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Muhammad Umer Sheikh

dblp:378/1663 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 first-author · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Environmental and earth informatics · 100%
Artificial intelligence
1 paper
Multi-agent systems · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems › agentic AI
agentic workflow
0.312026
GCA Framework: A GCC Countries-Grounded Dataset and Agentic Pipeline for Climate Decision Support · ACL (1) 2026

Methods — techniques the papers use, named apart from their topics

large language model agents · 2.0
YearPublicationVenuePosition
2026 GCA Framework: A GCC Countries-Grounded Dataset and Agentic Pipeline for Climate Decision Support
abstract
Muhammad Umer Sheikh, Khawar Shehzad, Salman Khan, Fahad Shahbaz Khan, Muhammad Haris Khan. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Muhammad Umer Sheikh, Khawar Shehzad, Salman Khan 0001, Fahad Shahbaz Khan, Muhammad Haris Khan
ACL (1)1
2024 Bird Whisperer: Leveraging Large Pre-trained Acoustic Model for Bird Call Classification
Muhammad Umer Sheikh, Hassan Abid, Bhuiyan Sanjid Shafique, Asif Hanif, Muhammad Haris Khan
INTERSPEECH1