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20242026
most citedEmpirical Measurements of AI Training Power Demand on a GPU-Accelerated Node

23 citations · 23 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CR2026

HDKEM: Authentication Allocation for Deniable Hybrid Key Exchange

Kazi Hassan Shakib, Muhammad Asfand Hafeez, Arslan Munir

Deniable authenticated key exchange (DAKE) establishes a shared key without leaving transferable evidence that a party participated. We study DAKE protocols that authenticate each…

cs.CR2025

LSEG: A Lightweight and Secure Key Exchange Protocol for Smart Grid Communication

Amna Zafar, Muhammad Asfand Hafeez, Arslan Munir

The increasing deployment of the Internet of Things (IoT) edge devices in modern smart grid environments requires secure and efficient communication protocols specifically designed…

cs.CR2025

AmphiKey: A Dual-Mode Secure Authenticated Key Encapsulation Protocol for Smart Grid

Kazi Hassan Shakib, Muhammad Asfand Hafeez, Arslan Munir

AmphiKey, a dual-mode post-quantum/traditional (PQ/T) hybrid authenticated key exchange mechanism (AKEM) has been designed to secure smart grid communications against both classica…

cs.DC2025

Cooling Matters: Benchmarking Large Language Models and Vision-Language Models on Liquid-Cooled Versus Air-Cooled H100 GPU Systems

Imran Latif, Muhammad Ali Shafique, Hayat Ullah +3

The unprecedented growth in artificial intelligence (AI) workloads, recently dominated by large language models (LLMs) and vision-language models (VLMs), has intensified power and…

cs.AR2024★ 23 cited

Empirical Measurements of AI Training Power Demand on a GPU-Accelerated Node

Imran Latif, Alex C. Newkirk, Matthew R. Carbone +5

The expansion of artificial intelligence (AI) applications has driven substantial investment in computational infrastructure, especially by cloud computing providers. Quantifying t…