جست‌وجوی استاد و پژوهشگر

Joshua Lequieuمشاهده پروفایل

استادیار

• Computational Materials Science
• Soft Matter
• Biomaterials
• +۴ مورد دیگر

Joshua Lequieu is an Assistant Professor in the Department of Chemical and Biological Engineering at Drexel University. His research focuses on developing predictive multi-scale models of nano-structured soft matter, bridging atomistic, coarse-grained, and field-theoretic simulations to address challenges in materials science and biological systems. He holds a Ph.D. in Molecular Engineering from the University of Chicago (2017), an M.S. in Chemical Engineering from the University of Wisconsin-Madison (2013), and a B.S. in Chemical Engineering from Cornell University (2010). Education : Ph.D., Molecular Engineering, University of Chicago (2017) M.S., Chemical Engineering, University of Wisconsin-Madison (2013) B.S., Chemical Engineering, Cornell University (2010) Dr. Lequieu’s research spans block polymer self-assembly, nanoporous materials, and chromatin structure prediction. His lab develops novel simulation techniques combining field-theoretic and molecular dynamics methods to model polymer systems across length scales, with applications in energy, human health, and advanced materials. Recent work explores molecular chirality and non-equilibrium processing for expanding block copolymer phase diversity. Scientific trends in his publications include multi-scale modeling of soft materials, computational approaches for chromatin organization, and simulation algorithm development. His 2025 articles on AB2 star polymers and Bayesian optimization highlight these themes. Scientific Awards : NSF CAREER Award (2024) Charles E. Kaufman Foundation New Investigator Award (2021) Edward J. Kramer Prize in Materials (2019) William Rainey Harper Dissertation Fellowship (2017) Genentech George Scheele Award (2008) Dr. Lequieu advises graduate students in chemical engineering and biological materials, with a lab actively pursuing computational tool development for field-theoretic simulations (OpenFTS) and chromatin modeling. His group has secured grants including the NSF CAREER award to advance chemically specific polymer models. The Lequieu Lab generates open-source simulation software (OpenFTS, fieldkit) and maintains active collaborations in computational materials science and chromatin biology.

Christoph Csallnerمشاهده پروفایل

استاد

• Program Analysis
• Automated Bug Finding
• Software Security
• +۴ مورد دیگر

Christoph Csallner is a Professor in the Computer Science and Engineering Department at the University of Texas at Arlington (UTA). He previously worked at Google and Microsoft Research and holds a Diplom-Informatiker degree from Universität Stuttgart, Germany, and M.S. and Ph.D. degrees in Computer Science from Georgia Tech. His research has received numerous best paper awards at top software engineering conferences including ASE, ISSTA, and ISSRE. Dr. Csallner's research interests focus on software engineering, with particular expertise in program analysis, automated bug finding, software security, and mobile software development. His work bridges theoretical foundations with practical applications, developing tools that have real-world impact in improving software quality and security. Recent research has concentrated on analyzing Simulink models for cyber-physical systems, mobile app screen search and generation, and applying deep learning techniques to software testing problems. His publications show a consistent trajectory of innovation in software testing and analysis, with recent work exploring the intersection of machine learning and software engineering. The research spans from foundational program analysis techniques to practical tools addressing challenges in mobile development and cyber-physical systems. His work on Simulink model analysis has created valuable resources for the research community, including large open-source corpora of Simulink models. Scientific awards include: Best Paper Award at IEEE ISSRE 2010 ACM SIGSOFT Distinguished Paper Awards at ISSTA 2006 and 2012 Best Paper Award at PPREW 2014 ACM SIGSOFT Distinguished Paper Awards at ASE 2007 and 2015 Distinguished Referee Award at ASE 2019 Dr. Csallner has successfully advised numerous Ph.D. and Master's students who have gone on to prominent positions at companies like Meta, Google DeepMind, and Bloomberg. His research has been funded by the National Science Foundation, MathWorks, the Alzheimer's Association, and other organizations. He leads the Software Engineering Research Center (SERC) lab at UTA, where his team develops innovative tools for software analysis, testing, and development.

Istvan Davidمشاهده پروفایل

استادیار

• Digital Twins
• Model-Driven Engineering
• Sustainability
• +۷ مورد دیگر

Istvan David is an Assistant Professor of Software Engineering at McMaster University's Faculty of Engineering, Department of Computing and Software, where he leads the Sustainable Systems and Methods Lab (SSM) and works as a researcher in the McMaster Centre for Software Certification (McSCert). His work bridges the gap between model-driven engineering, digital twins, and sustainability in systems engineering. Dr. David's research interests focus on digital twins , model-driven engineering , sustainability in computing, cyber-physical systems , and collaborative modeling . His lab develops novel reinforcement learning techniques , digital twin architectures , and modeling and simulation methods with a strong emphasis on sustainability as both a system characteristic and an engineering principle. His recent publications reveal a strong trend toward integrating digital twin technology with sustainability concerns, particularly in automotive systems, smart farming, and resource-efficient software engineering. The research spans from foundational modeling techniques to applied solutions addressing the four essential sustainability dimensions of technical systems: technical (long-term usage), economic (financial viability), environmental (reduced impact), and social (elevated utility). Scientific Awards: Best Practice Paper Award at MODELS Best Paper 2024 Runner-up in the Journal of Computer Languages Dr. David actively mentors students including PhD candidate Xiaoran (Sharon) Liu, and has supervised undergraduate researchers like Adwita Kashyap and Kyanna Dagenais. He has secured multiple research grants supporting work on sustainable systems and digital twin technologies, with applications in automotive engineering, smart farming, and resource-efficient computing. His lab collaborates with industry partners and academic institutions worldwide, including VU Amsterdam and University of Montréal. The Sustainable Systems and Methods Lab focuses on the vision of 'sustainable systems by sustainable methods,' addressing the growing problem of unsustainable systems engineering practices. The lab's work on bipartite sustainability aims to both build sustainable systems and develop systems using sustainable methods.

• Electrochemistry
• Organic Chemistry
• Biochemistry
• +۳ مورد دیگر

Dr Jon Wilden serves as Associate Professor in Chemistry within the School of Life Sciences at the University of Sussex, where he leads research at the intersection of organic electrochemistry, bioimaging, and sustainable synthesis. His work bridges fundamental mechanistic studies with practical applications in pharmaceutical analysis and green chemistry. His research portfolio emphasizes: Electrochemical Methodology Development : Creating sustainable alternatives to traditional synthesis through electrochemical radical reactions, amide preparation, and copper acetylide formation Bioimaging Probe Design : Engineering BODIPY fluorophores with tailored spectroscopic properties for cellular imaging applications Mechanistic Elucidation : Using electrochemical and spectroscopic techniques to unravel reaction pathways in peptide modification and enzymatic processes Educational Innovation : Developing open-access computational resources for drug design education With over 60 publications since 2015, Professor Wilden's recent work (2020-2024) demonstrates increasing industrial relevance through therapeutic product analysis, patentable electrochemical methods, and educational resources adopted internationally. His publications consistently appear in high-impact chemistry journals with strong citation metrics, reflecting significant contributions to green chemistry and chemical education. He actively mentors graduate students through research projects in electrochemical synthesis and bioimaging, while securing research funding evidenced by consistent publication output. Though no dedicated laboratory name is specified, his research group operates within the Department of Chemistry's facilities, collaborating across disciplines to advance sustainable chemical methodologies.

Floris Ernstمشاهده پروفایل

استاد

• Signal processing and analysis for biomedical applications
• Sensors for robotics
• Motion tracking and recognition in medical technology
• +۴ مورد دیگر

Prof. Floris Ernst serves as Professor of Medical Robotics at the Institute for Robotics and Cognitive Systems, University of Lübeck, where he has been faculty since 2017 after joining as a research associate in 2013. He holds significant leadership roles including membership on the Steering Committee of the Graduate School 'Computing in Medicine and Life Sciences' and editorial positions with IEEE Robotics and Automation Letters and Frontiers in Robotics and AI. His research spans medical robotics , signal processing for biomedical applications , sensors for robotics , and augmented reality in surgery . Key projects include SonoBox (robotic ultrasound for pediatric fracture diagnosis), TWIN-WIN (digital supertwin technology), and robotics applications in rescue medicine. His work consistently bridges theoretical algorithm development with clinical implementation, focusing on real-world medical challenges. Prof. Ernst's recent publications (2023-2025) demonstrate strong activity across medical imaging, rescue robotics, and navigation systems. Trends show increasing focus on deep learning applications in medical imaging, real-time motion tracking for radiosurgery, and autonomous systems for emergency response. His work frequently appears in top robotics and medical imaging venues including IEEE conferences and journals. IEEE Senior Member Associate Editor, IEEE Robotics and Automation Letters (Medical Robotics) Associate Editor, Frontiers in Robotics and AI (Biomedical Robotics) As an active supervisor, Prof. Ernst guides students through courses like Medical Robotics (CS4270) and Bachelor/Master projects, with numerous publications co-authored with students. His lab maintains strong industry and clinical collaborations, particularly in medical device development and clinical robotics applications. The Robotics Laboratory (RobLab) serves as the primary research environment for his team's work on medical and rescue robotics systems.

Michał Baranowskiمشاهده پروفایل

مدرس

• microwave filters
• design optimization
• electronic design automation
• +۳ مورد دیگر

Michał Baranowski serves as an Assistant lecturer at the Department of Microwave and Antenna Engineering within the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology since 2021. He is simultaneously pursuing his PhD at the same institution, demonstrating a strong commitment to both teaching and research in microwave engineering. His research interests focus on advanced microwave component design, particularly in the areas of microwave filters, design optimization techniques, electronic design automation, finite element method applications, computational electromagnetics, and specialized microwave design methodologies. His work bridges theoretical concepts with practical manufacturing approaches, especially regarding additive manufacturing techniques for microwave components. Baranowski's publication record (13 papers from 2020-2025) reveals a clear research trajectory centered on innovative approaches to microwave filter design and waveguide component manufacturing. His most recent work (2024-2025) emphasizes 3D-printed microwave components, shape deformation techniques for resonator design, and methods to improve surface quality of additively manufactured waveguides. This research has direct applications in satellite communications, Earth observation systems, and 5G technology infrastructure. His technical expertise spans computational electromagnetics, optimization algorithms, and advanced manufacturing techniques for high-frequency components, with a particular emphasis on making these technologies more accessible through open platform tools and cost-effective manufacturing approaches. As an active researcher and educator, Baranowski contributes to both the theoretical advancement and practical implementation of microwave engineering solutions, with his work appearing in prestigious journals including IEEE Microwave and Wireless Technology Letters, IEEE Transactions on Microwave Theory and Techniques, and IEEE Access.

Carmen Bernierمشاهده پروفایل

استاد

• Information Systems
• IT Management
• Enterprise Resource Planning (ERP)
• +۵ مورد دیگر

Carmen Bernier serves as Full Professor and Dean of the Faculty of Music at Laval University, with additional affiliation to the Department of Organizational Information Systems in the Faculty of Business (FSA). Her academic career bridges music administration and business information systems, reflecting in her cross-disciplinary research and leadership roles. Her educational background includes: Doctorate in Information Systems and Strategies (Ph.D.) from HEC Montréal Master of Business Administration (MBA) in Information Systems from Laval University Bachelor of Business Administration (BBA) from Laval University Professor Bernier's research examines critical intersections of technology and organizational management, with particular expertise in IT project leadership, ERP implementation challenges, and open source software adoption. Her work analyzes how contractual relationships, geographic distance, and agile methodologies interact in system development contexts. She investigates leadership dynamics in technology sourcing decisions and the governance frameworks required for effective information resource management across multinational organizations. Her publication record demonstrates consistent scholarly output from 1989-2016, characterized by practical case study analyses of real-world business technology implementations. This research trajectory reveals evolving focus from foundational system development uncertainty studies to contemporary challenges in distributed agile projects and open source business adoption. As Dean of the Faculty of Music, she applies her organizational expertise to academic leadership while maintaining active research engagement in information systems. Her dual appointment exemplifies the growing integration of technology management principles across diverse academic disciplines and administrative functions.

Nicolas Garcelonمشاهده پروفایل

پژوهشگر

• Biomedical data science
• Translational research
• Clinical informatics
• +۳ مورد دیگر

Nicolas Garcelon leads the data science platform at the Imagine Institute , specializing in developing biomedical data infrastructure for translational research between hospitals and research institutions. The platform manages 82 phenotypic databases covering 480,000 patients and has developed multiple software tools including eCohorte for database creation, BioPancarte for lab result visualization, and Dr. Warehouse for comprehensive clinical data integration. Director of a platform managing 36 million biological results Developed software registered with Program Protection Agency Open-source contributor with GNU GPL licensed Dr. Warehouse His research focuses on automated phenotypic data processing , clinical text mining , and patient similarity metrics for rare disease diagnosis. The platform enables Google-like search across 4 million clinical documents and provides diagnostic support through patient similarity calculations. Key publication themes include: Biomedical data warehouse architecture Phenotypic similarity algorithms Clinical decision support systems Unstructured clinical data processing Rare disease patient recruitment As part of the Necker-Enfants Malades Hospital collaboration, his team manages a data warehouse containing: 4 million clinical documents 36 million biological results 35 million extracted phenotypes Over 1000 completed studies

• Molecular Dynamics
• Theoretical Chemistry
• QM/MM Models
• +۳ مورد دیگر

Prof. Dr. Bettina G. Keller is a Professor of Theoretical Chemistry at Freie Universität Berlin, leading the Keller Lab in the Department of Physical and Theoretical Chemistry. Her research integrates molecular dynamics simulations, QM/MM models, and kinetic analyses to study biomolecular systems, chemical reactions, and allosteric mechanisms. She collaborates extensively within SFB consortia and GRK research training groups. Her work spans: Development of grid-based models for molecular association Allosteric regulation in pathogen toxins Fluorination effects on protein-ligand interactions Glycopeptide hydrogel design Advanced sampling algorithms like Girsanov reweighting She has received multiple honors including the Hellmann-Preis (2018) and memberships in elite academies. Current projects involve: SFB 1449: Dynamic hydrogels at biointerfaces GRK 2662: Charging in the future VW Momentum: Molecular mobility Her lab maintains strong computational resources and open-source tools for the scientific community.

Jie Luمشاهده پروفایل

دانشیار

• Software Security
• Program Analysis
• Vulnerability Detection
• +۵ مورد دیگر

Jie Lu is an Associate Professor at the Institute of Computing Technology of the Chinese Academy of Sciences (ICT, CAS), where he leads research in software security and program analysis. His work focuses on developing advanced program analysis techniques to improve software reliability and security, with applications in cloud systems, distributed environments, and modern web applications. Dr. Lu's research interests include: Software Security: Focusing on vulnerability detection and prevention in open-source software Program Analysis: Specializing in static/dynamic analysis techniques and context-sensitive pointer analysis Cloud Systems: Researching distributed system security, crash-recovery, and concurrency bug detection His recent publications demonstrate a strong focus on practical security solutions for real-world systems. The research spans Kubernetes ecosystems, PHP applications, Linux kernel security, Java web applications, and Windows IPC systems. A notable trend is the development of precise static analysis techniques that balance efficiency with accuracy, addressing the longstanding challenge in program analysis. His work often bridges theoretical advances with practical implementations that have been adopted by industry. Dr. Lu has received several prestigious awards: ACM SIGSOFT Distinguished Paper Award 2025 Best Paper Honorable Mention at CCS 2022 Chinese Academy of Sciences Outstanding Doctoral Dissertation 2021 Chinese Academy of Sciences President's Special Award 2020 ICT New Hundred Stars 2020 Dr. Lu actively mentors students and researchers, recruiting PhD candidates, Master students, and research interns interested in software security and program analysis. His research has been supported by the National Natural Science Foundation of China, CCF-Huawei Innovation Research Plan, and CCF-Ant Research Fund. The Program Analysis Group (ICT-PAG) at the National Key Laboratory of Processor has successfully identified numerous errors and vulnerabilities in popular open-source applications, with over 200 severe bugs confirmed by the open-source community and assigned more than 100 CVE numbers. His research group, the Program Analysis Group (ICT-PAG), is based in the National Key Laboratory of Processor at ICT, CAS. The group has achieved significant impact through both academic publications in top venues (SOSP, CCS, USENIX Security, NDSS, OOPSLA, ISSTA, FSE, ASE, TSE) and practical applications in leading IT companies and government organizations.

Lian Liمشاهده پروفایل

استاد

• Program analysis
• Software security
• Software engineering
• +۴ مورد دیگر

Lian Li is a Professor in the Institute of Computing Technology at the Chinese Academy of Sciences, where he leads the program analysis research group. He holds a PhD from the University of New South Wales, Australia, and a Bachelor's degree from Tsinghua University in Engineering Physics. His research focuses on developing innovative program analysis techniques and tools to enhance software reliability and security. His educational background includes a PhD in Computer Science from the University of New South Wales (2003-2007) with a thesis on "ScratchPad Management for Static Data Aggregates" under Professor Jinling Xue, and a Bachelor's degree in Engineering Physics from Tsinghua University (1993-1998). Lian Li's research primarily centers on program analysis techniques, particularly static analysis methods for software security and reliability. His group developed Wukong, a static analysis and detection system capable of identifying deep security vulnerabilities across functions, components, and complex dependencies in C/C++, Java, and Android applications. This tool has discovered thousands of errors in popular open-source software including Google Chromium, Bash, sed, and Hadoop, with hundreds confirmed by developers and over 50 CVEs assigned. His publication record shows a strong focus on program analysis, particularly context-sensitive pointer analysis, taint analysis, and vulnerability detection. His recent work (2021-2024) demonstrates continued innovation in context-free language reachability, efficient IFDS algorithms, and specialized analysis for generics and authorization vulnerabilities. His research spans cybersecurity, programming languages, and software engineering domains, with emphasis on practical applications for real-world software systems. ASE 2019 Distinguished Paper Award CCS 2022 Best Paper Honorable Mention Lian Li has guided numerous PhD and Master's students in computer system architecture and software theory. His research group maintains active collaborations across various software analysis domains, with funding supporting their work on tools like Wukong. They have developed significant intellectual property including multiple patents related to program analysis techniques. The program analysis research group he leads focuses on developing practical tools for software reliability and security. Their work bridges theoretical program analysis with real-world applications, particularly through the Wukong analysis system which has been successfully applied to major open-source projects.

José Luis Alonso Berrocalمشاهده پروفایل

استاد

• Information Retrieval
• Web Cybermetrics
• Digital Libraries
• +۵ مورد دیگر

Professor José Luis Alonso Berrocal is affiliated with the University of Salamanca, where he works in the Department of Computer Science and Automation within the Faculty of Engineering. His research spans information systems, web technologies, and educational applications of computer science. Dr. Berrocal earned his PhD from the University of Salamanca with a thesis titled "Cibermétricos. Análisis de los dominios web españoles" (2001), supervised by Dr. Luis Carlos García de Figuerola Paniagua. His academic journey has positioned him at the intersection of computer science and information systems. His research interests focus on Information Retrieval , Web Cybermetrics , Digital Libraries , and Educational Technology . Dr. Berrocal has made significant contributions to understanding web structure, information retrieval systems, and the application of technology in education. His work often bridges theoretical computer science with practical applications in academic and research settings. Analysis of his publication history shows a consistent focus on information retrieval systems and web analysis techniques. His early work centered on foundational tools like SACARINO (a web crawling and processing system), while more recent research examines the structure of institutional websites, particularly in biomedical research centers. He has explored both theoretical aspects of information retrieval and practical implementations using libraries like Lucene. Active researcher in the SOCIOLOGICAL ANALYSIS GROUP Member of the UNIVERSITY INSTITUTE FOR SCIENCE AND TECHNOLOGY STUDIES PhD School affiliation: Logic and Philosophy of Science

Yassine Ouhammouمشاهده پروفایل

دانشیار

• Real-Time Systems
• Embedded Systems
• Model-Based Design
• +۶ مورد دیگر

Yassine Ouhammou is an Associate Professor in computer science at École Nationale Supérieure de Mécanique et d'Aérotechnique (ENSMA), where he is a member of the "Real-Time and Embedded Systems" research team at LIAS laboratory. His work focuses on critical real-time embedded systems with applications in avionics, drones, and control command systems. His research interests include: Software architectures for critical real-time embedded systems Design and analysis of critical real-time systems regarding their temporal performances Model-based design using domain specific languages (MoSaRT, AADL, Capella, Time4Sys) Real-time scheduling and dimensioning Knowledge repositories for expertise capitalization, reuse and reproducibility Collaborative engineering for complex systems design Model-driven engineering and formal methods Dr. Ouhammou's publication record shows consistent contributions to real-time systems, embedded architectures, and model-based approaches. His recent work demonstrates increasing emphasis on drone technology and avionic applications, with numerous collaborations on autopilot design, scheduling optimization, and verification methodologies. His research bridges theoretical computer science with practical aerospace engineering challenges, addressing safety-critical aspects of embedded systems. Professional service includes: PC Member of MEDES 2020, INISTA 2020, WIMS, SADASC 2020 PC Chair of DETECT 2019 General Co-Chair of RTNS 2018 PC Member of multiple international conferences since 2017 Dr. Ouhammou collaborates extensively with researchers in the field of real-time systems, particularly with Emmanuel Grolleau and other members of the LIAS laboratory. His work often involves interdisciplinary teams addressing complex challenges in aerospace and embedded systems engineering, with practical applications in drone technology and avionic systems.