جست‌وجوی استاد و پژوهشگر

Sarah Fakhouryمشاهده پروفایل

پژوهشگر

• Formal Methods
• Software Engineering
• AI-Assisted Programming
• +۵ مورد دیگر

Sarah Fakhoury is a Senior Researcher in the Research in Software Engineering (RiSE) group at Microsoft Research, Redmond. Her work bridges formal methods, empirical software engineering, machine learning, and human-computer interaction to optimize developer cognitive effort in AI-assisted programming tools. Her research focuses on trustworthy AI for code generation , leveraging formal verification to ensure correctness in LLM-generated outputs. Key areas include program comprehension, source code readability, and empirical evaluation of developer-AI interaction. She develops tools like 3DGen for provably correct binary parsers and NL2Fix for natural language-based code repair. Her publications reveal strong trends in formal methods integration with AI (60% of recent work), empirical developer studies (30%), and readability/metrics innovation (10%). Keywords cluster around program verification, LLM evaluation, and cognitive load measurement. ACM/SIGSOFT Distinguished Paper Award (ICPC 2018) Fakhoury actively contributes to the academic community as PC member for ASE, ICSE, and ESEC/FSE. She co-organizes workshops like Muslims in ML at NeurIPS and mentors through SMeW. Her RiSE group collaboration with Shuvendu Lahiri and Madanlal Musuvathi drives Microsoft's trustworthy AI4Code initiatives, focusing on verifiable developer tools.

Christian Winklerمشاهده پروفایل

استاد

• Artificial Intelligence
• Natural Language Processing
• User Experience
• +۴ مورد دیگر

Christian Winkler is Professor for AI-based UX optimization and general business administration at Nuremberg Institute of Technology since 2022. With over 25 years of experience spanning entrepreneurship, enterprise architecture, and academia, he brings substantial industry expertise to his academic role. His career includes founding multiple technology companies including an internet service provider (WWL Internet AG) that went public in 1999, Querplex GmbH through management buyout in 2003, and datanizing GmbH as an NLP SaaS provider in 2017. Professor Winkler's research focuses on practical applications of artificial intelligence in business contexts, with particular expertise in natural language processing, user experience optimization, and data-driven marketing strategies. His work bridges theoretical AI research with real-world business applications, emphasizing accessibility of complex technologies. He has published extensively on language models (including BERT and LLaMA implementations), text analysis techniques, and social media data analysis for business insights. Recent publications reveal a strong trend toward optimizing large language models for practical deployment, with significant focus on analyzing user-generated content from social platforms like Instagram and WallStreetBets. His work demonstrates how NLP can extract valuable business intelligence from unstructured data sources while making advanced AI techniques accessible to non-technical business professionals. Winkler teaches E-Commerce, International Marketing Tools - Quantitative Methods, Applied User Experience, and Communication Management, reflecting his interdisciplinary approach that combines technical AI knowledge with business administration expertise. He is an active contributor to the data science community through conference presentations at events like m3 Konferenz, MLsummit, and data2day, as well as educational content for Heise Academy on Python and NLP topics.

Ashwin Ramمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Wearable Computing
• Augmented Reality
• +۴ مورد دیگر

Ashwin Ram is a postdoctoral researcher at Saarland University's Human-Computer Interaction & Interactive Technologies Lab, under Prof. Jürgen Steimle. He holds a PhD in Computer Science from the National University of Singapore (NUS), advised by Prof. Shengdong Zhao, and a Bachelor's in Electronics Engineering from NIT Trichy. His research focuses on wearable augmented reality, smart glasses, and accessibility, leveraging cognitive and behavioral theories to design intelligent interfaces. Notable contributions include Mindful Moments (DIS '23, Honorable Mention), a mindfulness tool for smart glasses, and a quadruped robot guidance system for visually impaired individuals (CHI '24, Honorable Mention). He has served as an Associate Chair (AC) for UIST 2025 and CHI 2025. His work bridges HCI with wearable computing, exploring topics like video learning optimization (LSVP, IMWUT '21), sound source localization via neural networks (NCC '18), and accelerating Hawkes processes for event modeling (ICML '17 workshop). He collaborates internationally, including a research visit at UCL's Multi-Sensory Devices Group. Key achievements include 17 peer-reviewed publications (Google Scholar, ORCID: 0000-0003-1430-8770) and interdisciplinary projects like semantic floor map-based robot navigation. Beyond academia, he practices Carnatic music, plays guitar, and is fluent in Malayalam, Tamil, and English, with proficiency in French, German, and Hindi.

• Database Systems
• Distributed Systems
• Cloud Computing
• +۴ مورد دیگر

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 Barthمشاهده پروفایل

استاد

• Stochastic Partial Differential Equations
• Uncertainty Quantification
• Monte Carlo Methods
• +۴ مورد دیگر

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 Sulpiziمشاهده پروفایل

استاد

• Theoretical Physics
• Condensed Matter Physics
• Molecular Dynamics Simulations
• +۵ مورد دیگر

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
• +۳ مورد دیگر

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 Fanمشاهده پروفایل

پژوهشگر

• DNA Nanotechnology
• Synthetic Biology
• Biosensors
• +۳ مورد دیگر

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 Zargariaslمشاهده پروفایل

پژوهشگر

• Computer Networks
• IoT and Sensor Technology
• RFID Systems
• +۳ مورد دیگر

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 Buschمشاهده پروفایل

استاد

• Infection Immunology
• Antigen-Specific T Cell Biology
• Immunotherapy
• +۳ مورد دیگر

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 Graffمشاهده پروفایل

استاد

• Architectural Design
• Design Theory
• Architectural Knowledge Generation
• +۳ مورد دیگر

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 Kochمشاهده پروفایل

استاد

• Environmental Engineering
• Anaerobic Digestion
• Waste Management
• +۳ مورد دیگر

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 Kemmerlingمشاهده پروفایل

پژوهشگر

• Plant Molecular Biology
• Plant Pathology
• Immunology
• +۵ مورد دیگر

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 Sugerمشاهده پروفایل

پژوهشگر

• Robotics
• Autonomous Systems
• Traversability Analysis
• +۶ مورد دیگر

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 Apelمشاهده پروفایل

استاد

• Software Engineering
• Software Variability and Configuration
• AI-based Program Generation and Optimization
• +۷ مورد دیگر

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.