جست‌وجوی استاد و پژوهشگر

Cedric du Mouzaمشاهده پروفایل

استاد

• Database Systems
• Data Mining
• Digital Humanities
• +۶ مورد دیگر

Cédric du Mouza is a full Professor within the CEDRIC Laboratory at the Conservatoire National des Arts et Métiers (CNAM) in Paris, France. His research activities lie at the intersection of database systems, data mining, and digital humanities, with a strong emphasis on social network analysis, knowledge base population, and spatial/temporal data management. Education details are not explicitly provided in the source material. His research interests can be summarized as follows: Database Technologies: scalable indexing, distributed repositories, spatial and temporal data structures. Data Mining & Machine Learning: community detection, influence maximization, recommender systems. Digital Humanities: prosopographic databases, historical social networks, credibility assessment of historical sources. Social Media Analytics: Twitter user profiling, early detection of popular accounts, reducing filter bubbles. Across more than two decades, Prof. du Mouza has produced a rich scholarly record that blends theoretical advances with practical applications. Recent publications (2020-2024) highlight a methodological shift toward end-to-end evaluation frameworks for knowledge base population, uncertainty modeling in historical corpora, and real-time influence maximization in advertising ecosystems. These works are published in premier venues such as SIGIR , VLDB Journal , WISE , CIKM , and leading French conferences (EGC, BDA). No specific scientific awards, funded projects, or doctoral student names are mentioned in the supplied text. Prof. du Mouza collaborates extensively within interdisciplinary teams involving historians, computer scientists, and statisticians, reflecting CEDRIC’s integrative research culture. While no dedicated laboratory or team name is provided, his continuous affiliation with CEDRIC/CNAM confirms an active and ongoing role in both research and graduate-level education.

• Evidence Synthesis
• Public Health
• Mental Health
• +۴ مورد دیگر

Dr Silvy Mathew is a Research Fellow at the Social Research Institute within the UCL Institute of Education, University College London. She joined UCL in November 2022 as a Research Assistant and transitioned to her current Research Fellow position in June 2023, where she contributes to the NIHR-funded London Alliance for the Coproduction of Evidence Synthesis (LACES) team. Her educational background includes: Bachelor of Dental Surgery (BDS) from AYUSH & Health Science University of Chhattisgarh, India Master of Public Health (MPH) from Manipal Academy of Higher Education (MAHE), India Dr Mathew's research focuses on evidence synthesis for public health decision-making, with expertise in mental health (depression, anxiety, insomnia), antibiotic resistance, health services systems, and infodemic management. She develops methodologies to enhance research accessibility and usability, currently exploring disease screening, child health, and systematic review techniques at the EPPI-Centre. Her publication record (2022-2025) reveals a concentrated focus on scoping reviews of over-the-counter products for mental health conditions across diverse populations, alongside critical public health topics like antibiotic residues in food systems and laboratory surveillance in Southeast Asia. These works demonstrate methodological rigor in evidence synthesis applied to real-world health challenges. No scientific awards were documented in the source materials. As part of the five-year LACES initiative, Dr Mathew collaborates within a national network of Evidence Synthesis Groups to support UK health and social care decisions. She also contributes as a peer reviewer for academic journals and leverages her clinical background as a qualified dentist with three years of Indian practice experience.

Jeremy Faludiمشاهده پروفایل

استادیار

• Sustainable Design Methods
• Sustainable Additive Manufacturing
• Life Cycle Assessment
• +۵ مورد دیگر

Jeremy Faludi is an Assistant Professor of Design for Sustainability at Delft University of Technology's Faculty of Industrial Design Engineering. With a strong background spanning both physics and design, he brings a unique interdisciplinary perspective to sustainable product development and manufacturing. His work bridges academic research and industry application, focusing on practical solutions for environmental challenges in design and manufacturing. Dr. Faludi's educational background includes a PhD in Mechanical Engineering from the University of California (2017), an ME in Product Design from Stanford University (2003), and a BA in Physics from Reed College (1995). Before returning to academia, he spent fifteen years working as a sustainable designer in industry and taught green product design at prestigious institutions including Stanford, Dartmouth, and Minneapolis College of Art and Design. His research focuses on sustainable design methods and metrics, with particular emphasis on whole system mapping, life cycle assessment, biomimicry, and sustainable additive manufacturing. He has developed numerous tools for health hazard assessment, product reparability evaluation, and LCA software interface improvements. His work in green 3D printing is particularly notable, where he has published the most comprehensive life cycle assessments in the additive manufacturing industry and written policy recommendations for the OECD. Dr. Faludi's publications reveal a strong trend toward practical applications of sustainable design principles across multiple domains. His recent work addresses climate footprint analysis of clinical trials, reparability scoring systems, circular economy applications in medical devices, and sustainable additive manufacturing frameworks. His research consistently bridges theoretical sustainability concepts with practical implementation strategies for industry. Contributed to six books on sustainable design, including the influential Worldchanging: A User's Guide for the 21st Century Designed the Biomimicry Institute's first online database (AskNature.org) Bicycle design featured in Smithsonian Cooper-Hewitt Design Museum's 2007 exhibit "Design for the Other 90%" Created StreetNatureScore.com using 11 billion satellite data points Authored multiple online courses including VentureWell's Tools for Design and Sustainability Dr. Faludi actively collaborates with industry through multiple research projects including DesHealth, DiCE (Digital health in a Circular Economy), PROMPT, and ShaRepair. His work contributes significantly to UN Sustainable Development Goals related to sustainable cities, responsible consumption, climate action, and industry innovation.

Marek Kopelمشاهده پروفایل

استادیار

• Game Development
• Artificial Intelligence
• Virtual Reality (VR)
• +۳ مورد دیگر

Marek Kopel is an Assistant Professor at the Department of Applied Informatics, Faculty of Information and Communication Technology, Wrocław University of Science and Technology. He has held this position since 2011 and has been affiliated with the university since 2001. His teaching focuses on video games, information retrieval, and databases. Ph.D. in Computer Science Kopel's research spans game development, artificial intelligence, virtual reality, and music technology. He explores the intersection of games and AI, including real-time music adaptation in gameplay and VR interaction methods. His work also addresses procedural generation, optimization algorithms, and accessibility in educational materials. His publications highlight trends in VR immersion, game AI, and music industry analysis, often leveraging machine learning and semantic web technologies. He contributes to the organization of international conferences like ACIIDS and ICCCI. Kopel actively engages in interdisciplinary collaborations, notably through the InforMusic science club. He integrates his passion for music into research, playing instruments in university bands (WITelsi) and testing student-created games.

Tiziana Catarciمشاهده پروفایل

استاد

• Human-Computer Interaction
• Data Quality
• Database Systems
• +۷ مورد دیگر

Tiziana Catarci is a Full Professor ( Professore Ordinario ) at the Department of Computer, Automation and Management Engineering Antonio Ruberti (DIAG) within the Faculty of Computer Engineering, Computer Science and Statistics at Sapienza Università di Roma since November 2000. She has had a distinguished academic career marked by numerous leadership roles at Sapienza, including serving as Pro-Rector for Infrastructure and Technologies (2010-2014) and directing the DIAG department (2018-2024). Her research focuses on Human-Computer Interaction , Data Quality , and Database Systems . In recent years, she has expanded her interests to include Ethics of Artificial Intelligence and Gender Issues in STEM , co-founding the Italian Society for AI Ethics (SIpEIA) in 2020 and serving as its president since 2024. She has published over 200 articles in prestigious journals and conferences, and has edited or authored more than 20 books. She has been actively involved in numerous national and international research projects including KIM, VENUS, FADIVA, LAURIN, SEWASIE, DELOS, Interop, WORKPAD, SM4All, PROMISE, and SmartVortex. Her recent publications cover topics ranging from visual analytics solutions to data management architectures, and from ethical considerations in AI to declarative process modeling. Dr. Catarci has received several honors throughout her career, including: Stanford University's World's Top 2% Scientists (2020) Premio Le Tecnovisionarie (2021) Fellow of the European Alliance for Innovation (2018) Nominated among 100 Donne per la Scienza by Fondazione Bracco (2016) Commendatore della Repubblica Italiana (2015) IBM Eclipse Innovation Award for the SEAWER project (2003) She is also a pioneer in promoting women in STEM fields, with activities that have been recognized by the Levi Montalcini Association in 2017, and has been included in InspiringFifty, a list of 50 women who serve as role models in the technology world.

Amy Fryمشاهده پروفایل

دانشیار

• E-Resources Management
• Digital Libraries
• Library Analytics
• +۳ مورد دیگر

Amy Fry is an Associate Professor and Electronic Resources Management Librarian at the University of Illinois at Urbana-Champaign , affiliated with the Acquisitions and Cataloging Services department. Her work focuses on digital resource management, library analytics, and technical services. Role: Associate Professor / Electronic Resources Management Librarian Department: Acquisitions and Cataloging Services University: University of Illinois at Urbana-Champaign Email: amyfry@illinois.edu Amy Fry's research spans e-resources acquisition models , usability studies for digital platforms , and data-driven library management . She explores the intersection of open access solutions , consortia collaborations , and technical services workflows , with a particular emphasis on statistical analysis and digital resource evaluation . Her recent publications highlight trends in ebook acquisition cost-effectiveness , Alma Analytics implementation , and OA Switchboard applications . Earlier works analyze print/electronic book usage patterns , fake news history , and interdisciplinary database impacts , reflecting her expertise in library technology and resource accessibility .

• Computer Science
• Human-Computer Interaction
• Game Development
• +۴ مورد دیگر

Luka Blašković, MSc in Informatics, is an Assistant Professor at the Faculty of Informatics in Pula, Croatia. He contributes to both undergraduate and graduate programs, teaching courses in Operating Systems, Programming in Scripting Languages, Business Process Management, Web Applications, and Distributed Systems. Department: Department of Informatics Research Focus: Computer Science, Game Development, Artificial Intelligence, User Experience Projects: Key participant in the EDIH Adria initiative (European Digital Innovation Hub) His research spans Human-Computer Interaction , Gaming Experience Evaluation , and Mobile Banking Applications . Recent work includes developing a conversational agent for personalized teaching materials (2024) and analyzing EDIH Adria TBI projects' impact (2025). Scientific publications include studies on Unity Engine game development (2023), vector databases (2022), and mobile banking quality (2022). While no explicit awards are listed, his active participation in international conferences like MIPRO underscores his academic engagement. Contact: luka.blaskovic@unipu.hr | Personal Website

Lévis Thériaultمشاهده پروفایل

مدرس

• Artificial Intelligence
• Learning and Inference Theories
• Knowledge Representation
• +۷ مورد دیگر

Lévis Thériault serves as a Lecturer in the Department of Computer Engineering and Software Engineering within Polytechnique Montréal's Faculty of Engineering. He is also a member of the Institute for Data Valorization (IVADO), contributing to Montreal's AI research ecosystem. His academic credentials include a B.Eng., DESS from UQAC, M.Sc.A., and PhD coursework at Polytechnique Montréal. His research spans two dynamic domains: artificial intelligence applications in healthcare (notably the Marvin chatbot system for HIV treatment adherence) and innovative educational technologies for engineering education. Recent work focuses on conversational agents for patient self-management, digital learning environments, and active learning methodologies. His publication trend shows a strategic pivot toward health AI since 2020, with multiple presentations at International AIDS Conferences, while maintaining his educational technology research thread. Dr. Thériault actively supervises graduate students across multiple cohorts, with current advisees working on AI-driven clinical tools and educational software. His supervision record includes 14 professional Master's graduates between 2021-2024 and ongoing PhD and research Master's projects. Student theses demonstrate strong industry alignment, with implementations at organizations including Desjardins, Intact Assurance, and Criteo. Teaching responsibilities include core courses in operating systems, discrete structures, and software design, where he implements his research on active learning strategies. His 2020 publication on smartphone-based assessment for large engineering classes exemplifies his practical approach to educational innovation. The May 2022 press coverage of his AI solution for Alloprof's homework help platform highlights real-world impact of his educational technology research.

Işıl Dilligمشاهده پروفایل

دانشیار

• Program analysis
• Program synthesis
• Program verification
• +۴ مورد دیگر

Işıl Dillig is an Associate Professor of Computer Science at the University of Texas at Austin, where she leads the UToPiA research group. Her academic career spans over a decade of significant contributions to programming languages research, particularly in program analysis, verification, and synthesis. Dr. Dillig received all her academic degrees (BS, MS, and PhD) from Stanford University before joining the faculty at UT Austin. Her educational background established the foundation for her innovative research approach that bridges theoretical computer science with practical applications. Her research focuses on developing techniques to make software systems more reliable, secure, and easier to build through advanced program analysis, verification, and synthesis methods. She has pioneered approaches that combine symbolic reasoning with machine learning to tackle complex software engineering challenges across multiple domains including security, databases, and programming language theory. Her work demonstrates exceptional depth in creating practical tools that address real-world software development problems while maintaining strong theoretical foundations. Analysis of Dr. Dillig's publication record reveals a consistent trajectory of innovation in program synthesis, with recent work expanding into neurosymbolic approaches that bridge neural networks with formal methods. Her research shows strong connections between theoretical foundations and practical applications, particularly in security-critical systems, database technologies, and blockchain applications. The evolution of her work demonstrates increasing sophistication in handling complex program structures while maintaining practical usability. Dr. Dillig has received prestigious recognition for her research contributions: Sloan Fellowship NSF CAREER award As a dedicated educator and research leader, Dr. Dillig has served in significant roles including Program Chair for PLDI 2022 and Steering Committee member for PLDI. She has mentored numerous students through her UToPiA research group, guiding research in program synthesis, verification, and analysis. Her work has been supported by substantial research grants that have enabled innovative projects at the intersection of programming languages and security. Dr. Dillig leads the UToPiA (UT Austin Programming, Languages, and Analysis) research group, which focuses on developing novel techniques for program analysis, verification, and synthesis. The group maintains strong collaborations with industry partners and academic institutions worldwide, translating theoretical advances into practical tools that address real software engineering challenges.

Peter Rossoمشاهده پروفایل

پژوهشگر

• Computer-Aided Design
• CAD Modeling
• Product Development
• +۳ مورد دیگر

Peter Rosso is a Doctor of Philosophy researcher at the University of Bristol's School of Electrical, Electronic and Mechanical Engineering, specializing in Computer-Aided Design (CAD) systems and product development methodologies. His work bridges software engineering principles with mechanical design practices. His educational background includes a BEng in Mechanical Engineering from the University of Bristol (awarded July 19, 2017). Research focuses on addressing technical debt in CAD modeling , improving CAD editability and usability , and exploring graph database applications for design intent preservation. Key methodologies include adapting object-oriented programming principles to CAD systems and investigating variability impacts on model reusability. Current research trends show strong interdisciplinary connections between software engineering and mechanical design, particularly in applying version control concepts from software development to physical product lifecycles through digital twin paradigms. His work demonstrates significant citation impact with 15+ Scopus citations across recent publications. Scientific Recognition: No major awards or fellowships explicitly documented in source materials As Principal Investigator for the active CAD Refactoring project (since September 2018), he leads research on improving CAD model editability with collaborators including Prof. B.J. Hicks and Dr. S.C. Burgess. The project has generated notable academic engagement with 14 Mendeley readers and social media mentions. His research group maintains active collaborations across mechanical engineering and software domains, with particular emphasis on translating software engineering best practices to CAD environments and developing integrated version control systems for virtual-physical artifact management in product development cycles.

Mary Ellen Sloaneمشاهده پروفایل

استاد

• Collection Development
• Bibliometrics
• Scholarly Communication
• +۵ مورد دیگر

Mary Ellen Sloane serves as Professor of User Services at Middle Tennessee State University's James E. Walker Library. Her role encompasses collection development support, scholarly communications advising, liaison services, and reference services across multiple STEM disciplines including Biology, Chemistry, Physics, and Computer Science. Her educational background includes an MLS from San Jose State University (2003) and a BA in Philosophy from California State University, Sacramento (1999), with undergraduate focus on logic, ethics, and epistemology. Graduate studies concentrated on library administration, information organization, archives, and reference services. Sloane's research centers on collection development , bibliometrics , scholarly communication , and information literacy , with recent expansion into data science applications and research impact metrics. Her work demonstrates consistent focus on electronic resources management, web usability, and developing collaborative frameworks between library and academic faculty, particularly in STEM fields. Analysis of her publication history reveals sustained engagement with evolving library technologies, from early work on electronic resource management (2008-2012) through bibliometric innovations (2016-2021) to current research on global research disparities and data science applications (2022-2023). Her scholarship consistently bridges theoretical frameworks with practical implementation in academic library settings. Tenn-Share DeAnne Nipp-Kientz Volunteer of the Year (2018) Highly Commended paper award from 2013 Emerald Literati Network Awards for Excellence Tenn-Share Resource Sharing Award (2010) Sloane has developed significant collaborative initiatives, particularly the information literacy partnerships with Chemistry faculty and data science forums at MTSU's Learning, Teaching, & Innovative Technologies Center. Her work with library consortia, including Tennessee's resource-sharing networks, demonstrates commitment to regional academic collaboration. Current projects focus on research metrics, SDG-related research disparities, and advancing data management practices in academic libraries.

• Cybersecurity
• Quantum Computing
• Machine Learning
• +۵ مورد دیگر

Michael Nizich serves as Director of the Entrepreneurship and Technology Innovation Center (ETIC) and Adjunct Associate Professor of Computer Science in the College of Engineering & Computing Sciences at New York Institute of Technology. He additionally directs the NSA/DHS-designated Center of Academic Excellence for Cybersecurity Education and holds board positions with Long Island STEM Hub, Long Island Innovation Hot Spot, and (ISC)2 Long Island Chapter. Dr. Nizich holds a Ph.D. and brings over 25 years of cross-industry IT leadership experience spanning aviation, law enforcement, biotechnology, and cybersecurity sectors. His teaching career exceeds 15 years across classroom, laboratory, and online environments at New York Tech since 2016. His research integrates cybersecurity with emerging technologies through interdisciplinary applications. Key focus areas include quantum computing workforce development (evidenced by his 2023 book The Cybersecurity Workforce of Tomorrow ), experiential learning models for quantum programmers, and bridging technical domains with fields like medicine and veterinary science. The ETIC serves as his primary innovation platform, driving projects such as NASA prototyping contracts and E.R.R.S.E.L.A. robotics. Recent publications reveal strong interdisciplinary trends, connecting computer science with medical education, equine biomechanics, and law enforcement procedures. His work consistently emphasizes practical applications and educational innovation, particularly in cybersecurity training and quantum technology adoption. His professional recognitions include: Long Island Business News POWER 25 Education (2020) Presidential Excellence Award for Part Time Faculty (2020) Presidential Excellence Award Team Award (2020) LISTnet Company Honoree for ETIC Dr. Nizich actively mentors students through capstone projects and NASA-funded prototyping teams. The ETIC secures substantial external funding including multi-year NASA contracts and federal cybersecurity designations. His courses like Senior Project Capstone and Information Security Engineering provide direct pathways for student involvement in funded research. The ETIC functions as a comprehensive innovation ecosystem with programs spanning AISTETIC (AI development), iNTEREST entrepreneurship initiatives, and YouTube-based educational content. This structure facilitates collaboration between students, faculty, industry partners, and government agencies while advancing cybersecurity and quantum computing research on Long Island.

Thorsten Riemke-Gurzkiمشاهده پروفایل

استاد

• Web Technology
• Web Development
• User Experience
• +۶ مورد دیگر

Thorsten Riemke-Gurzki is a fulltime Professor for Web Technology, Corporate Portals & Usability at Stuttgart Media University in Stuttgart, Germany, where he has been working since 2008. Prior to his academic career, he worked as a freelance and employed consultant for various companies including SAP Germany. He describes himself as having 'grown up with hardware, CP/M, mailbox systems' and being 'web addicted since 1991,' positioning himself as both a frontend and backend developer and a 'web technology evangelist.' Professor Riemke-Gurzki's research interests span a comprehensive range of web technologies: Frontend and backend web development HTML, CSS, JavaScript and modern frameworks (React, React Native, Vue.js) Server-side technologies including Node.js, Go, Docker, and database systems Microservices architectures and single page applications Web 3D/AR, AI applications for the web, and Internet of Things User experience, usability, and content management systems His recent publications demonstrate a strong focus on practical web development techniques, covering topics from CSS fundamentals to advanced server implementation in Go and exploration of emerging technologies like JavaScript-based microcontrollers. His work bridges academic research with practical industry applications through his website riemke.dev where he shares technical articles and hosts a podcast on web development topics. Professor Riemke-Gurzki maintains an active presence in both academic and developer communities, with educational materials on GitHub and engagement with industry technologies like the Daimler UXLab truck. His approach emphasizes hands-on learning and practical application of web technologies.

Patrick Girardمشاهده پروفایل

استاد

• Human-Computer Interaction
• Task Modeling
• Interactive Systems Design
• +۳ مورد دیگر

Patrick Girard is a Full Professor in Data Engineering at ISAE-ENSMA (Institut Supérieur de l'Aéronautique et de l'Espace - École Nationale Supérieure de Mécanique et d'Aérotechnique) in France. He is a member of the Data Engineering Team within the LIAS (Laboratoire d'Ingénierie des Applications de la Sensorique) laboratory, with dual affiliations at ISAE-ENSMA in Chasseneuil and ENSIP in Poitiers. Professor Girard's research focuses on Human-Computer Interaction , with particular expertise in task modeling , interactive systems design , and programming by demonstration techniques. His work spans theoretical foundations to practical applications in model-based development, user interface design methodologies, and educational technology for programming. He has made significant contributions to task model validation, simulation techniques, and the application of these principles in complex systems engineering, particularly in aerospace contexts. His publication history demonstrates a consistent evolution from foundational work on programming by demonstration and task-oriented architectures in the 1990s to more recent applications in complex systems engineering and avionics. A distinctive trend in his work is the integration of formal methods with practical HCI approaches, creating robust frameworks for developing user-centered interactive systems with safety-critical applications. Professor Girard has mentored numerous researchers throughout his career, with frequent collaborations showing sustained relationships with scholars like Loé Sanou, Nicolas Guibert, and Thomas Lachaume. His research has involved multiple interdisciplinary projects, often connecting academic research with industrial applications, particularly in the aerospace sector. Within the LIAS laboratory, Professor Girard works in the Data Engineering Team alongside colleagues in Automatic Control and Real Time research groups. The laboratory maintains strong industry partnerships, especially with aerospace companies, enabling practical implementation of theoretical research in real-world engineering contexts. His work bridges computer science theory with practical engineering applications, particularly in the French aerospace ecosystem.

Xin Zhangمشاهده پروفایل

استادیار

• Programming Languages
• Software Engineering
• Program Analysis
• +۶ مورد دیگر

Xin Zhang serves as an Assistant Professor in the Department of Computer Science and Technology within the School of Electronics Engineering and Computer Science at Peking University. His academic profile demonstrates deep engagement with programming languages and software engineering research communities through active participation in major conferences including ASE, SPLASH/OOPSLA, PLDI, and ICSE. Dr. Zhang's research focuses on the synergistic relationship between program analysis and machine learning. He investigates how ML/AI techniques can enhance traditional program analysis methods while simultaneously developing program analysis approaches to improve the interpretability, fairness, robustness, and safety of AI systems. His work spans probabilistic program analysis, abstraction refinement techniques, Bayesian modeling for program semantics, and applications of graph neural networks to static analysis problems. His publication record shows consistent contributions to top venues from 2016 through 2025, with recent work emphasizing Bayesian program analysis, abstraction refinement methods, and the intersection of formal methods with machine learning. The trajectory of his research demonstrates increasing sophistication in combining traditional program analysis techniques with modern AI approaches. Dr. Zhang actively contributes to the academic community as a program committee member for major conferences including ASE, SAS, PLDI, and SPLASH. His service includes reviewing, session chairing, and committee participation across multiple venues, reflecting his standing in the programming languages and software engineering communities.