DR. JAFFERI BIN JAMALUDIN
Universiti Malaya Power Energy Dedicated Advanced Centre
Universiti Malaya Power Energy Dedicated Advanced Centre
jafferium.edu.myView CV | |
Publons | |
Biography | |
Dr. Jafferi Jamaludin received the B.Eng. degree from Universiti Tenaga Nasional, Putrajaya, Malaysia, and the M.Eng.Sc. and Ph.D. degrees from the Universiti Malaya, Kuala Lumpur, Malaysia. He is currently a Senior Lecturer at University of Malaya Power Energy Dedicated Advanced Centre (UMPEDAC). He was a Visiting Lecturer at the Department of System Design Engineering, Keio University, Japan from 2018 to 2019. His research interests include energy management, controller design, embedded systems and power electronics and its application in unmanned aerial systems. He is a Professional Technologist registered with Malaysia Board of Technologists (MBOT), a Chartered Engineer registered with the Engineering Council, UK and a member of the IEEE and the IET.
|
Publication
Finance
Project Title | Progress | Status |
---|---|---|
Flexible Energy Management Strategy For Integrated Hybrid-powered Unmanned Aerial Vehicles |
|
end |
Energy Efficiency Optimization Of Fuel Constrained Internet Of Drones (iod) For Search And Rescue (sar) Operation |
|
end |
Mitigation Of Large Voltage Fluctuations Through Enhanced Reactive Power Injection Strategy For Grid-tied Inverter Considering High Photovoltaics Penetration |
|
end |
This information is generated from Research Grant Management System |
Enhanced Energy Delivery for Solar PV Distributed Generators at Voltage Sags
Improved active and reactive power sharing on distributed generator using auto-correction droop control
Enhanced Energy Delivery for Solar PV Distributed Generators at Voltage Sags
Improved active and reactive power sharing on distributed generator using auto-correction droop control
Energy performance review of battery-powered drones for Search and Rescue (SAR) operations
Power controller effects for mitigating harmonics in a three-phase grid-connected inverter
Impact of query information on electricity demand forecasting based on K-Nearest Neighbors Model
Solar parabolic trough thermal energy output forecasting based on K-Nearest Neighbors approach