Pavel Loskot joined the ZJU-UIUC Institute in January 2021 as an Associate Professor after being 14 years with the College of Engineering at Swansea University in the UK. He received his PhD degree in Wireless Communications from the University of Alberta in Canada, and the MSc and BSc degrees in Radioelectronics and Biomedical Electronics, respectively, from the Czech Technical University of Prague in the Czech Republic. In the past nearly 30 years, he had diverse teaching assignments, and was involved in numerous collaborative research and development projects concerning mostly wireless and optical communication systems, but also network science, computational molecular biology, renewable energy, and air transport management. He also held a number of paid consultancy contracts with industry. In 2012, he outlined the concept of interactive information discovery in a large corpora of documents akin to searching the web, which he shared to a key industry player in early 2014.
Pavel Loskot is the Senior Member of the IEEE, Member of the ACM, Fellow of the Higher Education Academy in the UK, and was in the first cohort to be awarded the Recognized Research Supervisor title by the UK Council for Graduate Education. Last year, he was elected the IARIA Fellow. In the past 20 years, he delivered over 120 talks including keynotes and plenary talks, and 18 tutorials at various international conferences. He currently serves as a Review Editor in Frontiers in Genetics, and an Editor in ICT Express. At present, he is teaching undergraduate courses in computer engineering including C and X86 assembly programming, operating systems, advanced mathematics, distributed systems, and introduction to theoretical computer science. Previously, he taught courses in digital communications, statistical inference, convex optimization, numerical methods and algorithms, and computer networks. His current research interests focus on mathematical and probabilistic modeling, and statistical signal processing and machine learning for multi-sensor and longitudinal data.
