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]  K. Aalto-Setälä, “Optimizing client selection to enhance performance in Federated Learning,” M.Sc. thesis (in progress), Aalto University.

[O2]  V. Ruuskanen, “Secure management and control of enterprise AI agents in enterprise environments,” M.Sc. thesis (in progress), Aalto University.

[O3]  A. Tolvanen, “Cross-Domain Embedding Preservation in Biological Foundation Model Distillation for On-Device Classification,” M.Sc. thesis (in progress), Aalto University.

[O4]  H. Do, “Forecasting Finnish unemployment trend based on demographic structure and government policies,” M.Sc. thesis (in progress), Aalto University.

[O5]  Y. He, “Framework for Evaluation of Retrieval-Augmented Generation (RAG) Pipelines,” M.Sc. thesis (in progress), Aalto University.

[O6]  H. Välimäki, “Generating synthetic 3D food objects for the development of automatic dietary assessment,” M.Sc. thesis (in progress), Aalto University.

[O7]  M. Malkki, “Vehicle value modelling,” M.Sc. thesis (in progress), Aalto University.

[O8]  M. Holmström, “Diagnostics, debugging and analysis tools for ML enabled 5G telecommunication systems,” M.Sc. thesis (in progress), Aalto University.

[O9]  P. Gynther, “LLM as a Judge in Healthcare,” M.Sc. thesis (in progress), Aalto University.

Completed

2026

[1]  G. Argyrou, “Byzantine-Robust and Communication-Efficient Federated Fire Detection on Edge Cameras,” M.Sc. thesis, Aalto University, Aug. 2026. (with Kudelski IoT) link video

[2]  J. Haapanen, “Anomaly Detection in Phase-Level Maritime Operational Data — A Comparative Study of Detection Methods,” M.Sc. thesis, Aalto University, Aug. 2026. (with Napa Oy) link video

[3]  B. Prágai, “Merkle Tree-based framework for verifiable, incentivized and privacy-preserving data contribution systems: A Proof-of-concept,” M.Sc. thesis, Aalto University, Aug. 2026. (with Fixmeapp AB) link video

[4]  A. Päkkilä, “Active Constraint Set Learning for Constrained Optimization,” M.Sc. thesis, Aalto University, Aug. 2026. (with Relex Solutions) link video

[5]  I. Zalesskii, “Privacy-Friendly Click-Through Rate Prediction in Programmatic Display Advertising,” M.Sc. thesis, Aalto University, Aug. 2026. (with C Wire AG) link video

[6]  A. Nygård, “Agent-System Interface Designs for Enterprise Applications: A Comparative Empirical Study,” M.Sc. thesis, Aalto University, June 2026. (with Ardoq) link video

[7]  A. von Hertzen, “Interpretability-Driven Regularization for Station-Level Weather Forecasting,” M.Sc. thesis, Aalto University, May 2026. link video

[8]  I. Viita, “Structuring Legacy Data: Classification Pipeline for Construction Industry Archives,” M.Sc. thesis, Aalto University, May 2026. link video

2025

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

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

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

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

[13]  A. Pavlyuk, “Federated learning with multi-layer perceptron for sensor drift compensation in direct-ethanol fuel cells,” M.Sc. thesis, Aalto University, July 2025. link video

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

[15]  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

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

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

[18]  T. Salminen, “Contract review with large language models,” M.Sc. thesis, Aalto University, Apr. 2025. link video

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

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

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

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

[23]  Q. Luong, “Proof of concept for FedRelax on Kubernetes: An implementation guide,” M.Sc. thesis, Aalto University, Jan. 2025. link

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

2024

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[43]  T. Kulokoski, “How well can machine learning teach humans about machine learning?,” M.Sc. thesis, Aalto University, Mar. 2024. link video

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

[45]  L. Veneranta, “Optimization of web page advertisements using contextual bandits,” M.Sc. thesis, Aalto University, Jan. 2024. (with Sanoma Media) link

[46]  J. Li, “Empirical emissions modeling using machine learning,” M.Sc. thesis, Aalto University, Jan. 2024. (with Aurobay) link

[47]  K. Izadi Garmaseh, “Frequency offset estimation using deep learning,” M.Sc. thesis, Aalto University, Jan. 2024. (with Nokia) link

[48]  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

[49]  T. Kontola, “Predicting user web behaviour with machine learning methods,” M.Sc. thesis, Aalto University, Jan. 2024. (with Columbia Road Oy) link

2023

[50]  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

[51]  J. Jäkärä, “From candles to ticks – Improving financial backtesting accuracy,” M.Sc. thesis, Aalto University, Dec. 2023. (with Aekos Trading Oy) link

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

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

[54]  G. Rivi, “Software defined networking controlled energy optimization through traffic prediction on microwave access network,” M.Sc. thesis, Aalto University, Sept. 2023. (with Ericsson) link video

[55]  Á. García Gutierrez, “Anomaly detection on osmosis trades,” M.Sc. thesis, Aalto University, Sept. 2023. (with Numia Data) link

[56]  Z. Liu, “Deep learning based method for fire detection,” M.Sc. thesis, Aalto University, Sept. 2023. (with Detectium) link

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

[58]  Z. Zhou, “Building information modeling connection recommendation based on machine learning using multimodal information,” M.Sc. thesis, Aalto University, Aug. 2023. link video

[59]  Y. Sarcheshmehpour, “Application of reinforcement learning in electrical machine design,” M.Sc. thesis, Aalto University, Aug. 2023. (with ABB) link video

[60]  L. Garcia Tejada, “Applying machine learning to forecast Formula 1 race outcomes,” M.Sc. thesis, Aalto University, Aug. 2023. link video

[61]  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

[62]  H. Wang, “Material capture and generative rendering with phenomenological reflectance models,” M.Sc. thesis, Aalto University, Aug. 2023. (with Huawei) link

[63]  G. Jiang, “Parallel training of neural networks in 6G L1,” M.Sc. thesis, Aalto University, Aug. 2023. (with Nokia) link

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

[65]  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

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

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

[68]  H. Vu, “Deep learning based mammography image segmentation,” M.Sc. thesis, Aalto University, Mar. 2023. (with Planmed) link

[69]  S. Johansson, “Classification of purchase invoices to analytic accounts with machine learning,” M.Sc. thesis, Aalto University, Jan. 2023. (with SprintIT) link video

[70]  T. Sormunen, “Pallet detection in warehouse environment,” M.Sc. thesis, Aalto University, Jan. 2023. (with Wärtsilä) link

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

2022

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

[73]  T. Rahman, “Intrusion detection system based on deep learning,” M.Sc. thesis, Aalto University, Aug. 2022. link

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

[75]  J. Lillfors, “Networked federated learning,” M.Sc. thesis, Aalto University, July 2022. link

[76]  Á. C. Barcsa-Szabó, “Feature-based approaches for ethical news personalisation,” M.Sc. thesis, Aalto University, July 2022. (with Sanoma Media) link

[77]  C. Molinero Ranera, “Multi-label classification of a hydraulic system using machine learning methods,” M.Sc. thesis, Aalto University, July 2022. link video

[78]  V. Petrutiu, “Exploring transformers and degradation methods in the super resolution field,” M.Sc. thesis, Aalto University, July 2022. (with Huawei) link

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

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

[81]  C. Ozen, “A collaborative approach for large-scale electricity consumption using federated learning,” M.Sc. thesis, Aalto University, June 2022. link

[82]  P. Prinsén, “Robust gas pressure control using neural networks,” M.Sc. thesis, Aalto University, Jan. 2022. (with Wärtsilä) link

[83]  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

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

[85]  R. Hellström, “Aspect based sentiment analysis in Finnish,” M.Sc. thesis, Aalto University, Jan. 2022. (with Crowst Oy) link

2021

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

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

[88]  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

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

[90]  K. Kutlu, “Machine learning based chaos engineering for cloud-native microservice architectures,” M.Sc. thesis, Aalto University, Aug. 2021. (with Ericsson) link

[91]  M. Leinonen, “Federated multi-task learning over networked data,” M.Sc. thesis, Aalto University, June 2021. link

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

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

[94]  Z. Mohammadi, “Better utilization of relational data in machine learning,” M.Sc. thesis, Aalto University, May 2021. (with Lamia Oy) link

[95]  T. Nguyen, “Applying machine learning to develop black-box control model of active double-skin facade,” M.Sc. thesis, Aalto University, Jan. 2021. link

[96]  P. Pyrrö, “AIR: Aerial inspection RetinaNet for land search and rescue missions,” M.Sc. thesis, Aalto University, Jan. 2021. (with Accenture) link

[97]  T. Kokkonen, “Classifying restaurant menu items with supervised learning,” M.Sc. thesis, Aalto University, Jan. 2021. link video

2020

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

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

[100]  C. Dikmen, “Application of contextual bandits models in a supervised learning setting,” M.Sc. thesis, Aalto University, Aug. 2020. link

[101]  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 video

[102]  X. Zhang, “Diagnostic and prognostic analysis optimization of field problems for EV charging stations,” M.Sc. thesis, Aalto University, Aug. 2020. (with ABB) link video

[103]  M. Mishin, “Anomaly detection algorithms and techniques for network intrusion detection systems,” M.Sc. thesis, Aalto University, Aug. 2020. (with Ericsson) link video

[104]  K. Klemets, “Forecasting hourly parking occupancy with multiple seasonalities,” M.Sc. thesis, Aalto University, Aug. 2020. (with City of Helsinki) link

[105]  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

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

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

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

2019

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

[110]  M. Torres Porta, “Anti-money laundering system based on customer behavior,” M.Sc. thesis, Aalto University, Aug. 2019. link

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

[112]  D. Baad, “Automatic job skill taxonomy generation for recruitment systems,” M.Sc. thesis, Aalto University, June 2019. (with VXT Research Oy) link

[113]  J. Eskonen, “Deep Reinforcement Learning in automated user interface testing,” M.Sc. thesis, Aalto University, May 2019. (with Ericsson) link

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

[115]  K. Karapetyan, “Process mining of automation services with long short-term memory neural networks,” M.Sc. thesis, Aalto University, Mar. 2019. (with Posti Group Oyj) link

[116]  H. Ambos, “Semi-supervised learning over complex networks,” M.Sc. thesis, Aalto University, Mar. 2019. link

[117]  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

[118]  A. Shehata, “Cellular network average user throughput-downlink prediction by machine learning,” M.Sc. thesis, Aalto University, Dec. 2018. (with Nokia) link

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

[120]  M.O. Nasir, “Supervised learning in lighting control systems,” M.Sc. thesis, Aalto University, Oct. 2018. link

[121]  D. Wu, “Unsupervised learning for lighting control system,” M.Sc. thesis, Aalto University, Oct. 2018. (with Helvar Oy) link

[122]  N. Pokhrel, “Drone obstacle avoidance and navigation using artificial intelligence,” M.Sc. thesis, Aalto University, May 2018. (with Nokia) link

[123]  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

[124]  S. Basirian Jahromi, “Compressed sensing for big data over complex networks,” M.Sc. thesis, Aalto University, Jan. 2018. link

2017 and earlier

[125]  A. Mara, “A comparative analysis of graph signal recovery methods for big data networks,” M.Sc. thesis, Aalto University, Oct. 2017. link

[126]  Y. Gao, “Graphical model selection in big data application,” M.Sc. thesis, Aalto University, Dec. 2016. link

TU Wien

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