Student projects
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.