Lars Kunze is a Departmental Lecturer in Robotics in the Oxford Robotics Institute (ORI) and the Department of Engineering Science at the University of Oxford. At ORI, he leads the Cognitive Robotics Group (CRG).
Lars is also a Stipendiary Lecturer in Computer Science at Christ Church, a Programme Fellow of the Assuring Autonomy International Programme (AAIP), and an Editor of the German Journal of Artificial Intelligence (KI Journal, Springer).
His areas of expertise lie in the fields of robotics and artificial intelligence (AI). His goal is to enable robots to understand their surroundings, to act autonomously, and to explain their own behaviour in meaningful human terms. To this end, his research concerns the design and development of fundamental AI techniques for autonomous robot systems. He focusses on the combination of knowledge representation, reasoning, machine learning, and robot perception; motivated by applications in complex, real-world environments.
Lars studied Cognitive Science (BSc, 2006) and Computer Science (MSc, 2008) at the University of Osnabrück, Germany, and partly at the University of Edinburgh, UK.
He received his PhD (Dr. rer. nat.) from the Technical University of Munich, Germany, in 2014. During his PhD, Lars worked on methods for naive physics and common sense reasoning in the context of everyday robot manipulation. He contributed to several national, European and international projects including RoboHow, RoboEarth, and the PR2 Beta program.
In May 2013, Lars was appointed as a Research Fellow in the Intelligent Robotics Lab at the School of Computer Science at Birmingham University. Here he worked on qualitative spatio-temporal models for perception planning and knowledge-enabled perception, contributing to the European research projects STRANDS and ALOOF.
He was a visiting researcher in the JSK Lab at the University of Tokyo, Japan (Summer 2011) and the Human-Robot Interaction Laboratory at Tufts University, US (Spring 2015).
Based in London, Ajit's work work spans research, entrepreneurship and academia relating to artificial intelligence (AI) and the internet of things (IoT).
He is the course director of the course: Artificial Intelligence: Cloud and Edge Implementations. Besides this, he also conducts the University of Oxford courses: Developing AI Applications and Computer Vision.
Ajit works as a data scientist through his company feynlabs - focusing on building innovative early stage AI prototypes for domains such as cybersecurity, robotics and healthcare.
Besides the University of Oxford, Ajit has also conducted AI courses in the London School of Economics (LSE), Universidad Politécnica de Madrid (UPM) and as part of the The Future Society at the Harvard Kennedy School of Government.
He is also currently working on a book to teach AI using mathematical foundations at high school level.
Ajit was listed in the top 30 influencers for IoT for 2017 along with Amazon, Bosch, Cisco, Forrester and Gartner by the German insurance company Munich Re.
Ajit publishes extensively on KDnuggets and Data Science Central.
He was recently included in top 16 influencers (Data Science Central), Top 100 blogs (KDnuggets), Top 50 (IoT central), and 19th among the top 50 twitter IoT influencers (IoT Institute).
His PhD research is based on AI and Affective Computing (how AI interprets emotion).
Mr Phil Chacko
Technical Account Manager, MathWorks
Francesco is the Technical Account Manager at MathWorks for the University of Oxford. He works in the Education Customer Success Engineering Group and consults educators and researchers on the use of MATLAB & Simulink for their projects. Francesco has broad expertise in Artificial Intelligence, including machine, deep and reinforcement learning techniques with application to Robotics & Control systems, signal processing and IoT. He also holds a PhD in Engineering from the University of Cambridge for his work in image analysis applied to experimental fluid dynamics and a MEng in Civil Engineering from Imperial College London.
Dirk Hartmann is a distinguished scientist, intrapreneur, and thought leader in the field of Simulation and Digital Twins.
Among many distinctions, he has been awarded the prestigious Wernervon-Siemens Top Innovator by the Siemens CEO and CTO for generating novel products and services cross product lines through his innovations.
In his career he took several leading roles in research, innovation, and development including a lead of a 2-digit million Siemens R&D program and the technical leadership for the Simulation & Digital Twin field at Siemens Technology.
He is a passionate mentor, teacher, and supervisor for the next generation of innovators and experts exploring jointly promising Digital Twin solutions for the industry.
Beyond this, he is a member of several high-level international conference committees and associations like EU-MATH driving industrial mathematics both on a national, European, and international level.
Dr David Mc Kee, Chair of the Open Source, Standards, and Platform Stacks at the Digital Twin Consortium / CEO, CTO and founder, Slingshot Simulations
Dr David McKee is the CEO, CTO and founder at Slingshot Simulations, an enterprise fellow at the Royal Academy of Engineering, and chairs the technology working groups at the OMG Digital Twin Consortium. As CTO at Slingshot since 2019 David leads the company’s work on Digital Twins working across Cloud, IoT, and machine learning platforms.
At the Digital Twin Consortium David jointly lead the work on standardising a Digital Twin definition and continues to lead the Technology, Terminology, and Taxonomy working group. He is also responsible for leading the Open Source Initiative and a collaborative effort including Microsoft, Bentley Systems, DELL, and NTT to define a reference architecture for building Digital Twin Systems.
Before forming Slingshot David was a senior researcher at the University of Leeds building these systems for partners including the likes of Jaguar Land Rover and AliCloud.
Ayşe Mutlu is a data scientist working on Azure AI and devops technologies. Based in London, Ayşe’s work involves building and deploying Machine Learning and Deep Learning models using the Microsoft Azure framework (Azure DevOps and Azure Pipelines).
She enjoys coding in Python and contributing to Open Source Initiatives in Python.
Keith Myers is an artist, professional speaker, and the creative director of AVimmerse, who have produced immersive content for clients including: The NHS; BBC Arts; The Wildlife Trust; Liverpool John Moores University; and Gymshark.
He also teaches immersive media production techniques and has worked with institutions in the UK, including The University of Manchester, and Manchester Metropolitan University. In addition, he has taken an active role in Virtual Reality Labs across the North-West region for the last 4 years, where he has shared production techniques, design approaches, and led teams of artists to fulfil briefs.
His tech talks focus on immersive production, critical analysis of a new medium, and immersive storytelling techniques. He has spoken at Leeds Digital Festival, Tech Week Humber, and the annual AR/VR conference in Manchester.
Aero Technology Lead - Alpine F1 Team
Robbie is the leader of the Aerodynamics Technology group at Alpine F1 Team. He joined the Team in 2016. His work includes the development of physics based aerodynamic models, diagnostic tools, data analysis and future methodology. In addition, he is also responsible for a number of technical and academic partnerships.
Prior to joining the Team, Robbie was a Post-Doctoral Research Associate at the Cambridge University Engineering Department and a Clare College Cambridge Research Associate conducting research in high Mach number flows.
Robbie received his Ph.D. from Cambridge University in 2015. His Ph.D. research involved the development of a reduced-order theoretical model to describe flapping-wing flight (at small bird/insect scales).
Robbie is also a chartered member of the Institute of Mechanical Engineers and the author of several published works in Aerodynamics and Fluid Mechanics.