Ahmed Elbagoury

Graduate Student

Graduate Research Assistant

Joined department: Spring 2017

Education

M.Sc, University of Waterloo, Computer Engineering (2016)

B.Sc, Alexandria University, Computer Engineering (2012)

Ahmed Elbagoury is a first year PhD student in Computer Science department at Purdue University. He is working with Prof. Jennifer Neville on deep generative models for structured data.

Elbagoury received his M.Sc in 2016 from University of Waterloo, where he was part of the CPAMI | Centre for Pattern Analysis & Machine Intelligence.

Elbagoury is broadly interested in machine learning and data mining.

Selected Publications

Ahmed Elbagoury, Rania Ibrahim, Mohamed S. Kamel and Fakhri Karray "EBEK: Exemplar-based Kernel Preserving Embedding", In IJCAI'16

Ahmed Elbagoury, Rania Ibrahim, Ahmed K. Farahat, Mohamed S. Kamel and Fakhri Karray "Exemplar-based Topic Detection in Twitter Streams", In ICWSM'15

Rania Ibrahim, Ahmed Elbagoury, Mohamed S. Kamel and Fakhri Karray. "Tools and approaches for topic detection from Twitter streams: survey" In KAIS (2017): 1-29.

Rania Ibrahim, Ahmed Elbagoury, Mohamed S. Kamel and Fakhri Karray "LVC: Local Variance-based Clustering", In IJCNN'16

Rania Ibrahim, Ahmed ElBagoury, Khaled Ammar, Mohamed S. Kamel and Fakhreddine Karray. "Real-time Detection of Topics in Twitter Streams". Book chapter in "Encyclopedia of Social Network Analysis and Mining"

Last Updated: Dec 4, 2020 2:02 PM