Bulent Soykan
Orcid: 0000-0002-7958-2650
According to our database1,
Bulent Soykan authored at least 20 papers
between 2016 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Toward Personalized Digital Twins for Cognitive Decline Assessment: A Multimodal, Uncertainty-Aware Framework.
CoRR, April, 2026
Evaluating TabPFN for Mild Cognitive Impairment to Alzheimer's Disease Conversion in Data Limited Settings.
CoRR, April, 2026
CognitiveTwin: Robust Multi-Modal Digital Twins for Predicting Cognitive Decline in Alzheimer's Disease.
CoRR, April, 2026
Toward Actionable Digital Twins for Radiation-Based Imaging and Therapy: Mathematical Formulation, Modular Workflow, and an OpenKBP-Based Dose-Surrogate Prototype.
CoRR, March, 2026
CoRR, March, 2026
HGT-Scheduler: Deep Reinforcement Learning for the Job Shop Scheduling Problem via Heterogeneous Graph Transformers.
CoRR, March, 2026
Graph-Enhanced Deep Reinforcement Learning for Multi-Objective Unrelated Parallel Machine Scheduling.
CoRR, February, 2026
2025
CoRR, December, 2025
Artificial Intelligence for Personalized Prediction of Alzheimer's Disease Progression: A Survey of Methods, Data Challenges, and Future Directions.
CoRR, April, 2025
A Hybrid Tabu Scatter Search Algorithm for Simulation-Based Optimization of Multi-Objective Runway Operations Scheduling.
CoRR, February, 2025
Integrating human-machine systems and digital twin technologies: navigating trust, interoperability, and ethical challenges.
Cogn. Syst. Res., 2025
A Proof-of-Concept Digital Twin for Real-Time Simulation: Leveraging a Model-Based Systems Engineering Approach.
IEEE Access, 2025
Proceedings of the International Conference on Machine Learning and Applications, 2025
Real-Time Data Assimilation in Digital Twins via Particle Filters for Discrete Event Simulation.
Proceedings of the 5th IEEE International Conference on Digital Twins and Parallel Intelligence, 2025
2024
Optimizing Job Shop Scheduling Problem Through Deep Reinforcement Learning and Discrete Event Simulation.
Proceedings of the Winter Simulation Conference, 2024
Optimizing Humanitarian Logistics with Deep Reinforcement Learning and Digital Twins.
Proceedings of the Annual Modeling and Simulation Conference, 2024
2023
Optimizing Multi Commodity Flow Problem Under Uncertainty: A Deep Reinforcement Learning Approach.
Proceedings of the International Conference on Machine Learning and Applications, 2023
Adaptive Scheduling In Dynamic Environments: A Data-Driven Approach With Digital Twins And Deep Reinforcement Learning.
Proceedings of the IEEE 3rd International Conference on Digital Twins and Parallel Intelligence, 2023
2022
A simulation-based optimization approach for multi-objective runway operations scheduling.
Simul., 2022
2016
A Hybrid Tabu/Scatter Search Algorithm for Simulation-Based Optimization of Multi-Objective Runway Operations Scheduling.
PhD thesis, 2016