Cedric Willaume is currently in the final year of his M.Sc. (Eng.) degree in computer science at the National Graduate School of Engineering of Caen, France (ENSICAEN), specialising in image processing, sound analysis, and artificial intelligence. He has contributed to several research and innovation projects, notably in the GREYC laboratory and the Research Group in Computer Science, Image, and Instrumentation of Caen, where he worked on keystroke sound recognition, leveraging acoustic descriptors and supervised learning models. He also collaborated with Kingston University, U.K., and the company Technocomm on the optimisation of regression models to enhance the accuracy of low-cost sensors. As part of a project at Orange Innovation, he developed a physical exercise recognition system, utilising graph-based body movement analysis to identify and quantify exercise repetitions from video streams. He also worked on a project integrating GripID to secure video conferencing, implementing facial recognition techniques processed directly within the GripID system to ensure data security. His expertise includes deep learning, computer vision, and pattern recognition. He is particularly interested in methods to improve the robustness and accuracy of artificial intelligence models, as well as their integration into secure environments for real-world applications.
Bijan Mohandes received his B.Sc. in cybernetics and control engineering from the University of Reading, U.K., in 1979. Following this, he has worked as a design engineer in various capacities, as well as a sales and marketing executive in the semiconductor market over the last 40 years. He has obtained two patents in the field of power conversion. He currently works as an entrepreneur and CEO of a company designing sensing technologies for the IoT.
Jean-Christophe Nebel obtained his M.Sc. (Eng.) degree in electronics and signal processing from the Institute of Chemistry and Industrial Physics, Lyon, France, in 1992 and his Ph.D. degree in parallel programming from the University of St Etienne, France, in 1997. From 1997 to 2004, he served as a postdoctoral research associate/fellow in the computing science department at the University of Glasgow, U.K. Since 2004, he has been a permanent academic at Kingston University, London, where he holds the position of full professor of computer science. Currently, he is the director of the Knowledge Exchange and Research Institute for Cyber, Engineering, and Digital Technologies. His research focuses on artificial intelligence and machine learning, with applications including computer vision, intelligent sensing, sustainability, and bioinformatics. In 2004, Prof. Nebel was awarded the A. H. Reeve Premium by the Council of the Institute of Electrical and Electronics Engineers for a journal article detailing his and his co-authors' pioneering work in developing a 3D dynamic whole body measurement system.
Farzana Rahman is the course director for the M.Sc. in data science program at Kingston University, London, U.K. Dr. Rahman's research focuses on evolutionary genomics data science and natural crisis modelling using machine learning, deep learning, and large language models. She is actively involved in improving computational pedagogy utilising Wikipedia's knowledge base. Dr. Rahman is a participant member of the Alan Turing Institute's data study group. She is a co-chair of the International Society for Computational Biology's (ISCB) Wikipedia Committee and Editing Competition and a founding member of the ISCB publication committee. As part of her leadership role, Dr. Rahman served a 3-year term as an elected member of the Board of Directors at the ISCB. She serves as an assistant review editor of the journal 'Frontiers in genetics' and an editorial board member of 'Bioinformatics' and 'Biology Insights'.
