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Nasif Safwan

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01 — About

The Story
Behind the Code

Md. Nasif Safwan
AIUB · ARCHÉ

I'm Md. Nasif Safwan, a dedicated Computer Science & Engineering student at American International University-Bangladesh, and Co-Founder & Supervisor of Arché Intelligence Lab.

My research interests span Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Bioinformatics, with a focus on solving real-world challenges in healthcare, online safety, and sustainable agriculture through intelligent systems.

Driven by curiosity and a passion for technology, I am dedicated to advancing innovation to address societal issues, from healthcare and environmental sustainability to online safety and bias mitigation.

Arché Intelligence Lab Co-Founder & Supervisor
Dean's List Consistent academic excellence
02 — Expertise

Areas of
Specialization

Machine Learning & NLP

Advanced expertise in ML algorithms (SVM, Random Forests, KNN) and NLP with transformer models (BERT, DistilBERT, XLM-RoBERTa). Hate speech detection, sentiment analysis, and text classification.

PyTorch TensorFlow HuggingFace BERT

Computer Vision

Human interaction object detection, medical image classification, and self-supervised learning approaches for visual understanding tasks.

OpenCV CNNs YOLO SSL

Data Analysis & Visualization

Expert-level data manipulation with NumPy and Pandas. Creating impactful visualizations with Matplotlib, Seaborn, Plotly, and geographical plotting.

Pandas NumPy Plotly Seaborn

CI/CD for Machine Learning

Building robust CI/CD pipelines for ML projects — from model training and validation to automated deployment and monitoring.

Docker GitHub Actions MLflow DVC

Software Engineering

Full-stack development with C++, Python, JavaScript, PHP, and more. Building web applications, chatbots, and game development with OpenGL.

Python C++ JavaScript PHP

Bioinformatics

Applying computational methods to biological data, bridging the gap between AI research and healthcare innovation.

Genomics Medical AI Drug Discovery
03 — Projects

Featured
Works

AI / Chatbot

NasBot

A friendly AI companion for image generation, text-to-speech, speech-to-text, and 3D image creation.

AIMulti-Modal
Research / Medical AI

Self-Supervised Brain Tumor Classification

Self-supervised learning approach for classifying brain tumors from medical imaging data.

SSLMedical AICV
NLP / Research

Extremism Detection with BERT

Hate speech and extremism detection using advanced BERT transformer models with high accuracy.

BERTNLPTransformers
AI / Generative

PromptPix Chatbot

AI-powered chatbot that generates images using Stable Diffusion from text prompts.

Stable DiffusionGenAI
Game Dev

Mario Multiverse Adventures

2D game built with OpenGL and C++ featuring three levels, animations, physics, and audio integration.

C++OpenGL
Signal Processing

Signal Processing & Forecasting

Multi-variate signal processing and prediction system for trading bot applications.

DSPForecastingTrading
MLOps

CI/CD for Machine Learning

End-to-end CI/CD pipeline setup for machine learning projects ensuring reliable deployment.

MLOpsCI/CD
Computer Vision

Human Interaction Detection

Object detection models developed for recognizing and analyzing human interactions in visual data.

YOLODetectionCV
Web Development

Chewtopia – Food Delivery App

Food delivery app built using JavaScript, PHP, HTML, and CSS. Features user management and database operations.

PHPMySQLFull-Stack
04 — Research

Research
Profile

My research explores the intersection of machine intelligence and human language, focusing on solving real-world challenges in medical image classification, content moderation, sustainable agriculture, and bias mitigation. Several papers are currently under review in reputable journals.

Publications

Journal

T3SSLNet: Triple-Method Self-Supervised Learning for Enhanced Brain Tumor Classification in MRI - IEEE Access. DOI: 10.1109/ACCESS.2025.3589619

View Paper
Journal

OpthaNet: Attention-Integrated Architecture for High-Precision Multi-Class Ophthalmic Image Classification - Healthacare Technology Letters, 2025, Wiley. DOI:https://doi.org/10.1049/htl2.70067

View Paper
Journal

KbFL-XAI: Explainable Knowledge-Based Federated Learning for Eye Disease Diagnosis - Biomedical Engineering and Advances, Elsevier. DOI: 10.1016/j.bea.2025.100196

View Paper
Conference

SSChNet: Self Supervised Learning based pre-trained network for Child Speech Recognition - Presented in NCIM 2025. DOI: 10.1109/NCIM65934.2025.11160221

View Paper
Conference

VisionOcular: Transfer Learning with Self-Attention for Multi-Class Ocular Diagnosis - Presented in QPAIN 2025. DOI: 10.1109/QPAIN66474.2025.11171736

View Paper
Conference

MIME: Multi-Strategy Imbalance Mitigation Engine for Skin Cancer Classification - Presented in TCCE'25, Melaka, Malaysia.

Conference

BUSegNet: A Speckle-Aware Multi-Scale CNN with Noise Modeling and Gated Calibration for Breast Ultrasound Diagnosis - Presented in ICCIT, Cox's Bazar.

Conference

Lightweight Supervised Approach for Behavioral Insider Anomaly Detection from SQL Logs - Presented in ICCIT, Cox's Bazar.

Conference

Parental Influence in Shaping Student Performance: A Data-Driven Study in Bangladesh - Presented in 7th IEOM International Conference, Dhaka, Bangladesh. DOI: BA07.20240171

View Paper
Conference

CropGuardian: Revolutionizing Agriculture with AI-Driven Smart Farming Solutions - Presented in ICAMBE, BAU, Mymensingh, Bangladesh.

Under Review (Pre-print)

Ethic-BERT: An Enhanced Deep Learning Model for Ethical and Non-Ethical Content Classification - under peer review on AI and Ethics, SpringerNature.

05 — Achievements

Milestones &
Recognition

Dean's List Honor

Five consecutive academic sessions at AIUB, maintaining a high CGPA of 3.94.

Academic Scholarship

Received 70% academic scholarship at AIUB based on merit.

Physics Poster Competition Winner

Organized by Department of Physics, AIUB.

Regional Winner & National Participant

Biology Olympiad 2017: Organized by BDBO.

2017

Leadership & Extracurriculars

Organizer of National Ideas Challenge, Blood Donation, Winter Clothing Drive. HR at Oder Eid Amader Khushi(2025). Member of AIUB Robotic Crew & IEEE Student Branch.

AIUB World Cup 2023

Third Place Winner and Man of the Match in the university's flagship sports event (AWC'23).

2023
06 — Contact

Let's Build
Something Great

I'm always open to discussing new projects, research collaborations, or opportunities to create meaningful impact through AI and technology.

nasifsafwan@gmail.com