Noelle R. is a globally recognized pioneer in Responsible AI, empowering enterprises to build scalable, ethical intelligence that drives competitive advantage. As CEO of the AI Leadership Institute, she has trained 3.4+ million learners worldwide, delivering AWS-certified frameworks that transform AI experimentation into production revenue streams.

A 5x Microsoft MVP and Top 10 Global Thought Leader in Generative AI (Thinkers360), Noelle authored the best-selling “Scaling Responsible AI” and earned the 2021 Responsibility & Ethics Award for pioneering enterprise AI governance. Her TEDx talks and keynotes at World Economic Forum, CES, LEAP, and MGMA inspire 50,000+ leaders annually to operationalize trustworthy systems.

With battle-tested experience at Microsoft, AWS, IBM, Amazon Alexa, and NPR, Noelle bridges cutting-edge research with practical deployment. She’s built some of the world’s largest AI models and champions “human-in-the-loop” frameworks ensuring innovation serves humanity.

At the World AI & Robotics Conference, Noelle shares battle-tested strategies for scaling agentic systems ethically—from pilot to profit. Her frameworks guarantee measurable ROI while mitigating risks enterprise leaders fear most.

Join the AI transformation expert who’s trained millions and transformed Fortune 500s.

Rana Gujral is a visionary entrepreneur and global authority on Cognitive AI, voice intelligence, and the pathway to Artificial General Intelligence (AGI). As CEO of Behavioral Signals, he pioneers production-grade voice analytics that decode human intent, emotion, and deception—powering real-time trust, safety, and deepfake detection for enterprises worldwide.

Rana’s career spans transformative leadership: He founded and exited TiZE (acquired by Alchemy), led Smart Home innovation at Logitech (CES Innovation Award winner), and orchestrated a $100M loss turnaround into $4.4B IPO. Recognized as Inc.’s Top AI Entrepreneur to Watch and SoundHound’s Top 40 Voice AI Influencers, his insights grace TechCrunch, Forbes, and World Economic Forum.

A dynamic TEDx speaker with 1M+ views, Rana headlines CES, WAICF, LEAP, GovAI Summit, and TNW, unpacking AGI development, ethical frameworks, and AI’s human frontier. His upcoming book, “The AI Instinct” (Wiley, 2026, foreword by Kai-Fu Lee), explores AI’s evolution beyond intelligence.

Don’t miss this architect of tomorrow’s intelligent machines.

Full Professor, University of Sfax | World’s Top 2% Scientists in AI | Inventor of Dhouib-Matrix Optimization | #29 Global Metaheuristic Researcher

Prof. Souhail Dhouib stands among the world’s elite AI researchers, ranked in Stanford University’s Top 2% Scientists and #29 globally in Metaheuristic Optimization by Elsevier. As Full Professor at University of Sfax’s Higher Institute of Industrial Management, he pioneers groundbreaking optimization algorithms revolutionizing robotics path planning, industrial automation, and combinatorial problem-solving.

The inventor of the revolutionary “Dhouib-Matrix” framework, Souhail developed DM-SPP-24—a rapid trajectory planning method for cognitive mobile robots that outperforms traditional algorithms in obstacle avoidance and path efficiency. His Dhouib-Matrix methods (DM-TSP1, DM-AP1, Far-to-Near, DM3, DM4) solve complex NP-hard problems in manufacturing, logistics, and autonomous systems with unprecedented speed and accuracy.

With PhD in Quantitative Methods, Master’s in Operations Research, and industry experience as former General Manager of L’Avenir Informatique, Souhail bridges academic innovation with real-world deployment. His work appears in premier journals, and he’s keynote speaker at international conferences including ISRAI 2026 Robotics Summit (Conference Co-Chair).

Dr. Nader M. Ghazal is a pioneering AI visionary with a PhD in Artificial Intelligence (1991, USA)—among the world’s earliest experts. As Chairman of the African-Asian Council for AI & Cybersecurity (CAAAIC), he shapes continental AI governance across 100+ nations.

Currently Professor at Khalifa University (UAE) teaching graduate courses in Technology, Innovation, Entrepreneurship, and Leadership, Dr. Ghazal holds elite certifications: MIT Digital Transformation, University of Virginia DX, and UNSW Online Education. His i-DOT consultancy has transformed government ministries and GCC enterprises using AI, blockchain, IoT, and Balanced Scorecard strategies.

A former Mayor of Tripoli (Lebanon) and Advisor to the Lebanese Prime Minister, Dr. Ghazal bridges public policy with emerging tech. He’s an Advisory Board Member of the Global AI Forum, Dubai AI Week Championship Judge (2025), and QS University Rankings International Judge.

Canada’s National Scientific Research Award (Technology, 1989) recipient, Dr. Ghazal is a UN-endorsed speaker on AI governance and chairs global dialogues on ethical intelligence deployment.

Prof. Farah Jemili, PhD, is a leading AI researcher and educator at ISITCom, University of Sousse, Tunisia, where she serves as Associate Professor (HDR), Internship Director, and former Head of Networks & Multimedia Department. An NVIDIA Instructor and Ambassador, she pioneers intelligent systems design, anomaly detection, and behavioral data analysis at the intersection of AI, cybersecurity, and Big Data.

With a PhD from ENSI, University of Manouba (2010), Farah has authored 45+ peer-reviewed papers in top venues, focusing on fuzzy analytics for intrusion detection, distributed systems, and AI-driven security. As Associate Editor for Journal of King Saud University – Computer & Information Sciences (Springer) and Journal of Intelligent Decision Technologies (Sage), she shapes global research standards.

A dynamic leader, she coordinates the “Nuit de l’Info” hackathon, serves as Scientific Referent at ATEA (Tunisian Accreditation Agency), and leads ISO 21001 audits. Her expertise spans machine learning, deep learning, and intelligent decision systems, earning invitations to Robotics World Summit and Global Summit on Artificial Intelligence.

At the World AI & Robotics Conference, Prof. Jemili explores AI-powered anomaly detection and intelligent robotics—bridging theory and real-world deployment.