Former Researcher Assistant at IT University of Copenhagen
Neil graduated from ITU with a masters degree in Computer Science and conducts research with a focus on data management aspects of machine learning (ML). His research experience spans modern hardware in the context of machine learning, hardware accelerators, and optimizing end-to-end ML training pipelines.
Former Researcher Assistant at IT University of Copenhagen
A data scientist gone computer scientist with a special interest in machine learning pipelines and how hardware accelerators can be used across the entire pipeline. Especially, he is interested in the trade-off between energy consumption and throughput. Currently working on SoCs and embedded systems.
Former Postdoctoral Researcher at RAD team (June 2022 - September 2023).
Paul's research focuses on emerging microcontrollers to run machine learning models in decentralized networks. Before joining ITU, he was a research assistant professor in the Applied Science Department at the Universidad Tecnica del Norte (UTN), Ecuador, for seven years. At the same time, he was a part-time lecturer in the TI Department at Instituto Tecnologico 17 de Julio, Ecuador. He received his Ph.D. from the University of Salamanca in Spain in November 2020, where Prof. Vivian Lopez-Batista advised him. He has a master's degree in Data Management systems from Universidad de las Fuerzas Armadas ESPE, Ecuador (2018), and an Engineering degree in Electronics and Telecommunications from UTN (2013).
Position after RAD: Senior Computer Vision Researcher at AIMEN.
Former Postdoctoral Researcher at RAD team (August 2022 - February 2023).
Aaron was awarded the Marie Curie European Fellowship in 2020 to perform research into human-computer interaction and virtual reality in the context of large-scale data analytics. He completed his PhD in 2019 which was focused on visual access to human-sensor data in a virtual environment. Prior to this, he worked on numerous commercialisation projects funded by Enterprise Ireland (EI) and Science Foundation Ireland (SFI), where he led the design and development of application prototypes that addressed a broad range of target domains, such as reminiscence therapy, sentiment analysis, image recognition in fashion, and chronic illness.
Position after RAD: Data Visualisation and Frontend Developer at Churney.
Former Research Assistant at RAD team (January 2022 - July 2022).
Jon's research focus was on efficient data science on SoC systems.
Position after RAD: Software Developer at Solution Management ApS.
Former Reseach Assistant at RAD team (July 2019 - December 2019).
Sebastian's research focus was on scalable speech recognition systems on CPU-GPU co-processors.
Position after RAD: Ph.D. student at the Institute of Interactive Systems and Data Science (ISDS) at Graz University of Technology, Austria.
Former Reseach Assistant at RAD team (July 2019 - December 2019).
Sebastian's research focus was on scalable speech recognition systems on CPU-GPU co-processors.
Position after RAD: Ph.D. student at the Know-Center, Austria.