadership roles, such as being the Head of the Postgraduate Department of Industrial Engineering and a Research Fellow at INTI International University, Malaysia.

Publication Profile

Strengths for the Award

  1. Diverse Academic Background: Mehrdad Nikbakht has a strong academic foundation with a Ph.D. in Industrial Engineering, an M.Sc. in System Management & Productivity, and a B.Sc. in Mechanical Engineering. This interdisciplinary education strengthens his expertise and enables him to tackle complex engineering challenges.
  2. Extensive Professional Experience: With over two decades of experience in various engineering and academic roles, including positions of leadership such as Managing Director and Head of Department, Dr. Nikbakht demonstrates a robust professional portfolio. His roles have covered a wide range of responsibilities, from consulting on Total Productive Maintenance to planning and designing transportation networks.
  3. Active Research and Publication Record: Dr. Nikbakht has authored multiple refereed journal papers and book chapters. His recent publications in reputable journals, especially on topics like supply chain management and blockchain technology, highlight his ongoing contributions to the field of industrial engineering.
  4. Leadership in Academia: Serving as an Assistant Professor and Head of the Post Graduate Department of Industrial Engineering at Islamic Azad University, Dr. Nikbakht has shown leadership in academia. His involvement in educational councils and planning committees further supports his candidacy for the Best Researcher Award.
  5. Consulting and Industry Experience: His consulting roles in business strategy development and performance evaluation, along with his leadership in managing industrial projects, provide practical industry insights that enrich his research and teaching.

Areas for Improvement

  1. Publication Diversity: While Dr. Nikbakht has a solid publication record, diversifying the range of journals and expanding his research to include more interdisciplinary collaborations could further enhance his academic impact.
  2. International Collaboration: Engaging in more international research collaborations or projects could broaden his global research footprint and increase his visibility in the international academic community.
  3. Awards and Recognition: Although his career achievements are commendable, more formal recognitions or awards from international academic or professional organizations would strengthen his case for the Best Researcher Award.

 

🎓 Education:

Ph.D. in Industrial Engineering from University Putra Malaysia, Serdang, Malaysia (2008-2012). M.Sc. in Industrial Engineering (System Management & Productivity) from Khatam University, Tehran, Iran (2002-2004). B.Sc. in Mechanical Engineering (Solid Design) from Khomeini Shahr Islamic Azad University, Esfahan, Iran (1994-1998).

💼 Experience:

Dr. Nikbakht’s career is marked by significant roles in both academia and industry. He has been an Assistant Professor at Islamic Azad University of Najafabad, Iran, since 2014, contributing to the fields of industrial engineering and productivity. His industry experience includes leadership positions such as Managing Director at Spadana Polimer Company and operational roles in the petroleum and gas sectors. Additionally, Dr. Nikbakht has played a vital role in developing and implementing Total Productive Maintenance (TPM) strategies and consulting on business strategies and organizational performance.

🔍 Research Focus:

Dr. Nikbakht’s research interests lie in the optimization of industrial processes, supply chain management, and the application of advanced algorithms in engineering. He is particularly focused on improving productivity and efficiency in industrial settings, with a strong emphasis on system management and logistics.

🏅 Awards and Honors:

Dr. Nikbakht has been recognized for his academic and professional contributions, though specific awards and honors were not listed in the provided details. His roles in various academic councils and leadership positions within the industry reflect his expertise and the esteem in which he is held by his peers.

📝 Publication Top Notes:

Dr. Nikbakht has made significant contributions to the field of industrial engineering through his publications. His work includes research on natural gas pipeline optimization, supply chain management, and the integration of blockchain technology in humanitarian logistics. Below are some of his notable publications:

“A System Dynamics Model in The Humanitarian Supply Chain Based On Blockchain Technology” – International Journal of Disaster Risk Reduction, 2023.
Cited by 12 articles. Read Here

“Importance-Performance Analysis of the Critical Success Factors of the Aviation Industry’s Reverse Supply Chain” – Journal of Supply Chain Management, 2023.
Cited by 8 articles. Read Here

“A Gravitational Search Algorithm Approach for Optimizing Closed-Loop Logistics Network” – Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance, IGI Global Publisher, 2012.
Cited by 56 articles. Read Here

Conclusion

Dr. Mehrdad Nikbakht is a well-qualified candidate for the Research for Best Researcher Award, given his extensive academic background, diverse professional experience, and active research contributions. His leadership in academia and industry further supports his candidacy. While expanding his publication diversity and international collaborations could enhance his profile, his existing accomplishments make him a strong contender for the award.

Danyal Aghajani | Supply Chain Management | Best Researcher Award

Mr. Danyal Aghajani | Supply Chain Management | Best Researcher Award

Ph.D. student/Junior researcher, Lappeenranta University of Technology, Finland

Danyal Aghajani is a dedicated Ph.D. student at Lappeenranta University of Technology with a profound interest in optimization, uncertainty programming, and supply chain modeling. He holds a Master’s degree in Industrial Engineering from Iran University of Science and Technology and a Bachelor’s degree in the same field from Islamic Azad University. His career spans various teaching, research, and industry roles, reflecting a robust blend of academic prowess and practical expertise.

Profile

Google Scholar

 

💼 Experience:

His diverse experience includes teaching Quantitative Models and Methods in Logistics and mentoring case study courses. In industry, he serves as a human resource manager and has previously worked in project control management and engineering departments. His voluntary work includes contributions to Mahak, a charity supporting children with cancer.

🔬 Research Interests:

Danyal’s research interests span optimization in mathematical programming, uncertainty programming (robust, fuzzy, and stochastic), data science, machine learning, and supply chain modeling in energy and food sectors. He is particularly focused on decision-making under uncertainty and sustainable supply chain design.

🏆 Awards:

He ranked in the top 1% in the Master’s degree National University Entrance Examination among over 10,000 participants, earning a full scholarship in 2016. Additionally, he secured the second rank in a memorizing competition in Tehran in 2010.

Publications

📄 A Sustainable Integrated Model for Multi-Objective Planning of an Agri-Food Supply Chain under Uncertain Parameters: A Case Study – Accepted at Computers and Chemical Engineering, cited by 5 articles.

📄 A Review of Digital Platform and Circular Economy: Opportunities and Challenges for Developing Countries – Accepted at Taylor & Francis, 2023, cited by 3 articles.

📄 AI Implementation in Innovation Processes: An Uncertainty Perspective – In progress, expected publication in 2024.

📄 A Circular Data-Driven Mathematical Model for Multi-Objective Agri-Food Supply Chain Design Considering GIS Method: Stevia – In progress.📄 A Hybrid Sustainable Biomass Supply Chain Design Using ML Algorithms, GIS Methods, and Robust Modeling – In progress.