Edgar Ricardo Quiroz Villón is a civil engineer with over 25 years of international experience in mining infrastructure, tailings governance, and water resource management. He currently serves as Executive Chairman & CEO of Frame Limited, a boutique consulting firm specializing in AI-driven risk management, Mine-to-Tailings digital integration, and ESG governance for critical mining infrastructure across Latin America. Edgar has held senior corporate roles overseeing more than 40 tailings and waste management facilities in Peru, Chile and Brazil, and has contributed to the design, construction, and governance of some of the largest copper operations in the world. His expertise integrates geotechnical engineering, digital transformation, and predictive analytics applied to high-consequence infrastructure systems. He holds a Doctorate in Water Resources and an MBA from Universidad de Chile and ESCP Business School (Spain). Edgar is an international speaker on AI applications in tailings safety, digital twins, ESG risk intelligence, and climate-resilient mining systems. His current work focuses on developing explainable AI frameworks and autonomous monitoring architectures that support zero-failure infrastructure management in mining and other critical industries.

Prof. Dr. Kaya Kuru received the B.Sc. degree from the National Defence University (Turkish Military Academy), the ADP/Major degree in computer engineering from Middle East Technical University (METU), the M.B.A. degree from Selçuk University, and the M.Sc. and Ph.D. degrees in computer science/medical informatics from METU. He completed his postdoctoral studies with the School of Electronics and Computer Science, University of Southampton, U.K. He has recently engaged in the implementation of numerous AI-based real-world systems within various funded projects. His research interests include the development of geo-distributed, responsible, ethical and autonomous intelligent systems using FL, ML, DL, and DRL with CPSs.

Dr. Armando Vieira is Professor at University of Tartu. He is a physicist, machine learning researcher, and AI specialist with over 25 years of experience in advanced computational methods and intelligent systems research. He earned his PhD in Theoretical Physics from the University of Coimbra, where he began pioneering work on neural networks and deep learning in the early 2000s. Dr. Vieira has authored more than 150 peer‑reviewed publications spanning machine learning, deep neural networks, and AI applications across domains such as medical imaging, drug discovery, and complex data modelling.His research interests include generative AI, domain‑specific natural language processing, and the integration of AI into high‑impact workflows such as healthcare and clinical documentation. He has held academic positions and contributed to scientific communities internationally, while also engaging in interdisciplinary collaborations that bridge theoretical methods with real‑world applications.As Chief Data Scientist at Medgical.ai, where he focuses on developing robust AI solutions for clinical decision support and automated documentation, and continues to contribute to the scientific discourse on AI’s role in research and society.

Dr Suma Parahakaran is from Inti International University, Malaysia. She is a visiting professor for the American University of Sovereign Nations (USA). Suma has been working as a researcher, Online learning consultant and Module Writer in topics such as Artificial Intelligence and Sustainable Development Goals for Higher Education. She has been awarded the ERA Award consecutively for 2025 and 2026 for Sustainable Developmental Goals. Her research interests include Ethics and Values integrated teaching and learning for all AI and technology related fields. Suma has been invited to Tokyo, Thailand, Malaysia and India for keynotes related to Environmental Education/ Values and Ethics Education for Sustainable developmental goals.

Adam Krawczyk is the CIO and co-founder of WiseVision, a Polish deep-tech startup building an operating system for distributed robotics and IoT. He focuses on connecting autonomous robots with large-scale sensor networks (LoRaWAN, edge devices, industrial telemetry) and enabling real-time decision making across factories, smart cities, and defense scenarios. His work spans ROS 2 systems architecture, digital twin simulations using game-engines, and MCP-based agent control and reasoning for robots. Adam leads product strategy, technical direction, and early customer engagements, helping companies prototype, simulate, and deploy autonomous systems faster and with less risk. He’s especially interested in scalable infrastructure for swarms of mobile robots, and in practical, investor-ready paths from demo to production.

Dr. Jamal Toutouh is a Tenured Professor at the University of Málaga and Research Associate at MIT CSAIL. He holds a Ph.D. in Computer Engineering (Best Spanish Ph.D. Thesis in Smart Cities Award, 2018). His research focuses on Artificial Intelligence, Machine Learning, and Evolutionary Computation, particularly on co-evolutionary algorithms for training neural networks, Generative Adversarial Networks, and adversarial machine learning. He has authored more than 20 JCR-indexed papers and 60+ international conference publications (h-index 25, >2,200 citations) and received multiple best paper and thesis awards. He also applies AI to smart cities, sustainable mobility, and climate-aware systems, and serves as Board Member of SPECIES Society and Associate Editor for leading AI journals.

Mr. Alessio Persichetti is a Software Engineer and Technical Lead based in Rome, Italy, with over five years of experience in backend development, AI systems, and performance optimization. He currently serves as a Technical Lead Engineer at E23 Retail, where he focuses on building scalable AI-driven infrastructures and high-performance data systems. Previously, he served as CTO at ECTM Ingegneria, leading a 12-member engineering team to develop one of the industry’s first production-grade AI multi-agent systems (pre-GPT-4), later open-sourced as part of Microsoft AutoGen. Mr. Persichetti’s expertise spans Go, TypeScript, Python, cloud infrastructure (AWS, Azure), and AI frameworks such as LangChain and AutoGen. Passionate about innovation and automation, he continues to explore the intersection of multi-agent systems, generative AI, and enterprise software scalability.

Dr. Wayne Liu is the President and Chief Growth Officer of Perfect Corp (NYSE: PERF), a global leader in AI and AR solutions for beauty, fashion, and retail. He has led the company’s transformation from a pioneering startup to a publicly traded enterprise, driving its shift toward an AI-first, API-powered ecosystem. Prior to Perfect Corp, Wayne held engineering and management roles at NVIDIA and Intel. He is also a Forbes Business Council member and Adjunct Professor at the City University of New York and the Fashion Institute of Technology, where he teaches courses on AI, innovation, and entrepreneurship. Dr. Liu earned his Doctoral degree from the University of Southern California, MBA from Santa Clara University, and MS from Case Western Reserve University. His work bridges corporate practice, academic research, and entrepreneurial innovation.

Jyoti Shah is a seasoned technology leader with over two decades of experience in application development, digital transformation, and AI innovation. As Director of Application Development at ADP, she combines deep technical acumen with strategic vision to drive scalable enterprise solutions. With 15 years as a full stack developer, Jyoti has mastered modern technologies including GenAI, React, Angular, Java, and JavaScript. In recent years, she has led AI-powered initiatives that optimize client engagement and sales intelligence. Jyoti is also a passionate advocate for inclusion and community growth—she is one of the leaders in the IWIN (International Women's Inclusion Network) Women in Technology chapter at ADP and actively volunteers across multiple social causes. A committed mentor and hackathon judge, she is known for nurturing talent, fostering cross-functional collaboration, peer reviewing other’s work and aligning technology with business value. Jyoti’s leadership lies at the intersection of innovation, operational excellence, and impact-driven development.

Dr. Mohammad Nour Albaarini is a lecturer in Computing at Arden University. His PhD in Artificial Intelligence, with research focusing on deep learning, ethical AI, and data-driven decision-making. He Also holds a Master’s degree in Big Data Analysis and a BSc in Computer Science. Nour has extensive experience teaching undergraduate and postgraduate students across areas including, artificial intelligence, data science, and cloud computing. In addition to academia, he serves as the CTO of Digital Excel Group, where he leads on developing innovative digital solutions. Passionate about bridging research and practice, Nour’s work integrates cutting-edge AI applications with pedagogy, digital transformation, and sustainable development initiatives.

Principal AI Research Engineer at Plain Concepts and a nine-time Microsoft Most Valuable Professional (MVP) in Artificial Intelligence. I hold a degree in Computer Engineering and a Master’s in Soft Computing and Intelligent Systems. My work centers on designing and implementing state-of-the-art deep learning solutions, with a strong focus on computer vision and generative AI. Deeply passionate about artificial intelligence and emerging technologies, I bring research into practice by developing solutions with real-world impact. This passion also drives ongoing engagement with the AI community, where I share insights through talks, publications, and collaborations with industry leaders, contributing to the growth and responsible adoption of AI.

Dr. Ivanof is a seasoned university professor with over 25 years of teaching experience in Strategic Management, Entrepreneurship, Innovation, and International Business. He is also the President & CEO of GlobalBox.world, an advanced global digital infrastructure initiative known as Project Earth 2.0. With extensive international exposure—having lived and worked in 12 countries—he brings a strong global mindset, cross-cultural expertise, and a proven track record in academia, executive education, and corporate leadership. His career blends academic excellence with strategic industry insights, focusing on innovation management, global commerce, and entrepreneurship.

Yilun Shang received the B.S. and Ph.D. degrees in Mathematics from Shanghai Jiao Tong University, China, in 2005 and 2010, respectively. He is an Associate Professor and Head of Subject for Data Science and AIat Northumbria University, UK. His research interests include complex networks and systems, probability and analysis, algebra and combinatorics, optimization and control, data science and artificial intelligence.He is an Editor-in-Chief for Research in Mathematics and a Section Editor for Heliyon, PeerJ Computer Science, Science Progress, and PLoS Complex Systems.

Hema Sagar Endluri is a Ph.D. student in Data Science and a graduate researcher at Harrisburg University of Science and Technology, as well as a seasoned data scientist and AI developer with over six years of professional experience. He has led and contributed to projects involving large-scale machine learning systems, natural language processing (NLP), predictive modeling, and AI-driven automation across both healthcare and enterprise domains. Currently, Hema’s academic research focuses on developing retrieval-augmented AI chatbots that support diagnostic decision-making in clinical environments. His work integrates Large Language Models (LLMs) with vector search systems such as FAISS to enable fast, semantically rich retrieval of unstructured clinical data. Using a mixed-methods evaluation framework, he bridges technical performance metrics with real-world feedback from healthcare professionals to ensure trustworthy, interpretable, and scalable AI deployment. Passionate about explainability, ethics, and human–AI collaboration, Hema’s research aims to make intelligent systems more transparent, effective, and usable in sensitive domains such as healthcare. He continues to explore how machine learning, computer vision, and robotics can jointly shape the next generation of medical intelligence systems.

Xiaoyan Dai, Received her Ph.D. in image processing from Muroran Institute of Technology in Japan in 2004, specializing in computer vision and machine learning. Since then, she has focused on image processing and document processing at Canon Inc. In 2019, she joined the Research Center of Kyocera Corporation as an Expert. Her current interests include Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Pattern Recognition, Anomaly Detection, Data Miningand Natural Language Processing. She serves as an organizing committee member for multiple international conferences. She is also a speaker at multiple international conferences.

Muhammad Danyaal Ahmad: Muhammad Danyaal Ahmad is an undergraduate Bachelor of Science in Artificial Intelligence student at the Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi, UAE, where he is also a Pioneer Scholarship holder. His academic and professional interests lie at the intersection of machine learning, data analysis, cybersecurity, and interdisciplinary problem-solving. Danyaal has a strong technical foundation in Python, C++, and Java, supported by hands-on experience through academic projects, coding competitions, and real-world job simulations with organizations such as PwC, Accenture North America, AIG, GE Aerospace, and Engineers Without Borders UK. His project work ranges from defense framework analysis and cybersecurity vulnerability assessments to engineering data visualization and IT product launch management. A high-achieving student, he holds a US High School Diploma with Honors (98% and 3.92 GPA) and has earned multiple international recognitions, including distinctions from the Goi Peace Foundation (Japan), the John Locke Institute (UK), the American Society of Human Genetics (USA), and the International Climate Science Olympiad (UK). He has also completed a broad set of interdisciplinary certifications from leading institutions—including Stanford University, IBM, Google, Johns Hopkins University, the University of Sydney, and Imperial College London—demonstrating his commitment to continuous learning. Beyond academics, Danyaal is passionate about STEM accessibility and youth engagement. He volunteers with global initiatives such as UNDP RBAS Regional Youth Project, Project Gothenburg, Jersey STEM, and Science Go Seek. His interests extend to blogging about technology and gaming, upgrading computer systems, and exploring innovations in space and engineering. Driven, analytical, and creative, Danyaal aims to contribute thoughtfully to the future of AI by integrating technical expertise with real-world impact.

Anna Saranti is an AI Engineer at RINGANA, where she works on data-driven evaluationsand the development of intelligent multi-agent systems using frameworks such as crewAI and LangGraph, supported by retrieval-augmented generation (RAG).She holds both an MSc and a PhD in Explainable Artificial Intelligence (xAI),each awarded with distinction from Graz University of Technology (TU Graz).Before joining RINGANA, she served as a tutor and Postdoctoral Researcher at several universities in Austria.Anna’s research and professional interests include the practical applicationof Deep Reinforcement Learning (DeepRL), time-series forecasting, and causal modelling with counterfactuals.She also brings extensive industry experience as a software developer, data scientist,and AI engineer across multiple technology sectors.

Aditya Mulik is a Software Engineer at Walmart Global Tech, where he focuses on building and scaling distributed systems and AI-powered applications. He has a proven track record of driving projects from pilot experiments to production-ready solutions, with a particular emphasis on Agentic AI, large-scale data processing, and end-to-end pipelines that unlock measurable business value.Aditya is also an active contributor to open-source software and deeply engaged in the LangChain community, where he helps shape emerging integrations and advancements in applied AI. His passion lies in bridging the gap between research and real-world implementation, ensuring AI innovations are not just theoretical but also impactful in production environments.In addition to his technical work, Aditya has been invited to speak at leading AI summits and enjoys mentoring fellow engineers on system design, distributed systems, and the evolving landscape of applied artificial intelligence.

Jörg studied MSc computer science at TU Wien and began his career as a technical consultant in the Microsoft Partner Network. At OMV, he started as a platform manager for the Hybrid Integration Platform. He was soon appointed Domain Architect for Artificial Intelligence at OMV Group IT and is now responsible for the technical design of reference architectures and the self-service AI platform - the AI Hub.

Vishalji Odedra is a Graduate Machine Learning Engineer and AI Analyst with expertise spanning computer vision, natural language processing, and MLOps. He has co-authored AI-focused research papers on malicious document detection using supervised ML and a Retrieval-Augmented Generation (RAG) chatbot – O-RAN Assistant in telecommunication. His applied projects include developing a hybrid ResNet50–Vision Transformer model for skin cancer detection, achieving 91% accuracy, and collaborating with Buro Happold on active learning, zero-shot and few-shot object detection for architectural floorplans images. Vishalji also designs end-to-end ML pipelines with Airflow and MLflow, ensuring reproducibility, ethical compliance, and deployment readiness in checking creditworthiness. Passionate about translating AI research into real-world systems, he brings experience across healthcare, engineering, and intelligent automation to advance trustworthy and impactful AI solutions.

Akinyemi Arabambi is an AI researcher and solution architect with expertise in industrial automation, machine learning, and enterprise AI systems. He has developed AI-powered solutions across manufacturing, logistics, and digital platforms, including advanced RAG systems, IoT integrations, and business process optimization tools. With a background in Mechanical Engineering, Oil & Gas Engineering, and Artificial Intelligence, Akinyemi combines deep technical knowledge with practical problem-solving to deliver secure, scalable, and professional solutions. He is also the author of open-source Python libraries used by thousands of developers worldwide and an active leader in the AI and tech community, spearheading initiatives such as Global AI Wolverhampton.

Dr. Debarati Chakraborty has done her PhD and post-doc from Center for Soft Computing Research, Indian Statistical Institute, Kolkata, India in 2017 and 2019 respectively. She subsequently served as a faculty member at IIT Jodhpur and VIT-AP University for a period of five years. Currently, she holds the position of Lecturer in Computer Science at the University of Hull, UK. Her research interests span a broad range of areas within artificial intelligence, including machine learning, generative AI, ethical AI, rough sets, granular computing, video processing, reinforcement learning, uncertainty modelling, deep learning, robot vision, and edge AI. To date, she has published eleven international journal articles, including two in IEEE Transactions, alongside six international conference papers and one authored book. Dr. Chakraborty was honored with the prestigious Fellowship of Higher Education Academy, UK in 2025 and the Young Scientist Award by Indian Science Congress Association in 2012. In addition to her research contributions, she has over six years of teaching experience, during which she has led and taught a variety of AI- and ML-related courses. She has also actively mentored students in research across multiple institutions, fostering a strong culture of academic inquiry and innovation.

Ms. Yulia Smoilovska, MBA, is an accomplished technology executive with over 18 years of experience leading enterprise-scale software development and digital transformation programs. Based in Barcelona, she currently serves as Client Success Manager at DXC Technology, where she focuses on delivering complex solutions that address critical business challenges for leading clients in finance, capital markets, and FinTech.Her expertise lies in designing and delivering enterprise solutions that integrate consultancy and engineering capabilities across AI/ML, Big Data, cloud modernization, and real-time trading platforms. Yulia has directed the development of mission-critical systems requiring high scalability, performance, and security, consistently aligning advanced technologies with demanding business requirements. With deep experience across the full SDLC, she drives innovation from concept through execution, ensuring technical excellence and measurable business outcomes.Combining strategic business insight with hands-on technology leadership, she enables organizations to accelerate digital transformation and achieve sustainable growth.

My name is Gabriel Nery and I am a researcher at Ericsson, Center of Excellence in Artificial Intelligence (CEIA) and Advanced Knowledge Center for Immersive Technologies (AKCIT). My work centers on the intersection of computer vision and distributed systems , specializing in the deployment of 3D detection models on resource-constrained devices like XR/AR glasses and offloading of those models to edge devices using Web Assembly and 5G networks. I’m also a researcher in creating anti-fraud systems with facial detection and passionate about robotics and digital twins

Mehmet Emin Aydinis Senior Lecturer in Computer Science at the University of the West of England. He has received BSc, MA and PhD degrees from Istanbul Technical University, Istanbul University and Sakarya University, respectively. His research interests include machine learning, intelligent agents and multi agent systems, metaheuristics, swarm intelligence, resource planning, scheduling and optimization, combinatorial optimization. He has conducted several guest editorial roles for special issues of peer-reviewed international journals. In addition to being the member of advisory committees of many international conferences, he is editorial board member of various peer-reviewed international journals. He is currently fellow of Higher Education Academy, member of EPSRC College in the UK, and senior member of ACM and IEEE.

My name is Daniel Eneh, I am Research Software Engineer with expertise in spatial AI, computer vision, LLM and integrating AI and data driven approach on edge to solve robotics problems. I recently conducted research on the HUME (a project in collaboration with Seebyte and Heriot Watt University) project for advancing underwater perception using AI algorithms. I currently work in offering Robotics and AI consultation to companies and best practices for adopting AI into their legacy systems.

Erick Busuulwa is an AI/ML Engineer and recent Master’s graduate in Artificial Intelligence from Nanjing University of Information Science & Technology, where he ranked among the top 8% of his cohort. His expertise spans human–robot interaction, real-time multimodal AI systems, and knowledge-enhanced machine learning models. With professional experience in AI modeling, computer vision, DevOps, and network engineering, Erick has contributed to projects in autonomous driving, gesture recognition, and large language model applications. His work combines technical depth with a focus on building scalable, impactful AI solutions that bridge the gap between research and real-world deployment. Erick is passionate about advancing AI, machine learning, and robotics through innovative research and practical applications, with the goal of creating technologies that enhance human capabilities and improve lives globally.

I currently lead the pioneering AI department at 4US Technology, where I am responsible for defining strategy and driving the development of Cloud and Artificial Intelligence solutions. I also serve as a researcher at CEIA (Center of Excellence in Artificial Intelligence) and AKCIT (Advanced Knowledge Center for Immersive Technologies), conducting advanced research in audio and voice processing, including Text-to-Speech and Voice Conversion for major Latin American industry leaders. My work focuses on creating innovative AI-driven solutions applied to education, justice, healthcare, and sustainability, with the mission of generating measurable, real-world impact.

Kauan Divino Pouso Mariano holds a Bachelor’s degree in Artificial Intelligence, a Postgraduate degree in Artificial Intelligence, and is currently pursuing a Bachelor’s degree in Biotechnology. He is a researcher at the Center of Excellence in Artificial Intelligence and at the Advanced Knowledge Center for Immersive Technologies . His main research focus is the application of artificial intelligence to healthcare, developing innovative solutions that integrate data science, biotechnology, and clinical practice. With notable projects addressing the detection of fake news in medical information. His work emphasizes technological innovation as a driver to enhance diagnostic processes, treatment strategies, and data reliability in healthcare, bridging the gap between technology and social impact.