With a wide experience on developing methods for knowledge extraction from data and introducing autonomy, including for UAVs, human-robot interactions, Prof. Lyudmila Mihaylova is leading a strong team with activities part of the Automatic Control and Systems Engineering (ACSE) and Sheffield Robotics at the University of Sheffield. Her expertise is in the areas of machine learning, autonomous systems: for sensing, tracking, navigation, decision making and with a variety of data from optical, thermal images, radar, LiDAR sensors, wireless networks and others. With her team she develops trustworthy methods that are able to quantify the impact of uncertainties, especially from the sensor data, environment, system dynamics and other factors influencing AI solutions.

She is Associate Editor-in-Chief for the IEEE Transactions on Aerospace and Electronic Systems, Senior Editor for the Target Tracking and Multi-sensor data Fusion area since 2021, and a Subject Area Editor for the Elsevier Signal Processing Journal since 2022. She is a guest Editor for a special issue for Frontiers of Robotics and AI (2022023). She won the Tammy Blair best award from the International Conference of Information Fusion 2017, best paper awards from the IEEE DESSERT’2019, 17th IEEE SPA’2013 Conference and IEEE Sensor Data Fusion Workshop, 2013, best student paper award from IEEE MFI 2021, IEEE ICMA’ 2023 and others.

She was the president of the International Society of Information Fusion (ISIF) from 2017 to 2018. She is on the Board of Directors of ISIF. She has been serving for organising conferences – as the general vice chair of UKCI’2022, a program chair for the International Conference on Information Fusion, Fusion 2022, technical chair for Fusion 2021, publicity chair for IEEE MFI’ 2021 and UKCI 2021. She was the general vice-chair for the International Conference on Information Fusion 2018 (Cambridge, UK), of the IET Data Fusion & Target Tracking 2014 and 2012 Conferences, publications chair for ICASSP 2019 (Brighton, UK) and others.

Additional Information

Google scholar page: https://scholar.google.co.uk/citations?user=-tI15hMAAAAJ&hl=en