Dr Zohreh Kaheh
Lecturer (Education) - Mathematics/Statistics
Summary
Dr Zohreh Kaheh is a Lecturer in Mathematics/Statistics at the Brunel University London – NCUT Joint School, where she teaches and leads undergraduate modules in Advanced Calculus 1, Elements of Applied Mathematics 1, and Discrete Mathematics & Operations Research. She has extensive international teaching experience across Asia and Europe and is committed to fostering analytical thinking, problem-solving skills, and mathematical understanding within diverse learning environments.
Dr Kaheh is particularly interested in the use of optimisation and modelling techniques to support distributed decision-making in socio-technical systems. Her work draws on methods from operations research, applied mathematics, and data science to address challenges at the intersection of engineering, business, and policy.
Alongside her teaching and research interests, she contributes to curriculum development, module leadership, and the supervision of undergraduate research projects within the Brunel–NCUT Joint School.
UG Modules:
MA1637 Calculus
MA1639 Elements of Applied Mathematics 1
MA1640 Advanced Calculus 1
MA2606 Discrete Mathematics and OR
MA2635 Discrete Mathematics and OR (NCUT)
MA3619 Data Science Project
Qualifications
- BSc in Statistics
- MSc in Industrial Engineering
- PhD in Industrial Engineering
Responsibility
- Module Leader for Advanced Calculus 1, Elements of Applied Mathematics 1, and Discrete Mathematics & Operations Research.
- Deliver lectures, tutorials, laboratory sessions, assessments, and academic supervision to cohorts of over 100 students in Brunel-NCUT joint school.
- Supervise undergraduate Final Year Projects, supporting students in research design, analysis, technical writing, and professional development.
- Co-organised Final Year Project viva examinations, coordinating schedules for 109 undergraduate students and multiple academic staff members.
Newest selected publications
Kock, R., Kaheh, Z. and Shafie-Khah, M. (2024) 'Developing Two RNN-Based Algorithms for Electricity Price Forecasting in Markets with High Penetration of Renewable Energy Resources'.2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM). Napoli, Italy. 19 - 21 June. IEEE. pp. 1266 - 1270. ISSN: 2835-8449
Kaheh, Z., Baradaran Kazemzadeh, R., Masehian, E. and Husseinzadeh Kashan, A. (2022) 'A Mathematical Negotiation Mechanism for Distributed Procurement Problems and a Hybrid Algorithm for its Solution'. Scientia Iranica, 31 (11). pp. 805 - 824. ISSN: 1026-3098 Open Access Link
Kaheh, Z. (2021) 'Social and Economic Factors in Demand-Side Flexibility', inFlexibility in Electric Power Distribution Networks. Open Access Link
Kaheh, Z. (2021) 'A System-of-Systems Planning Platform for Enabling Flexibility Provision at Distribution Level', inFlexibility in Electric Power Distribution Networks. Open Access Link
Kaheh, Z. and Shabanzadeh, M. (2021) 'The effect of driver variables on the estimation of bivariate probability density of peak loads in long-term horizon'. Journal of Big Data, 8 (1). pp. 1 - 17.Open Access Link