Pardis Roozkhosh | additive manufacturing | Best Researcher Award

Dr. Pardis Roozkhosh | additive manufacturing | Best Researcher Award

Lecturer, Ferdowsi University of Mashhad, Iran

πŸŽ“ Pardis Roozkhosh is a dedicated researcher and academic currently affiliated with the Economic and Administrative Sciences Faculty at Ferdowsi University of Mashhad, Iran. Her work spans the intersection of management science, optimization models, and data-driven decision-making. Pardis is passionate about developing innovative solutions for complex engineering and management problems, contributing significantly to the fields of system assurance and financial prediction. πŸ“šβœ¨

Publication Profile

Scopus

Education

πŸŽ“ Pardis Roozkhosh has been pursuing her academic journey at Ferdowsi University of Mashhad since June 2019. She is part of the Economic and Administrative Sciences Faculty, focusing her expertise on research-driven methodologies to address real-world challenges.

Experience

🌟 Pardis has actively contributed to the academic community through her research publications and peer review activities. She is recognized for her insightful contributions to journals such as the International Journal of System Assurance Engineering and Management and Applied Soft Computing. Her expertise includes optimization models, decision-making under uncertainty, and financial predictions.

Research Interests

πŸ’‘ Pardis Roozkhosh’s research interests include multi-criteria decision-making (MCDM), optimization in management science, hub location-allocation problems, and predictive modeling for financial systems like Bitcoin price forecasting. Her work is deeply rooted in addressing uncertainty and tardiness in real-world scenarios. πŸ”πŸ“ˆ

Awards

πŸ† While specific awards are not listed, Pardis’s impactful publications and active contributions to peer reviews in renowned journals like Expert Systems with Applications reflect her professional recognition in the academic community.

Publications

A new model to design a product under redundancy allocation problem and MCDM
πŸ“… Published: November 29, 2024 | Journal: International Journal of System Assurance Engineering and Management
πŸ“– Cited by: Pending

Designing a new model for the hub location-allocation problem with considering tardiness time and cost uncertainty
πŸ“… Published: January 2, 2023 | Journal: International Journal of Management Science and Engineering Management
πŸ“– Cited by: Pending

MLP-based Learnable Window Size for Bitcoin price prediction
πŸ“… Published: August 2022 | Journal: Applied Soft Computing
πŸ“– Cited by: Part of ISSN: 1568-4946

Designing a new model for the hub location-allocation problem with considering tardiness time and cost uncertainty
πŸ“… Published: June 5, 2022 | Journal: International Journal of Management Science and Engineering Management
πŸ“– Cited by: Pending

 

 

Babar Ashfaq | Manufacturing | Best Researcher Award

Dr. Babar Ashfaq | Manufacturing | Best Researcher AwardΒ 

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

Google scholar

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. πŸ“šπŸŽ“

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. πŸ› οΈπŸ‘¨β€πŸ«

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. πŸ”¬πŸ’‘

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. πŸ†πŸŽ€

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)