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Prospective Students

Students with interest in digital signal processing, image and video processing,  machine learning, and computer vision and are interested in working towards their PhD. degree with me are encouraged to read through this web page and follow the below steps.

First, interested students must visit this website Research and Publication pages.

Second, send me the following materials:

  1. your detailed CV,
  2. a statement of purpose that illustrates in detail the value you will add to my group, your unique aspects compared to average top graduate students, and the reasons you think you are among the top 1% applicants to graduate school, and
  3. a comprehensive list of the topics that you may work on within the group and you think they will change the world and have a positive impact on humanity; for each topic state the reasons that make you a good fit to such topics.

Third step is for me to review all materials with the help of, at least, one Postdoctoral Fellow, and two senior Graduate students. If we decide an applicant as competitive, then I will ask the student to register a special problem course for one or two semesters, at most. Upon the conclusion of the special problem course, we decide and commit to each other for both thesis and GRA.

Why join this group?

The group runs by participation from every member. Each team consists for the most part of one Postdoc, at least one senior PhD student, at least one junior Ph.D. student, and a few undergraduate students. Students receive training on conducting literature review, reviewing publications, writing grants and funding proposals, writing papers, presenting high-quality presentations, and communication skills. The students within a group define their research topics within certain guidelines and they work together to publish and submit funding grants. Collaboration is important to the success of the group.

The technical work in the group covers a broad spectrum of visual data ranging from natural images and videos to computed subsurface images/volumes and many other types of data. This is the strength of our group where the core of processing the data based on neural networks and perceptional models drive the innovation into many applications ranging from autonomous vehicles to planets exploration and oil extraction.

Although students are encouraged to publish journal papers and write patents, we also focus on problems that may result in start ups.

New students start by reading two self development books 🙂

The major philosophy is that grit is key to success; Ph.D. is no different.

Examples of Alumni:

Are you interested in enjoying life and changing the world? If yes, you are at the right place! Please check out the stories of some of our alumni…

Dr. Michael Santoro received the Ph. D. degree in 2012 with various accomplishments including a best paper award. Moreover, Michael also received the best costume award in a Halloween party dressed up as Alan. After his PhD, Michael continued as a postdoc at Pontificia Universidad Católica de Chile, toured South America with his motorbike, and enjoyed life as much as he can :). As a work hard party hard person, later on, Michael worked in numerous startups and the most recent one, Eyefluence, was acquired by Google and now he is working on building next generation virtual reality systems.

Dr. Mingyu Chen received the Ph. D. degree in 2013 and started working at Qualcomm. Later, Mingyu worked at Magic Leap for a while and then founded his own startup xPerception, which was acquired by Baidu. Now, Mingyu is at Baidu and he is pushing the limits of artificial intelligence and computer vision.

Dr. Mashhour Solh received his Ph.D. degree in 2011 and after a short period at TI, he joined Lab 126 (Amazon R&D) where he has been contributing to many innnvoations by Amazon including AI store, Echo Show and many more technologies.

For more information of our alumni, please visit our People page.

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