32nd ICE IEEE/ITMC Conference
(ICE 2026)
22 - 24 June 2026, Porto - Portugal
Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
|
Daily Overview | |
| Location: Room Miragaia |
| 11:00am - 12:30pm |
RS-MI-2A: AI for Technology Management Location: Room Miragaia Chair: Prof. Erich Heumüller, Baden-Wuerttemberg Cooperative State University Stuttgart Chair: Dr. Abdul Rahman Abdel Razek, Fraunhofer IAO The use of AI in Manufacturing as a Service environments Data-driven and Generative AI Skills for Intelligent Voice Assistants in Industry 5.0 The Impact of AI-Industrial Technology Convergence on Breakthrough Innovation: An Empirical Study Based on Listed Manufacturing Companies in China Robust and Stable Explainable AI for Industrial Transformation: Evaluating AKDE-LIME and CESHAP Automating ISO/IEC 27001 Compliance: A Comparison of Pre-trained NLP Models for Information Security Policies |
| 3:00pm - 4:20pm |
RS-MI-2B: AI, Generative AI & Digital Transformation Location: Room Miragaia Chair: Dr. Carlos Agostinho, UNINOVA Graph-Contextualized RAG for Industrial Documentation: A Neo4j-based Approach to Chunk Enrichment with LLMs Large Language Model-Based Detection of Missing Information in Problem Descriptions Scoping Review of AI, Metrology, and ESG in the Semiconductor Sector: Implications for Safe and Sustainable by Design (SSbD) Investigating the crucial aspects of Minimum Viable Product Development in Indian Start ups |
| 4:40pm - 6:00pm |
RS-MI-2C: Industrial Decarbonisation & Energy Systems Location: Room Miragaia Chair: Prof. Joao Murta-Pina, UNINOVA Maritime energy transition - Short-term fuel preferences from a survey among Norwegian shipowners Enabling Resilient and Localized Supply Chains by Robotic Assembly of Automotive Wire Harnesses A Decision Framework for Industrial Demand Flexibility under Indexed Electricity Pricing Hybrid Two-Level Mixture of Experts Framework Using Machine Learning Components for Day-Ahead Residential Energy Load Forecasting |
