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My name is Antreas Antoniou. I am very passionate about research in engineering and science. I have always loved robots and technology. As such I have always been top of my class and then chose to become an engineer. Eventually I graduated as a computer systems engineer which is a degree that composed of half electronics and half computer science modules which enabled me to tackle problems involving both sciences. After an excellent third year in which I got 86% in my final dissertation I managed to finish with 16.6/24, a strong 2:1 which was 0.2/24 off from being a first. After being exposed to research at my final year project, embedded systems course and summer research internship in Lancaster University I decided to follow the path of the researcher and the engineer. Because of my love for robots and the fact that they are an extremely multi-disciplined subject which involves all the subjects I love I decided to become an expert in robotics and artificial intelligence. Robots have the potential to transform our world and lives by exploring our oceans, improving our cities and lives or even taking us up to the stars. I want to be part of that effort to help advance science, humanity and generally our world through research in robotics

Work experience

Software Programmer


I was selected by a large amount of students to be a software engineering intern through a Lancaster University Summer Internship program in which I had to design, implement, test, and finalize a system.The system had to be able of letting mobile devices communicate with a server in order to create a multiple choice test interaction between a server and a large amount of users and also support a chat engine between users and server. The end product had met and exceeded initial targets set by the supervisor.

Oct 2014Dec 2014

Software Developer


I worked in the Strategic Innovation Support Program in which I undertook a project to develop an android application. The app when completed was able to be enabled by a pre-determined phone shake,
and then it would send S.M.S messages , record video , or audio , and transmit the GPS coordinates via email , to preselected contacts in case of danger. In addition it had the option to be preset to enable it
after a specified timeframe had the user not disabled the service. This was done in 1, 5 month, reaching and exceeding the supervisor’s initial objectives. The customer was delighted and support was
provided throughout the next 3 months to allow the company to manage the app and its statistics.

Jul 2014Sep 2014

Embedded Systems Research Intern


I was handpicked by one of my professors to design / build and program new hardware for Blackpool Illuminations. The project involved researching current technologies and designing hardware device
capable of driving LEDS using PWM and pumps using a special technique we researched that allows for frequency control for high voltage devices. The hardware device was based on raspberry PI but
offered extended capabilities by including an on board PIC Micro for more refined hardware control. The RPi is used for networking and image processing so that the device may be programmed with wifi
from an online cloud-like programmer which will allow hard to reach places(top of the building LEDs) to be programmed without any hassle. Additional support is supplied for mobile devices programming.


BEng Computer Systems Engineering 

Lancaster University

Graduation Grade 16.6/24, Class: 2:1

MSc Data Science 2015

Lancaster University

Graduation Grade:Not Finished, Class: Currently Distinction


  • Lancaster University · MSC DATA SCIENCE SCHOLARSHIP
    Made a robot used for teaching computer science to kids
    More info at


Final year research project “Fault Tolerant , Self Monitoring Sensors”

Got 86% in my final year dissertation research project by researching the methods / implementing simulations / designing / building apparatus / proving technique experimentally and
finally designing a professional grade sensing system capable of converting any sensor into a self-monitoring sensor with the abilities to validate it's own sensor elements / pin point
faulty element / compensate for fault using machine learning and finally predicting statistically faults before they occur so that the sensor may be replaced before it fails


Lancaster University · Teaching Assistant

I have assisted in teaching first year computer science students Digital Innovation course in which the students were taught how to use Arduino microcontrollers and build electronic devices using
the Shrimp-Kit.