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List of results

• Conversational AI for Reliable Insights from Industrial Telemetry (with Alfa Laval)  + (Spring 2025)
• Identification and Classification of Automotive Radar Interference using Data-driven Methods  + (Spring 2026)
• Machine Unlearning Faithfulness with XAI  + (Spring 2026)
• Knowledge graphs 4 XAI in Healthcare  + (Spring 2026)
• Timeseries XAI in Cybersecurity and Industry  + (Spring 2026)
• Captioning Engine for AD/ADAS data using Multi-Modal Large Language Models  + (Spring 2026)
• Security Vulnerabilities in Multi-Model Computing-in-Memory Systems  + (Spring 2026 (Jan–Jun))
• Profiling ML Side-Channel on CiM for Input Reconstruction  + (Spring 2026 (Jan–Jun))
• AGENTIC-AI TOWARDS INTERPRETATION OF SERVICE CANVAS AND AUTOMATION OF TRUSTWORTHY ML-PIPELINES  + (Start 2025 Autumn)
• Semantic Analysis of 2D Maps With a Metric-Topological Approach  + (Start: February 2014, End: June 2014)
• Obstacle Identification from 3D Data for AGVs in a Warehouse Environment  + (Start: February 2014, End: June 2014)
• Article Identification for Inventory List in a Warehouse Environment  + (Start: February 2014, End: June 2014)
• NOMAD  + (The project should be done during the spring of 2014 and finished in late May. Ideally, the student(s) should start before the end of 2013.)
• Data mining for fault diagnostics in cyberphysical systems  + (The project should be done during the spring of 2014 and finished in late May. Ideally, the student(s) should start before the end of 2013.)
• Autonomous flying drone for vehicle classification  + (VT2022)

• Developing an Intelligent Data-Driven Chatbot for Enhanced Information Retrieval and Interaction  + (VT24)
• Explainable Anomaly Detection  + (VT24)

• Exploring, modelling and optimization of home care regions  + (Winter 2016 / Spring 2017)
• A decision support system for reducing false alarms in ICU  + (Winter 2016 / Spring 2017)
• Vehicle Operation Classification  + (Winter 2016 / Spring 2017)
• Intelligible patient representation for outcome prediction of congestive heart failure patients  + (Winter 2017 / Spring 2018)
• Meta-learning for evaluation and implementation of predictive maintenance solution  + (Winter 2018 / Summer 2019)
• Resolving Class Imbalance using Generative Adversarial Networks  + (Winter 2018, Spring 2019)
• Piglets Detection and Counting using Deep Neural Networks  + (Winter 2018, Spring 2019)
• Anomaly Detection on Truck Histograms  + (Winter 2018, Spring 2019)
• Cross-Spectrum Ocular Identity Recognition via Deep Learning  + (Winter 2018, Spring 2019)
• Air Surveillance for Airport Safety Using Autonomous Vehicles  + (Winter 2018, Spring 2019)
• Comparative Study on Data Abstraction Methodologies for Interoperable V2X Roadside Units (RSU)  + (february 26 - june 26)
• Multi-robot trajectory adaptation using a state-time elastic band approach  + (tbd)
• Replacements vs repairs. What is really a breakdown from the point of view of the data?  + (winter 2018/summer 2019)