Our Communications
Showing 29 of 29 communications
1. (W2.1) 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.
2. (W5.4) 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.
3. (W2.1) 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.
4. (W2.2) 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.
5. (W2.2) 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.
6. (W5.4) 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.
7. (W5.4) 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.
8. (W5.4) 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.
9. (W2.1) 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.
10. (W2.1) 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.
11. (W2.1) 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.
12. (W2.1) 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.
13. (W5.4) 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.
14. (W2.1) 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.
15. (W2.1) Improve Xpert4.0: A Big Data-Driven System to Support ContinuousImprovement Initiatives and Decision-Making in 4.0 Companies
“Improve Xpert4.0: A Big Data-Driven System to Support ContinuousImprovement Initiatives and Decision-Making in 4.0 Companies” by Ângela Brochado. Presented at 8th European Conference on Industrial Engineering and Operations Management, Paris, France, 2-4 July 2025.
16. (W2.1) 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.
17. (W5.4) 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.
18. (W5.4) 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.
19. (W2.1) 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.
20. (W2.1) 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.
21. (W2.1) Neural Network Approximation of Multidirectional Efficiency Analysis
Presented by Ângela Brochado at International Conference on Artificial Intelligence (AIACT26), Sydney, Australia, 2nd-6th February 2026.
22. (W2.1) 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.
23. (W2.1) 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.
24. (W5.4) 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.
25. (W2.1) 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.
26. (W5.4) 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.
27. (W2.1) Smart Impact Management of KPIs on Maritime Ports
Brochado, Â. F.; Esteves, Lara; Rocha, Eugénio M. "Smart Impact Management of KPIs on Maritime Ports". Work presented in Digital and Green Transition in Maritime Ports: Trends and Challenges (DGTMP 2024), 2024.
28. (W5.4) 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.
29. (W2.1) Towards Equipment Operations Optimization through a Novel Efficiency Analysis Model
Kazmi, Syed M.; Brochado, Â. F.; Rocha, Eugénio M. Towards Equipment Operations Optimization through a Novel Efficiency Analysis Model. Work presented in Digital and Green Transition in Maritime Ports: Trends and Challenges (DGTMP 2024), 2024.