Ms. Nadija Imamović, a second cycle student of the Architecture study program, will defend her Master’s thesis titled "Reconstruction of Central Bus Station with Innovation and Accompanying Facilities - Focused on the Central Bus Terminal in Sarajevo".  

Mr. Semir Smajić, a second cycle student of the Architecture study program, will defend his Master’s thesis titled "HOLISTIC APPROACH TO URBAN REGENERATION OF SARAJEVO CENTRAL RAILWAY STATION AREA AND ITS SURROUNDING".  

Ms. Una Tutić, a second cycle student of the Architecture study program, will defend her Master’s thesis titled "Exploring the Impact of Architecture on the Spatial Perception in Museum and Exhibition Settings".

In the second phase of the DeepGreenInno project, a public showcase of our mentored students' thesis defenses will be presented. This event is open to everyone and will feature insights from company representatives.

Within the scope of MONKS project, the dissemination of project results is planned as one of the project activities. The dissemination is open to public and a PhD candidate, Mr. Abas Sezer, MSc will present the results obtained through the project work packages.

Mr. Amel Ramdedović, a second cycle student of the Electrical Engineering and Electronics study program, will defend his Master’s thesis titled “Establishment of the Experimental Set Up for the DOB and PI Control of the Doubly Fed Induction Generator".  

Ms.

Ms. Aiša Galijatović, a second cycle student of the Genetics and Bioengineering study program, will defend her Master thesis titled “INVESTIGATING THE APPLICATIONS OF PYROPHYLLITE IN CELL CULTURE SYSTEMS".  

Ms. Adna Hrapović, a second cycle student of the Genetics and Bioengineering study program, will defend her Master thesis titled “APPLICATION OF PYROPHYLLITE, TITANIUM DIOXIDE AND UV LED LIGHT FOR ENHANCED DISINFECTION".  

Mr. Victor Doma, a second cycle student of the Computer Science and Engineering study program, will defend his Master thesis titled “CLASSIFICATION OF STUDENT STRESS LEVELS USING A HYBRID MACHINE LEARNING APPROACH".