Denai, Mouloud
- School of Engineering and Technology
- Science & Technology Research Institute
- Centre for Engineering Research
- Smart Electronics Devices and Networks
Person: Academic Staff, Academic
Mouloud Denai
School of Engineering and Technology, 15/01/14→ …
Postal address:University of Hertfordshire
Hatfield
Hertfordshire
AL10 9ABUnited KingdomPhone: 01707284000 (ext. 77624)
Mobile: 07780365812
Science & Technology Research Institute, 15/01/10→ …
Postal address:University of Hertfordshire
Hatfield
Hertfordshire
AL10 9ABUnited KingdomSchool of Engineering and Technology, 14/02/14→ …
Postal address:University of Hertfordshire, Hatfield, HertfordshireUnited KingdomCentre for Engineering Research, 26/05/11→ …
Smart Electronics Devices and Networks, 27/07/11→ …
Science & Technology Research Institute, 14/02/14→ 23/08/15
Postal address:University of Hertfordshire, Hatfield, HertfordshireUnited KingdomScience & Technology Research Institute, 15/01/14→ 16/02/14
Postal address:University of Hertfordshire
Hatfield
Hertfordshire
AL10 9ABUnited KingdomSchool of Engineering and Technology, 1/05/10→ 14/01/14
Postal address:Teesside University
School of Science & Engineering
Middlesbrough
TS1 3BAUnited Kingdom
Overview
Dr Mouloud Denai is a Senior Lecturer in Electric Power and Control. He graduated from the University of Science and Technology of Algiers and Ecole Nationale Polythechnique of Algiers, Algeria in Electrical Engineering and received his PhD in Control Engineering from the University of Sheffield, UK. He worked for the University of Science and Technology of Oran (Algeria) until 2004 and the University Of Sheffield (UK) from 2004 to 2010. He worked for Teesside University from 2010 to 2014. He is currently with the School of Engineering & Technology, University of Hertfordshire, UK.
Teaching specialisms
Electric Power
- Electrical Engineering Fundamentals
- Electrical Machines
- Electric Power Systems
- Power Electronics and Electrical Drives
- Digital Electronics
Control
- Control System Theory; Digital Control; State-Space Analysis and Design; Robust and Multivariable Control, Adaptive Control
- Intelligent Control (Fuzzy logic and neural networks)
- System Identification
Research interests
My main field of expertise are in modelling, control and optimisation and span the areas of life science and engineering.
Research interests in Life Science (Biological and Biomedical) include: Hybrid (physically-based, data-driven and qualitative) modeling, optimisation and control of biomedical engineering and healthcare; Decision support systems for diagnosis and therapy planning in critical care medicine; Data modeling and knowledge elicitation for medical decision-making.
Research interests in Renewable Energy Systems & Electric Power Systems Automation include: Intelligent control design for efficiency optimisation in the field of renewable energies systems; Intelligent control of micro-grid and hybrid renewable energy systems for residential/business buildings and transportation; Energy dispatch scheduling in power systems with distributed energy sources and energy storage systems.
My current area of research interest is focused in the design of supervisory control and decision support systems for energy management, dynamic scheduling, optimisation and control of smart power system infrastructures.
