Karthick PANNER SELVAM
Scholar

Karthick PANNER SELVAM

Google Scholar ID: PFZV6zEAAAAJ
University of Luxembourg
ML for SystemsDeep LearningGraph Neural NetworkFoundation ModelPerformance Modelling
Citations & Impact
All-time
Citations
38
 
H-index
4
 
i10-index
2
 
Publications
17
 
Co-authors
7
list available
Resume
Academic Achievements
  • His research contributions have been accepted at workshops and conferences, including MLSys @ NeurIPS 2023, WANT @ ICML 2024, Foundation Models for Science @ NeurIPS 2024, PhD Consortium @ KDD 2024, EuroPAR, PDP, and ICDCS. His Ph.D. research was also featured by FNR (Luxembourg National Research Fund) and HIPEAC Info Magazine 75th edition (three minute thesis).
Research Experience
  • Collaborated with AI research labs including Google DeepMind and OpenAI. Worked as an AI researcher for Frontier Development Lab Europe 2024.
Education
  • Ph.D. in ML for Systems. His Ph.D. research was part of the EuroHPC MALESTROM project, where he developed performance models for deep learning workloads.
Background
  • Working on the PyTorch compiler at Meta, with expertise in ML for Systems, Performance Modeling, GNNs, LLMs, and Multimodal Learning.
Miscellany
  • Connect with him on LinkedIn and Twitter.