Machine learning in process systems engineering: Challenges and opportunities

The role of vision in sensory integration models for predicting motion perception and sickness

A review on machine learning in flexible surgical and interventional robots: Where we are and where we are going

Model and Control of R-Soft Inverted Pendulum

Current models to understand the onset and progression of scoliotic deformities in adolescent idiopathic scoliosis: a systematic review

Modelling individual motion sickness accumulation in vehicles and driving simulators

Model-based optimization approaches for pressure-driven membrane systems

Data-driven Abstractions for Verification of Linear Systems

Field Model Identification and Control of a Mobile Electromagnet for Remote Actuation of Soft Robots

Model-based optimization of multistage ultrafiltration/diafiltration for recovery of canola protein

Cryogenic CMOS Characterization for Quantum Computer Applications

Experimental Closed-Loop Excitation of Nonlinear Normal Modes on an Elastic Industrial Robot

Modeling of Resonant Tunneling Diode Oscillators Based on the Time-Domain Boundary Element Method

A One-step Approach for Centralized Overactuated Motion Control of a Prototype Reticle Stage

Lattice modeling and testing of aerated autoclaved concrete infilled frames

Wheel-rail dynamic interaction

Feedback Regulation of Elastically Decoupled Underactuated Soft Robots

Finding effective parameters for mitigating traffic congestion near universities

Markov Modulated Process to Model Human Mobility

Predictive Aircraft Maintenance: Modeling and Analysis Using Stochastic Petri Nets