The working group, of which Professor Adelhelm is head of, is engaged with the field of applied materials research. Where the main research focus lies on materials, which are suited for power storage in batteries. Therefore especially lithium-ion- and sodium-ion batteries, as well as alternative cell designs (metal-, sulphur- and all-solit-batteries) are being explored. However, the working groups goal has always been explorative research and the complete clarification of physico-chemical correlations.
- material synthesis: ball mills, wet chemistry laboratory, stoves, calcination (grams scale)
- techniques of characterization: Powder X-Ray Diffraction (P-XRD), Scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDS), Raman Spectroscopy, Infrared Spectroscopy
- Electrochemistry: multiple glove-boxes (Ar, N2), preparation of battery cells, battery test station (cycling of a battery), Potentiostat/Galvanostat with 2 and 3 electrode arrangement, Electrochemical Impedance Spectroscopy, (in situ/operando) special analyses like Dilatometer, or Mass Spectrometry during cell performance
- various joint projects with the Federal Ministry of Education and Research (BMBF)
- direct cooperations with companies (measurement orders)
Prof. Dr. Alan Akbik conducts research in the field of machine learning (ML) and natural language processing (NLP). His goal is to enable machines to capture, understand, and use natural language like a human.
To this end, he has developed one of the world's leading deep learning frameworks for NLP, which is already being used in over 1,000 research and industrial projects.
- Deep Learning
- Natural Language Processing (NLP)
- Machine Learning (ML)
- 3 Patents at IBM Research
- Zalando Outstanding Achievement Award
zebris Medical GmbH, myon AG, Simi Reality Motion Systems GmbH
Prof. Arampatzis and his Department of Training and Movement Sciences are dealing with the interaction of the neural and musculoskeletal system in research and teaching. Of special interest for Prof. Arampatzis is the adaptation of the neural and musculoskeletal system by mechanical stress and its influence on human performance as well as motor control and motion security. Through an integrative approach of biomechanics, physiology and neuroscience, consequences for athletes and for people with degenerative changes of the neural and musculosceletal systems will be deduced. The main research focus of the department is on quantifying and changing the neuro-biomechanical potential of humans and on the investigation of its influence on the mobility in everyday life and sports. Considering this, the department also investigates the role of sports activities in order to prevent accidents and to preserve the quality of life for the elderly and people with chronic diseases.
The departments offers three large laboratories with modern sports science equipment:
- Motion Analysis Laboratory with a VICON system including twelve cameras and three AMTI force plates. Both the foundations of the force platforms as well as the camera mounts are decoupled from the sports ground of the laboratory to prevent the transmission of vibrations.
- Force Diagnostic Laboratory with DAVID and Technogym strength diagnostics equipment for all major muscle groups
- EMG laboratory with a Biodex System-3 and an Esaote ultrasound machine, which is used to study the muscle-tendon plasticity. To control the joint angle at the Biodex camera, mounts are available for installing eight VICON cameras. A large LCD-Screen provides the possibility for biofeedback. All labs are air-conditioned and are equipped with an uninterruptible power supply and complete darkening.
- zebris Medical GmbH: evaluation of pressure distribution measurements in treadmills
- myon AG: evaluation of a wireless electromyography system aiming to quantify muscle activation
- Simi Reality Motion Systems GmbH: evaluation of a 3D motion capture system designed to analyse complex human movements
Professor Bojdys research focuses on the design of covalent organic polymers with applications as organic transistor devices and on light-reactive polymers (e.g., Nat. Commun. 2019. DOI: 10.1038/s41467-019-11264-z). He and his team cooperate with established battery and coating companies and with a Berlin SME.
Recently, Professor Bojdys and his team successfully licensed their patent for high capacitance anodes (WO2020DE100294, DE102019110450), built from their materials. They aim to further develop their technology with industrial partners within the newly established European Innovation Council (EIC).
Since 2018, Professor Bojdys has been a member of the "Young Scientists" at the World Economic Forum (WEF) and further serves on their advisory board since 2019.
- Gas sorption analysis: Quantachrome Instruments Autosorb IQ (probegases: N2, Ar).
- Robotic synthesis & formulation: ChemSpeed ASW 2000
- X-ray diffractometers (Cu and Mo radiation, transmittance, Bragg-Brentano and reflectonomy configuration).
- WO/2020/216408 - RECHARGEABLE LITHIUM-ION BATTERY ANODE, AND METHOD FOR PRODUCING A RECHARGEABLE LITHIUM-ION BATTERY ANODE
- WO/2016/027042 - TWO-DIMENSIONAL CARBON NITRIDE MATERIAL AND METHOD OF PREPARATION
- ERC Proof of Concept Grant (Ultra-high energy storage Li-anode materials - LiAnMAT)
- ERC Starting Grant (Beyond Graphene Materials - BEGMAT)
Professor Danilov is engaged in empirical human resource management research, as well as the identification of causal relationships of the effect of human resource management tools on employee motivation and productivity. She also conducts research in organizational and human resource economics, in the field of empirical human resource management (HRM), and in the course of this she works with Big Data and People Analytics using machine learning.
- randomized studies (A/B tests) on incentive setting
- work design and employee motivation
- analysis of data (accounting, personnel, etc.)
- "Delegation of decision making and productivity and employee satisfaction" at a world-leading energy company.
Prof. Dobbek analyses the biochemical principles of bacterial growth on substrates, i.e. carbon dioxide, carbon monoxide as well as aromatic compounds, which also are pollutants. The main focus lies on the functional and structural investigation of metalliferous enzymes that transform unreactive molecules in oxygen free conditions and thus enable bacteria to grow in a seemingly hostile environment. Developing new (biological) catalysts capable of energy-efficiently transforming carbon dioxide and monoxide is Prof. Dobbek’s goal. Moreover these catalysts are designed to generate new enzymes for the biological decomposition of substances damaging to humans and the environment.
- production of proteins under aerobic and anaerobic conditions (FPLC and HPLC procedures)
- robotic protein crystallization under standard conditions and in oxygen free conditions (glovebox technique)
- crystallographic structural analysis of proteins
- general methods in the field of structural bioinformatics
- methods to examine enzymatic processes, e.g. fast mixing methods (stopped-flow spectroscopy under aerobic and anaerobic conditions), analyses using HPLC, GC-MS, UV/Vis- and fluorescence spectroscopy, isothermal titration calorimetry under aerobic conditions
The chair of Visual Computing develops new methods for the analysis and synthesis of image and video data. This includes algorithms for estimating shape, material, motion and deformation from monocular and multi-view camera systems. Both in national and international collaborations, those algorithms are exploited in applications like multimedia, VR/AR, industry, medicine, and security.
- Various cameras
- Multispectral sensors, 3D sensors
- Lighting and calibration systems
- Development of new methods for automatic inspection and damage classification of sewer networks with a water supply company
- Development of augmented reality systems for automobile production processes with a car manufacturer
- Analysis of multispectral imaging for tissue classification in collaboration with medical technology manufacturer
Prof. Freytag holds the chair of Databases and Information Systems (DBIS). His research interests include all aspects of processing and query optimisation in (object-)relational database systems, developments related to databases (such as semi-structured or graph based data), data quality, big data analyses as well as privacy support in database and information systems. Furthermore, Prof. Freytag is involved in many cooperations using database technology for applications such as geoinformation systems (GIS), bioinformatics, physics and life sciences. In the past, he received the IBM Faculty Award four times for collaborative work concerning databases, middleware, and bioinformatics/life sciences. In 2009 and 2010, Prof. Freytag won the HP Labs Innovation Research Award for his research in the field of databases and cloud computing. He was one of the organisers of the VLDB (Very Large Data Bases) conference in Berlin in 2003, the most important international database conference. From 2001 to 2007, he was a member of the VLDB foundation (VLDB Endowment Inc.). Since 2009, Prof. Freytag has been the spokesperson of the department DBIS of the German Informatics Society (GI).
- Large IBM Server Linux/AIX with DBMS IBM DB2
- Computer cluster with 128 cores
- 30TB storage capacity
- Renowned American IT/DBMS manufacturer: improving existing database management systems (DBMSs) in the area of query optimisation; extending existing ETL tools
- Renowned American IT/DBMS manufacturer: extending DBMS functionality; designing and prototyping performance improvements in query processing; suggestions for future extension of the DBMS products
- Well known German software manufacturer: continuous consulting in the area of database systems, spe-cifically, query processing over several years to improve performance and functionality
- Well known German company: design and implementation of a query processing optimiser for the Lighweight Directory Access Protocol (LDAP) product of this company
- Consulting for various SMEs in Germany in the area of data modeling and process modeling using a state-of-the-art DBMS technology; using DBMS technology within their own products; strategic consulting for a long term use of DBMS technology
Research at the chair of Wireless Broadband Communication systems within the computer engineering group focuses on communication systems for ultra-high data rates. Professor Eckhard Grass and his research group develop and investigate systems operating at ultra-high frequencies and research techniques and methods to improve the efficiency and reliability of wireless communication. The main reserach and developement focus is physical layers (PHY) and MAC layers.
- Complete toolchain for modelling, simulation, design and test of communication systems
- Software Defined Radio (SDR) modules
- Various FPGA platforms and toolchains for FPGA design
- Modules for mm-wave communications
- Measurement equipment such as oscillosocopes, spectrum analyzers, arbitrary waveform generators
- Development of a system for high-speed wireless communication with simultaneous distance measurement for a renowned automotive supplier
- mm-wave communication system with integrated positioning of mobile nodes for augmented reality applications for German industrial equipment supplier
- Joint development of a system for secure wireless communication for industry 4.0 together German industry partners
- mm-wave connections for 5G transport networks with European industry partners
The research of Prof. Greifeneder and her team at the Chair of Information Behavior focuses on user research. She is particularly concerned with people’s search and user behavior when dealing with information or metadata both while using a traditional library as well as in fields such as digital libraries or research data. Key aspects of her work include the use of online survey methods and natural habitat research as well as securing the validity of data in a laboratory setting and in natural environments. Additionally, users’ private information sharing behavior and context research are central issues in Prof. Greifeneder’s research.
Prof. Greifeneder and her team employ qualitative and quantitative research methods of information science with a focus on user research. This includes survey design and implementation, both online and in the form of natural habitat research, interviews, case studies, experiments, scientific observation, focus groups and eyetracking. The Chair of Information Behavior boasts a modern research laboratory, the iLab:
- The iLab consists of two functionally differentiated rooms, connected with a door made of spyglass, that contain mobile desks (height can be adjusted electronically), swivel chairs, mobile partition walls, magnetic glass boards and a facilitator’s toolbox
- Technical equipment: beamer, cameras, microphones, mobile sound recorders, tablets, notebooks, smart watches and eye-trackers
Prof. Grimm and his team mainly investigate the metabolic control of tetrapyrrole biosynthesis and photosynthesis. They also do research on the regulation of sucrose transport in plants. The plant science team is interested in studying the unique properties and functions of plant cells, such as intracellular communication between the nucleus and the two main plant organelles, plastids and mitochondria. Prof. Grimm’s group applies several experimental methods and techniques from the areas of biochemistry, genetics, molecular and cell biology in their research and in the training programs for students and young academics.
The Plant Physiology group provides all necessary equipment and instrumentation for plant growth and molecular genetics, biochemical and physiological work:
- S1 greenhouse
- growth cabinets for Arabidopsis
- radionuclide laboratory
- HPLC equipped with diode array and fluorescence detector
- fluorescence spectrometer
- microtiter plate reader (w/ fluorescence detection)
- UV/Vis photometer • PAM-2000 fluorometer
- LI-COR photosynthesis device
- fluorescence microscope
- ultracentrifuges and high speed centrifuges including rotors
- clean benches
- incubators for growth of genetically modified bacteria and yeast
- several PCR machines, e.g. microplate readers and PCR light cycler
- confocal laser scanning microscope (CLSM)
- Oil mills: pigments in rapeseed oil
- Food-producing corporation: postharvesting treatment and storage of leafy greens
- Pharmaceutical group: vitamin synthesis and content in plants
At the Chair of Software Engineering, Prof. Grunske and his team specialise in methods of software technology relevant to the field of automated development and quality control of software systems. His work also involves probabilistic techniques on the basis of which the probable and less probable behaviour of a program can be modelled. This allows for easier discovery and correction of software anomalies. Such statistic models are used in the monitoring and debugging of programs during runtime as well as in testing software, which supports the development of safe and reliable software systems. Furthermore, Prof. Grunske develops methods that enable a precise definition of the quality requirements of software systems, the formalisation of verification conditions as well as the (technical) safety in embedded systems and process and performance management.
- Software engineering
- Testing and verification
- Statistics/probabilistic methods
- Formalisation of application scenarios in cooperation with TWT GmbH: “Safe.Spec: Quality control of behaviour requirements”
- Using software systems to derive probabilistic models that can be used as specification during the software engineering process: „EMPRESS: Extracting and Mining of Probabilistic Event Structures from Software Systems”
- Development of evaluation methods for probabilistic models as well as machine learning based techniques for the transformation of models: “ENSURE-II: ENsurance of Software evolution by Run-time cErtification”
Prof. Haerdle’s main research interests are quantitative finance, esp. multivariate methods in banking and finance, dimension reduction techniques, and computational statistics. In his roles both as coordinator of the Collaborative Research Center “Economic Risk” (CRC 649) and director of the interdisciplinary Center for Applied Statistics and Economics (C.A.S.E.) he primarily investigates economic risks on a global scale. Prof. Haerdle’s research aims at facilitating the evaluation of such risks and to reduce uncertainty to improve economic actors’ decision-making.
Prof. Haerdle is Distinguished Visiting Professor Wang Yanan Institute for Studies in Economics (WISE) at Xiamen University, China, as well as director of the International Research Training Group “High Dimensional Non Stationary Time Series” (ITRG 1792). Among other distinctions he received the “Econometric Theory Multa Scripsit Award” in 2012.
- multivariate statistical analysis (factor analysis, cluster Analysis, etc.)
- portfolio optimisation
- risk management
- pricing derivatives
- functional data analysis
- non- and semi-parametric methods
- data visualisation
- Ongoing cooperation with and lecturing for leading international financial institutions
- Center for Applied Statistics and Economics (C.A.S.E.): interdisciplinary research centre with the goal to analyze and solve current complex economic problems and those arising in related fields with the help of quantitative methods and computing. Its research subjects range from weather risk, aging societies, crime to property markets
- Collaborative Research Center “Economic Risk” (CRC 649): center of transdisciplinary research where insights from economics, mathematics and statistics converge to analyze economic risks and risk factors. The CRC offers an international platform for discussion of the latest research results and collaborations
Professor Hafner‘s research in Adaptive Systems is concerned with extracting principles of intelligence from biological systems and transferring them to artificial systems. We focus on the transfer of cognitive skills to autonomous robots. The challenge not only lies in building intelligent autonomous robots, but also in gaining insights into biological systems through robot experiments. Our main research themes are sensorimotor learning, internal models for prediction, attentional processes, and spatial cognition. The methodological approaches cover evolutionary algorithms, neural learning, and information theory. We use various types of mobile robots as research platforms, e.g. humanoid, mobile, flying and underwater robots, as well as software simulations. Professor Hafner is IEEE Senior Member and Principal Investigator in several projects funded by the EU.
- Local company for automation and robotics: Student semester project for the development of a collaborative fleet management system for autonomous transport robots.
ARGE Ansiedlungsmanagement Friedrichshain-Kreuzberg (c/o Friedrichshain-Kreuzberger Unternehmerverein e.V.), Wüstenrot Foundation, Senator of Economic Affairs, Labour and Ports, Bremen, Bayerische Motorenwerke AG (BMW)
Prof. Helbrecht focusses her research on the cultural, social and spatial development of cities. She investigates urban branding, city image and identity as well as the marketing thereof. Neighbourhood and urban development policies, urban governance, housing markets and demographic change are also topics of her research. Furthermore, Prof. Helbrecht conducts analyses of social space and studies concerning the public sphere and space. As the director of the Georg-Simmel-Centre for Metropolitan Studies (Georg-Simmel-Zentrums für Metropolenforschung / GSZ), platform for interdisciplinary urban research, and as a member of the Integrative Research Institute on Transformations of Human-Environment Systems (IRI THESys) Prof. Helbrecht is well connected in her field of expertise and prepared for interdisciplinary research projects.
- ARGE Ansiedlungsmanagement Friedrichshain-Kreuzberg (c/o Friedrichshain-Kreuzberger Unternehmerverein e.V.): scientific accompanying research on conflicts concerning commercial asset management of the night-economy in Kreuzberg
- Wüstenrot Foundation: „Wohneigentum in Europa“ - Analysis of residential property in Europe and of the factors influencing home ownership quotas in cooperation with the ifo Institute (Leibniz Institute for Economic Research at the University of Munich)
- Senator of Economic Affairs, Labour and Ports, Bremen: „Engpassfaktor Humankapital: Strategien der Bremer Wirtschaftsförderung zur Attraktion von Hochqualifizierten als Standortvoraussetzung der High-Tech-Industrie“ - Analysis of factors influencing (re-)location decisions of highly qualified professionals in a specific region for high-tech industry
- Bayerische Motorenwerke AG (BMW): „Der Kunstpark Ost: Wirtschaftliche und kulturelle Bedeutung für München“
- Georg-Simmel-Centre for Metropolitan Studies (Georg-Simmel-Zentrum für Metropolenforschung / GSZ): interdisciplinary platform for collaborative research for metropolitan studies. Its goal is to contribute fundamentally to future urban development, regionally and internationally. Main topics of this interdisciplinary approach are: urban change, the cultural base of and social momentum in cities, sustainable urban development, and internationalisation of urban studies
- IRI THESys - Integrative Research Institute on Transformations of Human-Environment Systems: the institute’s purpose is the interdisciplinary transformation research focusing on land use and use of resources, processes of urbanization in the 21st century, effects of climate change, as well as intra- and inter-generational environmental justice
Professor Hillman's research focuses on the influence of husbandry conditions and management practices on the welfare of farm animals. Her research in the area of animal welfare ranges from the validation of animal welfare indicators, including animal health, to the practical implementation of animal welfare measures.
Hillmann and her team concentrate on animal behavior. In addition, they use information on animal health, such as (stress)-physiological variables and economically relevant characteristics (e.g., meat quality).
Ethical and legal considerations also play a role in her research. However, practical problems in animal husbandry are in the foreground. Besides classical behavioral observations, often with the help of video recordings, stress-physiological, clinical and cognitive parameters are added, but also techniques for automated recording of animal behavior.
Many problems in animal husbandry are related to a disturbance in behavioral control. Professor Hillmann's basic research in behavioral control thus also leads to solutions of practically relevant behavioral problems in farm, pet, laboratory, and zoo animals. Such solutions work at the roots of the problems because they are based on causal understanding of the underlying control mechanism.
In both application and basic questions, the measurement and consideration of the animals emotion plays a critical role as a component in the control of behavior, as well as in relation to their welfare.
Her research thus moves in the area of tension between scientific/clinical basic research, application and questions from the fields of agricultural economics and social sciences.
- Equipment for behavioral observation (video/3D acceleration)
NaTiMon (BMEL): Development of basic principles for regular, indicator-based monitoring and reporting on the status of animal welfare of sheep and goats in Germany, as well as its change over time. This animal welfare monitoring is intended to take into account the various dimensions of animal welfare at the relevant stages of the animals' lives (husbandry, slaughter, transport)
PanSens ( Agricultural Pension Bank): The object of the sub-project is the application of the reference system for standing and lying times, the basic validation of the parameters movement activity and standing and lying times, and the scientific monitoring of the development work and the iteration for the detection of specific cow diseases. Practice partner: dropnostix GmbH
- Education and training for animal experimenters (selective)
Prof. Hoppe’s research is focused on Occupational Health Psychology (OHP) especially on the analysis of work activities to maintain employee health and performance as well as to provide learning and development opportunities. OHP integrates occupational and health psychology with occupational medicine and traditional labor safety, which is insufficient for today’s flexible employment situation. Prof. Hoppe also examines the psychosocial characteristics of a specific workplace, e.g. work requirements or the level of influence on and control over tasks as well as the social working environment. She also studies the effects of these characteristics on employee health and his/her well-being. She investigates how psychosocial work characteristics influence an employee’s motivating factors like job satisfaction and commitment. Particular attention is paid to the situation of migrant and low-skilled workers and the analysis of the impact their workplaces and work environments may have on their health and well-being. Moreover, Prof. Hoppe studies multi-ethnic and -lingual workforces and the effects of diversity on employee health.
- risk assessment methods for workplace conditions
- employee surveys regarding the promotion of health at workplace
- postal operators, logistics companies, professional care providers, manufacturing companies: execution of employee surveys to gather data on psychosocial strain and resources in the workplace and to analyse effects of stress, job satisfaction and work performance
- public institutions (e.g. universities, federal ministries), consulting companies, self-employed persons: development of health-related interventions and training sessions via mobile devices (e.g. smartphones, tablets) to facilitate recovery strategies and self-management
alta4 Geoinformatics AG
Prof. Hostert’s explores cutting-edge satellite data analysis. His main focus lies on questions regarding the global change, particularly large-scale mapping in agrarian- and forestry systems and near-nature ecological systems worldwide. He analyses the change of the earth’s surface through different methods, for example with machine learning, big data, time series analyses, hyperspectral and multisensor approaches, as well as multiscale analyses. Regional expertise of the team covers Germany, the mediterranean areas and South America, as well as Central Asia.
- satellite data analysis
- AI in remote sensing
- large-scale remote sensing analysis with big data approaches (particularly Sentinel-2, Landsat), funded through projects of the BMWi, BMBF, BMEL, as well as the EU
- scientific monitoring of satellite missions (Landsat Science Team, EnMAP ScientificAdvisory Group)
- satellite based mapping and land use analysis for NGOs, authorities and global tech- and logistics companies
Professor Jäschke and his team develop and optimize methods in the areas of Big Data and Machine Learning, especially in the aplication fields of Natural Language Processing, Social Bookmarking and Recommendation Systems. This includes the Collection (e.g. through focussed Crawling), Compilation, Annotation (e.g. by means of Crowdsourcing) and Curation of suitable records (data sets).
Further, it includes the Adaptation and Improvement of appropriate Algorythms (e.g. Named Entity Recognition, Classification, Clustering, Information Extraction, etc.) culminating in the development of web-based analysis platforms.
- GPU calculator
- diverse datasets
Model-driven engineering raises the level of abstraction in software engineering by using models as primary development artifacts. In particular, domain-specific modelling languages can ease the transition between informally sketched requirements or designs and implementations by supporting high-level yet formal representations as a starting point for automation. Moreover, using a model-based development approach, critical system properties can be analyzed, validated and verified even before the system is actually built. Model-driven development thus leads to an increase in both productivity and quality. To some extent, model-driven engineering has made its way into industrial practice, most notably for the development of embedded systems in various domains. However, model-driven engineering does not suffice to successfully manage all challenges of modern software engineering, and actually creates new problems. Research conducted at the Chair of Model-driven Software Engineering is particularly driven by relevant challenges and problems arising from the adoption of the model-driven engineering paradigm in industrial practice.
- Experience in implementing model-based development engineering methods, techniques and processes
- Know-how regarding the set-up of model-based transformation chains (domain-specific modeling languages, model transformation and interpretation, code generation) and development environments (collaborative modeling, (co-)evolution of models, model repair and synchronization)
- Expertise in the field of version and variant management, especially customized configuration management and software product lines
- Collaboration with a Berlin-based software company on the development of innovative software architecture analysis techniques for the quality assurance of embedded systems
- Consulting for a major German automotive supplier with regard to fundamental questions of configuration management of models for the model-driven development of embedded systems
- Support of an international electrical engineering corporation with the model-based development of software components for a new generation of internet-based multimedia building communication systems