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Felix HöflingView profile

Professor

• Statistical Physics
• Biological Physics
• Molecular Dynamics
• +3 more

Prof. Felix Höfling holds a W2 non-tenure professorship for 'High-performance computing in molecular dynamics' at Freie Universität Berlin (since 2015). He leads the Computational Statistical & Biological Physics group within the Department of Mathematics and Computer Science. Prior roles include research associate positions at the Max Planck Institute for Intelligent Systems (2010–2015), postdoctoral research at the University of Oxford (2009), and doctoral work at Ludwig-Maximilians-Universität München (2006, summa cum laude). His research focuses on computational methods in statistical and biological physics, including molecular dynamics simulations, anomalous transport in crowded environments, and high-performance computing. Notable contributions include studies on liquid-vapor interfaces, colloidal dynamics, and the interplay between microscopic and macroscopic transport phenomena. His work integrates theoretical modeling, numerical simulations, and interdisciplinary applications in soft matter and biophysics. Editorial Board Member of Communications Physics (since 2023) Director of the CECAM node 'Mathematics and Computation in Molecular Simulation' (since 2022) Head of the MSc Examination Board for Computational Sciences (since 2019) His research articles explore topics such as surface tension modulation, confined fluids, and active matter systems. Key achievements include a highly cited review on anomalous transport in biological cells (2013) and contributions to the development of the H5MD molecular data format. Awarded 'Distinguished Referee' by the European Physical Journal (2013) Recipient of grants for projects on open systems and parallel computing Prof. Höfling oversees the Computational Statistical & Biological Physics lab, emphasizing collaborative research in computational physics and interdisciplinary applications.

Ehrhard BehrendsView profile

Professor

• Functional Analysis
• Probability Theory
• Stochastic Processes
• +4 more

Prof. Ehrhard Behrends is a Professor of Mathematics at the Department of Mathematics and Computer Science, Freie Universität Berlin. His research focuses on functional analysis, probability theory, and stochastic processes. He is also deeply involved in mathematical education and public outreach, having authored numerous popular mathematics books and articles. Key roles include leading the European Mathematical Society's Raising Public Awareness committee (2009–2015) and developing the mathematics portal mathematics-in-europe.eu . Behrends has organized major exhibitions like 'Mathematics for all the Senses' and contributed to initiatives such as the Year of Mathematics 2008. His work bridges advanced research with accessible communication, reflected in his books on Markov chains, analysis textbooks, and the Five Minutes of Mathematics column.

Matthew GieslerView profile

Researcher

• Computational Astrophysics
• Theoretical Astrophysics
• Numerical Relativity
• +3 more

Matthew Giesler is a postdoctoral scholar in the TAPIR group at the California Institute of Technology (Caltech), specializing in computational and theoretical astrophysics. His research focuses on numerical relativity, particularly using the Spectral Einstein Code (SpEC) as part of the Simulating eXtreme Spacetimes (SXS) collaboration to study black holes and gravitational waves. He contributes to large-scale simulations of binary black hole mergers and neutron star collisions, emphasizing high-precision modeling and waveform analysis. His work involves advancing numerical methods like discontinuous Galerkin techniques and investigating topics such as black hole ringdown overtones, small mass-ratio corrections, and gravitational wave parameter estimation. Giesler collaborates extensively with international teams including LIGO, Virgo, and KAGRA to analyze observational data from gravitational wave detectors. Key projects include the SXS Collaboration's catalogs of binary black hole simulations and studies of extreme mass ratio systems. His research bridges theoretical predictions with observational data, contributing to tests of general relativity and cosmological parameter constraints. Despite no listed formal awards, his contributions to gravitational wave astronomy are highlighted through high-impact publications and collaborative efforts in multi-messenger astrophysics. His work supports the development of SpECTRE, a multi-physics simulation framework, and informs future gravitational wave detectors' data analysis methods.

• Natural Language Processing
• Clinical Informatics
• Machine Learning
• +3 more

Alexander Loeser is a researcher active in natural language processing (NLP) and its applications in clinical and financial domains. He has contributed to diverse areas including clinical outcome prediction, transformer-based reinforcement learning environments, domain knowledge integration, and information extraction from text. His recent work focuses on evaluating large language models' financial literacy via domain-specific languages and addressing data drift in clinical NLP tasks. Key Research Areas: Clinical decision support systems and outcome prediction Domain knowledge injection into transformer models Biased news article detection Interactive NLP systems for entity linking Methodological Focus: Reinforcement learning and attention mechanisms Multi-task and self-supervised learning Active sampling for annotation efficiency Topic segmentation and classification Loeser has collaborated extensively with researchers like Wolfgang Nejdl, Betty van Aken, Felix Gers, and Paul Grundmann, with publications spanning from 2012 to 2025. His work emphasizes interpretability, generalization, and practical deployment of NLP models in real-world domains.

• Gender Studies
• Queer Theory
• Television Fiction
• +3 more

Beatriz González de Garay Domínguez is a Senior Lecturer in Audiovisual Communication at the University of Salamanca and member of the Observatory for Audiovisual Contents. She holds a BA with an Extraordinary Final Degree Award from Universidad Carlos III de Madrid and a European PhD from Universidad Complutense Madrid. Research focuses on gender and sexual diversity studies in television fiction and audiovisual heritage Former teaching experience at Universidad Complutense under an Education Ministry grant Research stay at Humboldt University of Berlin (2011) Professional background includes non-academic roles as script analyst for Telecinco and assistant director for the series Hospital Central . Her scholarly work examines: Queer childhood representations in Spanish cinema LGBTQ+ portrayal across traditional and streaming platforms Gender dynamics in director-led film production Visual media's role in historical education Narrative persuasion strategies for health communication

• Static analysis
• Dynamic Analysis
• Abstract interpretation
• +5 more

Quentin Stiévenart is a post-doctoral researcher at the Software Languages Lab of the Vrije Universiteit Brussel (VUB) in Belgium, specializing in programming languages and program analysis. His research spans multiple areas within static and dynamic analysis, with a particular focus on WebAssembly security and analysis techniques. His primary research interests include: Static and dynamic program analysis Abstract interpretation Type systems and effect systems Concurrent and higher-order programming languages WebAssembly security and analysis Interpreter and framework design Stiévenart's recent publications demonstrate a strong focus on compositional and modular analysis techniques, particularly applied to WebAssembly. His work addresses critical security concerns in WebAssembly, including information flow analysis, binary analysis, and vulnerability detection. He has also contributed to frameworks for static analysis of higher-order languages and techniques for improving analysis performance through parallelism and incremental computation. His academic service includes extensive peer review activities and program committee membership for major conferences including SAS, SCAM, ICFP, ECOOP, and OOPSLA, with a particular emphasis on artifact evaluation committees. Stiévenart has developed several research tools including Wassail (a static analysis tool for WebAssembly security), MAF (a framework for modular static analyses), and Scala-AM (a framework for developing static analyses in Scala).

Sourya RoyView profile

Assistant Professor

• Theoretical Computer Science
• Pseudorandomness
• Coding Theory
• +4 more

Sourya Roy is an Assistant Professor in the Department of Computer Science at the University of Iowa. Prior to his academic career, he worked as a Data Scientist at Foursquare. He earned his PhD in Computer Science from the University of California, Riverside in 2022, advised by Silas Richelson and Amey Bhangale. Education: PhD in Computer Science (University of California, Riverside, 2022) His research spans theoretical and applied domains, focusing on pseudorandomness, coding theory, and cryptography in theoretical computer science, while also contributing to computer vision and machine learning applications. Recent publications emphasize expander graph theory, coding algorithms, and spatio-temporal modeling. Dr. Roy is actively seeking PhD students to collaborate on theoretical computer science projects. His publications highlight expertise in pseudorandomness, expander graphs, and scalable unsupervised learning techniques. Key conferences include FOCS, ECCV, and IEEE Transactions on Information Theory.

Alfredo De SantisView profile

Professor

• Data Security
• Cryptography
• Digital Forensics
• +4 more

Alfredo De Santis is a Professor and Director of the Dipartimento di Informatica at the Università degli Studi di Salerno. His research focuses on Data Security, Cryptography, Digital Forensics, and Communication Networks. He has authored numerous publications in top-tier journals and conferences, contributing to advancements in secret sharing schemes, cryptographic protocols, and privacy-preserving systems. His work bridges theoretical foundations with practical applications, including secure mobile communications, data compression, and IoT security. Key research interests include secure protocols, algorithm design, and the application of information theory to cybersecurity challenges. He has developed innovative solutions for entity authentication, distributed systems security, and privacy threats in mobile devices. His contributions span academic leadership, curriculum development in Data Security courses, and collaboration on projects like "Blockchain in Healthcare" and "Anti-Forensics Techniques". Publications highlight his expertise in hierarchical key management, secure data streaming, and cryptographic schemes. Recent works address fake news propagation modeling, privacy attacks exploiting smartphone sensors, and secure cloud storage solutions. His research emphasizes both theoretical rigor and real-world applicability across domains like healthcare, IoT, and digital forensics.

• Software Security
• Systems Security
• Smart Contract Security
• +5 more

Lucas Vincenzo Davi is a Professor of Computer Science at the University of Duisburg-Essen and Director of the paluno - the Ruhr Institute for Software Technology . He leads the SYSSEC research group and is a Principal Investigator (PI) in the SFB CROSSING and CASA excellence cluster. His work focuses on practical software and systems security, including memory corruption vulnerabilities, exploit mitigation, and blockchain smart contract security. Davi holds an ERC Starting Grant for Smart Contract Security research. Education: PhD in IT Security, TU Darmstadt (2011–2015), Dissertation: "Code-Reuse Attacks and Defenses" Master of Science in IT Security, Ruhr-Universität Bochum (2007–2009) Diplom (FH) in Business Informatics, FOM Neuss (2003–2007) Research: Davi's work emphasizes real-world security challenges like runtime attacks, trusted execution environments (TEE), and secure embedded systems. His contributions include Wemby (WebAssembly security analysis), HCC (smart contract hardening), and rowhammer mitigations like CATT. His research has influenced industry practices, e.g., Microsoft EMET v5.1 improvements. Awards: Best Teacher Award (2025) Finalist German IT Security Prize (2022, 2020) ACM SIGSAC Dissertation Award (2016) CAST Förderpreis (2010) Grants & Leadership: ERC Starting Grant (Smart Contracts), SFB CROSSING PI, CASA Cluster PI, and leadership in interdisciplinary initiatives like Nano Security (DFG Priority Program). Labs/Teams: Director of paluno, SYSSEC group leader, and collaborator in projects like HERA (hotpatching for embedded systems) and DMA’n’Play (DMA-based attestation).

• System Security
• Privacy
• Cybersecurity
• +3 more

Elias Athanasopoulos is an Associate Professor at the Department of Informatics, University of Cyprus. He holds a PhD in Computer Science from the University of Crete (2011), with prior academic roles including Assistant Professor at Vrije Universiteit Amsterdam (2015–2016). His research focuses on system security and privacy, with notable contributions in memory safety, fuzzing frameworks, browser security, and hardware-assisted defenses. He has received prestigious awards including the Best Paper Award at IEEE European Symposium on Security and Privacy (2020) and Outstanding Paper Award at ACM CODASPY (2016). Education: B.A. in Physics (University of Athens, 2005), MSc and PhD in Computer Science (University of Crete, 2006–2011). Fellowships include Marie Curie (Columbia University, 2011–2013) and FORTH (2014). His work spans over 30 peer-reviewed publications in top-tier conferences like USENIX Security, IEEE S&P, and ACM CCS. Key research areas include memory safety in Rust binaries, evading NLP systems via Unicode exploits, and mitigating network-based Rowhammer attacks. His projects often bridge software/hardware boundaries, such as GPU-based cryptographic operations (PixelVault) and hardware-enforced control-flow integrity (HCFI).

• Empirical Corporate Finance
• Household Finance
• Finance
• +3 more

Poorya Kabir is an Assistant Professor of Finance at the National University of Singapore (NUS) Business School since January 2022. His research focuses on empirical corporate finance and household finance, particularly on how corporate finance impacts real economic outcomes like product markets and investment. He employs economic empirical methods combined with micro-data analysis. Education: Ph.D. in Finance, Columbia Business School (2020) M.Sc. in Applied Mathematics, Sharif University of Technology (2014) B.Sc. in Electrical Engineering and Mathematics, Sharif University of Technology (2012) Research Interests: Empirical Corporate Finance and Household Finance with a focus on real-world economic implications. His work spans topics like consumer credit disparities, export credit agencies, and capital allocation efficiency. Teaching Interests: Corporate Finance No scientific awards or grants explicitly mentioned in the text. No recorded advisees or research teams are listed.

Kevin BönischView profile

Researcher

• Artificial Intelligence
• Natural Language Processing
• 3D Visualization
• +7 more

Kevin Bönisch is a researcher at the Text Technology Lab, Goethe University Frankfurt. With a background in software development (5 years as C# .NET full-stack developer) and concurrent Master's studies in Computer Science, he bridges practical software engineering with academic research through projects like the Unified Corpus Explorer and Viki LibraRy virtual reality systems. His work spans NLP, 3D visualization, and machine learning applications. DFG New Data Spaces program contributor Kaggle competition participant GitHub demonstrator Research focuses include annotation-based corpus exploration , causal inference in LLMs , and collaborative hypertext systems . His 2025 NAACL Best Demo Paper showcased UCE system innovations, while 2024 LIRAI workshop work demonstrated legal document retrieval via SVR ensembles. Notable awards include IAV-Coding competition first place , DESIGNRUSH website design recognition , and Goethe-University Innovation Prize finalist . Key projects: ROBERT dialogue system , BIOfid biodiversity service , and Bundestags-Mine legislative analysis .

• Software Engineering
• Machine Learning Systems Engineering
• Software Design Patterns
• +14 more

Hironori Washizaki is a Professor in the Department of Computer Science and Engineering at Waseda University, Japan. He is a leading researcher in software engineering with a focus on software design patterns, machine learning systems, cybersecurity, and software quality. His primary research interests include: Software Engineering Machine Learning Systems Engineering Software Design Patterns AI and ML Security Requirements Engineering for AI Systems Natural Language Processing for Software Engineering Software Quality and Reliability Empirical Software Engineering His recent publications (2023–2025) reveal a strong trend toward integrating AI and machine learning into software engineering practices. Key themes include prompt engineering patterns in software development, automated log anomaly detection, vulnerability analysis using NLP techniques, modeling frameworks for ML systems, and gender studies in software engineering. His work combines theoretical modeling with empirical validation and practical application. Notable scientific contributions and activities include: Guest editorial for IEEE Transactions on Emerging Topics in Computing on software aging and rejuvenation Organizing and contributing to workshops on SQuaRE, gender in software engineering, and ML systems engineering Leadership roles in IEEE Computer Society Extensive collaboration with researchers at Waseda and internationally He advises students and leads research on topics such as automated program repair, data-driven personas, bug fixing time analysis, and educational tools for programming. His work often involves interdisciplinary collaboration across software engineering, AI, and cybersecurity domains. He is involved in several research labs and teams focused on software engineering innovation, including groups working on: Software patterns and architecture AI/ML engineering Security and privacy in cloud and IoT Empirical studies in software development Educational technology and programming pedagogy

Sascha HusaView profile

Associate Professor

• Numerical Relativity
• Gravitational Wave Phenomenology
• Black Holes
• +5 more

Sascha Husa is an Associate Professor at the University of the Balearic Islands, specializing in numerical relativity, gravitational wave phenomenology, and black hole physics. He leads waveform modeling efforts for gravitational wave detection and contributes to international collaborations like LIGO. PhD in Theoretical Physics (University of Vienna, 1998) Habilitation (University of Jena, 2006) His research focuses on modeling gravitational wave sources using high-performance computing, with applications in binary black hole systems. The resulting waveform models are standard tools for gravitational wave event identification. He is co-PI of the UIB gravitational wave project (FPA2016-76821-P), a LIGO Council member (since 2015), and associate of ICTS Bangalore (since 2014). His scientific contributions include over 200 publications with >3,500 citations and h-index >80. Fellow of the European Gravitational Observatory (2007-2008) Husa has taught courses like Relativity and Geometry , Gravitational Waves , and Black Holes at the Master's and undergraduate levels. His group contributes to open-source simulation software through the Institute of Applied Computing with Community Code (IAC3).

Alicia Magdalena Sintes OlivesView profile

Professor

• Gravitational Wave Astronomy
• Neutron Stars
• Black Holes Binary Systems
• +4 more

Alicia Magdalena Sintes Olives is a Full Professor in Theoretical Physics at the University of the Balearic Islands (UIB), where she joined in 2002 as an Associate Professor. She directs the Institute of Applied Computing with Community Code (IAC3) and leads the Gravitational Physics, Astrophysics & Computation Lab (LaGAC) as a main researcher. Her work centers on gravitational wave astronomy, focusing on neutron stars, black hole binaries, and space missions like LISA. LIGO Scientific Collaboration Principal Investigator (2002–present) Member of LIGO-LSC Council and LIGO Science Program Committee Co-chair of LIGO-Virgo Continuous Waves Data Analysis Search Group (2016–2018) Her research involves detector commissioning, parameter estimation studies for LISA, and contributions to the Einstein@home project. She has managed projects like PID2019-106416GB-I00 and represented Spain in international collaborations. She teaches courses including Gravitational Waves and Differential Equations I. Gravitational Wave Astronomy : Expertise in neutron stars, black holes, and interferometric detectors Leadership Roles : Secretary of UIB’s Physics PhD program, member of ESA’s Fundamental Physics Advisory Group (2007–2009) Outreach & Education : Organized conferences (IGWM 2018, LISA Astro-GR@Mallorca 2011) and served as editor of Astroparticle Physics