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I am Data Scientist at Airbus, and a techie turned AI/ML Engineer based in Germany. I bring a unique combination of technical expertise, active communication and natural critical thinking. I am now working in three of the most critical areas of AI - Conversational, Computer Vision and Time Series Forecasting. I am also a Certified ScrumMaster® (CSM®)

Teamwork and organisation are something I excel in; demonstrated in active team sports and university assignments. I have good communication skills that I am capable of applying in any environment, and the ability to manage a busy workload with a high level of enthusiasm.

Creative, highly organised candidate, an expert in design, development, and high-performance technology solutions. Demonstrated success in problem-solving and a proven track record with strong attention to detail.

Leveraging reinforcement learning over continuous action spaces for autonomous system control. Leading Moonshots program for innovation bringing step change in value created at enterprise level using cutting edge AI technologies like NLP, Computer Vision and Deep Learning.

Expertise areas: Reinforcement Learning , GANs, Computer Vision, Natural Language Processing, Deploying ML Models, Amazon Web Services - S3, Lambda, EC2, Sagemaker, Azure ML

Patented technologies(applied) include : Staggered Pattern(CATIA), Semantic Painter (CATIA), Automatic Mate of Components using Machine Learning(Solidworks - filed), AI Driven Drawing Checker

Industrial Time Series Anomaly Detection

Time series are ubiquitous in aerospace engineering and their processing can enable the generation of large business value. Manufacturing tools and more importantly, aerospace assets themselves produce large amounts of sensor signals, which cannot be analyzed and even captured in its totality by humans. In this talk we focus on automatic anomaly detection tasks for aircraft sensors. We assess the industrial viability of various semi-supervised anomaly detection systems based on Deep Learning for automatic discovery of point, contextual and collective anomalies on large datasets with little prior knowledge. Moreover, we present the results of a challenge with the same goals hosted by Airbus on its AIGym co-innovation platform, engaging over 150 academic and industrial teams worldwide.

Dr. Sergei Bobrovskyi is a Data Scientist within the Analytics Accelerator team of the Airbus Digital Transformation Office. His work focuses on applications of AI for anomaly detection in time series, spanning various use-cases across Airbus. Prior to Airbus he worked on automated fraud detection for one of the largest e-commerce companies in Germany. Before that he was engaged in various research related positions in the space industry.

Sergei holds a PhD in theoretical physics as well as a physics Diploma from the University of Hamburg. Besides physics he also studied philosophy with an emphasis on the philosophy of mind.

Insurtech and the Principles of Insurance Contract Law

Insurance law and practice have developed in parallel with the ways by which the insurance business has been conducted. Moreover, the ever-changing circumstances in which the subject matter insured may be in, inevitably shape how insurance contracts operate and how the principles of law are developed and adapted to respond to such variations. For instance, the duty of good faith applied since late seventeenth century because of the information asymmetry between the assured and insurer with regards to the risk and the subject matter insured. This asymmetry now appears to have been reversed that insurers have more information than they may need about the assured. Moreover, through telematics especially, they have more power than before to observe the risk throughout the currency of the policy. This talk will discuss if the general legal principles of insurance law have to change in parallel with the advances that the insurance industry has been experiencing in conducting their business?

Özlem Gürses is Professor of Commercial Law at King’s College London. She specialises in insurance and reinsurance law. Özlem is the author of Reinsuring Clauses (Informa), Marine Insurance Law (Routledge), Insurance of Commercial Risks (Sweet and Maxwell), and The Compulsory Motor Vehicle Insurance (Informa) as well as numerous articles published on insurance and reinsurance related topics. Özlem sits in the British Insurance Law Association Committee and the Presidential Council of the International Insurance Law Association (AIDA). She is Vice-Chair of the Reinsurance Working Party of AIDA. Özlem teaches insurance and reinsurance law at King’s College London and abroad, including National University of Singapore, University of Hamburg and World Maritime University, Malmö