Find Academic Supervisors

• Database Systems
• Distributed Systems
• Cloud Computing
• +4 more

Dr. Kenneth Salem is a Professor at the University of Waterloo, Canada , with a distinguished career spanning over three decades in database systems, distributed computing, and data management. His work has significantly influenced transaction processing, replication, and scalability in modern databases. Institution: University of Waterloo Collaborations: Frequent co-author with Hector Garcia-Molina, Ashraf Aboulnaga, Umar Farooq Minhas, Khuzaima Daudjee Research Interests: Dr. Salem’s research focuses on database systems, particularly in transaction processing , distributed databases , cloud computing , and energy-efficient data storage . He has pioneered techniques for schema design in NoSQL , adaptive caching , and RDMA-based data transfer . His work often addresses challenges in high availability , workload-aware optimization , and cardinality estimation . Recent Article Trends: His latest publications (2023-2025) explore ad hoc transactions , eventual durability , and summary-based cardinality estimation , emphasizing practical solutions for real-world database scalability and consistency. Earlier works (2018-2022) covered memory power optimization , RDMA abstractions , and workload-aware CPU scaling , reflecting a sustained focus on performance and efficiency. Advising and Collaborations: Dr. Salem has mentored numerous co-authors in database research, including Ashraf Aboulnaga, Umar Farooq Minhas, and Khuzaima Daudjee. His collaborative projects span Apache Spark caching , RemusDB high availability , and DimmStore memory optimization . Labs and Teams: He has been a key contributor to the DaMoN and Versatile Database Systems workshops, focusing on hardware-aware database design. His work with teams at Waterloo and collaborations with institutions like ETH Zurich and MIT has advanced self-managing databases and edge replication technologies.

Andrea BarthView profile

Professor

• Stochastic Partial Differential Equations
• Uncertainty Quantification
• Monte Carlo Methods
• +4 more

Andrea Barth is a W3-Professor of Computational Methods for Uncertainty Quantification at the University of Stuttgart, leading the Research Group for Computational Methods for Uncertainty Quantification within the Excellence Cluster for Simulation Technology. She holds a Ph.D. from the University of Oslo (2009) and has held positions at ETH Zürich and the University of Stuttgart. Her work focuses on stochastic partial differential equations, numerical methods for uncertainty quantification, and applications in engineering and natural sciences. Education: Ph.D. in Mathematics, University of Oslo (2006–2009) Lecturer/Postdoc at ETH Zürich (2010–2013) Junior Professor at University of Stuttgart (2013–2017) Research Interests: Stochastic PDEs, uncertainty quantification, Monte Carlo methods, Bayesian inverse problems, and numerical analysis of random fields. Her work bridges stochastic analysis and numerical simulations, addressing challenges in modeling and simulating complex systems with uncertainties. Grants & Funding: Principal Investigator in projects like 'Data-Integrated Simulation Science' (ExC 2075) and 'Quantitative Methods for Visual Computing' (SFB/TRR 161). Her research also explores applications in porous media, carbon dioxide storage, and optical flow analysis. Supervision: Advised PhD students including Oliver König, Fabio Musco, and Robin Merkle. Current students focus on topics like deep learning for stochastic PDEs and continuous level Monte Carlo methods.

Marialore SulpiziView profile

Professor

• Theoretical Physics
• Condensed Matter Physics
• Molecular Dynamics Simulations
• +5 more

Prof. Dr. Marialore Sulpizi is a Professor of Theoretical Physics of Electrified Liquid-Solid Interfaces at Ruhr-University Bochum, Germany, and a core member of the RESOLV Cluster of Excellence. Previously, she served as Junior Professor (2010–2017) and Adjunct Professor (2017–2021) at Johannes Gutenberg University Mainz. Her research focuses on molecular-scale understanding of electrified solid-liquid interfaces using ab initio and atomistic simulations, addressing phenomena like charge/mass transport in energy conversion and biomembrane systems. She holds a Laurea (M.Sc.) in Theoretical Physics from Università di Roma La Sapienza (1997) and a PhD in Condensed Matter Theory from SISSA (2001), followed by postdoctoral work at EPFL/ETHZ (Switzerland) and the University of Cambridge (UK). Research interests span interfacial electrochemistry, nanomaterials, and environmental interfaces. She explores how interfacial structure influences reactivity in systems like platinum electrodes, gold nanoparticles, and silicate surfaces. Key contributions include modeling electrolyte double layers, nanoparticle growth mechanisms, and surface acidity effects. Publications (2021–2025) highlight advancements in interfacial dynamics, ionic liquid confinement, and biomolecular solvation. Her work bridges fundamental physics with applied challenges in energy storage and biointerfaces. Collaborations with experimental groups enable validation of simulation predictions. Current projects investigate non-equilibrium interface behavior and solvent roles in chemical reactions.

• Seismology
• Geophysics
• Planetary Science
• +3 more

Prof. Heiner Igel is a Professor at the Department of Earth and Environmental Sciences, Ludwig-Maximilians-Universität (LMU) München. His research focuses on seismology, planetary geophysics, and structural health monitoring, leveraging advanced numerical methods and sensor technologies. He leads projects involving multi-component seismic measurements, seismic wave modeling, and planetary exploration instruments. Key research areas include rotational ground motion analysis, nonlinear seismic wave propagation, and subsurface imaging for Earth and planetary bodies. His work integrates cutting-edge numerical techniques like discontinuous Galerkin methods and Markov Chain Monte Carlo sampling for earthquake dynamics and material parameter inversion. Prof. Igel’s contributions include the NEPOS project for planetary seismic networks and collaborations with instruments like ROMY (Ring Laser Gyroscope). His studies span bridge monitoring, lunar subsurface exploration, and environmental seismology, emphasizing interdisciplinary applications of geophysical data.

Sisi FanView profile

Researcher

• DNA Nanotechnology
• Synthetic Biology
• Biosensors
• +3 more

Sisi Fan is a Researcher at the 2nd Physics Institute, University of Stuttgart, specializing in DNA nanotechnology and synthetic biology. Her work focuses on engineering DNA-based nanoscale systems for applications in materials science, biomedicine, and molecular computing. Her research interests include DNA origami structures, programmable molecular systems, and their integration into synthetic cells and diagnostic platforms. Notable projects involve reconfigurable DNA networks for membrane engineering and spatiotemporal control of biochemical reactions. Recent publications highlight advancements in DNA-based photonic materials, enzyme-free catalytic circuits, and nanomedicine applications using gold nanostars for targeted therapy. She explores interdisciplinary interfaces between nanotechnology and cell biology, with contributions to cellular nanomechanics and immune response modulation via nanoparticle systems. Dr. Fan collaborates with interdisciplinary teams to advance nanotechnology-driven solutions in diagnostics, therapeutics, and biomaterials. Her lab at the University of Stuttgart emphasizes both fundamental research and translational biomedical applications.

Hamid ZargariaslView profile

Researcher

• Computer Networks
• IoT and Sensor Technology
• RFID Systems
• +3 more

Dr. Hamid Zargariasl is a Researcher in the Computer Engineering Department at BTU Cottbus-Senftenberg. His work focuses on IoT systems, RFID technology, social network analysis, and distributed computing. He leads the UBICO Team and contributes to the Computer Engineering Group, exploring interdisciplinary applications of telecommunications and sensor networks. His research integrates theoretical frameworks with practical implementations, addressing challenges in smart city infrastructure, healthcare systems, and educational technology. Key research areas include optimizing RFID and sensor performance, analyzing social object interactions in IoT networks, and developing protocols for distributed computing. His experimental studies bridge academic performance metrics with mobile social network dynamics, and he has pioneered methodologies for network integration and centrality analysis in evolving systems. Publications span 15 years (2009–2024), emphasizing real-world data analysis and system optimization. Notable work includes enhancing digital thread functionality in aerospace engineering and evaluating smart parking sensor technologies. His contributions inform both technical systems and socio-economic policy recommendations. Dr. Zargariasl collaborates within interdisciplinary teams, contributing to the BTU's research initiatives while maintaining active engagement in the academic community through lectures and student mentorship.

Dirk BuschView profile

Professor

• Infection Immunology
• Antigen-Specific T Cell Biology
• Immunotherapy
• +3 more

Prof. Dirk Busch is a Professor and Director of the Institute of Medical Microbiology, Immunology and Hygiene at the Technische Universität München (TUM). He leads the focus group 'Clinical Cell Processing and Purification' at TUM's Institute for Advanced Study. His research focuses on infection immunology, particularly antigen-specific T cell mechanisms and translational applications in immune cell-based therapies. He chairs the German Center for Infection Research (DZIF) and is a member of the German National Academy of Sciences Leopoldina. Education: Studied medicine in Mainz and Freiburg (1993), completed clinical training in pediatric infectious diseases at Würzburg (1993–1996), and held a DFG scholarship at Yale University (1996–1999). Qualified as a professor in 2003 and completed his residency in medical microbiology at TUM in 2005. Research interests include developing diagnostic tools and cell therapies using immune cells, with a focus on T cell engineering and chronic infection dynamics. He co-founded STAGE Cell Therapeutics GmbH and T Cell Factory BV. Awards include the Science Day Award (2008), Wilhelm Vaillant Prize (2003), and Gerhard Hess Research Prize (2000). Key research contributions span T cell receptor engineering, memory T cell biology, and MHC multimer-based cell isolation techniques. His work bridges basic immunology with clinical applications in cell therapy and infection control.

Uta GraffView profile

Professor

• Architectural Design
• Design Theory
• Architectural Knowledge Generation
• +3 more

Prof. Uta Graff holds the Chair of Design and Structure in the Department of Architecture at the TUM School of Engineering and Design since 2012. Her academic career includes teaching at University of Applied Sciences Würzburg (2010–2012), visiting professorships at the China Academy of Art and Berlin University of the Arts (UdK), and professional experience with renowned firms like Peter Zumthor and gmp Architekten. Her research focuses on architectural design processes as systematic knowledge generation, with interdisciplinary exploration of design practice and spatial analysis. Education: Studied architecture at Technical University of Braunschweig and ETH Zurich, followed by research roles at Berlin University of the Arts under Professors Grazioli and Krischanitz. Research Interests: Conceptual and experimental design practices Methodical approaches to architectural knowledge Landscape and spatial analysis Material innovation in structural design Awards: Recognized with prestigious awards including the 2024 Award for Students and Schools of Architecture, Cologne Architecture Prize (2017), and German Steel Construction Award (2014). Advising & Grants: No specific advisees listed, but her academic leadership includes initiating the Dimensions: Journal of Architectural Knowledge as editor-in-chief. Labs/Teams: Leads the Chair of Design and Structure, fostering interdisciplinary architectural research.

Konrad KochView profile

Professor

• Environmental Engineering
• Anaerobic Digestion
• Waste Management
• +3 more

Prof. Dr.-Ing. habil. Konrad Koch is a Professor at the Technical University of Munich (TUM), leading the working group on energy-efficient wastewater treatment since 2012. He holds the Chair of Urban Water Management within the TUM School of Engineering and Design. His career includes a habilitation in 2018 and appointment as an Extraordinary Professor (Apl.-Prof.) in 2023. He previously worked at the Bavarian State Research Center for Agriculture and earned his PhD from TUM in 2010. Education: PhD (Dr.-Ing.), Technical University of Munich (2010) Diploma in Waste Management and Contaminated Sites, TU Dresden (2007) Research at TU Hamburg-Harburg (2006–2007) Research focuses on sustainable use of organic waste streams, anaerobic digestion, wastewater treatment innovation, and energy recovery. Key areas include biological methanation, CO₂ utilization, and process optimization for resource efficiency. Koch actively bridges lab-scale to full-scale applications, emphasizing practical implementation in urban wastewater systems. Publications highlight advancements in biogas potential testing standardization, microbial methanation, and co-digestion strategies. His work addresses challenges like nitrogen oxide emissions and substrate selection for anaerobic processes. Lab affiliation: Chair of Urban Water Management, TUM. Collaborates with interdisciplinary teams on projects like ENCOVER, CANDO, and the Urban Water-Energy-Food Nexus. Editor for Bioresource Technology and Environmental Technology & Innovation .

Birgit KemmerlingView profile

Researcher

• Plant Molecular Biology
• Plant Pathology
• Immunology
• +5 more

Dr. Birgit Kemmerling is a research group leader at the Center for Plant Molecular Biology (ZMBP) within the Faculty of Science at the University of Tübingen, Germany. Her research focuses on molecular mechanisms of plant innate immunity, particularly the role of leucine-rich repeat receptor-like kinases (LRR-RLKs) in pathogen recognition and defense signaling. Key projects include studying BAK1 and BIR3 kinases involved in immune receptor complex formation and regulation. She collaborates with institutions worldwide and has secured funding from DFG and EU programs such as AFGN, Bravissimo, and SFB1101. Teaching responsibilities include lectures and seminars on comparative immunity in plants and animals, practical courses in molecular mechanisms of innate immunity, and supervision of bachelor/master theses. Her group actively engages in interdisciplinary projects, integrating nanotechnology studies to assess immune responses to nanoparticles across species. Notable collaborators include Prof. Thomas Boller (Basel), Cyril Zipfel (Norwich), and Frans Tax (Tucson). Research highlights include discovering BAK1's dual role in brassinosteroid signaling and immune response regulation, as well as identifying novel LRR-RLK genes activated by pathogen infection. Current work explores nanomaterial biocompatibility and immune system interactions, leveraging advanced microscopy techniques like super-resolution imaging (OneFlowTraX software development).

Benjamin SugerView profile

Researcher

• Robotics
• Autonomous Systems
• Traversability Analysis
• +6 more

Benjamin Suger is a researcher in the Department of Computer Science at the University of Freiburg, affiliated with the Autonomous Intelligent Systems group within the Faculty of Engineering. His work centers on robotics and intelligent systems, particularly in autonomous navigation and environment modeling. Diploma in Mathematics, University of Freiburg (2003–2011) PhD Student, Autonomous Intelligent Systems Group, University of Freiburg (2011–2017) His research interests include traversability analysis, SLAM, 3D modeling, and mobile robotics. He applies machine learning and computer vision techniques to enable robust robot navigation in complex and dynamic environments. His work often integrates sensor data from 3D lidar and visual systems to improve perception and localization. The recent publications highlight a strong focus on long-term autonomy, outdoor navigation, and memory-efficient SLAM algorithms. Key themes include handling perceptual changes, terrain adaptability, and integration of open geospatial data like OpenStreetMap. His work bridges theoretical algorithm development with real-world robotic applications. Scientific recognition includes being a finalist for the Best Conference Paper Award. This reflects the impact and quality of his contributions to the robotics community. Best Conference Paper Award Finalist Benjamin Suger has contributed significantly to research projects such as LifeNav and has served as a teaching assistant for the Introduction to Mobile Robotics course. While no direct advising of students is listed, his collaborative work with prominent researchers like Wolfram Burgard indicates active participation in a larger academic and research team. He has not received external grant mentions in the provided text. He is part of the Autonomous Intelligent Systems lab at the University of Freiburg, a leading group in robotics research, where he contributes to advancing the state of the art in autonomous navigation and environmental understanding for mobile robots.

Sven ApelView profile

Professor

• Software Engineering
• Software Variability and Configuration
• AI-based Program Generation and Optimization
• +7 more

Sven Apel is Professor of Computer Science at Saarland University, where he holds the Chair of Software Engineering and directs the Saarbrücken Graduate School of Computer Science within the Saarland Informatics Campus. His research aims to advance software engineering into an era of intensive automation by developing methods, tools, and theories for building efficient, reliable, and maintainable software systems, with a strong emphasis on the human factor and interdisciplinary inquiry. His primary research interests include software variability and configuration, AI-based program generation and optimization, socio-technical software analysis, and the application of empirical and neurophysiological methods to study program comprehension. He actively collaborates with industry partners such as Siemens AG, Bosch Engineering, and Airbus Helicopters to apply his research in real-world contexts. His recent publications demonstrate a strong trend towards integrating artificial intelligence and neurocognitive methods into software engineering, focusing on configurable systems, performance modeling, debugging processes, and the scientific validity of empirical studies. His work spans top venues like ICSE, FSE, ASE, and IEEE TSE. ERC Advanced Grant “Brains On Code” ASE Fellow ACM Distinguished Member Hugo Junkers Award for Research and Innovation Heisenberg Professorship (DFG) Emmy-Noether Fellowship (DFG) Best Doctoral Dissertation Awards (University of Magdeburg, Ernst-Denert Foundation, 2007) Most Influential Paper Awards (SPLC'19, ICPC'22, GPCE'23) ACM SIGSOFT Distinguished Paper Awards (ICSE'15, ICSE'21) Best Paper Awards (SPLC'11, Modularity'15, Academy of Management'18) Distinguished Reviewer Awards (ASE'18, ICSE'24, FSE'24) Sven Apel has secured significant research funding, including an ERC Advanced Grant (€2.5M) and multiple DFG grants as Principal Investigator and Project Leader. He has advised numerous PhD and Master’s students and is actively involved in the academic community through program committees for major conferences like ICSE, FSE, and ASE. His work is conducted within a collaborative environment that includes close partnerships with researchers at the Max Planck Institute for Informatics and other institutions within the Saarland Informatics Campus.

Oliver KarrasView profile

Lecturer

• Data Science
• Artificial Intelligence
• Knowledge Representation
• +4 more

Oliver Karras is a researcher, data scientist, and lecturer at the Data Science and Digital Libraries research group at TIB – Leibniz Information Centre for Science and Technology. He holds a BSc, MSc, and PhD in Computer Science from Leibniz University Hannover. His research focuses on FAIR scientific knowledge, Open Research Knowledge Graph (ORKG), and national research infrastructure projects like NFDI-4Ing and FAIR-DS. He is a member of the German Informatics Society (GI) and spokesperson of the Requirements Engineering (RE) group, contributing to conferences and journals as a reviewer. Previously, he was a research associate and PhD student in the Software Engineering group at Leibniz University, leading the DFG project ViViReq on video integration in requirements engineering. His research interests include Data Science, AI, Knowledge Representation, Software Engineering, Requirements Engineering, Empirical Research, and Open Science. He has published over 60 papers in these areas, with notable contributions to knowledge graphs, FAIR data, and reproducibility frameworks. His work emphasizes organizing scientific knowledge for accessibility and collaboration across disciplines. He is actively involved in initiatives like the ORKG, promoting sustainable literature reviews and open science practices. His professional contributions extend to tool development, such as OntoAligner for ontology alignment and SciKGTeX for semantic annotation in LaTeX. Oliver Karras collaborates with institutions like Leibniz University, contributing to the NFDI consortium and energy research projects. His expertise bridges technical innovation and academic rigor, addressing challenges in knowledge management and reproducibility. His current roles include advancing TIB’s research infrastructure and fostering interdisciplinary collaboration through knowledge graph applications.

Torsten JohnView profile

Assistant Professor

• Biophysical Chemistry
• Computational Chemistry
• Biomolecular Self-Assembly
• +4 more

Torsten John is an Assistant Professor of Physical Chemistry at the School of Science, Constructor University Bremen gGmbH, Germany. His research bridges biophysical chemistry and computational chemistry to engineer biomolecular systems for biomedical applications. PhD in Chemistry (2020) from Leipzig University (summa cum laude) Postdoctoral experience at Max Planck Institute, MIT, and Leibniz Institute of Surface Engineering Research focuses on biomolecular self-assembly and membrane interactions , with implications for antimicrobial strategies , nanomedicine , and neurodegenerative diseases . Articles show interdisciplinary work combining experimental and theoretical approaches . Publications include high-impact journals like Advanced Functional Materials and Nucleic Acids Research . His group develops bionanomaterials using peptide nanofibrils and DNA origami, with applications in viral particle isolation and exciton transport . Collaborations span institutions in Germany, USA, and Australia. Teaching includes Physical Chemistry (CO-440) and Physical Chemistry Lab (CO-446-B) .

Christof RöhrigView profile

Professor

• Robotics
• Mobile Robotics
• Wireless Sensor Networks
• +3 more

Christof Röhrig is a Professor at the FH Dortmund - University of Applied Sciences and Arts , conducting research at the Institute for the Digitalization of Work and Living Environments (IDiAL). He leads the Intelligent Mobile Systems Lab , focusing on robotics, wireless sensor networks, and kinematic modeling. His research spans mobile robotics , indoor localization , and industrial automation , with a strong emphasis on IoT , 5G networks , and rescue robotics . Key trends in his recent work include LoRaWAN localization , modular robot design , and digital twin architecture . He collaborates extensively on motion control , sensor fusion , and energy-efficient systems , though no specific students, awards, or grants are listed in the provided data. The lab at IDiAL explores robotics in emergency response and industrial IoT applications , with a focus on precision localization and collaborative automation .