Achievements
Research Publications
Journal Articles
Biologically inspired neural network layer with homeostatic regulation and adaptive repair mechanisms
Authors: Hakim, M.A. & Alam, M.I.
Journal: Scientific Reports (Nature Portfolio), Vol. 15, Article 9114
Year: 2025
DOI: 10.1038/s41598-025-09114-8
First implementation of homeostatic regulation mechanisms in artificial neural network layers, demonstrating superior performance on biomedical datasets including AIDS, HIV, COX2, and protein analysis. Established theoretical foundation for biologically-faithful AI architectures through adaptive repair mechanisms.
Conference Proceedings
A Novel Neuroplasticity-Based Approach for Enhanced Generalization in Computer Vision
Lead Author: Hakim, M.A. | Co-authors: Ifty, R.A., Delowar, K.E., Shuvo, S.A., Tasneem, Z., Alam, M.I.
Venue: IEEE Conference Proceedings
Year: 2025
DOI: 10.1109/QPAIN66474.2025.11172203
Introduced BioLogicalNeuron architecture with calcium-dependent regulation and homeostatic control. Achieved 90.42% accuracy on CIFAR-10 (3.77% improvement over baseline), 99.43% on MNIST, and 93.27% on Fashion-MNIST, demonstrating enhanced generalization through biological principles.
NutriGuard: LLM-Driven Nutritional Assessment for Chronic Disease Prevention
Lead Author: Hakim, M.A. | Co-authors: Ifty, R.A., Delowar, K.E., Chowdhury, S.H., Rashid, I., Shakib, M.
Venue: IEEE Conference Proceedings
Year: 2025
DOI: 10.1109/QPAIN66474.2025.11171750
Developed multimodal AI framework integrating OCR, deep learning, and fine-tuned LLMs (Llama-3.2) for personalized nutrition management. Established multilingual, clinically-validated framework for dietary risk mitigation addressing chronic disease prevention.
Neuroadaptive Intelligence: A Biologically-Inspired, Self-Repairing Neural Layer with Adaptive Learning for Molecular Graph Classification
Author: Hakim, M.A. (sole author)
Venue: IEEE Conference Proceedings
Year: 2025
DOI: 10.1109/QPAIN66474.2025.11171860
Developed self-repairing neural layer architecture with adaptive learning mechanisms for molecular graph classification. Advanced biologically-inspired AI methodologies for drug discovery and molecular property prediction. Sole-author publication demonstrating independent research capability.
Honors & Recognition
2nd Runner-Up - AI Agent Development Competition
Organizer: Intent Company & International Islamic University Chittagong (IIUC)
Competition Scale: 200+ teams nationwide
Year: 2025
Secured 2nd Runner-Up position in Bangladesh's premier AI agent development competition, demonstrating expertise in multi-agent systems, autonomous decision-making architectures, and real-time AI orchestration.
Kaggle Notebooks Master
Platform: Kaggle
Achievement Date: 2024
Achieved Master tier on Kaggle through sustained creation of high-quality computational notebooks demonstrating expertise in data analysis, machine learning implementation, statistical modeling, and technical communication to the global data science community.