Theses & Research topics:

1. Using Social Media Analytics in Product Development Processes within the Industry 4.0 Paradigm

Objective: Leverage transformer based large language models (LLMs) and multimodal sentiment analysis to create “live” Digital Twins of consumer needs. The topic will mine social-media streams, auto-generate FMEA/DFx insights, and push them into PLM systems.

Reference: 

A Framework for Social Media Analytics in Textile Business Circularity for Effective Digital Marketing, Journal of Open Innovation: Technology, Market, and Complexity, 2025, https://doi.org/10.1016/j.joitmc.2025.100544 

Influencer-Driven Paradigm Shifts: Analyzing Sustainability and Customer Behavior in Cell Phone and E-Auto Industries via Social Media Analytics, IEEE Access Journal, 2024.  http://doi.org/10.1109/ACCESS.2024.3449113  

2. Smart 3D Printing: Integrating CAD, CAPP, and Additive Manufacturing

Objective: Develop an AI assisted pipeline in which LLM powered code generation turns annotated CAD files into optimal CAPP plans and slicing parameters. Reinforcement learning agents will minimise material waste and CO2 footprint, extending explainable AI energy prediction research on CNC machines. 

Reference: 

Development of an AI Based Failure Predictor Model to Reduce Filament Waste for a Sustainable 3D Printing Process, International Journal of Advanced Computer Science and Applications, vol. 15, no. 10, pp. 1–6, 2024, https://doi.org/10.14569/IJACSA.2024.0151001.  

An Autonomous Framework for Interpretation of 3D Objects Geometric for Application in Additive Manufacturing, 2023, http://doi.org/10.1080/0951192X.2022.2162587.

3. Blockchain Technology in Supply Chain Networks

Objective: Design a blockchain native Life Cycle Assessment (LCA) framework where smart contracts record carbon data and mint verifiable carbon footprint tokens (Digital Product Passports / Product Carbon Footprints). The study integrates ISO 14067 schemas with on chain AI DB for anomaly detection, advancing CO2 tracking architecture. 

Reference:  

A Framework for Sustainable Textile Waste Management using Digital Product Passports and Artificial Intelligence, 58th Conference on Manufacturing Systems - CMS 2025, University of Twente, Netherlands, 13-16 April 2025, https://doi.org/10.1016/j.procir.2025.02.224.

EnerChain: A Decentralized Knowledge Management Framework for Smart Energy Systems with Smart Manufacturing Agents via Blockchain Technology, Journal of Open Innovation: Technology, Market, and Complexity, 2025, https://doi.org/10.1016/j.joitmc.2025.100499.  

4. Developing Vehicle Routing Problem (VRP) Models for Drone-Based Last-Mile Delivery

Objective: Formulate a multi agent, deep-reinforcement-learning VRP that coordinates electric drones with dynamic ground-charging stations. Embed real-time LCA modules and carbon-offset smart contracts to quantify environmental impact.

Reference: 

Drone routing problem model for last-mile delivery using the public transportation capacity as moving charging stations, Scientific Reports: Springer Nature, 2022, http://doi.org/10.1038/s41598-022-10408-4.

5. Adaptive Manufacturing Operation Scheduling Using Stochastic Processes in Industry 4.0

Objective: Create a digital twin scheduling shell that couples Markov decision-process (MDP) models with LLM-driven knowledge graphs for explainable rescheduling under uncertainty (machine failures, volatile demand, energy-price spikes). Optimise sustainability KPIs (energy, CO2) via multi-objective evolutionary AI. 

Reference: 

Using Markov Decision Process Model for Sustainability Assessment in Industry 4.0, IEEE Access Journal, 2025, https://doi.org/10.1109/ACCESS.2024.3514786. 

6. Manufacturing Service Composition Model for Robust Manufacturing Supply Network Design

Objective: Extend cloud manufacturing service-composition research by introducing graph neural networks and LLM based ontology alignment for cross-factory interoperability. Examine tokenised incentive mechanisms (NFTs, stablecoins) to promote low-carbon service selection, building on your blockchain supply-chain CO2 tracking framework. 

Reference: 

A Robust Service Composition for a Resilient Cloud Manufacturing Service Network, International Journal of Computer Integrated Manufacturing, 2025, https://doi.org/10.1080/0951192X.2025.2504088.