Gereon Hinz is a renowned cyberneticist and the founder and CEO of STTech Ailantus. With a significant impact on the development of autonomous mobile robots and advanced driver assistance systems, Gereon is a leading figure in AI and autonomous systems. He has been a keynote speaker and workshop leader at numerous AI conferences and has published extensively in fields like autonomous driving and intelligent infrastructure. His current focus is on creating scalable AI-as-a-service solutions for companies.

Robert Ambrose received his Ph.D. from the University of Texas at Austin in Mechanical Engineering. He received his M.S. and B. S. degrees from Washington University in St. Louis Dr. Ambrose joined the faculty of Texas A&M, accepting the J. Mike Walker Chair in Mechanical Engineering in August 2021. He also serves as the Director for Space and Robotics at the Bush Combat Development Complex. His research interests are in space systems for defense, security and commercial applications, as well as robotics and autonomous systems for helping humans on Earth. He is the TEES Director for Space and Robotics Initiatives, and the Associate Director of the Texas A&M Space institute. Dr. Ambrose retired from NASA in August 2021, where he served in the SES (Senior Executive Service) as the Chief of the Software, Robotics and Simulation Division at NASA’s Johnson Space Center in Houston Texas. The SR&S Division is responsible for flight spacecraft software, space robotics and system simulations for human spaceflight missions. Within the Division are five Branches responsible for managing on-orbit robotic systems for the International Space Station, development of software for the Multi Purpose Crew Vehicle and future human spaceflight systems, simulations for engineering development and training, hardware and software GFE, hardware in the loop facilities for anomaly resolution and crew training, and the technology Branch for development of new robotic systems. Dr. Ambrose has received three NASA medals for Leadership and Technical Achievement, two Government Inventions of the Year Awards, and General Motor’s Most Valuable Colleague Award. Dr. Ambrose was elected to the National Academy of Engineering. He is married to Dr. Catherine G. Ambrose with homes in Texas and Colorado.

Dr Taner Dosluoglu is founder and CEO of weeteq LTD, with decades of successful technology innovation and disruptive product introduction experience in image sensors, audio & power management ICs, and recent introduction of Ultra Edge as circuit level machine learning for industrial motor control. Prior to weeteq, he was the co-founder and CEO of Endura Technologies which was founded in San Diego and expanded R&D operations in Dublin, Ireland. Since 1992, he has managed research and development teams at Tektronix, Sarnoff, and Dialog Semiconductors in US and established Dialog Edinburgh Design Center in 2007. He has more than 50 issued patents covering a wide range of innovations.

Logan Fahey is the President and CEO of Graze Robotics, a leader in developing autonomous commercial mowers for airports, golf courses, and solar fields. Logan began his career in 2012 at PartsSource, managing the family office and venture capital program. In 2016, he founded Fahey Group, transforming Landmark Lawn and Garden Supply and significantly boosting its revenue through successful e-commerce initiatives. At Landmark, Logan and the new management team overhauled the business by consolidating its stores, improving its supply chain, reducing costs and increasing net income. They launched an e-commerce business that generated $30+ million in increased revenue, revamped the brand for direct-to-consumer and business markets, and sold locations, delivering significant returns to shareholders. The next venture was Robin Autopilot, a robotic lawn care company based in Dallas-Fort Worth. Fahey Group acquired Robin in 2019 as a distressed asset, backed by MTD Holdings (now Stanley Black and Decker). As Robin’s new CEO, Logan hired a new management team and repositioned the company as a RaaS firm with a Software-as-a-Service component (including multi-manufacturer fleet management solutions). Robin later became a Husqvarna Venture. Now at Graze Robotics, he drives eco-efficient solutions for large-scale properties, focusing on engineering self-sufficiency, sustainability, manufacturing success, customer satisfaction, and safety. Logan actively participates in industry events, strategic collaborations, and community engagement. He also serves as a strategic advisor to Sensori Robotics, a board member, governance chair, and executive committee member of the National Social Enterprise Alliance, and a board member and chair of Robin Autopilot Holdings. Logan resides in Dallas with his husband, Luke, and their English Bulldog, Benji. They enjoy traveling, skiing, and spending time together.

Prof. Maziar Nekovee is a Full Professor, Head of the Centre for Advanced Communications, Mobile Technology, and IoT and Managing Director of 6G Lab at the University of Sussex, UK. He is Chair of NetworldEurope Technology Platform, WG Enabling Technologies for Future Vertical Ecosystem Transformation, and is Chair of UK Telecom Innovation Network Academic Strategy Working Group . Before transitioning to academia in 2017, Prof. Nekovee held senior positions in industry, including serving as Head of Samsung’s European 5G Research Division and as Group Leader at BT (British Telecom) Research. His research expertise spans current (5G) and next-generations (6G, 7G) mobile communications technologies, applied AI and quantum technologies, with transformative applications in Robotics and Mechatronics, energy, health and more recently space and satellite. He has published 200+ highly cited papers, and one bestselling book, and has given over 100 keynotes, panels and invited talks in the last 10 years. He has a PhD in Physics and an MEng. in Electrical and Electronic Engineering (Cum Laude) from Delft University of Technology, The Netherlands. His accolades include Industry Fellow of the Royal Society (UK Academy of Science), Samsung Electronics Best Practice of Research Award, and the BT (British Telecom) Innovation Award.

Prof. Darius Burschka received his PhD degree in Electrical and Computer Engineering in 1998 from the Technische Universität München in the area of vision-based navigation and map generation with binocular stereo systems. He was a Postdoctoral Associate at Yale University, Connecticut, where he worked on laser-based map generation and landmark selection from video images for vision-based navigation systems. From 1999 to 2005, he was an Associate Research Scientist and later Professor at the Johns Hopkins University, Baltimore Maryland working on medical navigation and Human Machine Interaction. Currently, he is a Professor in Computer Science at the Technische Universität München, Germany, where he heads the Machine Vision and Perception Lab. He is a Science Board Member of the Munich School of Robotics and Machine Intelligence. He was editor for many years for visual navigation and manipulation for ICRA and IROS and co-chaired the IEEE RAS TC for Computer and Robot Vision. His areas of research are sensor systems for mobile, service and medical robots and human computer interfaces. The focus of his research is on vision-based navigation and scene representation from visual information. He is a Senior Member of IEEE.

Having spent over 10 years in people ops, people ops adjacent, and business operation roles, in both the hospitality and tech industry; Daisha has found her sweet spot to be at the intersection of scaling disruptive tech companies, operationalizing the future of work/workforce sustainability, and leading teams to achieve quantifiable success. Daisha is currently the executive director of BuildWithin an AI startup dedicated to reskilling the workforce, she was previously the head of global talent for the robotics and AI Silicon Valley startup Covariant, as well as for the future technology research and development group of Sony Interactive Entertainment.

Prof. Dr. Daniel Cebo is a skeptical and controversial scientist who thinks deeply about our emerging technological future. He was born in 1978 in Sarajevo and grew up in Belgrade,where he studied molecular biology and physiology at the University of Belgrade. During 2005 he left Serbia to Germany where he obtained PhD at University of Freiburg. Following his doctorate in 2010, Daniel accepted a position as a research assistant and later as a principal scientist at Free University of Berlin. During that time, he developed a research interest in investigation of stem cells and community-based research, particularly in global healthcare treats and substance abuse. He is currently an independent researcher and honorary professor with interests in the fields of science, technology and health, with current special interests in synthetic biology, robotics, artificial intelligence and the future of humans. He believes that moving into a new phase of human evolution requires a scientific and technological revolution combined with the substantial spiritual changes that are closely interlinked, complementary and mutually supportive. That type of research is his life interest. He argues about the humanity future because it is believable that the long-term outcomes for our civilization depend sensitively on how we handle the initiation of specific human-machine transformative and digital capabilities

Dr. Leila Gluszak is a distinguished scholar in the field of Management Information Systems (MIS), holding a PhD in this domain. Her academic and professional journey is marked by a profound focus on the integration of Artificial Intelligence (AI) and agent systems within MIS. Dr. Gluszak’s research primarily explores the transformative potential of AI in enhancing business processes and decision-making frameworks. She has contributed significantly to the understanding of how intelligent systems can be leveraged to optimize information management and operational efficiency in various organizational settings.

Saman Babaie-Kafaki received his B.Sc. in Applied Mathematics from University of Mazandaran, Iran, in 2003, and his M.Sc. and Ph.D. in Applied Mathematics from Sharif University of Technology, Iran, in 2005 and 2010, respectively. From 2010 to 2015, he worked as an Assistant Professor at Semnan University (Semnan, Iran), where he was subsequently promoted to Associate Professor in 2015 and Full Professor in 2019. From 2011 to 2015, Dr. Babaie-Kafaki also served as a Non–Resident Researcher at IPM (Institute for Research in Fundamental Sciences, Tehran, Iran). Since May 2023, he has been working as a researcher at the Free University of Bozen–Bolzano (Bolzano, Italy). Dr. Babaie-Kafaki is a member of the editorial board of several journals, including “Numerical Algorithms”, “Journal of Applied Mathematics and Computing”, and “Iranian Journal of Numerical Analysis and Optimization”. His research interests include numerical continuous optimization, matrix analysis, linear regression, and heuristic algorithms.

Prof. Jiaxin Cai is currently an associate professor in the School of Mathematics and Statistics at Xiamen University of Technology. He received his Ph.D. degree in Information and Computation Science from Sun Yat-Sen University in 2014. He also received his M.S. degree and B.Sc. degree in Bio-medical Engineering from Southern Medical University in 2011 and 2008 respectively. He has authored over 40 peer-reviewed papers at academic journals and conferences. His current research interests include machine learning, computer vision and bio-medical engineering.

At a reputable government university in Sri Lanka, Mr. Suresh Aluvihara earned a first degree in Earth Science, Mineral Science, Water Science, Chemistry, Physics, and Mathematics. Subsequently, he finished his master's studies in the fields of environmental and pollution control engineering, water treatments, air pollution control, and materials engineering at the Department of Chemical and Process Engineering, University of Peradeniya, Sri Lanka. Earth science and engineering, chemical engineering, environmental engineering, and material science and engineering are his areas of interest in research including some additional research interests in some useful technologies such as the computer programming and artificial intelligence (AI) technology. As a well-known young researcher, he has published more than 140 insightful research articles and abstracts in the aforementioned fields in high-indexed journals, international research conferences, abstracts, conference papers, full-length papers, and book chapters. In numerous academic conferences, he has given keynote addresses, plenary talks, invited talks, featured talks, and guest lectures. In the interim, he participated in several outstanding conferences and workshops as a moderator, reviewer, and member of the organizing committee. Additionally, he worked as a reviewer, editor for a few special issues, and member of the editorial board for several reputable journals. By the meantime he is serving as a member of the reviewers panel of the master’s and doctorate (PhD) thesis/ dissertation evaluation associated with several recognized universities in the world. In the realm of academic research and competition, he has achieved several noteworthy and noteworthy things, including winning young scientist awards, best thesis prizes, and participation in highly competitive workshops.

Dr. Awais Khan is an Assistant Professor at the Beijing Institute of Technology, Zhuhai, specializing in control science and engineering, interval observer design, and fault detection isolation in uncertain dynamic systems. He holds a PhD in Control Science and Engineering from South China University of Technology and has published 23+ high-impact SCI papers. His research focuses on observer-based control strategies, real-time state estimation, and adaptive control techniques. Dr. Khan has actively contributed to NSFC-funded projects and collaborates on developing advanced aerospace control methodologies.

Received her Ph.D in image processing from Muroran Institute of Technology in Japan in 2004 where she specialized in computer vision and machine learning. Since then, she has focused on image processing and document processing in Canon Inc. From 2019, she joined Research Center of Kyocera Corporation as an Expert. Her current interests include deep learning and computer vision for objects detection, fraud detection, object recognition and object tracing. She serves as committee member for multiple international conferences