On this page you will only see the English-language presentations of the conference. You can find all conference sessions, including the German speaking ones, here.
The times given in the conference program of OOP 2023 Digital correspond to Central European Time (CET).
By clicking on "VORTRAG MERKEN" within the lecture descriptions you can arrange your own schedule. You can view your schedule at any time using the icon in the upper right corner.
- DevOps – The Balance between Dev and Ops
- Full Day Tutorial
- Half Day Tutorial
- Product Development in Balance
- SUSTAIN_ability – Responsible Steps into the Future
- Signature Track: Finding the Right Balance
- Social Integration
- Software Architecture Success Stories
- Software Architecture: New Approaches & Fundamentals
- Testing & Quality
- The State of Modern Web Development
- Trends & Techniques
- Use Domain-Driven Design Now!
- Artificial Intelligence
- Digital Transformation
- IT Management
- Modern Web Development
- Product Development
- Programming Languages
- Social Integration
- Soft Skills/Social Skills
- Software Development
- Technical Debt
- Testing & Quality
- The race for performance and the variety of specialized workloads drives the industry to build more parallel, more heterogenous (multi accelerator), and distributed computing systems.
- These systems introduce programming challenges and barriers of entry to developers.
- Software solutions can make technologies like AI accessible, safer and easier to use by wider communities.
- We will present some of the driving forces, world trends, challenges, and emerging solutions such as oneAPI, AI reference Kits, federated learning and more and demonstrate how SW can be made simpler, safer, and more profitable.
Guy Tamir is a technology evangelist at Intel Software and Advanced Technology group. His main areas of interest and expertise are Artificial Intelligence, Computer vision, Video processing, and Heterogeneous, multi-accelerator parallel computing. In addition, Guy is an active YouTuber with the OpenVINO and oneAPI video channel that just passed 3 million viewers recently. Guy holds an M.Sc. (EE, Technion) and MBA (Open University). Channel link: https://youtube.com/playlist?list=PLg-UKERBljNxsCltpcXU_Haz9xQSCN_SB
Walter Riviera is AI Technical Specialist EMEA Lead at Intel.
Walter joined Intel in 2017 as an AI TSS (Technical Solution Specialist) covering EMEA and he’s now playing an active role on most of the AI project engagements within the Data Centers business in Europe. He is responsible for increasing Technical and business awareness regarding the Intel AI Offer, enabling and provide technical support to end user customers, ISVs, OEMs, Partners in implementing HPC and/or Clouds solutions for AI based on Intel’s products and technologies. Before joining Intel Walter has collected research experiences working on adopting ML techniques to enhance images retrieval algorithms for robotic applications, conducting sensitive data analysis in a start-up environment and developing software for Text To Speech applications.
Carsten Schuckmann is part of Accenture’s Cloud First Applied Intelligence group, who strives to help Accenture clients implement transformative cloud-first offerings, leading with a focus on technical innovations and TCO optimization. Carsten’s key focus is to enable growth across EMEA clients in cloud adoption and AI innovation through thought leadership.
Carsten works closely with Intel and other key ecosystems partners and providers to bring optimization solutions and technology recommendations to Accenture’s clients across various industries.
Learn key patterns, practices, tools, and techniques which lead to successful cloud adoption. Lynn's work with research teams around genomic-scale data pipelines for human health will be highlighted in this keynote.
Since the dawn of software development, programmers have been perpetually occupied with migrating our "legacy" code to "the new platform". As soon as we finish, it is obsolete, and we need to start over. Today we are typically in the midst of moving to the cloud. We need DevOps, microservices, new frontend frameworks ... there is always some new tool that promises to deliver much better value than our existing solutions. Millions - even billions - are spent on these initiatives. Are they worth it? For whom?
In this presentation we will go through various strategies and their tradeoffs. How can we work with our code bases, staff and users to maximise the actual value delivered? The answer will depend on many things. Be conscious of what exactly you are aiming to achieve.
Christin Gorman has more than 20 years experience with hands-on software development. She is currently working on a large migration project in the Norwegian healthcare sector. She has worked for both startups and large enterprises, on systems varying from real-time control systems to e-commerce. What is important in one field is not necessarily important in others. Both in writing and in presentations, she is known for her entertaining way of raising questions about established truths, and making people think about why they are working the way they do.
Sometimes controversial, but never boring.
As tiny robots become individually more sophisticated, and larger robots easier to mass produce, a breakdown of conventional disciplinary silos is enabling swarm engineering to be adopted across scales and applications, from nanomedicine to treat cancer, to cm-sized robots for large-scale environmental monitoring or intralogistics. This convergence of capabilities is facilitating the transfer of lessons learned from one scale to the other. Larger robots that work in the 1000s may operate in a way similar to reaction-diffusion systems at the nanoscale, while sophisticated microrobots may have individual capabilities that allow them to achieve swarm behaviour reminiscent of larger robots with memory, computation, and communication. Although the physics of these systems are fundamentally different, much of their emergent swarm behaviours can be abstracted to their ability to move and react to their local environment. This presents an opportunity to build a unified framework for the engineering of swarms across scales that makes use of machine learning to automatically discover suitable agent designs and behaviours, digital twins to seamlessly move between the digital and physical world, and user studies to explore how to make swarms safe and trustworthy. Such a framework would push the envelope of swarm capabilities, towards making swarms for people.
Sabine Hauert is Associate Professor of Swarm Engineering at University of Bristol. She leads a team of 20 researchers working on making swarms for people, and across scales, from nanorobots for cancer treatment, to larger robots for environmental monitoring, or logistics (https://hauertlab.com/). Before joining the University of Bristol, Sabine engineered swarms of nanoparticles for cancer treatment at MIT, and deployed swarms of flying robots at EPFL. She’s PI or Co-I on more than 30M GBP in grant funding and has served on national and international committees, including the UK Robotics Growth Partnership, the Royal Society Working Group on Machine Learning and Data Community of Interest, and several IEEE boards. She is President and Executive Trustee of non-profits robohub.org and aihub.org, which connect the robotics and AI communities to the public. As an expert in science communication, she is often invited to speak with media and at conferences (over 50 invited talks).