Mr Abtin Ijadi Maghsoodi

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Doctoral Candidate - Doctor of Philosophy

Biography

Abtin Ijadi Maghsoodi is a PhD candidate in Operations and Supply Chain Management at the Department of Information Systems and Operations Management (ISOM), University of Auckland. He has been awarded the University of Auckland Business School Dean's Doctoral Scholarship. He received his M.Sc. degree in Industrial and Systems Engineering in 2018, and a B.Sc. degree in Industrial Engineering in 2015, both from Azad University, Iran. He has more than 5 years of job experience as Business Intelligence Analyst and Business Development Specialist. In 2020, Abtin was accredited by Operational Research (OR) Society as Candidate Associate [CandORS]. While being a PhD student, he is a Graduate Teaching Assistant at the Department of Information Systems and Operations Management. Since 2018, he has also been a visiting researcher (research collaborator) at the Sinbad² research group [acronym of Sistemas Inteligentes Basados en Análisis de Decisión Difusos (In English: Intelligent Systems Based on Fuzzy Decision Analysis] at the University of Jaén, Spain, working on Decision Support Tools for Large Scale Complex Systems. While being an active member of the Institute for Operations Research and the Management Sciences (INFORMS) and International Society on Multiple Criteria Decision Making, Abtin is responsible for the University of Auckland INFORMS Student Chapter as the founding member and the president of the chapter since 2021. He was also appointed as a member of the editorial board of INFORMS OR/MS Tomorrow for a period of two years. He has authored several research papers published in highly ranked journals, including Computers & Industrial Engineering, European Research on Management and Business Economics, Knowledge-based Systems, Archives of Civil and Mechanical Engineering, and Applied Soft Computing. 

Research | Current

PhD Research Project:

Improving Effectiveness and Efficiency of Acute Older Patients’ Journey: One of the main challenges in managing acutely unwell older people in hospitals is mitigating risks arising from comorbidity, chronic conditions, functional decline and other health complications. Functional decline is linked to higher hospital expenses and increased mortality. Evidence shows that dedicated geriatric units have been explicitly designed to prevent clinical complications in older patients admitted to the hospital for acute incidents. However, although research focusing on improving acute geriatric patients’ quality of care has been increasing in recent years, little work has been done in studying the operations and managerial aspects of the geriatric patient journey and no work has considered the four aspects often associated with value for money: efficiency, effectiveness, equity, and economy (4 E’s). The current study's primary aim is to develop and apply predictive models along with pathway modelling to improve the quality of care and design a more efficient pathway process of care for acute geriatric patients. For more information about my PhD project please visit the Project Log on Research Gate. 

Extracurricular Projects: 

Decision Intelligence & Optimized Decision Making: Decision Intelligence (DI) is an emerging discipline that augments knowledge discovery in data (KDD) and data science fields with various theories from decision science, social science, operations research, and managerial science in order to establish a framework for best practices in static and dynamic decision-making problems. Unlike other decision-making tools and methodologies, decision intelligence seeks to bring to bear a number of engineering practices to the process of creating a decision. In this project, I have tried to collaborate with scientists around the world in order to develop and apply various DI methodologies in different fields of study, to solve decision-making problems and provide an optimal decision solution. For more information about this project and published research studies under this project please visit the Project Log on Research Gate. 

Featured Publications: 

  • Ijadi Maghsoodi, A., Soudian, S., Martínez L, Herrera-Viedma, E., & Zavadskas, E. K. (2020). A phase change material selection using the interval-valued target-based BWM-CoCoMULTIMOORA approach: A case-study on interior building applications. Applied Soft Computing Journal, 95.10.1016/j.asoc.2020.106508
  • Ijadi Maghsoodi, A., Rasoulipanah, H., Martínez López L, Liao, H., & Zavadskas, E. K. (2020). Integrating interval-valued multi-granular 2-tuple linguistic BWM-CODAS approach with target-based attributes: Site selection for a construction project. Computers and Industrial Engineering, 13910.1016/j.cie.2019.106147
  • Ijadi Maghsoodi, A., Ijadi Maghsoodi, A., Poursoltan, P., Antucheviciene, J., & Turskis, Z. (2019). Dam construction material selection by implementing the integrated SWARA–CODAS approach with target-based attributes. Archives of Civil and Mechanical Engineering, 19 (4), 1194-1210. 10.1016/j.acme.2019.06.010
  • Ijadi Maghsoodi, A., Saghaei, A., & Hafezalkotob, A. (2019). Service quality measurement model integrating an extended SERVQUAL model and a hybrid decision support system. European Research on Management and Business Economics, 25 (3), 151-164. 10.1016/j.iedeen.2019.04.004
  • Ijadi Maghsoodi, A., Mosavat, M., Hafezalkotob, A., & Hafezalkotob, A. (2019). Hybrid hierarchical fuzzy group decision-making based on information axioms and BWM: Prototype design selection. Computers and Industrial Engineering, 127, 788-804.10.1016/j.cie.2018.11.018

Decision Support for Large Scale Complex Systems: Many technical and social systems of the present day can be viewed as systems with more significant, complex and complicated objects, showing various constrictions and limitations in their information infrastructure. These systems can be regarded as large-scale complex systems. In the era of “Big Data” it is impossible to solve many decision-making problems by using human intuition and perception of the problems. Hence, decision support systems and data-driven decision-making tools can help experts find optimal solutions for the decision problems. The primary goal of this project is to develop a comprehensive decision support system for large-scale complex systems using data science tools and techniques combined with operations research, mathematical modelling, and decision theory. Please visit the Project Log on Research Gate for more information about this project and published research studies under this project.

Featured Publications: 

  • Ijadi Maghsoodi, A., Riahi, D., Herrera-Viedma, E., & Zavadskas, E. K. (2020). An integrated parallel big data decision support tool using the W-CLUS-MCDA: A multi-scenario personnel assessment. Knowledge-Based Systems10.1016/j.knosys.2020.105749
  • Ijadi Maghsoodi, A., Kavian, A., Khalilzadeh, M., & Brauers, W. K. M. (2018). CLUS-MCDA: A novel framework based on cluster analysis and multiple criteria decision theory in a supplier selection problem. Computers & Industrial Engineering, 118, 409-422. 10.1016/j.cie.2018.03.011

Teaching | Current

  • [BUSAN 304] Business Analytics Capstone - S2/2020
  • [OPSMGT 371] Business Logistics - S1/2020
  • [BUSAN 304] Business Analytics Capstone - S2/2021

Distinctions/Honours

  • University of Auckland Business School Dean's Doctoral Scholarship [University of Auckland - 2020]

Responsibilities

  • Founding Member and President of the University of Auckland INFORMS Student Chapter (2021- Present)
  • Member of Editorial Board of INFORMS OR/MS Tomorrow (2021 - 2023)

Committees/Professional groups/Services

  • Candidate Associate [CandORS] of the Operational Research (OR) Society 
  • Member of the Institute for Operations Research and the Management Sciences (INFORMS)
  • Member of the International Society on Multiple Criteria Decision Making 
  • Member of the Operations Research Society of New Zealand (ORSNZ)
  • Member of the Association for Computing Machinery (ACM)

Selected publications and creative works (Research Outputs)

As of 29 October 2020 there will be no automatic updating of 'selected publications and creative works' from Research Outputs. Please continue to keep your Research Outputs profile up to date.
  • Ijadi Maghsoodi, A., Soudian, S., Martínez L, Herrera-Viedma, E., & Zavadskas, E. K. (2020). A phase change material selection using the interval-valued target-based BWM-CoCoMULTIMOORA approach: A case-study on interior building applications. Applied Soft Computing Journal, 95.10.1016/j.asoc.2020.106508
  • Ijadi Maghsoodi, A., Riahi, D., Herrera-Viedma, E., & Zavadskas, E. K. (2020). An integrated parallel big data decision support tool using the W-CLUS-MCDA: A multi-scenario personnel assessment. Knowledge-Based Systems10.1016/j.knosys.2020.105749
  • Ijadi Maghsoodi, A., Rasoulipanah, H., Martínez López L, Liao, H., & Zavadskas, E. K. (2020). Integrating interval-valued multi-granular 2-tuple linguistic BWM-CODAS approach with target-based attributes: Site selection for a construction project. Computers and Industrial Engineering, 13910.1016/j.cie.2019.106147
  • Ijadi Maghsoodi, A., Saghaei, A., & Hafezalkotob, A. (2019). Service quality measurement model integrating an extended SERVQUAL model and a hybrid decision support system. European Research on Management and Business Economics, 25 (3), 151-164. 10.1016/j.iedeen.2019.04.004
  • Ijadi Maghsoodi, A., Ijadi Maghsoodi, A., Poursoltan, P., Antucheviciene, J., & Turskis, Z. (2019). Dam construction material selection by implementing the integrated SWARA–CODAS approach with target-based attributes. Archives of Civil and Mechanical Engineering, 19 (4), 1194-1210. 10.1016/j.acme.2019.06.010
  • Ijadi Maghsoodi, A., Mosavat, M., Hafezalkotob, A., & Hafezalkotob, A. (2019). Hybrid hierarchical fuzzy group decision-making based on information axioms and BWM: Prototype design selection. Computers and Industrial Engineering, 127, 788-804. 10.1016/j.cie.2018.11.018
  • Ijadi Maghsoodi, A., Kavian, A., Khalilzadeh, M., & Brauers, W. K. M. (2018). CLUS-MCDA: A novel framework based on cluster analysis and multiple criteria decision theory in a supplier selection problem. Computers & Industrial Engineering, 118, 409-422. 10.1016/j.cie.2018.03.011
  • Ijadi Maghsoodi, A., Hafezalkotob, A., Azizi Ari, I., Ijadi Maghsoodi, S., & Hafezalkotob, A. (2018). Selection of Waste Lubricant Oil Regenerative Technology Using Entropy-Weighted Risk-Based Fuzzy Axiomatic Design Approach. Informatica, 29 (1), 41-74. 10.15388/Informatica.2018.157

Contact details

Primary office location

SIR OWEN G GLENN BUILDING - Bldg 260
Level 6, Room 601
12 GRAFTON RD
AUCKLAND CENTRAL
AUCKLAND 1010
New Zealand

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