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Advanced Technologies Research Group

What is the Advanced Technologies Research Group?

Newton building

The Advanced Technologies Research Group (ATRG) consists of staff with interests in a broad range of research areas. They provide an active research environment with knowledge transfer activities conducted at the highest international level.

The Group works closely with national and international industrial partners and has strategic partnerships with key beneficiaries. These industry links have led to new product developments, helping businesses to achieve a competitive advantage and secure new markets.

The research performance of the Group has recently been highly rated by the Research Excellence Framework (REF) with 90% of research output judged to be “internationally excellent”.

Areas of interest

The Advanced Technologies Research Group has research interests in the following areas

  • Acoustic Emission and Vibration analysis and testing
  • Computing systems
  • Immersive Technologies
  • Lift Technology and High Performance Engineering
  • Networking and robotics
  • Non-destructive testing (NDT)

Recent projects

Computer Simulation Methodology for the Control of Vibrations in High-Rise, High-Speed Elevator Systems

The Lift Technology and High Performance Engineering section of the ATRG have been involved in a number of projects covering the dynamic performance of high-rise elevator systems. Their partnership with ThyssenKrupp Elevator AG has led to a number of research and innovation projects, including investigation into aerodynamic effects that occur when a high-speed lift travels through the hoistway.

The project resulted in the development of a computational model to predict the aerodynamic interactions in high-speed lift systems. The model has been implemented in a high-performance computer simulation and 3D visualisation platform and can now be deployed as a tool for aerodynamic design and optimization of high-rise lift systems.

Current projects

Modelling and Simulation of a nonstationary high-rise elevator system to predict the dynamic interactions between its components

This study is focused on the prediction and analysis of the dynamic responses of suspension and compensating ropes in high-rise elevator systems that are induced by building motions.

The scope of this project involved the development of mathematical models of a high-rise elevator system which can be used to predict the dynamic interactions taking place during its operation. The model is implemented in a high performance computational platform and the dynamic response of the system is determined through numerical simulation.

External partners

ATRG works with a range of external partners locally, nationally and internationally.

ThyssenKrupp logo

ThyssenKrupp Elevator AG is one of the world’s leading elevator and escalators companies and incorporate the latest research into their development work and manufacture all elevator and escalator systems in their own plant.

BINDT logo

Working closely with the British Institute of NDT which is the professional institute for all those engaged in non-destructive testing and condition monitoring, in terms of standards and sharing testing facilities.

Royal Mail logo

Partnership with Royal Mail involves generating new knowledge and ideas to drive research and innovation in the field of logistics. These involve varieties of projects across the different disciplines of technology.

CIBSE logo

The Chartered Institution of Building Services Engineers (CIBSE) Lifts Group supports lift engineering research and scholarship activities.

LEIA logo

Lift and Escalator Industry Association (LEIA) supports the lift engineering postgraduate teaching programme and knowledge transfer partnership / enterprise activities in lift technology.

ATRG Staff

Staff working with the ATRG include:

Professor Stefan Kaczmarczyk, Research Leader; LT&HPE

Professor Stefan Kaczmarczyk
01604 893158

Professor Phil Picton, Research Leader; NDT

Professor Phil Picton
01604 893084

Dr Scott Turner, Research Leader; Computing

Dr Scott Turner
01604 893028

Dr Jonathan Adams, researcher

Dr Jonathan Adams
01604 893074

Dr Surat Ajit, researcher

Dr Surat Ajit
01604 893257

Dr Ali Al-Sherbaz, researcher

Dr Ali Al-Sherbaz
01604 893182

Dr Abdeldjalil Bennecer, researcher

Dr Abdeldjalil Bennecer
01604 893620

Dr Triantafyllos Kanakis, researcher

Dr Triantafyllos Kanakis

Dr Seyed Mirhadizadeh, researcher

Dr Seyed Mirhadizadeh
01604 893315

Dr Stephen Mabbutt, researcher

Dr Stephen Mabbutt
01604 893102

Dr James Xue, researcher

Dr James Xue
01604 893390

Dr Douglas Mills, researcher

Dr Douglas Mills
01604 893213

Dr Huijuan Su, researcher

Dr Huijuan Su
01604 893331

Dr Angel Torres Perez, researcher

Dr Angel Torres Perez
01604 893795

 Dr Mu Mu, researcher

Mu Mu
01604 893643


ATRG Students

ATRG currently has over 20 research students:

Hayder Al-Jelawy

Hayder’s research investigates the modelling of fluid structure interactions and flow induced vibration phenomena to predict and control the dynamic behaviour of high-speed high-rise vertical transportation system.

Sylvester Ajah

Enhancing the energy efficiency of machine to machine communication (M2M) devices using compressive sensing.


Thomas Ehrl

Thomas Ehrl

Thomas explores different learning styles of a multi-cultural engineering workforce to improve teaching concepts of higher education distance-learning courses.


Stefan Gerstenmeyer

Stefan Gerstenmeyer
Stefan’s research aims to analyse and improve the quality and quantity of service in destination control and multi cabin lift groups in terms of traffic handling including circulating multi cabin lift groups, lift control functionality and call dispatching strategies.

Karl Flowers

Karl’s research focuses on the dynamics of leather rotating in a horizontal drum. It contributes to the field of leather by allowing industry and academia to understand the model of motion of leather contents and how water can be saved in the leather process.

Ali Hassan

Ali is investigating the theoretical and experimental implementation of active control techniques for machine induced vibrations using linear actuators to damp the undesired vibration of a Stirling engine generator which utilises heat energy resources to generate electricity.

Ayodeji Olamide

Ayodeji’s research aims to evaluate the effects of weld geometric profile on the fatigue life of monopile structures, using Linear Elastic Fracture Mechanics.

Rafael Sanchez Crespo

In his PhD Rafael has been developing a mathematical model of a high rise elevator installation to predict the dynamic interactions in the building – elevator system when it’s subject to the action of adverse environmental phenomena such as strong winds.

Sam Broujeni

Sam’s research explores various methods of non destructive testing to ascertain a reliable measure of vertical depth of cracks in rails in order to reduce the depth by material removing techniques to prolong the serviceability of the rail.

Tom Butler

Towards the Development of Enhanced Strategies  for Computing Education within UK Schools Utilising Contemporary Technology.

James Oakes

Research Topic: Intelligent Management of Virtualised Computer Based Workloads and Systems.

Ahmad Baheej Al-Khali

Enhancing The PHY Layer in Vehicle to Vehicle V2V Communications.

Alex Dziubek

Towards the Development of Enhanced Strategies  for Computing Education within UK Schools Utilising Contemporary Technology.

Alyaa Al Barrak

Network Coding for Wireless Network Security over Galois Field Theory.

Oyindamola Olajubu

Mohamed Redha Sidoumou

Working with ATRG

If you are interested in working with ATRG please contact


Select a recent output below or view all research outputs on NECTAR.