[1] Classification and regression by artificial neural network trained by either back propagation or the faster algorithm, Levenberg-Marquardt algorithm.
[2] Statistical pattern recognitions i.e. Bayes rule and Linear Discriminant Analysis (LDA)
[3] Automated visual inspection system
-Discolored surface
-BLOB analysis
-Fast template matching
-Edge/Feature counting
-Translation and rotation detection
-Automated system for contrast enhancement in OCR app.
[4] IGES file and openGL interfacing (only NURBS curve and NURBS surface entities).
[5] Ant Colony System for vehicle routing with window time constraints.
[6] Particle Swarm Optimization (PSO)
-Single objective optimization
-Multi objectives optimization (MOPSO)
-With/without constraints
[7] Dimentional reduction for classification by either feature selection and feature projection i.e. Principle Component Analysis (PCA)
[8] FFT and wavelet package transformation (WPT) of time series signal and also time-frequency representation (TFR) of non-stationary signal by wavelet package transformation
The other topics you can find in my CV and profile.
