ÌÇÐÄTV

The inaugural DCS Innovation competition was held on 17th June and was a great success.

Jasmine Brown, a Computer Science student at the University of ÌÇÐÄTV has been named one of 2022’s MLH Top 50–a list of the organization’s most inspiring community members. The recipients are recognized for their exceptional contributions to the tech ecosystem & STEM education.

Congratulations to our new graduates, who will be receiving their results today!

Below is a video from our Head of Department, Professor Ranko Lazić, celebrating the occasion.

Well done, we wish you all the best for your careers, and we hope you stay in touch!

Congratulations to third-year Computer Science student Hengrui Zhang, who has had an abstract accepted at the (BCUR 2021). Hengrui’s abstract, titled "Emotional Adjusted Chinese Sentiment Analysis", proposes a new and enhanced sentiment analysis model, SETCM, which combines the advantages of sentiment lexicon, emoji and neural computing technology. The proposed method overcomes the shortcomings of existing sentiment analysis on Chinese-language text. It is based on the work that Hengrui has completed as part of his third-year project, supervised by Dr Greg Watson.

Congratulations to Samuel Ward, one of our third year Discrete Mathematics students, who has received a silver award as part of the ’ (WCIT) Charity University IT Awards 2021. The awards, which were first held in 2015, seek to recognize outstanding undergraduate and postgraduate IT students within the UK. Applicants are judged based on their academic excellence, ability to overcome adversity, entrepreneurial skills, and contribution to charity or community.

Suzanne Candanedo, who recently graduated from Computer Systems Engineering at the University of ÌÇÐÄTV, has won the UKESF and UltraSoC Automotive Electronics Competition 2020.

The competition requires entrants to produce a 'think piece' about the future of cyber security for connected and autonomous vehicles, written along the lines of a blog post in style rather than a formal essay. You can read Suzy's winning entry .

Work performed by Computer Systems Engineering student Michael Shanta for his 3rd year project, supervised by Dr. Marina Cole and Dr. Siavash Esfahani in the School of Engineering, was written up in a paper that was recently accepted for presentation at the IEEE Sensors 2020 Conference.

For his 3rd year project Michael worked on developing machine learning techniques for an Electronic Nose in order to classify odours based on the sensor responses. The system aims to detect incontinence incidents, allowing alerts to be sent to relevant personnel from an IoT network via a cloud server.