To distribute students among projects a project fair will be organised on August 7. Prior to this day student coordinators of your stream will ask you to estimate your skills that are relevant for the project work through filling in the skills’ forms.

The project fair will start with short project presentations made by project supervisors and/or their associates joined by brief Q&A sessions. After that each student will have to submit their preferences, selecting several projects of their interest sorted by priority.

After the voting is over program team together with supervisors and stream coordinators will perform matching procedure during which each student will be assigned to a project. As there are limitations to the size and composition for project groups, in case of projects that have got bigger number of bids than the number of places available, priority would be given to the students which skills (both submitted by students and observed by the lecturers) would fit the given project in the best way. Correspondingly the rest of the applicants will be distributed among the projects with less number of bids.

AACIMP organizing team will do its best to generate a distribution that would fit most, yet we cannot guarantee that everybody will be assigned to the project of their first priorities. As project work is one of the core activities for the learning process, the students have responsibility of accepting the assignment, joining the designated project team and delivering the project results by the end of the School.

Schedule

15.00 - 15:15 - Welcome speech, Project fair starts
15:15 - 16:35 - Pitching of the project
16:35 - 16:55 - Q&A session
16:55 - 17:00 - Voting
17:00 - 17:40 - Dinner
17:40 - 21:00 - Poster Session Start and Results of distribution are announced

Here you can learn more about projects:

P01	Using Neural Networks for Diabetic Retinopathy Detection in Eye Images - Dmytro Fishman
P02	Smart Career Planning and Skill Development via Personal Analytics - Oleksandr Romanko
P03	Plasticity of Neural Circuits and Neurobiology of Learning - Jenia Jitsev
P04	Creating a virtual reality object - Dmytro Biriukov
P05	Content-based Image Recommendations for Online Social Networks - Dmytro Karamshuk
P06	Modeling neuronal networks for metric representation of space and spatial navigation - Andrey Stepanyuk
P07	Multimodal Neural Language Models - Sergii Gavrylov
P08	Improvement of Traffic Signaling System Data Management: a Case Study of Kyiv - Anton Hagen
P09	Characteristics of spikes in different neuron models (exponential integrate-and-fire, Hodgkin-Huxley, and Izhikevich models) as fuctions of not only input (synaptic) current but input conductance as well - Anton Chizhov
P10	The concept of industrial design - Alexander Nesterenko
P11	Linear Systems. Analysis of Complex Nonlinear Data Sets and Model Development. Meta Modelling vs Mechanistic Modelling - Serge Gale
P12	Computational Models of Pitch Perception - Vincent Adam
P13	Air solar collector - Andrii Zakovorotnyi
P14	Harvesting information from video surveillance systems - Andrey Lyubonko
P15	Muscle-computer interface for neurorehabilitation purposes
P16	Creation of Ukrainian language NER system - Vsevolod Dyomkin
P17	Brain-Computer Interface - Dorottya Cserpan
P18	3D printing of heat pipes - Sergii Khairnasov
P19	Normalization of Noisy Text - Vsevolod Dyomkin
P20	Sustainable Campus: PR - Alana Lajoie-O'Malley, Kyle Macdonald, Liudmyla Pavlenko
P21	Sustainable Campus: Engineering - Alana Lajoie-O'Malley, Kyle Macdonald, Liudmyla Pavlenko
P22	Ukrainian trends: identifying significant words in news articles - Vsevolod Dyomkin
P23	Satellite Image Processing - Alexey Leonov