|
| |
Research projects
Current projects:
- Bioinformatics:
- Developing of a new simplified model for representing protein
structures and folding
- Application of a multiagents system for the simulation of protein
folding.
- Genetic algorithms for protein folding problem using the 3D-HP-side
chain model
- Differential evolution for protein folding using 2D/3D continuous
models
- Cellular automata applications in bioinformatics
- Computational tools for analysis of genomic sequences
- Evolutionary Computation:
- Hybrid evolutionary algorithms for engineering problems
- Evolution of rules for cellular automata using hybrid gene-expression
programming
- Particle swarm optimization and bee-algorithm for template matching in
digital images.
- Reconfigurable Computation:
- Gene detection with high-performance reconfigurable hardware
- Cellular automata evolution in FPGA
- Medical (Health) informatics & Biomedical Engineering:
- Ontologies and artificial intelligence techniques for evaluation of
patients with neurological diseases
- Data mining in medical databases
- Eectrical impedance spectrometry for cancer research
Previous/concluded projects:
- Bioinformatics:
- Computational intelligence for phylogenetic trees contruction and
protein structure prediction
- Analysis of cancer-related mutations in genomic databases
- Mitochondrial DNA database
- Hybrid genetic algorithms for multiple sequence alignment
- Multiple sequence alignment in a parallel virtual machine
- Biomolecular sequence alignment using computational intelligence
techniques
- Data-mining in biological datasets
- Hardware-based (FPGA) algorithms for multiple sequence alignment,
protein folding and genomic analysis
- Classification of proteins' structural motifs by means of evolutionary
computation techniques - (see
PROTAM project)
- Stochastic formal languages in bioinformatics
- Neural networks and Hidden Markov Chains for protein classification
- Ant colony algorithms for phylogenetic tree reconstruction
- Evolutionary Computation:
- Gene expression programming applied to symbolic regression and data
classification.
- Operations research techniques for optimized power substations location
- Logistic optimization of maintenance teams for power distribution networks
- Genetic programming for data mining of medical datasets
- Electronic circuits synthesis using genetic programming
- Genetic algorithms for mobile robot path optimization
- Medical (Health) informatics:
- Intelligent tutor for learning mechanical ventilators manoeuvres
- A multimedia system for training in kinesiology
- A multimidia system for teaching support on the neurological evaluation of
the newborn
- Computer system for control and follow-up of clinical research protocols
in oncology
- A computational tool for distance learning using handheld computers -
application in telemedicine
- Biomedical engineering:
- Electronic instrumentation and digital signal processing for objective evaluation of Parkinson
disease
- Relationship between the radiant energy in phototherapy and its effect in
the hiperbilirrubinemy of the newborn
- Hardware implementation of LVQ neural networks and FFT for pattern
recognition in biomedical signals
- Computer-based variability analysis of the voice acoustic parameters in
the adolescence
- Vision-operated prostetic keyboard for a brain-computer interface
- Simulation and synthesis of EEG signals
- An EEG signal databank
- EEG pattern recognition using genetic programming
- A high-performance digital signal processing board with TMS320C54 chip
- LVQ neural networks for pattern recognition of EEG signals related to hand
movements
|
