Joanna Hartley

Jo Hartley

Principal Lecturer

School of Science & Technology

Staff Group(s)
Computing and Technology


Principal Lecturer – Undergraduate Courses Manager (Computer Science cluster)

Dr Joanna Hartley is the Undergraduate Courses Manager of the Computer Science cluster of courses within the academic team of Computing and Technology. She is Module Leader of the level 5 module Applied Maths and Graphics. She also contributes to teaching on the following modules: level 6 Final Year Project; level 5 Practical Project and Professional Development; level 4 Computer Technology and Maths; level 4 Foundations of Computing and Technology (Numeracy strand).

Dr Hartley is the Senior Admissions Tutor for the undergraduate courses in Computing and Technology. She is a member of a number of university and school committees – Course Development Review Subcommittee; TILT BTEC Champions Working Group, Student Progression and Achievement Working Group, and Student Attributes Working Group.

Career overview

Dr Hartley was awarded a BSc (Hons) Mathematics from University of Durham in 1991.

She joined Nottingham Trent University in 1992 as a research assistant in the area of mathematical modelling of real-time systems and transputers. This led to her being awarded a PhD in 1996. Her thesis title was “Parallel Algorithms for Fuzzy Data Processing with Application to Water Systems”.

In 1995, she became a lecturer in the Department of Computing at Nottingham Trent University, and has remained at the institution. She is now a principal lecturer (since 2013) within the School of Science and Technology.

Research areas

Dr Hartley's research interests are in the area of simulation and mathematical modelling of real-world systems, in particular traffic and travel networks (Hartley, 2007). This includes the development of efficient stochastic time-dependent shortest-path algorithms for private transport (Polenta and Hartley, 2003) and scheduled public transport (Wu et al., 2005a; Wu et al., 2005b). The EU programme Models for Optimising Dynamic Mobility (MODUM) considers commuters using multi-modal transport who are faced with ever-changing conditions (caused by incidents, roadworks and congestion), and the aim is to provide a solution to the individual commuters that will result in global optimisation of the travel network.

User preferences have been considered for public transport travel (Wu and Hartley, 2004a; Wu and Hartley, 2004b). In the future, user preferences and driver behaviour will be incorporated as an integral part of the decision process in generating individual optimal routes for users of private transport. Another necessary feature is the improved prediction of future travel times on urban links (Hartley, 2003a; Hartley, 2003b).

Dr Hartley takes an active interest in peer-to-peer support in higher education, in particular student mentoring and leadership development (Hartley, 2008). A mentoring and student ambassador scheme at Nottingham Trent University has been developed with one of its aims being to improve the retention of first year students (Hartley, 2009). Another initiative that has been developed is a motivational event targeted at first and second year students, involving final year students, alumni, and local companies.

External activity


Journal Papers:

Time-dependent Stochastic Shortest Path(s) Algorithms for a Scheduled Transportation Network. Wu Q., Hartley JK, Al-Dabass D, International Journal of Simulation Systems, Science & Technology, 2005, 6 (7-8), 53-60

Accommodating User Preferences in the Optimization of Public Transport Travel (extended version). Wu Q, Hartley JK, International Journal of Simulation Systems, Science & Technology: Applied Modelling & Simulation, 2004, 5 (3-4), 12-25

Conference Papers (reviewed):

Stochastic and Time Dependent Shortest Path through an Urban Environment. Alhoula W, Hartley JK, Proceedings of the IEEE Technically Co-Sponsored Science and Information Conference, 2014, London UK

Enhancing the student experience: a motivational event for all students. Hartley JK, Proc. of 1st RAISE Conf., Sept 2011

Using student ambassadors to aid retention of first year students. Hartley JK, Proceedings of 3rd Science Learning and Teaching Conference, June 2009, Edinburgh

The Computing and Technology Student Ambassador Scheme at Nottingham Trent University. Hartley JK, Proceedings of 10th Annual Learning and Teaching Conference, April 2008, Nottingham

Using K-Shortest Paths Algorithms to Accommodate User Preferences in the Optimization of Public Transport Travel(translated version). Wu Q, Hartley J, Proceedings of 8th Applications of Advanced Technologies in Transportation Engineering Conference, May 2004, 113-117

Review of Shortest Path(s) Algorithms in a Time-Dependent Stochastic Scheduled Transportation Network. Wu Q, Hartley J, Al-Dabass D, Proceedings of 8th International Conference on Computer Modeling & Simulation, 2005

See all of Joanna Hartley's publications...