GSoC 2020 End of Program Meeting: Students Presentations
Thursday, 3 September 2020 -
17:00
Monday, 31 August 2020
Tuesday, 1 September 2020
Wednesday, 2 September 2020
Thursday, 3 September 2020
17:00
Introduction
-
Andrei Gheata
(
CERN
)
Introduction
Andrei Gheata
(
CERN
)
17:00 - 17:10
17:10
Cosmic ray Imaging studies via Mission Imagery in Space (CRISMIS)
-
Nidhi Hegde
Cosmic ray Imaging studies via Mission Imagery in Space (CRISMIS)
Nidhi Hegde
17:10 - 17:14
17:14
Hist: Histogramming for Analysis powered by Boost-histogram
-
Shuo Liu
Hist: Histogramming for Analysis powered by Boost-histogram
Shuo Liu
17:14 - 17:18
17:18
Framework for Automating the Retrieval and Analysis of System Information of ALICE Grid sites in WLCG
-
Kalana Wijethunga
Framework for Automating the Retrieval and Analysis of System Information of ALICE Grid sites in WLCG
Kalana Wijethunga
17:18 - 17:22
17:22
Local replica of JAliEn central services for research and development
-
Animesh Narayan Dangwal
Local replica of JAliEn central services for research and development
Animesh Narayan Dangwal
17:22 - 17:26
17:26
GeoModelExplorer, interactive 3D geometry visualization - Development of a visualization tool to interactively explore the geometry of a HEP detector
-
Huajian Qiu
GeoModelExplorer, interactive 3D geometry visualization - Development of a visualization tool to interactively explore the geometry of a HEP detector
Huajian Qiu
17:26 - 17:30
17:30
Deep autoencoders for ATLAS data compression
-
Honey Gupta
Deep autoencoders for ATLAS data compression
Honey Gupta
17:30 - 17:34
17:34
Enable Modules on Windows
-
Vaibhav Garg
Enable Modules on Windows
Vaibhav Garg
17:34 - 17:38
17:38
Intelligent Alert Management System For HEP experiments
-
Rahul Indra
Intelligent Alert Management System For HEP experiments
Rahul Indra
17:38 - 17:42
17:42
Reduce boost dependence in CMSSW
-
Lucas Camolezi
Reduce boost dependence in CMSSW
Lucas Camolezi
17:42 - 17:46
17:46
End-to-end Deep Learning Reconstruction for CMS experiment
-
Shravan Chaudhari
End-to-end Deep Learning Reconstruction for CMS experiment
Shravan Chaudhari
17:46 - 17:50
17:50
Awkward Array GPU kernels
-
Anish Biswas
Awkward Array GPU kernels
Anish Biswas
17:50 - 17:54
17:54
Workflow configuration import and validation for AliECS
-
Ayaan Zaidi
Workflow configuration import and validation for AliECS
Ayaan Zaidi
17:54 - 17:58
17:58
Break
Break
17:58 - 18:06
18:06
Extend SkyhookDM programmable object storage with statistics, sort/aggregate, or data compaction functions.
-
Aditi Gupta
Extend SkyhookDM programmable object storage with statistics, sort/aggregate, or data compaction functions.
Aditi Gupta
18:06 - 18:10
18:10
Pre-conditioners applied to ROOT compression algorithms
-
Keisuke Kamahori
Pre-conditioners applied to ROOT compression algorithms
Keisuke Kamahori
18:10 - 18:14
18:14
Native desktop integration for Exascale LHC Data Management
-
Vivek Nigam
Native desktop integration for Exascale LHC Data Management
Vivek Nigam
18:14 - 18:18
18:18
Phoenix, interactive data visualization - Development of an experiment independent javascript event display framework and data format
-
Fawad Ali
Phoenix, interactive data visualization - Development of an experiment independent javascript event display framework and data format
Fawad Ali
18:18 - 18:22
18:22
Making Exabytes of LHC data seamlessly accessible on Jupyter Notebooks
-
Muhammad Aditya Hilmy
Making Exabytes of LHC data seamlessly accessible on Jupyter Notebooks
Muhammad Aditya Hilmy
18:22 - 18:26
18:26
TMVA Deep Learning Developments - 3D Convolutions
-
Surya Dwivedi
TMVA Deep Learning Developments - 3D Convolutions
Surya Dwivedi
18:26 - 18:30
18:30
TMVA Interfaces - Pytorch
-
Anirudth Dagar
TMVA Interfaces - Pytorch
Anirudth Dagar
18:30 - 18:34
18:34
Support for Rucio Users with Native Language Processing
-
Vasilis Mageirakos
Support for Rucio Users with Native Language Processing
Vasilis Mageirakos
18:34 - 18:38
18:38
Fast Merging of RNTuple Data Sets
-
Max Orok
Fast Merging of RNTuple Data Sets
Max Orok
18:38 - 18:42
18:42
Kubernetes operator for XRootD
-
Shivansh Saini
Kubernetes operator for XRootD
Shivansh Saini
18:42 - 18:46
18:46
TMVA Graph Neural Networks
-
Stanislav Lukyanenko
TMVA Graph Neural Networks
Stanislav Lukyanenko
18:46 - 18:50
18:50
End of session
End of session
18:50 - 19:00
19:00
Building a Python-based framework for Unsupervised Deep Learning applications in strong lensing cosmology
-
Pranath Reddy
Building a Python-based framework for Unsupervised Deep Learning applications in strong lensing cosmology
Pranath Reddy
19:00 - 19:01