GSoC 2020 End of Program Meeting: Students Presentations
Thursday 3 Sept 2020, 17:00
→
19:01
Europe/Zurich
Andrei Gheata
(
CERN
)
,
Antoine Perus
(
Université Paris-Saclay (FR)
)
,
Xavier Valls Pla
(
CERN
)
17:00
→
17:10
Introduction
10m
Speaker
:
Andrei Gheata
(
CERN
)
EndMeeting-GSoC-2020.pdf
17:10
→
17:14
Cosmic ray Imaging studies via Mission Imagery in Space (CRISMIS)
4m
Speaker
:
Nidhi Hegde
CRISMIS- GSoC Presentation (1).pdf
17:14
→
17:18
Hist: Histogramming for Analysis powered by Boost-histogram
4m
Speaker
:
Shuo Liu
Hist Histogramming for Analysis powered by Boost-histogram.pdf
Hist Histogramming for Analysis powered by Boost-histogram.pptx
17:18
→
17:22
Framework for Automating the Retrieval and Analysis of System Information of ALICE Grid sites in WLCG
4m
Speaker
:
Kalana Wijethunga
Framework for Automating the Retrieval and Analysis of System Information of ALICE Grid sites in WLCG
Site Sonar-Lightning Talk.pdf
17:22
→
17:26
Local replica of JAliEn central services for research and development
4m
Speaker
:
Animesh Narayan Dangwal
GSoC Lightning Talk (1).pdf
17:26
→
17:30
GeoModelExplorer, interactive 3D geometry visualization - Development of a visualization tool to interactively explore the geometry of a HEP detector
4m
Speaker
:
Huajian Qiu
GeoModelExplorer-final metting.pdf
GeoModelExplorer, interactive 3D geometry visualization - Development of a visualization tool to interactively explore the geometry of a HEP detector
17:30
→
17:34
Deep autoencoders for ATLAS data compression
4m
Speaker
:
Honey Gupta
Deep-compression for HEP data - GSoC 2020 End of program meeting.pdf
17:34
→
17:38
Enable Modules on Windows
4m
Speaker
:
Vaibhav Garg
WinCXXModules Presentation - Org Admin.pdf
WinCXXModules Presentation - Org Admin.pptx
17:38
→
17:42
Intelligent Alert Management System For HEP experiments
4m
Speaker
:
Rahul Indra
Intelligent Alert system for HEP experiments.pdf
17:42
→
17:46
Reduce boost dependence in CMSSW
4m
Speaker
:
Lucas Camolezi
cmssw-finalpresentation.pdf
17:46
→
17:50
End-to-end Deep Learning Reconstruction for CMS experiment
4m
Speaker
:
Shravan Chaudhari
End-to-end Deep Learning Reconstruction for CMS Experiment.pdf
17:50
→
17:54
Awkward Array GPU kernels
4m
Speaker
:
Anish Biswas
GSoC Summary Meeting.pdf
17:54
→
17:58
Workflow configuration import and validation for AliECS
4m
Speaker
:
Ayaan Zaidi
AliECS Final Report (1).pdf
17:58
→
18:06
Break
8m
18:06
→
18:10
Extend SkyhookDM programmable object storage with statistics, sort/aggregate, or data compaction functions.
4m
Speaker
:
Aditi Gupta
Extend SkyhookDM programmable object storage with statistics, sort/aggregate, or data compaction functions.
GSoC 2020_ Aditi Gupta.pdf
18:10
→
18:14
Pre-conditioners applied to ROOT compression algorithms
4m
Speaker
:
Keisuke Kamahori
GSoC End of Program Presentation 2020.pdf
Pre-conditioners applied to ROOT compression algorithms
18:14
→
18:18
Native desktop integration for Exascale LHC Data Management
4m
Speaker
:
Vivek Nigam
Rucio_Desktop_Vivek_Nigam.pdf
18:18
→
18:22
Phoenix, interactive data visualization - Development of an experiment independent javascript event display framework and data format
4m
Speaker
:
Fawad Ali
phoenix-slides.pdf
18:22
→
18:26
Making Exabytes of LHC data seamlessly accessible on Jupyter Notebooks
4m
Speaker
:
Muhammad Aditya Hilmy
Rucio-SWAN Integration Project (Pitch Deck for GSoC).pdf
18:26
→
18:30
TMVA Deep Learning Developments - 3D Convolutions
4m
Speaker
:
Surya Dwivedi
TMVA Deep Learning Developments - 3D Convolutions
18:30
→
18:34
TMVA Interfaces - Pytorch
4m
Speaker
:
Anirudth Dagar
GSOC - TMVA PyTorch Interface (Final Eval).pdf
TMVA Interfaces - Pytorch
18:34
→
18:38
Support for Rucio Users with Native Language Processing
4m
Speaker
:
Vasilis Mageirakos
Donkeybot-3-min-talk.pdf
18:38
→
18:42
Fast Merging of RNTuple Data Sets
4m
Speaker
:
Max Orok
Fast Merging of RNTuple Data Sets
RNTuple GSoC presentation.pdf
18:42
→
18:46
Kubernetes operator for XRootD
4m
Speaker
:
Shivansh Saini
Kubernetes operator for XRootD
Kubernetes operator for XRootD.pdf
18:46
→
18:50
TMVA Graph Neural Networks
4m
Speaker
:
Stanislav Lukyanenko
Graph Nets in TMVa
Graph nets in TMVA.pdf
18:50
→
19:00
End of session
10m
19:00
→
19:01
Building a Python-based framework for Unsupervised Deep Learning applications in strong lensing cosmology
1m
Speaker
:
Pranath Reddy
DeepLense_Slides_Pranath.pdf