People

Dr Zainab Altai

Research Fellow
School of Sport, Rehabilitation and Exercise Sciences
Dr Zainab Altai
  • Email

  • Telephone

    +44 (0) 1206 876217

  • Location

    ESA.3.32, Colchester Campus

  • Academic support hours

    122

Profile

Biography

My work primarily focuses on the development and application of computational models to investigate the musculoskeletal system of human body. My research interests lie in motion capture analysis, musculoskeletal modelling, finite element modelling, wearable sensors, and machine learning. I have a keen interest in developing multiscale models to explore joint loadings during various physical activates, including normal daily activates and low-bearing exercises. Additionally, I have expertise in generating subject-specific CT-based finite element models to investigate long bones response to various loading conditions at two different age groups (very young children and adults). Through my research, I strive to advance our understanding of human movement and contribute to the development of effective rehabilitation strategies. Research Interests: Orthopaedic biomechanics, Gait Biomechanics, Musculoskeletal diseases (e.g. osteoporosis), Biomechanics of paediatric bone (application of child abuse), Multiscale modelling of the musculoskeletal system, and Machine learning with a focus on biomechanical applications.

Qualifications

  • PhD (Biomechanics) University of Sheffield, (2018)

  • MSc (Applied Mechanics) Al-Mustansiriyah University, (2011)

  • BSc (Mechanical Engineering) Al-Mustansiriyah University, (2007)

Appointments

University of Essex

  • Research fellow, School of Sport, Rehabilitation and Exercise Sciences, Institute of Public Health and Wellbeing, University of Essex (31/8/2023 - present)

  • Senior research officer, Sport Rehabilitation and Exercise Sciences, University of Essex (30/8/2021 - 30/8/2023)

Other academic

  • Research Associate, Mechanical Engineering Department, Insigneo Institute for in silico Medicine, University of Sheffield (19/10/2018 - 30/4/2021)

  • Research Assistant, Mechanical Engineering Department, Insigneo Institute for in silico Medicine, University of Sheffield (1/3/2018 - 18/10/2018)

Teaching and supervision

Current teaching responsibilities

  • Biomechanics (SE102)

  • Sports Analytics (SE323)

  • Biomechanics of Locomotion (SE732)

  • Neuromechanical basis of strength and conditioning (SE788)

Publications

Journal articles (9)

Liew, BXW., Rügamer, D., Mei, Q., Altai, Z., Zhu, X., Zhai, X. and Cortes, N., (2023). Smooth and accurate predictions of joint contact force time-series in gait using over parameterised deep neural networks. Frontiers in Bioengineering and Biotechnology. 11, 1208711-

Altai, Z., Boukhennoufa, I., Zhai, X., Phillips, A., Moran, J. and Liew, BXW., (2023). Performance of multiple neural networks in predicting lower limb joint moments using wearable sensors. Frontiers in Bioengineering and Biotechnology. 11, 1215770-

Boukhennoufa, I., Altai, Z., Zhai, X., Utti, V., McDonald-Maier, KD. and Liew, B., (2022). Predicting the Internal Knee Abduction Impulse During Walking Using Deep Learning. Frontiers in Bioengineering and Biotechnology. 10, 877347-

Altai, Z., Montefiori, E., van Veen, B., A. Paggiosi, M., McCloskey, EV., Viceconti, M., Mazzà, C. and Li, X., (2021). Femoral neck strain prediction during level walking using a combined musculoskeletal and finite element model approach. PLOS ONE. 16 (2), e0245121-e0245121

Altai, Z., Viceconti, M., Li, X. and Offiah, AC., (2020). Investigating rolling as mechanism for humeral fractures in non-ambulant infants: a preliminary finite element study. Clinical Radiology. 75 (1), 78.e9-78.e16

Altai, Z., Qasim, M., Li, X. and Viceconti, M., (2019). The effect of boundary and loading conditions on patient classification using finite element predicted risk of fracture. Clinical Biomechanics. 68, 137-143

Bhattacharya, P., Altai, Z., Qasim, M. and Viceconti, M., (2019). A multiscale model to predict current absolute risk of femoral fracture in a postmenopausal population. Biomechanics and Modeling in Mechanobiology. 18 (2), 301-318

Castro, APG., Altai, Z., Offiah, AC., Shelmerdine, SC., Arthurs, OJ., Li, X. and Lacroix, D., (2019). Finite element modelling of the developing infant femur using paired CT and MRI scans. PLOS ONE. 14 (6), e0218268-e0218268

Altai, Z., Viceconti, M., Offiah, AC. and Li, X., (2018). Investigating the mechanical response of paediatric bone under bending and torsion using finite element analysis. Biomechanics and Modeling in Mechanobiology. 17 (4), 1001-1009

Book chapters (1)

Altai, Z., Montefiori, E. and Li, X., (2023). High Performance Computing for Drug Discovery and Biomedicine. In: High Performance Computing for Drug Discovery and Biomedicine. Editors: Heifetz, A., . Humana. 1071634488. 9781071634486

Contact

z.altai@essex.ac.uk
+44 (0) 1206 876217

Location:

ESA.3.32, Colchester Campus

Academic support hours:

122