ABOUT ME

Who I am and what I can do for you

Ioannis Mamalikidis

M.Sc graduate in Computer Science / Informatics

I’m a M.Sc graduate in Computer Science from the Aristotle University of Thessaloniki. I’m currently collaborating with the STA.IN.S research group on statistical methods for software cost prediction, developing software with Graphical User Interfaces with the R and VB.NET Languages.

I have 10 years of experience in software and web development. Within the last few years I have collaborated with the Hellenic Electricity Distribution Network Operator, the Aristotle University of Thessaloniki and the Statistics & Information Systems Group.

Graduate Thesis: Abstract Only, Master’s Thesis Paper, Presentation

Undergraduate Thesis: Abstract Only, Thesis Paper, Presentation

Greek edition

Amongst my collaborations

01.

Software development

Microsoft Visual Studio .NET (C#, C++, VB.NET), R, R Shiny, Python, and Xamarin.

02.

Web development

Front end and back end development, including HTML, CSS, JQuery, CMS (WordPress, Contao).

03.

Machine learning & AI

Modelling algorithms, supervised and unsupervised learning on .NET, R, Python, and WEKA.

04.

Big Data analysis & SNA

Social Network Analysis, Knowledge Acquisition, Graph Visualisation, SQL and NoSQL technologies.

05.

Statistics

Descriptive Statistics, Statistical Inference, Correlation, Factor and Discriminant Analysis, Regression and Clustering on SPSS and R.

06.

Data Mining

Big data & information retrieval from the web, NPL, Topic Detection, ease using REST APIs, NoSQL (MongoDB/JSON).

PORTFOLIO

A showcase of my work

If you’re interested in starting a new project with me, do reach out, or browse through my products.

All Products

RESEARCH

My most prominent work

Published papers and university work

Browse through my most prominent research papers on the subjects of machine learning, statistics, and more.
A Graphical User Interface Tool for Visual Hypothesis Testing of Cost Prediction Models.
A framework for comparing multiple cost estimation methods using an automated visualization toolkit.
Machine Learning methods for the analysis of data of an Electricity Distribution Network Operator.
A MIML photo classification problem reduced to a SIML one to infer restaurant traits from their respective photos.
All Research

StatREC

VIEW PRODUCT

A Graphical User Interface Tool for Visual Hypothesis Testing of Cost Prediction Models

HEDNO Oracle

VIEW PAPER

Machine Learning methods for the analysis of data of an Electricity Distribution Network Operator

CONTACT

For more information contact me.