Achievements
AI Agent Competition Success
2nd Runner-Up - AI Agent Development Competition
Organizer: Intent Company in collaboration with International Islamic University Chittagong (IIUC)
Participants: Over 200 teams from across Bangladesh
This accomplishment reflects not only technical proficiency in AI development but also strategic thinking and problem-solving skills under competitive pressure. It serves as a testament to my dedication to excelling in the dynamic and rapidly evolving domain of Artificial Intelligence.
Conference Paper Publications
A Novel Neuroplasticity-Based Approach for Enhanced Generalization in Computer Vision
Authors: Md Azizul Hakim, Rashedul Arefin Ifty, Khaled Eabne Delowar, Samiul Azam Shuvo, Zarin Tasneem, Mohammad Ifazul Alam
Year: 2025
Venue: Conference Proceedings
This paper introduces a biologically inspired neural network layer—BioLogicalNeuron—that incorporates calcium-dependent regulation, homeostatic control, and adaptive repair strategies. The architecture achieves 90.42% accuracy on CIFAR-10 (3.77% improvement), 99.43% on MNIST, and 93.27% on Fashion-MNIST, demonstrating superior performance across multiple image classification benchmarks.
NutriGuard: LLM-Driven Nutritional Assessment for Chronic Disease Prevention
Authors: Md Azizul Hakim, Rashedul Arefin Ifty, Khaled Eabne Delowar, Sazzad Hossen Chowdhury, Imdadur Rashid, Md Shakib
Year: 2025
Venue: IEEE Conference Proceedings
This conference paper presents NutriGuard, an innovative system leveraging Large Language Models (LLMs) for comprehensive nutritional assessment aimed at preventing chronic diseases. The system analyzes dietary intake and health data to provide personalized recommendations and risk assessments.
Neuroadaptive Intelligence: A Biologically-Inspired, Self-Repairing Neural Layer
Author: Md Azizul Hakim
Year: 2025
Venue: Conference Proceedings
This conference paper introduces Neuroadaptive Intelligence, a novel approach inspired by biological systems. It details the development of a self-repairing neural layer incorporating adaptive learning mechanisms specifically designed for molecular graph classification, representing a significant contribution to biologically-inspired AI.
Continuous Learning Journey
These achievements represent milestones in my ongoing commitment to excellence in Artificial Intelligence and technology. Each recognition fuels my passion for innovation and drives me to tackle even greater challenges in the future.