In-house and Collaborative Research

RR Labs offers a wide variety of consulting services and courses:
Preliminary study to explore the collaborator's needs and information content in the provided data.
Planning of informative sets of experiments by design of experiments (DOE).
Preliminary study to explore the collaborator's needs and information content in the provided data.
Optimization studies on provided experimental results.
Analysis and modelling of multivariate complex data sets.
Development of specific software according to the collaborator's requests.

             
         
Optimization using soft computing techniques, such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), etc.
      
Parallel implementation of code to execute on multi-core processors using threading and CUDA programming.
      
Design and Development of Decision Support System or Expert System using Machine Learning approaches.


Services

Optimization
  • Single Objective and Multi-Objective Optimization.
  • Parameter Selection.
  • Design and Development of Optimization Algorithms.
  • Design of Experiment.
  • Feature Selection.
  • Curve Fitting.
Parallel Computing
  • Parallel implementation of code to execute on multi-core processors using threading and CUDA programming.
  • Threading using Java and Python.
  • Code optimization for faster execution on multi-core processors.
Machine Learning
  • Regression, Classification and Clustering.
  • Feature Selection.
  • Design and Development of Classification model.
  • Implementation in R and Python.