Singapore  |  October 20–21, 2026

I am a global leader in Privacy, Cybersecurity, and AI Governance, helping organizations turn regulatory complexity into a competitive advantage. With cross-regional experience across APAC, EMEA, and the US, I bridge legal, technical, and strategic perspectives to address emerging risks while enabling safe, responsible innovation.

My expertise spans AI governance and ethics, cybersecurity resilience, and multi-jurisdictional data privacy compliance, including GDPR, PIPL, and PDPA. I am a Solicitor (England & Wales) and an INSEAD MBA graduate, holding globally recognized certifications such as FIP, CIPP/E, CIPP/A, CIPP/US, CIPM, AI GP, CISSP Associate, and CISM.

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​I have led global compliance programs, advised on regulatory risk and cross-border data transfers, and supported organizations at a governance and board level during cybersecurity incidents. Passionate about collaboration, I work closely with boards, regulators, and executive leadership to ensure trust, transparency, and innovation go hand-in-hand.

Dr. Ibrahim Mansoor is a U.S.-trained Surgical and Clinical Pathologist, having completed his training at Northwestern University Feinberg School of Medicine and fellowship programs at Yale School of Medicine and the Mayo Clinic, Rochester. After practicing in the United States, he returned to the Middle East to advance laboratory medicine—first as Director of Laboratory at the International Medical Center (IMC), and currently as Director of Laboratory Services at King’s College Hospital London, Jeddah.

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Dr. Mansoor has a deep interest in digital health strategy, healthcare connectivity, interoperability, and AI-driven pathology transformation. He has published extensively across multiple disciplines of pathology and informatics delivered numerous Grand Rounds and international lectures around the world.

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MBA (Hamburg/GER) advises executive management and corporate communications teams on strategy, digital transformation, and positioning. He is currently a DBA doctoral candidate at the European Institute of Management and Technology (EIMT) in Switzerland, a lecturer, and host of the #TechTalk2030 series. His expertise spans business administration, corporate strategy execution, sales, marketing, and communications, with a strong emphasis on sustainable digital transformation.

During his professional career, he collaborated with leading media and publishing organizations including RTL Group, Axel Springer, Mecom plc, DuMont, Egmont, and Bauer Media Group.

He holds MBA and BBA degrees from Steinbeis University (GER) and gained additional academic experience at Hamburg Media School (GER), University of Amsterdam (NED), and Kaospilots Aarhus (DEN). Earlier studies include German and English Studies and Geography at the University of Cologne (GER). He is also active in University Society Hamburg, Toastmasters International and Hamburg@work.

Anastasia Su-Anne Chen specialises in Data Protection and Technology, Media & Telecommunications (TMT) law. She brings extensive experience from both the public and private sectors, with a strong focus on data governance, digital regulation, and emerging technologies.

During her tenure in the public sector, Anastasia served as lead counsel for matters relating to the Personal Data Protection Commission (PDPC). She also managed IMDA’s procurement and intellectual property portfolios and acted as legal advisor to IMDA’s Data Administration Group. Her regulatory experience gives her a deep understanding of Singapore’s digital and data protection landscape.

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Soenil Soebedar is a solution-oriented IT & cybersecurity professional who spent more than 34 years in the IT sector, 23 years as a freelancer & founder of SOEBIT Cybersecurity in the Netherlands (Europe) and 14 years in the Cyber Security area as an Ethical Hacker, Penetration tester, PKI/Cryptography specialist/Architect, Senior Security Engineer, Senior SOC Specialist. He lives and studies in the Netherlands, born in Suriname (South America). Branch Experience: In industries such as Finance and Banking, Energy, NL Government, Healthcare, Education and Consulting and a lot of international experience working in teams and individually.

Shaun Leong is a leading international arbitration and disputes lawyer, widely recognised for his expertise in emerging technology disputes, including AI, cryptocurrency, blockchain, and digital assets. He is consistently ranked by Legal 500, Who’s Who Legal, and Benchmark Litigation for his commercially strategic and innovative approach to complex cross-border disputes.

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A former Magistrate and Assistant Registrar of the Supreme Court, Shaun brings deep judicial insight from handling high-value commercial and arbitration matters. He has played a key role in the establishment of the Singapore International Commercial Court (SICC) and is a contributing author to leading arbitration and civil procedure texts.

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Dr. Huwida Said is an Associate Professor at the College of Technological Innovation, Zayed University, Dubai. She earned her Bachelor of Engineering (B.Eng.) in Electrical and Electronics Engineering from the University of Wales, Swansea, United Kingdom, and obtained her Ph.D. in Computer Science from the University of Reading, United Kingdom, in 1999. In 2008, she was awarded a prestigious fellowship from the U.S. National Science Foundation (NSF) to pursue a Postdoctoral Certificate in Information Assurance at the Graduate School of Management and Technology, University of Maryland, University College (UMUC), Baltimore, USA. Dr. Said’s research focuses on information security mechanisms, computer networks, Internet security, generative AI, and Security testing and mitigation. More recently, she has contributed to research in blockchain systems, focusing on security, governance, and management challenges. She is an active member of IEEE, the EC-Council, and Cisco Academies, reflecting her sustained engagement with global professional communities. In addition, Dr. Said actively contributes to the scholarly community as a peer reviewer for numerous reputable journals and international conferences. Her teaching portfolio includes Information Security Foundations, Network Security, Internet and Web Security, Ethical Hacking and Penetration Testing, Operating Systems, and Digital Computer Forensics.

Global software engineering leader with 19+ years of experience delivering enterprise-grade cloud and on-premise platforms. Proven track record in building and scaling high-performing teams and delivering innovative solutions across Generative AI, Blockchain, Cybersecurity, and UI/UX.

Expert in optimising development processes, driving technical strategy, and integrating complex third-party ecosystems to accelerate product delivery and operational efficiency. Highly experienced in mentoring leaders and engineers, fostering a culture of quality, ownership, and continuous improvement.

Recognised for a proactive, forward-thinking leadership style, combining strategic planning with hands-on execution to achieve ambitious business goals. Passionate about leveraging emerging technologies to build high-quality products, enable organisational growth, and deliver measurable customer and business value.

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Dr. Abdullah Mansoor is an AI systems architect, researcher, and founder specializing in autonomous AI agents and production-grade AI deployments. With a PhD focused on reinforcement learning and autonomous decision systems, he operates at the intersection of AI engineering, evaluation science, and real-world deployment reliability.

He has led the design of multi-tenant AI agent platforms across voice and chat environments, focusing on robustness, security, and evaluation-driven development. His work emphasizes closing the “trust gap” between impressive AI demos and secure, production-ready systems.

Dr. Mansoor is the co-author of AI Agent Evaluation: Benchmarking, Testing & Improving AI Agent Quality, where he introduces practical frameworks for reliability, safety, and governance of AI agents. His current research and industry work explore emerging vulnerabilities in LLM-generated code and how organizations can build resilient AI security pipelines without unsustainable cost overhead.