PhD Positions in Multimedia Security Lab (Drexel University, USA)

Dr. Matthew C. Stamm is currently recruiting Ph.D. students for his lab at  
Drexel University in Philadelphia, USA.  Dr. Stamm is an Associate Professor  
in the Department of Electrical and Computer Engineering at Drexel  
University.

Dr. Stamm’s lab develops algorithms to detect fake images and videos, such  
as “deepfakes”.  His lab’s research lies at the intersection of machine  
learning and artificial intelligence, signal processing, image and video  
processing, game theory, etc. Recently much of his research relies heavily  
on deep learning techniques such as convolutional neural networks and  
generative adversarial networks.  Students graduating from his lab have  
secured positions at prestigious employers such as Facebook and Amazon as  
machine learning researchers.

Dr. Stamm’s lab currently is involved in several funded research projects.  
Some examples of these projects include:

- Developing deep learning algorithms to identify fake images made using  
Photoshop and other software.

- Creating AI tools to detect “deepfake” videos and other falsified media.

- Developing techniques to find a video’s source camera using machine  
learning and signal processing algorithms for large scale databases (for  
example Youtube or other social media sites).

- Using deep learning and game theory to understand how forgers make fake  
images.   

His website can be found here: http://misl.ece.drexel.edu/

Interested students should apply for admission to Drexel’s Ph.D. program in  
Electrical and Computer Engineering.  
Overview of how to apply: http://drexel.edu/grad/apply/overview/
Application website: https://admissions.drexel.edu/apply/

Interested students can also contact Dr. Stamm at mstamm@drexel.edu.

Interested students should have a background in electrical engineering or  
computer engineering, or a related field such as computer science or  
mathematics.  It is good to have familiarity with some signal processing and  
programming in some language, however all strong candidates will be  
considered.