Problem Solver

Denis Tran

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:

  1. Accord
  2. Opencv
  3. ITK
  4. manufacturing
  5. medical imaging
  6. computer vision
  7. arduino
  8. sensors
  9. ultrasound imaging
  10. image processing
  11. C#/C++
  12. Labview
  13. Matlab

Denis Tran's Problem Solving Experience:

  1. I developed an algorithm to measure the gap in a bundle of boxes as they are stacked
  2. 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.
  3. 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.
  4. I developed an algorithm for more efficiently compressing speech parameters to be sent over a channel. This can increase efficiency in speech compression.
  5. I developed an algorithm to measure the skin-to-epidural depth in ultrasound images. This will help anesthesiologists quickly detect the epidural space.
  6. I developed a real-time echo cancellation system for use in a shared reality environment.
  7. 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.
  8. 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.
  9. I developed an algorithm to measure the position of hot melt glue in packaging of beer boxes.
  10. 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.