Reza sheikh | Decision Sciences | Best Researcher Award

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. ๐Ÿ“˜๐Ÿง 

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๐Ÿ“š 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 Bachelorโ€™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. ๐ŸŽ“๐Ÿ“ˆ๐Ÿ› ๏ธ

๐Ÿ’ผ 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. ๐Ÿ›๏ธ๐Ÿ“Š๐Ÿง‘โ€๐Ÿซ

๐Ÿ… 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 universityโ€™s academic reputation. ๐Ÿฅ‡๐Ÿ“œ๐Ÿ†

๐Ÿ”ฌ 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. ๐Ÿ“Šโš™๏ธ๐Ÿ“š

Publication Top Notes

๐Ÿ“˜ Base-criterion on Multi-Criteria Decision-Making Method and Its Applications โ€“ ๐Ÿ”ข Cited by: 134 โ€“ ๐Ÿ“… 2020
๐Ÿ“˜ The Impact of Digital Marketing Strategies on Customerโ€™s Buying Behavior in Online Shopping Using the Rough Set Theory โ€“ ๐Ÿ”ข 80 โ€“ ๐Ÿ“… 2022
๐Ÿ“˜ Grey SERVQUAL Method to Measure Consumers’ Attitudes Towards Green Products โ€“ ๐Ÿ”ข 72 โ€“ ๐Ÿ“… 2018
๐Ÿ“˜ A Novel Approach for Group Decision Making Based on the Bestโ€“Worst Method (G-BWM) โ€“ ๐Ÿ”ข 69 โ€“ ๐Ÿ“… 2021
๐Ÿ“˜ Evaluation and Selecting the Contractor in Bidding with Incomplete Information Using MCGDM Method โ€“ ๐Ÿ”ข 49 โ€“ ๐Ÿ“… 2019
๐Ÿ“˜ Base Criterion Method (BCM) โ€“ ๐Ÿ”ข 43 โ€“ ๐Ÿ“… 2022
๐Ÿ“˜ Ranking Financial Institutions Based on Trust in Online Banking Using ARAS and ANP Method โ€“ ๐Ÿ”ข 43 โ€“ ๐Ÿ“… 2013
๐Ÿ“˜ Assessing the Agility of Hospitals in Disaster Management Using Fuzzy Flowsort โ€“ ๐Ÿ”ข 39 โ€“ ๐Ÿ“… 2021
๐Ÿ“˜ Assessing Hospital Preparedness for Disasters Using Rough Set Theory (COVID-19) โ€“ ๐Ÿ”ข 36 โ€“ ๐Ÿ“… 2022
๐Ÿ“˜ Self-Assessment of Parallel Network Systems with Intuitionistic Fuzzy Data โ€“ ๐Ÿ”ข 31 โ€“ ๐Ÿ“… 2019
๐Ÿ“˜ Extension of Base-Criterion Method Based on Fuzzy Set Theory โ€“ ๐Ÿ”ข 27 โ€“ ๐Ÿ“… 2020
๐Ÿ“˜ Project Portfolio Selection with Interactions under Uncertainty (Hesitant Fuzzy Set) โ€“ ๐Ÿ”ข 26 โ€“ ๐Ÿ“… 2018
๐Ÿ“˜ Analysis and Classification of Companies on Tehran Stock Exchange with Incomplete Information โ€“ ๐Ÿ”ข 18 โ€“ ๐Ÿ“… 2021
๐Ÿ“˜ Proximity/Remoteness Measurement for Customer Classification โ€“ ๐Ÿ”ข 17 โ€“ ๐Ÿ“… 2022
๐Ÿ“˜ Extension of Bestโ€“Worst Method Based on Spherical Fuzzy Sets โ€“ ๐Ÿ”ข 16 โ€“ ๐Ÿ“… 2024
๐Ÿ“˜ Product Portfolio Optimisation Using Teachingโ€“Learning-Based Optimisation Algorithm โ€“ ๐Ÿ”ข 16 โ€“ ๐Ÿ“… 2016

Mendas Abdelkader | Decision Sciences | Best Paper Award

Dr. Mendas Abdelkader | Decision Sciences | Best Paper Award

Dr. Mendas Abdelkader, Centre des Techniques Spatiales, Algeria

Dr. Abdelkader Mendas ๐ŸŒ๐Ÿ“Š is a distinguished researcher and leader at the Centre des Techniques Spatiales (CTS), Algeria. His expertise spans Geomatics, Spatial Decision-Making, and Environmental Sciences. He has significantly contributed to advancing multicriteria analysis for spatial decision-making, leading impactful projects such as GIS-based agricultural suitability mapping and data imperfection analysis. A prolific author, Dr. Mendas has published extensively in prestigious journals and serves as a reviewer for many scientific publications. Additionally, he actively mentors postgraduate students and fulfills vital scientific and pedagogical responsibilities. Dr. Mendas is a member of key professional networks, including the European Work Group โ€“ MCDA. ๐ŸŒ๐Ÿ“š

 

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Academic and Professional Background

Dr. Abdelkader Mendas, a dedicated researcher and department leader at the Centre des Techniques Spatiales (CTS), Algeria, specializes in Geomatics Sciences, Spatial Decision-Making, and Environmental Sciences. His recent work emphasizes Multi-Criteria Analysis to enhance spatial decision-making. Collaborating across geosciences disciplines, Dr. Mendas has led numerous research projects and authored impactful scientific papers. A passionate mentor, he actively trains students at both graduation and post-graduation levels while holding key scientific and pedagogical roles. As a respected reviewer for renowned journals, Dr. Mendas continues to shape advancements in his field, making significant contributions to geospatial innovations. ๐ŸŒ๐Ÿ“š

 

Research and Innovations

Dr. Abdelkader Mendas has contributed extensively to advancements in spatial analysis and decision-making. His projects include developing processes for spatial analysis and decision-making support, integrating GIS with multi-criteria analysis to enhance decision-making. He has studied the impact of data imperfections on spatial decision support and created systems to map agricultural suitability. Dr. Mendas also compared hierarchical analysis and outranking approaches for identifying suitable agricultural lands. Additionally, his work explores group decision-making in spatially-referenced problems, showcasing his commitment to improving geospatial tools for practical applications. These innovations reflect his expertise in Geomatics and Earth Sciences. ๐ŸŒ๐Ÿ“ˆ๐ŸŒพ

 

Areas of Research

Dr. Abdelkader Mendas specializes in Geomatics, focusing on the integration of geospatial technologies for practical applications. His research delves into Multicriteria Decision Making (MCDM), exploring innovative methods to enhance spatial decision-making processes. Additionally, his work in Earth Sciences emphasizes the application of geomatic tools to address environmental and land management challenges. Through his studies, he has contributed to improving decision-making frameworks by incorporating advanced spatial analysis techniques. Dr. Mendasโ€™s interdisciplinary approach underscores his dedication to advancing geosciences and developing effective solutions for spatial planning and environmental sustainability. ๐ŸŒ๐Ÿ“ˆ๐ŸŒพ

 

Publication Top Notesย ๐Ÿ“š

  • Integration of MultiCriteria Decision Analysis in GIS to develop land suitability for agriculture (Cited by: 363, Year: 2012) ๐ŸŒพ๐Ÿ“Š
  • Lโ€™analyse multicritรจre comme outil dโ€™aide ร  la dรฉcision pour la localisation spatiale des zones ร  forte pression anthropique (Cited by: 26, Year: 2007) ๐ŸŒ๐Ÿ“ˆ
  • The contribution of the digital elevation models and geographic information systems in a watershed hydrologic research (Cited by: 23, Year: 2010) ๐ŸŒŠ๐Ÿ—บ๏ธ
  • Support system based on GIS and weighted sum method for land suitability map development (Cited by: 20, Year: 2012) ๐ŸŒพ๐Ÿ–ฅ๏ธ
  • ร‰laboration dโ€™un systรจme dโ€™aide ร  la dรฉcision spatiale – Application ร  la dangerositรฉ de lโ€™infrastructure routiรจre (Cited by: 18, Year: 2007) ๐Ÿšง๐Ÿ“Š
  • Improvement of land suitability assessment for agriculture (Cited by: 16, Year: 2014) ๐ŸŒฑ๐Ÿ“‰
  • Comparison between two multicriteria methods for assessing land suitability for agriculture (Cited by: 15, Year: 2021) ๐ŸŒพ๐Ÿ› ๏ธ
  • Water impoundment location using GIS and multicriteria decision-making (Cited by: 10, Year: 2010) ๐Ÿ’ง๐Ÿ“
  • Hydrologic model combined with GIS for estimating hydrologic balance at watershed scale (Cited by: 10, Year: 2008) ๐ŸŒŠ๐Ÿ’ป
  • Contribution of GIS to irrigation planning – Zriga region case study (Cited by: 6, Year: 2003) ๐Ÿšœ๐Ÿ–ฅ๏ธ
  • Mise en place d’un SIG pour le suivi de l’รฉrosion hydrique (Cited by: 6, Year: 2002) ๐ŸŒง๏ธ๐Ÿ“
  • Hydrologic model combined to a GIS for watershed-scale balance estimation (Cited by: 4, Year: 2007) ๐ŸŒŠ๐Ÿ—บ๏ธ
  • Multicriterion analysis for decision-making: Naรขma case study (Cited by: 3, Year: 2007) ๐ŸŒ๐Ÿ“ˆ
  • Impact of GRACE Geopotential Model and SRTM data on geoid modeling in Algeria (Cited by: 1, Year: 2009) ๐ŸŒ๐Ÿ“Š
  • Le GPS cinรฉmatique for enriching road information systems (Cited by: 1, Year: 2006) ๐Ÿš—๐Ÿ“Œ