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Md Faizul Ibne Amin

Observed names: AMIN, Md Faizul Ibne, Amin, Md Faizul Ibne, Md Faizul Ibne AMIN, Md. Faizul Ibne Amin
ORCID: 0009-0001-0722-3536
Observed ORCID: 0009-0001-0722-3536
OpenAlex ID: A5061975231
Identifying algorithm in program code based on structural features using CNN classification model
2022 · Yutaka Watanobe, Md. Mostafizer Rahman, et al. · Applied Intelligence · 29
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Source Code Error Understanding Using BERT for Multi-Label Classification
2025 · Md Faizul Ibne Amin, Yutaka Watanobe, et al. · IEEE Access · 13
Multi-Label Code Error Classification Using CodeT5 and ML-KNN
2024 · Md. Faizul Ibne Amin, Atsushi Shirafuji, et al. · IEEE Access · 13
Edge Detection Technique by Histogram Processing with Canny Edge Detector
2020 · Md. Atiqur Rahman, Md Faizul Ibne Amin, et al. · IEEE International Conference on Knowledge Innovation and Invention (ICKII) · 13
Rule-Based Error Classification for Analyzing Differences in Frequent Errors
2023 · Atsushi Shirafuji, Taku Matsumoto, et al. · IEEE International Conference on Teaching, Assessment, and Learning for Engineering · 12
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Program Repair with Minimal Edits Using CodeT5
2023 · Atsushi Shirafuji, Md. Mostafizer Rahman, et al. · International Conference on Awareness Science and Technology (iCAST) · 8
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Impact of Programming Language Skills in Programming Learning
2022 · Md. Faizul Ibne Amin, Md. Mostafizer Rahman, et al. · IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) · 7
Similar Problems Recommendation Model to Support Programming Education
2023 · Daniel M. Muepu, Atsushi Shirafuji, et al. · International Conference on Information and Education Technology (ICIET) · 6
A Comprehensive Content-Based Recommendation System for Programming Problems Through Multi-Faceted Code Analysis
2025 · Daniel M. Muepu, Yutaka Watanobe, et al. · IEEE Access · 4
A Lightweight CNN-Based Pothole Detection Model for Embedded Systems Using Knowledge Distillation
2022 · Aminu Musa, Mohammed Hassan, et al. · Frontiers in artificial intelligence and applications · 4
Interpretable Machine Learning for Predicting and Explaining Code Submission Outcomes in an Online Judge System
2025 · Leonard Chukwualuka Nnadi, Dake Ding, et al. · Lecture notes in computer science · 3
Exploring Interference in Knowledge Transfer During the Acquisition of a New Programming Language by Novice Programmers
2024 · Daniel M. Muepu, Yutaka Watanobe, et al. · IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) · 2
Analysis of the Programming Languages Preferred by Novice Programmers for Solving Programming Problem
2023 · Md Faizul Ibne Amin, Md. Mostafizer Rahman, et al. · Asia Service Sciences and Software Engineering Conference (ASSE) · 2
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Watchtower Selection in Off-Blockchain PCN Using Peterson Leader-Election Algorithm
2022 · Md Faizul Ibne Amin, Yutaka Watanobe, et al. · Frontiers in artificial intelligence and applications · 2
Compressing Long Context into Answer-Aligned Memory Embeddings for LLM Inference
2026 · Rahman, Md Mostafizer, Amin, Md Faizul Ibne, et al. · arXiv (Cornell University)
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Cross-Group Aligned Problem Difficulty Clustering Using Attention-Weighted Feature Learning
2026 · Md. Shahajada Mia, Yutaka Watanobe, et al. · Research Square
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From Partial Correctness to Completion: Predicting Learners’ Early Success in Programming Practice
2026 · Md. Shahajada Mia, Yutaka Watanobe, et al. · Research Square
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Revision-Aware Success Prediction from Multi-Attempt Programming Trajectories
2026 · Amin, Md Faizul Ibne, Watanobe, Yutaka, et al. · arXiv (Cornell University)
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LLM-as-a-Judge for Human-AI Co-Creation: A Reliability-Aware Evaluation Framework for Coding
2026 · Amin, Md Faizul Ibne, Watanobe, Yutaka, et al. · arXiv (Cornell University)
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Error Understanding in Program Code: A Systematic Study of LLM-DL Combinations for Multi-label Classification
2026 · Amin, Md Faizul Ibne, Watanobe, Yutaka, et al. · arXiv (Cornell University)
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Source Code Error Categorization and Explanation by Retrieval Augmented Generation
2026 · Md Faizul Ibne Amin, Yutaka Watanobe, et al.
CodeT5-RNN: Reinforcing Contextual Embeddings for Enhanced Code Comprehension
2026 · Rahman, Md Mostafizer, Shiplu, Ariful Islam, et al. · arXiv (Cornell University)
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The Code Council: Orchestrating Heterogeneous Large Language Models for Robust Programming Scaffolding
2026 · Daniel M. Muepu, Yutaka Watanobe, et al. · IEEE Access
Predictive Modeling of Submissions and Learning Outcomes in Online Judge Systems
2025 · Md. Shahajada Mia, Yutaka Watanobe, et al. · IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)
LLM as a Judge
2025 · Md Faizul Ibne AMIN · Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
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Works count: 28
Citation count: 118
H-index: 7
I10-index: 5
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