2026
- Yusif Akbarov, Optimizing Sustainability in Multimodal City Logistics Using Causal Reinforcement Learning, Bachelor’s Thesis in Industrial Engineering and Management, 2026.
- Nathan Josiah Elmido, A Reinforcement Learning Approach to Hotel Housekeeping Task Allocation Under Operational Constraints, Bachelor’s Thesis in Industrial Engineering and Management, 2026.
- Gigi Gugunava, Physics Behind Optimization – Photon Walk Algorithm: Heuristic approach for the Velocity-Dependent Travelling Salesman Problem, Bachelor’s Thesis in Industrial Engineering and Management, 2026.
- Minwoo Park, Causal Machine Learning for Retail Demand Analysis: Estimating Average and Heterogeneous Effects of Price, SNAP, Weekend, and Event Drivers: A Double Machine Learning and Causal Forest Approach, Bachelor’s Thesis in Industrial Engineering and Management, 2026.
- Omar Hasoneh, Predicting to Prioritize: A Data-Driven Model Combining Machine Learning and Integer Linear Programming for Project Portfolio Optimization, Bachelor’s Thesis in Industrial Engineering and Management, 2026.
- Salahedin Dakkuri, Beyond Prediction: A Causal Machine Learning Approach to Identifying Drivers of Remaining Useful Life Decrease in Aircraft Engines, Bachelor’s Thesis in Industrial Engineering and Management, 2026.
- Ruth Mesfin Gebregiorgis, Exploring Causal Reinforcement Learning to Enhance Sustainability in Multimodal City Logistics, Bachelor’s Thesis in Industrial Engineering and Management, 2026.
- Khai Jie Kua, Optimizing Production Planning for Circular Economy Integration: A Mathematical Modelling Approach, Bachelor’s Thesis in Industrial Engineering and Management, 2026.
- Temesgen Teshome, Designing Counterfactual Relationships for Digital Twins Use in Logistics, Bachelor’s Thesis in Industrial Engineering and Management, 2026.
- Nana Kofi Ampofo Owusu, Evaluating Feature Engineering and Prediction Horizons for Predictive Maintenance Using Machine Learning: A Comparative Evaluation of Machine Learning Models and Interpretability Trade-offs, Bachelor’s Thesis in Industrial Engineering and Management, 2026.
- Alex Edakkattukudiyil Mathew, Causal KPI Extraction with Open-Source Large Language Models for Supply Chain Resilience and Sustainability: An Automotive Industry Case Study, Bachelor’s Thesis in Industrial Engineering and Management, 2026.
- Aydin Jafarzade, CCR-LDT: A Counterfactual-Consistent Replay Framework for Decision Support in Logistics Digital Twins: A Design-Science Study with an Illustrative Logistics Scenario, Bachelor’s Thesis in Industrial Engineering and Management, 2026.
- Dushime Renatha Gatoya, Reinforcement Learning for Remanufacturing Planning: A Comparison of Q-Learning and PPO, Bachelor’s Thesis in Industrial Engineering and Management, 2026.
- Gabriel Marcano Mendez, A KPI and Constraint Ontology Framework for Sustainable Urban Logistics: A Scenario-Based Performance Analysis, Bachelor’s Thesis in Industrial Engineering and Management, 2026.
- Houssam Hassad, Prototype Anomaly Detection in Aluminum Casting Processes: HPDC, Bachelor’s Thesis in Industrial Engineering and Management, 2026.
- Jason Febriano Tannica, Process Design and Data-Supported Technology Usage as Predictors of Perceived Manufacturing Efficiency: An Employee-Level Study in Manufacturing Firms, Bachelor’s Thesis in Industrial Engineering and Management, 2026.
- Melisa Zeynep Sarisin, From Tabular Logistics Data to Causal-Ready Feature Graphs: A Hybrid Correlation- and Domain-Informed Representation Framework, Bachelor’s Thesis in Industrial Engineering and Management, 2026.
- Nazrin Mutallibova, Linking Ontology-Based Resilience and Sustainability KPIs to Causal Graphs in Automotive Supply Chain: A Proof-of-Concept Comparison with Data-Driven Causal Discovery, Bachelor’s Thesis in Industrial Engineering and Management, 2026.
- Said Piriyev, Enhancing Data Accuracy and Traceability: A Conceptual Framework for Integrating Large Language Models with ESG Knowledge Graphs, Bachelor’s Thesis in Industrial Engineering and Management, 2026.
- Leen Baydoun, Enhancing Report Generation with Large Language Models: Towards an Evaluation and Workflow Framework for Optimization of ESG Reports, Bachelor’s Thesis in Industrial Engineering and Management, 2026.
- Rakeb Alemayehu Zewge, Developing a Conceptual Framework for Using Large Language Models in Sustainable ESG Reporting: A Systematic Literature Review, Bachelor’s Thesis in Industrial Engineering and Management, 2026.
- Tschengiz Shahin-Adjerlou, Analysis of Digital Product Passports (DPPs) on Consumer Purchasing Behavior: Which Information in DPPs Matters Most? Bachelor’s Thesis in Global Economics and Management, 2026.
- Ali Hanouch, Explaining and Questioning Causal AI: An LLM-Based Approach to Explainability and Critical Evaluation, Bachelor’s Thesis in Computer Science, 2026.
- Anas Bakkoury, Prompt Decomposition Strategies for Reliable Telematics-Based Fleet Monitoring Using Llama3 and DeepSeek, Bachelor’s Thesis in Computer Science, 2026.
- Ashraya Banskota, Real-time Rice Price Forecasting using Explainable AI and Deep Learning, Bachelor’s Thesis in Computer Science, 2026.
- Bogdan Cprljakovic, Enhancing Data Quality in Jira Project Management Using RAG-Based Real-Time User Guidance, Bachelor’s Thesis in Computer Science, 2026.
- Dorian Mati, Object Detection of Surgical Equipment in Hospitals Using Explainable Deep Learning, Bachelor’s Thesis in Computer Science, 2026.
- Efrata Bayle, A Formal KPI Specification Framework And Computation Pipeline For Forest Digital Twin Systems, Bachelor’s Thesis in Computer Science, 2026.
- Elyes Chouikha, What Public Corporate Reports Reveal About Supply Chain Resilience: An Ontology-Guided Knowledge Graph Study of China+1 Electronics Manufacturing, Bachelor’s Thesis in Computer Science, 2026.
- Felipe Ribadeneira, Comparing Ante-hoc and Post-hoc explanations for transformer-based models (PatchTST): agreement between attention and SHAP feature importance, Bachelor’s Thesis in Computer Science, 2026.
- Gabil Majidov, Evaluating Prompting Strategies for Telematics-Based Fleet Sustainability Using Gemma Models, Bachelor’s Thesis in Computer Science, 2026.
- Hikmat Vugarli, Machine Learning Based Freight Market Segment Classification, Bachelor’s Thesis in Computer Science, 2026.
- Kamila Ziza, Ontology-Guided Hybrid Causal Discovery in ESG Data: Integrating Domain Knowledge from ESGOnt into Constraint-Based Causal Structure Learning, Bachelor’s Thesis in Computer Science, 2026.
- Luka Natriashvili, Safety-Constrained Causal Reinforcement Learning for CO2-Efficient Fleet Dispatching, Bachelor’s Thesis in Computer Science, 2026.
- Madina Mazhenova, Confidence-Weighted Graph Aggregation for Federated Causal Discovery: An Empirical Study, Bachelor’s Thesis in Computer Science, 2026.
- Merey Yessengaliyeva, Ontology-Guided Hybrid Causal Discovery in ESG Data: LLM-Based Development of Query Interface, Bachelor’s Thesis in Computer Science, 2026.
- Muhammad Owais Suhail, CaML-OP: Causal Machine Learning for Oncology: A Hybrid Predictive-Causal Framework for Explainable Oncology, Informed by the EU AI Act, Bachelor’s Thesis in Computer Science, 2026.
- Nana Tsignadze, Faithfulness Verification in ESG Data Extraction Pipelines: A Comparative Study of Keyword, Prompt-Based, and Fine-Tuned Language Model Approaches, Bachelor’s Thesis in Computer Science, 2026.
- Rashad Rahimzade, Improving Explainable Vehicle Telematics Analytics through Instruction, Step-Back, Rephrase & Respond, and Plan-and-Solve Prompting, Bachelor’s Thesis in Computer Science, 2026.
- Salim Eski, Plant Disease Detection Integration with Large Language Models using Explainable Artificial Intelligence, Bachelor’s Thesis in Computer Science, 2026.
- Sashwat Sharma, Benchmarking Causal Structure Extraction from ESG Reports with Open-Source LLMs, Bachelor’s Thesis in Computer Science, 2026.
- Sitta Uttangkat, Causal Impact of the 2022 KZN Floods on Rail Freight Using Synthetic Control Methods, Bachelor’s Thesis in Computer Science, 2026.
- Stefan Rares Baiasu, Beyond Accuracy: Measuring Explanation Consistency Across Machine Learning and Deep Learning Models for Electric Vehicle Battery Degradation Prediction, Bachelor’s Thesis in Computer Science, 2026.
- Sulaiman Issa, Comparative Evaluation of Causal Discovery Algorithms for Modal Shift Analysis Identifying Drivers on the NATCOR Corridor, Bachelor’s Thesis in Computer Science, 2026.
- Temuri Benidze, Pipeline for Causal Relationship Extraction from Text Using Large Language Models, Bachelor’s Thesis in Computer Science, 2026.
- Vitor Furiato Barrach, Predictive maintenance using explainable AI, Bachelor’s Thesis in Computer Science, 2026.
- Yahya Maniar, Meta-Prompting and Reasoning-Based LLM Strategies for Sustainable Vehicle Telematics Optimization, Bachelor’s Thesis in Computer Science, 2026.
- Zeynep Yurtsever, Extracting Structured Data From Unstructured ESG Reports Using Large Language Models, Bachelor’s Thesis in Computer Science, 2026.
- Mohammed Habibi Bennani, Imputing the Gaps: A Comparative Analysis of Statistical, Machine Learning, and Deep Learning Algorithms for Multivariate Time Series Imputation, Bachelor’s Thesis in Mathematics, Modeling and Data Analytics, 2026.
2025
- Pakin Veerachanchai, LLM-Augmented Auto Causal Discovery and Analysis, Master’s Thesis in Data Engineering, 2025
- Sripathy Kathiresan Tamilselvan, Evaluating Causal Inference Techniques for Energy Consumption in Hybrid Vehicles: A Comparative Study of Discovery Algorithms and Estimation Metrics, Master’s Thesis in Supply Chain Management, 2025.
- Pranjal Nagaraj Patil, Causal Inference for Predictive Maintenance: Investigating the Impact of Vehicle Mileage, Speed, and Tire Pressure on Tire Health, Master’s Thesis in Supply Chain Management, 2025.
- Mehmet Maden, Natural Language to SPARQL: Fine-Tuning LLMs for Query Generation in Preclinical Cancer Knowledge Graphs, Master’s Thesis in Data Engineering, 2025.
- Vo Thien Hai Le, The Causal Impact of Pricing Strategies on Demand Forecasting in the Airline Industry: Evaluating Traditional and Causal Machine Learning Models, Bachelor’s Thesis in Industrial Engineering and Management, 2025.
- Timothy Ross B. Cabiles, Understanding Drivers of Energy Consumption in Electric Vehicles: A Comparative Analysis of Causal Machine Learning Methodologies, Bachelor’s Thesis in Industrial Engineering and Management, 2025.
- Santiago Martinez Bravo, Digital Product Passports as a Tool for Carbon Footprint Tracking Enabling a Circular Economy Approach, Bachelor’s Thesis in Industrial Engineering and Management, 2025.
- Nehal Gamangatti, Factors Affecting Digital Product Passport (DPP) Adoption for EV Batteries: An analysis of consumers’ perspective, Bachelor’s Thesis in Industrial Engineering and Management, 2025.
- Nada Martinovic, Passenger Airport Arrival Time Optimization: A Reinforcement Learning Approach, Bachelor’s Thesis in Industrial Engineering and Management, 2025.
- Myanganbayar Naransukh, Integrating Multiple Demand Response Programs in Industrial Energy Management: A Multi-Agent Deep Reinforcement Learning Approach, Bachelor’s Thesis in Industrial Engineering and Management, 2025.
- Matias Mauricio Dávila Alarcón, Integrating Circular Economy in Production Planning: A Reinforcement Learning Approach, Bachelor’s Thesis in Industrial Engineering and Management, 2025.
- Marius Gerard Sehrbrock, Exploring Causal Reinforcement Learning to Enhance Sustainability in Multi-modal City Logistics, Bachelor’s Thesis in Industrial Engineering and Management, 2025.
- Joelle Karadsheh, Bridging Gaps in EV Lifecycle Maintenance: A Causal Machine Learning Approach to Maximize Battery Life in Electric Vehicles, Bachelor’s Thesis in Industrial Engineering and Management, 2025.
- Hilmi Tahboub, Enhancing Sustainability In Multimodal City Logistics Through Reinforcement Learning: A Mumbai Case Study, Bachelor’s Thesis in Industrial Engineering and Management, 2025.
- Dario Shandro, AI-Driven Narratives in Jewelry Design: Using Large Language Models for Consumer Insights and Storytelling, Bachelor’s Thesis in Industrial Engineering and Management, 2025.
- Chia-Chi Huang, Win Probability Estimation in Texas Hold’em: A Machine Learning Approach Based on Historical and Simulated Data, Bachelor’s Thesis in Industrial Engineering and Management, 2025.
- Ayoub Lamoudni, Enhancing Sustainability in Multimodal City Logistics through Reinforcement Learning: A Case Study of Paris, Bachelor’s Thesis in Industrial Engineering and Management, 2025.
- Alexis Andres Zaidman, Enhancing Data Sovereignty Compliance: A Framework for Secure and Standardized Data Exchange, Bachelor’s Thesis in Industrial Engineering and Management, 2025.
- Yassine Founounou, Leveraging Large Language Models (LLM) for Predicting Vehicle Component Wear and Tear, Bachelor’s Thesis in Computer Science, 2025.
- Tyrone Chong, Large Language Model for Knowledge Extraction from Cancer Datasets, Bachelor’s Thesis in Computer Science, 2025.
- Salem Bisenebit, Evaluating Causal AI Methods for Electric Vehicle Systems: A Comparative Analysis of Discovery Algorithms and Evaluation Metrics, Bachelor’s Thesis in Computer Science, 2025.
- Merin Vinod Jacob, Comparative study of causal machine learning methods (constraint-based and score-based), Bachelor’s Thesis in Computer Science, 2025.
- Meri Grigoryan, Comparative Study of Causal Discovery Methods: Neural network based approaches (Causal Neural Network Model) vs. Functional Model (LiNGAM), Bachelor’s Thesis in Computer Science, 2025.
- Matilda Milisavljevic, Causal Discovery in Federated Learning Using Synthetic Data: A Comparative Analysis of Generation Methods and Graph Fidelity, Bachelor’s Thesis in Computer Science, 2025.
- Mariia Bleze, Facilitating Federated Causal Discovery: A Python-based Implementation of FedPC Algorithm, Bachelor’s Thesis in Computer Science, 2025.
- Kais Amro, Automated Extraction of ESG Indicators from Digital Documents: A Theoretical and Applied Study of Web Scraping and Parsing Techniques, Bachelor’s Thesis in Computer Science, 2025.
- Horatiu Liviu Catarig, Blockchain and Cryptography for Preventing MITM Attacks and Data Tampering in V2X Predictive Diagnostics Systems, Bachelor’s Thesis in Computer Science, 2025.
- Elene Esakia, Transformer-Based Foundation Models for Time Series Predictive Maintenance, Bachelor’s Thesis in Computer Science, 2025.
- Chaudhry Ahmad Sardar, ESG Information Extraction from Corporate Reports: A Comparative Analysis of Fine-tuned FinBERT vs. Base FinBERT Model, Bachelor’s Thesis in Computer Science, 2025.
- Aymane Tasse, Enhancing Sustainability in Multimodal City Logistics through Reinforcement Learning, Bachelor’s Thesis in Computer Science, 2025.
- Aleksandr Martirosyan, Causal Inference in Manufacturing: A Comparison of Traditional and Machine Learning-Based Approaches, Bachelor’s Thesis in Computer Science, 2025.
- Aimee Ange Adeline Kamirwa, Enhancing Cybersecurity practices in V2X Communication through AI-Anomaly Detection, Bachelor’s Thesis in Computer Science, 2025.
- Dayanna Cecilia Picon Arevalo, Integrating Circular Economy into Production Planning: A Proximal Policy Optimization Approach, Bachelor’s Thesis in Robotics and Intelligent Systems, 2025.
- Parth Jitendra Vaya, V2X Integration Architecture for Predictive Maintenance Using Federated Learning in Connected Vehicles, Bachelor’s Thesis in Robotics and Intelligent Systems, 2025.
- Alexandra Gkragkopoulou, Comparative Analysis of ARIMA time series with the machine learning methods of LSTM and Prophet in the prediction of Green GDP, Bachelor’s Thesis in Mathematics, 2025.
2024
- Sarang Sonar, Leveraging Large Language Models for reducing the drug development cycle, Master’s Thesis in Data Engineering, 2024.
- Ramin Udash, Object detection from 3D images of digital twin assets for transport infrastructure management using an Explainable Deep Learning Approach, Bachelor’s Thesis in Computer Science, 2024.
- Mohamed Mourad Ouazghire, Explainable AI for Object Detection in 3D PointClouds, Bachelor’s Thesis in Computer Science, 2024.
- Bati Lemma Gudissa, Effective route planning using Machine Learning and Explainable AI, Bachelor’s Thesis in Computer Science, 2024.
- Ian Ruvuto Kampwanyi, Predicting train delays with Causal Machine Learning, Bachelor’s Thesis in Computer Science, 2024.
- Shubhankar Bhattarai, Efficient Routing with GTFS Data for Public Transportation, Bachelor’s Thesis in Computer Science, 2024.
- Girum Eneyew Mengistu, Conducting a Causal Analysis for Sustainable Transportation Based on a Case Study, Bachelor’s Thesis in Computer Science, 2024.
- Krishna Gautam, Impact analysis to enhance circularity in the automotive industry using causal machine learning, Bachelor’s Thesis in Computer Science, 2024.
- Ku Chul Jung, Development of Metrics to Measure the Explainability of Machine Learning Models for Digital Twin, Bachelor’s Thesis in Industrial Engineering and Management, 2024.
- Pascal Díez Dencker, Leveraging Causal Machine Learning in manufacturing: Analysis of the impacts of process parameters on power consumption, Bachelor’s Thesis in Industrial Engineering and Management, 2024.
- Isabella Marquez Petrone, Leveraging Causal Machine Learning for Enhanced Decision-Making in the Manufacturing of Customized Products, Bachelor’s Thesis in Industrial Engineering and Management, 2024.
- Urszula Anna Salwa, Predictive Maintenance of Aircraft Components: Impact of Using Explainable Machine Learning on Cost, Safety & Efficiency, Bachelor’s Thesis in Industrial Engineering and Management, 2024.
- Gorazd Velkov, Analysing Links Among Factors Driving Voluntary Carbon Offsetting through Causal Machine Learning, Bachelor’s Thesis in Industrial Engineering and Management, 2024.
- Abel Mengistu, Unlocking Circular Economy Potential: The Role of Digital Product Passports (DPP) in Enhancing Resource Efficiency throughout Supply Chain, Bachelor’s Thesis in Industrial Engineering and Management, 2024.
- Heonyoung Jeong, Causal Discovery and analysis of power consumption time series of CNC machine, Bachelor’s Thesis in Industrial Engineering and Management, 2024,
- Abrham Amanu Eshetu, Revolutionizing Mobility: Unveiling the potential of Artificial Intelligence in Cooperative, Connective and Automated Mobility (CCAM), Bachelor’s Thesis in Industrial Engineering and Management, 2024.
- Youssef Ghribi, Comparative Analysis of Traditional and AI Autoregressive Models for Enhancing Demand Forecasting, Bachelor’s Thesis in Industrial Engineering and Management, 2024.
- Syed Muhammad Ali Hashmi, Environmental Impact of Automobile Emissions Using Causal Machine Learning, Bachelor’s Thesis in Industrial Engineering and Management, 2024.
- Karim Tariq Abualrish, Digitizing Healthcare for Cost Optimization and Enhanced Patient Care, Bachelor’s Thesis in Industrial Engineering and Management, 2024.
- Yezlim Naomi Baca Morales, Exploration of Autoregressive Models in TensorFlow Through the application of energy forecasting, Bachelor’s Thesis in Industrial Engineering and Management, 2024.
- Alexa Leon, Assessment framework for software tools for building digital twins in aerospace startup environments, Bachelor’s Thesis in Industrial Engineering and Management, 2024.
- Ari Platow, Factors affecting the willingness of consumers to adopt Cooperative, Connected, and Automated Mobility: A structural Equation Modelling Analysis, Bachelor’s Thesis in Industrial Engineering and Management, 2024.
- Swaresh Suresh Divekar, The role of causal machine learning to improve decision making in Supply Chain Management, Master’s Thesis in Supply Chain Management, 2024.
- Melisa Engin, The role of digital twin in production and demand planning, Master’s Thesis in Supply Chain Management, 2024.
- Habtegiorgis Sileshi Mengistie, Comparative Analysis of Relational and NoSQL Database Solutions for Data Management for Construction Industry: A Case Study, Master’s Thesis in Data Engineering, 2024.
- Abebe Yohannes Hailemariam, Docker-based Search Engine and Analytics Infrastructure with Elasticsearch for Construction Industry, Master’s Thesis in Data Engineering, 2024.
2023
- Kritkorn Supyen, Feature detection from 3D models to extract object semantics for digital twin assets, Master’s Thesis in Data Engineering 2023.
- Chandra Shekar Srinivasaiah, Reinforcement learning for Forward Hedging: Focus on model to predict, improve and help trader make automated decisions in volatile markets, Master’s Thesis in Data Engineering 2023.
- Durga Shree Kolla, Fleet data analysis – Investigation of fleet survey data via different machine learning models to improve fatigue design assumptions, Master’s Thesis in Data Engineering 2023.
- Mohammad Tanzil Alam, Detecting data drifts in clinical NLP, Master’s Thesis in Data Engineering 2023.
- Harshitha Konduru, Design and implementation of a causal machine learning decision making framework for supply chain operations using internal supplier performance KPI’s and external event data, Master’s Thesis in Data Engineering 2023.
- Ahmet Erdem Yeniay, Explainable Artificial Intelligence (XAI) Implementation in Smart Cities Applications (Emissions or Fuel Consumption), Master’s Thesis in Data Engineering 2023.
- Abhishek Mathur, Development of database-to-ontology mapping for enhanced interoperability in materials science, Master’s Thesis in Data Engineering 2023.
- Siddhant Singh, Finding best ontology for desired text file and mapping the sentences into the ontology, Master’s Thesis in Data Engineering 2023.
- Jitesh Kumar, Explainable Artificial Intelligence (XAI) Implementation in prediction of crop yield, soil properties, and irrigation requirements, Master’s Thesis in Data Engineering 2023.
- Subash Chandra Pal, Mapping 2D images to ontology, Master’s Thesis in Data Engineering 2023.
- Ajay Ghimire, Deep Reinforcement Learning for industrial microgrid management, Master’s Thesis in Data Engineering 2023.
- Bikiran Choudhury, Explainable AI models for the final cost of product forecasting based on raw material price trend, Master Thesis 2023
- Jhealyn Samson, Mapping unstructured data types to existing ontologies, Master’s Thesis in Data Engineering 2023.
- Justin Zamora, Causal machine learning for automotive supply chain/manufacturing, Master’s Thesis in Data Engineering 2023.
- Chidambar Prabhakar Bangre, Autoregressive models using TensorFlow (Hybrid ARIMA combined with deep neural networks) for Forecasting of renewable energy data, Master’s Thesis in Data Engineering 2023.
- Adriana Martinez, Analysis of traditional machine learning vs causal machine learning for supplier escalation using multi-criteria decision-making methods in the operational supply chain, Master’s Thesis in Data Science for Society and Business, 2023.
- Tammy Siyakurima, Digital Transformation of retail organizations- Jacobs DOUWE Egberts Case Study, Master’s Thesis in Data Science for Society and Business, 2023.
- Vikas Kumar, Logistics KPI analysis for wind energy industry, Master’s Thesis in Supply Chain Management, 2023.
- Mehr un Nisa, Conceptual model of platform for digital asset management to enable cross-company collaborative digital twin development for transport infrastructure management, Master’s Thesis in Supply Chain Management, 2023.
- Ilyas Benyamna, Object detection and semantic annotation from 3D images of digital twin assets for transport infrastructure management using machine learning, Bachelor’s Thesis in Computer Science, 2023.
- Blen Assefa, How artificial intelligence can improve the management of large projects? A causal machine learning approach, Bachelor’s Thesis in Computer Science, 2023.
- Sakar Gopal Gurubacharya, Anomaly detection in building energy-saving information systems using internet of things and explainable agent-based algorithms, Bachelor’s Thesis in Computer Science, 2023.
- Rena Ibrahimova, Deep reinforcement learning for decision making in demand response system, Bachelor’s Thesis in Computer Science, 2023
- Vahid Menu Nesro, Analyzing causal machine learning trends in manufacturing, Bachelor’s Thesis in Computer Science, 2023.
- Parth Shukla, A Smart Irrigation System using Explainable AI, Bachelor’s Thesis in Computer Science, 2023.
- Suyash Thapa, Finding a strategy to trade commodities at EXAA, EPEX and EPEX-15 market using machine learning, Bachelor’s Thesis in Computer Science, 2023.
- Ainna Zafar, Measuring the level of explainability of existing machine learning methods, Bachelor’s Thesis in Computer Science, 2023.
- Urfan Alvani, Plant disease detection using supervised machine learning, Bachelor’s Thesis in Computer Science, 2023.
- Hani Alnahas, Deep reinforcement learning for Industrial task scheduling, Bachelor’s Thesis in Computer Science, 2023.
- Muhammad Saleem Zafar, Building Smart Cities of the future using the advancements in Industry 4.0 Infrastructure. A data analysis approach of the current open data repositories around the world, Bachelor’s Thesis in Industrial Engineering and Management, 2023.
- Aruzhan Nurzhumina, Knowledge graph building for artificial intelligence for better decisions in manufacturing, Bachelor’s Thesis in Industrial Engineering and Management, 2023.
- Kaleb Alemayehu, Crop yield prediction from soil properties using XAI, Bachelor’s Thesis in Industrial Engineering and Management, 2023.
- John Atanacio, The role of XAI in estimating the effect of climate change to crop yield in Germany, Bachelor’s Thesis in Industrial Engineering and Management, 2023.
- Assiya Zakay, Conceptual model of platform for digital asset management to enable cross-company collaborative digital twin development for the circular economy, Bachelor’s Thesis in Industrial Engineering and Management, 2023.
- Waleed Siddique, The role of XAI in predicting martial art athlete performance, Bachelor’s Thesis in Industrial Engineering and Management, 2023.
- Paula Meisterknecht, Identifying essential ESG drivers of the manufacturing industry in the EU using MCDM, Bachelor’s Thesis in Industrial Engineering and Management, 2023.
- Suman Thapaliya, Energy consumption and Cost prediction of customized product using data analytics or machine learning, Bachelor’s Thesis in Industrial Engineering and Management, 2023.
- Aizhan Taubayeva, Digital twin development in manufacturing and its effect on sustainability, Bachelor’s Thesis in Industrial Engineering and Management, 2023.
- Heinn Thant Zaw, An analysis of the limitations and challenges of stock performance prediction using data and machine learning, Bachelor’s Thesis in Industrial Engineering and Management, 2023.
2022
- Akarawint Chawalitanont, Power Consumption Prediction of Customised Stainless Steel Ring Products using Hierarchical Bayesian Models and Artificial Neural Networks, Master’s Thesis in Data Engineering, 2022.
- Nadhir Khoubeieb Mechai, Causal Machine Learning (CML) for Demand Forecasting of Semiconductor Products, Master’s Thesis in Supply Chain Management, 2022.
- Xiaotong Fan, Advanced Time Series Analysis for Electric Vehicle Demand Forecasting, Master’s Thesis in Supply Chain Management, 2022.
- Sayali Rajhans, Automatic Population of Sustainability Knowledge Graph using Bidirectional Encoder Representations from Transformers (BERT), Master’s Thesis in Data Engineering, 2022.
- Gaolefufa Kefilwe Mathumo, Automatic Data Preparation for Sustainability Assessment from Text Documents using Deep Bidirectional Transformers, Master’s Thesis in Data Engineering, 2022.
- Seyed Taha Raeisi, Delivery Assurance and Digitalization Utilizing Expert’s Knowledge, Internal Key Performance Indexes and Exogenous Risk Factors to Drive Operational Supply Chain, Master’s Thesis in Supply Chain Management, 2022.
- Vamsi Sai Pidikiti, Managing interoperability in the circular economy, Master’s Thesis in Supply Chain Management, 2022.
- Muhammad Abdullah Shah, Using Machine Learning to Optimize Dynamic Pricing in Production at Machine Level, Bachelor’s Thesis in Industrial Engineering and Management, 2022.
- Nurgun Rafizade, Exploration of Radial Basis Function Networks and Adaptive Network-Based Fuzzy Inference Systems for Time Series Forecasting, Bachelor’s Thesis in Computer Science, 2022.
- Hamza Hayak, Explainable AI for Crop Yield Prediction, Bachelor’s Thesis in Computer Science, 2022.
- Toska Ymerhalili, Deep Reinforcement Learning for Industrial Microgrid Management, Bachelor’s Thesis in Computer Science, 2022.
- Nguyen Duy Bao, Ensemble Learning to forecast Wind/Solar power generation, Bachelor’s Thesis in Industrial Engineering and Management, 2022.
- Carlotta Buck, Incentivising Voluntary Carbon Offsetting and its Driving Factors: Integrating Causal and Statistical Data Analysis, Bachelor’s Thesis in Industrial Engineering and Management, 2022.
- Abel Teklearegay, Ontology Matching Using Supervised Learning Techniques, Bachelor’s Thesis in Industrial Engineering and Management, 2022.
- Christopher Mclaughlan, Querying Ontologies using NLP: A Natural Language-based Query Interface to OWL Ontologies for Demand-Response System, Bachelor’s Thesis in Computer Science, 2022
- Kaleb Kristo, What social-cultural values of products make people shop online? A causal data analytics method, Bachelor’s Thesis in Industrial Engineering and Management, 2022.
- Moonkyoung Choo, Effect of Governmental Policies and Healthcare Systems on COVID-19 Hosptalization: A Machine Learning Prediction Approach, Bachelor’s Thesis in Industrial Engineering and Management, 2022.
- Karen Okoli, The Role of AI in Circular Economy: Automotive industry, Bachelor’s Thesis in Industrial Engineering and Management, 2022.
- Kezia Adesanya, Mapping JSON data to Existing Ontologies: Populating the ontologies by the Data contents using Python Libraries, Bachelor’s Thesis in Industrial Engineering and Management, 2022.
- Mariam Bukhrashvili, The impact of Covid-19 on Quality Audits The Future of pharmaceutical quality audits, Bachelor’s Thesis in Industrial Engineering and Management, 2022.
- Mohamed Ghandour, Product Portfolio Complexity Management a data-driven approach using ‘Analytical Hierarchy Process’ and the ‘Technique for Order Performance by Similarity to Ideal Solution, Bachelor’s Thesis in Industrial Engineering and Management, 2022.
- Mulisa Kevine Umwiza, The Role of Digital Twin in Sustainable Supply Chain in the Automotive Industry, Bachelor’s Thesis in Industrial Engineering and Management, 2022.
- Rauan Beibit, COVID-19 Impact on the Supply Chain Effects of the Semiconductor Shortage on the Automotive Industry, Bachelor Thesis 2022
- Stefan Krstevski, The Influence of Dynamic Electricity Price on Production Scheduling: A Mixed Integer Linear Programming Model, Bachelor’s Thesis in Industrial Engineering and Management, 2022.
- Abumansur Sabyrrakhim, Mapping SQL (Pre)-clinical Data from Cancer Radiooncology and Radiobiology Studies to Ontology, Bachelor’s Thesis in Computer Science, 2022.
- Xuchong Du, Application of GNN in supply chain for link prediction and explainability analysis, Bachelor’s Thesis in Computer Science, 2022.
- Ylva Reinhold, How Do Industry 4.0 Applications Help in Designing Sustainable Forest Management? A Conceptual Framework of IoT in Novel Sectors, Bachelor’s Thesis in Industrial Engineering and Management, 2022.
2021
- Devashis Malla Shrestha, Reinforcement Learning in Predicting Chaotic Time Series of Renewable Energy Generation, Master’s Thesis in Data Engineering, 2021.
- Atanu De, Demand Side Management of Customer Electricity Consumption, Master’s Thesis in Data Engineering, 2021.
- Alan Francisco Caraveo, ESG Assessment Framework for Airlines Industry, Master’s Thesis in Supply Chain Management, 2021.
- Sakshi Sharma, A Comprehensive Solution for Big Data Handling in Material Science, Master’s Thesis in Data Engineering, 2021.
- Ishansh Gupta, Enhancing Football Analytics using Data Science, Master’s Thesis in Data Engineering, 2021.
- Chhandosee Bhattacharya, Container Layout Optimization using Reinforcement Learning, Master’s Thesis in Data Engineering, 2021.
- Pardis Sahraei, Integration of Drones Technology and the Public Transportation System for the Last Mile Delivery by Considering Dynamic Distribution Centers, Master’s Thesis in Supply Chain Management, 2021
- Vaibhav Apraj, A Proof of Concept for an incrementally enhanced Data Quality Dashboard, Master’s Thesis in Data Engineering, 2021.
- Thanh Tuan Nguyen, Handling interoperability in dynamic electricity markets, Bachelor’s Thesis in Industrial Engineering and Management, 2021.
- Temirlan Aikenov, Energy consumption and cost prediction of customized products using data analytics or machine learning, Bachelor’s Thesis in Industrial Engineering and Management, 2021.
- Sebastian Gonzalez, Impact of Machine Learning and Natural Language Processing on Products and their Features, Bachelor’s Thesis in Industrial Engineering and Management, 2021.
- Yanny Budiaki, Reduction of food loss along the Sub-Saharan African food supply chain: The application of a sharing economy product, Bachelor’s Thesis in Industrial Engineering and Management, 2021.
- Tammy Siyakurima, How can Artificial Intelligence Improve the Management of Large Projects? Bachelor’s Thesis in Industrial Engineering and Management, 2021.
- Oumeng Xia, How COVID-19 Gives Impact to the Supply Chain of Food and Hygiene, Bachelor’s Thesis in Industrial Engineering and Management, 2021.
- Mohid Qaiser, The effect of dynamic electricity price on production planning and control, Bachelor’s Thesis in Industrial Engineering and Management, 2021.
- Korin Hoxha, Towards the Construction of a Supply Chain Management Digital Twin using Data Management and Data Analytics, Bachelor’s Thesis in Industrial Engineering and Management, 2021.
- Unai Alapont, Novel Smart Contracts Model for the Infrastructure Sector: A Design Science Research Framework, Bachelor’s Thesis in Industrial Engineering and Management, 2021.
- Egor Sarafanov, Artificial Intelligence in Project Management: What factors influence the level of AI adaptation?, Bachelor’s Thesis in Industrial Engineering and Management, 2021.
- Edmundo Cuadra, Data Analytics Approach for Penetrating the Aircraft Manufacturing Market Duopoly, Bachelor’s Thesis in Industrial Engineering and Management, 2021.
2020
- Atit Bashyal, Moving Beyond Maximum Likelihood Estimates: Application of Bayesian Inference techniques in Poverty Prediction, Master’s Thesis in Data Engineering, 2020.
- Merint Thomas Mathew, Monitoring Customer Activity and Forecasting Future Deals for Improved Customer Success Management, Master’s Thesis in Data Engineering, 2020.
- Peter-Sleiman Mansour, Supplier selection model for sustainable supply chain in low-cost robotics production, Master’s Thesis in Supply Chain Management, 2020.
- Daoyuan Ji, Collaborative Distribution Model between Logistics Service Providers and Public Transportation Operators: Investigation of parcel Movement in the Public Transit Network with Heuristics Approach, Master’s Thesis in Supply Chain Management, 2020.
- Kateryna Taran, Current state of Facilities Management industry: Development and implementation of new standards, technologies, and strategies around the world, Master’s Thesis in Supply Chain Management, 2020.
- Zayed Balout, Industry 4.0: An Empirical and Conceptual Analysis Approach t o the Implementation and Progression of Digitalization within the Construction Sector, Master’s Thesis in Supply Chain Management, 2020.
- Yousuf Farooq, Investigating the Causes of Green Skepticism and its consequences, Bachelor’s Thesis in Industrial Engineering and Management, 2020.
- Yangduojiao Shao, Time Series Demand Analysis of Common B2C Epidemic Prevention Product, Bachelor’s Thesis in Industrial Engineering and Management, 2020.
- Sebastian Reiser, Dynamic Electricity Pricing: Comparative Study of Different Forecasting Methods, Bachelor’s Thesis in Industrial Engineering and Management, 2020.
- Saurav Kedia, Carpooling in Nepal: User Perspective based on Sustainability, Bachelor’s Thesis in Industrial Engineering and Management, 2020.
- Paolo de Leon, How Industry 4.0 Secures the Future of the Shipbuilding Industry, Bachelor’s Thesis in Industrial Engineering and Management, 2020.
- Paola Cevallos, Best Practices of Digitalization within Motorsport Events, Bachelor’s Thesis in Industrial Engineering and Management, 2020.
- Nathnael Behailu Taye, Energy Efficiency and Digitalization How to improve awareness on energy efficiency in residential buildings using digitalization? Bachelor’s Thesis in Industrial Engineering and Management, 2020.
- Narasyimmha Umapathy, Forecasting of annual wind power in Germany: A study of dynamic pricing models, Bachelor’s Thesis in Industrial Engineering and Management, 2020.
- Helen Schmitz, How do bonus programs affect the customer behaviour towards sustainable packaging? Bachelor’s Thesis in Industrial Engineering and Management, 2020.
- Flavia Shega, Artificial Intelligence Contemporary Implications in Healthcare, Bachelor’s Thesis in Industrial Engineering and Management, 2020.
- Daniyar Abdimomunov, Validation of Opportunities and Challenges of Data Driven Applications, Bachelor’s Thesis in Industrial Engineering and Management, 2020.
- Andrea Pin Morales, The Impact of Increased Transparency in Last Mile Delivery Emissions on Consumer Behaviour, Bachelor’s Thesis in Industrial Engineering and Management, 2020.
2019
- Amin Houshidari, Impact of sensitivity analysis on the data assessment in supply chain networks, Master’s Thesis in Supply Chain Management, 2019.
- Burulai Abdykapar Kyzy, The role of artificial intelligence, machine learning and predictive analytics in project management, Master’s Thesis in Supply Chain Management, 2019.
- Cedric Ohlms, Data and Interface Management for Optimisation of Change Processes, Bachelor’s Thesis in Industrial Engineering and Management, 2019.
- Dazhi Zhan, Systematic Comparison of Impact and Readiness of Industry 4.0 Technologies between China and Germany, Bachelor’s Thesis in Industrial Engineering and Management, 2019.
- Diego Lainfiesta, Production capacity prediction and its risk determination in a high Product-Mix environment, Master’s Thesis in Data Engineering, 2019
- Katharina Landers, The Use of Artificial Intelligence and Internet of Things for Anomaly Detection and Predictive Maintenance for Construction Machinery, Master’s Thesis in Supply Chain Management, 2019.
- Mifrah Aftab, Analysis and Development of Logistics Chain KPIs for Sustainable Ports in Europe, Master’s Thesis in Supply Chain Management, 2019.
- Milos Delikladic, How Industry 4.0 technologies can be incorporated in future farming? Survey and interview investigation in Serbia, Bachelor’s Thesis in Industrial Engineering and Management, 2019.
- Minseog Choi, The role of digital factory and product lifecycle management on sustainability assessment in cement industry Quantitative approach in sustainability assessment, Bachelor’s Thesis in Industrial Engineering and Management, 2019.
- Miruthula Ramesh, To what extent can sustainable/green manufacturing benefit from the integration of IoT and Big data? Bachelor’s Thesis in Industrial Engineering and Management, 2019.
- Murtaza Khalid Khawaja, What is the best practice model for implementation of quality management at a SME/StartUp? Implementation of Total Quality Management at IOTSU, Bachelor’s Thesis in Industrial Engineering and Management, 2019.
- Osama Bin Waheed, Construction 4.0 and smart building Development of the technology reference process model in construction 4.0 Case study: Sweden and China, Bachelor’s Thesis in Industrial Engineering and Management, 2019.
- Rahul Upadhyay, Industry 4.0 in Farming: Precision Agriculture A case study in Nepal, Bachelor Thesis, 2019
- Rezi Chikviladze, How industry 4.0 technologies can improve shareconomy business model in construction industry? Bachelor’s Thesis in Industrial Engineering and Management, 2019.
- Sharath Abraham Peter, How effectively can augmented reality benefit the organization in the area of quality management and process improvements in Press tool manufacturing shop? Master Thesis, 2019
- Tianran Ni, Medium to Short term Manpower Capacity Planning: An Automated Information System for Capacity Planning, Bachelor’s Thesis in Industrial Engineering and Management, 2019.
- Xuqi Bai, Ergonomic Performance Indicator Development for Assembly Systems: Extension of The EAWS Method with Assessment of Environmental Factors, Bachelor’s Thesis in Industrial Engineering and Management, 2019.
2018
- Waleed Asif, Improving Energy and Resource Efficiency in Different Level of Production Using Industry 4.0 Technologies, Bachelor’s Thesis in Industrial Engineering and Management, 2018.
- Sergi Drago Gonzalez, Do machine learning models provide accurate macroeconomic GDP forecast? Bachelor’s Thesis in Global Economics and Management, 2018.
- Hussein Hegazy, Outsourcing and Swap practice in the petroleum industry, Bachelor’s Thesis in Industrial Engineering and Management, 2018.
- Osaid Khan, Assessing the Maturity Level of Industry 4.0 in the Automotive Industry, Bachelor’s Thesis in Industrial Engineering and Management, 2018.
- Young Joon Lee, Product Lifecycle Information Model for Reference Architectural Model Industrie 4.0 (RAMI 4.0), Master’s Thesis in Supply Chain Management, 2018.
- Kirsten Mueller, Analysis of NBA supply chain network for its expansion to Europe, Master’s Thesis in Supply Chain Management, 2018.
- Ali Naweed, The Role of Digitalization for transformation to Industrie 4.0 oriented Business in the German Automotive Industry Models, Bachelor’s Thesis in Industrial Engineering and Management, 2018.
- Anton Shavtvalishvili, Additive Manufacturing’s impact on supply chain in aerospace industry, Bachelor’s Thesis in Industrial Engineering and Management, 2018.
- Soman Tariq, Reinventing the Manufacturing Sector of Aerospace Industry by Implementing Industry 4.0 Technologies, Bachelor’s Thesis in Industrial Engineering and Management, 2018.
- Kemal Tumysh, Outsourcing and Enterprise Resource Planning: Challenges and Opportunity in Petroleum Supply Chain, Bachelor’s Thesis in Industrial Engineering and Management, 2018.
- JongHack Yi, Development of Sales Demand Forecast through process Improvement, Master’s Thesis in Supply Chain Management, 2018.
until 2017
- Fakhrul Mahathir Muhammad, Development of Big Data Architecture for Building Energy Management, Bachelor’s Thesis in Informationswirtschaft, 2017.
- Eugen Freitag, Einfluss der Digitalisierung auf die Automobilenentwicklung, Master’s Thesis in Industrial Engineering, 2017
- Matteo von Plettenberg, Industrie 4.0 in der Automobilindustrie – Eine empirische Untersuchung der Chancen und Risiken, Master’s Thesis in Industrial Engineering, 2017
- Anson Santoso, Entwicklung eines Konzeptes zur Einführung von Industrie 4.0 in produzierenden KMUs, Diploma Thesis in Mechanical Engineering, 2016.
- Anggie Legiando Pratama, Integration of machine learning methods to predict energy production and consumption in demand response system, Bachelor Thesis in Industrial Engineering, 2016.
- Qing Xu, Wissensmanagement einer Best-Practice-Plattform von Montageprozessen zum Wissensaustausch in der Fahrzeugmontage, Master Thesis – In cooperation with BMW AG, Master Thesis in Industrial Engineering, 2015.
- Abdellatif Laaroussi, Development of Ontology based Semantic Data Integration Concept for Improving Energy Efficiency in Smart Cities, Diploma Thesis, 2015.
- Torben Wulff, Energiemanagement in der Produktion, Master Thesis, 2015
- Dilek Fansa, Development of Knowledge Engineering, Digitalization, and Human Computer Interaction Concept to Improve Efficiency of Manufacturing within the Factory of the Future Vision, Diploma Thesis in Computer Science, 2014.
- Mehmet Alperen Caniklioglu, Entwicklung eines Konzeptes zur Modellierung von semantischen Informationen mit Ontologie für intelligentes Energiemanagement in der Produktion, Student Thesis, 2014.
- Fridolin Klug, Modelling the Energy Production and Consumption for Future Efficient Energy System in Province Nusa Tenggara Timur (NTT) Indonesia, Master Thesis in Mechanical Engineering, 2013.
- Celine Reichel, Ein integriertes energetisches Kennzahlensystem im produzierenden Unternehmen, Student Thesis, 2013
- Fabian Jost, Ontology-based Energy Management in Manufacturing, Bachelor Thesis in Industrial Engineering and Management, 2013
- Ihssane El Oudghiri, Entwicklung eines Konzeptes zum ontologiebasierten und flussorientierten Energiemanagement in der Produktion, Diploma Thesis, 2013.
- Jun Xu, Entwicklung von Data Mining Konzept zur Vorhersage des Energiebedarfs in der Produktion, Master Thesis, Diploma Thesis, 2013.
- Robin Voigt, Vorgehensmodell zur Formulierung und Implementierung einer ökologisch nachhaltigen Produktionsstrategie, Master Thesis – In cooperation with Volkswagen Consulting, 2013.
- Adil Zdi, Entwicklung eines Konzepts zur Generierung einer Wissensbasis für die Optimierung des Energieverbrauchs in der Produktion, Diploma Thesis, 2013.
- Ardhi Irsyadi, Semi-Automatic Knowledge Generation for Knowledge-Based Energy Management System in Production, Bachelor Thesis – In cooperation with HS Karlsruhe, 2012.
- Ahmad Diaa Aboustif, Semantisches Informationsmodell für intelligente Energiemanagement in der Produktion, Diploma Thesis, 2012.
- Han Che, An integrated ICT approach to improve energy efficiency in discrete manufacturing (SME), Bachelor Thesis, 2012.
- Abdullah Alhaj Hussein, Einsatz von Metaheuristiken zur Optimierung der Produktionsfeinplanung, Diploma Thesis, 2012
- Ion Martin Arriola, Analyse und Modellierung der reellen Condition Monitoring Events, mit einem direkten Einfluss auf den Produktionsprozess am Bsp. eines Karosserielagers, Diploma Thesis – In cooperation with VW Pamplona Spain, 2012.
- Duc Viet Bui, Event-based condition monitoring for optimization of production planning and control, Bachelor Thesis, 2012.
- Ernst Victor Prohl, Hyper-Heuristic Scheduling: Solving a Generic Real-World Problem, Bachelor Thesis, 2012
- Tobias Kaiser, Entwicklung eines Konzepts zur Ermittlung einer Energieeffizienz-Metrik im produzierenden Unternehmen, Bachelor Thesis, 2012
- Jacqueline Schöttler, Development of a Concept to Determine and Improve Energy Efficiency to Produce a Product Based on Its Configuration, Bachelor Thesis, 2012
- Stefan Weyer, Entwicklung eines Konzeptes zur semi-‐automatischen Generierung von Regelwerk für die energieeffiziente Auftragsbearbeitungsplanung In der Produktion, Bachelor Thesis, 2011
- Zena Ballout, Usage of Information and Communication Technologies for an Energetic and Resource Efficient Production – a Comparison and Commendation, Bachelor Thesis, 2011
- Youssef Ait Laydi, Entwicklung eines Konzeptes zur IT-unterstützten Erfassung und Analyse von Anforderungen in Produktkonfigurationssystemen, Diploma Thesis, 2011.
- Silvia Feurer, Analyse der Methoden, Techniken, und Systeme zur Verbesserung der Energieeffizienz in der Produktion, Bachelor Thesis, 2011.
- Fabian Schwedes, Methoden, Techniken und Systemen der IT für die Produktionsplanung und -steuerung zur Verbesserung der Ressourceneffizienz in der Produktion, Student Thesis, 2011.
- Enrico Kusnady, Konzeption und Realisierung einer Methodik zur Generierung und Verarbeitung einer Ontologie zur Verbesserung der Energieeffizienz im Haushalt, Student Thesis, 2010.
- Mariusz Kosecki, Methods and tools for user pattern extraction in home automation environment to improve energy efficiency in household, Bachelor Thesis, In cooperation with Institute of Applied Informatics at the State School of Higher Professional Education in Elbląg, 2010
- Ariel Piotr Guz, Methods and tools to generate knowledge base for supporting energy usage analysis in household, Bachelor Thesis, In cooperation with Institute of Applied Informatics at the State School of Higher Professional Education in Elbląg, 2010.