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

šŸŽ“ EducationĀ 

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.

šŸ’¼ 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.

šŸ† 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.

šŸ”¬ 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 Villaā€™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.

šŸ“šPublicationsĀ 

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

 

  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 QuiƩdeville; 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; ClĆ©mentine Antier; Philippe V. Baret; Walter Rossing; M’hand Fares; LoĆÆc Viguier; Antoine MessĆ©an

 

  1. Title: Procesos de Aprendizaje y ModernizaciĆ³n Productiva en el Agro del Noroeste de MĆ©xico: Los Casos de la Agricultura Comercial de la Costa de Hermosillo, Sonora y la Agricultura OrgĆ”nica 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,Ā  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

šŸŽ“ EducationĀ 

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.

šŸ’¼ Experience

Pardis has extensive teaching experience across several universities, including Allameh Tabatabaā€™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.

šŸ† 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.

šŸ”¬ Research Focus

Pardisā€™ 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.

šŸ“šPublicationsĀ 

  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

 

Li Xia | Plant biotechnology |Best Researcher Award

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Prof. ā€ŒLi Xia |Plant biotechnology | Best Researcher Award

Prof at Qingdao University of Science and Technology China

Li Xia is a distinguished professor at the College of Chemical Engineering, Qingdao University of Science and Technology. With a PhD in Chemical Engineering, his research expertise spans process system engineering, chemical thermodynamics, dynamic simulation, process optimization, and energy-saving technologies. He has contributed extensively to the fields of chemical process simulation and intelligent chemical industry through numerous high-impact publications and patents. Li Xia has led and collaborated on several national research projects, focusing on innovative energy-saving strategies and the development of new chemical processes. His work has significantly advanced the application of thermodynamic models and optimization techniques in industrial processes.

Profile

 

šŸ“šEducation

PhD in Chemical Engineering Qingdao University of Science and Technology, China [2010-2016]

Ā šŸ¢ Professional Appointments

  • Professor College of Chemical Engineering, Qingdao University of Science and Technology [2006-present]

Research Projects šŸ“

Project Title: Research on energy saving strategies and methods for chemical processes based on fire accumulation Duration: January 2015 – December 2017 Funding Source: National Natural Science Foundation of China Grant Number: 21406124 Role: Project Leader Outcome: Concluded Project Title: Intelligent method and application research of low-temperature waste heat extraction and utilization Duration: January 2022 – December 2025 Funding Source: National Natural Science Foundation of China Grant Number: 22178190 Role: Second completer Status: Amidst Research Project Title: A new method and its application research for vapor-liquid equilibrium prediction based on elements and chemical bonds Duration: January 2012 – December 2015 Funding Source: National Natural Science Foundation of China Grant Number: 21176127 Role: Third completer Outcome: Concluded

Publications Top Notes šŸ“

  1. Benzoic Acid Catalyzed Production of Xylose and Xylooligosaccharides from Poplar
    • Authors: Li, L., Wan, Q., Lu, Y., Xu, J., Gou, J.
    • Journal: Industrial Crops and Products
    • Year: 2024
    • Volume: 213
    • Pages: 118460
    • Abstract: This study explores the catalytic production of xylose and xylooligosaccharides from poplar using benzoic acid, focusing on optimizing yield and process efficiency.

 

  1. A Matrix Completion Method for Imputing Missing Values of Process Data
    • Authors: Zhang, X., Sun, X., Xia, L., Tao, S., Xiang, S.
    • Journal: Processes
    • Year: 2024
    • Volume: 12
    • Issue: 4
    • Pages: 659
    • Abstract: This open-access article presents a matrix completion method aimed at imputing missing values in process data, potentially improving data integrity and analysis in various industrial applications.

 

  1. Design Method of Extractant for Liquidā€“Liquid Extraction Based on Elements and Chemical Bonds
    • Authors: Wei, Y., Zhang, C., Zhang, Y., Sun, X., Xiang, S.
    • Journal: Chinese Journal of Chemical Engineering
    • Year: 2024
    • Volume: 68
    • Pages: 193ā€“202
    • Abstract: The study proposes a novel design method for extractants used in liquid-liquid extraction, focusing on the role of elements and chemical bonds to enhance extraction efficiency.

 

  1. A Projected Newton Algorithm Based on Chemically Allowed Interval for Chemical Equilibrium Computations
    • Authors: Lu, H., Tao, S., Sun, X., Xia, L., Xiang, S.
    • Journal: Frontiers of Chemical Science and Engineering
    • Year: 2024
    • Volume: 18
    • Issue: 3
    • Pages: 27
    • Abstract: This article introduces a projected Newton algorithm designed to improve chemical equilibrium computations by using chemically allowed intervals, aiming to enhance accuracy and computational efficiency.

 

  1. Enhancing Working Fluid Selection for Novel Cogeneration Systems by Integrating Predictive Modeling: From Molecular Simulation to Process Evaluation
    • Authors: Wang, L., Zong, F., Liu, Z., Sun, X., Xiang, S.
    • Journal: Process Safety and Environmental Protection
    • Year: 2024
    • Volume: 183
    • Pages: 587ā€“601
    • Abstract: This research focuses on the selection of working fluids for cogeneration systems, integrating predictive modeling from molecular simulation to process evaluation to optimize performance and safety.

 

  1. Development of Special Process Simulation System for Sulfuric Acid Alkylation Process
    • Authors: Zhao, T., Xia, L., Sun, X., Chen, Y., Xiang, S.
    • Journal: Gao Xiao Hua Xue Gong Cheng Xue Bao/Journal of Chemical Engineering of Chinese Universities
    • Year: 2024
    • Volume: 38
    • Issue: 1
    • Pages: 121ā€“127
    • Abstract: This study details the development of a specialized process simulation system for the sulfuric acid alkylation process, aiming to improve efficiency and reliability in industrial applications.

 

 

Ramesh Kumar | Operations and Supply Chain Management

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Ramesh Kumar :Leading Researcher in Operations and Supply Chain Management

šŸ‘Øā€šŸ«Ā  Ramesh Kumar , anĀ  Prof at Indian Institute of Management Mumbai,Ā  India. stands as a distinguished academic and researcher in the Ā Management and Accounting. Holding Doctoral Fellow (PhD) Operations and Supply Chain Management 2017- 2022 Indian Institute of Management Mumbai, India. šŸŒŸRamesh Kumar is an accomplished Assistant Professor specializing in Operations and Supply Chain Management at the Indian Institute of Management Mumbai, India. With a background in Mechanical Engineering and a profound interest in industrial engineering, Kumar has dedicated his career to academia, research, and practical implementations within the realm of supply chain networks, optimization, simulation modeling, and risk management.

šŸŒ Professional Profiles:

šŸŽ“ Education:

Kumar holds a Doctoral Fellowship (PhD) in Operations and Supply Chain Management from the Indian Institute of Management Mumbai, showcasing an outstanding CGPA of 9.5/10. His academic journey commenced with a Master’s in Industrial & Management Engineering from the National Institute of Technology Jamshedpur, followed by a Bachelor’s in Mechanical Engineering from Chhattisgarh Swami Vivekanand Technical University.

šŸ” Research Focus:

With a keen eye on innovation, Kumar’s research spans diverse domains such as supply chain network design, discrete event simulation modeling, optimization methodologies including mixed-integer linear programming, and supply chain risk management. His contributions extend to academia and industry, evident through several publications, conferences, workshops, and seminars.

šŸ¢ Professional Experience:

Kumar’s professional journey includes roles at the Indian Institute of Management Mumbai as an Assistant Professor and previously as a Graduate Technical Intern at Intel Corporation in Bangalore. He has held research positions at esteemed institutions like the Indian Institute of Management Ahmedabad and Alamuri Ratnamala Institute of Engineering and Technology, Mumbai.

šŸ“š Teaching & Academic Contributions:

Demonstrating a commitment to education, Kumar has excelled as an instructor in various subjects, conducting tutorials and workshops at the Indian Institute of Management Mumbai and other educational institutions. His teaching portfolio spans subjects like Supply Chain Management, Optimization, Transportation & Logistics, and Simulation Modeling & Analysis.

šŸ“° Publications & Research Work:

Kumar’s research contributions are exemplified through publications in reputable journals like the International Journal of Production Research and IFAC-PapersOnLine. He has presented extensively at national and international conferences, addressing critical topics such as supply chain disruptions, food grain supply chains, and the impact of COVID-19 on logistics systems.

šŸ› ļø Technical Proficiency:

Equipped with a robust technical skill set encompassing programming languages, simulation software, optimization tools, database management, and data visualization, Kumar leverages his expertise to drive insightful research outcomes and practical solutions.

šŸ† Achievements & Affiliations:

His academic achievements include being a recipient of the top-cited article award, securing ranks, and receiving financial assistance during his educational pursuits. Kumar is an active member of esteemed professional bodies such as INFORMS, POMS, IISE, among others.

šŸŽ¤ Invited Talks & Professional Engagements:

He has been an invited speaker at conferences, workshops, and seminars, sharing expertise on supply chain optimization, digitalization, and the impact of disruptions on food supply chains. Kumar actively engages as a reviewer for prominent journals in his field.

šŸ‘Øā€šŸ’¼ Recommendations:

Highly regarded by his peers and mentors, Kumar comes highly recommended by Prof. Manoj Kumar Tiwari, Director at Indian Institute of Management Mumbai, and Prof. L Ganapathy, Area Chair of Operations and Supply Chain Management.

Ramesh Kumar’s commitment to academia, impactful research contributions, and proficiency in supply chain management solidify his standing as a distinguished academician and a valuable contributor to the field.

Top Noted Publication:

Impact of COVID-19 on logistics systems and disruptions in food supply chain Published on 2021/4/3 Cited by 842

Quantitative approaches for the integration of production and distribution planning in the supply chain: a systematic literature reviewĀ  Published on 2020/6/2 Cited by 63

Scaling up the Digitalization of the Public Distribution System: A COVID-19 Pandemic Impetus Published on 2022/1/1 Cited by 2

Managing COVID-19 Food Supply Chain Disruptions in India: A Case Study of Public Distribution System (preprint) Published on 2022

Managing COVID-19 Food Supply Chain Disruptions in India: A Case Study of Public Distribution System