Mohsen Attaran | Manufacturing | Excellence in Research

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Prof.Mohsen Attaran | Manufacturing | Excellence in ResearchĀ 

Dr. Mohsen Attaran is a distinguished Professor of Operations Management with a rich academic background and extensive contributions to the field. His expertise spans operations management, systems science, and digital transformation, highlighted by numerous publications and awards. Dr. Attaran’s research focuses on innovative technologies such as blockchain, digital twins, and additive manufacturing, exploring their applications in healthcare, manufacturing, and beyond. With a career spanning decades at CSU Bakersfield and Portland State University, he has mentored countless students and authored influential books and articles that shape the discourse in operations management and business intelligence.

Profile

  1. Scopus

 

  1. Scholar

šŸŽ“ Education

Ph.D., Systems Science, 1984 Portland State University, Portland, Oregon Major: Operations Management; Minor: Forecasting. M.S., Management Science, 1977 Northrop University, Inglewood, California Area of Study: Production and Operations Management, Decision Analysis, Management Information Systems. B.A., Management, 1975 College of Mass Communication

šŸ† Awards and Honors

February 2006, 2017, 2020 CSUB nominee for Wang Family Excellence Award. May 2017 Recipient of Emeritus Award, School of BPA, CSU, Bakersfield. June 2004 Recipient of Millie Ablin Outstanding Professor Award, School of BPA, CSU, Bakersfield. June 2002 Most Downloaded and Relevant Article ā€“ “Creating the Right Structural Fit for Self-Directed Teams,” Top Journal Article Presented in 2002 by Emerald Literati Network. March 1997, 1998 Recipient of Performance Salary Step Increase, School of BPA, CSU, Bakersfield. May 1996 Recipient of El Paso Natural Gas Foundation Faculty Achievement Award, School of BPA, CSU, Bakersfield. March 1986, 1987, & 1989 Recipient of Meritorious Performance and Professional Promise Award, School of BPA, CSU, Bakersfield

šŸ‘Øā€šŸ« Teaching Experience

September 1994 to Present. Professor of Operations Management, School of Business and Public Admin., CSUB. September 1989 to September 1994 Chair, Department of Management, School of Business and Public Admin., CSUB. September 1988 to September 1989 Professor of Operations Management, School of Business and Public Admin., CSUB. September 1984 to September 1988 Associate Professor of Operations Management, CSUB. September 1982 to August 1984 Instructor, School of Business Administration, Portland State University. September 1980 to August 1982 Research Assistant, Systems Science Ph.D. Program, Portland State University

šŸ“– Book Publications

Attaran, M. and Gunasekaran, A. (2019). Applications of Blockchain Technology in Business: Challenges and Opportunities. Springer; 1st ed. 2019 edition. ISBN-10: 3030277976. Attaran, M. Operations Management Information Systems, John Wiley & Sons, January 1992.. Attaran, M. Management Science Information Systems, John Wiley & Sons, February 1992.. Attaran, M., B. Render and R. Stair, Micro Computer Software for Management Science and Operations Management, Allyn and Bacon, Inc., January 1989.

 

Publications Top Notes šŸ“

    • The Rise of Additive Manufacturing and Advantages over Traditional Manufacturing
      • Publication: Harvard Business Review Case
      • Volume: 12
      • Pages: 1753*
      • Year: 2017
      • This article discusses the rise of additive manufacturing (3D printing) and its advantages compared to traditional manufacturing methods.

 

    • Exploring the relationship between information technology and business process reengineering
      • Journal: Information & Management
      • Volume: 41
      • Issue: 5
      • Pages: 585-596
      • Year: 2004
      • Citations: 664
      • This study explores the impact of information technology on business process reengineering.

 

    • RFID: an enabler of supply chain operations
      • Journal: Supply Chain Management: An International Journal
      • Volume: 12
      • Issue: 4
      • Pages: 249-257
      • Year: 2007
      • Citations: 470
      • This article discusses RFID technology and its role as an enabler in supply chain operations.

 

    • Collaborative supply chain management: the most promising practice for building efficient and sustainable supply chains
      • Journal: Business Process Management Journal
      • Volume: 13
      • Issue: 3
      • Pages: 390-404
      • Year: 2007
      • Citations: 413
      • This study examines collaborative supply chain management practices for enhancing efficiency and sustainability.

 

    • Industrial diversity and economic performance in US areas
      • Journal: The Annals of Regional Science
      • Volume: 20
      • Issue: 2
      • Pages: 44-54
      • Year: 1986
      • Citations: 355
      • This article explores the relationship between industrial diversity and economic performance across different regions in the US.

 

    • The impact of 5G on the evolution of intelligent automation and industry digitization
      • Journal: Journal of Ambient Intelligence and Humanized Computing
      • Volume: 14
      • Issue: 5
      • Pages: 5977-5993
      • Year: 2023
      • Citations: 335
      • This study evaluates the impact of 5G technology on intelligent automation and the digitization of industries.

 

    • Digital technology enablers and their implications for supply chain management
      • Journal: Supply Chain Forum: An International Journal
      • Pages: 1-15
      • Year: 2020
      • Citations: 333
      • This article discusses digital technology enablers and their implications for improving supply chain management practices.

 

    • Blockchain technology in healthcare: Challenges and opportunities
      • Journal: International Journal of Healthcare Management
      • Volume: 15
      • Issue: 1
      • Pages: 70-83
      • Year: 2022
      • Citations: 261
      • This study examines blockchain technology and its potential challenges and opportunities in healthcare.

 

    • The need for digital workplace: Increasing workforce productivity in the information age
      • Journal: International Journal of Enterprise Information Systems (IJEIS)
      • Volume: 15
      • Issue: 1
      • Pages: 1-23
      • Year: 2019
      • Citations: 246
      • This article discusses the importance of digital workplaces in enhancing workforce productivity in the modern era.

 

    • Cloud computing technology: improving small business performance using the Internet
      • Journal: Journal of Small Business & Entrepreneurship
      • Volume: 31
      • Issue: 6
      • Pages: 495-519
      • Year: 2019
      • Citations: 245
      • This study explores how cloud computing technology can enhance performance for small businesses.

 

Chi Ma | Mechanical Design | Best Scholar Award

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Assoc Prof Dr. Chi Ma ā€Œ | Mechanical Design|Best Scholar AwardĀ 

Assoc Prof Dr at Chi Ma Chongqing University China

Dr. Ma Chi, an Associate Professor at Chongqing University, specializes in numerical control equipment. Over the past five years, he has authored or coauthored 40 SCI papers with an average impact factor of 6.7355, earning over 1700 citations. His research, published in top journals like Int. J. Mach. Tools Manuf. and ASME’s J. Manuf. Sci. E-T, has garnered significant academic and industrial acclaim. He holds more than 20 national invention patents, contributing to substantial economic and social benefits. Dr. Ma has led six major research projects and serves on several prestigious editorial and professional committees.

Profile

 

 

šŸ“šEducationĀ 

Ph.D. in Mechanical Engineering, Xi’an Jiaotong University (2012-2017) Advisor: Prof. Xuesong Mei. B.Eng. in Mechanical Design, Manufacture, and Automation, Xi’an Technological University (2008-2012)

āœØ Work Experience

Postdoctoral Fellow / Associate Professor, Chongqing University (2018-Present) Lecturer, Chongqing University (2018-2020) Joint Ph.D. Student, University of California, Berkeley (2016-2017) Advisor: Prof. David B. Bogy

šŸ§‘ā€šŸ”¬Research Interests

High-efficiency and precision processing, Thermal error prediction and compensation in machining equipment, Simulation modeling of machining errors, Topology optimization in cooling systems for machining tools

šŸ… Professional Achievements

Publications: Authored/coauthored 50 SCI papers, average impact factor: 6.7355 Key journals: Int. J. Mach. Tools Manuf., ASME’s J. Manuf. Sci. E-T, J. Manuf. Process., Mech. Syst. Signal Pr. Citations: Over 1700 on SCI. Patents: Holds over 20 national invention patents. Projects: Presided over six major scientific research projects including National Key Research and Development Plan projects Participated in multiple high-profile projects like National Defence Project, National Natural Science Foundation key projects. Awards: First Prize of Chongqing Municipal Scientific and Technological Progress First Prize of Technological Invention of Machinery Industry Silver Prize of the 24th China Patent Award

šŸ“Š Project Undertaking

I have presided over a total of six scientific research projects including the National Key Research and Development Plan projects, the National Natural Science Foundation of China (NSFC) top/youth projects, the Chongqing Natural Science Foundation top projects, the China Postdoctoral Science Foundation, and the Chongqing Municipal Overseas Returned Scholars Support Plan projects, and participated in two major special projects, the National Defence Project, the National Natural Science Foundation key projects, the 04 Scientific and Technological Major Special Projects, and the National Key Research and Development Plan projects, among others, for six projects.

 

Publications Top Notes šŸ“

 

  1. šŸ“„ Li M, Ma C*, Zeng S, et al. Cooling water jacket design of motorized spindle system using multi-objective topology optimization[J]. Applied Thermal Engineering, 2023, 224: 120112.
    šŸ”— https://doi.org/10.1016/j.applthermaleng.2023.120112
  2. šŸ“„ Li M, Zeng S, Hu J, Ma C*. Free-mounted cooling plate multi-objective topology optimization method towards precision machine tool heat dissipation An experimental and numerical study[J]. International Journal of Heat and Mass Transfer, 2023, 241: 124394.
    šŸ”— https://doi.org/10.1016/j.ijheatmasstransfer.2023.124394
  3. šŸ“„ Li M, Ma C*, Liu J, et al. Topology optimization design of cooling water jacket structure for high-speed spindle-bearing system[J]. Journal of Manufacturing Processes, 2023, 102: 1-22.
    šŸ”— https://doi.org/10.1016/j.jmapro.2023.07.034
  4. šŸ“„ Li M, Ma C*, Liu J, et al. Thermal error prediction of precision boring machine tools based on extreme gradient boosting algorithm-improved sailed fish optimizer-bi-directional ordered neurons-long short-term memory neural network model and physical-edge-cloud system[J]. Engineering Applications of Artificial Intelligence, 2024, 127: 107278.
    šŸ”— https://doi.org/10.1016/j.engappai.2023.107278
  5. šŸ“„ Luo F, Ma C*, Liu J, et al. Effect of gas-liquid phase change of axial rotating heat pipe on fluid-thermal-solid behaviors of high-speed spindle[J]. Applied Thermal Engineering, 2023, 232: 121117.
    šŸ”— https://doi.org/10.1016/j.applthermaleng.2023.121117
  6. šŸ“„ Luo F, Ma C*, Liu J, et al. Theoretical and experimental study on rotating heat pipe towards thermal error control of motorized spindle[J]. International Journal of Thermal Sciences, 2023, 185: 108095.
    šŸ”— https://doi.org/10.1016/j.ijthermalsci.2022.108095
  7. šŸ“„ Zeng S, Ma C*, Liu J, et al. Sequence-to-sequence based LSTM network modeling and its application in thermal error control framework[J]. Applied Soft Computing, 2023, 138: 110221.
    šŸ”— https://doi.org/10.1016/j.asoc.2023.110221
  8. šŸ“„ Gui H, Liu J, Ma C*, et al. Industrial-oriented machine learning big data framework for temporal-spatial error prediction and control with DTSMGCN model[J]. Journal of Intelligent Manufacturing, 2023.
    šŸ”— https://doi.org/10.1007/s10845-023-02095-3
  9. šŸ“„ Zhang L, Liu J, Ma C*, et al. Intelligent integrated framework towards high-accuracy machining[J]. Engineering Science and Technology, an International Journal, 2023, 40: 101359.
    šŸ”— https://doi.org/10.1016/j.jestch.2023.101359
  10. šŸ“„ Luo F, Ma C*, Liu J, et al. Thermal error prediction and control method combining residua-based one-dimensional convolution-minimum gate unit model with physical-data-edge-cloud terminal architecture[J]. Neural Computing and Applications, 2023, 41: 103234.