Reza sheikh | Decision Sciences | Best Researcher Award

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Assoc. Prof. Dr. Reza sheikh | Decision Sciences | Best Researcher Award

Assoc. Prof. Dr. Reza sheikh, shahrooduniversity of technology, Iran

Assoc. Prof. Dr. Reza Sheikh is a distinguished academic in Production and Operations Management at the Shahrood University of Technology, Iran. With over two decades of teaching and administrative experience, he has served in key leadership roles, including Vice President and Dean of Faculty. He is a prolific author and researcher with expertise in axiomatic design, decision modeling, and quality systems. His work has significantly contributed to the advancement of industrial engineering education and research in Iran. Dr. Sheikh is recognized for his dedication to academic excellence, innovative research, and institutional development in higher education. 📘🧠

Publication Profile

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📚 Education

Dr. Reza Sheikh earned his Ph.D. in Industrial Engineering from Tehran University in 2006, focusing on lean production systems using axiomatic design. He holds a Master’s degree in Industrial Engineering from Tarbiat Modares University (1998), where he explored fuzzy logic applications in network analysis. His academic journey began with a Bachelor’s degree in Industrial Engineering from Shahid Beheshti University, Tehran (1996). Throughout his education, Dr. Sheikh developed a solid foundation in decision-making techniques, systems analysis, and optimization, which have shaped his research and teaching philosophy. His academic background supports his multifaceted contributions to industrial management. 🎓📈🛠️

💼 Experience

Since 1999, Dr. Sheikh has been a faculty member at Shahrood University of Technology, contributing as a professor, dean, and vice president. He played pivotal roles in various administrative positions including Director of Monitoring & Evaluation, Vice President of Science & Technology Park, and Incubator Centers Manager. His leadership extended to managing academic productivity and overseeing finance and administration at the university. His roles across research, education management, and university governance have shaped institutional policies and promoted academic excellence. His service reflects a deep commitment to strategic planning, quality assurance, and innovation in higher education. 🏛️📊🧑‍🏫

🏅 Awards and Honors

Dr. Reza Sheikh has been consistently recognized for his contributions to education and research. He received the Distinguished Professor of the Year in Research Award (2015) and was honored multiple times (2010, 2011, 2013, 2015, and 2019) for his excellence in teaching at the Faculty of Industrial Engineering and Management, Shahrood University of Technology. These honors underscore his commitment to advancing knowledge and fostering innovation in the fields of production and operations management. His dedication has significantly impacted faculty development, student learning, and the university’s academic reputation. 🥇📜🏆

🔬 Research Focus

Dr. Sheikh’s research spans Production and Operations Management, Multi-Criteria and Multi-Objective Decision Making (MCDM & MODM), Axiomatic Design, and Statistical Analysis. He specializes in developing mathematical models for lean production scheduling, integrating decision-making tools like TRIZ, rough set theory, and fuzzy logic. His studies also explore service quality, ethics in academia, institutional meritocracy, and faculty performance systems. His work contributes both theoretical and applied insights, addressing organizational efficiency and quality improvement. His scholarly output includes numerous journal articles, research projects, and books that influence academic and industrial practices alike. 📊⚙️📚

Publication Top Notes

📘 Base-criterion on Multi-Criteria Decision-Making Method and Its Applications – 🔢 Cited by: 134 – 📅 2020
📘 The Impact of Digital Marketing Strategies on Customer’s Buying Behavior in Online Shopping Using the Rough Set Theory – 🔢 80 – 📅 2022
📘 Grey SERVQUAL Method to Measure Consumers’ Attitudes Towards Green Products – 🔢 72 – 📅 2018
📘 A Novel Approach for Group Decision Making Based on the Best–Worst Method (G-BWM) – 🔢 69 – 📅 2021
📘 Evaluation and Selecting the Contractor in Bidding with Incomplete Information Using MCGDM Method – 🔢 49 – 📅 2019
📘 Base Criterion Method (BCM) – 🔢 43 – 📅 2022
📘 Ranking Financial Institutions Based on Trust in Online Banking Using ARAS and ANP Method – 🔢 43 – 📅 2013
📘 Assessing the Agility of Hospitals in Disaster Management Using Fuzzy Flowsort – 🔢 39 – 📅 2021
📘 Assessing Hospital Preparedness for Disasters Using Rough Set Theory (COVID-19) – 🔢 36 – 📅 2022
📘 Self-Assessment of Parallel Network Systems with Intuitionistic Fuzzy Data – 🔢 31 – 📅 2019
📘 Extension of Base-Criterion Method Based on Fuzzy Set Theory – 🔢 27 – 📅 2020
📘 Project Portfolio Selection with Interactions under Uncertainty (Hesitant Fuzzy Set) – 🔢 26 – 📅 2018
📘 Analysis and Classification of Companies on Tehran Stock Exchange with Incomplete Information – 🔢 18 – 📅 2021
📘 Proximity/Remoteness Measurement for Customer Classification – 🔢 17 – 📅 2022
📘 Extension of Best–Worst Method Based on Spherical Fuzzy Sets – 🔢 16 – 📅 2024
📘 Product Portfolio Optimisation Using Teaching–Learning-Based Optimisation Algorithm – 🔢 16 – 📅 2016

Enrique Mu | Decision Sciences | Excellence in Research

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Dr. Enrique Mu | Decision Sciences | Excellence in Research

Dr. Enrique Mu, Carlow University, United States

Dr. Enrique Mu is a Full Professor and University Faculty Research Officer at Carlow University, specializing in strategic decision-making and information systems. He holds a Ph.D. in Business Administration from the University of Pittsburgh and has a vast teaching and research experience across several international institutions. Dr. Mu is the Editor-in-Chief and Founder of the International Journal of the Analytic Hierarchy Process and has contributed to various strategic conferences globally. He is recognized for his leadership in AHP/ANP methodologies and has received numerous honors, including recognition from Carlow University and the City of Pittsburgh. 🌍📚📊

 

Publication Profile

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Academic Profile 🌍📚

Dr. Enrique Mu is a Full Professor and University Faculty Research Officer at Carlow University since 2016. He is also a Senior Research Advisor at the University of Pittsburgh and the Editor-in-Chief of the International Journal of the Analytic Hierarchy Process. With extensive international experience, Dr. Mu has taught at institutions like the University of Lima and the European Business School. He has served as a leader in strategic decision-making, including facilitating Pittsburgh’s cloud computing technology selection. Dr. Mu is recognized globally for his expertise in AHP/ANP methodologies and has earned numerous academic honors. 📊🌐

 

Education Background 🎓📚

Dr. Enrique Mu earned his Ph.D. in Business Administration with a major in Information Systems and a minor in Telecommunications from the Katz Graduate School of Business, University of Pittsburgh, in 2007. His dissertation, The Role of Mindfulness, Scanning, and Evaluation in the Assimilation of Information Technology: The Case of Enterprise Resource Planning Systems, was guided by esteemed faculty members. Dr. Mu also holds an M.S. in Management of Information Systems and an MBA from the same institution. He completed his undergraduate studies in Electrical and Electronics Engineering at San Marcos National University, Lima, Peru. 💻🔌

 

Certifications 🏅📜

Dr. Enrique Mu is certified in Quality Matters in Distance Learning Education. This certification highlights his expertise in ensuring high-quality, effective online education experiences. As a recognized leader in education, Dr. Mu’s certification demonstrates his commitment to advancing best practices in distance learning, emphasizing student-centered strategies and continuous improvement. This qualification enhances his role in delivering cutting-edge educational content, particularly in the realms of business and technology. His dedication to excellence in teaching reflects his deep understanding of educational quality standards in today’s digital learning environment. 💻📚

 

Academic Recognitions, Awards & Honors 🏅🎖️

Dr. Enrique Mu has earned numerous prestigious recognitions throughout his academic career. These include being appointed Honorary Chairman for the ISAHP 2024, co-organizer and Honorary Guest at the 21st ICEFM Conference in Poland (2022), and AHP/ANP Track Chair for the MCDM 2022 meeting in the U.K. He has received several awards, such as the Innovation Paper Award at the ISAHP 2018 and Best Paper Awards at the ISAHP conferences. He has been recognized by Carlow University for his exemplary research and scholarship and awarded the Carlow’s Dorothy Cochrane Scholarship. 🌍🏆

 

Research Focus Areas 🧠📊

Dr. Enrique Mu’s research spans a range of interdisciplinary areas, primarily focusing on decision-making processes and information systems. His work explores Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) for decision support in various sectors, including organizational mindfulness, information technology assimilation, and fraud risk assessment. He has also investigated virtual education, cloud technology solutions, and e-portfolios. His contributions extend to strategic planning, education sciences, and management systems, where he applies advanced decision-making models for organizational optimization and sustainability. His extensive work in multicriteria decision-making further underscores his expertise. 🌐💡📈

Publication Top Notes 📚

  • Practical decision making: an introduction to the Analytic Hierarchy Process (AHP) using super decisions V2 – 491 citations 📊, 2016
  • Understanding the analytic hierarchy process – 249 citations 📖, 2018
  • Development of an electronic Portfolio system success model: An information systems approach – 233 citations 💻, 2013
  • The assimilation of enterprise information system: An interpretation systems perspective – 84 citations 🔄, 2015
  • The assessment of organizational mindfulness processes for the effective assimilation of IT innovations – 66 citations 🧘, 2009
  • Best practices in analytic network process studies – 48 citations 🧮, 2020
  • Development of a fraud risk decision model for prioritizing fraud risk cases in manufacturing firms – 37 citations 💼, 2016
  • Impact on society versus impact on knowledge: Why Latin American scholars do not participate in Latin American studies – 37 citations 🌎, 2015
  • Meta-model of eportfolio usage in different environments – 30 citations 🖥️, 2011
  • The effects of the meaningfulness of salient brand and product-related text and graphics on website recognition – 28 citations 🌐, 2007
  • A unified framework for site selection and business forecasting using ANP – 25 citations 📍, 2006
  • Development of a Framework to Assess Challenges to Virtual Education in an Emergency Remote Teaching Environment: A Developing Country Student Perspective—The Case of Peru – 21 citations 📚, 2022
  • The Peruvian hostage crisis of 1996–1997: What should the government do? – 21 citations 🏛️, 1997
  • Conceptualizing the functional requirements for a next-generation e-portfolio system – 20 citations 🎓, 2010
  • Analytic network process in economics, finance, and management: Contingency factors, current trends, and further research – 19 citations 💰, 2024
  • The City of Pittsburgh goes to the cloud: a case study of cloud solution strategic selection and deployment – 19 citations ☁️, 2015
  • Paradigm shift in criminal police lineups: Eyewitness identification as multicriteria decision making – 16 citations 👁️, 2017
  • The higher-ed organizational-scholar tension: How scholarship compatibility and the alignment of organizational and faculty skills, values, and support affects scholar’s productivity – 15 citations 🎓, 2017
  • Stakeholder engagement and ANP best research practices in sustainable territorial and urban strategic planning – 14 citations 🌍, 2022
  • A contingent/assimilation framework for public interorganizational systems decisions: Should the City of Pittsburgh and Allegheny County consolidate information technology? – 14 citations 🏙️, 2018