The key element of this year Summer School program student’s projects. These projects are based on real-life problems, proposed by representatives of cities, companies, organizations, citizens and researchers that will supervise and consult students during their work in the multidisciplinary teams. The participants will be provided with necessary tools to accomplish their projects. The project teams will present their results publicly at the end of the School.

Stream	Code	Project title & supervisor(s)	Team
ACS	P1	Using Neural Networks for Diabetic Retinopathy Detection in Eye Images - Dmytro Fishman	Artem Bachinskyi (CNS) Denys Frolov(CNS) Andrii Gorbenko (ACS) Yura Toma (ACS)
SC	P2	Smart Career Planning and Skill Development via Personal Analytics - Oleksandr Romanko	Alexander Kharchistov (SC) Anastasiia Lisogor (SC) Anastasiia Matviichuk(SC) Mariia Metelytsia (SC) Anna Pipko (SC) Artem Rys (SC) Hanna Shvedova (SC) Nikita Tokovenko (SC)
CNS	P3	Plasticity of Neural Circuits and Neurobiology of Learning - Jenia Jitsev	Nikita Homitsevich (CNS) Nikolay Tsutsarin (CNS) Eugeniia Krivenko (CNS) Anatolii Stegnii (CNS) Daniel Zots (CNS)
3D	P4	Creating a virtual reality object - Dmytro Biriukov	Nataliya Aronovych (3D) Volodymyr Novikov (3D) Sergii Orlenko (3D) Nicola Smania (3D) Ihor Voinalovych (3D) Anna Zaiats (3D)
ACS	P5	Content-based Image Recommendations for Online Social Networks - Dmytro Karamshuk	Viktor Kifer (ACS) Anastasiia Nimets (ACS) Andrii Turchyn (ACS)
CNS	P6	Modeling neuronal networks for metric representation of space and spatial navigation - Andrey Stepanyuk	Yuriy Mykolovych (3D) Marina Oblovatska (CNS) Eirini Riti (CNS)
ACS	P7	Multimodal Neural Language Models - Sergii Gavrylov	Tamila Krashtan (ACS) Roman Shaptala (ACS) Volodimir Skorik (CNS) Vadim Yanko (ACS)
SC	P8	Improvement of Traffic Signaling System Data Management: a Case Study of Kyiv - Anton Hagen	Taras Khalymon (SC) Jonathan Napp (SC) Mariia Naumenko (SC) Oleksandr Rak (SC) Oleg Skrebtsov (SC)
CNS	P9	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	Sara Gómez Arnaiz (CNS) Bernhard Schulz (CNS) Marharyta Semenikhina (CNS)
3D	P10	The concept of industrial design - Alexander Nesterenko	Volodymyr Dudko (3D) Kateryna Semyroz (3D) Igor Statsiura (3D) Misha Vorona (SC)
ACS	P11	Linear Systems. Analysis of Complex Nonlinear Data Sets and Model Development. Meta Modelling vs Mechanistic Modelling - Serge Gale	Narayan Jatinder Bhatia (3D) Anna Melnykova (ACS) Oleksandra Shkorinova (ACS) Vitya Sobol (ACS) Vladyslav Sydorov (ACS)
CNS	P12	Computational Models of Pitch Perception - Vincent Adam	Alexandr Khapilin (CNS) Kostiantyn Lapchevskyi (CNS) Kamila Levchenko (CNS) Florian Schäfer (ACS) Marko Tešić (CNS)
SC	P13	Air solar collector - Andrii Zakovorotnyi	Andrii Lapiuk (3D) Oleksandr Melnik (SC) Iryna Sagaidak (SC) Mykhaylo Yakovets (SC)
ACS	P14	Harvesting information from video surveillance systems - Andrey Lyubonko	Anton Chernyatevich (ACS) Oleksandr Chumak (ACS) Maksym Del (ACS) Andrii Osipa (ACS)
CNS	P15	Muscle-computer interface for neurorehabilitation purposes - Bohdan Kolomiiets, Arsen Savchuk, Ivan Seleznev	Maryna Borovyk (CNS) Elisa Cappio Barazzone (CNS) Moritz Moroder (3D)
CNS	P17	Brain-Computer Interface - Dorottya Cserpan	Liudmyla Androsiuk (CNS) Ivan Chernuha (CNS) Felicitas Josephine Detmer (CNS) Alona Sosedko (CNS) Lucia Hraskova (CNS)
SC/3D	P18	3D printing of heat pipes - Sergii Khairnasov	Lana Blaschke (CNS) Artem Chmeruk (3D) Svitlana Medoeva (ACS) Mykhailo Tolkachov (CS)
ACS	P19	Normalization of Noisy Text - Vsevolod Dyomkin	Andrii Bugai (ACS) Jakob Etzel (ACS) Alexey Shmalko (CNS)
SC	P20	Sustainable Campus:PR - Alana Lajoie-O'Malley, Kyle Macdonald, Liudmyla Pavlenko	Tetyana Karpenko (SC) Irina Krotova (SC) Dmytro Rumiantsev (SC) Alisa Zubko (SC)
SC	P21	Sustainable Campus: Engineering - Alana Lajoie-O'Malley, Kyle Macdonald, Liudmyla Pavlenko	Oleksandra Kravets (SC) Kyle Macdonald (SC) Andrii Skrobach (SC) Yuliia Zalomaikina (SC)
ACS	P22	Ukrainian trends: identifying significant words in news articles - Vsevolod Dyomkin	Vitaly Brevus (ACS) Bogdan Grigorovich (ACS) Vadim Stetskiy (ACS) Maksym Vasylenko (ACS)
ACS	P23	Satellite Image Processing - Alexey Leonov	Alina Bazhura (ACS) Andriy Melnyk (ACS) Francesca Ortolani (ACS) Vlad Yushchenko (SC)

Project fair

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.