Dr. Pardis Roozkhosh | additive manufacturing | Best Researcher Award
Lecturer, Ferdowsi University of Mashhad, Iran
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.
Publication Profile
Education
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
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.
Awards
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
Published: November 29, 2024 | Journal: International Journal of System Assurance Engineering and Management
Cited by: Pending
Designing a new model for the hub location-allocation problem with considering tardiness time and cost uncertainty
Published: January 2, 2023 | Journal: International Journal of Management Science and Engineering Management
Cited by: Pending
MLP-based Learnable Window Size for Bitcoin price prediction
Published: August 2022 | Journal: Applied Soft Computing
Cited by: Part of ISSN: 1568-4946
Designing a new model for the hub location-allocation problem with considering tardiness time and cost uncertainty
Published: June 5, 2022 | Journal: International Journal of Management Science and Engineering Management
Cited by: Pending