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

 

Souhail Dhouib | Optimization | Best Researcher Award

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Prof. Souhail Dhouib | Optimization | Best Researcher Award

Dr at Souhail Dhouib Higher Institute of Industrial Management of Sfax, University of Sfax, Tunisia

Teaching Experience: Over 20 years of teaching at universities in Tunisia (Sfax and Gafsa) and Saudi Arabia (Al Faisal and Al Baha).. Scientific Research Specialist: Expertise in decision making and planning, focusing on Artificial Intelligence, Operations Research, Optimization Algorithms, Logistics, Supply Chain Management, Quality, Business Intelligence Systems, and Enterprise Resource Planning (ERP). Management Experience: Practical experience as a General Manager, managing companies and consulting for business organizations and industries. Industrial Experience: Over 20 years of experience in designing and developing business management software across various sectors including Manufacturing, Electronics, and Clothing. Entrepreneurship: Founder of two companies specializing in business software development. Technical Expertise: Proficient in 4D Development Packages (4D language, 4D database, 4D SQL desktop), MS-Project Software, SPSS Software, MATLAB, R Project for statistical computing, Python, Java, and C programming languages.🌟

profile:

 

Scopus

Orcid

 

🎓 Education

Ph.D. in Quantitative Methods Faculty of Management and Economics Sciences, Sfax University, Tunisia (2004-2009). Master’s in Operations Research and Production Management. Faculty of Management and Economics Sciences, Sfax University, Tunisia (2001-2003). Bachelor’s in Management Information Systems. Faculty of Management and Economics Sciences, Sfax University, Tunisia (1992-1996)

🏢 Industry Experience

General Manager (2001-2006), Analyst Programmer in Computer Science using 4D Platform (1999-2012), Professional Systems Implementation (1999-2012), Analyst Programmer in Management Information Systems (1996-1998)

🎓 Academic Experience

Full Professor (Since 2017), Associate Professor (2013-2017), Assistant Professor (2009-2013), Expert/Assistant (2003-2009), Teacher (1998-2001)

Publication:📝

    • Title: Intelligent path planning for cognitive mobile robot based on Dhouib-Matrix-SPP method
      Journal: Cognitive Robotics
      Year: 2024
      DOI: 10.1016/j.cogr.2024.02.001
      Contributor: Souhail Dhouib
    • Title: Tool Path Length Optimization in Drilling Operations: A Comparative Study
      Book:
      Year: 2024
      DOI: 10.1007/978-3-031-38241-3_33
      Contributors: Alaeddine Zouari, Dhouib Souhail, Fatma Lehyani, José Carlos Sá
    • Title: Original optimal method to solve the all-pairs shortest path problem: Dhouib-matrix-ALL-SPP
      Journal: Data Science and Management
      Year: September 2024
      DOI: 10.1016/j.dsm.2024.01.005
      Contributor: Souhail Dhouib
    • Title: Decision support system using Dhouib-Matrix-TP1 heuristic for pentagonal fuzzy transportation problem
      Journal: Indonesian Journal of Electrical Engineering and Computer Science
      Year: July 1, 2024
      DOI: 10.11591/ijeecs.v35.i1.pp642-654
      Contributors: Souhail Dhouib, Aïda Kharrat, Saima Dhouib, Tole Sutikno
    • Title: Enhancing the Dhouib-Matrix-4 metaheuristic to generate the Pareto non-dominated set solutions for multi-objective travelling salesman problem: The DM4-PMO method
      Journal: Results in Control and Optimization
      Year: March 2024
      DOI: 10.1016/j.rico.2024.100402
      Contributors: Souhail Dhouib, Aïda Kharrat, Taicir Loukil, Habib Chabchoub
    • Title: Innovative method to solve the minimum spanning tree problem: The Dhouib-Matrix-MSTP (DM-MSTP)
      Journal: Results in Control and Optimization
      Year: March 2024
      DOI: 10.1016/j.rico.2023.100359
      Contributor: Souhail Dhouib

Li Xia | Plant biotechnology |Best Researcher Award

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Prof. ‌Li 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

 

📚Education

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

 🏢 Professional Appointments

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

Research Projects 📝

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 📝

  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 Liquid–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: 193–202
    • 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: 587–601
    • 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: 121–127
    • 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

👨‍🏫  Ramesh Kumar , an  Prof at Indian Institute of Management Mumbai,  India. stands as a distinguished academic and researcher in the  Management and Accounting. Holding Doctoral Fellow (PhD) Operations and Supply Chain Management 2017- 2022 Indian Institute of Management Mumbai, India. 🌟Ramesh 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.

🌐 Professional Profiles:

🎓 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.

🔍 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.

🏢 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.

📚 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.

📰 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.

🛠️ 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.

🏆 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.

🎤 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.

👨‍💼 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 review  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