Fall 2017 | PhD | EECS/CS | GRE - 313 | TOEFL - 103 | IITGN | 9.36

Hi All,

I am planning to apply for PhD in Machine learning (Statistical) and/or information sciences in fall-107.
GRE score distribution (Q: 163, V: 150 and AWA: 3).
TOEFL Distribution (R: 28, L: 26, S: 24,W: 25)

I have completed my masters from IIT Gandhinagar (Electrical Engineering) with 9.36 CPI. My masters' thesis resulted in 1 journal paper in Elsevier (Computers & Chemical Engineering) journal and 1 international conference paper.

I have working experience of more than 2 years at General electric and have earned good recommendation. I have 2 very strong LOR from my masters professors as well.

I am planning to apply to these university (This list also includes non-US universities). Kindly suggest your opinions.

1. Carnegie mellon university (cs department)
2. New york univeristy (CS Department)
3. University of Cambridge (Cambridge machine learning group)
4. EPFL (EDIC)
5. ETH (CS department)
6. Imperial College London (Department of computing)

Do let me know if any other university i should apply.\
Thanks,