Dr Kamyar Mehran
Email: firstname.lastname@example.orgTelephone: +44 20 7882 6123Room Number: Engineering, Eng E107Website: https://kamyarmehran.eecs.qmul.ac.uk/Office Hours: Monday 15:00-16:00, Monday 14:00-15:00, Monday 13:00-14:00, Monday 11:00-12:00
Electrical Machines and Systems (Undergraduate)
This module introduces the principles of electric power generation, transmission and distribution. It also explains the operation of electric machines and simple power electronic systems.
Electrical Machines and Systems (Postgraduate)
This module introduces the principles of electric power generation, transmission and distribution. It also explains the operation of electric machines and the principles of the protection of power systems. It provides revision of ac and dc circuit theory and analysis of balanced and unbalanced three-phase ac power systems. The methods of generating electric power and how power is transferred from the generating station to industry and domestic consumers will also be explained. The module will include ac and dc generators, ac and dc motors, stepper motors, transformers, ac and dc transmission, protection of power systems and introduce the smart grid.One part of this module introduces the principals and technologies of power system operation (generation, transmission and distribution). This module will have labs either in the electronics lab, or in the ITL
Power Electronics (Postgraduate/Undergraduate)
This module is intended to strengthen the electrical power component of our UG programmes. This has been highlighted as an area of weakness in the past by our accrediting body, the IET. This module is intended to complement ECS618U Electrical Power Engineering. This module will be optional on Electrical and Electronic Engineering, and optional on Electronic Engineering and Electronic Engineering and Telecomms.
My primary research is in the field of power and control system engineering. I have a special interest to use advanced control approaches including intelligent, adaptive, optimal, and nonlinear control to solve problems in vehicle systems, energy storage (grid, vehicular), engines, microgrids, wide-bandgap (WBG) power electronic circuits, and energy management systems in general. I integrate different techniques including multi-sensory fusion, statistical signal processing, nonlinear dynamics and machine learning into control to find solutions to energy management problems. I am also interested in bridging the control and communication theories to solve a variety of real-time problems in the smart grid, the internet of things (IoT) and wireless sensor networks.
Currently most of my projects are industrially-focused for improving the efficiency, safety and life-cycle of electric vehicles power electronics and battery packs.
I have founded Real-time Power and Control System (RPCS) Laboratory. The main activities of the laboratory is the cutting-edge research on energy management system in xEVs and microgrids with the help of the hardware-in-the-loop (HIL) and real-time rapid prototyping technologies. Please look at my website https://kamyarmehran.eecs.qmul.ac.uk/ for further details on the laboratory projects. The RPCS laboratory holds the health & safety standards for running high-power 3-phase motor drive and battery pack experiments.
BSc in Computer Engineering (1999, Tehran),
MSc in Automation and Control (2004, Newcastle),
PhD in Electrical and Electronic Engineering (2010, Newcastle)
PGCert in Business and Entrepreneurship (2010, Durham)
MIEEE, MIET, FHEA
Bagheri A, Vahidinasab V, Mehran K (2017). A Novel Multiobjective Generation and Transmission Investment Framework for Implementing 100% Renewable Energy Sources. nameOfConference
Monajemi T, Rahimian A, MEHRAN K (2017). Energy Management Using a Situational Awareness-Centric Ad-Hoc Network in a Home Environment. Second EAI International Conference on Smart Grid Inspired Future Technologies (SmartGIFT)
Fang M, Ren A, Zhang Z et al. (2017). Reverse Recognition of Body Postures Using On-body Radio Channel Characteristics. nameOfConference
Mehran K, Zahawi B, Giaouris D et al. (2015). Stability analysis of sliding-grazing phenomenon in dry-friction oscillator using Takagi-sugeno fuzzy approach. nameOfConference
Mehran K, Zahawi B, Giaouris D (2012). Investigation of the near-grazing behavior in hard-impact oscillators using model-based TS fuzzy approach. nameOfConference