I supervise Master’s theses across machine learning, federated learning, trustworthy AI, and applied ML topics — primarily within Aalto’s Master’s Programmes in Computer, Communication and Information Sciences, Mathematics and Operations Research, Engineering Physics, Information Networks, and Life Science Technologies. Many theses are co-supervised with industry partners.

Prospective students: see Research for current group themes and reach out by email with a short note on your background and interests.

Aalto University

Ongoing

[O1]  G. Argyrou, “Federated Learning for Vision Tasks in Edge-AI Systems,” M.Sc. thesis (in progress), Aalto University.

[O2]  J. Haapanen, “Improving the quality of maritime data using artificial intelligence and machine learning methods,” M.Sc. thesis (in progress), Aalto University.

[O3]  A. von Hertzen, “Interpretability-Driven Regularization for Deep Weather Forecasting,” M.Sc. thesis (in progress), Aalto University.

[O4]  M. Holmström, “Diagnostics, debugging and analysis tools for ML enabled 5G telecommunication systems,” M.Sc. thesis (in progress), Aalto University.

[O5]  M. Malkki, “Vehicle value modelling,” M.Sc. thesis (in progress), Aalto University.

[O6]  S. Mättö, “Forecasting seasonality in financial data with machine learning methods,” M.Sc. thesis (in progress), Aalto University.

[O7]  A. Nygård, “Agent-System Interface Designs for Enterprise Applications: A Comparative Empirical Study,” M.Sc. thesis (in progress), Aalto University.

[O8]  A. Päkkilä, “Learning Active Constraint Sets with Machine Learning for Constrained Optimization,” M.Sc. thesis (in progress), Aalto University.

[O9]  I. Viita, “Automated Validation of Construction Documentation: A Machine Learning Approach Using Industry Data,” M.Sc. thesis (in progress), Aalto University.

[O10]  H. Välimäki, “Generating synthetic 3D food objects for the development of automatic dietary assessment,” M.Sc. thesis (in progress), Aalto University.

[O11]  I. Zalesskii, “Bid Optimization in Real-Time Bidding Display Advertising,” M.Sc. thesis (in progress), Aalto University.

Completed

2025

[1]  B. Zheng, “Exploring the structure in deep networks: Group, manifold and category theory,” M.Sc. thesis, Aalto University, Dec. 2025. link

[2]  V. Niemi, “Diagnosing and improving a maintenance contract churn prediction model,” M.Sc. thesis, Aalto University, Dec. 2025. link

[3]  A. Hämäläinen, “Improving retrieval-augmented generation with LLM-as-a-judge evaluation,” M.Sc. thesis, Aalto University, Nov. 2025. link

[4]  S. Monira, “FedSock & FedBlue: Scalable decentralized federated learning systems with generalized total variation minimization,” M.Sc. thesis, Aalto University, Nov. 2025. link

[5]  S. Rachidi, “Explainable machine learning in cancer survival prediction — A case study of myeloma patients,” M.Sc. thesis, Aalto University, July 2025. link

[6]  C. Fait, “Designing a data pipeline for total column greenhouse gas measurements with portable EM27/SUN spectrometers,” M.Sc. thesis, Aalto University, July 2025. link

[7]  L. Tuominen, “Robust tap gesture recognition on wearable devices with domain adaptation,” M.Sc. thesis, Aalto University, July 2025. link

[8]  O. Lauronen, “Unsupervised semantic matching of support tickets,” M.Sc. thesis, Aalto University, May 2025. (with Polycon Oy) link

[9]  E. Kohvakka, “The role of analyst sentiment in excess return forecasting, and its implications for investors,” M.Sc. thesis, Aalto University, Apr. 2025. link

[10]  A. Sarkima, “Graph-based anomaly detection: Evaluating Logs2Graphs with non-benchmark logs,” M.Sc. thesis, Aalto University, Mar. 2025. link

[11]  J. Naveed, “Optimized code generation in BIM with retrieval-augmented LLMs,” M.Sc. thesis, Aalto University, Feb. 2025. link

[12]  P. Wiwatphonthana, “Machine Learning Assisted Dynamic Scheduling for Energy Efficient Serverless Cloud Workloads,” M.Sc. thesis, Aalto University, Jan. 2025. (with Ericsson Oy) link

[13]  Q. Luong, “Proof of Concept for FedRelax on Kubernetes: An Implementation Guide,” M.Sc. thesis, Aalto University, Jan. 2025. link

[14]  P. Dang, “Model-Agnostic Personalized Federated Learning using Adaptive Client Selection,” M.Sc. thesis, Aalto University, Jan. 2025. link

2024

[15]  L. Loukamo, “The effect of language on perceived ability to understand machine learning concepts,” M.Sc. thesis, Aalto University, Dec. 2024. link

[16]  I. Tarpila, “Training Machine Learning Models for E-sports Spatiotemporal TimeSeries Forecasting,” M.Sc. thesis, Aalto University, Nov. 2024. link

[17]  I. Lahtinen, “Binary classification of invoice documents based on value added tax,” M.Sc. thesis, Aalto University, Nov. 2024. (with KPMG Oy Ab) link

[18]  R. Kausiala, “Forecasting Retail Investor Fund Flow Using Machine Learning,” M.Sc. thesis, Aalto University, Nov. 2024. link

[19]  V. Toivonen, “Determining User Preference Profiles from Email And User Engagement Data,” M.Sc. thesis, Aalto University, Oct. 2024. (with Vibemetrics Oy) link

[20]  M. Hilvo, “The effect of privacy enhancing technologies on the quality of predictive models in healthcare,” M.Sc. thesis, Aalto University, Oct. 2024. (with VTT) link

[21]  A. Bhat, “Classifying Scam E-Commerce Shops with Supervised Learning,” M.Sc. thesis, Aalto University, Oct. 2024. (with F-Secure) link

[22]  A. Rodimov, “Security system based on object tracking by video stream,” M.Sc. thesis, Aalto University, Aug. 2024. link

[23]  A. Shuianova, “Kinship verification between two people by photos,” M.Sc. thesis, Aalto University, Aug. 2024. link

[24]  J. Rantanen, “Large Language Models in Mental Health Support,” M.Sc. thesis, Aalto University, July 2024. link

[25]  R. Mård, “Backdoor attacks on large transformer-based regression model,” M.Sc. thesis, Aalto University, July 2024. link

[26]  A. Ghazal, “Zero-shot Machine Unlearning using GANs,” M.Sc. thesis, Aalto University, July 2024. (with Nokia) link

[27]  K. Nguyen, “Image Similarity Assessment for Product Quality Assurance,” M.Sc. thesis, Aalto University, July 2024. link

[28]  D. Suman, “Deep Learning Methods for Demand Time Series Forecasting,” M.Sc. thesis, Aalto University, June 2024. (with Zalando) link

[29]  A. Manninen, “Spatiotemporal Traffic Accident Prediction Using Deep Learning Models,” M.Sc. thesis, Aalto University, May 2024. link

[30]  S. Hirvonen, “Comparison of data-driven models for building energy load forecasting,” M.Sc. thesis, Aalto University, May 2024. (with VTT) link

[31]  L. Ban, “Neural Motif Counting in Uncertain Graphs,” M.Sc. thesis, Aalto University, May 2024. link

[32]  R. Virtanen, “Explainable AI Techniques in Trustworthy Object Detection,” M.Sc. thesis, Aalto University, May 2024. (with TietoEVRY Oyj) link

[33]  T. Kulokoski, “How well can Machine Learning teach Humans about Machine Learning?,” M.Sc. thesis, Aalto University, Mar. 2024. link

[34]  S. Facchini, “Prediction of fuel usage consumption in the airline industry,” M.Sc. thesis, Aalto University, Mar. 2024. (with Finnair) link

[35]  L. Veneranta, “Optimization of Web Page Advertisements using Contextual Bandits,” M.Sc. thesis, Aalto University, Jan. 2024. (with Sanoma Media) link

[36]  J. Li, “Empirical Emissions Modeling using Machine Learning,” M.Sc. thesis, Aalto University, Jan. 2024. (with aurobay.com) link

[37]  K. Izadi Garmaseh, “Frequency Offset Estimation Using Deep Learning,” M.Sc. thesis, Aalto University, Jan. 2024. (with Nokia) link

[38]  S. Chowdhury, “Computer vision-assisted safety alert system for industrial settings in private 5G networks,” M.Sc. thesis, Aalto University, Jan. 2024. (with TietoEVRY Oyj) link

[39]  T. Kontola, “Predicting User Web Behaviour with Machine Learning Methods,” M.Sc. thesis, Aalto University, Jan. 2024. (with Columbia Road Oy) link

2023

[40]  R. Siljander, “Extreme gradient boosting methods for covariate forecasting of housing market demand in Finnish postal code areas,” M.Sc. thesis, Aalto University, Dec. 2023. (with Alma Talent Oy) link

[41]  J. Jäkärä, “From Candles to Ticks - Improving financial backtesting accuracy,” M.Sc. thesis, Aalto University, Dec. 2023. (with Aekos Trading Oy) link

[42]  X. Landa Oregi, “MLOps data ingestion pipeline for reciprocal benefit between customer and provider,” M.Sc. thesis, Aalto University, Nov. 2023. (with Huawei) link

[43]  T. Brumani, “Microservices-based autonomous anomaly detection for mobile network observability,” M.Sc. thesis, Aalto University, Sept. 2023. (with Ericsson Oy) link

[44]  G. Rivi, “Software Defined Networking Controlled Energy Optimization through Traffic Prediction on Microwave Access Network,” M.Sc. thesis, Aalto University, Sept. 2023. (with Ericsson Finland) link

[45]  Á. García Gutierrez, “Anomaly Detection on Osmosis Trades,” M.Sc. thesis, Aalto University, Sep. 2023. (with Numia Data) link

[46]  Z. Liu, “Deep Learning based method for Fire Detection,” M.Sc. thesis, Aalto University, Sept. 2023. (with Detectium) link

[47]  M. Bogdanova, “Contextual bandits for staffing in consulting companies: An exploration of personalized decision making,” M.Sc. thesis, Aalto University, Sept. 2023. link

[48]  Y. Sarcheshmehpour, “Application of Reinforcement Learning in Electrical Machine Design,” M.Sc. thesis, Aalto University, Aug. 2023. (with ABB Oy) link

[49]  L. Garcia Tejada, “Applying Machine Learning to Forecast Formula 1 Race Outcomes,” M.Sc. thesis, Aalto University, Aug. 2023. link

[50]  C. Segercrantz, “Experimental evaluation of record linkage algorithms in a secure banking environment,” M.Sc. thesis, Aalto University, Aug. 2023. (with Nordea Bank Oyj) link

[51]  H. Wang, “Material Capture and Generative Rendering with Phenomenological Reflectance Models,” M.Sc. thesis, Aalto University, Aug. 2023. (with Huawei) link

[52]  G. Jiang, “Parallel Training of Neural Networks in 6G L1,” M.Sc. thesis, Aalto University, Aug. 2023. (with Nokia Oy) link

[53]  K. Lasocki, “Deep learning for continuous symbolic melody generation conditioned on lyrics and initial melodies,” M.Sc. thesis, Aalto University, Aug. 2023. link

[54]  T. Vanhala, “Data-driven xVA exposure calculation for a portfolio of interest rate swaps,” M.Sc. thesis, Aalto University, May 2023. (with Nordea Markets) link

[55]  A. Agisheva, “Ethics in machine learning publications: Peer-review analysis using NLP methods,” M.Sc. thesis, Aalto University, May 2023. link

[56]  R. Tikkanen, “Clustering fitness tracker data to correct interdevice differences in energy expenditure estimation,” M.Sc. thesis, Aalto University, May 2023. (with Fjuul) link

[57]  H. Vu, “Deep learning-based Mammography Image Segmentation,” M.Sc. thesis, Aalto University, Mar. 2023. (with Planmed) link

[58]  S. Johansson, “Classification of Purchase Invoices to Analytic Accounts with Machine Learning,” M.Sc. thesis, Aalto University, Jan. 2023. (with SprintIT) link

[59]  T. Sormunen, “Pallet Detection in Warehouse Environment,” M.Sc. thesis, Aalto University, Jan. 2023. (with Wartsila) link

[60]  J. Himanen, “Towards a data-driven circular economy: predicting material streams in the construction industry,” M.Sc. thesis, Aalto University, Jan. 2023. link

2022

[61]  B. Fazekas, “Distractive driver behaviour detection with spiked neural networks,” M.Sc. thesis, Aalto University, Nov. 2022. link

[62]  T. Rahman, “Intrusion Detection system based on Deep Learning,” M.Sc. thesis, Aalto University, Aug. 2022. link

[63]  T. Gyabaah, “Artificial intelligence to support NFTs creation: Comparison of Machine learning algorithms to detect fraud in artwork,” M.Sc. thesis, Aalto University, Jul. 2022. link

[64]  J. Lillfors, “Networked Federated Learning,” M.Sc. thesis, Aalto University, Jul. 2022. link

[65]  Á. C. Barcsa-Szabó, “Feature-based Approaches for Ethical News Personalization,” M.Sc. thesis, Aalto University, Jul. 2022. (with Sanoma Media Finland) link

[66]  C. Molinero Ranera, “Multi-label classification of a hydraulic system using Machine Learning,” M.Sc. thesis, Aalto University, Jul. 2022. link

[67]  V. Petrutiu, “Exploring Transformers and Degradation Methods in the Super Resolution Field,” M.Sc. thesis, Aalto University, Jul. 2022. (with Huawei) link

[68]  P. Truong, “Crown-of-Thorns Starfish detection by state-of-the-art YOLOv5,” M.Sc. thesis, Aalto University, Jul. 2022. link

[69]  Y. Huang, “Text analysis of novel coronavirus pneumonia based on federal deep learning,” M.Sc. thesis, Aalto University, June 2022. link

[70]  C. Ozen, “A collaborative approach for large-scale Electricity consumption using Federated Learning,” M.Sc. thesis, Aalto University, June 2022. link

[71]  P. Prinsén, “Robust Gas pressure control using Neural Networks,” M.Sc. thesis, Aalto University, Jan. 2022. (with Wartsila Finland Oy) link

[72]  E. Hattula, “Transfer Learning Technology for Building Extraction from Orthophotos and Open-Source Data,” M.Sc. thesis, Aalto University, Jan. 2022. (with National Land Survey of Finland) link

[73]  A. Channabasaiah, “Applying machine learning methods to predict taxi pickups using historical taxi data,” M.Sc. thesis, Aalto University, Jan. 2022. link

[74]  R. Hellström, “Aspect Based Sentiment Analysis in Finnish,” M.Sc. thesis, Aalto University, Jan. 2022. (with Crowst Oy) link

2021

[75]  A. Orre, “Pedestrian movement analysis from drone perspective,” M.Sc. thesis, Aalto University, Dec. 2021. link

[76]  P. Vijayakrishnan, “Semi-supervised machine learning techniques for infant motility classification,” M.Sc. thesis, Aalto University, Oct. 2021. link

[77]  K. Ariko, “Increasing the safety in the proximity of the mobile working machines: a study of detecting people,” M.Sc. thesis, Aalto University, Oct. 2021. (with Epec Oy) link

[78]  M. Uutaniemi, “Extraction of labeled fields from images of structured documents,” M.Sc. thesis, Aalto University, Aug. 2021. link

[79]  K. Kutlu, “Machine Learning based Chaos Engineering for Cloud-Native Microservice Architectures,” M.Sc. thesis, Aalto University, Aug. 2021. (with Ericsson) link

[80]  M. Leinonen, “Federated Multi-task Learning over Networked Data,” M.Sc. thesis, Aalto University, June 2021. link

[81]  J. Seppälä, “Application of machine learning to link click predictions in Facebook Family of Apps advertising,” M.Sc. thesis, Aalto University, 2021. link

[82]  M. Afteniy, “Predicting time series with Transformer,” M.Sc. thesis, Aalto University, May 2021. link

[83]  Z. Mohammadi, “Better Utilization of Relational Data in Machine Learning,” M.Sc. thesis, Aalto University, May 2021. (with Lamia Oy) link

[84]  T. Nguyen, “Applying Machine Learning to Develop Black-box Control Model of Active Double-Skin Facade,” M.Sc. thesis, Aalto University, Jan. 2021. link

[85]  P. Pyrrö, “AIR: Aerial Inspection RetinaNet for Land Search and Rescue Missions,” M.Sc. thesis, Aalto University, Jan. 2021. (with Accenture) link

[86]  T. Kokkonen, “Classifying Restaurant Menu Items With Supervised Learning,” M.Sc. thesis, Aalto University, Jan. 2021. link

2020

[87]  I. Vikström, “Deep reinforcement learning approach for HVAC control,” M.Sc. thesis, Aalto University, Dec. 2020. (with TietoEVRY Oyj) link

[88]  D. Tokmurzina, “Road marking condition monitoring and classification using deep learning for city of Helsinki,” M.Sc. thesis, Aalto University, Oct. 2020. link

[89]  C. Dikmen, “Application of Contextual Bandits Models in a Supervised Learning Setting,” M.Sc. thesis, Aalto University, Aug. 2020. link

[90]  J. Laiho, “Recognizing Thoughts from Bioelectric Patterns? A Brain-Computer Interface with Deep Learning,” M.Sc. thesis, Aalto University, Aug. 2020. (with Accenture Liquid Studio NL) link

[91]  X. Zhang, “Diagnostic and Prognostic Analysis Optimization of Field Problems for EV Charging Stations,” M.Sc. thesis, Aalto University, Aug. 2020. (with ABB) link

[92]  M. Mishin, “Anomaly Detection Algorithms and Techniques for Network Intrusion Detection Systems,” M.Sc. thesis, Aalto University, Aug. 2020. (with Ericsson) link

[93]  K. Klemets, “Forecasting Hourly Parking Occupancy with Multiple Seasonalities,” M.Sc. thesis, Aalto University, Aug. 2020. (with City of Helsinki) link

[94]  T. Valentijn, “The Practical Applicability of a CNN for Automated Building Damage Assessment,” M.Sc. thesis, Aalto University, June 2020. (with Red Cross NL) link

[95]  T. Hämmäinen, “Clustering IoT devices for network intrusion detection systems,” M.Sc. thesis, Aalto University, May 2020. (with Ericsson) link

[96]  J. Moisala, “Optimizing the mark-up of foreign exchange derivative contracts using machine learning,” M.Sc. thesis, Aalto University, May 2020. link

[97]  J. Nieminen, “Framework for application of machine learning algorithms in telecommunications,” M.Sc. thesis, Aalto University, Mar. 2020. (with Nokia Oy) link

2019

[98]  L. Kolehmainen, “A web scraping system for extracting news articles,” M.Sc. thesis, Aalto University, Dec. 2019. (with Vainu Finland Oy) link

[99]  M. Torres Porta, “Anti-Money Laundering system based on customer behavior,” M.Sc. thesis, Aalto University, Aug. 2019. link

[100]  T. Wiro, “Market influence on purchase prices in procurement,” M.Sc. thesis, Aalto University, June 2019. (with Sievo) link

[101]  D. Baad, “Automatic Job Skill Taxonomy Generation For Recruitment Systems,” M.Sc. thesis, Aalto University, June 2019. (with VXT Research Oy) link

[102]  J. Eskonen, “Deep Reinforcement Learning in Automated User Interface Testing,” M.Sc. thesis, Aalto University, May 2019. (with Ericsson) link

[103]  A. Moskalev, “Demand forecasting for fast-moving products in grocery retail,” M.Sc. thesis, Aalto University, May 2019. (with Relex) link

[104]  K. Karapetyan, “Process Mining of Automation Services with Long Short-Term Memory Neural Networks,” M.Sc. thesis, Aalto University, March 2019. (with Posti Group Oyj) link

[105]  H. Ambos, “Semi-Supervised Learning over Complex Networks,” M.Sc. thesis, Aalto University, Mar. 2019. link

[106]  J. Kahles Bastida, “Applying Machine Learning to Root Cause Analysis in Agile CI/CD Software Testing Environments,” M.Sc. thesis, Aalto University, Jan. 2019. (with Ericsson) link

2018

[107]  A. Shehata, “Cellular Network Average User Throughput-Downlink Prediction by Machine Learning,” M.Sc. thesis, Aalto University, Dec. 2018. (with Nokia) link

[108]  O. Abramenko, “Graph signal sampling via reinforcement learning,” M.Sc. thesis, Aalto University, Nov. 2018. link

[109]  M.O. Nasir, “Supervised Learning in Lighting Control Systems,” M.Sc. thesis, Aalto University, Oct. 2018. link

[110]  D. Wu, “Unsupervised Learning for Lighting Control System,” M.Sc. thesis, Aalto University, Oct. 2018. (with Helvar Oy) link

[111]  N. Pokhrel, “Drone Obstacle Avoidance and Navigation Using Artificial Intelligence,” M.Sc. thesis, Aalto University, May 2018. (with Nokia) link

[112]  D. Koskenniemi, “Do financial networks improve the explanatory power of the Fama-French factors? A comparison of propagation algorithms on stock market returns,” M.Sc. thesis, Aalto University, Mar. 2018. link

[113]  S. Basirian Jahromi, “Compressed Sensing for Big Data Over Complex Networks,” M.Sc. thesis, Aalto University, Jan. 2018. link

2017 and earlier

[114]  A. Mara, “A Comparative Analysis of Graph Signal Recovery Methods for Big Data Networks,” M.Sc. thesis, Aalto University, Oct. 2017. link

[115]  Y. Gao, “Graphical Model Selection in Big Data Application,” M.Sc. thesis, Aalto University, Dec. 2016. link

TU Wien

[116]  B. Kausl, “Channel aware inference based on the Fisher information,” M.Sc. thesis, TU Wien, 2012. link