-
Notifications
You must be signed in to change notification settings - Fork 3
table of proposed coding projects
Mentors, please edit this wiki page, and add your ideas to the table below.
Students, please look for a project that interests you in the table below. Before emailing project mentors, please do at least one project test and post a link to your solution on the proposal's wiki page.
Proposal | Mentors | Languages |
---|---|---|
MENTORS-COPY-THIS-TEMPLATE | ||
Monte Carlo integration | V Fisikopoulos, PZD Martires, S Kolb | C++/R |
Sampling for constrained based modelling | V Fisikopoulos, A Chalkis, E Tsigaridas | C++/R |
Apothesis: an open source C++ package for kinetic Monte Carlo | N Cheimarios, V Fisikopoulos | C++ |
Efficient MCMC sampling based on the ULD | A Chalkis, Z Zafeirakopoulos | C++/R |
Optimization and SOS | E Tsigaridas, V Fisikopoulos, F Rouillier | C++/R |
All student applications will be discussed by the GeomScale mentor community, and proposals will be ranked considering factors such as quality, student's ability to successfully finish the project, and impact for the GeomScale project. A finite number of slots will be granted to GeomScale by Google, if GeomScale is accepted as an org, thus only the best proposals will get chosen. This implies that it is possible that some ideas will not become GSoC projects even if they are supported by a good student application.
Students, if you are interested for a coding project related to GeomScale that is not listed above, please try to find mentors by posting a description of your project idea on the geomscale-gsoc google group. If you find mentors, feel free to add your project idea to this wiki and write an application.
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)