Curious matters
Society is built on curiosity; the drive to find answers to life’s abounding questions. This curiosity continues to fuel our brightest minds today. Cassi Camilleri talks to ALICE experiment leader Prof. Paolo Giubellino about his work at CERN and how it impacts our daily lives.
Meet the research team
Prof. Ing. Edward Gatt & Dr Ing. Owen Casha – Faculty of ICT
Physicist Dr Giacinto De Cataldo (Head of the HMPID detector) got in touch with Gatt and Casha to work on two microelectronics projects for CERN. Their first project was the O2 Project—a series of upgrades for the ALICE experiment. One of upgrades focuses on improving the Ring-Imaging Cherenkov detector (RICH), found in the HMPID detector, a device that identifies the type of electrically charged particles being emitted by the detector. The second project is the implementation of a Remotely Configurable L0 Trigger Fan-out Module for the ALICE Detector. It involves the clocking management of the ALICE detector with high precision. This research could also be used in consumer telecommunication systems, improving radio frequency circuits’ performance. Finally, Gatt is researching how to improve chip designs used to detect physical phenomena from particle collisions with the aim of making them more intelligent and power-efficient.
Kevin Napoli – Computing CERN Openlab Student
“My summer experience at CERN was remarkable. The sharing of knowledge among students and researchers was the highlight of the trip. During the openlab programme we attended lectures about security, machine learning, computer hardware, software optimisation and lots more, many of which are topics not covered at our home university. We also played a role in the ALICE experiment and I worked on my project alongside top notch computer scientists. Another positive aspect of the programme were the various trips to companies and universities in Switzerland. Being able to say that I have worked at CERN is something I will value throughout my career.”
Julia Vella – Physics CERN Summer Student
ʻThe months spent at CERN for the summer student internship programme were not only an invaluable experience, but also an insight to future potential careers for my colleagues and I. Based within the HMPID detector of the ALICE experiment, we had a six-week lecture program focused on the fundamental properties of nature. The bulk of the work we were involved in centred on implementing programming languages to process raw data from collisions into useful knowledge. Geneva provided a change of pace for us that was conducive to both hard work and extra curricular activities. Travelling across borders, visiting main projects and control centres at CERN, while also socialising with students from all over the globe, made it an all-encompassing experience not easily matched.ʼ
Josef Magri – M.Sc. Student
The HMPID takes snapshots of the faint patterns generated by the high-energy collisions, passing this information through the RICH electronics module which cleans and transforms it for analysis. Magri is working to optimise the electronic circuits and control boards to improve how data is handled. So far, he has manipulated computer processes to create parallelism, allowing for processes that previously happened one after the other to occur simultaneously. He also used high-throughput interconnects, which, when coupled with parallelism, are expected to increase data collection tenfold. Magri’s work will be combined with that of other researchers and integrated by 2020 in order to improve the detector’s accuracy, potentially revealing building blocks of matter that might have yet to be seen.
Clive Seguna – Ph.D. student
Working in close collaboration with Magri, Seguna is developing novel electronic circuitry for the CPV and HMPID detectors, that will boost the speed at which collisions are read, going from 4 kHz to 50 kHz, the speed at which the beams interact: true real time. Seguna’s research will be taken on at CERN between 2020–2023.
Initiating Alice
A magnificent feat of engineering, the LHC goes where no other machine has gone before.
Continue readingFurther down the rabbit hole
The European Organisation for Nuclear Research—CERN—is synonymous with the world’s brightest minds, cutting-edge research and groundbreaking discoveries. Lars Lorenz interviews Dr Kevin Vella (Faculty of ICT) about the University of Malta’s involvement at CERN and its game-changing tech contribution to the ALICE experiment.
Let it shine
Malta has a target: by 2020, 10% of the generation of energy should come from the renewables. Luckily, there is a resource which is available almost every third hour a year—sunshine. Dr Ing. Maurice Apap and Ing. Jurgen Bonavia explain how the solar energy can be harvested. Words by Tuovi Mäkipere.
Attacking the silent epidemic of diabetes
Diabetes prevalence is burgeoning on a global scale. In 2012, 1.5 million people worldwide died as a direct result of the disease, cementing it as an epidemic. By 2030, diabetes is expected to become the world’s seventh leading cause of death. With 12% of the Maltese population suffering from the disease, a research team has come together looking into new methods of detection to stop the disease in its tracks. Words by Yasmine Gatt.
Politics, policy and risky business
As a child, Prof. Noellie Brockdorff was fascinated by the robots that inhabited the world of Isaac Asimov’s novels. She wanted to know why humans are different to robots. So why are human beings not perfectly rational creatures like robots? Dr Claude Bajada finds out more.
Using Muscle Activity To Control Machines
Independent living is important to everyone. However, it is a known fact that there are many cases where physical problems prevent people from living without care. To help people regain some independence in their lives there are systems such as Human to Machine Interfaces (HMI). Systems such as these work by using biosignals like Electromyographic (EMG) signals that can be used to control assistive devices. However, some have their drawbacks: prosthetic arms, for instance, are one commonly used device that are at times abandoned due to a lack of dexterity and precision.
The problem is that most of these devices make use of sequential control, where only one function can be articulated at a time— meaning fluid, life-like motions are impossible. Now, most daily activities need simultaneous movement with multiple degrees of freedom. And it is this need that is pushing the creators of these devices to create simultaneous control to mimic real life movements.
Christian Grech (supervised by Dr Tracey Camilleri and co-supervised by Dr Ing. Marvin Bugeja) has developed a system which allows the control of the position of a robotic arm by using the muscle activity of a person. This consists of an HMI which continuously provides the shoulder and elbow joint positions using surface muscle movements. Grech tested the model to develop more freedom, which would lead to fluid movements. He investigated three types of system identification methods (state space models, linear regression models, and neural networks) to develop this relationship between muscle activity and corresponding joint angles. Additionally, seven different movements were tested in real-time using a robotic arm. Grech managed to develop a model that allows prosthetic arms to be used more naturally.
Of course, more research is needed to perfect this device. Ideally it would operate without delay and with minimal user discomfort. The Department of Systems & Control Engineering is carrying out more research to continue to improve the accuracy and robustness of such myoelectric (EMG) controlled devices.
This research was carried out as part of a Bachelor of Engineering degree at the Faculty of Engineering, University of Malta.
Giving back to the research community
Wilfred Kenely, the Research Trust (RIDT) CEO, speaks to THINK about new initiatives coming to fruition thanks a new scheme.