Fall 2018 | PhD | CS | G.R.E 319 (Q-167/V-152/AWA 3) | GPA 4.0/4.0 | TOEFL 108

Hi everyone, I am planning on a PhD in the field of Image Processing/Computer Vision, and therefore will be looking for direct PhD programs with funding.

Profile Evaluation for PhD in CS (Fall 2018)
M.Sc. CE 4.0/4.0
B.Sc. EE 3.75/4.0

Field of Interest: Artificial Intelligence , Machine Learning
Degree Goal: PhD in CS ML/Computer Vision
Your rank in your class: Not Known, probably top 5% in B.Sc.

GRE: (Q-167, V-152, AWA-3)
TOEFL: 108 (R-29, L-29, S-23, W-27)
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Work Experience
1) 3 years of teaching epxerience
2) 1 year of Software developer experience
3) 2 months of internship
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Submitted or Accepted publication: 2
Journal of Soft Computing (published)
Journal of Applied Intelligence (second review)

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Multiple Projects in NP Hard, Heuristics, Image processing, VHDL, FPGA
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Recommendations:
1) Professor (MSc Advisor) - Strong
2) Associate Professor - Strong
3) Assistant Professor - Moderate
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Universities (Tentative)

Georgia Institute of Technology
Carnegie Mellon University
The University of Texas at Austin
Purdue University
University of California, Berkeley
University of California, San Diego
University of California, Los Angeles
University of Michigan
University of California, Irvine
University of Illinois Urbana-Champaign
University of Illinois at Chicago
Texas A&M University
University of Southern California
Virginia Tech
Arizona State University

Can you please help me to categorize these universities into Ambitious, Moderate and Safe? And if possible, please suggest more universities.

Addiontally, will the AWA score of 3 in GRE impact my chances of admissions in the above universities?