Ahmed Jalal Fakher

National University of Science and Technology

Papers

1

Total Citations

4

H-Index

1

About

Ahmed Jalal Fakher is a rising scholar at the forefront of artificial intelligence research, with a concentrated focus on generative AI and large language models (LLMs). His most cited work, "Multidimensional Impacts of Generative AI and an In-Depth Analysis of LLMs with Their Expanding Horizons in Technology and Society" (2024), has already garnered 4 citations, signaling growing recognition of his contributions. In this pivotal paper, Fakher systematically examines how generative AI has catalyzed a paradigm shift in technology, particularly through LLMs that have fundamentally redefined human-machine communication by enabling machines to read and write with unprecedented fluency. His analysis goes beyond technical capabilities to explore the profound societal implications, addressing how these technologies are reshaping industries, creative processes, and daily interactions. Fakher's work stands out for its comprehensive, multidimensional approach—bridging technical innovation with ethical and social considerations. As a researcher documenting one of the most transformative technological developments of our era, his insights are becoming essential reading for those seeking to understand both the promises and challenges of our AI-driven future.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Multidimensional Impacts of Generative AI and an In-Depth Analysis of LLMs with Their Expanding Horizons in Technology and Society
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: National University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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