Research Intersets

Current:

• Epilepsy (neurology): Seizure Prediction, Data-Driven Modeling of Brain Dynamics

• Machine Learning: Statistical Learning Theory, Dictionary Learning, Spectral Clustering, Low-Rank Feature Selection, ...

• Optimization: Large-Scale Optimization Problems, Nonconvex Optimization, Numerical Optimization, Online Convex Optimization

• Signal Processing: Compressed Sensing, Sparse Over-Complete Representations

• Control: Robust Model Predictive Control, Data-Driven Control

Past (based on the previous experiences):

• • Systems and Control:

    • Formal verification: model checking

    • Nonlinear systems and control: sliding mode Control (SMC), higher Order SMC and dynamical SMC

    • Adaptive control: dynamical adaptive backstepping method

    • Robotics & mechatronics: pneumatic actuators-positioning and pressure control, parallel robots (Stewart), bio-inspired control of biped robots

    • Fault detection: nondestructive crack detection in structural systems  such as beam, plate, and chassis 

    • Mathematical system modeling: Pneumatic Actuators with friction modeling, biped robots

  • Intelligent Control:

    • Neural network: MLP-based image processing- object detection application, RBF-based singularity detection in non-stationary signals for fault detection applications  

  • Bio-Mechanical Engineering:

    • Rehabilitation: assisting mechanisms and robots in rehabilitation of lower limp  

    • Lower limp gait analysis: slope effect on lower limb joints- motion capture (SwissRanger-3000 camera) and sensory based