Scholar
Sahel Mohammad Iqbal
Google Scholar ID: KP7mJUgAAAAJ
Doctoral Researcher, Aalto University
Citations & Impact
Citations
23
H-index
3
i10-index
0
Publications
8
Co-authors
6
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- 1. Paper 'Sequential Monte Carlo for Policy Optimization in Continuous POMDPs' accepted to NeurIPS 2025.
- 2. Co-author Adrien Corenflos will give a talk on their joint work at MCM 2025.
- 3. Gave a talk on using particle filters for amortized BED at the Accelerating statistical inference and experimental design with machine learning workshop at the Isaac Newton Institute for Mathematical Sciences.
- 4. Presented a poster at the Bayesian Decision-making and Uncertainty workshop at NeurIPS 2024 in Vancouver.
- 5. Published multiple papers, including:
- - 'Sequential Monte Carlo for policy optimization in continuous POMDPs'
- - 'Physics-informed machine learning for grade prediction in froth flotation'
- - 'Recursive nested filtering for efficient amortized Bayesian experimental design'
- - 'Parallel-in-time probabilistic solutions for time-dependent nonlinear partial differential equations'
- - 'Nesting particle filters for experimental design in dynamical systems'
Research Experience
- Working at Aalto University, focusing on Monte Carlo algorithms, reinforcement learning, and Bayesian experimental design.
Education
- Third-year PhD student at Aalto University, Finland, supervised by Simo Särkkä.
Background
- Research interests include developing accurate and efficient Monte Carlo algorithms for reinforcement learning and Bayesian experimental design (BED). Recently, also interested in how similar algorithms can be used for inference-time alignment of diffusion and large language models.
Miscellany
- Outside work, mostly engaged in reading, lifting weights, and writing JAX code. Active projects are available on GitHub.
