Martin Brodeur is an Ontario Certified Teacher (19 years) with a background in physics and embedded systems (BSc), college electronics, and philosophy of science (MA, BA). Over roughly a year, he built an AI-made production system through automated agent workflows: about 350,000 lines of TypeScript, without opening a single source file. After it locked up twice, he built an automated audit loop — Orthogonal Auditing by Rotation, with a P2-floor stop — that brought it into production. His open-source security work has produced 23 CVEs (September 2026), including in IBM Docling, vLLM, Red Hat, Hyperledger, Apple swift-nio and OpenTelemetry. GitHub: brodmart

Martin Brodeur is an Ontario Certified Teacher (19 years) with a background in physics and embedded systems (BSc), college electronics, and philosophy of science (MA, BA). Over roughly a year, he built an AI-made production system through automated a... Show more

Phil Conway is a Dev Advocate at SandboxAQ, a Google-originated startup focused on solving problems through the application of Quantum & AI-based technologies.

He has nearly two decades of experience covering networking, security, cloud computing and solutions architecture for global organizations, financial institutions and government departments.

Phil Conway is a Dev Advocate at SandboxAQ, a Google-originated startup focused on solving problems through the application of Quantum & AI-based technologies. He has nearly two decades of experience covering networking, security, cloud computing... Show more

Devansh Pandey is a PhD candidate in the Department of Integrative Biology at The University of Texas at Austin, working in the lab of Dr. Vagheesh Narasimhan. His research combines large-scale medical imaging, statistical genetics, and machine learning to understand and predict cardiovascular disease. His current work develops a multimodal AI framework for precision preventive cardiology that integrates deep-learning representations of multi-organ MRI with polygenic risk scores to predict coronary artery disease in the UK Biobank. His broader work spans genome-wide association studies, Mendelian randomization, and deep learning on cardiac imaging, with the goal of translating population-scale biobank data into individualized tools for preventive cardiology.

Devansh Pandey is a PhD candidate in the Department of Integrative Biology at The University of Texas at Austin, working in the lab of Dr. Vagheesh Narasimhan. His research combines large-scale medical imaging, statistical genetics, and machine learn... Show more

Akesire Abdurrahmon is a dedicated and ambitious final-year student at the Federal University of Technology, Akure (FUTA), specializing in Applied Geophysics. With a strong passion for geophysical exploration especially in the energy and mineral exploration, he has developed expertise in integrating magnetic, gravity, radiometric and vertical electrical sounding (VES) data for subsurface analysis using software like ArcGIS, Oasis Montaj, WinResist, and most importantly, his knowledge on python in application of Data Science in various Geophysical Investigations. His academic journey has been marked by excellence in research, particularly in the application of geophysical techniques for energy and mineral exploration in Nigeria.

He has actively participated in several fieldwork, geophysical data acquisition, analysis and interpretation, enhancing his practical knowledge in the discipline. His current research focuses on evaluating iron ore deposits in Calabar, Southern Nigeria, analyses of petroleum potential in some selected areas in Ondo State (a potential green field for oil and gas) utilizing geophysical methods to support economic and industrial development. He also has a lined up research work on application of geophysical methods to analyze geothermal potential zones in some selected areas in Nigeria.

Beyond academics, he is a proactive problem solver, a leader and a keen learner, with aspirations to contribute significantly to the energy industry through innovative exploration techniques and sustainable energy management.

Akesire Abdurrahmon is a dedicated and ambitious final-year student at the Federal University of Technology, Akure (FUTA), specializing in Applied Geophysics. With a strong passion for geophysical exploration especially in the energy and mineral expl... Show more

Mauxi Adriana Ornelas-Kobayashi is a biomedical engineer with 18+ years of experience in medical devices and diagnostic imaging across Mexico, Latin America, and the United States. Her career includes regional sales and market-development leadership for FUJIFILM Medical Systems and Chison, as well as more than a decade working with multi-brand medical-equipment distributors. She has managed ultrasound and imaging portfolios, distributor networks, public procurement, strategic accounts, and after-sales relationships across Latin America. Her professional experience with multiple ultrasound brands informs her current research on medical-device value chains, technical circularity, operational resilience, public procurement, and local industrial capabilities. She bridges industry practice with research to examine how medical technologies can be managed more sustainably throughout their life cycle.

Mauxi Adriana Ornelas-Kobayashi is a biomedical engineer with 18+ years of experience in medical devices and diagnostic imaging across Mexico, Latin America, and the United States. Her career includes regional sales and market-development leadership ... Show more

Platform Engineer at Puzzle ITC with a passion for CI/CD, automation, and cloud-native technologies.
I am committed to create scalable and secure software delivery pipelines for our customers. I love to implement modern, cutting-edge technologies such as Kubernetes and Dagger are driving the current innovations in software development and deployment processes.

Platform Engineer at Puzzle ITC with a passion for CI/CD, automation, and cloud-native technologies. I am committed to create scalable and secure software delivery pipelines for our customers. I love to implement modern, cutting-edge technologies su... Show more

-Researcher in the field of neuro-cardiology, focused on quantitative molecular imaging in the heart-brain axis via PET/CT at Hannover Medical School.
-Research and development scientist at Cardior Pharmaceuticals GmbH, developing inhibitors targeting microRNA's in cardiac diseases.
-Member of the Technology Transfer Office's patent team at Leibniz University Hannover.

-Researcher in the field of neuro-cardiology, focused on quantitative molecular imaging in the heart-brain axis via PET/CT at Hannover Medical School. -Research and development scientist at Cardior Pharmaceuticals GmbH, developing inhibitors targeti... Show more

Course developer and lecturer for Service-Learning and Civic Engagement of the Transdisciplinary Course Program at the University of Tübingen. Doctorate in geosciences with a focus on natural hazards and disaster risk. Currently serves as the executive editor for Geoscience Communication and is the chair of the European Geosciences Union’s Outreach Committee. Personal website: solmazmohadjer.com

Course developer and lecturer for Service-Learning and Civic Engagement of the Transdisciplinary Course Program at the University of Tübingen. Doctorate in geosciences with a focus on natural hazards and disaster risk. Currently serves as the executi... Show more

Lorenzo Confalonieri is a Graduate Research Assistant and Ph.D. student in the Walker Department of Mechanical Engineering and Texas Robotics at The University of Texas at Austin. His research focuses on the development of a robotic-enabled SPECT system for adaptive imaging under the supervision of Dr. Elena Maria Zannoni, Director of the Translational Radiological Advanced Imaging Lab (TRAIL).
He received his M.Sc. in Physics with honors from the University of Milan, Italy, in 2023. During his master’s studies, he conducted research at the Italian National Institute for Nuclear Physics (INFN) under the supervision of Prof. Flavia Groppi, focusing on optimizing the production of terbium radioisotopes for theranostic applications in nuclear medicine. He earned his B.Sc. in Physics with honors from the University of Milan in 2021, where he worked with Dr. Stefano Carrazza on the development of novel quantum-based computer vision models.
Lorenzo is a recipient of the Academic Enrichment Award from the Graduate School at The University of Texas at Austin.

Lorenzo Confalonieri is a Graduate Research Assistant and Ph.D. student in the Walker Department of Mechanical Engineering and Texas Robotics at The University of Texas at Austin. His research focuses on the development of a robotic-enabled SPECT sys... Show more

Tanmay S Dikshit
Founder – Cyber Sanskar
is a highly energetic keynote speaker, master trainer, and cyber-intelligence thought leader with over 25+ years of international-level experience in advanced technologies and digital innovation ecosystems. He regularly delivers mission-critical training to military personnel, intelligence units, detectives, and security forces, and is a trusted spokesperson on Cyber Industry & Digital Transformation at leading organizations, universities, and institutions. He actively contributes to academia as a Board of Studies Member and Member of the Departmental Advisory Board, shaping industry-aligned curricula. He has received prestigious Hall of Fame recognition as an Information Security Researcher for responsibly reporting security vulnerabilities across 50+ internal systems of reputed international organizations. His expert insights are regularly featured on reputed radio stations, newspapers, print media, and national TV news channels, and today many of students trained under his guidance are successfully working across the global cyber and technology ecosystem, building impactful careers and strong professional reputations worldwide.

Tanmay S Dikshit Founder – Cyber Sanskar is a highly energetic keynote speaker, master trainer, and cyber-intelligence thought leader with over 25+ years of international-level experience in advanced technologies and digital innovation ecosystems. ... Show more

Dr. Palmer has presented and published on psychiatric topics across the lifespan including screening for adolescent vaping use, adolescent substance use, opioid use disorder treatments, neurobiological perspectives of mental illness, and methods to reduce medication use for behavioral disturbances in dementia. Today, he continues to evaluate the impact of the COVID-19 pandemic on the treatment delivery of psychiatric and substance use treatment.

Clinically, Dr. Palmer currently practices as a psychiatric mental health nurse practitioner at P.K. Mullick and Associates, treating adult patients for general psychiatric conditions, substance use disorders, and severe persistent mental illness such as schizophrenia. Currently, Dr. Palmer’s clinical interest is using esketamine for treatment resistant depression.

Dr. Palmer has presented and published on psychiatric topics across the lifespan including screening for adolescent vaping use, adolescent substance use, opioid use disorder treatments, neurobiological perspectives of mental illness, and methods to r... Show more

Christine Noble Seller is an interspecies advocate, systems thinker and bridge-builder working at the intersection of intuitive interspecies communication (IIC), collaborative decision-making and systems change. Practising IIC since 2014, her work increasingly focuses on collaborative contexts with researchers, conservationists and initiatives to explore how wildlife perspectives can inform decisions that affect them.

Her collaborative work includes contributing as a co-author to "Exploring Collaboration across Natural Science and Intuitive Interspecies Communication", presented at the 3rd World Biodiversity Forum in Davos (2024). She is a core team member of Ocean Voices, an IIC practitioner working group, and the Ocean Transformation Programme, led by Dr. Lynne Shannon, Principal Researcher and head of the Marine Sustainability Lab at the University of Cape Town. Ocean Transformation brings together IIC practitioners and professionals from diverse fields, integrating information received through IIC into collaborative research and practice.

Christine is a founding member of Nature’s Council, an international advisory group bringing more-than-human perspectives into decision-making, and a board member of Giving Animals Voice.

Christine Noble Seller is an interspecies advocate, systems thinker and bridge-builder working at the intersection of intuitive interspecies communication (IIC), collaborative decision-making and systems change. Practising IIC since 2014, her work in... Show more

Vyacheslav (Slava) Tykhonov is the head of Artificial Intelligence and Interoperability at CODATA and has a background in information and computer science. Slava has worked for more than 25 years in the area of software development, research and innovation for national, European and international research infrastructures. Most recently, as a Senior R&D Engineer and FAIR data expert, Slava participated in various projects funded by the European Commission. For many years, he has been an active member of the Open-Source community around the Harvard Dataverse platform. As a knowledge engineer and Semantic Web enthusiast, Slava explored and implemented new solutions and data services, from AI and data enrichment to long-term archiving. Slava is co-author of the emerging Croissant for Machine Learning standard.

Vyacheslav (Slava) Tykhonov is the head of Artificial Intelligence and Interoperability at CODATA and has a background in information and computer science. Slava has worked for more than 25 years in the area of software development, research and inno... Show more

Sudhanshu Shrivastava is a Graduate Student Researcher in Electrical and Computer Engineering at UC Davis working on medical imaging and privacy-aware AI. His research spans computational imaging, biomedical image analysis, and multi-site learning for healthcare. He is an author of a recent federated learning study on glaucoma monitoring from color fundus photographs and is interested in secure, deployable AI for real-world clinical settings.

Sudhanshu Shrivastava is a Graduate Student Researcher in Electrical and Computer Engineering at UC Davis working on medical imaging and privacy-aware AI. His research spans computational imaging, biomedical image analysis, and multi-site learning fo... Show more

Andrew Pennington, BS, CCRC, EMT-B, is an EMS Lieutenant and Shift Officer in the volunteer fire and rescue service and a Certified Clinical Research Coordinator at Children’s National Hospital. Since 2022, he has worked in the Department of Orthopaedics and Sports Medicine under the guidance of Laura Tosi, MD, an orthopaedic surgeon specializing in rare bone diseases, particularly osteogenesis imperfecta.

His work at Children’s National has provided experience with osteogenesis imperfecta and other rare skeletal disorders, patient and family education, clinical research, and the challenges patients with rare disease encounter across the healthcare system. His EMS experience provides the corresponding prehospital perspective on caring for patients when specialized expertise may not be immediately available.

Andrew holds a BS in Psychology and is currently a graduate student pursuing a master’s degree in Anatomy & Translational Sciences. His educational interests focus on translating specialized medical knowledge into practical, field-relevant information for EMS and public-safety professionals.

Andrew Pennington, BS, CCRC, EMT-B, is an EMS Lieutenant and Shift Officer in the volunteer fire and rescue service and a Certified Clinical Research Coordinator at Children’s National Hospital. Since 2022, he has worked in the Department of Orthopae... Show more

Security Engineer con 6 años de trayectoria en seguridad ofensiva. Especializado en Red Teaming, infraestructura y entornos Cloud, su trabajo se centra en la explotación técnica de vulnerabilidades y la simulación de adversarios para equipos multidisciplinarios. Actualmente, investiga la convergencia entre la Inteligencia Artificial y la seguridad ofensiva. Su enfoque combina la implementación matemática de modelos de ML con el hacking de infraestructura para exponer riesgos críticos en la cadena de suministro de modelos.

Security Engineer con 6 años de trayectoria en seguridad ofensiva. Especializado en Red Teaming, infraestructura y entornos Cloud, su trabajo se centra en la explotación técnica de vulnerabilidades y la simulación de adversarios para equipos multidis... Show more

Víctor has spent more than a decade building and advancing the field of robot cybersecurity, leading pioneering projects in which Artificial Intelligence is applied to cybersecurity automation across large-scale attack surfaces such as robots. His work includes internationally award-winning publications that helped pioneer the field of AI Security, notably PentestGPT (USENIX 2024, Distinguished Artifact Award Winner). He holds two engineering degrees (EE and CS) completed simultaneously, and a PhD in Robot Cybersecurity from the University of Klagenfurt (Austria).

He is a researcher and an investor in robotics and is regarded as one of the world’s leading experts in robot cybersecurity and computing architectures for robots, following his contributions to the creation of the Robot Operating System 2 (ROS 2), which powers 95% of the commercial robots worldwide. He has delivered talks at security forums across the globe, including Black Hat Europe, Black Hat USA, USENIX, and others.

Víctor has spent more than a decade building and advancing the field of robot cybersecurity, leading pioneering projects in which Artificial Intelligence is applied to cybersecurity automation across large-scale attack surfaces such as robots. His wo... Show more

Brian is a skilled data professional with a strong academic background. During his career, he has always dealt with data in some way or the other. With a degree in Pharmaceutical Sciences (Utrecht University), he originally focused on developing drug discovery tools but shifted his focus to data analytics.

During his PhD at KU Leuven Brian developed 3D-printed chips that allowed to grow of stem cells on a chip, that could further be analyzed using state-of-the-art sequencing tools. He had to integrate many different types of data (microscopy images, genetic sequencing, etc.) to be able to validate the results. He often used scripting tools (R, Python) to develop and integrate these pipelines.

He always had an affinity with information technology and he decided to follow his passion for data with a focus on data engineering. Brian worked on multiple projects since then with Immoweb, Accenture, and Orange Business to grow further in data engineering. He implemented orchestration tools for ELT client workflows and co-developed a prediction application.

Brian has experience in Microsoft Azure, extensive expertise in open-source tooling (Python, R, Airflow, Kubernetes, etc.), and is a (AWS) certified cloud practitioner.

He enjoys spending time outdoors, climbing, and playing his bass guitar outside of work.

Brian is a skilled data professional with a strong academic background. During his career, he has always dealt with data in some way or the other. With a degree in Pharmaceutical Sciences (Utrecht University), he originally focused on developing drug... Show more

Biostatistician by training, time-series crystal-ball operator at Google and protein-knot entangler at Masaryk University. Petr now teaches cheap LLMs to distrust their own vulnerability reports at AISLE. This experiment has somehow put his name on 37 CVEs across OpenSSL, libpng, PostgreSQL, OpenEMR, and OpenClaw. The bugs apparently did not check his résumé. Co-author of HoF-Bench and an ICML 2026 workshop paper on stochastic scanner failures.

Biostatistician by training, time-series crystal-ball operator at Google and protein-knot entangler at Masaryk University. Petr now teaches cheap LLMs to distrust their own vulnerability reports at AISLE. This experiment has somehow put his name on 3... Show more

Suneeth Maraboina is a Senior Systems Engineer at Apple, where he designs and develops audio modules for AirPlay and CarPlay, including AI-based approaches to improving audio quality. He has spent 20 years in multimedia, audio, and signal processing — building the core media stack at Roku, leading acoustics and integrating Dolby Atmos into Windows audio drivers at Dolby Laboratories, and developing audio drivers and processing objects at Qualcomm, Intel, and Microsoft.

That work has one thing in common: it ships compiled into devices he can never reach again. It is the constraint behind his talk on the six laws of designing SDKs for hardware — and what happens to all of them when the newest thing in your library is a file of neural network weights.

He is an IEEE Senior Member, an IETE Fellow, and an SCRS Distinguished Fellow, holds a master's in signal processing from IIT Guwahati, and reviews for technical journals and judges hackathons across the US.

Suneeth Maraboina is a Senior Systems Engineer at Apple, where he designs and develops audio modules for AirPlay and CarPlay, including AI-based approaches to improving audio quality. He has spent 20 years in multimedia, audio, and signal processing ... Show more

Raj is a Mechatronics, Perception, and Controls Engineer with a background in Engineering and Computational Mechanics from IIT Delhi, where he also pursued a minor in Computer Science and advanced AI coursework. His work spans robotics, ADAS, vehicle dynamics, and simulation, with experience at Jaguar Land Rover and the University of Stuttgart. At Origin, he builds robotics systems across perception and controls, having developed and deployed a differential IK control system from scratch and now working on real-time visual servoing. He is passionate about understanding complex systems from first principles, exploring the startup ecosystem, and connecting with people building ambitious technology. Outside of work, he enjoys adventure sports and board games.

Raj is a Mechatronics, Perception, and Controls Engineer with a background in Engineering and Computational Mechanics from IIT Delhi, where he also pursued a minor in Computer Science and advanced AI coursework. His work spans robotics, ADAS, vehicle... Show more

Naveen Suresh is an AI/ML Engineer at Teragonia, where he builds ontology-driven systems for schema matching, automated data modeling, and document intelligence. He previously engineered C++ low-latency trading systems at Morgan Stanley and conducted NLP and multimodal ML research at Carnegie Mellon University during his graduate studies in Computational Data Science. Naveen also worked on generative AI and reinforcement learning methods for de-novo drug discovery. His current work integrates knowledge graphs and LLMs to unify complex enterprise data.

Naveen Suresh is an AI/ML Engineer at Teragonia, where he builds ontology-driven systems for schema matching, automated data modeling, and document intelligence. He previously engineered C++ low-latency trading systems at Morgan Stanley and conducted... Show more

Miguel Olivan from CIRCE brings 20 years of software development experience to the energy sector, focusing on data acquisition, data analysis, and SCADA systems. He develops software for Digital Substations based on the IEC 61850 standard, specifically oriented to protection functions and power quality. He holds a Ph.D. in Physics and an M.Sc. in Systems and Computer Science, combining an academic background with engineering experience to address energy innovations.

Miguel Olivan from CIRCE brings 20 years of software development experience to the energy sector, focusing on data acquisition, data analysis, and SCADA systems. He develops software for Digital Substations based on the IEC 61850 standard, specifical... Show more

https://www.linkedin.com/in/marleen-mohaupt/

https://www.linkedin.com/in/marleen-mohaupt/ Show more

Sai Surya Raja Amogha Tenneti is a Scientist with over five years of hands-on experience in mammalian cell culture, protein large molecule bioprocessing, and automated bioreactor platforms. She has worked extensively in GMP-aligned environments and is recognized as an AMBR Super User with deep expertise in Sartorius ambr 15 and ambr 250 systems. Her work centers on upstream process development supporting monoclonal antibody and AAV production.
In her current role at Eurofins PSS at Janssen, Amogha independently designs, executes, and analyzes AMBR-based studies to optimize media performance, feeding strategies, and process parameters. She has led qualification and validation activities for AMBR systems and cell culture analyzers, authored and executed protocols, and contributed to automation initiatives that improved operational efficiency and data reliability. She also trains and mentors other scientists, strengthening team capability and technical expertise.
Amogha has a strong foundation in analytical and molecular techniques, including HPLC, LC-MS, ELISA, Western blotting, qPCR, and gas chromatography. Her background includes scale-down modeling, data analysis, troubleshooting, and cross-functional collaboration across upstream, analytical, and process development teams. She holds a Master of Science in Bioinnovation and a Bachelor of Science in Biochemistry from Temple University.

Sai Surya Raja Amogha Tenneti is a Scientist with over five years of hands-on experience in mammalian cell culture, protein large molecule bioprocessing, and automated bioreactor platforms. She has worked extensively in GMP-aligned environments and i... Show more

Adam Grzanka is a Polish television presenter, comedian, event host and writer based in Kraków. He is known for hosting programs including “Dwie Stolice” and “1200 Muzeów,” as well as for his stand-up performances and cultural projects connected with Nowa Huta. His work combines humor, improvisation and positive audience interaction.

Adam Grzanka is a Polish television presenter, comedian, event host and writer based in Kraków. He is known for hosting programs including “Dwie Stolice” and “1200 Muzeów,” as well as for his stand-up performances and cultural projects connected with... Show more

• Bachelors in mechanical engineering
• More than 5 years of experience with Power BI, Python and SQL
• Lead developer of Measure Killer, the external tool for Power BI
• Microsoft certified Power BI-Data Analyst (PL-300)

• Bachelors in mechanical engineering • More than 5 years of experience with Power BI, Python and SQL • Lead developer of Measure Killer, the external tool for Power BI • Microsoft certified Power BI-Data Analyst (PL-300) Show more

Rick Izzo has spent well over a decade building open source AI tooling and scientific computing infra. He began as a medical imaging researcher & open source maintainer, then co-founded Tensor[werk], later acquired by Lightning AI. Notable past projects include VMTK, RedisAI, Hangar, and PyTorch Lightning. Since joining NVIDIA, Rick has maintained and championed the Autonomous Job Recovery Engine, designing scheduler-neutral recovery interfaces applicable across both Slurm and Kubernetes.

Rick Izzo has spent well over a decade building open source AI tooling and scientific computing infra. He began as a medical imaging researcher & open source maintainer, then co-founded Tensor[werk], later acquired by Lightning AI. Notable past proje... Show more

Software engineer focused on boosting developer productivity with generative AI. Actively engaged in tech communities and passionate about sharing knowledge.

Software engineer focused on boosting developer productivity with generative AI. Actively engaged in tech communities and passionate about sharing knowledge. Show more

In 2017, Tom Sherman discovered the 5th season of the year after nearly a decade of studying timekeeping and measurement systems. He then spent the next 3 years deconstructing the Gregorian Calendar and re-engineering a New Calendar system using modern math, science and logic that divides time evenly, precisely, and accurately, for the first time in the history of time. With humor, philosophy, and curiosity, Tom is able to expand your perception of reality and uncover new systems and patterns that are currently hiding in plain sight.

In 2017, Tom Sherman discovered the 5th season of the year after nearly a decade of studying timekeeping and measurement systems. He then spent the next 3 years deconstructing the Gregorian Calendar and re-engineering a New Calendar system using mode... Show more