Get to know our researchers

I am a research engineer working on computational material modeling on different scales. My current focus is on the intersection between physical modeling and artificial intelligence. The overall question in this process is how these two approaches can best be combined to "hybrid" methods. The goal is to substantially improve our products through faster and more precise models.

Since 2019, in my role as a Senior Expert at Bosch Research, I have been linking the topics of microfluidics and molecular diagnostics with microsystem technology to develop innovative, unconventional solutions. From the outset of my studies, I have been inspired by merging the areas referred to above. In addition to my expert and team leader tasks, I am currently working in close collaboration with the Bosch Healthcare Solutions subsidiary on future topics to develop new, ground-breaking solutions for our Vivalytic platform.

Head of Research and Technology Office Russia and chief expert for multi-phase flow and cavitation. Received PhD and MS degree in the Department of Numerical Mathematics at the Technical University of Dresden, including a 6-month course of study at Moscow State University. In addition to this, I received a PhD in process engineering from Otto-von-Guericke University in Magdeburg on the field of modeling of cavitation phenomena. Research interests include computational fluid dynamics of two-phase flow, modeling of phase transition, hydraulic systems, real gas flow, numerical methods for Euler and Navier-Stokes equations, and AI methods for numerical methods for differential equations.

I manage and contribute to research in electrochemistry and materials, which includes fuel cells, batteries, and emerging topics. Previously at LANL, I focused on fuel cells, especially catalysts, supports, and electrodes. At Bosch, my team engages in electrochemical material and device development (e.g. fuel cell, battery, water purification), material property measurement, and advanced characterization.

My name is Dr. Helerson Kemmer, and I am a thoroughgoing system engineer working with fuel cells for mobility applications. My function is to anticipate and shape the future systems and derive research projects to prepare my company for that. To accomplish these tasks, I am project leader and chief expert for future fuel cell systems.

My work always focused on topics around AI and robotics. Either in academia or industry. In Academia, I completed my doctorate, post-doctoral degree and habilitation in this area. In industry, I worked in Los Angeles, California at iRobot on the Roomba and Terra robots, and at FaceMap I developed deep learning solutions. To date, I have published almost 100 papers and designed more than a dozen successful robot systems taking first place at international competitions. I was an Executive at RoboCup, General Chair and PC Chair of the IEEE SSRR Symposium, and regularly work as an Associate Editor at the AAMAS, IROS and ICRA conferences.

As Project Leader, I work on solutions for automated driving.

I find it particularly exciting to look at the entire process chain from surround sensors and digital maps through perception and planning to actuator technology. Understanding and modeling these functional correlations in depth and testing them as prototypes is a core aspect of my work.

After completing a doctorate in robotics, I started to research driver assistance functions at Bosch in 2008. My work on automated vehicles – mobile robots – now brings me full circle.

My first research topic at Bosch involved injection molding of silicone resins containing ceramic fillers. These resins could be converted into ceramic using a thermolysis process. Then I focused on thermoelectrics. Motivation was to convert the waste heat of a combustion engine directly into electrical energy. My current work aims at improving the property profiles of carbon nanotubes or graphene based conductors to that level they are able to replace copper in electrical powertrains.

I am a passionate chemist, with focus areas in synthesis, characterization, and electrochemical device design, especially for energy storage and conversion. I have developed materials for energy storage applications and I study the structure-property-performance relationships of such novel solids using synchrotron radiation and various state-of-the-art spectromicroscopic techniques. The insights gained from my work are used to develop cost-effective and efficient solutions for energy storage and conversion, specifically for the widespread commercialization of zero-emission vehicles. I have also developed a new concept together with our team for an electrochemical water purification system.

I am a research scientist at the Computer Vision Lab of Robert Bosch GmbH. I am interested in object detection and tracking, sensor fusion, scene understanding, and machine learning. For me, automated driving at all levels is currently the most interesting challenge in computer vision and machine learning. My daily work is to push the borders for vision-based automated driving, making algorithms more robust and thus cars safer.

As senior expert and team leader in accident research, I carry the overall responsibility for Bosch accident research worldwide.

On the basis of real-world traffic accidents, I derive the strategic goals for products of the business and regional units of Bosch. In addition to my international activities, I also participate in committees and publicly funded projects.

My current research focus is the conception of a simulation environment for the evaluation of automated driving functions. To do this, I build a link between data from traffic observations and conventional on-the-spot investigated crash data.

I have been working in central analytics at Robert Bosch GmbH since 2016 and I am a member of the “Data Analysis and Machine Learning” team. My work focuses on developing adapted models based on machine learning for clarifying and evaluating complex correlations / cause-effect relationships and aging mechanisms of plastics and adhesives in order to improve product reliability. Together with my colleagues, I make essential contributions toward new technological developments and quality assurance of Bosch products.

I am a research engineer in the Dependable Connected Systems Department (CR/AEX). I work in the area of cognitive systems and semantic technologies. My research interests include machine learning, knowledge management, semantic inference, and reasoning. Application areas of my research include driver assistance, speech recognition, computer vision, face recognition, smart agriculture, handwriting recognition, and video surveillance.

I am a Senior Expert in Robust Scalable Perception at the Bosch Center for Artificial Intelligence. My research is motivated by the desire to advance the understanding, robustness, and applicability of deep learning-based perception. In particular, I focus on evaluating and increasing the robustness of neural networks. While neural networks excel in classifying data coming from the distribution they have been trained on, they often perform poorly on data with slightly different properties. Addressing this shortcoming is crucial for applying neural network-based perception in safety-critical domains such as automated driving, where they will inevitably be faced with situations not encountered or foreseen during training.

I am a passionate researcher in the field of laser production engineering, and as a senior expert at Bosch Research, I am responsible for the bases and simulation of laser processes with ultrashort-pulse lasers. We harness light for the manufacture of high-precision products possessing entirely new features.

More than 20 years working on the different algorithms related to automated driving. These include perception, motion planning and control, localization etc. Currently investigating the very interesting and challenging field of radar perception with deep learning.

I have been a guest professor at the Free University in Tbilisi, Georgia (Institute of Mathematics and Applied Computer Science - MACS) since 2016. I give lectures in Computer Vision and Machine Learning.

I am very proud of the fact that in 4 years I have accumulated 800 voluntary hours and introduced the fascinating subject of machine learning to more than 400 students.

In the past, I was often able to prove that 'nothing is more practical than the result of the complex theory'.

~40 journal and conference publications
~55 patents

After having studied Computer Science, I first joined IBM Research & Development GmbH where I have held various lead positions in the field of software architecture & development and where I have acted as the head of multiple (university) research groups. Most recently, I have been working for IBM's Cloud division where I was a Program Director (OM) & Senior Technical Staff Member (STSM), primarily responsible for IBM's serverless solution IBM Cloud Functions. In 2011, I was appointed an IBM Master Inventor. In 2013, I became a member of IBM's Technical Expert Council.

At Bosch Research I am part of the research division software-intensive systems where I head teams dealing with (hard- and software) topics such as wired and wireless communication technologies (e.g. 5G), software and hardware (co-)design, especially for purposes such as machine learning (e.g. for deep neural networks), security, privacy, safety, and software technologies, particularly in the context of cloud computing and IoT.

During the last few years, I have been closely working together with different customers across the globe and frequently spoken at international conferences such as IBM Think, the Codemotion Amsterdam and Warsaw, the Cloud Foundry Summit Frankfurt, the GOTO Berlin, the Serverless Conferences in Austin, London, New York, Paris, and Tokyo, and the Serverless Days in Hamburg and Tel Aviv.

I work in a department that researches and does the advance engineering of future products for which fluid dynamics have an important function. We see disruptive principles, new system approaches, and completely new product technologies as some of the main drivers of our innovations. My activities range from the initial generation of ideas and evaluation of concepts to the realization and testing of prototypes.

I work on knowledge-based intelligent systems. My primary interest is to investigate how semantic resources like computational ontologies and lexical databases can be used to augment learning algorithms, and help machines to make sense of the world. I strive to make progress in explainable AI, which I’m convinced can be achieved only by designing systems that integrate human-accessible machine representations with neural networks.

We use quantum mechanical simulations for predicting properties of materials at the atomic scale. The properties are varied (conductivity, stability, reactivity, sensitivity, selectivity) and application specific (thermoelectrics, batteries, fuel cells, sensors). We perform a computational screening of candidate materials for the desired property and suggest promising candidates for experimental synthesis and characterization.

My name is Veronika Schleper, and I deal with the aspects of virtual product development. During my Ph.D. and postdoctoral studies, my research was predominantly in the areas of optimization and multiphase flows. Since 2016, I have been working as a research engineer, dealing with shape optimization and fluid dynamics, especially in porous media. The application areas range from heat exchangers to state-of-the-art fuel cells.

As a computer scientist, I am excited to explore and advance innovative technologies in the context of the Internet of Things (IoT) and connected services. After years of next-generation mobile network research and standardization, I now concentrate on the key challenges of leveraging data of connected devices, namely semantic interoperability and knowledge management in open and scalable data ecosystems.

I am an engineer with a broad background from mechanical engineering to medical diagnostics. Currently, I am a senior research scientist in the bioelectronics team. Our team is developing new technologies for next-generation medical diagnostics, especially for point-of-care applications. Our vision is to revolutionize healthcare by combining Bosch competencies such as MEMS sensors, circuit design, wireless communication, and biochemistry.

I am a senior research scientist at Bosch Research in Renningen for Quantum Technologies and coordinating Quantum Technologies at Bosch. My focus areas are Quantum Computing and Quantum Random Number Generators and I'm very much interested in the foundations of quantum physics and in modeling quantum systems. Quantum Technologies is a research activity which is still in an early phase and, therefore, cooperation with the academic community and public funding initiatives is important. For this reason, I am very active in the European Quantum Flagship, as a member of its Coordination Office and as a representative of German industry in its European Quantum Community Network.

I am an internationally experienced R&D manager (Japan, USA, Sweden, Germany), including OEM (Nissan), Tier 1 (Bosch, presently), Supplier (Solvay) and Research Institute (e.g., Max Planck) positions, in the field of polymer and fuel cell, along an entrepreneurship spirit. Presently, our team works with global colleagues at different organizations, focusing on PEMFC stack technologies, involving external partners, where I am a senior expert and head of Bosch Research Japan.

In my group, we work on energy infrastructure focusing electrochemical systems. My tasks include the multiphysical simulation of solid oxide fuel cell systems. We also develop models for determining the lifetime of the systems and to evaluate optimal operation within the specifications to achieve high electrical efficiency.

The topic of energy efficiency in buildings is where my passion lies. After studying mechanical engineering, I initially took up a position at Transsolar developing energy concepts for large commercial buildings. Since 2007, I’ve been working in research at Bosch. One of the focal points of my work is the simulation and model-based optimization of energy systems in buildings. On top of that, since 2017 I have been head of the working group BIM@Bosch, whose goal is to prepare Bosch for digitization in building technology.

I am the team leader and senior research scientist at Bosch Research in Shanghai and in the field of IoT @ Life, e.g. consumer IoT solutions. Before joining Bosch, I was an Assistant Professor at Shanghai Jiao Tong University focusing on medical robotics and sensor systems. I received my PhD from King's College London and did a postdoc at the University of Southampton in the field of sensor systems and lab-on-chip. As an alumni of the Bosch Accelerator Program, I not only collaborate closely with Business Units for joint development, but also explore commercialization of IoT products and solutions with scalable, repeatable and profitable business models.