# Md Asifur Rahman

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/md-asifur-rahman/

## Facts

| Field | Value |
| --- | --- |
| Citations | 126 |
| Field | Adversarial Robustness in Machine Learning |
| h-index | 5 |
| i10-index | 3 |
| Last Known Institution | American International University-Bangladesh |
| OpenAlex ID | https://openalex.org/A5017750516 |
| ORCID iD | 0000-0001-9020-2789 |
| Works | 23 |

## Researcher papers

- [A Pharmacological and Phytochemical Evaluation of Medicinal Plants Used by the Harbang Clan of the Tripura Tribal Community of Mirsharai Area, Chittagong District, Bangladesh](https://scholariq.org/papers/a-pharmacological-and-phytochemical-evaluation-of-medicinal-plants-used-by-the/)
- [Plant Disease Detection Based on YOLOv3 and YOLOv4](https://scholariq.org/papers/plant-disease-detection-based-on-yolov3-and-yolov4/)
- [Augmented Reality for Learning Calculus: A Research Framework of Interactive Learning System](https://scholariq.org/papers/augmented-reality-for-learning-calculus-a-research-framework-of-interactive/)
- [An adaptive background modeling based on modified running Gaussian average method](https://scholariq.org/papers/an-adaptive-background-modeling-based-on-modified-running-gaussian-average/)
- [A novel policy-graph approach with natural language and counterfactual abstractions for explaining reinforcement learning agents](https://scholariq.org/papers/a-novel-policy-graph-approach-with-natural-language-and-counterfactual/)
- [Interactive Learning System for Learning Calculus](https://scholariq.org/papers/interactive-learning-system-for-learning-calculus/)
- [Adversarial Behavior Exclusion for Safe Reinforcement Learning](https://scholariq.org/papers/adversarial-behavior-exclusion-for-safe-reinforcement-learning/)
- [LSTM-Based Anomalous Behavior Detection in Multi-Agent Reinforcement Learning](https://scholariq.org/papers/lstm-based-anomalous-behavior-detection-in-multi-agent-reinforcement-learning/)
- [SQ-FMFO: A Novel Scalarized Multi-objective Q-Learning Approach for Fuzzy Membership Function Optimization](https://scholariq.org/papers/sq-fmfo-a-novel-scalarized-multi-objective-q-learning-approach-for-fuzzy/)
- [Weaponizing Actions in Multi-Agent Reinforcement Learning: Theoretical and Empirical Study on Security and Robustness](https://scholariq.org/papers/weaponizing-actions-in-multi-agent-reinforcement-learning-theoretical-and/)

## Researcher topics

- [Adversarial Robustness in Machine Learning](https://scholariq.org/topics/adversarial-robustness-in-machine-learning/)
- [Agricultural Economics and Practices](https://scholariq.org/topics/agricultural-economics-and-practices/)
- [Reinforcement Learning in Robotics](https://scholariq.org/topics/reinforcement-learning-in-robotics/)
- [Augmented Reality Applications](https://scholariq.org/topics/augmented-reality-applications/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

## Researcher university

- [American International University-Bangladesh](https://scholariq.org/institutions/american-international-university-bangladesh/)

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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.