Babar Ashfaq | Manufacturing | Best Researcher Award

Dr. Babar Ashfaq | Manufacturing | Best Researcher Award 

Research Assistant, GiKI, Pakistan

Babar Ashfaq is a passionate researcher and educator specializing in Additive Manufacturing, Computational Mechanics, and Design Optimization. Currently pursuing a PhD in Mechanical Engineering at the Ghulam Ishaq Khan Institute, he has a strong foundation in high-velocity impact on composites from his MS at the International Islamic University. Babar is dedicated to advancing engineering through innovative research and teaching.

Publication Profile

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Education

Babar holds a PhD in Mechanical Engineering from the Ghulam Ishaq Khan Institute of Engineering Sciences & Technology, where he has maintained a CGPA of 3.50. He also completed his MS and BS in Mechanical Engineering at the International Islamic University, with CGPAs of 3.80 and 3.52, respectively. His educational background equips him with a solid understanding of mechanical principles and advanced manufacturing techniques. 📚🎓

Experience

As a Graduate Research Assistant at the Ghulam Ishaq Khan Institute, Babar assists faculty with academic and administrative duties and teaches various courses, including Stress Analysis and Additive Manufacturing. He has also served as a Lab Engineer at the University of Lahore and a Visiting Lecturer at the International Islamic University, enriching his teaching and engineering experience. 🛠️👨‍🏫

Research Focus

Babar’s research focuses on Additive Manufacturing and Computational Mechanics, particularly in the development of innovative auxetic structures and the mechanical characterization of 3D printed materials. His work aims to enhance structural performance through geometric optimization and advanced material modeling techniques. 🔬💡

Awards and Honours

Babar has been actively involved in organizing conferences and workshops, including the 2nd International Conference on Modern Technologies in Mechanical & Material Engineering (MTME 2024) and various symposiums on materials technology. His contributions have been recognized through his participation as a speaker and moderator at prestigious events. 🏆🎤

Publication Top Notes

Babar Ashfaq has authored several noteworthy publications, including:

A novel design of mono and bi-cells based hybrid auxetic structures and assessment of their compressive properties. Journal of Materials Research and Technology, 2024. Link

Mechanical Characterization of Innovative 3D-printed Auxetic (NPR) Structures: Role of Considering Anisotropy on Accuracy of Numerical Modelling. Journal of Materials Research and Technology, 2024. Link

Geometric optimization of additively manufactured hybrid auxetic structures for enhanced compression performance via Taguchi approach. Additive Manufacturing, 2024. (Submitted)

Enhancing Structural Design: Anisotropic Material Modeling for Additively Manufactured Auxetic Structures. Scientific Reports, 2024. (Submitted)

Impact Resistance of GLARE Composites in Aerospace: A Finite Element Analysis of Bird Strike Scenarios. Journal of Advanced Mechanical Design Systems and Manufacturing, 2024. (Submitted)

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

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💼 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.