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