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Aden is a Lead Penetration Tester at BAE Systems DI based in Malaysia, with over 10 years of experience in offensive security. He has successfully led red teaming and advanced penetration testing engagements across multiple industries worldwide, uncovering critical vulnerabilities in both applications and infrastructure. Beyond client work, he actively contributes to bug bounty and vulnerability disclosure programs. His research has led to the discovery of multiple internet-exposed vulnerabilities, earning him 18 CVE IDs to date. He has previously shared his work at ROOTCON, BSides, Nanosec, and RedTeam Hacker Academy conferences.

IEEE New Era World Summit Invited Speaker:https://attend.ieee.org/neweraai25/frontline-ai-track/#padhyhttps://www.techtimes.com/articles/313793/20260106/seattle-bothell-summit-showcases-ais-evolution-practical-applications.htmInvited Speaker at the IEEE conference ICAIC , University of Houston, Texas: https://icaic.gyancity.com/keynote.htmlInvited Speaker at Developerweek: https://www.developerweek.com/speakers/Invited Key Note speaker at the University of Canberra:https://www.scrs.in/public/conference/scis2025/speaker/talk/1908Invited Key Note Speaker at MIT, Gwalior:https://scrs.in/conference/icsiscet2025/speaker/talk/1907Invited Key Note Speaker at Geeta University, Panipat:https://www.india.com/money/global-innovators-dominate-the-discussion-at-incstic-2025-the-case-of-responsible-ai-industrial-autonomies-and-quantum-safe-systems-8145479/

Dave has 30 years of industry experience. He has extensive experience in IT security operations and management. Dave is the Global Advisory CISO for 1Password. He is the founder of the security site Liquidmatrix Security Digest & podcast. Dave also hosts the Chasing Entropy Podcast. He was a member of the board of directors for BSides Las Vegas for 8 years. He currently serves on the advisory boards of Byos.io and Knostic.ai. Dave has previously worked in critical infrastructure for 9 years as well as for companies such as Duo Security, Akamai, Cisco, AMD and IBM. Previously he served on the board of directors for (ISC)2 as well as being a founder of the BSides Toronto conference. Dave was a DEF CON speaker operations goon for 13 years. Lewis also serves on the advisory boards for the Black Hat Sector Security Conference in Canada, and the CFP review board for 44CON in the UK. Dave has previously written columns for Forbes, CSO Online, Huffington Post, The Daily Swig and others. For fun he is a curator of small mammals (his kids) plays bass guitar, grills, is part owner of a whisky distillery and a soccer team.

Frequent speaker on secure software development, AI security, and innovative security practices at leading industry conferences, demonstrating thought leadership and innovation aligned with industry-leading organizations. Below are some of the recent topics I have shared:• “The Code You Didn’t Write: Invisible Threats in Modern Software Development”• "Security From the Start - The Financial and Operational Gains of Secure Software Development"• "Navigating the AI Landscape - Balancing Benefits and Risks of AI for Business Processes"• “Cybersecurity Controls That Fail: Lessons from History”• "Cyber Adversary Modeling - Bridging Gaps in Imperfect Data"

BSides BarodaBSides MumbaiMitre APACBluehat IndiaVulnconIdentity Shield Summit Cloud identity summit Germany

Professional Experience:I've done work around building a world-class Customer experience across Geographies like the Middle East .· www.Emirates.com {worked on building the Internet Booking Engine, while I was in Dubai, UAE }· www.telenorsweden.com {worked on building the Billing Engine}Over the course of two decades, my work has progressed toward solving increasingly complex, system-level healthcare challenges, with a clear through-line: transforming how health services are designed, delivered, and scaled across the United States. Phase 1: Digital Health Foundations and Population Well-BeingMy early and mid-career work focused on digital health platforms designed to improve population health outcomes, preventive engagement, and healthcare transparency. At organizations such as Castlight Health, I contributed to systems that:Integrated clinical, behavioral, and benefits data at scaleEnabled large U.S. employers to improve population-level health outcomesDelivered actionable, personalized health insights directly to millions of covered individuals These platforms were adopted by major employers and health ecosystems, supporting millions of users nationwide and contributing to improved preventive care participation, informed decision-making, and more cost-effective utilization of healthcare services. This phase established a foundation in population health intelligence — measuring risk, surfacing insight, and influencing behavior at scale. Phase 2: Care Delivery Systems and Applied AIBuilding on this foundation, my work evolved from insight generation to care delivery enablement — bridging the gap between prediction and execution.In this phase, I:Applied machine learning and AI to healthcare-adjacent decision systemsLed engineering initiatives where system performance directly impacted user outcomesBuilt high-reliability, low-latency platforms requiring fault tolerance, continuous availability, and operational resilience This transition represents a critical inflection point in my work: I moved from understanding health outcomes to operationalizing healthcare services, where engineering rigor directly affected real-world care delivery. Phase 3: National-Scale Physical Infrastructure for Care DeliveryIn my current role at Walmart Global Tech, I operate at population scale, supporting infrastructure that serves:240+ million customers weeklyTens of millions of daily transactions across retail, pharmacy, and fulfillment ecosystems My work directly supports platforms that enable:Prescription fulfillment and deliveryExpanded healthcare access through retail-based channelsReliable execution of time-sensitive and safety-critical workflows Pioneering Drone-Based Delivery Infrastructure My most significant and forward-looking contributions involve serving as Single-Threaded Owner (STO) CX for drone-based delivery infrastructure This work represents a fundamental shift in U.S. care delivery capability, addressing systemic challenges such as:Last-mile accessTime-critical delivery &ScalabilityImportantly, this is production-grade infrastructure, not experimental research. These systems operate within live retail ecosystems, where reliability, safety, and scale are non-negotiable. This phase reflects the culmination of my work: building physical infrastructure that translates digital health intelligence into real-world delivery at national scale. Research Publications & Papers Under Review: Accepted / Published:• "LLM-Powered Health Signal Detection from Retail Purchase Patterns in Underserved Communities" – JMIR AI (Accepted, In Editor's Office) LLM pipeline for detecting health signals from retail data; addresses healthcare access disparities in underserved populations• "Food as Medicine: AI-Driven Nutritional Intervention Framework" – Conference Presentation (November 2025) AI framework linking retail food purchase data to personalized nutritional interventionsUnder Peer Review:• "Responsible AI for Pediatric Health: Early Prediction of Autism and Developmental Delays" – Under review at Scientific Reports (Nature)Responsible AI framework for early developmental screening; fairness-aware ML for pediatric populations• "AI-Driven Chronic Kidney Disease Risk Prediction from Retail Health Signals" – Under review at JMIR AIML pipeline for CKD risk stratification using non-clinical retail purchase patterns• "Mental Health Crisis Detection Using Shopping Behavior Patterns" – Under review at JMIR AIBehavioral signal detection for mental health interventions; privacy-preserving ML on retail data• "Carbon Footprint Scoring at Checkout: Real-Time Eco-Labeling with Federated Learning" – Under review at Scientific Reports (Nature)Federated learning for cross-retailer carbon footprint estimation; behavioral nudging for sustainability In Preparation:• "Equity-Aware Checkout: An AI-Driven Framework for Fair and Personalized Essential Goods Access" – Target: JMIRAlgorithmic fairness in retail AI; ensuring equitable access to essential goods across demographics• "Cardiovascular Disease Risk Prediction from Retail Purchase and Social Isolation Patterns" – In DevelopmentMulti-signal ML model combining food purchase patterns, social isolation indicators, and behavioral data for CVD riskAreasBased on my research and industry experience, I am well-positioned to advance outcomes in:· Technology and Engineering management· Automatic speech recognition (ASR) and NLP systems· Healthcare NLP and clinical text processing· Retrieval-augmented generation (RAG) architectures· Multimodal language models· LLM applications for health signal detection· Privacy-preserving NLP on sensitive dataNon-Profit contributions:· Advising a women owned Mental Health Startup https://www.pacificmndfl.com/ as their External Advisory Board Member – AI & Digital Health Systems· Mentor for the Grad students of Cal State Long beach for the sunstone-innovation-challenge 20256Speaker contributions:Speaker at multiple conferences including IEEE / Digital Expo / DataCon LA

Patrick Ventuzelo is a senior security researcher, CEO & founder of Fuzzinglabs. After working for the French Ministry of Defense, he specialized in fuzzing, vulnerability research, and reverse engineering. Over the years, Patrick has created multiple fuzzers, found hundreds of bugs, and published various blog posts/videos/tools on topics like Rust, Go, Blockchain, WebAssembly, and Browser security. Patrick is a regular speaker and trainer at various security conferences around the globe, including BlackHat USA, OffensiveCon, REcon, RingZer0, PoC, ToorCon, hack.lu, NorthSec, SSTIC, and others.

Ruggiero Dargenio has a strong background at the intersection of engineering, computer science, and applied AI, shaped by academic experience at ETH Zurich, MIT, and Politecnico di Milano. Over the past years, he has worked hands-on as a data engineer and data scientist with global organizations and fast-growing startups across Switzerland and the US, helping teams move from experimentation to real-world AI deployment.Today, Ruggiero works closely with companies on the practical adoption of generative AI and LLMs, supporting use cases across research, operations, and product teams. His work focuses on translating fast-moving AI capabilities into concrete workflows, internal tools, and playbooks that create measurable business impact rather than one-off demos.He is the co-founder of GenAI Zurich, the largest industry AI conference in Switzerland, and is deeply embedded in the European and Silicon Valley AI ecosystems, with a network that spans across continents. Ruggiero is a community builder with a strong network across industry, startups, and the AI research community.

Bio: Venkata Kiran Vemula Alli is a seasoned Technology Leader & Architect with 18+ years of experience specializing in Generative AI, Cloud solutions, and Enterprise architecture. Currently serving as Principal Engineer – Systems Architecture at Verizon Communications, he leads the driving innovation in Generative AI, with a focus on building enterprise-grade AI Conversational bots and agents using Retrieval-Augmented Generation (RAG), multi-agent systems, and Agentic AI architectures.His work involves leveraging advanced platforms such as Neural Seek, IBM Watson services, and the Google Agentic platform, like VertexAI and discovery engine, enabling the design and deployment of intelligent, domain-specific agents that solve complex business problems. Kiran has a proven track record of architecting scalable, secure solutions across diverse industries, including telecom, retail, finance, and HR. His expertise spans AWS, GCP, and Azure cloud platforms, containerized services with Kubernetes and Docker, and modern development frameworks. He holds a US Patent in Generative AI Innovation and is AWS Certified as both a Cloud Solutions Architect and Cloud Developer.With an MTech in VLSI Design and a BTech in Electrical and Electronics Engineering, Kiran combines deep technical knowledge with strong leadership skills, successfully managing global cross-functional teams and delivering high-impact projects. His experience ranges from building AI-driven chatbots and computer vision solutions to implementing enterprise-scale microservices architectures and DevOps automation.

Hello, I’m noflag. I am currently an Associate GenAI Security Analyst at AIFT, where I focus on AI red teaming, attacking and testing AI systems, conducting AI security research, and developing AI security products.Over the past year, I have presented more than 20 cybersecurity research projects at domestic and international security conferences. Recently, my main research interest has shifted toward applied AI/ML security, particularly in understanding and securing modern intelligent systems.I actively explore diverse technical domains to solve complex cybersecurity problems, discover vulnerabilities across platforms, and identify new CVEs. As a final-year university student, I balance academic studies with industry research, bringing both theoretical insight and hands-on experience to my work. Learning and research have become the core of my professional life, and I am passionate about advancing practical, scalable AI security solutions.

Zuotong Feng is a Security Expert on Alibaba Cloud's Security Team with 8 years of experience in both offensive and defensive security. His expertise primarily lies in network security and threat intelligence, Speaker in POC、ISC.