Get to know our researchers

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.

I am Vice President for Strategies and Technologies of Modeling and Simulation, and 25% W3 professor with TU Darmstadt. Modeling and simulation link the physical world to the cyber world. They are essential for product design in the era of digital transformation. My favorite questions are: What topics and skills are important in this area in 2025, and beyond? How can we implement methodological work results effectively and sustainably in our business units? And: I am scouting worldwide for relevant applied mathematics.

In 1990, I started as a physicist in microsystems technologies at Bosch Corporate Research. After 10 years of successful work on new MEMS sensors for automotive and consumer electronics, I stepped into the development of microfluidics solutions for molecular diagnostics in healthcare. Currently I am a research fellow/senior vice president chief expert, identifying and developing new applications for our Lab-on-Chip platform, together with our business unit BHCS.

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.

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 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.

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.

As a manager and a researcher in the field of catalysis, I have expertise in methane reforming, diesel exhaust after-treatment, and fuel cell systems. Past experiences include work at Toyota and also at a subsidiary of former Degussa, along with a teaching position at the International Christian University. Presently leading an international team for fuel cell technology development and proliferation.

In 2012, I started working in the control engineering research group @ Robert Bosch GmbH. I focus on model- based, adaptive and learning control methods ready for implementation on electronic control units. My colleagues and I already improved performance and calibration efficiency on real-world hydraulic, thermodynamic, and energy-generating systems. I am glad for being part of Bosch, as Bosch allows me not only to do cutting-edge research but also to combine work and family life.

I am the Global Head and Chief Scientist of HMI at Bosch Research in Silicon Valley and responsible for shaping strategic direction and developing cutting-edge HMI technologies such as AR, visual analytics, NLP, conversational AI, and human factors. I further oversee HMI research activities of teams in the USA, Germany, and China and have won the Bosch North America Inventor of the Year Award for 3D maps (2016), Best Paper Award (2018), and Honorable Mention Award (2016) for big data visual analytics in IEEE Visualization.

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.

I am a materials scientist by training and joined Bosch in 2005 to work first on ceramics design. Then, as a process engineer in Tilburg (NL), I developed manufacturing processes in cross-functional teams. Since 2015, I have worked as a senior manager in the field of energy storage and converters. Here, the challenge is all about linking the performance and reliability of electrochemically active components to microstructural design and processing.

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.

In our group, we develop components and simulation methods in the field of fluid dynamics. We devise experimental analyses and use various simulation tools to investigate fluid-dynamic phenomena. I am “at home” in both domains.

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.

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.

Engineer for development of new sensor fabrication processes to be used in next-generation products. I review new materials and processes and, depending on how promising they look, integrate them into prototypes for enhancement of sensor functionality. Using the cleanroom Stanford University wafer fabrication facility, parts are fabricated for proof of concept. If successful and there is market demand, they are transferred for mass production. Some of these parts are now commercialized for use in timing references by the spin-off company, SiTime.

My name is Dirk Ziegenbein, and I am Chief Expert for Engineering Open Context Systems, a term coined at Bosch for systems which need to adapt to evolving and partially unknown operating conditions. In addition, I lead a group of 20 experts researching software systems engineering methods for cyber-physical systems in automotive, robotics, and IoT.