Alexandra Moshou | Quality control | Research Excellence Award

Dr. Alexandra Moshou | Quality control | Research Excellence Award

Civil Engineering | Civil Engineering Department, Polytechnic School, DUTH, Vas. Sofias 12, 67100, Xanthi Greece | Greece

Dr. Alexandra Moshou is a Greece-based seismology researcher whose work combines applied mathematics, seismic waveform analysis, and computational seismology. She received advanced academic training in seismology and applied mathematics from leading Greek universities, building a strong interdisciplinary foundation. Her research focuses on seismic source parameter determination, fault plane characterization, seismic hazard assessment, GNSS–seismology integration, and data-driven modeling of subsurface fault systems using modern computational and machine learning approaches. She has contributed significantly to the scientific understanding of earthquake processes in the Hellenic Arc and adjacent regions and has actively participated in international research collaborations. Her scholarly outputs appear in high-impact geophysics and remote sensing journals and have gained sustained recognition through citations in major academic databases.

Citation Metrics (Google Scholar)

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Citations
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Documents
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h-index
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Featured Publications

The July 20, 2017 Mw 6.6 Kos Earthquake: Seismic and Geodetic Evidence for an Active North-Dipping Normal Fault
– Pure and Applied Geophysics, 2019 (Cited by 63)

The Cephalonia Earthquake Sequence of January–February 2014: A First Report
– Research in Geophysics, 2014 (Cited by 45)

The 25 October 2018 Mw 6.7 Zakynthos Earthquake: GNSS-Based Low-Angle Fault Modeling
– Journal of Geodynamics, 2020 (Cited by 43)

Coseismic Displacements from Moderate Earthquakes Mapped by Sentinel-1 DInSAR
– Remote Sensing, 2018 (Cited by 38)

Monthly Migration of a Tectonic Seismic Swarm Detected by DInSAR
– Geophysical Journal International, 2013 (Cited by 32)

Muhammad Usman Aslam | Statistical Quality Control| Best Researcher Award

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