Reza Ramezani - Big Data UI

Assistant Professor

Bio

Reza Ramezani has received the B.Sc. and M.Sc. degrees in computer engineering from Shiraz Faculty of Engineering and Isfahan University of Technology, Iran, in 2010 and 2012, respectively. Since 2014, he collaborates with the Departamento de Computadores y Automatica (DACyA), at the Universidad Complutense de Madrid (UCM), Madrid, Spain. He received the degree of Ph.D. of Software Engineering from the Department of Computer Engineering, Ferdowsi University of Mashhad (FUM), Mashhad, Iran in Jan 2017. Reza is currently an Assistant Professor at the Department of Software Engineering, University of Isfahan (UI), Isfahan, Iran.

Publication

His publications include many international journal and confrence papers and His main research area includes natural language processing, data mining, and semantic web.

Teaching

Reza Ramezani taught computer engineering courses at Bachelor’s, Master’s, and Doctoral levels at the university of Isfahan during the last decade. his latest courses are Advanced Programming, Object Oriented Development, and Data Mining.

Students:

Ph.D	M.Sc.	Advising
Abbas Shahini	Ali Abedzadeh	Mitra Isaee
Mostafa Mokhtari	Mahsa Abbaspour	Zahra Aghaei
Ali Karami	Ameneh Rahimi	Voryaa Veisi
Azadeh Mohammadi	Mahdi Koohestani	Atefeh Taheri
Elham Esmaeili	Narges Asadi
Peyman Arebi	Negin Shams
Mahyar Hassanpour	Sara Moeini
Abouzar Ghorbani	Alireza Akhavan
Noorollah Karimtabar	Mohammad Reza Tavakolian
Samar Tuama	Farzaneh Taheri
Mahdi Kiani	Marzieh Naghdi
	Azadeh Givchi
	Sepideh Saleh

Recent Papers

TITLE	YEAR
Direct Relation Detection for Knowledge-based Question Answering	2022
Graph-based abstractive biomedical text summarization	2022
A Weighted TF-IDF-based Approach for Authorship Attribution	2021
A language-independent authorship attribution approach for author identification of text documents	2021
Denoising distant supervision for ontology lexicalization using semantic similarity measures	2021
Exact and efficient reliability and performance optimization of synchronous task graphs	2021
Analytical reliability estimation of SRAM-based FPGA designs against single-bit and multiple-cell upsets	2020
A prefetch-aware scheduling for FPGA-based multi-task graph systems	2020
Mining Association Rules from Semantic Web Data without User Intervention	2020
Dynamic scheduling of task graphs in multi-FPGA systems using critical path	2020
A state-aware approach for robustness testing of embedded real-time operating systems	2019
A decomposition-based reliability and makespan optimization technique for hardware task graphs	2018
Reliability and makespan optimization of hardware task graphs in partially reconfigurable platforms	2017
Reliability improvement of hardware task graphs via configuration early fetch	2016
Estimation of Hardware Task Reliability on Partially Reconfigurable FPGAs	2016