# M. A. Aleem Pasha

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/m-a-aleem-pasha/

## Facts

| Field | Value |
| --- | --- |
| Citations | 13 |
| Field | Advanced Graph Neural Networks |
| h-index | 2 |
| i10-index | 0 |
| OpenAlex ID | https://openalex.org/A5104028981 |
| Works | 9 |

## Researcher papers

- [Integrating a Knowledge Base with an open Hypermedia System and its application in an Industrial Environment](https://scholariq.org/papers/integrating-a-knowledge-base-with-an-open-hypermedia-system-and-its-application/)
- [Design and Development of Autonomous Warehouse Management Robot with Intelligent Software Framework](https://scholariq.org/papers/design-and-development-of-autonomous-warehouse-management-robot-with-intelligent/)
- [An analysis of Challenges face by WEBRTC Videoconferencing and a Remedial Architecture.](https://scholariq.org/papers/an-analysis-of-challenges-face-by-webrtc-videoconferencing-and-a-remedial/)
- [Meta-Learning Guided Pruning for Few-Shot Plant Pathology on Edge Devices](https://scholariq.org/papers/meta-learning-guided-pruning-for-few-shot-plant-pathology-on-edge-devices/)
- [Meta-Learning Guided Pruning for Few-Shot Plant Pathology on Edge Devices](https://scholariq.org/papers/meta-learning-guided-pruning-for-few-shot-plant-pathology-on-edge-devices-2/)
- [Hierarchical Sparse Circuit Extraction from Billion-Parameter Language Models through Scalable Attribution Graph Decomposition](https://scholariq.org/papers/hierarchical-sparse-circuit-extraction-from-billion-parameter-language-models/)
- [Constraint-Aware Neurosymbolic Uncertainty Quantification with Bayesian Deep Learning for Scientific Discovery](https://scholariq.org/papers/constraint-aware-neurosymbolic-uncertainty-quantification-with-bayesian-deep/)
- [Constraint-Aware Neurosymbolic Uncertainty Quantification with Bayesian Deep Learning for Scientific Discovery](https://scholariq.org/papers/constraint-aware-neurosymbolic-uncertainty-quantification-with-bayesian-deep-2/)
- [Hierarchical Sparse Circuit Extraction from Billion-Parameter Language Models through Scalable Attribution Graph Decomposition](https://scholariq.org/papers/hierarchical-sparse-circuit-extraction-from-billion-parameter-language-models-2/)

## Researcher topics

- [Advanced Graph Neural Networks](https://scholariq.org/topics/advanced-graph-neural-networks/)
- [Explainable Artificial Intelligence (XAI)](https://scholariq.org/topics/explainable-artificial-intelligence-xai/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Adversarial Robustness in Machine Learning](https://scholariq.org/topics/adversarial-robustness-in-machine-learning/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.