Areas Denis Tran is Knowledgeable in:
Image processing
computer vision
Manufacturing
Medical imaging
Sensors
Techniques Denis Tran Uses:
product development cycle
- develop prototype
- bring it to the field for testing
- refine solution and repeat
Denis Tran's Problem Solving Skills:
- Accord
- Opencv
- ITK
- manufacturing
- medical imaging
- computer vision
- arduino
- sensors
- ultrasound imaging
- image processing
- C#/C++
- Labview
- Matlab
Denis Tran's Problem Solving Experience:
- I developed an algorithm to measure the gap in a bundle of boxes as they are stacked
- I developed an ultrasound imaging algorithm to improve image quality and enable better visualization of structures in lumbar anatomy. This will help anesthesiologist visualize the lumbar anatomy.
- I developed a set of sensors to quantify the "feel" in epidural needle insertion giving good indication of what the "loss-of-resistance" is. This will help train anesthesiologists.
- I developed an algorithm for more efficiently compressing speech parameters to be sent over a channel. This can increase efficiency in speech compression.
- I developed an algorithm to measure the skin-to-epidural depth in ultrasound images. This will help anesthesiologists quickly detect the epidural space.
- I developed a real-time echo cancellation system for use in a shared reality environment.
- I developed a program for visualizing a slice of 3D ultrasound volume into a view that has the epidural needle. This helps visualize the epidural needle in real-time as it is being inserted.
- I developed a product that measures accurately glue applications in corrugated box manufacturing. This can detect defective boxes and reduce waste and downtime in downstream applications using the boxes made.
- I developed an algorithm to measure the position of hot melt glue in packaging of beer boxes.
- I developed a product that measures the manufacturer's gap of corrugated boxes. This can detect defective boxes and reduce waste and downtime in downstream applications using the boxes made.