Sergio Sousa| Quality Control | Best Researcher Award

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Prof . Sergio Sousa| Quality control | Best Researcher Award

Prof. Sergio Sousa,University of Minho, Portugal

Professor Sergio Sousa is a distinguished academic at the University of Minho in Portugal. With a strong background in industrial engineering and management, he has made significant contributions to research and education in his field. Prof. Sousa specializes in operations management, production systems, and lean manufacturing, focusing on improving efficiency and innovation in industrial processes

Summary:

Prof. Sergio Sousa is a strong candidate for the Best Researcher Award, given his extensive background in quality management, his consistent academic contributions, and the multiple awards recognizing his research excellence. His work in performance measurement systems and Total Quality Management is particularly noteworthy, and his role as a mentor and active participant in the research community further enhances his suitability for the award.

Professional Profiles:

Scopus

🎓 Education :

Sérgio Sousa holds a Ph.D. in Manufacturing and Mechanical Engineering, with a focus on “Quality Improvement Measures in SMEs,” from the University of Birmingham, UK (2001-2005). He also earned a Master of Science degree in Electrical and Computer Engineering, majoring in Systems, from the University of Porto, Portugal (1996-1999). His foundational education includes a D. Eng. degree (equivalent to a pre-Bologna 5-year Licenciatura) in Electrical and Computer Engineering, specializing in Informatics and Systems, also from the University of Porto (1991-1996).

🏢 Experience:

Currently, Sérgio Sousa serves as an Assistant Professor with Tenure in the Systems Engineering and Industrial Processes disciplinary area at the Production and Systems Department (DPS), School of Engineering, University of Minho, Portugal. He has been in this role since 2010. He is also a Research Member of the Algoritmi Research Centre, contributing to the Industrial Engineering and Management (IEM) group since 2014. His responsibilities extend to being a member of the Council of the DPS at the School of Engineering, University of Minho. In his academic career, he has supervised numerous Ph.D. and MSc students, coordinated and participated in over 50 projects in the quality engineering domain, and held various administrative roles, including serving on the Executive Steering Committee of the DPS and the Pedagogic Council of the School of Engineering.

🛠️Skills:

Sérgio Sousa possesses a robust skill set in Total Quality Management (TQM) and Performance Measurement Systems. His expertise extends to Lean Six Sigma, Quality Engineering, and Management, with a particular emphasis on applying these methodologies to SMEs. His academic and professional experience has equipped him with advanced skills in research, quality assessment, accreditation in higher education, and the ability to lead and manage large-scale projects in collaboration with international teams. Additionally, he is proficient in supervising research and coordinating academic programs, such as the Master’s course in Quality Engineering and Management at the University of Minho.

🔬Awards:

Throughout his career, Sérgio Sousa has garnered numerous prestigious awards, reflecting his significant contributions to the field. Notable recognitions include the Best Paper Award at the 49th International Conference on Computers & Industrial Engineering in Beijing, China (2019), and the Outstanding Paper Award in the 2016 Emerald Literati Network Awards for Excellence. He has also received multiple Certificates of Merit from the International Association of Engineers (IAENG) for his contributions to various international conferences. His accolades underscore his standing as a leading expert in quality management and performance measurement systems.

Research Focus:

Sérgio Sousa’s research primarily revolves around Total Quality Management (TQM) and Performance Measurement Systems, with a particular focus on their application in SMEs. His work aims to enhance quality control strategies, optimize performance measurement under uncertainty, and prioritize quality problems in small and medium-sized enterprises. His research has led to over 80 indexed publications in peer-reviewed journals and international conferences, contributing significantly to the academic and practical advancements in TQM. His work has been widely cited, with over 1500 Google Scholar citations and more than 550 Scopus citations, underscoring the impact and relevance of his research in the field.

Conclusion:

Prof. Sousa’s significant contributions to quality engineering and industrial management, coupled with his strong academic and research background, make him a deserving candidate for the Best Researcher Award. His ability to bridge theoretical research with practical applications in SMEs is a standout feature of his work. To further strengthen his candidacy, a broader research focus and enhanced interdisciplinary collaborations could be considered. Overall, Prof. Sousa exemplifies the qualities of an outstanding researcher, making him a strong contender for the award.

Publications :

  • Publication: Performance measures in English small and medium enterprises: survey results
    Authors: SD Sousa, EM Aspinwall, A Guimarães Rodrigues
    Source: Benchmarking: an international journal
    Year: 2006

 

  • Publication: Performance measures and quality tools in Portuguese small and medium enterprises: survey results
    Authors: SD Sousa, E Aspinwall, PA Sampaio, AG Rodrigues
    Source: Total Quality Management and Business Excellence
    Year: 2005

 

  • Publication: Development of a performance measurement framework for SMEs
    Authors: S Sousa, E Aspinwall
    Source: Total Quality Management
    Year: 2010

 

  • Publication: Application of lean production principles and tools for quality improvement of production processes in a carton company
    Authors: C Roriz, E Nunes, S Sousa
    Source: Procedia Manufacturing
    Year: 2017

 

  • Publication: The 8D methodology: an effective way to reduce recurrence of customer complaints
    Authors: CA Riesenberger, SD Sousa
    Source: Proceedings of the World Congress on Engineering
    Year: 2010

 

  • Publication: Developing dashboards for SMEs to improve performance of productive equipment and processes
    Authors: S Vilarinho, I Lopes, S Sousa
    Source: Journal of Industrial Information Integration
    Year: 2018

 

  • Publication: Application of SPC and quality tools for process improvement
    Authors: S Sousa, N Rodrigues, E Nunes
    Source: Procedia Manufacturing
    Year: 2017

 

  • Publication: Design procedure to develop dashboards aimed at improving the performance of productive equipment and processes
    Authors: S Vilarinho, I Lopes, S Sousa
    Source: Procedia Manufacturing
    Year: 2017

 

  • Publication: Prioritizing quality problems in SMEs: A methodology
    Authors: HN Teixeira, I Lopes, S Sousa
    Source: The TQM Journal
    Year: 2015

 

  • Publication: Using project six sigma and lean concepts in internal logistics
    Authors: DSL Antunes, S Sousa, EP Nunes
    Source: Newswood Limited Publisher
    Year: 2013

 

  • Publication: The impact of ISO 9001: 2015 on ISO 22000 and food safety management systems (FSMS)
    Authors: MM Silva, LM Fonseca, SD Sousa
    Source: Calitatea
    Year: 2016

 

  • Publication: Measuring and managing operational risk in industrial processes
    Authors: S Sousa, E Nunes, I Lopes
    Source: FME Transactions
    Year: 2015

 

Muhammad Usman Aslam | Statistical Quality Control| Best Researcher Award

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Mr. Muhammad Usman Aslam | Xi’an Jiaotong University| Best Researcher Award

Mr, Muhammad Usman Aslam,Xi’an Jiaotong University, Pakistan

Mr. Muhammad Usman Aslam is currently pursuing his studies at Xi’an Jiaotong University, representing Pakistan. His academic pursuits focus on [insert specific field or program if known]. With a passion for [mention any specific interests or research areas], Mr. Aslam is dedicated to contributing to his field through academic excellence and research endeavors.

Professional Profiles:

Google scholar

Education :

  • hD (Statistics): Xi’an Jiaotong University (XJTU), China (Ongoing, started in 2021)
  • MS (Statistics): COMSATS Institute of Information Technology, Lahore (2019)
  • BS Hons. (Statistics): Government College University Faisalabad (GCUF), Silver Medalist (2013)

 Experience:

  • Lecturer/Research Assistant: Punjab College, Mian Channu (April 2018 – Present)
  • Lecturer: Punjab College, Mian Channu (Jan 2017 – Sept 2017)
  • Lecturer: Superior College, Arifwala (Oct 2015 – Dec 2016)

Research Interests:

  • Revisiting Process Capability Indices (PCIs) for Univariate Variable Control Charts incorporating Fuzziness.
  • Statistical Analysis of Risk Factors for Cardiovascular Disease.
  • Environmental issues and public response in Faisalabad.

Skills:

  • Data Analysis: R Programming, Python, SPSS, Minitab, EViews.
  • Business Intelligence Tools: Power BI.
  • Microsoft Office: Word, Excel, PowerPoint, Access.
  • Language Proficiency: IELTS (6 Band each module, Good proficiency).

Publications :

  • Redescending M-estimator approach for outlier-resilient modeling
    • Authors: A Raza, M Noor-ul-Amin, A Ayari-Akkari, M Nabi, M Usman Aslam
    • Published in: Scientific Reports, 2024
  • Process dispersion monitoring: Innovative AEWMA control chart in semiconductor manufacturing
    • Authors: I Khan, M Noor-ul-Amin, MU Aslam, AM Mostafa, B Ahmad
    • Published in: AIP Advances, 2024
  • Fuzzy Control Charts for Individual Observations to Analyze Variability in Health Monitoring Processes
    • Authors: MU Aslam, S Xu, M Noor-ul-Amin, S Hussain, M Waqas
    • Published in: Applied Soft Computing, 2024
  • Global contribution of statistical control charts to epidemiology monitoring: A 23-year analysis with optimized EWMA real-life application on COVID-19
    • Authors: M Waqas, SH Xu, MU Aslam, S Hussain, K Shahzad, G Masengo
    • Published in: Medicine, 2024
  • Designing an efficient adaptive EWMA model for normal process with engineering applications
    • Authors: Z Rasheed, M Khan, SM Anwar, MU Aslam, SA Lone, SA Almutlak
    • Published in: Ain Shams Engineering Journal, 2024
  • Joint monitoring of mean and variance using Max-EWMA control chart under lognormal process with application to engine oil data
    • Authors: FA Almulhim, S Malik, M Hanif, AA Hassaballa, M Nabi, M Usman Aslam
    • Published in: Scientific Reports, 2024
  • Optimal Prognostic Accuracy: Machine Learning Approaches for COVID-19 Prognosis with Biomarkers and Demographic Information
    • Authors: S Hussain, X Songhua, MU Aslam, F Hussain, I Ali
    • Published in: New Generation Computing, 2024
  • EXPRESS: Clinical Predictions of COVID-19 Patients Using Deep Stacking Neural Network
    • Authors: S Hussain, X Songhua, MU Aslam, F Hussain
    • Published in: Journal of Investigative Medicine, 2024