Master's theses
2024
In 2024 the following theses were defended:
- Yuliia Siur (Eesti Energia)
Prosumerite netotarbimise prognoos: mõõtmata enesetarbimise ja ilmaennustuse mõju
Prosumer Net Consumption Forecasting: The Impact of Behind-the-Meter Self-Consumption and Weather Forecast
Supervisor(s): Novin Shahroudi, Jean-Baptiste Scellier - Mert Bektas (Swedbank)
Meetod realistlike sünteesitud rahatehingute genereerimiseks
An Approach for Generating Realistic Synthetic Transaction Data
Supervisor(s): Amnir Hadachi, Alexander Jöhnemark, Jolanta Goldsteine - Tiit Vaino (Reach-U)
Anomaaliate tuvastamine mobiilsidevõrgus CDR-põhistes trajektoorides
Anomaly Detection in CDR-Based Trajectories of the Mobile Cellular Network
Supervisor(s): Amnir Hadachi - Pavlo Pyvovar (Bolt)
Lühiajaline liikluse prognoosimine, kasutades taksoandmetel graafilisi närvivõrke
Short-term Traffic Forecasting Using Graph Neural Networks on Taxi Data
Supervisor(s): Amnir Hadachi, Joonas Puura - Gulnar Mammadli (Pipedrive)
GitHub Actions toimingute kompileerimine datalogi
Compiling GitHub Actions Into Datalog
Supervisor(s): Bruno Rucy Carneiro Alves de Lima, Mykhailo Dorokhov - Taaniel Saarnik (Pipedrive)
Tööstuslikus andmelogimootoris Futamura esimese projektsiooni kasutamine suuremahulise reeglite paralleelsuse saavutamiseks
Leveraging the First Futamura Projection for Large-scale Rule Parallelisation in an Industrial Datalog Engine
Supervisor(s): Bruno Rucy Carneiro Alves de Lima, Mykhailo Dorokhov - Farida Rustamova (SEB)
Finantsteenuste kohandamine – andmepõhine lähenemine
Financial Service Customization - A Data-Driven Approach
Supervisor(s): Fredrik Payman Milani
2023
- Amey Chandrakant Darekar (Pipedrive)
Järgmiste parimate meetmete ennustamine Pipedrive’i klientide müügimõõdikute parandamiseks
Predicting Next Best Action(s) To Improve Sales Metrics For Pipedrive Customers
Supervisor(s) Mahmoud Kamel Akila Soliman Shoush - Artjom Vargunin (Eesti Energia)
Elektri kulu vähendamine tarbimise ennustusega PV prosumerite jaoks
Reducing Electricity Cost for PV Prosumers by Load Forecast
Supervisor(s) Kristjan Eljand, Novin Shahroudi - Kirill Grjaznov (Telia)
Päikesepaneelide tootlikkuse ennustamine
Prediction of Solar Panels Productivity
Supervisor(s) Meelis Kull, Janika Aan - Mart Traagel (Pipedrive)
Deterministlike ja graaf-närvivõrgu põhiste RDFS-i materialiseerimismeetodite võrdlev analüüs
Comparative Analysis of Deterministic and Graph Neural Network Based RDFS Materialization Methods
Supervisor(s) Bruno Rucy Carneiro Alves de Lima
2022
In 2022 the fourth intake of the Industrial Master’s Programme graduated. Three master's theses were defended:
- Richard Nõmm: Optimizing Processes for Timber Company Using Data Science
Partner organizations: Barrus, Columbus
Supervisors: Anna Aljanaki, Kristen Pugi, Vaido Otsar - Alo Aasmäe: Benefit Prediction of Buying Customer Relationship Management Features of Pipedrive
Partner organization: Pipedrive
Supervisor: Gamal Elkoumy, Roland Kriibi - John-William Mukose: Heat Pump Detection from Household Electricity Consumption Using Different Machine Learning Classifiers
Partner organization: Eesti Energia
Supervisors: Kallol Roy, Kristjan Eljand
In 2021 the third intake of the Industrial Master’s Programme graduated. Seven master's theses were defended:
- Brandon Christopher Autrey: Customer Journey Analysis at Pipedrive: A Process Mining Approach
Partner organization: Pipedrive
Supervisors: Marlon Dumas, Ambar Raj - Gunel Ismayilova: Adopting Devops Practices: A Case Study
Partner organization: Singularity Creations
Supervisors: Ezequiel Scott, Madis Kapsi - Karmen Kink: Classification of E-Commerce Products Based on Textual Product Descriptions
Partner organization: STACC
Supervisors: Kairit Sirts, Karl-Oskar Masing - Taavi Luik: Designing a Pharmacogenetic Test as a Medical Software Device
Partner organization: UT Bioinformatics research group
Supervisors: Sulev Reisberg, Kersti Jääger - Ida Maria Orula: The Process of Creating a Scientific Knowledge Base for Pharmacogenetic Testing
Partner organization: UT Bioinformatics research group
Supervisors: Sulev Reisberg, Kersti Jääger - Aleksander Parelo: Development of a Virtual Printer and Print Driver for Print in City
Partner organization: Overall
Supervisors: Urmas Tamm, Meelis Roos - Tetiana Shtym: Traffic Light Detection by Fusing Object Detection and Map Info
Partner organization: Bolt / UT Autonomous Driving Lab
Supervisors: Tambet Matiisen, Meelis Kull
In 2020 the second intake of the Industrial Master’s Programme graduated. Five master's theses were defended:
- Kerstin Äkke: Snow Cover Detection in Estonia from SAR Images Using Machine Learning Methods
Partner organization: Datel
Supervisors: Viacheslav Komisarenko, Anti Gruno - Alar Leemet: Hackathons for Corporate Innovation – a Longitudinal Study
Partner organization: Pipedrive
Supervisor: Alexander Nolte - Kiryl Lashkevich: Improving Agile Processes with Customized Mission-based Practices. Case Study
Partner organization: Pipedrive
Supervisors: Fredrik Payman Milani, Mario Ezequiel Scott - Laura Ruusmann: Comparison of Category-level, Item-level and General Sales Forecasting Models
Partner organization: STACC
Supervisors: Marlon Dumas, Eerik Muuli - Mohammad Mahdi Mohebbian: Real-Time Event Detection System for Mobile Data
Partner organization: Positium
Supervisors: Amnir Hadachi, Erki Saluveer
In 2019 the very first intake of the Industrial Master’s Programme graduated. Four master's theses were defended:
- Maksym Semikin: Jointly Tackling User and Item Cold-start with Sequential Contentbased Recommendations
Partner organization: STACC
Supervisors: Tambet Matiisen, Carlos Bentes - Simona Micevska: A Statistical Drift Detection Method
Partner organization: Reach-U
Supervisors: Sherif Sakr, Toivo Vajakas - Oleksandr Shvechykov: Scaling Up a Software Product: The Journey of Pipedrive
Partner organization: Pipedrive
Supervisor: Marlon Dumas - Margarit Shmavonyan: Improving Application Lifecycle Management at Swedbank: A Case Study
Partner organization: Swedbank
Supervisors: Fredrik Payman Milani, Margus Melsas