AI-Enabled Conference

World AI & Robotics Conference

AI, Robotics, and ML: The Trifecta Shaping Tomorrow

June 8, 2026 – June 10, 2026 Atlanta, USA Modern Conference Venue, Atlanta USA Upcoming
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Welcome Message

World AI & Robotics Conference

Welcome to the World AI, Robotics & Machine Learning Conference

Step into a thoughtfully curated global gathering where innovation meets real-world application. The World AI, Robotics & Machine Learning Conference brings together a distinguished community of engineers, researchers, founders, and enterprise leaders who are actively shaping the future of intelligent systems.

Designed to be focused yet diverse, this conference offers a rare balance, an environment large enough to capture global perspectives, yet intimate enough to foster meaningful conversations, collaborations, and lasting connections.

Over the course of the event, attendees will engage with voices from across the world who are building, deploying, and scaling AI and robotics solutions in real environments. From emerging breakthroughs to practical implementations, each session is centered on sharing actionable insights, what works, what doesn’t, and what’s next.

Expect in-depth discussions around current challenges, evolving best practices, and proven strategies across industries. Whether it’s deploying machine learning models at scale, integrating robotics into operations, or navigating ethical and operational complexities, the conversations here are grounded, relevant, and experience-driven.

Beyond the sessions, the conference creates a space for genuine exchange. Speakers and participants are not separated by hierarchy but connected by a shared intent to learn, contribute, and move the industry forward together. This ensures that every interaction, whether formal or informal, adds tangible value.

With participation from professionals representing diverse geographies and sectors, the conference reflects a truly global outlook while maintaining a sharp focus on practical impact.

If you are building, leading, or exploring the future of AI, robotics, and machine learning, this is where clarity replaces noise, and ideas turn into direction.

Join us to be part of a conference that is defined by the quality of conversations, the depth of insights, and the strength of its community.

Listen To

The Speakers

D
Dr Xiu Liu

Professor

University of Mississippi Medical Center, USA

USA

A
Dr. Albino Ayoker

Assistant Lecturer

Upper Nile University, South Sudan

South Sudan

N
Dr. Nader M. Ghazal

AI Researcher & Technology Strategist

International AI Research Institute

Dubai, UAE

F
Farah Jemili

AI & Data Science Expert

AI Innovation Lab

Paris, France

K
Krishnan Suthanthiran

Founder & President, TeamBest Companies

TeamBest Companies, USA

USA

S
Prof. Souhail Dhouib

Professor of Computer Science & AI

Sfax University, Tunisia

Sfax, Tunisia

R
Rana Gujral

CEO, Behavioral Signals | AI Pioneer

Behavioral Signals

Los Angeles, USA

S
Syed Umair Akhlaq

Machine Learning Engineer & Researcher

Global AI Institute

Karachi, Pakistan

D

Dr Xiu Liu

Professor

University of Mississippi Medical Center, USA

Biography

Professor at the University of Mississippi Medical Center, USA. He has over two decades studying addictive behavior including overeating in animal models. His research has been funded by USA National Institute of Health and FDA grants. He has published more than 60 research papers, 6 book chapters, and presented over 80 abstracts.

A

Dr. Albino Ayoker

Assistant Lecturer

Upper Nile University, South Sudan

Biography

Assistant Lecturer at the Department of Surgery, Faculty of Medicine, Upper Nile University, South Sudan. Specialist Surgeon extensively trained in Surgical Oncology at Alexandria University, Fakous Cancer Center, and Oncology Center Mansoura University, Egypt. He holds MBBS from Bahr El-Ghazal University and a Master’s Degree in General Surgery from Alexandria University.

N

Dr. Nader M. Ghazal

AI Researcher & Technology Strategist

International AI Research Institute

Biography

Dr. Nader M. Ghazal is a prominent AI researcher and technology strategist with expertise in machine learning, robotics, and intelligent systems. He advises governments and enterprises on AI strategy and digital transformation.

F

Farah Jemili

AI & Data Science Expert

AI Innovation Lab

Biography

Farah Jemili is a data science and artificial intelligence expert with a background in natural language processing and intelligent systems. She has worked with leading technology companies and research institutions across Europe.

K

Krishnan Suthanthiran

Founder & President, TeamBest Companies

TeamBest Companies, USA

Biography

Named International Man of the Year by MEATF. President & Founder of TeamBest Companies, an entrepreneur engaged in Medical, Energy, Entertainment, and Real Estate industries globally. Having lost his father to cancer as an undergraduate, he has dedicated his career to cancer research and treatment. TeamBest products are used to treat millions of cancer patients worldwide.

S

Prof. Souhail Dhouib

Professor of Computer Science & AI

Sfax University, Tunisia

Biography

Prof. Souhail Dhouib is a distinguished computer scientist specializing in artificial intelligence, operations research, and optimization algorithms. He has made significant contributions to AI-driven decision-making systems and has published extensively in top-tier international journals.

R

Rana Gujral

CEO, Behavioral Signals | AI Pioneer

Behavioral Signals

Biography

Rana Gujral is a technology entrepreneur, AI expert, and CEO of Behavioral Signals, a company leveraging AI and emotion recognition for behavioral health applications. He is a sought-after speaker on artificial intelligence, machine learning, and the future of technology.

S

Syed Umair Akhlaq

Machine Learning Engineer & Researcher

Global AI Institute

Biography

Syed Umair Akhlaq is a machine learning engineer and researcher with expertise in deep learning, computer vision, and autonomous systems. He has contributed to multiple AI research publications and open-source ML frameworks.

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