Our Communications
Showing 55 of 55 communications
1.
“” by Eugénio Rocha. Presented at Summit of Manufacturing and Logistics (SML26), Aveiro, Portugal, 3rd June 2026).
2. A Composed and Derivative-Augmented Framework for Forecasting Intermittent Demand in Spare Parts Logistics
“A Composed and Derivative-Augmented Framework for Forecasting Intermittent Demand in Spare Parts Logistics” by Demilade Aliu. Presented at Data-Driven Innovation in Industry (DII26), Aveiro, Portugal, 3rd - 7th June 2026.
3. A Configurable Dashboard Framework for Seaport Equipment Efficiency Monitoring Using MEA and LLM-Driven Interpretation
Presented by Liliana Ribeiro at Data-Driven Innovation in Industry (DII26), Aveiro, Portugal, 3rd - 7th June 2026.
4. A Data-Driven Framework for Early Sequential Feature Selection using Belief Propagation
Presented/submitted at DII26 — Data-Driven Innovation in the Industry, Aveiro, 3–7 June 2026, within the 2026 Mathematics and Artificial Intelligence in the Industry event series.
5. A Diagnostic-Prescriptive Framework for Last-Mile Logistics
Presented by Ângela Brochado at 8th International Conference on Machine Learning and Machine Intelligence (MLMI 2025), Kyoto, Japan, 25-27 July 2025.
6. A Mathematical Framework for Assessing Disruptions in Maritime Logistics Operations
Presented by Muhammad Mohsin at ISM 2025, 7th International Conference on Industry of the Future and Smart Manufacturing, University of Malta, Malta, 12-14 November 2025.
7. A Meta-Learning-Based Dynamic Ensemble Framework for Time-Series Forecasting under Expanding Window Evaluation
Presented Syed Bukhari at Data-Driven Innovation in Industry (DII26), Aveiro, Portugal, 3rd - 7th June 2026.
8. A Meta-Ranking Framework for Adaptive Model Selection in Time Series Forecasting
Submitted to DII26 — Data-Driven Innovation in the Industry, Aveiro, 3–7 June 2026, as part of the Project 3 scientific dissemination outputs.
9. A Meta-Ranking Framework for Adaptive Model Selection in Time Series Forecasting
Presented by João Sousa at Data-Driven Innovation in Industry (DII26), Aveiro, Portugal, 3rd - 7th June 2026.
10. A Meta-Ranking Framework for Adaptive Model Selection in Time Series Forecasting
Demonstration by João Sousa at Summit of Manufacturing and Logistics (SML26), Aveiro, Portugal, 3rd June 2026).
11. A Modular IoT-based Architecture for Logistics Service Performance Assessment and Real-Time Scheduling towards a Synchromodal Transport System
Presented by Ângela Brochado at 17th International Congress on Logistics and SCM Systems (ICLS2023), Seoul, South Korea, 9-12 August 2023.
12. A Parametric Information-Gain Framework for Streaming Fault Prediction in Assembly Lines
Presented/submitted at DII26 — Data-Driven Innovation in the Industry, Aveiro, 3–7 June 2026, focused on information-gain methods for streaming fault prediction in assembly lines.
13. An Adaptive Non-Linear Model for Real-Time Logistics Synchronization
Presented by Antonio Iglesias at Data-Driven Innovation in Industry (DII26), Aveiro, Portugal, 3rd - 7th June 2026.
14. An Approach to Evaluating and Explaining (In)Efficiencies in Transport Services
Presented by Ângela Brochado at 22nd International Conference of Numerical Analysis and Applied Mathematics (ICNAAM2024), Heraklion, Greece, 11-17 September 2024.
15. An LLM-Enhanced Dashboard for Analyzing Seaport Operations Efficiency
Presented by Liliana Ribeiro at International Conference on Artificial Intelligence (AIACT26), Sydney, Australia, 2nd-6th February 2026.
16. An LLM-Enhanced Dashboard for Analyzing Seaport Operations Efficiency
Demonstration by Liliana Ribeiro and Syed Kazmi at Summit of Manufacturing and Logistics (SML26), Aveiro, Portugal, 3rd June 2026).
17. Automated EDA Results on ML Readiness and AutoML
Presented at a conference in Kyoto, Japan, in 2025. The communication reported results from the automated EDA system, including ML Readiness assessment and AutoML functionality.
18. Automated EDA Results on ML Readiness and AutoML
Presented at a conference in Tokyo, Japan, in 2025. The communication reported results from the automated EDA system, including ML Readiness assessment and AutoML functionality.
19. Automated EDA System for Industrial Data Exploration
Presented at an international scientific conference in Prague, Czech Republic, in 2025. The communication disseminated results from the automated Exploratory Data Analysis system developed for heat-pump industrial datasets.
20. Belief Propagation and Generalized Factor Graphs for Root Cause Analysis
Presented at an international conference in Crete, Greece, in 2024. The communication covered theoretical results on Belief Propagation and generalized factor graphs for industrial Root Cause Analysis.
21. Belief Propagation Results for Root Cause Analysis
Presented at international conferences in Seville, Spain, in 2024. The communication disseminated theoretical results on Belief Propagation for Root Cause Analysis developed within Project 3.
22. Breaking the Linear Barrier: A Deep Learning Approach to Nonlinear Efficiency in Ports
Presented by Syed Kazmi at International conference on Advanced Machine Learning and Data Science 25 (AMLDS25), Tokyo, Japan, 19-21 July 2025.
23. Clustering and machine-learning anomaly detection technique of count time series
Presented by Luis Sousa at Data-Driven Innovation in Industry (DII26), Aveiro, Portugal, 3rd - 7th June 2026.
24. Complexity-Aware Conformal Classification for Timely Industrial Fault Prediction
Presented/submitted at DII26 — Data-Driven Innovation in the Industry, Aveiro, 3–7 June 2026, focused on conformal classification for timely industrial fault prediction.
25. Decision Support Tool for Optimized Truck Arrivals in Ports
Demonstration by Antonio Iglesias at Summit of Manufacturing and Logistics (SML26), Aveiro, Portugal, 3rd June 2026).
26. Decision Support Tool for Root Cause Analysis using SHAP, PDP and ICE
Presented by Mariano Cativa at Data-Driven Innovation in Industry (DII26), Aveiro, Portugal, 3rd - 7th June 2026.
27. Decision Support Tool for Root Cause Analysis using SHAP, PDP and ICE
Demonstration by Mariano Cativa at Summit of Manufacturing and Logistics (SML26), Aveiro, Portugal, 3rd June 2026).
28. Diagnostic and Prescriptive Insights for Last-Mile Delivery through XGBoost, SHAP and Differential Evolution
Presented by Ângela Brochado at International conference on Advanced Machine Learning and Data Science 25 (AMLDS25), Tokyo, Japan, 19-21 July 2025.
29. Digital Product Demonstrator for ILLIANCE WP1.3
Final demonstrator held on 3 June 2026 at AIDI, University of Aveiro. The event presented more than 10 digital products from ILLIANCE (WP1.3) and NEXUS, including Artificial Intelligence, Machine Learning, Computer Vision, Edge Computing, Large Language Models, Digital Twins, Simulation and IoT technologies.
30. Edge-Deployed Computer Vision for Glove-Aware Assembly Validation in Industrial Environments
Presented/submitted at DII26 — Data-Driven Innovation in the Industry, Aveiro, 3–7 June 2026, disseminating results from the edge computer-vision and glove-aware assembly-validation work.
31. Fuzzy Variable Influence Analysis based on a Conditional Measurable Factor Graphs
Presented by Eugénio Rocha at 22nd International Conference of Numerical Analysis and Applied Mathematics (ICNAAM2024), Heraklion, Greece, 11-17 September 2024.
32. General Prescriptive System for Smart KPI Management: Application in Container Terminal Operations
Presented by Eugénio Rocha at International conference on Advanced Machine Learning and Data Science 25 (AMLDS25), Tokyo, Japan, 19-21 July 2025.
33. Improve Xpert4.0: A Big Data-Driven System to Support ContinuousImprovement Initiatives and Decision-Making in 4.0 Companies
Presented by Ângela Brochado at 8th European Conference on Industrial Engineering and Operations Management, Paris, France, 2-4 July 2025.
34. Indústria em Transformação: Desafios e Futuro na Era da IA
Invited talk by Prof. Eugénio Rocha at SML26 — Summit de Manufatura e Logística 2026, part of the 2026 Mathematics and Artificial Intelligence in the Industry events at the University of Aveiro.
35. Indústria em Transformação: Desafios e Futuro na Era da IA
Presented by Eugénio Rocha at Data-Driven Innovation in Industry (DII26), Aveiro, Portugal, 3rd - 7th June 2026.
36. Integrated Scheduling and Assignment Optimization for Container Transport with Efficiency-Based Route Selection
Presented by Oluwasegun Michael Oyedotun at Data-Driven Innovation in Industry (DII26), Aveiro, Portugal, 3rd - 7th June 2026.
37. IoT-Driven Performance Assessment and Real-Time Scheduling in Synchromodal Logistics
Presented by Ângela Brochado at 17th Annual Workshop Functional Analysis & Applications Group, Aveiro, Portugal, 1 April 2026.
38. Meta-Ranking Algorithms for Real-Time Series Forecasting
“Meta-Ranking Algorithms for Real-Time Series Forecasting” by João Sousa. Presented at International Conference on Artificial Intelligence (AIACT26), Sydney, Australia, 2nd-6th February 2026.
39. Meta-Ranking Algorithms for Real-Time Series Forecasting
Presented by João Sousa at International Conference on Artificial Intelligence (AIACT26), Sydney, Australia, 2nd-6th February 2026.
40. Model-Based Clustering and Anomaly Detection of Zero-Inflated Data
Presented by Eugénio Rocha at 8th International Conference on Machine Learning and Machine Intelligence (MLMI 2025), Kyoto, Japan, 25-27 July 2025.
41. Monetary Flow Network Multi-Directional Efficiency Analysis: A Dual Benchmarking Framework for Logistics Systems
Presented by Syed Kazmi at Data-Driven Innovation in Industry (DII26), Aveiro, Portugal, 3rd - 7th June 2026.
42. Neural Network Approximation of Multidirectional Efficiency Analysis
Presented by Ângela Brochado at International Conference on Artificial Intelligence (AIACT26), Sydney, Australia, 2nd-6th February 2026.
43. Non-Linear Multi-Directional Efficiency Analysis Enabled by Deep Learning: Application in Port Logistics
Presented by Syed Kazmi at 8th International Conference on Machine Learning and Machine Intelligence (MLMI 2025), Kyoto, Japan, 25-27 July 2025.
44. On Fuzzy Topological Semantics
“On Fuzzy Topological Semantics” by Muhammad Khan. Presented at DaLí 2025: The 6th Workshop on Dynamic Logic - New Trends and Applications, Xi’an, China, 20-21 October 2025.
45. Optimization of Logistics Operations based on the Convergence and Correctness of Belief Propagation for Nonlinear Programming via Sequential Linearization
Presented by Muhammad Khan at Data-Driven Innovation in Industry (DII26), Aveiro, Portugal, 3rd - 7th June 2026.
46. Performance Evaluation and Explainability of Last-Mile Delivery
Presented by Ângela Brochado at 5h International Conference on Industry 4.0 and Smart Manufacturing, Lisboa, Portugal, 22-24 November 2023.
47. Predictive Modeling of Port Operational Performance Using ML Models: A Data-Driven Analysis of Vessel Turnaround Time, Yard Allocation, and Throughput
Presented by Maniha Zafar at Data-Driven Innovation in Industry (DII26), Aveiro, Portugal, 3rd - 7th June 2026.
48. Prescriptive Arrival Scheduling for Multimodal Transport Flows in Port Logistics
Presented by Antonio Iglesias at International Conference on Artificial Intelligence (AIACT26), Sydney, Australia, 2nd-6th February 2026.
49. Processes Reconstruction for Workflow Analysis and Bottleneck Detection
Submitted to DII26 — Data-Driven Innovation in the Industry, Aveiro, 3-7 June 2026, as part of the Project 3 scientific dissemination outputs.
50. Smart Impact Management of KPIs on Maritime Ports
Presented by Eugénio Rocha in Digital and Green Transition in Maritime Ports: Trends and Challenges (DGTMP 2024), 2024.
51. Supply chain optimization of hightly customized and costly products by a mixed ML/DL and CP-SAT approach
Presented by Eugénio Rocha at 17th International Congress on Logistics and SCM Systems (ICLS2023), Seoul, South Korea, 9-12 August 2023.
52. Topological Semantics for many valued Modal Logic
“Topological Semantics for many valued Modal Logic” by Muhammad Khan. Presented at Days in logic 2026, Braga, Portugal, 29-31 January 2026.
53. Towards Equipment Operations Optimization through a Novel Efficiency Analysis Model
Presented by Syed Kazmi in Digital and Green Transition in Maritime Ports: Trends and Challenges (DGTMP 2024), 2024.
54. Uncovering Hidden Structures in Zero-Inflated Data
Presented by Eugénio Rocha at 8th International Conference on Machine Learning and Machine Intelligence (MLMI 2025), Kyoto, Japan, 25-27 July 2025.
55. An Approach to Evaluating and Explaining (In)Efficiencies in Transport Services
12126 October 12
Presented at the 22nd International Conference of Numerical Analysis and Applied Mathematics (ICNAAM2024), Heraklion, Greece.