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Christophe HauserView profile

Assistant Professor

• Software Security
• Program Analysis
• Formal Methods
• +8 more

Christophe Hauser is the Speers Family Assistant Professor of Computer Science at Dartmouth College and a member of the Meeting New Challenges of Cybersecurity Cluster. His research focuses on software security, particularly in developing models to analyze cyber attacks and defenses across software and hardware boundaries. He previously served as a Research Lead and founded the Binary Analysis and Systems Security (BASS) group at the University of Southern California’s Information Sciences Institute (USC-ISI) and was a postdoctoral researcher at the University of California, Santa Barbara’s Seclab. Hauser holds a joint PhD from CentraleSupélec in France and Queensland University of Technology in Australia, combining expertise in computer science and cybersecurity. His research interests include software security, program analysis, formal methods, machine learning applications in vulnerability discovery, and privacy-preserving systems. He specializes in binary code and firmware analysis, reverse engineering, and intrusion detection systems. Hauser’s recent work emphasizes automated fuzzing techniques, static and dynamic analysis of binary executables, and privacy-preserving solutions. His projects often bridge theoretical foundations with practical applications, such as improving vulnerability detection through neuro-symbolic methods and enhancing system security against DoS attacks. He has led initiatives such as the BASS group and contributed to the angr binary analysis platform. His work has resulted in impactful datasets like BinPool and tools like BinHunter for vulnerability localization.

Deborah Roan SmithView profile

Professor

• Molecular Systematics
• Social Arthropods
• Population Genetics
• +3 more

Dr. Deborah Roan Smith is a Professor in the Department of Ecology and Evolutionary Biology at the University of Kansas. Her research focuses on molecular systematics and social arthropods, particularly spiders and honey bees. She collaborates internationally, including with institutions in Israel, Thailand, and Nepal. Key areas include population genetics of social spiders (e.g., Stegodyphus ), biogeography of honey bees ( Apis species), and coevolution between bees and parasites like Varroa . Education and Research: Her work integrates field studies and molecular techniques. Major projects involve studying colonial spider behavior, identifying new spider species in Thailand, and investigating honeybee diversity in Asia. She has published extensively on topics like spider social behavior, honeybee phylogeny, and conservation challenges in apiculture. Grants and Labs: While specific grants are not listed, her research likely involves funding from international collaborations. No lab teams are explicitly mentioned, but her work engages with global partners like the University of the Negev and Chulalongkorn University.

Toby MurrayView profile

Professor

• Security
• Program Verification
• Formal Methods
• +4 more

Professor Toby Murray is a faculty member at the University of Melbourne's School of Computing and Information Systems, where he serves as Director of the Defence Science Institute and Co-Lead of the Computer Science Research Group. He holds a D.Phil. in Computer Science from the University of Oxford (2011) and previously worked at NICTA/Data61 and UNSW. His research focuses on security verification , neural network robustness , and software security , with projects including Verisimilar (verified secure ML), EDEFuzz (API vulnerability detection), and COVERN (concurrent program security). His work bridges formal methods with practical cybersecurity challenges, particularly in adversarial environments. Publication trends show consistent contributions in formal verification (35% of recent papers), security testing (30%), concurrency models (20%), and neural network security (15%), with evolving focus toward AI safety and web API vulnerabilities. Distinguished Paper Award at ICSE 2024 He leads a research group with 7+ PhD students and postdocs, focusing on cybersecurity assurance and collaborative fuzzing techniques. His team develops tools like Legion (test case generation) and Underflow (vulnerability detection).

Peisen YaoView profile

Researcher

• Program Analysis and Verification
• Program Synthesis and Optimizations
• Logic and Automated Reasoning
• +2 more

Peisen Yao is an academic researcher affiliated with Zhejiang University in China. His work spans programming languages, software engineering, and cybersecurity, with a focus on developing techniques to enhance software security, usability, and performance. He actively contributes to premier conferences as a committee member (e.g., PLDI, ICSE, ASE, ISSTA, OOPSLA, SAS). Research Focus: Yao's research integrates program analysis, verification, synthesis, and optimization. Key areas include: Advanced static analysis for security vulnerabilities (e.g., buffer overflows, divide-by-zero errors) Efficient symbolic abstraction and SMT solver testing Context-sensitive program analysis using formal language theory Automated invariant generation and code synthesis Publication Trends: His 15 most recent articles (2021–2025) emphasize scalable program analysis techniques, security validation, and practical tools for industry applications. Common themes include static analysis optimizations, formal verification, and novel testing methodologies for complex systems.

• Microbiology
• Parasitology
• Microsporidia
• +4 more

Hicham El Alaoui is a Professor in the Faculty of Biology at Clermont Auvergne University, specializing in microbiology and parasitology. His primary affiliation is with the Laboratoire Microorganismes: Génome et Environnement (LMGE), a research unit focusing on microbial genomics and environmental interactions. His research interests span several interconnected fields including Microbiology, Parasitology (particularly Microsporidia), Honeybee Health, Microalgae Applications, and Host-Parasite Interactions. Dr. El Alaoui's work demonstrates a strong focus on understanding the complex relationships between microorganisms and their hosts, with particular emphasis on honeybee pathogens and potential interventions. Analysis of his recent publications reveals a consistent research trajectory centered on microsporidian parasites (especially Nosema ceranae) and their impact on honeybee health. His work increasingly examines the interactions between pesticides and parasites, the role of gut microbiota in host defense, and potential therapeutic interventions using probiotics and natural compounds. The research spans molecular mechanisms of infection to ecological implications for honeybee populations. Dr. El Alaoui has received recognition through numerous publications in high-impact journals and has contributed significantly to understanding honeybee diseases and microsporidian biology. His collaborative work extends across multiple institutions and disciplines, reflecting the interdisciplinary nature of modern microbiological research. His research program demonstrates strong continuity from fundamental studies of microsporidian biology to applied research addressing pressing issues in apiculture and environmental health. Current work shows increasing focus on integrated approaches to honeybee health that consider multiple stressors simultaneously.

Mengjie XuView profile

Assistant Professor

• Financial Accounting
• Corporate Governance
• Information Economics
• +4 more

Mengjie Xu is an Assistant Professor of Accounting at Duke University's Fuqua School of Business. Her research focuses on financial accounting, corporate governance, and information economics, particularly analyzing how information creation and dissemination influence market participant strategies and outcomes. She holds a background from Frankfurt School of Finance & Management. Key research areas include high-frequency data analysis, social media-driven insights (e.g., Reddit, Twitter), EDGAR database tracing, and Glassdoor-based workplace studies. She has developed methodologies for parsing satellite imagery, short-sale data, and SEC filings. Technical expertise spans Python, Stata, SAS, and API integrations for data collection. Her work bridges accounting theory with practical data science, emphasizing replicable workflows for complex datasets. No scientific awards are explicitly mentioned in the sources provided.

• Pharmaceutical Analysis
• Biopharmaceuticals
• Separation Science
• +3 more

Ann Van Schepdael serves as Professor at KU Leuven's Faculty of Pharmaceutical Sciences , where she leads the Pharmaceutical Analysis unit and Subdivision Drug Analysis within the Department of Pharmaceutical and Pharmacological Sciences. She additionally directs the POC Farmaceutische Wetenschappen program and contributes to multiple faculty governance bodies including the Education-Support Committee and Faculty Council. Her research focuses on advanced separation science for pharmaceutical challenges, specializing in capillary electrophoresis , chromatography , and mass spectrometry applications. Current investigations address biopharmaceutical quality testing , antibiotic stability , and cost-effective screening methods for global health contexts, with significant collaborations in Ethiopia for traditional medicine quality control. Method development emphasizes practical solutions for drug analysis in resource-limited settings. Recent publications (2024-2025) reveal a pronounced trend toward hyphenated analytical techniques (LC-MS/MS, CE-MS) applied to biopharmaceutical characterization , antibiotic quality assurance , and enzyme inhibitor discovery . Her team increasingly utilizes on-line screening platforms and automated systems for high-throughput analysis of complex matrices including human plasma and natural product extracts, with growing emphasis on sterilization impact studies and residual solvent analysis . As principal investigator, she currently manages 10 active research grants totaling over 4 years of funding: Promotor for 4 projects (2023-2027) including biopharmaceutical CE methods and Abl1 inhibitor screening Co-promotor for 6 projects (2020-2025) covering antibiotic stability, thermal desorption GC, and Ethiopian pharmaceutical quality She supervises doctoral candidates in pharmaceutical technology and analytical method development while teaching core courses in pharmaceutical analysis and bioanalysis. Her research group operates within KU Leuven's Division Center for Drug Delivery and Analysis , maintaining strong international partnerships with Ethiopian institutions for pharmaceutical quality initiatives.

• Scholarly Communication
• Open Access
• Bibliometrics
• +3 more

Josep-Manuel Rodríguez-Gairín is an Associate Professor in the Department of Library and Information Science at the University of Barcelona, Spain, where he has maintained continuous employment since May 15, 2001. His academic career centers on scholarly communication infrastructure, with expertise in open access systems, bibliometric analysis, and research data management. His research spans critical areas in Library and Information Science including global journal visibility (particularly for Global South research), open access policy compliance, predatory publishing identification, and institutional repository development. Rodríguez-Gairín has extensively analyzed Spanish academic publishing through studies of health science journals, author rights frameworks, and new journal creation patterns. His technical contributions include developing bibliographic style systems and interlibrary loan network integrations. Analysis of his 15 most recent publications reveals consistent focus on scholarly communication equity and infrastructure development. His work tracks evolving open science adoption in Spain while addressing systemic barriers like agricultural research invisibility and predatory publishing risks. Recent studies (2020-2024) emphasize journal indexing models, policy monitoring systems, and global representation in emerging citation indexes, demonstrating sustained engagement with publishing ecosystem challenges.

Mohammad Masudur RahmanView profile

Associate Professor

• Artificial Intelligence
• Software Engineering
• Software Maintenance and Evolution
• +3 more

Mohammad Masudur Rahman is an Associate Professor in the Faculty of Computer Science at Dalhousie University. His research focuses on intelligent automation of software maintenance and evolution , combining Artificial Intelligence (AI) and Software Engineering (SE) to address challenges in bug detection, diagnosis, and reproducibility. He leads the RAISE Lab , which aligns with Dalhousie’s strategic goals in Advanced AI & Digital Innovation , particularly Sustainable Software Innovation and Sustainable AI . Dr. Rahman earned his PhD in Computer Science/Software Engineering from the University of Saskatchewan (2019), advised by Prof. Dr. Chanchal Roy, and completed a postdoc at Polytechnique Montreal under Prof. Dr. Foutse Khomh. He has published 50+ papers in top venues like ICSE , ESEC/FSE , ASE , and TOSEM , with research funded by NSERC Discovery Grant, Mitacs Accelerate International, and Dalhousie Startup Fund. His work investigates the challenges of software bugs, crashes, vulnerabilities, and technical debt , particularly in AI-driven systems like Large Language Models and Deep Learning frameworks. He develops tools to automate bug diagnosis, leveraging code structures and neural machine translation. Recent articles analyze deep learning bug reproducibility , fault diagnosis in attention models , and code smell impacts . Scientific Awards : Governor General's Gold Medal, U of S Doctoral Thesis Award, Dalhousie Belong Research Fellowship, President Gold Medal (Bangladesh). Grants : $475K+ (PI) and $4.3M+ (Co-PI) from NSERC, Mitacs, Climate Action Fund, and Dalhousie.

• Computer Science
• Semantic Web
• Decentralized Data
• +5 more

Dr. Ruben Taelman is a Senior Postdoctoral Fellow at Ghent University's Faculty of Engineering and Architecture, Department of Electronics and Information Systems. His research focuses on decentralized web technologies, knowledge graphs, and query optimization in distributed environments. FWO Senior Postdoctoral Fellow (2023–2026) Research Foundation - Flanders (FWO) funding recipient Co-promotor for multiple PhD projects Key research areas include decentralized knowledge graph querying, adaptive query planning, and semantic web technologies. His work has produced groundbreaking publications on traversal-based query execution, link prioritization metrics, and personalized data vaults. Recent publications highlight: 2025: Incremental view maintenance in decentralized environments 2025: Restart-based query planning for link traversal 2024: Shape-driven optimization and Bloom filter applications 2023–2024: Reinforcement learning for SPARQL optimization and decentralized healthcare applications

Hannes DattaView profile

Associate Professor

• Econometrics
• Digital Media Consumption
• Music Streaming
• +4 more

Hannes Datta is an Associate Professor in the Department of Marketing at Tilburg University, Netherlands. He holds dual roles within the Tilburg School of Economics and Management (TiSEM), focusing on advanced econometric models for digital media consumption and retailing. His research leverages large datasets and cloud computing, with notable contributions to understanding music streaming dynamics and marketing mix strategies. Datta has received prestigious awards including the MSI Young Scholar and NWO Veni grant. His career spans roles as Assistant Professor (2013-2018) and Associate Professor (2018-present) at Tilburg University. Teaching highlights include courses on social media research, digital marketing strategies, and data science methodologies. He has been recognized for teaching excellence with awards like Tilburg University's Teacher of the Year (2016). Research interests center on digital media's impact on consumer behavior, with projects exploring Spotify's playlist demand, web data scraping techniques, and cross-national market responses. He advises external organizations such as Stichting Onderhandelingen Thuiskopievergoeding (SONT) and Mobiel.nl. Datta actively engages in media commentary on streaming services' societal impacts and maintains a personal website (hannesdatta.com) with thesis resources (thesis.hannesdatta.com). Key contributions include over 14 peer-reviewed articles, datasets on music streaming and marketing science, and collaborations with institutions like Duke University. His work aligns with UN Sustainable Development Goals, emphasizing innovation and sustainable consumption patterns.

• Data Management
• Database Systems
• Data Discovery
• +6 more

Raul Castro Fernandez is a prominent researcher in data management and database systems, with a focus on data discovery, integration, and marketplaces. He has collaborated extensively with leading institutions and researchers, contributing to projects like Data Station and Nexus for secure data sharing. His work bridges theoretical innovation with practical implementations in cloud optimization, differential privacy, and LLM-driven data tools. Key Contributions : Data market frameworks, LLM applications in databases, differential privacy platforms Collaborators : Yue Gong, Samuel Madden, Michael Stonebraker, Eugene Wu, Kyle Chard Research Themes Fernandez explores automated metadata management for data catalogs, spatiotemporal data sharing with privacy guarantees, and LLM-based data discovery . His work on stateful stream processing (e.g., SABER system) and cost optimization in cloud analytics shows technical depth. Recent Trends 2023-2025 publications highlight his pivot toward LLM applications in data management, including tabular data representation and hypothesis assessment tools. He also investigates sustainability in HPC through carbon credit systems.

• Drug design
• Medicinal chemistry
• Computational chemistry
• +5 more

Roger Estrada Tejedor is a Full Professor at the IQS School of Engineering , Universitat Ramon Llull , where he leads the Pharmaceutical Chemistry Group (GQF) and contributes to both the Unit of Pharmaceutical Chemistry and the Unit of Continuous Chemical Processes . His academic journey includes a PhD in Pharmaceutical Chemistry (2011) from Universitat Ramon Llull, a Master's in Applied Statistics (2013) from UNED, and a Chemical Engineering degree (2006) from IQS. Academic Leadership: Accredited as a Reader by AQU (2015), he became a Full Professor in 2020. Research Focus: Computational drug design, AI-driven pharmaceutical algorithms, and targeting pathogenic RNA structures. Scientific Contributions span dual tyrosine kinase inhibitors for pancreatic cancer, allosteric CXCR4/IRAK4 modulators for lymphoma therapy, and structural simplification strategies in hit discovery. His work bridges molecular modeling with continuous manufacturing optimization, transforming batch chemical systems into efficient, sustainable processes. Collaborative projects include the Franco-Spanish PROTEOblood network addressing proteinopathies in hematological cancers.

Guanhua ChenView profile

Assistant Professor

• Natural Language Processing (NLP)
• Large Language Models (LLMs)
• Applied Machine Learning
• +4 more

Dr. Guanhua Chen is an Assistant Professor in the Department of Statistics and Data Science at Southern University of Science and Technology (SUSTech). His research focuses on Natural Language Processing (NLP), Large Language Models (LLMs), and Multimodal AI, with applications in drug discovery and urban planning. He previously earned his Ph.D. from the University of Hong Kong and B.S./M.S. from Tsinghua University, with internships at Microsoft Research Asia and Huawei Noah’s Ark Lab. Education: Ph.D. in Computer Science (University of Hong Kong, 2022), B.S. and M.S. in Computer Science (Tsinghua University, 2012 & 2014) Dr. Chen's research explores LLMs, data synthesis, multimodal systems, and model compression. He leads a lab equipped with 16 RTX 4090 GPUs, 16 L40 GPUs, and 4 A100 GPUs, providing resources for students to experiment with open-source and proprietary LLM APIs. His recent publications highlight innovations in LLM jailbreaking, parameter-efficient tuning (MiLoRA), cross-lingual transfer (mCLIP), and evaluation frameworks for robustness testing. Notably, he was awarded the Microsoft Research Asia StarTrack Scholar in 2025. Key Publications: mCLIP (ACL 2023), ImPart (ACL 2025), MiLoRA (NAACL 2025) Dr. Chen actively seeks motivated PostDoc, PhD, and Master's students. He serves as an Area Chair for ACL and EMNLP and contributes to advancing AI through open-source projects like mCLIP on GitHub.

• Mass Spectrometry
• Analytical Chemistry
• Ionization Techniques
• +4 more

Charles N. McEwen serves as Professor of Practice in the Department of Chemistry and Biochemistry, specializing in mass spectrometry innovation to achieve universal ionization capabilities for diverse compound classes including non-polar pesticides and nonvolatile biomolecules. His academic credentials include: BS from The College of William and Mary MS from Atlanta University PhD from the University of Virginia Dr. McEwen's research pioneers atmospheric pressure ionization (API) and MALDI techniques, with core objectives centered on developing ion sources for high-throughput analysis of challenging compounds. His laboratory has engineered breakthrough methods including Laserspray ionization for generating highly charged protein ions and the atmospheric solids analysis probe (ASAP) enabling rapid direct analysis of solids like melamine contaminants. These innovations address critical limitations in commercial mass spectrometers' ability to detect low-polarity compounds, with applications spanning drug discovery, metabolomics, and polymer characterization. Publication analysis reveals sustained contributions from 1981-2010 focused on instrumentation refinement, particularly in polymer analysis through solvent-free MALDI techniques and hybrid LC/GC-MS systems. His work demonstrates consistent advancement in sample preparation methodologies and ionization mechanisms across Analytical Chemistry, Journal of the American Society for Mass Spectrometry, and Science. No scientific awards were documented in the source material. The available text provides no details regarding graduate student mentorship or externally funded research grants. While specific laboratory infrastructure isn't described, his research program centers on instrument development for atmospheric pressure ionization, with emphasis on commercial MS platform integration and high-throughput analytical solutions.