Bulent Soykan

Orcid: 0000-0002-7958-2650

According to our database1, Bulent Soykan authored at least 20 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

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

Traffic and weather driven hybrid digital twin for bridge monitoring.
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
TESO Tabu Enhanced Simulation Optimization for Noisy Black Box Problems.
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

Real-Time Remaining Useful Life Prediction with LSTM Priority Resampling.
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


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