I am building research-oriented AI systems at the intersection of Artificial Intelligence, Biomedical Science, Computational Biology, Molecular Design, Computer Vision, and Digital Humans.
My current work focuses on turning AI concepts into reproducible research projects and experimental intelligent systems.
These are my actively developing projects.
Status: 🟢 Active Research
Repository: MolecularIntelligence
MolecularIntelligence is an evolving AI research platform focused on chemical language modeling, molecular generation, molecular property prediction, and AI-assisted drug discovery.
The current system explores how AI can learn molecular representations from SMILES sequences and use them for molecular generation and evaluation.
- 🧪 Chemical Language Models
- 🧠 LSTM-based molecular modeling
- 🤖 Transformer-based molecular modeling
- 🧬 SMILES tokenization
- 🔬 De novo molecular generation
- 📊 Molecular validity evaluation
- ♻️ Novelty and diversity analysis
- 💊 Bioactivity-conditioned generation
- 🧮 Molecular property prediction
- 🧬 Future drug–target intelligence
Chemical Language Model
↓
Molecular Representation
↓
Molecule Generation
↓
Molecular Evaluation
↓
Property Prediction
↓
Drug–Target Intelligence
↓
Molecular Optimization
↓
AI-Assisted Drug Discovery
Long-term vision:
Move from Chemical Language Models toward a broader Molecular Intelligence system.
Status: 🟢 Active Research
Repository: DermAI-Research
DermAI-Research is a biomedical AI research platform for skin-lesion image analysis, dermatological classification, explainable AI, robust benchmarking, and clinically aware deep-learning research.
The goal is not simply to train a classifier, but to investigate how modern AI can become more reliable, interpretable, and research-oriented in medical image analysis.
- 🩻 Skin-lesion image classification
- 🧠 Deep learning
- 👁️ Computer vision
- 🔬 Medical image analysis
- 📊 Model benchmarking
- 🧩 Explainable AI
- 🛡️ Robustness analysis
- 📈 Performance evaluation
- 🧪 Research-oriented experimentation
- 🏥 Clinically aware AI research
Dermatology Images
↓
Image Preprocessing
↓
Deep Learning Models
↓
Skin-Lesion Classification
↓
Model Evaluation
↓
Explainable AI
↓
Robustness Analysis
↓
Biomedical AI Research
Long-term vision:
Build more trustworthy AI systems for biomedical image understanding.
Status: 🟢 Active Research
Repository: Digital Human Intelligence Lab
Digital-Human-Intelligence-Lab is an experimental research platform exploring AI-driven digital humans, computer vision, neural representations, MetaHuman DNA analysis, intelligent character customization, facial intelligence, and automated rigging.
The project investigates how AI can connect visual perception, human representation, character intelligence, and digital-human systems.
- 🧑 Digital Human Systems
- 👁️ Computer Vision
- 🧬 MetaHuman DNA Analysis
- 🧠 Neural Representations
- 🙂 Facial Intelligence
- 🎭 Character Customization
- 🦴 Automated Rigging
- 🤖 AI-driven Character Systems
- 🎮 Digital Character Intelligence
- 🌐 Future Human–AI Interaction
Human Visual Information
↓
Computer Vision
↓
Human Representation
↓
Neural Intelligence
↓
Digital Human
↓
Intelligent Character
↓
Human–AI Interaction
Long-term vision:
Explore the foundations of intelligent, adaptive, AI-driven digital humans.
My projects currently connect several research areas:
ARTIFICIAL INTELLIGENCE
│
┌────────────────────┼────────────────────┐
│ │ │
▼ ▼ ▼
Biomedical AI Molecular Intelligence Digital Humans
│ │ │
▼ ▼ ▼
Computer Vision Computational Chemistry Neural Representation
│ │ │
└────────────────────┼────────────────────┘
▼
Frontier AI Research
I am interested in building systems that go beyond simple prediction.
My research direction is:
Understand → Learn → Generate → Reason → Optimize
Rather than building isolated AI models, I aim to develop integrated intelligent systems that can learn from complex scientific and human-centered data.
My broader research interests include:
- Artificial General Intelligence
- Biomedical AI
- Computational Biology
- Molecular AI
- Drug Discovery
- Computer Vision
- Digital Humans
- Brain–Computer Interfaces
- Robotics
- Quantum Computing
- Quantum Biotechnology
- Multimodal Intelligence
- Scientific AI
| Project | Area | Status |
|---|---|---|
| 🧬 MolecularIntelligence | Molecular AI / Drug Discovery | 🟢 Active |
| 🩺 DermAI-Research | Biomedical AI / Computer Vision | 🟢 Active |
| 🧑 Digital-Human-Intelligence-Lab | Digital Humans / AI | 🟢 Active |
These projects are individual research directions within a larger goal:
Build intelligent systems that can understand complex biological, molecular, visual, and human information.
Molecules ──────┐
│
Biology ────────┤
│
Images ─────────┤
├──→ Intelligent Systems
Humans ─────────┤
│
Science ────────┘
MD Yousuf
CSE Student • AI Research • Biomedical Intelligence • Frontier Systems
🔗 GitHub: github.com/mdyusuf166
Building today what I want to research tomorrow.
Important: I would put this in your profile repository's README.md, not inside one of the three project repositories. That way, anyone opening your GitHub profile immediately sees “Current Research Projects” and understands what you are actively building. Your existing profile already presents you as an AI/quantum-biotech-oriented researcher, so this structure makes that direction much easier to understand. (GitHub)