Prof. E.S. Lohan received an MSc degree in Electrical Engineering from Polytechnics University of Bucharest (1997), a DEA degree in Econometrics at Ecole Polytechnique, Paris (1998), and a PhD degree in Telecommunications from Tampere University of Technology (2003). She is now a Full Professor at the Electrical Engineering unit at Tampere University (former Tampere University of Technology) and a Visiting Professor at Universitat Autonoma de Barcelona (UAB), Spain (spcomnav group). She is leading a research group on Signal processing for wireless positioning (www.cs.tut.fi/tlt/pos). She is a co-editor of the first book on Galileo satellite system (Springer "Galileo Positioning technology"), co-editor of a Springer book on "Multi-technology positioning", and author or co-author in more than 250 international peer-reviewed publications, 6 patents and inventions. She is also an associate Editor for RIN Journal of Navigation and for IET Journal on Radar, Sonar, and Navigation. She is now the coordinator of the H2020 MSCA European Joint Doctorate A-WEAR (www.a-wear.eu), 2019-2022.
Fields of expertise
signal processing for wireless positioning; GNSS algorithms; wearable computing; privacy-aware indoor and outdoor localization; digital contact tracing; interference detection, mitigation, and classification; RF fingerprinting; IoT localization
Wireless positioning, UMTS/WCDMA mobile positioning, GNSS (Galileo, GPS and modernised GPS, GLONASS, Beidou), CDMA signal processing algorithms, baseband receiver processing such as acquisition and tracking, Binary Offset Carrier (BOC) modulation studies, accurate tracking in multipath channels, unambiguous acquisition of BOC/MBOC signals, sidelobe cancellation methods, wireless channel modelling, Carrier To Noise Ratio (CNR) estimators, Simulink-based models for Galileo and GPS receivers, WLAN-based positioning, cellular based positioning, user-driven Location Based Services, user surveys and statistical analysis, compressed sensing for WLAN localisation, 3D localisation and floor detection, spectrum sensing for location purposes, signals of opportunity, 5G positioning, convergence of communication and navigation signals, users mobility models, privacy and physical layer security in mobile localisation, interference detection, classification, mitigation, and localization, location-based beamforming, IoT communication and localization, communication and positioning algorthims for commercial aviation, general aviation and Unmanned Aerial Vehickes (UAVs), location-based e-health applications, industrial internet, etc.