Optimization & Computational Intelligence
Solving complex mathematical bottlenecks by advancing Swarm Intelligence, Evolutionary Algorithms, and Fuzzy Logic.
FST-PSO
Fuzzy Self-Tuning Particle Swarm Optimization - A settings-free global optimization method.
GenHap
A novel computational method based on genetic algorithms for highly efficient haplotype assembly.
Fourier Surrogate Models of Dilated Fitness Landscapes
A novel approach combining dilation functions and Fourier surrogate modeling to smooth noisy, multi-modal fitness landscapes in systems biology.
ProCell
An award-winning stochastic modeling and simulation framework to investigate cell proliferation dynamics using flow cytometry data.
MedGA
A novel evolutionary method for image enhancement in medical imaging systems based on Genetic Algorithms.
We are currently finalizing the digital portfolio for this research pillar. More detailed project descriptions, datasets, and software repositories will be published here soon.