Naheed Anjum Arafat

Naheed is a post-doctoral fellow at Howard University DoD Center of Excellence in AI & ML . He has extensive experience as a Research Fellow at Rolls-Royce@NTU Corporate Lab, Nanyang Technological University (NTU), Singapore (2021-2024). At RR@NTU Corp Lab, he contributed to cutting-edge advancements in graph-based AI for computational physics simulation. He holds a Ph.D. in Computer Science from the National University of Singapore (2020), specializing in hypergraphs (higher-order graphs) and topological data analysis.
Naheed’s expertise encompasses graph representation learning, adversarially robust learning, and hypergraph data mining, with applications in privacy, cybersecurity, and computational physics. His contributions have been recognized through publications in premier venues such as ICML, ICLR, AAAI, VLDB, among others as well as two patents granted by the UK and US Intellectual Property Office.
Services:
- PC Member: CODS-COMAD 2025, CODS-COMAD 2024, TKDE 2023, TKDE 2021, SKIMA 2014
- Session Chair: VLDB 2023
- Reviewer: ICML 2025, ICLR 2025, ICDE 2025, LoG 2024, NeurIPS 2024, CIKM 2024, JACT, DASFAA 2020, DAWAK 2020, ICDE 2018, VLDB 2017, DEXA 2017
news
Jan 22, 2025 | Our paper on Logical Consistency of LLMs in Fact-Checking has been accepted at ICLR 25 (acceptance rate 32.08%). Paper Link |
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Dec 9, 2024 | Our paper on Adversarial robustness of GNNs has been accepted at AAAI 25 (acceptance rate 23.4%). Paper Link Slides |
Sep 24, 2024 | New arXiv paper on Adversarial robustness of GNNs ( Paper Link ) |
Jul 24, 2024 | Paper on measuring and reducing uncertainty of uncertain graphs has been accepted at IEEE DSAA 2024 (acceptance rate 26%) ( Paper ) ( Slides ) ( Code ) |
Jun 12, 2024 | Paper on improving the fidelity of data-driven GNN models for fluid flow prediction selected for Spotlight at ICML 2024 (Only 3.5 % of the accepted papers) |
May 2, 2024 | Paper on improving the fidelity of data-driven GNN models for fluid flow prediction accepted at ICML 2024 (Acceptance rate 27.5 %) |
latest posts
Jun 20, 2024 | ICML24 poster |
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