PGR Poster Day - EEE Winners

Published on

Image of Turki with his poster

The much-delayed PGR Poster Day took place on Tuesday 7th June with PhD students from across the Faculty in years 2, 3 & 4 invited to present a Poster.

The School of Electrical Engineering, Electronics and Computer Science made up approximately half of the 70+ students who presented their research to academics and peers from the Faculty and the wider University.

Attendees were asked to vote via QR code for their favourite posters in each school and for an overall winner. For EEE&CS, the winner was Turki Alnuayri (EEE) and the overall winner was Ping-Chen Tsai (also EEE). The winners received an Amazon gift card.

Read below to find out more about the winning posters.


Turki Alnuayri       

Image of Turki in front of his winning poster

Title of Turki's poster: Electronic Hardware Security: Counterfeit Integrated Circuits (ICs) Detection for Recycled and Remarked (RRICs) based on Aging and Machine Learning Techniques

Summary: The integrated circuits (ICs) may be exposed to counterfeiting due to the involvement of untrustworthy parties in the semiconductor supply chain. In addition, this drift in the semiconductor supply chain produces high volume of electronics-waste (e-waste), which threatens the security and reliability of electronic systems that utilize ICs in all domains through ICs counterfeiting, i.e., recycled and remarked ICs. Utilising IC reclaimed from an old system and declaring it as a new one is referred as recycled IC. Similarly, IC package may be reprinted to falsely upgrade its domain from commercial to medical or defence may cause systems failure, compromising human lives, financial loss and national security. This research focuses on the most counterfeited area—recycled and remarked ICs—that represents 80-90% of counterfeiting incidents and aims to develop a technique to distinguish between new and used (recycled) ICs that have been used for a short period of time based on an aging sensor mechanism. Alnuayri is developing his work by incorporating a machine learning (ML) based method on aging analysis and prediction of advanced CMOS designs. He developed this technique by differentiating recycled ICs from new ones, and provided new insight into detection of recycled integrated circuits.



Image of Ping with her poster

Title of Ping's poster: Reducing risk of falls in older people using brain-computer-interface (BCI)

Summary: Falling could easily cause injuries in older adults. Gait and balance performance improvements help reduce risk of falls. Aspects of execution function including attention and working memory in the cognitive domain are ascertained to be essential to control gait and postural tasks for human. Neurofeedback (NF) training has shown promising results in improving both attention and working memory, and we hypothesise it could potentially reduce fall risks in community-dwelling older adults. By learning during the neurofeedback training, brain reorganizes neuron pathways, create new connections and new neurons. The training promotes brain’s ability to enhance existing cognitive capabilities and strengthening areas where function has declined. NF can be implemented in a brain-computer-interface (BCI). The BCI user is expected to learn controlling and regulating their brain activity by the hint of real-time feedback given on a computer. The present project aims to implement affordable electroencephalogram (EEG) based non-invasive BCI to train and improve attention and working memory using NF by enjoyable computer games.  The objective is to investigate the effect of neurofeedback training on risk of falls after a maximum 12-week training trial on a few older participants. The outcome will be the changes in gait and balance performance and in EEG activities. If the results of this study show improvement in gait and balance in community-dwelling older adults, this low-cost technique may be considered as a therapeutic intervention to enhance their mobility. 


Poster day group of students on stairs                                   

Also, on campus awarded students as follows:

Computer Science:

Said Al-Riyami

Mahmood Alsaadi

Mohammed Alshehri

Nicos Protopapas

Electrical Engineering and Electronics:

Bahaa Jasim Mousa Al-Juboori

Muhammad Chughtai

Qiang Hua

Ogeen Toma

Ni Wang

Han Yu

Wenzhang Zhang


It was lovely to feel a general buzz among the students, to see real life networking taking place and to get positive feedback for the event which was organised by our Link Officer in the LDC, Lyn Hughes with assistance from PGR Admin staff from each School. 


Well done to all of our students who took part and showed their posters!