Issam Alzouby - AI Researcher

HI, I'M ISSAM

I am a PhD student at UNC Charlotte. My research focuses on generative models for human motion synthesis and perception. I develop AI systems for controllable, physically plausible motion generation. Currently exploring how language-guided learning can enable natural movement in humanoid robotics, and real-time digital twins across physical and virtual environments.

View Portfolio

Years of
Experience

Hackathon
Wins

Publications

2025
Github
Contributions

Featured Work

Text-to-MotionAI/ML

MMM-272: Text-to-Motion

AI/MLRobotics

Humanoid Robot

Soft-Masked Diffusion Language Models

View

Recent Awards

Global Nominee

NASA Space Apps 2025

1st Place

NC State Programming Contest

SCROLL

Gallery

Research, development, and innovation — captured.

Research Deployed

Try It Live — In Your Browser

Try our text-to-motion platform live — research commercialized with my advisor, built to take academic motion generation off the page and into creators' hands.

Open full app

https://bamm.up.railway.app/dashboard

Loading BAMM Motion Studio…

Spinning up the deployment

Scroll, click, and generate motion directly from this pageUse fullscreen for the best experience

Featured Research

Selected publications in medical AI and clinical impact.

View All Research

Is Artificial Intelligence Saving Lives? A Meta-Analysis of Real-World Clinical Impact

Chouffani El Fassi, S., Ngan, Z., Alzouby, I., et al. Meta-analysis examining the real-world clinical impact of AI interventions across healthcare settings.

In Revision After Peer Review at Nature Communications

Gaps and Opportunities in the Medical AI Market

Alzouby, I., Chouffani El Fassi, S., Shahrour, L., et al. Comprehensive analysis of current gaps and future opportunities in the medical AI industry.

Under Review by Nature Medicine

Computer Algorithms to Optimize Organ Donation After Circulatory Death (DCD)

Chouffani El Fassi, S., Alzouby, I., Yüksel, I., Khan, T. et al. Novel algorithms designed to improve organ donation outcomes after circulatory death.

Under Review by Nature Medicine

Featured Projects

View more projects!

View Portfolio

HackathonNASARAG & Space Biology

1st Place & Global Nominee – 2025 NASA Space Apps Challenge

Built Raptor RAG: an advanced retrieval-augmented generation system designed around NASA's space biology data for intelligent ingestion and retrieval.

Text-to-MotionVQVAETransformer

MMM-272: Enhanced Text-to-Motion Generation

State-of-the-art text-to-motion generation with 272-dimensional representation, achieving superior animation quality for game engines.

HackathonC++ & PythonLeet Code

1st Place – NC State Competitive Programming Hackathon

Solved complex algorithmic challenges with optimized C++ and Python solutions, demonstrating advanced problem-solving skills.

Let's Build Something That Matters

I'm currently open to research opportunities, internships, and roles focused on medical AI, human modeling, or systems engineering. Let's connect if you're looking for someone driven to make an impact through real-world AI.

shoutout to Noah Hattout for designing the skills animation cube.

HI, I'M ISSAM

View Portfolio

Years of
Experience

Hackathon
Wins

Publications

2025
Github
Contributions

Featured Work

Text-to-MotionAI/ML

MMM-272: Text-to-Motion

AI/MLRobotics

Humanoid Robot

Soft-Masked Diffusion Language Models

View

Recent Awards

Global Nominee

NASA Space Apps 2025

1st Place

NC State Programming Contest

SCROLL

Gallery

Research, development, and innovation — captured.

Research Deployed

Try It Live — In Your Browser

Try our text-to-motion platform live — research commercialized with my advisor, built to take academic motion generation off the page and into creators' hands.

Open full app

https://bamm.up.railway.app/dashboard

Loading BAMM Motion Studio…

Spinning up the deployment

Scroll, click, and generate motion directly from this pageUse fullscreen for the best experience

Featured Research

Selected publications in medical AI and clinical impact.

View All Research

Is Artificial Intelligence Saving Lives? A Meta-Analysis of Real-World Clinical Impact

Chouffani El Fassi, S., Ngan, Z., Alzouby, I., et al. Meta-analysis examining the real-world clinical impact of AI interventions across healthcare settings.

In Revision After Peer Review at Nature Communications

Gaps and Opportunities in the Medical AI Market

Alzouby, I., Chouffani El Fassi, S., Shahrour, L., et al. Comprehensive analysis of current gaps and future opportunities in the medical AI industry.

Under Review by Nature Medicine

Computer Algorithms to Optimize Organ Donation After Circulatory Death (DCD)

Chouffani El Fassi, S., Alzouby, I., Yüksel, I., Khan, T. et al. Novel algorithms designed to improve organ donation outcomes after circulatory death.

Under Review by Nature Medicine

Featured Projects

View more projects!

View Portfolio

HackathonNASARAG & Space Biology

1st Place & Global Nominee – 2025 NASA Space Apps Challenge

Built Raptor RAG: an advanced retrieval-augmented generation system designed around NASA's space biology data for intelligent ingestion and retrieval.

Text-to-MotionVQVAETransformer

MMM-272: Enhanced Text-to-Motion Generation

State-of-the-art text-to-motion generation with 272-dimensional representation, achieving superior animation quality for game engines.

HackathonC++ & PythonLeet Code

1st Place – NC State Competitive Programming Hackathon

Solved complex algorithmic challenges with optimized C++ and Python solutions, demonstrating advanced problem-solving skills.

Let's Build Something That Matters

shoutout to Noah Hattout for designing the skills animation cube.