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 read the OLIVES research section in the Home page and visit the Publications page.
- Second, send me the following materials:
- your detailed CV,
- 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
- 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.
