Azam Modares | Supply chain | Best Faculty Award

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Dr. Azam Modares | Supply chain | Best Faculty Award

Management, Ferdowsi university of Mashhad Iran

Azam Modares is an accomplished industrial management expert with a Ph.D. in Industrial Management from Ferdowsi University of Mashhad. Specializing in Operations Research, he has developed a deep understanding of mathematical modeling, system dynamics, and supply chain management. Modares is known for his extensive expertise in areas like machine learning, inventory control, and human reliability. He is also proficient in multiple modeling languages and software tools, including UML, BPMN, Matlab, and Arena. With a passion for teaching, Modares has contributed significantly to academic development, teaching numerous courses related to industrial management, operations research, and project management.

Publication Profile

Scopus

Google Scholar

🎓 Education

Ph.D. in Industrial Management – Ferdowsi University of Mashhad (Specialization: Operations Research). Master’s in Industrial Management – University of Guilan (Specialization: Production). Bachelor’s in Industrial Management – University of Tehran His academic journey reflects a profound commitment to research and practical application in the field of industrial management, with particular focus on optimizing operations and systems using mathematical and computational methods.

💼 Experience

Azam Modares has an extensive career in both academia and industry. He has taught various courses in industrial management, operations research, and business process management at the undergraduate level. His work also spans the design and implementation of quantitative models and the application of machine learning to solve complex industrial problems. Modares has worked in the development of rule-based inference systems and the analysis of supply chain dynamics. He is proficient in using software like GAMS, Lingo, and SPSS for modeling and statistical analysis.

🏆 Awards & Honors

Modares has received several prestigious awards, including the Best Paper Award in Operations Research, Research Excellence Award for outstanding contributions in academic research, and Best Educator awards for his exceptional teaching in industrial management. He also earned recognition for his leadership in project management and excellence in quantitative modeling and simulation. His accomplishments highlight his deep impact on both academic and practical advancements in industrial management.

🔬 Research Focus

Azam Modares’s research primarily focuses on system dynamics, inventory control, machine learning applications in industrial settings, and equipment and human reliability. He explores business process management and aims to optimize supply chain systems through mathematical and computational modeling. His work addresses real-world industrial challenges, particularly in the design of efficient decision-making systems and the integration of AI technologies into operations research. Modares also investigates rule-based inference systems to improve management processes.

Conclusion

Azam Modares exhibits a well-rounded profile that highlights significant strengths in teaching, technical skills, and research. His robust academic qualifications, coupled with a comprehensive understanding of industrial management and operations research, position him as a strong candidate for the Best Faculty Award. However, improving his research output and enhancing international collaborations could further elevate his standing in the academic community and broaden the impact of his work.

Publication Top Notes

  • Title: A new supply chain design to solve supplier selection based on internet of things and delivery reliability
    Authors: A Modares, M Kazemi, VB Emroozi, P Roozkhosh
    Journal: Journal of Industrial and Management Optimization
    Volume & Issue: 19 (11), 7993-8028
    Year: 2023

 

  • Title: A vendor-managed inventory model based on optimal retailers selection and reliability of supply chain
    Authors: A Modares, NM Farimani, VB Emroozi
    Journal: Journal of Industrial and Management Optimization
    Volume & Issue: 19 (5), 3075-3106
    Year: 2023

 

  • Title: A new model to design the suppliers portfolio in newsvendor problem based on product reliability
    Authors: A Modares, NM Farimani, VB Emroozi
    Journal: Journal of Industrial and Management Optimization
    Volume & Issue: 19 (6), 4112-4151
    Year: 2023

 

  • Title: Selecting green suppliers by considering the internet of things and CMCDM approach
    Authors: V Bafandegan Emroozi, P Roozkhosh, A Modares, F Roozkhosh
    Journal: Process Integration and Optimization for Sustainability
    Volume & Issue: 7 (5), 1167-1189
    Year: 2023

 

  • Title: Developing a newsvendor model based on the relative competence of suppliers and probable group decision-making
    Authors: A Modares, N Motahari, V Bafandegan Emroozi
    Journal: Industrial Management Journal
    Volume & Issue: 14 (1), 115-142
    Year: 2022

 

  • Title: Application of particle swarm optimization algorithm to aggregate production planning
    Authors: M Ramazanian, A Modares
    Journal: Asian Journal of Business Management Studies
    Volume & Issue: 2 (2), 44-54
    Year: 2011

 

  • Title: A new vendor-managed inventory four-tier model based on reducing environmental impacts and optimal suppliers selection under uncertainty
    Authors: A Modares, NM Farimani, F Dehghanian
    Journal: Journal of Industrial and Management Optimization
    Volume & Issue: 20 (1), 188-220
    Year: 2024

 

  • Title: Evaluate and control the factors affecting the equipment reliability with the approach Dynamic systems simulation, Case study: Ghaen Cement Factory
    Authors: A Modares, V Bafandegan Emroozi, Z Mohemmi
    Journal: Journal of Quality Engineering and Management
    Volume & Issue: 11 (2), 89-106
    Year: 2021

 

  • Title: A new dynamic model to optimize the reliability of the series-parallel systems under warm standby components
    Authors: AMF Saghih, A Modares
    Journal: Journal of Industrial and Management Optimization
    Volume & Issue: 19 (1), 376-401
    Year: 2022

 

  • Title: Applying a multi-criteria group decision-making method in a probabilistic environment for supplier selection (Case study: Urban railway in Iran)
    Authors: A Modares, N Motahari Farimani, V Bafandegan Emroozi
    Journal: Journal of Optimization in Industrial Engineering
    Volume & Issue: 16 (1), 129-140
    Year: 2023

 

  • Title: A new model to optimize the human reliability based on CREAM and group decision making
    Authors: V Bafandegan Emroozi, A Modares, P Roozkhosh
    Journal: Quality and Reliability Engineering International
    Volume & Issue: 40 (2), 1079-1109
    Year: 2024

 

  • Title: Improving quality and reducing costs in supply chain: The developing VIKOR method and optimization
    Authors: VB Emroozi, M Kazemi, A Modares, P Roozkhosh
    Journal: Journal of Industrial and Management Optimization
    Volume & Issue: 20 (2), 494-524
    Year: 2024

 

 

 

 

 

 

 

 

 

Abel Villa | Bioeconomy of Sustainability | Best Researcher Award

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Dr. Abel Villa | Bioeconomy of Sustainability | Best Researcher Award

Dr at University of Manizales, Colombia

Abel Villa, PhD in Science and Technology Studies, has over 10 years of experience in multicultural and multilingual settings across Mexico, Germany, and the UK. He specializes in international business, logistics, and value chain analysis in agriculture, focusing on organic and sustainable markets. With expertise in export operations, sustainable business models, and producer-centered value distribution, Abel has managed international logistics and spearheaded large-scale export projects. His academic work centers on collective learning dynamics and capacity development for farmers in value chains.

Profile

Orcid

🎓 Education 

Ph.D. in Science and Technology Studies: University of Edinburgh, UK. Researched collective learning dynamics in organic agriculture across three case studies. Developed a framework for continuous producer training to enhance capabilities in value chains. International Certifications: Bilingual proficiency (English-Spanish) and B2-level German, enabling work across international contexts.

💼 Experience

Project Manager (2013-2018): University of Edinburgh, UK. Studied organic farming practices and conceptualized frameworks for producer capacity building.. International Director of Logistics & Sales (2007-2009): Agro Eureka SA & CV, Mexico. Managed international logistics, increasing organic food exports to the U.S. by 50%. Oversaw $2M B2B food export operations, ensuring quality control, customs compliance, and efficient supply chain management.

🏆 Awards & Honors

Successfully developed and implemented international logistics models, achieving a 50% growth in organic food exports. Designed and executed a $2M export model under Incoterm DDP, ensuring seamless operations in the U.S. market. Recognized for contributions to sustainable value distribution and strengthening agricultural producer capabilities.

🔬 Research Focus

Sustainable Agriculture: Analyzed collective learning processes in organic farming to enhance producer knowledge and training. Value Chains: Focus on equitable value distribution strategies for small-scale producers in international agriculture markets. Market Mechanisms: Researching sustainable business models that foster lasting relationships and economic growth for farmers.

Conclusion

Abel Villa’s combined expertise in academic research and international agricultural logistics makes him a strong candidate for the Best Researcher Award. His innovative approaches to value chain analysis, sustainability, and producer empowerment demonstrate his significant impact on both research and industry. With further focus on publishing and emerging technologies, he has the potential to become a leading figure in sustainable agriculture and international value chain research.

📚Publications 

  1. Title: A Critical Analysis of the Dynamics of Stakeholders for Bioeconomy Innovation: The Case of Caldas, Colombia
    Year: 2024
    Authors: Carlos Humberto González Escobar; Juan Carlos Granobles Torres; Abel Osvaldo Villa Rodríguez

 

  1. Title: Analysis of Impact of Crop Diversification at Regional Level and for Consumers Based on Selected Value Chains
    Year: 2022
    Authors: Villa Rodriguez Abel Osvaldo; Rowan Dumper-Pollard; Katie Bliss; Ambrogio Costanzo; Antoine Messean; Clementine Antier; Anton Riera; Sylvain Quiédeville; Hansueli Dierauer; Didier Stillmant et al.

 

  1. Title: Characteristics of Successful Value Chains
    Year: 2022
    Authors: Villa Rodriguez Abel Osvaldo; Rowan Dumper-Pollard; Chiara Tuoni; Daniele Vergamini; Victoria Schoen; Fabio Bartolini; Robert Borek; Alma Thiesmeier; Zaira Ambu; Arthur Follebout et al.

 

  1. Title: Building Successful Value Chains for Diversified Cropping Systems, Using Hodmedods as an Example
    Year: 2022
    Authors: Villa Rodriguez Abel Osvaldo; Rowan Dumper-Pollard; Katie Bliss; Josiah Meldrum

 

  1. Title: How to Support the Development of Crop Diversification? The Importance of an Approach at the Value Chain Level
    Year: 2022
    Authors: Villa Rodriguez Abel Osvaldo; Clémentine Antier; Philippe V. Baret; Walter Rossing; M’hand Fares; Loïc Viguier; Antoine Messéan

 

  1. Title: Procesos de Aprendizaje y Modernización Productiva en el Agro del Noroeste de México: Los Casos de la Agricultura Comercial de la Costa de Hermosillo, Sonora y la Agricultura Orgánica de la Zona Sur de Baja California Sur
    Year: 2013
    Authors: Villa Rodriguez Abel Osvaldo; Alvaro Bracamonte Sierra

 

Pardis Roozkhosh | Supply Chain | Women Researcher Award

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Dr. Pardis Roozkhosh | Supply Chain | Women Researcher Award

Dr at Allameh Tabataba’e University of Tehran,  Iran

Pardis Roozkhosh is a Ph.D. candidate in Industrial Management at Ferdowsi University of Mashhad, specializing in operations research and resilient supply chains with additive manufacturing. She holds an M.S. in Industrial Engineering and a B.S. in Industrial Engineering from Sadjad University and Birjand University, respectively. She has worked as a teaching assistant and researcher at various prestigious universities, focusing on supply chain optimization, machine learning, and blockchain in industrial settings. Pardis has co-authored several peer-reviewed journal articles and conference papers and is recognized for her significant contributions to industrial engineering. She was honored with the Alborz Prize in 2024.

Profile

Scopus

🎓 Education 

Pardis completed her Ph.D. in Industrial Management (Operations Research) at Ferdowsi University of Mashhad in 2024 with a perfect GPA of 4.00/4.00. Her thesis, “Resilient Supply Chain with Additive Manufacturing Capability,” focused on optimizing supply chain systems using advanced technologies. She earned her M.S. in Industrial Engineering from Sadjad University in 2018, with a thesis on solving partial inspection problems. She completed her B.S. in Industrial Engineering from Birjand University of Technology in 2015, where she laid the foundation for her career in industrial systems optimization.

💼 Experience

Pardis has extensive teaching experience across several universities, including Allameh Tabataba’i University, Ferdowsi University of Mashhad, and Sadjad University. She has taught courses in statistics, inventory control, probability theory, financial management, and project management, among others. In addition to her teaching roles, she has contributed as a research assistant, working on projects related to logistics, supply chain optimization, and agrovoltaic modeling. Her research has been applied in both academic and industrial settings, enhancing the practical application of industrial engineering principles.

🏆 Awards & Honors

Pardis has received multiple accolades, including the prestigious Alborz Prize, the Iranian equivalent of the Nobel Prize, in 2024. She was ranked among the top 5% of students in the nationwide Ph.D. entrance exam (Conquer) in February 2019. She also served as an executive assistant at the Journal of Systems Thinking in Practice (2022). Her achievements highlight her excellence in academia, research, and contribution to the field of industrial management.

🔬 Research Focus

Pardis’ research focuses on resilient supply chains, additive manufacturing, optimization models, and machine learning techniques in industrial settings. She explores the integration of blockchain, smart contracts, and Internet of Things (IoT) for enhancing supply chain sustainability and reliability. Her work includes developing models for cost uncertainty, supply chain design, and system reliability, with applications in real-world industrial problems. Pardis is particularly interested in the intersection of operations research, technology, and sustainability, aiming to revolutionize modern supply chain management.

Conclusion

Mohd Ashraf Bhat is a talented and dedicated scholar whose contributions to Functional Analysis and Operator Theory mark him as an emerging leader in the field. His exceptional research, teaching contributions, and numerous awards and recognitions demonstrate his potential to make a lasting impact. With his commitment to expanding his research horizons and collaborative efforts, Bhat is a deserving candidate for the Best Scholar Award.

📚Publications 

  1. Trainable Monte Carlo-MLP for Cost Uncertainty in Resilient Supply Chain Optimization with Additive Manufacturing Implementation Challenges
    • Authors: Roozkhosh, P., Ghorbani, M.
    • Journal: Applied Soft Computing
    • Volume: 168
    • Article No.: 112501
    • Year: 2025

 

  1. A New Method to Optimize the Reliability of Repairable Components with a Switching Mechanism and Considering Costs and Weight Uncertainty
    • Authors: Roozkhosh, P., Saghih, A.M.F.
    • Journal: International Journal of Industrial Engineering and Production Research
    • Volume: 35(3), pp. 183-206
    • Year: 2024

 

  1. A Novel Integrated Supply Chain Model to Manage Perishable Products Demand and Quality by Applying IoT in Vendor-Managed Inventory
    • Authors: Bafandegan Emroozi, V., Modares, A., Roozkhosh, P., Agarwal, R.
    • Journal: Process Integration and Optimization for Sustainability
    • Volume: 8(4), pp. 1163-1191
    • Year: 2024

 

  1. Dynamic Analysis of Bitcoin Price Under Market News and Sentiments and Government Support Policies
    • Authors: Roozkhosh, P., Pooya, A.
    • Journal: Computational Economics
    • Volume: 64(2), pp. 1163-1198
    • Year: 2024

 

  1. Presenting a New Model for Evaluating the Factors Affecting Equipment Reliability Using System Dynamics
    • Authors: Modares, A., Pooya, A., Emroozi, V.B., Roozkhosh, P.
    • Journal: Quality and Reliability Engineering International
    • Volume: 40(5), pp. 2864-2890
    • Year: 2024

 

  1. Prioritizing Barriers to Resilience in Blood Supply Chains: An Integrated Multi-Criteria Decision-Making Approach
    • Authors: Sibevei, A., Roozkhosh, P.
    • Journal: Operations Research Forum
    • Volume: 5(2), 44
    • Year: 2024

 

  1. Designing a Changeable Multi-Level Supply Chain Network with Additive Manufacturing Capability and Costs Uncertainty: A Monte Carlo Approach
    • Authors: Roozkhosh, P., Pooya, A., Soleimani Fard, O., Bagheri, R.
    • Journal: Operational Research
    • Volume: 24(1), 5
    • Year: 2024

 

  1. A New Model to Optimize the Human Reliability Based on CREAM and Group Decision Making
    • Authors: Bafandegan Emroozi, V., Modares, A., Roozkhosh, P.
    • Journal: Quality and Reliability Engineering International
    • Volume: 40(2), pp. 1079-1109
    • Year: 2024

 

  1. Revolutionizing Supply Chain Sustainability: An Additive Manufacturing-Enabled Optimization Model for Minimizing Waste and Costs
    • Authors: Roozkhosh, P., Pooya, A., Soleimani Fard, O., Bagheri, R.
    • Journal: Process Integration and Optimization for Sustainability
    • Volume: 8(1), pp. 285-300
    • Year: 2024

 

  1. Improving Quality and Reducing Costs in Supply Chain: The Developing VIKOR Method and Optimization
    • Authors: Emroozi, V.B., Kazemi, M., Modare, A., Roozkhosh, P.
    • Journal: Journal of Industrial and Management Optimization
    • Volume: 20(2), pp. 494-524
    • Year: 2024

 

Sahar Zeinali | Autonomous systems| Best Researcher Award

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Dr. Sahar Zeinali| Autonomous systems | Best Researcher Award

Dr, Institute for Electrical Engineering in Medicine, University of Luebeck, Germany

👩‍🔬 With a Ph.D. in Control Systems from Sharif University of Technology and experience as a Researcher in Automotive Systems at the University of Lübeck, Germany, I specialize in developing driving assistance systems for autonomous vehicles. Collaborating with industry leaders like ZF Group and Infineon Technologies, my work focuses on model-based and AI-based methods to enhance energy efficiency, driving comfort, and safety. Proficient in MATLAB, Simulink, and Python, I have a strong background in software architecture design and algorithm implementation. Recognized for academic excellence and ranked among top university entrants, I bring expertise in control engineering and a dedication to innovation in automotive technology.🌟

Profile

Scopus

Orcid

 

💼Professional Experience

Researcher in Automotive Systems University of Lübeck, Lübeck, Germany 2022–Present Collaborated with ZF Group and Infineon Technologies on the EEmotion project. Developed driving assistance systems for autonomous vehicles using model-based and AI-based methods. Enhanced energy-efficiency, driving comfort, and safety. Created software and system simulation requirements. Designed software architecture and interfaces for integration and evaluation purposes. Implemented and validated algorithms in the simulation environment. Conducted Software-in-the-loop (SIL) testing. Control Engineer (Part-time) Namvaran Consulting Company, Tehran, Iran 2018–2019

🎓Education

Ph.D. in Control Systems Sharif University of Technology, Tehran, Iran 2016–2021 Visiting Researcher in Control Systems Universitat Autònoma de Barcelona, Barcelona, Spain 2019–2020 M.Sc. in Modeling, Simulation and Control Sharif University of Technology, Tehran, Iran 2013–2015 B.Sc. in Chemical Engineering Sharif University of Technology, Tehran, Iran 2009–2013 Notable Projects Design of Interaction-Aware Driving Assistance Systems for Autonomous Vehicles University of Lübeck, Lübeck, Germany 2023–Present

🖥️Skills

  • Software: MATLAB & Simulink, IPG CarMaker, Comsol Multiphysics
  • Python Packages & Libraries: TensorFlow, Keras, Scikit-learn, Gymnasium
  • Programming Language: Python, MATLAB, C++
  • Agile Methodology: Scrum
  • Development Tools: Git
  • Typesetting: LaTeX, Microsoft Office
  • Operating System: Windows, macOS

🏆Honors

Recognized for studying at Sharif University of Technology, Iran’s top university. Ranked 3rd out of over 2000 participants in the Ph.D. Entrance Exam in Iran, 2015. Directly admitted to the M.Sc. program as an Exceptional Talented Student, top 10% by GPA, at Sharif University of Technology, Tehran, Iran, 2013. Ranked 500th among more than 350,000 university entrance participants in Iran, 2009. Member of Iran’s National Elites Foundation. Admitted to Exceptional Talents Schools, 2002–2009, Tabriz, Iran.

Publications Top Notes 📝

  1. S. Zeinali, M. Fleps-Dezasse, J. King, and G. Schildbach, “Design of a utility-based lane change decision making algorithm and a motion planning for energy-efficient highway driving,” Control Engineering Practice, 146, 105881, 2024.

 

  1. X. Zhang, S. Zeinali, and G. Schildbach, “Interaction-aware traffic prediction and scenario-based model predictive control for autonomous vehicles on highways,” European Control Conference (ECC), 2024.

 

  1. X. Zhang, S. Zeinali, and G. Schildbach, “Interaction-aware traffic prediction and scenario-based model predictive control for autonomous vehicles on highways,” Accepted in IEEE Transactions on Control Systems Technology, 2024.

 

  1. S. Zeinali, M. Shahrokhi, and A. Pishro, “Observer-based controller for treatment of hepatitis C infection using fractional order model,” Mathematical Methods in the Applied Sciences, 45(17), 10689-10709, 2022.

 

  1. S. Zeinali and M. Shahrokhi, “Observer-based singularity-free nonlinear controller for uncertain systems subject to input saturation,” European Journal of Control, 52, 49-58, 2020.

 

  1. S. Zeinali, M. Shahrokhi, and A. Ibeas, “Observer-based impulsive controller design for treatment of hepatitis C disease,” Industrial & Engineering Chemistry Research, 59(43), 19370-19382, 2020.

 

  1. S. Zeinali and M. Shahrokhi, “Adaptive control strategy for treatment of hepatitis C infection,” Industrial & Engineering Chemistry Research, 58(33), 15262-15270, 2019.