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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:[email protected] GitHub:https://github.com/phoenixrao885/gsoc-monte-carlo-solutions Test done :monte carlo integration -Easy,Medium,Hard,Bonus
Name: Prajwal Bagal Email: [email protected] Github: https://github.com/Prajwalbagal/GeomScaleTest
Name:Abhishek Agrawal Email:[email protected] GitHub:Easy-task: https://github.com/abhishek8764/Monte-Carlo-Integration
Name: Divesh Kuamar Email: [email protected] Task-Link(Easy Randomized LP solver): https://github.com/diveshkr-code/Geomscale_Gsoc2020`
Name: Deifilia To Email: [email protected] Task-link: (Easy and Medium of Apothesis): https://github.com/DeifiliaTo/Apothesis_gsoc
Name: Soumyajit Chakraborty Email: [email protected] Task-Link(Easy Task of Apothesis): https://github.com/soumyajit1729/Apothesis
Name: Soumyajit Chakraborty Email: [email protected] Task-Link(Medium Task of Apothesis): https://github.com/soumyajit1729/Apothesis
Name: Soumyajit Chakraborty Email: [email protected] Task-Link(Hard Task of Apothesis): https://docs.google.com/presentation/d/1mX4UA3x8cs6--aCZ_cN2ZNB6jr3eC7P5sbiEB92YEC0/edit?usp=sharing
Name:Abhishek Agrawal Email:[email protected] GitHub:Medium-task: https://github.com/abhishek8764/Monte-Carlo-Integration
Name: Alexandros Manochis, Email: [email protected], 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: [email protected], [email protected] GitHub: https://github.com/gsunit/Monte-Carlo-Intergration Tasks completed: Monte Carlo integration - Easy, Medium, Hard
Name: Vaibhav Thakkar
Email: [email protected]
GitHub: https://github.com/vaithak/GeomScale_LP
Tasks completed: Randomized LP - Easy, Medium, Hard
Name: Sharat Bhat Email: [email protected] Github: https://github.com/Sharat-Bhat Tasks: https://github.com/Sharat-Bhat/GSoC_volesti
Name: Kunal Katiyar Email: [email protected] GitHub: https://github.com/KunalKatiyar/GSoC_RandLP
Name: Reyan Ahmed Email: [email protected] GitHub: https://github.com/abureyanahmed/VolEsti_test
Name:Abhishek Agrawal Email:[email protected] GitHub:Easy-task: https://github.com/abhishek8764/A-comparative-study-of-uniform-high-dimensional-samplers
Name: Sushovan Haldar Email: [email protected] Github: Easy task of using volesti : https://github.com/SushovanHaldar/geomscalecodes
Name: Anastasios Sourpis Email: [email protected] Github: Apothesis : https://github.com/pithonas/Apothesis
Name: Daniel Pozo Email: [email protected] GitHub: https://github.com/danipozo/uld-test-solutions
Name: Iasonas Nikolaou Email: [email protected] 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: [email protected] GitHub: https://github.com/eugenusb/GeomScale_LP (Easy and medium test projects for the randomized LP solver)
Name: Muhammad Ali Nayeem Email: [email protected] GitHub: https://github.com/ali-nayeem Test: https://github.com/ali-nayeem/gsoc2020_rand_LP_solver
Name: Bychkov Andrey Email: [email protected] GitHub: https://github.com/AndreyBychkov Test: https://github.com/AndreyBychkov/LIPA (Hard for Optimization and SOS)
Name: Yuan Yuan Email: [email protected] 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: [email protected] Github:https://github.com/hariszaf/ Test:https://hariszaf.github.io/gsoc2020/
Name: Mokhwa Lee
Email: [email protected] OR [email protected]
Github: https://github.com/Mokhwalee
Test: https://github.com/Mokhwalee/Exercise-Gsos
( Monte Carlo - Easy, Medium, Hard, Bonus )
Name: Antonis Skarlatos
Email: [email protected]
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: [email protected]
Github: https://github.com/emmanouilidisk
Test: https://github.com/emmanouilidisk/GeomScale_challenges
(Challenges for Randomised LP Solver)
Name: Imrane Belhadia Email: [email protected] Github:https://github.com/ImraneBELH Test: https://github.com/ImraneBELH/gsocEvaluation-MonteCarlo.git (Monte Carlo)
Name: Repouskos Panagiotis Email: [email protected] 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: [email protected]
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: [email protected]
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: [email protected]
Github: https://github.com/ritwikchakraborty123
Test: :A comparative study of uniform high-dimensional samplers (medium)