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Professor Dorothy Monekosso


About Professor Dorothy Monekosso

Dorothy Monekosso is Professor of Computer Science in the Faculty of Arts, Engineering, and Technology, Leeds Beckett University. She holds a PhD in Space Systems Engineering from the Surrey Space Centre, University of Surrey.

Dorothy holds a PhD in Space Systems Autonomy (autonomous spacecraft) from the Surrey Space Centre, a Master’s in Satellite Engineering and Bachelor in Electronic Engineering. Her research interests are building Ambient Assisted Living (AAL) systems, Intelligent Environments (smart homes), and Assistive Robotics. Specifically, she conducts research into sensor data analytics and decision support systems; applying machine learning techniques to human activity recognition, behaviour analysis and automated sensor failure detection and recovery.

Dorothy began her career in space technology R&D at Surrey Satellite Technology Ltd, developing on-board computers and control systems for spacecraft. She became interested in Artificial Intelligence during her PhD (2000) research at the Surrey Space Centre, applying machine learning methods and techniques to autonomous spacecraft. On the basis of this work, she was awarded a Royal Academy of Engineering, Engineering Foresight Award and spent a year at the Jet Propulsion Lab in Pasadena California.

In 2009 she joined the University of Ulster in Northern Ireland. Since returning to England in 2013 she has worked across academia and the private sector working with a number of SMEs in the digital health and security sectors.

Dorothy has authored and co-authored over 100 peer-reviewed publications in scientific journals and conferences and co-author of a monograph. She is guest-editor of book collections published by Springer-Verlag in the field of ambient intelligence and Intelligent Paradigms in Security. She is currently Associate Editor of NEUROCOMPUTING, Guest Editor of IEEE Transactions of Human Machine Interactions, and IEEE Transactions of Intelligent Systems and has served on the organising committee and programme of several international conferences including recently VCIP 2013, IE 2014-15, ACPR 2015.

Notable projects are “Space Autonomy”, JPL NASA/Royal Academy of Engineering, “Visual Modelling of People Behaviours and Interactions” (EOARD/AFOSR FA8655-06-1-301), EPSRC funded “Ambient Intelligence algorithms for advanced human machine interaction” (EP/C007859/1), a UK-Japan DAIWA funded “Assisted Living” project, US Department of Homeland Security funded projects "Multi-Robot Teams for Environmental Monitoring", DHS (2009-ST-108-000012), “Smart Monitoring of Complex Public Scenes”, an EU funded project “augmented video surveillance”, PROACTIVE EU FP7/ICT (2012-2015), EU JP AAL project BREATHE (2013-2015), and MONICA (www.monica-project.eu ) EU funded H2020 (2017-2019).

Dorothy’s research is applied and works closely with the private sector. She is currently academic lead on three InnovateUK funded Knowledge Transfer Partnerships (KTP) with Essential Ltd, Omega Security Systems Ltd and Abbey Industrial Systems Ltd. Other projects she is involved in include the ‘automated gait assessment in an elderly cohort’ and a ‘remote rehabilitation system for Stroke victims’ supported by the Newton programme, Royal  Academy of Engineering and the University of Malaya in Kuala Lumpur, Malaysia.

Much of her work is in the healthcare domain developing ICT-based 'intelligent' systems to enable people living with dementia to remain longer at home and to support the rehabilitation of Stroke survivors.

At one end of the spectrum, she has developed several standalone tools or cognitive aids to support people with memory impairment. At the other end of the spectrum, I am particularly interested in developing adaptive smart home to support independent living. These smart homes can monitor and provide feedback, can learn and adapt to the changing circumstances of the person living in the home.

Two main issues as with all technology, are usability and acceptance. Technology is, more often than not, conceived without or with limited end-user input. Monitoring technologies introduce additional concerns that of privacy; after all who wants to be watched 24/7 even if it is for one's own benefit?

For these reasons, it is necessary to work closely with colleagues in healthcare, social sciences, and psychology together with end user to guide the design.

Areas of Expertise

  • Telehealth and Telecare
  • Ambient Assisted Living (AAL)
  • Assistive and rehabilitation technologies
  • Intelligent systems and intelligent environments
  • Decision support systems
  • Internet of Things

Research Interests

Professor Monekosso's research interests are Ambient Assisted Living (AAL), Intelligent Environments (smart homes), and Assistive Robotics. Specifically she conducts research in sensor data analytics for human activity recognition, behaviour analysis and automated sensor failure detection. She is the author of over 90 peer-reviewed publications in scientific journals and conferences and co-author of a monograph. She is also guest-editor of book collections published by Springer-Verlag in the field of ambient intelligence and Intelligent Paradigms in security. She is currently Associate Editor of Neurocomputing, Guest Editor of IEEE Transactions of Human Machine Interactions, and IEEE Transactions of Intelligent Systems. Professor Monekosso has served on the organising committee and programme of several international conferences; most recently VCIP 2013, IE 2014-15, ACPR 2015. Her funded projects include “Space Autonomy”, JPL NASA/Royal Academy of Engineering, “Visual Modelling of People Behaviours and Interactions” (EOARD/AFOSR FA8655-06-1-301), EPSRC funded “Ambient Intelligence algorithms for advanced human machine interaction” (EP/C007859/1), a UK-Japan DAIWA funded “Assisted Living” project, US Department of Homeland Security funded projects "Multi-Robot Teams for Environmental Monitoring", DHS (2009-ST-108-000012), “Smart Monitoring of Complex Public Scenes”, an EU funded project “augmented video surveillance”, PROACTIVE EU FP7/ICT (2012-2015), and EU JP AAL project BREATHE (2013-2015). Other current projects include the ‘automated gait assessment in an elderly cohort’ and a ‘remote rehabilitation system for stroke victims supported by the Malaysian government.

Selected Publications

Journal articles (6)

  • Gu F; Revuelta FF; Monekosso D; Remagnino P (2015), Marginalised Stacked Denoising Autoencoders for Robust Representation of Real-Time Multi-View Action Recognition. Sensors, vol. 15
    View Repository Record
  • Monekosso D; Florez-Revuelta F; Remagnino P (2015), Ambient Assisted Living [Guest editors' introduction]. IEEE Intelligent Systems, vol. 30 (4), p. 2-6.
    https://doi.org/10.1109/MIS.2015.63
  • Monekosso DN; Flórez-Revuelta F; Remagnino P (2015), Guest Editorial Special Issue on Ambient-Assisted Living: Sensors, Methods, and Applications. IEEE Transactions on Human-Machine Systems, vol. 45 (5), p. 545-549.
    https://doi.org/10.1109/THMS.2015.2458019
  • Monekosso D; Florez-Revuelta F; Remagnino P (2015), Ambient Assisted Living. IEEE INTELLIGENT SYSTEMS, vol. 30 (4), p. 2-6.
  • Lim MK; Chan CS; Monekosso D; Remagnino P (2014), Refined particle swarm intelligence method for abrupt motion tracking. Information Sciences, vol. 283
  • Lim MK; Chan CS; Monekosso DN; Remagnino P (2014), Detection of salient regions in crowded scenes. Electronics Letters, vol. 50

Chapters (2)

  • Climent-Pérez P; Lazaridis G; Hummel G; Russ M; Monekosso DN; Remagnino P (2014) Telemetry-Based Search Window Correction for Airborne Tracking. In: Climent-Pérez P; Lazaridis G; Hummel G; Russ M; Monekosso DN; Remagnino P Advances in Visual Computing. : Springer, pp. 457-466.
    https://doi.org/10.1007/978-3-319-14249-4_43
  • Grech R; Florez-Revuelta F; Monekosso D; Remagnino P (2014) Robot teams: sharing visual memories. In: Grech R; Florez-Revuelta F; Monekosso D; Remagnino P Distributed Autonomous Robotic Systems. Springer Tracts in Advanced Robotics, vol 104. : Springer Berlin Heidelberg, pp. 369-381.
    https://doi.org/10.1007/978-3-642-55146-8_26
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