Publications
- 2026 AI-Assisted Unit Test Writing and Test-Driven Code Refactoring: A Case Study
- 2026 Bayesian Elicitation with LLMs: Model Size Helps, Extra "Reasoning" Doesn't Always
- 2026 Large Language Models as Optimizers: A Survey of Direct vs. Tool-Augmented Approaches and Their Performance Frontiers
- 2026 Comparative Analysis of Modern Machine Learning Models for Retail Sales Forecasting
- 2025 Uncovering causal graphs in air traffic control communication logs for explainable root cause analysis
- 2024 Revolutionizing Software Development: Autonomous Software Evolution
- 2024 Mask–Mediator–Wrapper Architecture as a Data Mesh Driver
- 2024 First Steps towards Efficient Genome Assembly on ARM-Based HPC
- 2023 Challenges in Collective Intelligence: A Survey
- 2023 High Performance Computing Reinforcement Learning Framework for Power System Control
- 2023 Mask–Mediator–Wrapper: A Revised Mediator–Wrapper Architecture for Heterogeneous Data Source Integration
- 2022 Deep Reinforcement Learning-Based Approach for Autonomous Power Flow Control Using Only Topology Changes
- 2022 Exact solving scheduling problems accelerated by graph neural networks
- 2022 European Processor Initiative
- 2022 Towards Intelligent Compiler Optimization
- 2019 Planning horizons based proactive rescheduling for stochastic resource-constrained project scheduling problems