جستجوی استاد راهنمای دانشگاهی

Angela Rothمشاهده پروفایل

استاد

• Service Innovation
• Organizational Competencies in Service Innovation
• Service Systems in Digital Contexts
• +۳ مورد دیگر

Prof. Angela Roth is a Professor at the Friedrich-Alexander-University Erlangen-Nuremberg, leading the Chair of Information Systems I – Innovation and Value Creation. She co-chairs the department and directs the Open Service Lab (OSL). Her research focuses on service innovation, digital service systems, organizational competencies, and the future of work, with a strong emphasis on interactive value creation and living lab methodologies. She collaborates closely with industry partners and non-university research institutes, driving projects in servitization, service systems engineering, and workspace innovation. Prof. Roth previously led the Decision Support Systems department at Fraunhofer IIS-SCS and holds a habilitation and dissertation in logistics. Her teaching includes innovation strategies for digital transformation, service systems, and interactive service innovation. Her work explores stakeholder integration in service innovation, AI-driven service design, and workspace change dynamics. The Open Service Lab (OSL) serves as a platform for co-creation with customers and industry, exemplified by projects like JOSEPHS®. She also investigates the role of data in business model innovation and the societal implications of automation in service sectors.

Tobias Distlerمشاهده پروفایل

دانشیار

• Distributed Systems
• Byzantine Fault Tolerance
• Energy-efficient Computing
• +۷ مورد دیگر

Tobias Distler is an Associate Professor (Privatdozent) at the Department of Computer Science 4 (Distributed Systems and Operating Systems) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). He leads research in resource-efficient fault tolerance, energy-aware systems, and distributed coordination. His work focuses on Byzantine fault tolerance, cloud computing, real-time systems, and embedded systems resilience. Research Projects: REFIT (Resource-efficient Fault and Intrusion Tolerance) EDC (Efficient Distributed Coordination) E³ (Energy-aware Execution Environments) TClouds (Trustworthy Clouds) Research Interests: His expertise spans distributed systems, fault-tolerant replication, energy-efficient computing, real-time systems analysis, and secure cloud infrastructure. He emphasizes practical system design with rigorous theoretical foundations. Publications: Over 100 peer-reviewed papers in top venues like Middleware, EuroSys, DSN, and ECRTS. Notable contributions include Egalitarian BFT, Strome (energy-aware stream processing), and TinyBFT for embedded systems. Awards: SIGACT Research Highlights Nomination (2024) FAU Teaching Award for Junior Researchers (2021) IBM Ph.D. Fellowship (2012-2013) Professional Activities: Served on program committees for Middleware, EuroSys, DSN, and IEEE Transactions. Chair of Artifact Evaluation for Middleware '20. Founded the BCRB workshop on Byzantine consensus and blockchains. Education: Habilitation (2021) and Ph.D. (2014) from FAU, focusing on resource-aware system software for replicated services. Advisor to numerous graduate students in distributed systems research.

• Innovation Management
• Digital Transformation
• Decision-Making Biases
• +۵ مورد دیگر

Prof. David Antons is a Professor at the University of Bonn and holds an affiliated position at RWTH Aachen University's Institute for Technology and Innovation Management (TIM). He previously served as a former co-director of TIM and held visiting roles at the University of Cambridge and Melbourne University. His research focuses on innovation management, decision-making biases, and digital transformation, with notable work on hybrid intelligence and human-AI collaboration. Education: PhD in Technology and Innovation Management (RWTH Aachen, 2013), Habilitation in text mining for management research (RWTH Aachen). Research Interests include organizational climate, psychological factors in decision-making, and applications of natural language processing. His work bridges academia and industry, collaborating with sectors like healthcare, finance, and civil engineering. Awards include the RWTH Lecturer Award for distinguished teaching and research, multiple DAAD scholarships, and recognition for interdisciplinary work. His research has been shortlisted for prestigious awards like the 'Innovating Innovation' Award by HBR/McKinsey. Key contributions address organizational identity threats, agile vs. stage-gate development, and leveraging machine learning for service innovation. His studies on infection control in hospitals highlight impacts of organizational practices on MRSA rates.

Thomas Kirchartzمشاهده پروفایل

استاد

• Photovoltaics
• Solar Energy
• Device Physics
• +۷ مورد دیگر

Thomas Kirchartz is a Professor of Electrical Engineering and Information Technology at the University of Duisburg-Essen and holds a leading position at Forschungszentrum Jülich, where he serves as Deputy Director and heads the Department of Analytics and Simulation and the Organic and Hybrid Solar Cells group at the Institute of Energy Materials and Devices (IMD-3). His work bridges academia and large-scale research infrastructure within the Helmholtz Association, focusing on advanced photovoltaic technologies. His research interests lie in the fundamental understanding of photovoltaic devices, particularly organic and hybrid solar cells. He specializes in device characterization, simulation, and modeling to improve efficiency and stability. His work integrates materials science, semiconductor physics, and energy systems engineering to advance next-generation solar technologies. Although no specific publications are listed in the provided text, his research domain suggests a strong focus on photovoltaic device physics, charge transport, recombination mechanisms, and performance modeling. His work likely spans experimental validation and computational analysis, contributing to both academic knowledge and industrial applications in solar energy. Thomas Kirchartz has previously held a Junior Research Fellow position at Imperial College London, indicating a strong international research background. While no scientific awards are mentioned in the provided content, his leadership roles suggest recognition within the energy research community. He advises students and leads a research group at Forschungszentrum Jülich, though specific advisees are not listed. He is likely involved in major research grants related to renewable energy and photovoltaics, given the scale of his institutional affiliations. His laboratory focuses on the analytics and simulation of solar cells, particularly organic and perovskite-based technologies, operating within a multidisciplinary team at one of Europe’s leading energy research centers.

• High Frequency Electronics
• Microwave Engineering
• RF Circuit Design
• +۳ مورد دیگر

Dr. Muh-Dey Wei is a Professor and Chair of High Frequency Electronics at RWTH Aachen University, affiliated with the Faculty of Electrical Engineering and Information Technology. His work focuses on advanced electronic systems operating at high frequencies, contributing to innovations in wireless communications and microwave technologies. His research spans key areas including High Frequency Electronics , RF Circuit Design , Microwave Engineering , and Semiconductor Devices . These interests align with modern demands for high-speed data transmission, 5G/6G networks, and efficient RF components. While no specific publications or awards are listed in the available text, his leadership as Chair indicates significant contributions to the field. He is actively involved in academic research and likely supervises graduate students, although no advisees are named. Dr. Wei is based at the ICT Cube 2 building within the Electrical Engineering department (Room 2321), Kopernikusstr.16, 52074 Aachen, Germany, and can be contacted via email at muh-dey.wei@hfe.rwth-aachen.de .

Konstantin Nestmannمشاهده پروفایل

پژوهشگر ارشد

• Quantum Thermodynamics
• Open Quantum Systems
• Quantum Information
• +۳ مورد دیگر

Konstantin Nestmann is a Postdoctoral Researcher in the Department of Physics at Lund University's Faculty of Engineering since 2023, funded by an EU Marie Skłodowska-Curie fellowship. His research focuses on quantum thermodynamics and open quantum systems using techniques from statistical field theory and quantum information. His educational background includes a PhD in Physics (summa cum laude) from RWTH Aachen University (2018-2022) and a combined BSc and MSc in Physics from Dresden University of Technology (2011-2018). His doctoral thesis addressed the dynamics of open quantum systems from quantum information and statistical physics perspectives. Nestmann's research centers on non-perturbative quantum master equations, quantum non-Markovianity, and quantum thermodynamics. He develops theoretical frameworks and computational tools, such as the RealTimeTransport library, to study quantum transport in the strong coupling regime. His work bridges fundamental quantum dynamics with practical applications in nanoelectronics. His publication record from 2019 to 2024 reveals a consistent focus on the interplay between time-local and time-nonlocal descriptions of quantum dynamics, with significant contributions to renormalization group methods and fermionic duality. These works span exact solutions for open quantum systems, non-perturbative approximations, and numerical implementations. Scientific awards include: Marie Skłodowska-Curie fellowship Nestmann has served as a lead teaching assistant for Quantum Information and Introduction to Theoretical Physics, and as a teaching assistant for Statistical Physics and Quantum Mechanics. His research is supported by the Marie Curie fellowship and collaborative projects with institutions including RWTH Aachen and Forschungszentrum Jülich. He is an active member of the quantum transport and open systems research community, contributing to open-source software development and collaborative theoretical advancements.

Olaf Landsiedelمشاهده پروفایل

استاد

• Distributed Systems
• Wireless Sensor Networks
• Peer-to-Peer Systems
• +۴ مورد دیگر

Olaf Landsiedel is a Full Professor and head of the Distributed Systems Group at Kiel University, where he leads research in distributed computing, wireless sensor networks, and peer-to-peer systems. He has been a key contributor to the field since joining COMSYS in 2006 and earning his PhD in 2010. His research interests center on enabling accurate, scalable, and energy-efficient network simulations and protocols. He focuses on bridging the gap between simulation and real-world deployment, improving timing accuracy, modeling power consumption, and designing robust communication for unstable wireless environments. His work emphasizes modularity, flexibility, and reliability in distributed systems. The 15 most recent publications reflect a strong trend toward enhancing simulation fidelity, addressing bursty wireless links, enabling dynamic software updates in sensor networks, and developing tools for realistic experimentation. His work spans both theoretical models and practical implementations, often validated through simulation frameworks and testbeds. Olaf Landsiedel has advised numerous students on topics ranging from routing protocols to modular communication frameworks and ontology design, primarily during his time at RWTH Aachen University. While no specific grants are mentioned, his sustained publication record suggests consistent research funding and collaborative projects. He leads the Distributed Systems Group, which conducts cutting-edge research in network simulation, protocol development, and sensor network reliability. The group's work includes tools like KleeNet for bug detection and Horizon for parallel simulation, indicating a strong focus on practical system building and validation.

Christian Jirauschekمشاهده پروفایل

دانشیار

• Computational Photonics
• Quantum Cascade Lasers
• Nano-optoelectronic Devices
• +۴ مورد دیگر

Prof. Christian Jirauschek is an Associate Professor in Computational Photonics at the Technical University of Munich (TUM), leading the Associate Professorship of Computational Photonics. His research focuses on theoretical and computational photonics, including quantum cascade lasers, terahertz technology, and optoelectronic device modeling. He holds a Heisenberg Professorship (2015) and Emmy Noether Fellowship (2007). Education: Diploma in Electrical Engineering (University of Karlsruhe, 2000), PhD (2004). Research affiliations include MIT's Research Laboratory of Electronics (2002-2005) and TUM's Emmy Noether junior research group (2007). Research Interests: Modeling of lasers, nano-optoelectronics, quantum cascade devices, and frequency comb generation. Active in developing simulation tools like mbsolve and bertha. Supervises PhD students in optoelectronic device design and quantum photonics. Key Awards: Heisenberg Professorship, Emmy Noether Fellowship, Kühborth Foundation Prize (2001). Over 100 publications in journals like Nature Photonics and Physical Review Letters .

• Data Science
• eScience
• Scientific Data Processing
• +۱ مورد دیگر

Philipp Wieder serves as Honorary Professor at the Institute of Computer Science, University of Göttingen, while holding dual leadership positions at the Society for Scientific Data Processing mbH Göttingen (GWDG). He is Head of Data Science Infrastructures and Deputy Head/Group Leader of AG eScience, a joint institution between the University of Göttingen and Max Planck Society focused on research computing infrastructure. His research centers on data-intensive scientific methodologies, with core expertise in eScience infrastructure development and large-scale data management systems. This work bridges computational science and domain-specific research through robust data processing frameworks applicable across physics, biology, and social sciences. Prof. Wieder leads strategic initiatives in scientific data infrastructure at GWDG, directing the AG eScience group's development of scalable computing solutions. His operational base spans two Göttingen locations: Burckhardtweg 4 (37077) and Geiststraße 10 (37073), with primary contact via philipp.wieder@gwdg.de.

Lars Petersenمشاهده پروفایل

استاد

• Production Management
• Service Management
• Operations Research
• +۵ مورد دیگر

Prof. Lars Petersen is a Professor and Chair of Production and Service Management at the Department of Economics, Alanus University. Since April 2007, he has held the academic chair, focusing on production and service management. From 2009 to 2012, he served as Head of the Department of Business at Alanus University. His academic credentials include a Dr. rer. oec. (1997) and Habilitation (2006) from Saarland University. Education: J.L. Kellogg Graduate School of Management (MBA, 1989) Ecole des Hautes Etudes Commerciales Paris (Management, 1989) Wissenschaftliche Hochschule für Unternehmensführung Koblenz (Diplom-Kaufmann, 1991) Research Focus: Prof. Petersen’s work centers on production systems, capacity planning, service operations, and sustainability in business processes. His recent studies include analyzing consumer behavior in sustainable clothing and optimizing capacity management under uncertainty. He has co-authored influential papers in journals like Journal of Cleaner Production and OR Spectrum . Key Contributions: He co-edited Waldorf-Eltern in Deutschland (2018) and published monographs on contractual coordination in distribution systems and capacity-oriented order planning. His lectures at international conferences address high-flexibility environments and service process design.

Malte Brasholzمشاهده پروفایل

استاد

• Organic Chemistry
• Photochemistry
• Photocatalysis
• +۵ مورد دیگر

Prof. Dr. Malte Brasholz is a faculty member in the Institute of Chemistry at the University of Rostock, where he leads the research group focused on Organic Chemistry—Synthesis Methods and Catalysis. His work bridges fundamental organic synthesis with modern photocatalytic techniques and flow chemistry applications. Research Interests: Photochemistry and photocatalysis under visible light Development of novel synthetic methodologies Synthesis of biologically active compounds Application of flow chemistry and microreactor systems Tandem and cascade reaction design Sustainable and orthogonal catalytic processes The recent publications highlight a strong trend in photoredox-induced cascade reactions, particularly involving dearomatization, cyclization, and oxidation sequences. His work integrates ruthenium-based photocatalysts and organocatalytic systems to achieve complex molecular architectures efficiently. These efforts are primarily directed toward heterocyclic compound synthesis with potential pharmaceutical relevance. Scientific Awards: No awards listed in the provided text. Advising and Grants: While specific details on students or grant funding are not mentioned in the text, Prof. Brasholz leads an active research group engaged in doctoral and master's level supervision, as typical for a university professor in Germany. The group's structure implies ongoing mentorship and likely participation in national or institutional research funding programs. Labs and Teams: The Brasholz Research Group at the University of Rostock operates within the Institute of Chemistry, focusing on experimental organic synthesis. The team conducts research in photochemistry, catalysis, and flow chemistry, utilizing modern laboratory infrastructure including microreactor setups. The group disseminates findings through peer-reviewed publications and contributes to academic teaching in chemistry programs.

• Machine Learning
• Artificial Intelligence
• Reinforcement Learning
• +۴ مورد دیگر

Joelle Pineau is a Professor at the School of Computer Science, McGill University, Montreal, Canada. Her work spans Machine Learning , Artificial Intelligence , and Reinforcement Learning , with significant contributions to causal inference , ethics in AI , and continual learning . She has led initiatives like the NeurIPS 2019 Reproducibility Program and co-authored over 315 publications. Key Research Themes : Algorithmic fairness, robust policy learning, interpretable models, and AI ethics Recent Trends : Focus on uncertainty-aware systems, multi-task learning, and societal implications of foundation models Scientific Awards : NeurIPS 2019 Reproducibility Program Leadership Advancements in AI Ethics Review Practices Her work intersects Computer Science , Biomedical Research , and Societal Policy , with applications in healthcare, robotics, and knowledge graphs.

• Microbial Population Biology
• Evolutionary Biology
• Population Genetics
• +۳ مورد دیگر

Dr. Elisa Brambilla is a postdoctoral researcher in the Department of Microbial Population Biology at the Max Planck Institute for Evolutionary Biology in Plön, Germany. The department, led by Professor Paul Rainey, focuses on experimental and theoretical approaches to understanding microbial evolution and population dynamics. Her research lies at the intersection of microbial ecology and evolutionary genetics, investigating how microbial populations adapt and diversify under controlled conditions. This work contributes to broader understanding of evolutionary processes, speciation, and the genetic basis of adaptation. The department operates within a collaborative, internationally recognized research environment supported by the Max Planck Society, emphasizing rigorous experimental design and interdisciplinary approaches. Dr. Brambilla is part of a vibrant research group engaged in fundamental questions in evolutionary biology, utilizing microbial systems as model organisms to uncover general principles of evolution.

Chris Hawblitzelمشاهده پروفایل

پژوهشگر

• Programming Languages
• Operating Systems
• Verification
• +۴ مورد دیگر

Chris Hawblitzel is a Senior Principal Researcher at Microsoft Research , affiliated with the Systems Research Group – Redmond . His work bridges programming languages, operating systems, verification, and security, emphasizing the integration of safe programming language features into systems development. Research interests include: Programming Languages and Type Systems Formal Verification of Systems Software Language Design for Security and Safety Systems and Networking Recent publications highlight advancements in Rust verification, linear types for systems, proof automation in F*, assembly language verification, and tactic languages. Key trends involve leveraging type systems for safety, SMT-based automation, and cross-layer formal methods. He has contributed to academic communities as a committee member for conferences such as PLDI 2025 , OOPSLA 2023 , and CPP 2019 , alongside session chair roles.

Jan Giesselmannمشاهده پروفایل

استاد

• Hyperbolic conservation laws
• Compressible fluid flows
• Discontinuous Galerkin Methods
• +۶ مورد دیگر

Jan Giesselmann is a Professor of Mathematics – Numerics at the Department of Mathematics, Technical University of Darmstadt, serving since October 2018. He currently holds the position of Dean of the Department of Mathematics since October 2024, with prior academic appointments at the University of Stuttgart and RWTH Aachen University. Education: 2001: Abitur, Widukind Gymnasium Enger 2006: Diplom in Mathematics, University of Bielefeld 2011: PhD in Mathematics, University of Stuttgart 2015: Habilitation in Mathematics, University of Stuttgart Giesselmann's research centers on hyperbolic conservation laws and compressible fluid flows , employing discontinuous Galerkin methods with rigorous a-priori and a-posteriori error analysis . His work integrates model-adaptation and uncertainty quantification for complex systems, extending to observer-based data assimilation in gas networks and compressible multi-phase flows. He bridges theoretical numerical analysis with engineering applications through structure-preserving schemes and high-order methods. Current Research Leadership: Principal Investigator: Observer-based data assimilation for time-dependent flows in gas networks (DFG SFB-TRR154) Co-PI: A posteriori error control for statistical solutions of barotropic Navier-Stokes equations (DFG SPP-2410) Co-PI: Dissipative solutions for the Navier-Stokes-Korteweg system (DFG SPP-2410) Giesselmann actively supervises BSc/MSc theses on DG schemes, error estimation, and operator learning for conservation laws. His teaching portfolio includes advanced courses like Numerical Methods of Hyperbolic Problems and Discontinuous Galerkin Methods. He co-led COST Action CA18232's working group on numerical methods (2022-2024) and maintains an open-door consultation policy for students.