Trust_Gen_Z:Trustworthy Generative AI for Advanced Industrial DigitaliZation
Status:
Start date:
End date:
The project will facilitate inspection, monitoring, optimization and maintenance of industrial equipment and machinery. However, implementing a multimodal framework in the industry faces a challenge: the absence of reliable AI methods that generate predictions while offering prescriptive decisions. While the use of gAI looks promising for this task, there are significant gaps in current explainable AI (XAI) methods, which limit their applicability to prescriptive analytics. Trust_Gen_Z will address these challenges and support prescriptive analysis to advance digitization in the automotive and telecom industries. The strong consortium, which consists of a mix of industry (Ericsson and Volvo Construction Equipment), SME (MainlyAI) and academia (Mälardalen University), ensures research excellence in the project and contributes to Sweden's industrial development.
| First Name | Last Name | Title |
|---|---|---|
| Mobyen Uddin | Ahmed | Professor |
| Shahina | Begum | Professor |
| Shaibal | Barua | Senior Lecturer |
Integrating XGBoost, SHAP, and DiCE for Prescriptive Maintenance of Undercarriage Sprockets (Feb 2027) LIBAN Mohamed AHMAD , Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Daniel Aurel , JONATHAN WRIGHT , Emmanuel Weiten 9th Artificial Intelligence and Cloud Computing Conference (AICCC2026)
Unmasking Novel IoT Threats through Attack Disjoint Feature Attribution and Transparent Machine Learning (Feb 2027) DANJELA KUÇI , Mobyen Uddin Ahmed, Shahid Raza 9th Artificial Intelligence and Cloud Computing Conference (AICCC2026)
Optimising Wheel Replacement Schedules for Freight Trains based on Machine Learning Models (Nov 2026) Max Strang , Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum 15th International Conference on Data Science, Technology and Applications (DATA 2026)
Explaining Agent Interactions through their Causal Behavior and Counterfactuals (Oct 2026) Mir Riyanul Islam, Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum 27th Engineering Applications and Advances of Artificial Intelligence (EAAAI26)
Evaluating Explainable Hybrid Intrusion Detection Models Under ZeroDay Conditions (Sep 2026) Sumayyamol Mukkil Muhammed Ismail , Mobyen Uddin Ahmed, Shahina Begum Cybersecurity Symmetry: Encryption, AI, and Attack Patterns (CSEAIAP)
Enhancing Industrial AI Usability Through Human-AI Interaction (Jul 2026) Marcus Hammarström , Liam Burberry Gahm , Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Emmanuel Weiten , Daniel Aurel 28th International Conference on Computer and Information Technology (ICCIT25)
| Partner | Type |
|---|---|
| Ericsson AB | Industrial |
| Volvo Construction Equipment AB | Industrial |
