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application template
This is a template that is highly recommended to follow for your student applications for GeomScale GSoC projects. It is based on the respective template of the R-project for GSoC.
Please read this application for GSoC 2019 to have an idea how a successful application looks like.
Project title:
Project short title (30 characters):
URL of project idea page:
Provide a brief (text) biography, and why you think your background qualifies you for this project.
Student name:
Student postal address:
Telephone(s):
Email(s): (make sure to include the email you've registered on the google system with, as well as any other good ways to contact you)
Other communications channels: Skype/Google+, etc. :
Institution:
Program:
Stage of completion:
Contact to verify:
Please list any schedule conflict that will interfere with you treating your proposed GCoC project as a full time job in the summer. If you are applying to other internships, or have other commitments, list them.
Main mentor name and email:
Co-mentor name(s) and email(s): (at least one co-mentor required, who has to be from a different physical institution from the evaluating mentor)
Have you been in touch with the mentors? When and how?
Describe in detail your plan for completing the work. What functions will be written, how and when will you do design, how will you verify the results of your coding? The sub-section headings below are examples only. Each project is different, please make your application appropriate to the work you propose.
Describe perceived obstacles and challenges, and how you plan to overcome them.
The best GSoC applications tend to be 10+ pages printed. Planning is a key part of a successful project, and demonstrates to the mentors that you are qualified and engaged.
(consult GSOC schedule)
Provide a detailed timeline of how you plan to spend your summer. Don't leave testing and documentation for last, as that's almost a guarantee of a failed project.
Make sure to identify what you plan to accomplish in each month of the project. Google has asked organizations to be more directive about milestones. Also be sure to identify what you will accomplish between acceptance and the official start of coding. (Hint: establishing your build environment and researching existing work shouldn't wait till project start)
What is your contingency plan for things not going to schedule? We understand things change, but how are you planning to address changes and setbacks?
If you have other time commitments that will interfere with GSoC, we highly recommend explaining how you will front-load the work before coding start or work extra early on to build a cushion!
How do you propose to ensure code is submitted / tested?
How often do you plan to commit? What changes in commit behavior would indicate a problem?
Describe the qualification test that you have submitted to you project mentors. If feasible, include code, details, output, and example of similar coding problems that you have solved.
Name:Rohit Email:phoenixrao885@gmail.com GitHub:https://github.com/phoenixrao885/gsoc-monte-carlo-solutions Test done :monte carlo integration -Easy,Medium,Hard,Bonus
Name: Prajwal Bagal Email: prajwalbagal99@gmail.com Github: https://github.com/Prajwalbagal/GeomScaleTest
Name:Abhishek Agrawal Email:abhishekagrawal8764@gmail.com GitHub:Easy-task: https://github.com/abhishek8764/Monte-Carlo-Integration
Name: Divesh Kuamar Email: f20170875@pilani.bits-pilani.ac.in Task-Link(Easy Randomized LP solver): https://github.com/diveshkr-code/Geomscale_Gsoc2020`
Name: Deifilia To Email: deifilia.to@mail.mcgill.ca Task-link: (Easy and Medium of Apothesis): https://github.com/DeifiliaTo/Apothesis_gsoc
Name: Soumyajit Chakraborty Email: soumyajit1729@gmail.com Task-Link(Easy Task of Apothesis): https://github.com/soumyajit1729/Apothesis
Name: Soumyajit Chakraborty Email: soumyajit1729@gmail.com Task-Link(Medium Task of Apothesis): https://github.com/soumyajit1729/Apothesis
Name: Soumyajit Chakraborty Email: soumyajit1729@gmail.com Task-Link(Hard Task of Apothesis): https://docs.google.com/presentation/d/1mX4UA3x8cs6--aCZ_cN2ZNB6jr3eC7P5sbiEB92YEC0/edit?usp=sharing
Name:Abhishek Agrawal Email:abhishekagrawal8764@gmail.com GitHub:Medium-task: https://github.com/abhishek8764/Monte-Carlo-Integration
Name: Alexandros Manochis, Email: alex.manochis@gmail.com, Github: https://github.com/AlexManochis/volume_approximation/tree/gsoc20, Project: A comparative study of uniform high dimensional samplers, Tests completed: Easy, Medium, Hard
Name: Sunit Gautam Email: gsunit@iitk.ac.in, gautamsunit6206@gmail.com GitHub: https://github.com/gsunit/Monte-Carlo-Intergration Tasks completed: Monte Carlo integration - Easy, Medium, Hard
Name: Vaibhav Thakkar
Email: vaibhav.thakkar.22.12.99@gmail.com
GitHub: https://github.com/vaithak/GeomScale_LP
Tasks completed: Randomized LP - Easy, Medium, Hard
Name: Sharat Bhat Email: iamsharatbhat@gmail.com Github: https://github.com/Sharat-Bhat Tasks: https://github.com/Sharat-Bhat/GSoC_volesti
Name: Kunal Katiyar Email: katiyarkunal2011@gmail.com GitHub: https://github.com/KunalKatiyar/GSoC_RandLP
Name: Reyan Ahmed Email: abureyanahmed@email.arizona.edu GitHub: https://github.com/abureyanahmed/VolEsti_test
Name:Abhishek Agrawal Email:abhishekagrawal8764@gmail.com GitHub:Easy-task: https://github.com/abhishek8764/A-comparative-study-of-uniform-high-dimensional-samplers
Name: Sushovan Haldar Email: sushovan97@gmail.com Github: Easy task of using volesti : https://github.com/SushovanHaldar/geomscalecodes
Name: Anastasios Sourpis Email: sourpisa@gmail.com Github: Apothesis : https://github.com/pithonas/Apothesis
Name: Daniel Pozo Email: danipozo@correo.ugr.es GitHub: https://github.com/danipozo/uld-test-solutions
Name: Iasonas Nikolaou Email: iasonasnikolaou11@hotmail.com GitHub: (Easy and medium task, randomized LP) https://github.com/jasonNikolaou/GeomScale_gsoc
Name: Fernando Martin Email: fdmartin92 (at) gmail (dot) com GitHub: https://github.com/fmartin92/GeomScale_MonteCarlo (All tasks corresponding to the Monte Carlo integration proposal)
Name: Marios Papachristou Email: papachristoumarios [at) gmail (dot] com GitHub: https://github.com/papachristoumarios/geomscales-challenge (All challenges for ULD)
Name: Eugenio Borghini Email: eugenusb@gmail.com GitHub: https://github.com/eugenusb/GeomScale_LP (Easy and medium test projects for the randomized LP solver)
Name: Muhammad Ali Nayeem Email: nayeem007@gmail.com GitHub: https://github.com/ali-nayeem Test: https://github.com/ali-nayeem/gsoc2020_rand_LP_solver
Name: Bychkov Andrey Email: abychkov@edu.hse.ru GitHub: https://github.com/AndreyBychkov Test: https://github.com/AndreyBychkov/LIPA (Hard for Optimization and SOS)
Name: Yuan Yuan Email: yzy0014@auburn.edu Github:https://github.com/yzy0014 Test:https://github.com/yzy0014/GeomScale Test demo:https://rpubs.com/yzy0014/584976, https://rpubs.com/yzy0014/585064 (High dimensional sampling with applications to structural biology)
Name: Haris Zafeiropoulos Email: haris-zaf@hcmr.gr Github:https://github.com/hariszaf/ Test:https://hariszaf.github.io/gsoc2020/
Name: Mokhwa Lee
Email: pos00102@gmail.com OR mokhwa.lee@stonybrook.edu
Github: https://github.com/Mokhwalee
Test: https://github.com/Mokhwalee/Exercise-Gsos
( Monte Carlo - Easy, Medium, Hard, Bonus )
Name: Antonis Skarlatos
Email: antonisskarlatosj@gmail.com
Github: https://github.com/Hepic/
Test: https://github.com/Hepic/Monte-Carlo-integration
(Monte-Carlo-integration: easy/medium/hard/bonus Languages used: R/C++)
Name: Konstantinos Emmanouilidis
Email: emmanouilidis.kons@gmail.com
Github: https://github.com/emmanouilidisk
Test: https://github.com/emmanouilidisk/GeomScale_challenges
(Challenges for Randomised LP Solver)
Name: Imrane Belhadia Email: imrane.belhadia@polymtl.ca Github:https://github.com/ImraneBELH Test: https://github.com/ImraneBELH/gsocEvaluation-MonteCarlo.git (Monte Carlo)
Name: Repouskos Panagiotis Email: panagiotisrep@gmail.com Github: https://github.com/panagiotisrep/volume_approximation/tree/Optimization , https://github.com/panagiotisrep/volume_approximation/tree/SDP-cutting-plane Test: Randomized SDP solver (medium, hard)
Name: Mohammad Taufeeque
Email: 9taufeeque9@gmail.com
Github: https://github.com/taufeeque9
Test: https://github.com/taufeeque9/GSoC_Randomized_SDP_Solver_Test
(Easy and hard task for Randomized SDP Solver)
Name: Bento Natura
Email: b.natura@lse.ac.uk
Github: https://github.com/platformconclude/volume_approximation/tree/spectra_sampling
Test: Randomized SDP solver (medium)
Github: https://github.com/platformconclude/simple_LP_IPM
Test: Interior point method for linear programming (IPM)
Name: Ritwik Chakraborty
Email: ritwikchakraborty.ritwik@gmail.com
Github: https://github.com/ritwikchakraborty123
Test: :A comparative study of uniform high-dimensional samplers (medium)