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