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Golnaz ShahtahMassebi

Golnaz Shahtahmassebi

Associate Professor

School of Science & Technology

Staff Group(s)
Physics and Mathematics

Role

Dr Golnaz Shahtahmassebi is an Associate Professor in Statistics and Course Leader for MRes Mathematical Sciences.

Professional Registrations and Recognition:

I am also:

  1. Adjunct Professor at University of Walter Sisulu, South Africa
  2. Honorary Fellow at school of Medicine, University of Plymouth
  3. Fellow of the Royal Statistical Society
  4. FHEA, Fellow of Higher Education Academy

Research areas

Areas of research interest include:

  • Dynamic models and their applications in real life
  • Statistical Learning Theory
  • Bayesian inference
  • Computational Statistics
  • Sequential Monte Carlo methods and Particle Filters
  • Statistical Image Processing

Current and Past PhD students:

  • 2024-present     Ravidu Rammuni Silva, Thesis: Leveraging Artificial Intelligence in Education Systems for Adaptive Learning (Co-Supervisor)
  • 2023-present       Rob Lockett, Thesis: Modelling high-frequency vibrations of complex built-up structures using transport theory  (Co-Supervisor)
  • 2022 – Present      Jake Hollis, Thesis: An automated approach for identification, authentication and classification of historical artworks and manuscripts using multimodal imaging techniques. (Director of Studies) in collaboration with British Museum
  • 2020 – Present      Bruna Falgueras Vallbona, Thesis: Scale and Uncertainty in Chemical Analysis (Director of Studies)
  • 2016-2024       Marcin Fiedziukiewicz, Thesis: Stable Isotopic Composition of Anthropogenic Compoundsin Surface Waters (Director of Studies)
  • 2021-present      Chinyere Ifeoma Ajonu, Thesis: Interrogating Molecular Disease Pathways at the population Level Using Machine Learning (Co-Supervisor)
  • 2018-2022        Jack Sutton, Thesis: Allometric and Fluctuation Scaling in Health, Well-Being, and Mortality (Co-Supervisor)
  • 2017-2022 Yu Li, Thesis: Remote laser spectroscopy at standoff distances (Co-Supervisor)
  • 2015-2018 Moulay Chalal Larbi, Thesis: A smart urban energy prediction system to support energy planning in the residential sector (Co-Supervisor)
  • 2014-2017 Mr Bassem Amr (Doctor of Medicine Degree, University of Plymouth), Thesis: Aspects of the Preoperative Pathway In Pancreatic Head Malignancy (Co-Supervisor, statistics supervisor)

Successful Grants (Co-I):

  • 2020-20224D Ionosphere - Swarm+, funding body: European Space Agency4, PI: Dr Alan Wood (PI) (NTU/UB), Dr Golnaz Shahtahmassebi, collaborators: University of Oslo (UiO, Norway), Istituto Nazionale di Geofisica e Vulcanologia (INGV, Italy), GMV Innovating Solutions (GMV-POL, Poland).
  • 2020-2022For DIGILAB: A New Concept In Digital Infrastructure For Heritage Materials, funding body: AHRC,PI: Professor Haida Liang, Dr Golnaz Shahtahmassebi, partners: University of Southern Maine, The Getty, The National Archives, The National Gallery, Yale University
  • 2016-2019KTP-Opus, PI: Professor Haida Lian, Dr Golnaz Shahtahmassebi, funded body: KTP, partners: Opus Å·ÃÀ¾ÞÈé Consultants (UK) Limited

Opportunities arise to carry out postgraduate research towards an MPhil / PhD in the areas identified above. Further information may be obtained on the NTU Research Degrees website /research/research-degrees-at-ntu .

Sponsors and collaborators

Current and recent research has been conducted with the collaboration of:

  • Professor Taufiq  Asyhari  (Monash University, Indonesia)
  • Dr Sabina  Puspita (Monash University, Indonesia)
  • Dr  Teke Apalata  (Walter Sisulu University, South Africa)
  • Dr Mark Altaweel (University College London, UK)
  • Dr Jack Sutton (University of Derby)
  • Dr Quentin Hanley (UK)
  • Dr Thomas Peron (University of Sao Paulo, Brazil)
  • Dr Haroldo V. Ribeiro (Universidade Estadual de Maringa, Brazil)
  • Professor Jose Maria Sarabia (University of Cantabria, Spain)
  • Professor Haida Liang (Å·ÃÀ¾ÞÈé)
  • Mr David Stell (Derriford Hospital, Plymouth)
  • Dr Rana Moyeed (Plymouth University)

Publications

Sutton, Jack, Golnaz Shahtahmassebi, Quentin S. Hanley, and Haroldo V. Ribeiro. "A heteroscedastic Bayesian generalized logistic regression model with application to scaling problems." Chaos, Solitons & Fractals 182 (2024): 114787.