Dr Lama Hamadeh is a lecturer in the Physics and Mathematics department, currently teaching the following undergraduate modules:
- 1st Year: Vector Algebra & Calculus (MATH10521)
- 1st Year: Mathematical Methods (MATH10481)
- 2nd Year: Differential Equations & Transform Methods (MATH20451)
- 2nd Year: Mathematical Modelling and Quality Control for Business (MATH20501)
- 1st Year: Ideas of Motion: From Galileo to Einstein (PHYS12124)
- 1st Year: Laboratory Instrumentations & Physics Skills (PHYS12632)
Dr Hamadeh also supervises research projects for final year and postgraduate students. She also conducts research in Scientific Computing and Numerical Analysis.
Dr Hamadeh was previously a Post-doctoral Research Fellow in Physics at the School of Science and Technology, Nottingham Trent University (2017-2018) working with Dr David Fairhurst and Dr Martin Bencsik. During her post-doc role, her research focused on developing a novel approach to study human dried blood droplet patterns via applying sophisticated image processing routines and optimising a multivariate statistical machine learning algorithm. Prior to that, Dr Hamadeh worked as a Research Assistant at the School of Architecture, Design & the Built Environment, Nottingham Trent University (2016-2017) with Professor Amin Al-Habaibeh. Her work during this role analysed, experimentally and theoretically the thermal dissipation of LEDs embedded in smart textiles using infrared thermography imaging and mathematical modelling. At the same time of this role, Dr Hamadeh was a Visiting Research Scholar at the same department carrying out a computational study to assess the energy efficiency and performance of many engineering systems and proposing ideas, based on the outcomes, to reduce energy consumption and enhance sustainability.
Dr Hamadeh completed her PhD in Theoretical Physics at the University of Nottingham in 2015 under the supervision of Professor Igor Lesanovsky and Professor Peter Kruger. Her thesis theoretically and numerically investigated the long-range interactions of ultra-cold gases of Rydberg-dressed atoms in multi-well potential traps.
- Numerical Methods and Algorithms
- Scientific Computing
- Mathematical Modelling and Analysis of PDEs
- Reduced-Order Models
- Machine Learning for Prediction and Optimisation
- Image Processing
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 https://www.ntu.ac.uk/research/research-degrees-at-ntu.
Dr Hamadeh is
- A member of The Institute of Physics (IOP)
- Associate Fellow of Higher Education Academy (HEA)
- A member of The Statistical Royal Society (RSS)
In February 2018, Dr Hamadeh won the 3-Minute Wonder competition for the East Midlands branch hosted by the Institute of Physics. She presented her work on using infrared thermography to assess thermal performance of smart textiles. As a result, she was invited to present this talk at the Royal Institution in London in May 2018 to be one of the finalists in the 3-minute Wonder Grand Final.
- Weibin Li, Lama Hamadeh, and Igor Lesanovsky, "Probing the interaction between Rydberg-dressed atoms through interference", Phys. Rev. A 85, 053615, (2012).
- Lama Hamadeh, Samia Omran, Martin Bencsik, Graham R. Sharpe, Michael A. Johnson & David J. Fairhurst, "Machine Learning Analysis for Quantitative Discrimination of Dried Blood Droplets", Scientific Reports, volume 10, Article number: 3313 (2020)