基本信息
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Career Trajectory
Bio
Zahraa Said Abdallah received the Ph.D. degree in in data stream mining and activity recognition from Monash University, Melbourne, Vic., Australia, in 2015.
After her Ph.D. degree, she conducted her postdoctoral research project in accelerating qualitative data analysis through machine learning techniques. This project is a collaboration between a Victorian company and international market leader in qualitative analysis software and Monash University’s Faculty of Information Technology. Her research interests include data stream mining, information retrieval, text mining, mobile and pervasive computing systems, mobile data stream mining, activity recognition, knowledge discovery, information retrieval, big data analytics, and information retrieval.
Dr. Abdallah’s technique for activity recognition has been ranked first in the Challenge Task in the 2011 EU OPPORTUNITY Activity Recognition Challenge. Her thesis is nominated for the Mollie Holman Award for excellence.
Research Interests
Papers共 39 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024)
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bioRxiv (Cold Spring Harbor Laboratory) (2024)
arxiv(2024)
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Natalie R Zelenka, Nina Di Cara, Kieren Sharma,Seeralan Sarvaharman, Jasdeep S Ghataora,Fabio Parmeggiani, Jeff Nivala,Zahraa S Abdallah,Lucia Marucci,Thomas E Gorochowski
Synthetic biology (Oxford, England)no. 1 (2024): ysae010-ysae010
arxiv(2024)
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EXPERIMENTAL BIOLOGY AND MEDICINEno. 24 (2023): 2514-2525
Luca A. Bennett,Zahraa S. Abdallah
ADVANCED ANALYTICS AND LEARNING ON TEMPORAL DATA, AALTD 2023 (2023): 76-91
Jonah Edmonds,Zahraa S. Abdallah
38TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, SAC 2023 (2023): 1151-1153
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