Prof. Dr. Flora Dilys Salim

Profil

Derzeitige Stellung	Professor W-2 und Äquivalente
Fachgebiet	Sicherheit und Verlässlichkeit, Betriebs-, Kommunikations- und verteilte Systeme,Datenmanagement, datenintensive Systeme, Informatik-Methoden in der Wirtschaftsinformatik
Keywords	pervasive computing, Situation recognition, applied machine learning, context awareness, intelligent assistant

Aktuelle Kontaktadresse

Land	Australien
Ort	Sydney
Universität/Institution	University of New South Wales (UNSW)
Institut/Abteilung	School of Computer Science and Engineering

Gastgeber*innen während der Förderung

Prof. Dr.-Ing. Klaus David	Chair for Communication Technology, Universität Kassel, Kassel
Beginn der ersten Förderung	01.08.2019

Programm(e)

2019	Humboldt-Forschungsstipendien-Programm für erfahrene Forschende

Publikationen (Auswahl)

2020	Mikkel B. Kjærgaard, Omid Ardakanian, Salvatore Carlucci, Bing Dong, Steven K. Firth, Nan Gao, Gesche Margarethe Huebner, Ardeshir Mahdavi, Mohammad Saiedur Rahaman, Flora D. Salim, Fisayo Caleb Sangogboye, Jens Hjort Schwee, Dawid Wolosiuk, Yimin Zhu: Current practices and infrastructure for open data based research on occupant-centric design and operation of buildings. In: Building and Environment, 2020,
2020	Salvatore Carlucci, Marilena De Simone, Steven K. Firth, Mikkel B. Kjærgaard, Romana Markovic, Mohammad Saiedur Rahaman, Masab Khalid Annaqeeb, Silvia Biandrate, Anooshmita Das, Jakub Wladyslaw Dziedzic, Gianmarco Fajilla, Matteo Favero, Martina Ferrando, Jakob Hahn, Mengjie Han, Yuzhen Peng, Flora Salim, Arno Schlüter, Christoph van Treeck: Modeling occupant behavior in buildings . In: Building and Environment, 2020,
2020	Xianjing Wang, Flora D. Salim, Yongli Ren, Piotr Koniusz: Relation Embedding for Personalised Translation-Based POI Recommendation . In: Hady W. Lauw, Raymond Chi-Wing Wong, Alexandros Ntoulas, Ee-Peng Lim, See-Kiong Ng, Sinno Jialin Pan., In Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020): Advances in Knowledge Discovery and Data Mining; Lecture Notes in Computer Science book series (LNCS, volume 12084). Springer International Publishing, 2020. 53-64