Dr Mohammed Baragilly PhD

Dr Mohammed Baragilly

Institute of Applied Health Research
Research Fellow

Contact details

Address
Primary Care Clinical Sciences
Institute of Applied Health Research
Murray Learning Centre
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Mohammed Baragilly is a Research Fellow in medical statistics based in the Institute of Applied Health Research, University of Birmingham.

He was awarded the degree of Doctor of Philosophy in Statistics in 2016 from School of Mathematics, University of Birmingham. His PhD thesis is on clustering multivariate and functional data using some non-parametric methods.

Mohammed has worked, over the PhD years, as a Teaching Assistant at School of Mathematics, and Statistical Consultant and tutor at the Mathematics Support Centre, Academic Skills Centre in University of Birmingham. His duties included giving face-to face statistical support and advice to undergraduates, postgraduates, and researchers who need help in Statistics and Mathematics, which significantly improved his academic knowledge and skills during this time

Mohammed has a keen interest in different research topics in Statistics. He is currently interested in proposing new constrained models in order to develop the diagnostic tests accuracy. Moreover, he continues to develop different multivariate nonparametric statistical methods with applications in clustering analysis.

Research Gate:

Qualifications

  1. PhD in Statistics, School of Mathematics, University of Birmingham, 2016.
  2. M.Res. in Statistics, School of Mathematics, University of Birmingham, 2013.
  3. M.Sc. in Statistics, Department of Mathematics and Applied Statistics, Helwan University, 2009.
  4. B.Sc. in Applied Statistics, Department of Mathematics and Applied Statistics, Helwan University, 2004.

Biography

Mohammed began a degree in Statistics at Helwan University in September 2000. After graduating with a BSc, he received his Master of Statistics in 2009 from the Department of Mathematics and Applied Statistics Helwan University, while he was working as Assistant Lecturer in the department, and his main research interest at this time was in the maximum product of spacings (MPS) estimation, and the truncated exponential distributions.

In 2012 Mohammed moved to the School of Mathematics in University of Birmingham, where he obtained the MRes in Statistics in 2014, and then he was awarded the PhD in Statistics from School of Mathematics, University of Birmingham in 2016

During his postgraduate studies in Birmingham Mohammed proposed new methods and algorithms based on different nonparametric rank functions for clustering both multivariate and functional data and he has presented his work in different leading international conferences, which was well appreciated among the peers. Over the PhD years, he has worked as Teaching Assistant at School of Mathematics, and Statistical Consultant at the Mathematics Support Centre, Academic Skills Centre, University of Birmingham.

Following his PhD completion, he joined the Institute of Applied Health Research at the University of Birmingham in 2016 to start work as a Research Fellow in Medical Statistics in the Department of Primary Care Clinical Sciences.

Teaching

Previous Teaching:

(1) School of Mathematics, University of Birmingham (2012 – 2016):

  • Applied Statistics
  • Discrete Mathematics
  • Introductory Mathematics
  • Further Mathematics
  • Discrete Mathematics and Statistics
  • Probability and Statistics
  • Statistics 2
  • Statistical Methods in Economics

(2) Department of Mathematics and Applied Statistics, Helwan University (2004-2012):

  • Applied Statistics 
  • Statistics 1
  • Introductory Mathematics
  • Financial and Investment Mathematics
  • Mathematical Statistics (1&2)
  • Mathematics for Business Information Systems
  • Operations Research
  • Insurance and its Applications
  • Statistical Laboratory (SPSS, Tora and Maple)

Research

  1. Constrained models for diagnostic test accuracy
  2. Tailored meta-analysis
  3. Multivariate nonparametric statistical methods
  4. Clustering analysis for the multivariate data
  5. Functional data clustering

Other activities

Conference (contributed & invited) Presentations:

  1. “Determining the number of clusters using multivariate ranks” in the International Conference on Robust Statistics (ICORS 2015 that has been held at the Indian Statistical Institute, Kolkata, India during January 12 - 16, 2015).
  2. “Clustering Multivariate Data Using Central Rank Regions” in the Multivariate Analysis Today: Topical Expository Reviews (MATTER 2015 that has been held at Faculty of Mathematics, Computing and Technology, Department of Mathematics and Statistics, The Open University, UK 20 May 2015).
  3. “Clustering Multivariate Data Using Weighted Spatial Ranks” in the International Conference (DAGStat 2016: Fourth Joint Statistical Meeting of the Deutsche Arbeitsgemeinschaft Statistik "Statistics under one Umbrella" at Gorge-August University,Göttingen, Germany).
  4. “Probabilistic Mortality Rate Function for Older Population” in the poster session of The Euro-American Conference for Academic Disciplines 2015 – Paris, France (by The International Journal of Arts and Sciences IJAS).

  5. “Measuring poverty among the aged” in the poster session of The Euro-American Conference for Academic Disciplines 2015 – Paris, France (by The International Journal of Arts and Sciences IJAS).

Publications

Baragilly, M. and Chakraborty, B. Clustering multivariate data using weighted spatial ranks. In preparation.

Baragilly, M. and Chakraborty, B. Functional data clustering based on spatial ranks. In preparation.

Baragilly, M. and Chakraborty, B. (2016). Determining the number of clusters using multivariate ranks. In: Agostinelli, C., Basu, A., Filzmoser, P., Mukherjee, D. (Eds.), Recent Advances in Robust Statistics: Theory and Applications. Springer, Chapter 2, pp. 17 - 33.

Baragilly, M. (2010). The exponential distribution statistical models and their applications in demography. Journal of Business Studies (J.B.S), N.(2), Page 201-210.

Baragilly, M., Hassan, I. & Kamel, N. (2008). On maximum product of spacings (MPS) estimation for the right truncated exponential distribution. In: proceedings of the 22nd Annual International Conference in Topology and its Applications, Helwan University, pp. 116-125.

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