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PANNER SELVAM Karthick

Main Referenced Co-authors
BRORSSON, Mats  (4)
LEYER, Stephan  (4)
Andreas, Thomas (3)
ADILI, Tahmineh  (1)
Moonesi Shabestary, Amirhossein (1)
Main Referenced Keywords
Deep learning (2); Computer Science (all) (1); deep learning (1); Deep Learning Benchmark (1); Graph neural network (1);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SEDAN - Service and Data Management in Distributed Systems (3)
University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > > (1)
Main Referenced Disciplines
Computer science (5)
Mechanical engineering (4)
Energy (1)

Publications (total 10)

The most downloaded
616 downloads
PANNER SELVAM, K. (2025). Performance Prediction Models for Deep Learning: A Graph Neural Network and Large Language Model Approach [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/64557 https://hdl.handle.net/10993/64557

The most cited

1 citations (Scopus®)

PANNER SELVAM, K., & BRORSSON, M. H. (2024). Can Semi-Supervised Learning Improve Prediction of Deep Learning Model Resource Consumption? International Journal of Advanced Computer Science and Applications, 15 (6), 74 - 83. doi:10.14569/IJACSA.2024.0150610 https://hdl.handle.net/10993/62221

PANNER SELVAM, K. (2025). Performance Prediction Models for Deep Learning: A Graph Neural Network and Large Language Model Approach [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/64557

PANNER SELVAM, K. S., Andreas, T., & Nadler, M. (23 October 2024). CFD assessment of shock flow evolution during oxygen pressure surge test [Paper presentation]. 16th Symposium on Flammability and Sensitivity of Materials in Oxygen-Enriched Atmospheres, Prague, Czechia.
Peer reviewed

PANNER SELVAM, K. S., LEYER, S., & Andreas, T. (23 October 2024). Advancing oxygen safety: A State-of-the-Art experimental facility dedicated to researching pressure surge in oxygen systems [Paper presentation]. 16th Symposium on Flammability and Sensitivity of Materials in Oxygen-Enriched Atmospheres, Prague, Czechia.
Peer reviewed

PANNER SELVAM, K. S., Andreas, T., & LEYER, S. (05 July 2024). Data driven insights into oxygen pressure surge testing [Paper presentation]. Modelling, Data Analytics, and AI in Engineering, Porto, Portugal.

PANNER SELVAM, K., & BRORSSON, M. H. (2024). Can Tree-Based Model Improve Performance Prediction for LLMs? ARC-LG workshop at 51st International Symposium on Computer Architecture.
Peer reviewed

PANNER SELVAM, K., & BRORSSON, M. H. (2024). Can Semi-Supervised Learning Improve Prediction of Deep Learning Model Resource Consumption? International Journal of Advanced Computer Science and Applications, 15 (6), 74 - 83. doi:10.14569/IJACSA.2024.0150610
Peer reviewed

PANNER SELVAM, K. S., LEYER, S., & Zacharias, T. (2023). EFFICIENCY INCREASE OF A WASTE-TO-ENERGY POWER PLANT. https://orbilu.uni.lu/handle/10993/64870

PANNER SELVAM, K., & BRORSSON, M. H. (2023). Performance Analysis and Benchmarking of a Temperature Downscaling Deep Learning Model. In 31st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, Naples, Italy 1-3 March 2023.
Peer reviewed

PANNER SELVAM, K., & BRORSSON, M. H. (2022). Performance Modeling of Weather Forecast Machine Learning for Efficient HPC. In International Conference on Distributed Computing Systems (ICDCS), Italy 10-13 July 2022 (42nd, pp. 1268-1269). Bologna, Italy: IEEE. doi:10.1109/ICDCS54860.2022.00127
Peer reviewed

ADILI, T., LEYER, S., PANNER SELVAM, K. S., & Moonesi Shabestary, A. (10 March 2022). HEAT TRANSFER ASSESSMENT OF THE COSMEA TEST FACILITY COOLING SIDE [Paper presentation]. 19th International Topical Meeting on Nuclear Reactor Thermalhydraulics (NURETH-19), Brussels, Belgium.
Peer reviewed

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