Assoc. Prof. ELİF VURAL

2015 - Continues Assistant Professor

Graduate Seminars

Seminar

Probability and Stochastic Processes

Engineering Design I

Signals and Systems 1

ENGINEERING DESIGN II

Signals and Systems II

JOINT LEARNING OF GRAPH PROCESSES AND GRAPH TOPOLOGIES FOR TIME VERTEX SIGNAL ESTIMATION

REPRESENTATION LEARNING BASED DOWNLINK CHANNEL COVARIANCE MATRIX ESTIMATION FOR FDD MASSIVE MIMO

Estimation of partially observed graph signals by learning spectrally matched graph dictionaries

Locally stationary graph processes

Estimation of time varying graph signals with graph arma processes

ESTIMATION OF PARTIALLY OBSERVED MULTIPLE GRAPH SIGNALS BY LEARNING SPECTRALLY CONCENTRATED GRAPH KERNELS

Multi-modal learning with generalizable nonlinear dimensionality reduction

Vural E. (Advisor)

S.KAYA(Student), Postgraduate, 2019

Dictionary learning for efficient classification with 1-sparse representations

VURAL E. (Advisor)

E.ENGİN(Student), Postgraduate, 2018

Nonlinear supervised dimensionality reduction via smooth regular embeddings

VURAL E. (Advisor)

C.ÖRNEK(Student), Postgraduate, 2018

Domain adaptation on graphs by learning aligned graph bases

VURAL E. (Advisor)

M.PİLANCI(Student), Postgraduate, 2018

Clustering of manifold-modeled data based on tangent space variations

VURAL E. (Advisor)

G.GÖKDOĞAN(Student), Postgraduate, 2017

Spectral graph based approach for analysis of 3D LIDAR point clouds

ALATAN A. A. (Co-Advisor), VURAL E. (Co-Advisor)

E.BAYRAM(Student), Postgraduate, 2017

DIM POINT TARGET TRACKING IN INFRARED IMAGE SEQUENCES WITH LOW SNR

VURAL E. (Advisor)

Z.SELİN(Student), Postgraduate, 2016