Departamentul Calculatoare
Str. G. Barițiu nr. 28, 400027 Cluj-Napoca, România

Director departament - Sala C9, Telefon: +40-(0)264-202389
Secretariat - Sala M04, Telefon: +40-(0)264-401221

The Computer Science Department of the Faculty of Automation and Computer Science- Technical University of Cluj-Napoca,
the Computer Science Department of the Faculty of Mathematics and Computer Science- “Babes-Bolyai” University

organize the Computer Science Students Conference 2020, on June 26, 2020. This year, the Conference will take place online, and the web address and access credentials will be communicated to all the participants immediately after the announcement of the Agenda in final form.

Students are invited to participate with original articles, which will be evaluated and selected for public presentation, as well as for further publication.
The papers must be submitted until the June 22, 2020, end of day, on the e-mail address, together with the Registration Form (see below).

The papers must respect the IEEE format, having no more than 6-8 pages, written in English.
After the evaluation process, the accepted papers will be presented according to the Program that will be announced in June 24, 2020.
Taking into account their scientific relevance, some papers will be considered for publication in scientific journals.
Contact person: Assoc. Professor, PhD Paulina Mitrea
Registration form template, to be downloaded: Registration_Form_2020


Computer Science Students Conference 2020 AWARDS

Premiul I

Sonia Teodora Cibu,  „Transformer Models Validating Commonsense Statements”

Csaszar Istvan,  „Project Map: Live call graph visualization”


Premiul II

Paul Gheorghe Motora,  „ A Solution for Detecting Fraudulent Transactions using Neural Networks”

Toderean Liana,   „Argumentative Agents in Explainable AI”


Premiul III

Radu Beche, Baila Romina-Ioana,  „COVID-19 spread forecast using a recurrent auto-encoder”

Baltatescu Maria Monalisa,  „Learning First Order Logic with Minefield game”

Bogdan Mihnea Darius,  „Predicting Structure & Clarity of software projects with Machine Learning”


Mentiune I

Bacea Dan Sebatian,  „Adversarial Graph Learning and Convolutional Neural Networks for improving diagnosis within CT and Ultrasound images”

Ciocan Oana,  “ Rating-Based Recommendation System Design Using Collaborative Filtering”


Mentiune II

Fodor Bogdan Codrut,  “Increasing Traffic Sign Recognition Performance Using Generative Adversarial Network Based Augmentation”


Mentiune III

Redeca Sergiu,  “Designing chat-bots using first order logic”