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Fall 2018 | MS /P.h.D.| ML/AI | G.R.E 325 | GPA 8.94 | TOEFL -108 | IIT, Guwahati
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pranaymanocha Offline
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Post: #1
Fall 2018 | MS /P.h.D.| ML/AI | G.R.E 325 | GPA 8.94 | TOEFL -108 | IIT, Guwahati
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Hi everybody,

I plan to do a Ph.D. (in the field of ML/AI )
Please evaluate my profile given below:
UG CGPA: 8.94/10.0, IIT Guwahati
Rank:- 2/120
GRE: 325 (168Q + 157V, 4 AWA)
TOEFL: 108
Work Experience: (Current Final year undergrad)

Internships: 2
#Carnegie Mellon University, Language Technologies Institute
Topic: Content-based retrieval for audio, which aims to retrieve all semantically similar audio recordings from a given audio clip query.
# IIT Delhi
Topic: Worked on Brain Tumor Classification, Segmentation, and Gradation on MR Images.

I have 3 papers.
#Accepted - 1
Tumor Classification and Segmentation of Brain MR Images- Neurocomputing

#Submitted -2
1) CONTENT-BASED REPRESENTATIONS OF AUDIO USING SIAMESE NEURAL NETWORKS - ICASSP 2018 Alberta, Canada
2) Automated Tumor Segmentation and Brain Mapping for
the Tumor Area - IHCI-2018 (Intelligent Human-Computer Interaction) Paris, France


Projects(apart from internships)
# GENERATING SEMANTIC GRAPH FROM UNSTRUCTURED TEXT
# AUDIO FINGERPRINTING AND NELS(NEVER ENDING LEARNER OF SOUNDS)
#ACTION RECOGNITION IN VIDEOS using deep learning
# IMAGE DENOISING USING DICTIONARY LEARNING
#DATA DRIVEN INTEREST POINT DETECTION
# NON- INVASIVE BLOOD GLUCOSE MEASUREMENT using Image processing


Achievements
#SN BOSE fellow for the year 2017. Amongst 50 people selected for a funded research internship in the US. Sponsored by the Govts. of India and US respectively.

#Awarded Indian Academy of Sciences Summer Research Fellowship for the year 2016-2017.

#Won the first prize in an international Chatbot building event hosted by Datalog.ai. Received a prize money of Rs. 25,000 and an Amazon Echo Alexa home assistant

#Awarded the National Network for Mathematical and Computational Biology fellowship, sponsored by the Science and Engineering Research Board, Government of India which includes a cash prize of Rs. 40,000

Infobank Profile: http://www.edulix.com/unisearch/user.php?uid=332461

Universities considering for application:
MIT - Media Labs
Brain and Cognitive Sciences
EECS
Stanford : CS
Berkeley: CS
CMU- LTI
MLD
Computer Science
MILA- MSc(direct P.h.D. not allowed)
Toronto- MS.c
UWashington- CS
Cornell - CS/ECE not sure ?
Princeton: CS/EE not sure?
UT Austin : CS/ECE not sure
Gatech: ECE/ CS not sure ?
Columbia - not sure (they do have a good vision group a few members only)


Please help me to shortlist. Considering my undergrad background is in EEE(minor in CS), I think applying to ECE makes more sense. Should I also add more safe universities?
Thanks in advance!


Edulix_Editor
Dragon_Warrior
gurkanwals
The_Observer
Lakshay Kharbanda


help guys? Smile
(This post was last modified: 11-16-2017 12:52 PM by pranaymanocha.)
11-14-2017 07:50 PM
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Edulix_Editor Offline
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Post: #2
RE: Fall 2018 | MS | CS | G.R.E 325 (Q-168/V-157) | GPA 8.94 | TOEFL -108 | IIT, Guwahati
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Hi:

Great GRE. Title a bit misleading. First thought you were planning MS; but now realize that you would like to do PhD.

Overall great credential. I advise - as always - the following:

1. For PhD, Labs and PIs (professors) need to be picked. Just the name of the university doesn't help you.

2. Always have a balanced list.

Ambitious (5 programs)
MIT - Media Labs, Brain and Cognitive Sciences, EECS
Stanford : CS (Whose Lab?)
Berkeley: CS (Whose Lab?)
CMU- LTI, MLD, Computer Science, MILA- MSc (direct P.h.D. not allowed)
Toronto- MS.c or UWashington- CS (PhD recommended at UW - one of my top choices)

Moderate
Cornell or Purdue - ECE for both.
Princeton: CS (recommended)
UT Austin : CS/ECE not sure (doesn't matter).
Gatech: ECE/ CS not sure ? (both are good; choose 1)
Columbia - not sure (they do have a good vision group a few members only) - pick an advisor (Moderate to ambitious)

Safe
VT (pick a lab)
UMCP (Pick a lab)

Hope this gets you going....

cheers,

EE

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11-15-2017 05:24 AM
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pranaymanocha Offline
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Post: #3
RE: Fall 2018 | MS | CS | G.R.E 325 (Q-168/V-157) | GPA 8.94 | TOEFL -108 | IIT, Guwahati
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Hey! Thanks a lot for the reply. Yeah, Initially I thought about doing a Research Masters first. And most of these are unfunded and people also advised me to aim for a direct Ph.D. Hence this decision. I am applying for MS.c for places that have funded research masters though. I am not able to justify the huge opportunity cost and tuition cost for pursuing a master if I want to do a P.h.D eventually

Stanford(can apply for masters and P.h.D in one application)- Aiming for Dan Jurafsky(NLP) and Fei Fei(Vision)
Berkeley: - Aiming for Peter Abbeil, Dan Klein( NLP), Vision(Jitendra Malik), Trevor Darrell

I have a few question which I hope you can clarify.
1) Regarding Cornell CS vs ECE, I checked their faculty list and most of their top people in ML/AI are in CS( with no joint appointments/ 1-2 maxx appointments in CS from ECE). I am not sure why applying to ECE would be beneficial.
2) Columbia has Sree Nayar(vision), Micheal Collins(NLP), David Blei(ML) and a few new joinings - Carl Vonrdich. Does it make sense to apply there?

Thanks!
11-15-2017 04:45 PM
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pranaymanocha Offline
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pranaymanocha Offline
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Post: #4
RE: Fall 2018 | MS /P.h.D.| ML/AI | G.R.E 325 | GPA 8.94 | TOEFL -108 | IIT, Guwahati
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Chirantar
arjuniya
samahuj1994
aditya57
Gaussian

any help guys? Thanks!
11-16-2017 12:53 PM
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Post: #5
RE: Fall 2018 | MS /P.h.D.| ML/AI | G.R.E 325 | GPA 8.94 | TOEFL -108 | IIT, Guwahati
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Nothing to add to EE's eval from my end.

1) Please mention as many details as possible about your academics, research and work-ex, in terms of projects worked on, technologies used, roles/responsibilities handled, papers published/presented, awards/honors obtained, etc. All those have to be put in the misc details section of your UniSearch profile if you expect any help on Edulix. Also, before requesting for profile evaluations, please go through this excellent post.

2) Please take some time out to read these three threads in their entirety. PLEASE do that before asking questions about universities from a comparison perspective, or jobs, or coursework, or H-1B visas, or "placements", irrespective of which univ/department/program/major you're applying to.

I love to read, and then I regurgitate. I write - a lot - as my posts here and on other outlets would show. I do not make apologies for what I write (and how long it is). I do not sugarcoat things either. I don't tolerate vague questions, for any reasons - ignorance arising out of an inability to locate information when the necessary tools to do so (i.e. the internet, libraries, university websites, other forums/bulletin boards, etc.) are readily available, is not any kind of an acceptable excuse.

"Don't be daft." - Ancalagon The Black

"With the exchange rate where it is now, it should be a strong deterrent against picking a slightly better program for a lot more tuition fees." - coolguru
11-22-2017 04:14 AM
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