About me
I'm an Associate Professor at the Faculty of Electronics, Telecommunications and Information Technology, within the Technical University "Gheorghe Asachi" of Iași, Romania, specializing in signal processing and machine learning.
Nicolae CLEJU, Ph.D.
Assoc. Prof.
Faculty of Electronics, Telecommunications and Information Technology (ETTI)
Technical University of Iași (TUIASI)
Latest News
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[2022 Sept-Oct] I'm a mentor in a student competition using AI to recognize old romanian texts written in Cyrillic: Inteligența artificială aplicată în descifrarea scrierilor vechi românești
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[2022 Sept] I'm a member of the Research Center for Logic, Optimization and Security (LOS) at the Faculty of Mathematics and Computer Science, University of Bucharest
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[2022 Sept] I joined the NetAlert project, using machine learning tools for detecting abnormal behavior in computer networks
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Research interests
Optimization problems, in particular related to compressed sensing and sparse coding, machine learning, applications with biomedical signals.
Bio
Dr. Nicolae CLEJU [PhD.'12, MSc.'09, BSc.'07] obtained his Ph.D. summa cum laude in 2012 from the Technical University "Gheorghe Asachi" of Iaşi, and has since joined the Faculty of Electronics, Telecommunications and Information Technology, where he now holds a position of associate professor. Dr. Cleju teaches and has taught multiple classes in signal processing, information theory, C programming and related disciplines.
Between 2014-2022 dr. Cleju has worked with Continental Automotive Romania, developing signal processing solutions for the automotive industry and, more recently, working on AI solutions for smart traffic infrastructure.
Projects
Principal investigator:
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Sparse Coding for Efficient Biomedical Signal Processing
CNCS – UEFISCDI project no. PN-III-P1-1.1-PD-2016-0127
2018-2020
Budget: 207173 lei -
Utilizarea instrumentelor de inteligență artificială în prelucrarea semnalelor biomedicale
Internal TUIASI grant, project no. TUIASI-GI-2018-0127
2018-2019 (1 year)
Budget: 10000 lei.
I have been involved as a researcher in several other research projects.
Relevant Articles
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Off-Person ECG Biometrics Using Spatial Representations and Convolutional Neural Networks
I. B. Ciocoiu and N. Cleju
IEEE Access, vol. 8, pp. 218966-218981, 2020, Q1 -
Optimized projections for compressed sensing via rank-constrained nearest correlation matrix
N. Cleju
Applied and Computational Harmonic Analysis, vol. 36, no. 3, pp. 495-507, 2014, Q1 -
Selection of network coding nodes for minimal playback delay in streaming overlays
N. Cleju, N. Thomos, P. Frossard
IEEE Transactions on Multimedia, vol. 13, no. 5, pp. 1103-1115, 2011, Q1
Full article list: Google Scholar
Links
Github home: github.com/nikcleju
Didactic site: github.com/nikcleju/Didactic