Ioannis E. Livieris received his B.Sc., M.Sc. and Ph.D. degrees in Mathematics from the University of Patras, Greece in 2006, 2008 and 2012 respectively. His research interests include numerical optimization, neural networks and its application in bioinformatics. He is a member of the ESDLab since 2008. See his personal web page.
Degrees
 2012: Ph.D. from Department of Mathematics, University of Patras.
 2008: M.Sc. in "Computational Mathematics & Informatics", Department of Mathematics, University of Patras, Greece.
 2006: Bachelor Degree in Mathematics (speciality in Computational Mathematics & Informatics), Department of Mathematics, University of Patras, Greece.
Dissertations
 Ph.D. Thesis: Nonlinear Conjugate Gradient Methods for Optimization and Neural Network Training. Supervisor: Professor P. Pintelas.
 M.Sc. Thesis: Performance Evaluation of Algorithms for Neural Network Training and Applications. Supevisor: Professor P. Pintelas.
 B.Sc. Thesis: Constraint Propagation Problems. Bachelor Thesis Supevisor: Associate Professor T.N. Grapsa.
Courses
Email :
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Phone : 2610 997833
Fax : 2610 997313

Forecasting stock price index movement using a constrained deep neural network training algorithm 



An improved weightconstrained neural network training algorithm 



An adaptive nonmonotone active set weight constrained neural network training algorithm 



Forecasting economyrelated data utilizing constrained recurrent neural networks 



Employing constrained neural networks for forecasting new product's sales increase 



An efficient preprocessing tool for supervised sentiment analysis on Twitter data 



Predicting secondary structure for human proteins based on ChouFasman method 



A weighted voting ensemble SSL algorithm for the detection of lung abnormalities from Xrays 



Gender recognition by voice using an improved selflabeled algorithm 



A semisupervised selftrained twolevel algorithm for forecasting students' graduation time 



Predicting anxiety disorders and suicide tendency using machine learning: a review 



Improving the classification efficiency of an ANN utilizing a new training methodology 



A new ensemble selflabeled semisupervised algorithm 



An identity relating Fibonacci and Lucas numbers of order k 



A decision support software for forecasting patient’s length of stay 



On ensemble SSL algorithms for credit scoring problem 



Improving the evaluation process of students’ performance utilizing a decision support software 



Identification of blood cells subtypes from images using an improved SSL algorithm 



An ensemble SSL algorithm for efficient chest Xrays image classification 



A descent hybrid conjugate gradient method based on the memoryless BFGS update 




