Dr Naseem Ramli is a Lecturer in Engineering Education at King's College London, where she teaches and designs electronic and electrical engineering modules.
Naseem obtained her degree in Telecommunication Engineering from University of Essex in 2012 and subsequently was awarded a PhD in Computing and Electronic Systems in 2017 from the University of Essex (Thesis title: An Investigation of Photovoltaic Power Optimization). She received the following awards during her BEng and PhD studies:
- Excellent in Teaching Award ETA 2015-2016
- Shortlisted to showcase Research at House of Commons (SET for BRITAIN 2016)
- 5th Computer Science and Electronic Engineering conference CEEC 2013 Best Poster Presentation Prize
- Computer Science and Electronic Engineering Prize for achieving the highest degree percentage in the CSEE department in 2012
- Institution of Engineering and Technology IET Prize for achieving the highest Telecommunication degree mark in 2012
- Project Presentation Prize for the best final year project presentation in 2012
- Telecoms Technology Prize for achieving the highest Telecommunication mark in 2011
In 2016, she was awarded the University of Essex Excellence in Teaching Award due to incredibly valuable work she did in supporting her students and her peers in CSEE department. She went above and beyond the contractual obligations of the teaching-support role she occupied, and it was recognised through the award. Her practice is very support-led; this was acknowledged as a role model in her field through the award.
In 2017, she became a KTP associate leading a collaborative research project between the University of Essex and Above Ltd to take the company existing drone technology to the next technological level to bring sophisticated, accurate and automated monitoring to Europe's booming solar farms. During her time as a KTP, she designed and prototyped a drone sensor device that gathers data from various sensors (IMU, GPS, and Pyranometer, Temperature, pressure and humidity sensors). She also developed an image processing algorithm that segments individual solar panels from both thermal and visible images.
In 2019, she became a Technical demonstrator at Essex University where she provided day-to-day dedicated technical teaching support for students within CSEE school. She was teaching electronics and mechatronics modules and supported laboratory activities throughout the school.
- Photovoltaic power optimisation
- Renewable energy
- Power electronics
- Laboratory environment and classrooms
- Laboratory curriculum development
- Engineering education