To prepare for future challenges in each and every area of our business, we rely on the outstanding expertise of our research staff. Here you can see a regularly changing selection of our top researchers. Learn more about them.
Dr. Kai Oliver Arras
Head of Robotics Program and Chief Expert Robotics
Dr. Kai Oliver Arras
In 2015, I started as head of the robotics research program and Chief Expert for robotics. Being on an academic career track, I was attracted to joining Bosch Research by the prospect of combining the advantages of academic and corporate research: I can conduct and publish basic research that extends the state of the art and, at the same time, have societal impact by transferring the results of my research into real products. Prior to joining Bosch, I was assistant professor at the University of Freiburg. I also served as PC member for conferences on robotics (RSS, ISER, ECMR), human-robot interaction (HRI, ICSR, HAI), artificial intelligence (ICAPS, AAAI SA, ECAI), and computer vision (CVPR, ICCV), was Associate Editor of IJSR, ICRA (4x), IROS (3x), and authored over 100 peer-reviewed publications in those areas. I co-organized several workshops and conferences in different roles, was a member of the HRI steering committee and coordinator of EU-FP7 project SPENCER.
I am a chemical engineer by training and have worked in multiple areas relating to energy conversion and storage. After my PhD on the topic of thin film photovoltaics, I started at Bosch Research on a project dealing with PEM electrolyzers and electrochemical compression. After a 2-year intermission working on solid state lithium polymer batteries, where I developed a new characterization technique, I returned to the PEM world with a focus on cause-effect relationships in the performance and degradation of fuel cell electrodes.
Senior expert in stationary electrochemical systems and their control
Dr. Maxime Carré
I completed a French / German mechanical engineering degree with specialism in control theory. This background offers me a broad technical and scientifical understanding, which is in my opinion really crucial when it comes to electrochemical systems. I have been developing a stationary fuel cell system for 12 years and more recently an electrolyzer system. As one of the research associates with the longest experience in this field, I like to describe myself as the “living encyclopedia” of stationary fuel cell systems. I am eager to continue this journey along the electrolyzer route.
Director Energy Technologies and Chief Expert Energy Storage Modeling
Jake Christensen, Ph.D.
I direct the Energy Technologies department at the Research and Technology Center in North America and am the Chief Battery Modeling Engineer. My team develops electrochemical devices for reliable, affordable electromobility and clean, efficient use of our natural resources. We elucidate complex phenomena through modeling and simulation from the atom to system scale, fundamental material property measurement, and operando characterization.
As a team leader for research topics in vehicle safety, together with our team I develop new concepts for the protection of vehicle occupants in new interiors, but also safety systems that become active in newly emerging accident scenarios. An important component is my scientific network, which allows me to further advance method development with scientific partners, e.g. human modeling, but also to tackle pre-competitive industry collaborations as in connection with the challenges of automated driving.
I am a Research Engineer in the “Dynamic Distributed Systems” group and in this role I work on designing solutions to enable applications to meet their quality of service requirements when deployed on computing platforms. My job is particularly interesting since it lies at the conjunction of different disciplines including Cyber Physical systems, High Performance Computing architectures and Real-time scheduling theory. The focus is on designing and evaluating innovative methods and mechanisms for resource management which are correct-by-construction, formally sound and help in efficiently utilizing the underlying platforms, while also adhering to the application specific constraints.
My name is Jochen Fassnacht, and I’ve been working as a development engineer for Robert Bosch GmbH since 2002. Right now, I am working as a senior expert on the development of new traction drive systems for electromobility. My area of responsibility includes developing new electric traction drive and control systems and integrating them into the vehicle, along with practically all of the aspects that this entails.
I work as a surface analytics scientist at Corporate Analytics. I offer analytical and problem solving services to all Bosch business units, revealing surface interactions on a nanometer scale – from the processing of technical surfaces to the precise tailoring of functional thin films.
As a material scientist, I have dedicated my own research to material development for renewable energy and mobility technologies like solar cells, batteries, and fuel cells.
Senior research scientist in Artificial Intelligence, audio analytics
Dr. Shabnam Ghaffarzadegan
My primary research interests include the areas of human-machine collaborations, relating to audio, language and cognitive processing. In my research, I leverage audio signal processing with domain-specific machine learning solutions. Specifically, I develop advanced audio scene classification and audio event detection solutions. The goal of my work is to equip machines with the knowledge and understanding of audio and speech from the environment similar to human. The result of my work is used to enhance machine intelligence and provide alternative human machine interaction.
Research engineer for fail-operational electric drive systems
Dr.-Ing. Kirill Gorelik
I joined Bosch as a hardware engineer in 2012, initially working on the design and validation of transmission control units for customer projects. After three years, I ventured back into the academic world and started my industrial doctorate at the University of Siegen and Bosch Research on the topic of energy management for automated driving. The focus of my research was on the control of fault-tolerant on-board energy networks and drive systems to improve energy efficiency and safety in automated driving. After successfully completing my doctorate, I continue to pursue these two core goals in my role as a research engineer, subproject leader and consortium leader of a publicly funded project at Bosch Research.
Research engineer, advanced technologies for chemical and biological systems
Dr. Christian Grumaz
Before I joined Bosch Research in 2019, I led the team of a next-generation sequencing unit that served joint research projects with university hospitals for biomarker discovery and the development of diagnostic assays. Now at Bosch, contributing as an expert for molecular diagnostics and sequencing in the Life Science team (CR/ATC4), we develop technologies for next-generation medical diagnostics, especially for point-of-care applications.
Prinicipal Scientist and Senior Manager Security and Privacy Research Group, Pittsburgh
Dr.-Ing. Jorge Guajardo Merchan
I am most excited about developing technologies that take advantage of ideas at the intersection of computer science, engineering, and physics and how principles from each of these domains interact to solve hard security problems. From a technology point of view, I am interested in novel constructions and applications of physical unclonable functions, developing optimized protocols for multi-party computation, implementing applied cryptographic schemes in constrained environments, and developing novel hardware architectures to improve the performance and overall security of systems.
5G/6G standardization expert at Bosch Research for advance engineering connected mobility
Dr. Khaled Shawky Hassan
Internet of things (IoT) and artificial intelligent connected innovation are my passion; placing Bosch’s connected systems research ideas in various connectivity standardization is my ultimate goal. I am a wireless communication and standardization research expert, playing a key role in wireless research, innovation, and idea creation for 5G communication standards and beyond. I joined Bosch in 2019 focusing on driving our research along with the wireless standardization evolution in 5G/6G and WiFi. My main research interest is reliable, low-latency, and safe communication for artificially intelligent connected mobility and industries. The main challenge that our research needs to resolve is to allow fully connected intelligent systems and devices with a reasonable cost of ownership, affordable operational complexity, and reduced power consumption/CO2 emission. Our pre-standardization research activities focus on creating innovative ideas and solid research foundation tackling the aforementioned challenges and impacting the 5G evolution. Furthermore, having Bosch’s artificial intelligent device-centric approach in mind allows us to optimize for artificial intelligence (AI) enabled connected systems, which is the gate for the revolutionary 6G communication.
I am a PhD student at the Bosch Computer Vision Lab, where my research is focused on camera calibration. Having studied physics with a focus on computational neuroscience, I then moved to the more applied field of computer vision. The goal of my research is to accurately model how cameras map the 3D world onto a 2D image. Such a model is needed in automated driving and robotics, where cameras are used to perceive the surroundings and to navigate safely.
Lead Research Scientist focused on the Integration of Knowledge Representation and Machine Learning
Cory Henson, Ph.D.
I am a lead research scientist at Bosch Research and Technology Center with a focus on applying knowledge representation and semantic technology to enable autonomous driving. I also hold an Adjunct Faculty position at Wright State University. Prior to joining Bosch, I earned a PhD in Computer Science from WSU, where I worked at the Kno.e.sis Center applying semantic technologies to represent and manage sensor data on the Web.
After studying and gaining some research experience in computer science and cognitive science, I started at Bosch in 2016 as a PhD student. In my dissertation, I investigated methods to improve sample efficiency, i.e. how to speed up learning, for self-learning robots in contact-rich manipulation tasks in production settings.
In 2019 I took a position as research engineer with Bosch Research, so ever since I get to investigate pragmatic ways how to apply and enhance state-of-the-art machine learning methods on data from and for Bosch production - for self-learning robots and beyond.
Since 2022, I lead an activity for AI toolbox development in production systems and push our algorithms to a wide range of applications.
Senior Manager for Electrochemistry and Materials, Synthesis and Characterization, and Senior Expert for Fuel Cell Electrochemistry
Christina Johnston, Ph.D
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.
I am a principal senior expert in computer vision at the Research and Technology Center in India. My research is motivated by the desire to organize and manage large scale video and multi-sensor data (Peta Bytes) with the goals of being able to smartly curate the right data desired by algorithm development. This includes automated approaches to select the most representative sub set of a large set of images, and search and retrieve scenes of interest from the stored images. Our research has multiple goals such as reducing the cost of ground truth generation by removing redundancies, supporting function development and testing to find difficult cases where algorithms do not work well, which can then be used to collect more of such cases or synthetically generate them. In order to achieve this we explore the structure and representation power of deep convolutional neural networks. We develop human computer interfaces that go hand in hand with the deep learning approaches to ensure ease of usage by the end users.
Modeling, simulation and design of electric drives for Bosch's future electric mobility solutions
Dr.-Ing. Marina Keller
I've been with Bosch in the Electric Drives and Electric Machines group since 2017. I am involved in the simulation and design of electrical powertrains. This includes traction motors for electric cars, but also steering drives, e-bike motors and electrified braking systems.
The current focus of my work is on the modeling and evaluation of electrical insulation systems in traction machines in the environment of increasing battery voltages and their supply with fast-switching power electronics.
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.
Senior expert in AI methods for semantic digital twins and knowledge graphs
Making manufacturing smarter with the help of AI, digital twins, and semantic technologies is my passion.
I have been with Bosch since 2018. My work aims at developing AI methods that combine -- via symbolic reasoning and machine learning -- manufacturing knowledge captured as semantic conceptual models, digital twins, and knowledge graphs with production data. Such methods allow us to enhance and democratize industrial data analytics and analyses as well as develop industrial AI solutions, for example, semantically-enhanced machine learning pipelines for monitoring discrete manufacturing operations. I aim for solutions that are based on solid theory and have high impact in Industry 4.0. I am active in international scientific and engineering communities. For example, I have more than 130 scientific publications and several of them were awarded with or nominated for the best paper award at top-tier venues. In 2021 I was ranked Nr 18 among ""AI 2000 Knowledge Engineering Most Influential Scholars"" according to AMiner. Moreover, I participate in publicly funded projects with multiple academic and industrial partners and currently I am running three projects like this at Bosch.
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.
Principal Scientist, Computational Materials Design
Prof. Boris Kozinsky
I established and led the direction on atomistic computational materials design at Bosch Research in North America. Our team uses algorithms, based on quantum physics, and high-performance computers to understand and design materials for next-generation alloys, batteries, semiconductors, coatings, sensors, and other technologies. In 2018 I started a new research group at Harvard University, focused on combining physics and machine learning models to describe transport properties and time evolution of complex materials. In this dual role, I work to bring together the talented researchers from the Bosch and Harvard teams and form close collaborations, creating new cutting edge methods to reveal the atomic details of how materials work and change.
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.
Research Fellow Microsystems Technologies, Microfluidics and Molecular Diagnostics
Dr. Franz Lärmer
In 1990, I started as a physicist in microsystems technologies at Bosch Research. After more than 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 chief expert, identifying and developing new applications for our Lab-on-Chip platform "Vivalytic", together with our business unit Bosch Healthcare Solutions.
Director "Intelligent and Connected Sensors and Systems"
Dr.-Ing. Christoph Lang
I am Director of the Department "Intelligent and Connected Sensors and Systems" at our Research and Technology Center in Silicon Valley. My teams and I develop solutions in the field of sensors including integrated circuits, wireless connectivity, microsystems and medical diagnostics. I have worked in positions as researcher and development engineer at the University of Kaiserslautern, for Bosch in Reutlingen, for the start-up SiTime and for Bosch in Silicon Valley.
Senior Expert and Team Leader Bosch Accident Research
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 am a senior expert for power electronics at Bosch Research and Technology Center in China. My research focuses on power conversion technology in different application fields, especially in electrified mobility. In the past three years, my team and I have mainly worked on key electronic components in the fuel cell electric vehicle, such as the motor controller for 120,000 RPM high speed electric air compressor system and the high voltage high power DC/DC converter.
Project Leader for Automated Driving Systems for Dense Real-World Traffic on Highways, Inter-Urban and Inner-City Roads
Dr.-Ing. Thomas Michalke
As a systems engineer, I have been working on the challenging task of automated driving for 15 years. During the course of my PhD with the Honda Research Institute in Offenbach, I researched the roots of human intelligence and the plasticity of the human brain together with an interdisciplinary team. One of the tangible applications of my work on a system that works in a “brain-like” or “human-like” manner was the creation of an “attentive co-pilot” which supports humans in the task of driving. As a trainee at Daimler AG with a focus on R&D for automated driving, I became closely acquainted with the perspective of a vehicle manufacturer, for which the challenging task lies in the robust integration of numerous hardware and software modules into the complete vehicle system. Differences in the corporate culture which were crucial to me and the strong focus on algorithms by a leading supplier led me to Bosch and into research. Thanks to significant progress in the field of machine learning, I can connect with the conceptual world of my PhD here and, in the process, provide support for guiding our mobility into the future with “technology for life.”
Project Director Information & Communication Technologies, Senior Expert for Automotive Software Architectures
Dr.-Ing. Philipp Mundhenk
Throughout my career, I have focused on different aspects of cyber-physical systems (CPS). From software development, communications and security, to abstractions & modeling. At Bosch Research, I head the Information & Communication Technologies area. By combining modern software and communication technologies with CPS, we open up a new world of possibilities for embedded applications, making them portable, flexible, and high-performing.
Research Scientist in Perception for Automated Driving, Guest Professor at the Free University of Georgia
Dr. Koba Natroshvili
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 the anticipatory driving 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 2015. I give lectures in Computer Vision and Machine Learning.
I am very proud of the fact that in 6 years I have introduced the fascinating subject of machine learning to more than 600 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 ~65 patents
Senior Research Scientist in the areas of Applied Ontology, Knowledge Representation and Reasoning, Cognitive Systems
Alessandro Oltramari, Ph.D.
I work in the area of Intelligent Assistance, with a focus on decision support systems that combine machine perception and reasoning. My primary interest is to investigate how semantic resources, either structured or unstructured, can be integrated with data-driven algorithms, and help machines make sense of the physical and digital worlds. I strive to make progress in the area of Human Machine Collaboration, which can benefit greatly from designing AI-based systems that infuse powerful neural models with transparent knowledge representations.
VP and Chief Scientist of Integrated Human-Machine Intelligence
Liu Ren, Ph.D.
I am the Vice President and Chief Scientist of Integrated Human- Machine Intelligence (HMI) at Bosch Research in North America. I am responsible for shaping strategic directions and developing cutting-edge technologies in AI focusing big data visual analytics, explainable AI, mixed reality/AR, computer perception, NLP, conversational AI, audio analytics, wearable analytics and so on for AIoT application areas such as autonomous driving, car infotainment and advanced driver assistance systems (ADAS), Industry 4.0, smart home/building solutions, and robotics, etc. As the responsible global head, I oversee these research activities for teams in the Silicon Valley (U.S.), Pittsburgh (U.S.), and Renningen (Germany). I have won the Bosch North America Inventor of the Year Award for 3D maps (2016), Best Paper Award (2018, 2020), and Honorable Mention Award (2016) for big data visual analytics in IEEE Visualization.
Senior research scientist in deep probabilistic modeling
Engineering devices typically rely on sensors to measure necessary inputs. Machine-learning methods trained on sensor data can increase the utility of such devices by improving their efficiency or enabling exciting new features. However, modeling sensor data presents a number of challenges: real-world data often exhibits multimodal dynamics; some sensors are usually sampled at irregular time intervals; and most industrial datasets are unlabeled. Learning from sensor data requires methods that are flexible enough to capture the underlying complexity while handling various types of noise and uncertainty. For this reason, the main technical theme in my research is how to best combine deep learning with probabilistic modeling.
After completing my degree in physics, I worked for eight years in the field of climate and polar research, where I obtained valuable knowledge about the climate system and climate change. I then transferred to Bosch, where I first served in the Automotive Electronics Business Unit in Reutlingen (Germany) and Plymouth (USA) – first as project and later as group manager in series development of electronic control units for products such as ABS and ESP. In 2015, I transferred to Bosch Research as an expert for climate change and the energy transition. In this role I consult in strategic issues across all levels, from research projects to the CEO and Supervisory Board. Additionally, since 2020 I have been the co-chair of our Strategic Research Portfolio for Sustainability.
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 Senior Expert with a broad background from mechanical engineering to medical diagnostics. Currently, I am a Senior Expert 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.
Senior expert for microstructural modeling (metals)
Dr. Petra Sonnweber-Ribic
I’ve been focusing on the topic of computational material science as a research engineer since 2011. Right now, I am working as a senior expert on micromechanical fatigue simulation in metals. Together with a team, I am developing models of relevant factors influencing cyclic mechanical damage in materials and components. This allows us to make material lifetime predictions or identify micromechanical factors that are responsible for material damage. In this way, we are contributing to the reliability and sustainability of our products.
Senior Research Scientist for Quantum Technologies
Dr. Thomas Strohm
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.
Senior expert in sustainable HVAC system design and control method innovation
Baris B. Tanyildiz
Research on HVAC, IAQ & heat pump systems have been my passion for the last 15 years. I have been working on sustainable HVAC systems, model-based design and controls development for Bosch Research since 2018.
Me and my team deal with HVAC efficiency & thermal comfort, indoor air quality, filtration and sensing challenges for commercial buildings and 3rd living spaces. As Bosch has carbon neutrality targets, we are supporting this vision with our advanced energy management functions that are enriched with AIoT enablers. We use model-based engineering, machine learning models and human perception techniques to optimize and control HVAC demand for higher sustainability.
Research scientist for fuel cell and hydrogen system
I am a research scientist at Bosch Research and Technology Center in China, and joined Bosch in 2019. Before joining Bosch, I gained 16 years of R&D working experience on internal-combustion engines (ICEs) and fuel cell systems in FAW (First Automobile Workshop). As a team leader for research on fuel cell and hydrogen systems, I am currently working together with our team and cooperating closely with local BU on fuel cell system adaption to local market needs, focusing on deriving innovative concepts and bringing "WoW" ideas to keep the Bosch fuel cell system and BoPs competitive on the market.
Research engineer fuel cell design and stack development
Xu Zhang, Ph.D.
I am a research engineer at Bosch Research and Technology Center in China. My studies focus on the design and characterization of membrane electrode assembly for PEMFC fuel cells. I am also working on the modeling of coupling heat, species, and charge transfer processes inside the fuel cell. The knowledge obtained from combined experiment and modeling study is useful to develop a high-performance and durable fuel cell stack and system for vehicles.
Senior Expert for MEMS Sensor Fabrication Processes
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.
Throughout my career, I have been researching and developing artificial perception to improve the mobility of humans and machines. As team leader in Intelligent Connected Vehicle (ICV) at Bosch Research Shanghai, our team and I jointly develop solutions for intelligent perception and autonomous navigation in ADAS, and robotics for I4.0. We use cross-domain sensor fusion and machine learning to build rich models of the world guiding autonomous vehicles’ decisions. I believe that by pooling information from diverse sources via wireless communication technology, we should give ourselves and our machines the ability to extend our “vision” to make better choices - be it at home, in factories, or on the road.