Li Xia | Plant biotechnology |Best Researcher Award

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

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