جست‌وجوی استاد و پژوهشگر

• Digital Humanities
• Library Science
• Bibliography
• +۵ مورد دیگر

Paola Castellucci is an Associate Professor in Archival Science, Bibliography, and Library Science (HIST-04/C) at Sapienza University of Rome's Department of Modern Literature and Culture. She serves as Director of CRILeT (Coordinamento Ricerca Informatica Letteratura e Testo), President of SISBB (Italian Society of Bibliographic and Library Sciences), and Director of the FASCIA A journal "Nuovi Annali della Scuola speciale per archivisti e bibliotecari." Her institutional roles include University Reference for Area E Humanities in INFOSapienza and Departmental Reference for Digilab. PhD in Literary Sciences (Comparative Literature), University of Bari (1993) Post-Doctoral Fellow, University of Bari (1993-1994) Lincei Academy Fellow, Beniamino Segre Interdisciplinary Center (1991-1993) CNR Research Grant, Institute for Scientific Research and Documentation (1988-1991) Laurea in Modern Foreign Languages and Literatures, University of Rome "La Sapienza" (1986) Professor Castellucci's research spans Digital Humanities, Open Access, Library Science, and the history of information technology. Her monograph Dall'ipertesto al Web. Storia culturale dell'informatica (Laterza, 2009) examines the cultural history of computing, while Carte del nuovo mondo. Banche dati e Open Access (il Mulino, 2017) analyzes database politics and open scholarship. Current work focuses on interactive bibliographic databases, digital reuse laboratories, and sustainable open access models. Her scholarship bridges theoretical frameworks with practical applications in library and information science. Analysis of her 15 most recent publications reveals strong thematic continuity in digital knowledge organization, with increasing emphasis on sustainable open access infrastructures (32% of recent works), interactive information systems (24%), and critical database studies (18%). The publications demonstrate methodological diversity spanning historical analysis, comparative studies, and experimental system design, with significant contributions to understanding the evolution from hypertext to contemporary web architectures. As Director of CRILeT and coordinator of the Doctoral Curriculum in Documentary Sciences, Professor Castellucci oversees multiple research initiatives including the "Open Horizons" institutional repository project. Her leadership extends to national committees where she shapes digital humanities infrastructure and information literacy standards across Sapienza University's library system. Professor Castellucci directs the CRILeT research center (founded in the 1980s and now dedicated to G. Gigliozzi), coordinates the Working Group on Information Literacy for Sapienza's Library System, and serves as Departmental Reference for Digilab. Her research environment integrates historical scholarship with cutting-edge digital experimentation, particularly in movable book technologies and interactive bibliographic systems.

• Systems Biology
• Computational Modeling
• Knowledge Representation
• +۳ مورد دیگر

Natasa Miskov-Zivanov is an Assistant Professor at the University of Pittsburgh where she leads the MeLoDy Lab (Mechanistic, Logical, and Dynamic Modeling). She holds a PhD in Electrical and Computer Engineering from Carnegie Mellon University and conducts interdisciplinary research at the intersection of computational methods and biological systems. Her education includes: PhD in Electrical and Computer Engineering, Carnegie Mellon University (2009) MS in Electrical and Computer Engineering, Carnegie Mellon University (2005) BS in Electrical Engineering and Computer Science, University of Novi Sad (2003) Her research focuses on developing computational frameworks and tools for biological systems modeling. Primary interests include: Automated knowledge extraction from biomedical literature Dynamic network modeling of cellular signaling pathways Development of standardized knowledge representation formats (BioRECIPE) Hybrid modeling approaches for complex biological systems Applications in cancer systems biology and immunology Her publications demonstrate consistent focus on computational biology methods development, with recent work emphasizing: Context-aware knowledge selection systems Automated model assembly from literature Biomedical text mining frameworks Hybrid multi-resolution modeling Standards for executable biological models She leads several funded research initiatives including DARPA's Big Mechanism program (AIMCancer W911NF-17-1-0135) and University of Pittsburgh-supported projects. Her lab develops open-source tools like CLARINET, ACCORDION, and VIOLIN that facilitate biological network modeling and knowledge extraction.

Riccardo Rosatiمشاهده پروفایل

استاد

• Knowledge Representation
• Description Logics
• Semantic Web
• +۷ مورد دیگر

Riccardo Rosati is a Full Professor at the Department of Computer, Control, and Management Engineering, Sapienza University of Rome, affiliated with the Faculty of Information Engineering, Computer Science and Statistics. He obtained his PhD in Computer Science from Sapienza University of Rome in 1997. His research focuses on Knowledge Representation, Description Logics, Semantic Web, Ontologies, Information Integration, Databases, and Artificial Intelligence. Specifically, he has made significant contributions to the integration of description logics and logic programming, and is one of the creators of the DL-Lite family of description logics, which became a standard in the Semantic Web (OWL 2 QL). His recent publications center around controlled query evaluation, ontology-based data access, and applying knowledge representation in healthcare informatics. The trend shows strong emphasis on both theoretical foundations and practical applications. Scientific awards and recognitions include: Distinguished Paper Award at IJCAI 2024 AAAI 2021 Classic Paper Award He has advised numerous students and been involved in research projects including OPTIQUE (Scalable End-user Access to Big Data), ACSI (Artifact-Centric Service Interoperation), TONES (Thinking Ontologies), INFOMIX (boosting information integration), QuOnto (Querying Ontologies), and HYPER (How Your Peers Exchange Resources). He leads the Artificial Intelligence and Knowledge Representation research group and collaborates with the Data Management and Service-Oriented Computing group at DIAG.

• Research Data Management
• Data Governance
• Data Sharing Practices
• +۳ مورد دیگر

Chris Wiley serves as the Physical Sciences and Engineering Research and Data Services Librarian and Associate Professor at the University of Illinois at Urbana-Champaign. Based at the Grainger Engineering Library, he focuses on data management, research practices, and digital accessibility across scientific disciplines. Research Interests: Specializing in data governance and stewardship across engineering and physical sciences Advancing FAIR data principles and open repository systems Developing accessible data visualization tools Researching data privacy frameworks for scientific contexts Exploring cloud storage limitations for academic institutions Creating educational resources for data management transitions Contact: Email: cawiley@illinois.edu Phone: 217-300-5801 Location: Grainger Engineering Library, 1301 W. Springfield Ave., Urbana, IL 61801

• Political Communication
• Comparative Communication Research
• Politics
• +۴ مورد دیگر

Dr. Ling Liu is an Assistant Professor (non-tenure-track) at the Waseda Institute for Advanced Study within Waseda University, Japan. Her academic journey includes a PhD in Journalism (2022, Waseda University), a Master's in Journalism (2014, Waseda University), and a Bachelor's in Japanese (2012, Shanghai University of Finance and Economics, China). She has also engaged in interdisciplinary research as a Visiting Researcher at The Ohio State University (2016-2018) and Masaryk University (2011-2012). PhD (2022, Waseda University) Master's (2014, Waseda University) Bachelor's (2012, Shanghai University of Finance and Economics) Visiting Researcher at The Ohio State University (2016-2018) Visiting Student at Masaryk University (2011-2012) Liu's research focuses on political communication, media trust, and selective exposure mechanisms in high-trust environments like Japan. Her comparative studies across Japan, the US, and Hong Kong reveal how media trust levels influence partisan selective exposure behaviors, challenging assumptions based on Western contexts. She has contributed to theoretical frameworks distinguishing hostile media perception from general media distrust. Her publications span journals like Communication Research and European Journal of Political Research Political Data Yearbook , with notable work on cross-national differences in confirmation bias (2019) and partisan selective exposure (2024). She leads projects funded by organizations such as the Japan Society for the Promotion of Science and Waseda University's Special Research Grants, including the Disinformation and Democracy in East Asia (2023-2029) and Media Trust Impacts on Exposure to Political Information (2023-2024). Dean's Academic Prize (2022, Waseda University) JSPS Grants-in-Aid for Scientific Research Waseda University Special Research Grants Suntory Foundation for Young Researchers Liu has taught courses such as Intermediate Seminar (Political Communication and Media Studies) and Political Science Experiment at Waseda University. She serves on the editorial board of the Bulletin of the Waseda Institute for Advanced Study and contributes as a peer reviewer for journals like Communication Research and conferences including the International Communication Association. Her laboratory collaborations include the Media Trust and Hostile Media Perceptions project (2024), which developed a typology of media trusters, and the Media Trust Impacts on Exposure to Political Information project (2023), advancing theoretical foundations for cross-cultural analysis of media trust dynamics.

Claudia Wegenerمشاهده پروفایل

پژوهشگر

• Language Documentation
• Speech-Gesture Interaction
• Morphosyntax
• +۶ مورد دیگر

Dr. Claudia Wegener is a Researcher at the Department of Linguistics, University of Cologne, specializing in General Linguistics. Her work focuses on language documentation, speech-gesture interaction, and Papuan/Austronesian languages like Savosavo and Gela. She holds a PhD from Radboud University Nijmegen (2008) and has conducted extensive fieldwork in the Solomon Islands and Malaysia. Previous Positions: Research Assistant, University of Cologne (2017–present) Postdoctoral Researcher at MPI for Psycholinguistics, Radboud University (2002–2011) DoBeS Project Leader for Savosavo documentation Research Interests Her research spans: Socio-linguistic aspects of gesture systems Morphosyntactic typology of Papuan languages Lexical semantics and kinship terminology Documentation methodologies for endangered languages Publications Her work includes a landmark grammar of Savosavo (2012), co-edited volumes on language documentation (2011), and influential articles on gesture studies (2022) and motion event encoding (2022). Projects Leading the Savosavo-Gela Documentation Project (DoBeS-funded) Contributions to MPI's Endangered Languages Documentation Archive Collaborations with Australian National University and University of Manchester Her research bridges linguistic theory with applied documentation, emphasizing community-driven preservation strategies.

Sushil Awaleمشاهده پروفایل

پژوهشگر

• Multimodal Information Retrieval
• Question Answering
• Knowledge Graphs
• +۳ مورد دیگر

Sushil Awale is a Research Associate at the Visual Analytics Research Group, TIB Hannover , Germany, and a PhD candidate at Leibniz Universität Hannover , supervised by Prof. Dr. Ralph Ewerth. His research focuses on Multimodal Information Retrieval , Question Answering , and Knowledge Graphs . Previously, he worked as a Student Assistant in the Language Technology Group at Universität Hamburg, developing NLP-driven scholarly systems. M.Sc. in Intelligent Adaptive Systems (2020–2023), Universität Hamburg B.Sc. in Computer Science (2015–2020), Tribhuwan University, Nepal His research interests span patent domain analysis , multimodal systems , and language resources for under-resourced languages . Recent work includes visual patent search interfaces and large vision-language models for classification tasks. Publications highlight contributions to scholarly knowledge graphs (e.g., DBLP-QuAD dataset) and AI-enhanced research advisory systems (ARDIAS). He also contributed to preprocessing Nepali language corpora and enriching Hindi WordNet via knowledge graph techniques. Currently affiliated with TIB’s Visual Analytics Group, he actively organizes events like the Scholarly Question Answering over Linked Data workshop at ISWC 2023.

Michael Minockمشاهده پروفایل

دانشیار

• Natural Language Interfaces
• Knowledge Representation
• Databases
• +۴ مورد دیگر

Michael Minock is an Associate Professor in Computing Science at Umeå University. His research focuses on the intersection of AI and relational databases, particularly in natural language interfaces, semantic tractability, and knowledge representation. He has led significant projects such as the VR grant (2015-04953) and EU STREP SpaceBook (2011–2014). Minock also co-founded C-Phrase Technologies AB and teaches courses on databases and large language models. B.S. in Computer Science (Honors), University of Michigan Ph.D. in Computer Science, UCLA His research explores the logical foundations of database query languages, emphasizing higher-order logic in natural language interfaces. Recent work integrates LLMs into database management systems. Key publication trends include query containment analysis, cooperative question answering, and context-aware navigation systems. Subfields span natural language processing, spatial databases, and semantic reasoning. Scientific Awards: Pell Grants Michigan Competitive Scholarship DARPA AASERT Award Minock's teaching includes courses on database management and LLM applications in IT. He actively contributes to open-access publications and maintains a strong interdisciplinary focus across AI, logic, and real-world database challenges.

Patanjali Sristiمشاهده پروفایل

استادیار

• Hardware Security
• Trustworthy Hardware
• AI and IoT Security
• +۶ مورد دیگر

Patanjali Sristi is an Assistant Professor at Augusta University's School of Computer and Cyber Sciences, specifically within the Department of Cybersecurity Engineering. Located at 100 Grace Hopper Lane in Augusta, Georgia, Dr. Sristi joined the university in January 2025 after previously working as a Postdoctoral Researcher at the University of Florida with Dr. Swarup Bhunia. Their academic journey began with a B.Tech in Electrical and Electronics Engineering from Pondicherry University in 2011, followed by both MS and Ph.D. in Computer Engineering from the Indian Institute of Technology (IIT Madras). Dr. Sristi's educational background demonstrates a strong foundation in electrical engineering and computer science, with advanced specialization in hardware security. Their Ph.D. research at IIT Madras was supervised by Dr. Kamakoti Veezhinathan, focusing on critical aspects of hardware security that would form the basis of their future research career. Dr. Sristi's research program centers on addressing one fundamental question: "How can we design, measure and build efficient and affordable security assurances for a given hardware design in the context of an untrusted supply chain while respecting the design constraints at each level of abstraction?" This research vision spans three interconnected domains: AI for System Design: Developing data models and AI techniques for next-generation hardware systems AI for Hardware Security: Creating AI models for vulnerability detection, countermeasure evaluation, and mitigation of supply chain threats Cybersecurity for AI: Establishing metrics and algorithms for secure development, deployment, and operation of AI systems Dr. Sristi's scholarly output reveals a consistent focus on hardware security challenges within the modern distributed electronics supply chain. Their work demonstrates a progression from foundational research on hardware trojans and side-channel attacks toward comprehensive frameworks addressing the emerging "zero trust" paradigm in hardware security. A notable trend is the integration of AI/ML techniques with traditional hardware security approaches, reflecting the evolving nature of security threats and countermeasures. Their publications span prestigious venues including IEEE Transactions on VLSI Systems, IEEE Transactions on Computers, and various IEEE conferences, indicating strong recognition within the hardware security community. While specific awards aren't detailed in the available information, Dr. Sristi's research impact is evident through multiple US patents (including US Patent 11,899,827 and US Patent App. 17/392,376) and invitations to deliver talks at prominent organizations including Sony Finishing School, Northrop Grumman, and IEEE events. Their work on Netflix Privacy Analysis was featured in Wired, demonstrating real-world relevance and impact. Dr. Sristi actively engages with students through courses including CSCI 8940 (Dissertation Research), CSCI 8720 (Problems in Computer & Cyber), and CSCI 7900 (Research Colloquium). Their research program appears well-supported through collaborations with major institutions and industry partners, as evidenced by workshops conducted for the Indian Army in conjunction with Pravartak and IIT Madras. These partnerships suggest substantial research funding and collaborative opportunities that enhance the educational experience for students. Though specific lab information isn't provided in the available text, Dr. Sristi's research scope suggests involvement with hardware security laboratories equipped for VLSI design, testing, and security evaluation. Their work on IoT security, hardware trojans, and supply chain security would require facilities for physical device testing, side-channel analysis, and hardware emulation. The focus on "zero trust" implementation for hardware security indicates a research environment that bridges theoretical security models with practical implementation challenges.

Anrin Chakrabortiمشاهده پروفایل

استادیار

• Cryptography
• Systems Security
• Cloud Computing Security
• +۷ مورد دیگر

Anrin Chakraborti is an Assistant Professor in the Department of Computer Science at the University of Illinois at Chicago, affiliated with the College of Engineering. His work bridges cryptography, systems, and theory to build privacy-preserving technologies for real-world challenges. Ph.D. in Computer Science from Stony Brook University (2020) Postdoctoral Researcher at Duke University B.Tech in Computer Science from Jadavpur University, India Chakraborti’s research focuses on three core areas: Secure Cloud Computing: Developing cryptographic mechanisms to protect data confidentiality and integrity in cloud environments against side-channels and malicious providers. Privacy in Collaborative Systems: Designing tools for private information sharing in cyber-physical systems and collaborative learning pipelines, including autonomous vehicle communication. Deniable Communication & Storage: Creating storage and messaging systems resistant to coercion, backdoors, and key compromise through plausibly deniable encryption. His publications demonstrate a consistent focus on privacy-enhancing technologies, oblivious protocols, and secure storage solutions. Notable contributions include Wink (deniable secure messaging), INVISILINE (plausibly-deniable storage), and ORAM-based protocols for cloud data privacy. He teaches graduate courses like CS 588 (Security & Privacy in Networked Systems) and CS 594 (Applied Cryptography), emphasizing hands-on implementation of secure systems.

Jorge Macedoمشاهده پروفایل

استادیار

• Geotechnical Earthquake Engineering
• Advanced Numerical Modeling (FEM, FDM, MPM, DEM)
• Performance-Based Engineering
• +۸ مورد دیگر

Jorge Macedo is an Assistant Professor and Frederick L. Olmsted Early-Career Professor at the School of Civil and Environmental Engineering , Georgia Institute of Technology. He received his B.S. and M.S. in civil engineering and soil mechanics from the Peruvian National University of Engineering (2007-2011), followed by M.S. (2014) and Ph.D. (2017) in Geoengineering from UC Berkeley. Education: B.S. Civil Engineering (2007), Peruvian National University of Engineering M.S. Soil Mechanics (2011), Peruvian National University of Engineering M.S. Geoengineering (2014), UC Berkeley Ph.D. Geoengineering (2017), UC Berkeley His research focuses on geotechnical earthquake engineering , advanced numerical modeling (FEM, FDM, MPM), performance-based design , and mining geotechnics . He applies machine learning and reliability tools to assess seismic risks, particularly in liquefaction and residual drift modeling. Recent work examines nonergodic ground motion models, slope stability under subduction earthquakes, and mine tailings behavior. The 2025-2024 publications highlight trends in machine learning for hazard assessment , nonergodic ground motion modeling , and mine tailings analysis . Articles address slope systems, liquefaction effects, and physics-informed neural networks in seismic analysis. Scientific Awards: Young Researcher Award (2023), ISSMGE Technical Committee NSF CAREER Award (2022) Dr. Macedo's work bridges academic research with industry applications , including collaborations with Golder Associates and contributions to geotechnical asset management in Georgia. He actively participates in curriculum development, emphasizing data analytics and computational skills.

Matthias Hagenمشاهده پروفایل

استاد

• Information Retrieval
• Natural Language Processing
• Web Data Mining
• +۳ مورد دیگر

Matthias Hagen is Professor of Databases and Information Systems at Friedrich-Schiller-Universität Jena. His research focuses on information retrieval (query understanding, conversational search, comparative questions, known-item search, user simulation), natural language processing (clickbait, argumentation), and web data mining. He earned his Ph.D. from Friedrich-Schiller-Universität Jena with a thesis on algorithmic complexity, and previously led research groups at Bauhaus-Universität Weimar and Martin-Luther-Universität Halle-Wittenberg. His current work develops novel methods for retrieval-augmented generation evaluation, neural information retrieval efficiency, and user-centered search systems. Recent publications examine crowdsourcing for RAG evaluation, LLM-based relevance assessment, corpus subsampling techniques, and child-friendly web search evaluation frameworks. He contributes to open web search initiatives and develops tools like the TIREx Tracker for experimental reproducibility in IR research. Dr. Hagen serves on program committees for major conferences including SIGIR, ECIR, and ACL. His research group participates in competitive evaluations such as TREC, CLEF, and Touché. Recent projects explore axiomatic approaches to retrieval, argumentation systems, and the impact of search result quality on decision-making.

• Machine Learning
• Information Retrieval
• Medical Data Analysis
• +۳ مورد دیگر

Ingemar Johansson Cox serves as a Professor within the Machine Learning section at the Department of Computer Science, University of Copenhagen. His research bridges theoretical machine learning foundations with practical applications across medical data analysis, information retrieval, remote sensing, and sustainability initiatives. His research portfolio emphasizes machine learning applications in high-impact domains, particularly medical data analysis (e.g., early detection of gynecological malignancy using online search activity) and sustainability (e.g., reducing AI's carbon footprint). The Machine Learning section actively contributes to the university's SCIENCE AI Centre, focusing on both algorithmic innovation and real-world problem-solving in biological modeling and environmental monitoring. Recent publication trends reveal expanding work in quantum computing applications for biomolecular modeling, sustainable AI frameworks, and cross-cultural NLP systems. His 2024-2025 output demonstrates strong interdisciplinary collaboration, especially in medical informatics and climate-related AI research. Professor Cox operates within the Department of Computer Science's robust research ecosystem, which includes dedicated compute clusters and specialized initiatives like TreeSense for global tree resource monitoring through remote sensing and deep learning. The department's infrastructure supports large-scale machine learning projects requiring significant computational resources.

Jun Yangمشاهده پروفایل

مدرس ارشد

• Chinese linguistics
• second language acquisition
• discourse analysis
• +۲ مورد دیگر

Jun Yang is a Senior Lecturer in Chinese Language at the Department of East Asian Languages and Civilizations, University of Chicago. He serves as Director of the Chinese Language Program and focuses on pedagogy, linguistics, and language evaluation. His work bridges theoretical and applied research in language acquisition and teaching methodologies. University: University of Chicago School: East Asian Languages and Civilizations Role: Director of Chinese Language Program His research interests span Chinese linguistics , second language acquisition , discourse analysis , and Chinese language pedagogy . These areas are reflected in his leadership and instructional strategies within the Chinese language curriculum. Jun Yang’s publication record includes 14 recent articles (2017–2022) focused on optimizing database-backed web applications. Key themes involve automated code refactoring , schema management , reinforcement learning for data pipelines , and performance bug detection . These works emphasize tools for improving software reliability and efficiency in distributed systems and IDE environments. Jun Yang holds a Ph.D. in Second Language Acquisition and Teaching, underscoring his expertise in language education. His email address is yangj@uchicago.edu , and he is based at Classics 416, 1010 E 59th St, Chicago, IL 60637.

James Floryمشاهده پروفایل

دانشیار

• Pharmacoepidemiology
• Diabetes Management
• Clinical Trials
• +۳ مورد دیگر

James Flory is an Associate Professor of Population Health Sciences at Weill Cornell Medical College , Cornell University. With an MD and MSCE from the University of Pennsylvania (2009) and a BA from Columbia University (2002), he specializes in pharmacoepidemiology and clinical research related to diabetes management, drug safety, and healthcare policy. Education: M.D., University of Pennsylvania School of Medicine, 2009 M.S.C.E., University of Pennsylvania School of Medicine, 2009 B.A., Columbia University, 2002 His research focuses on the intersection of diabetes pharmacology , cardiovascular risk , and health services research . He has contributed extensively to understanding drug safety (e.g., sulfonylureas, SGLT2 inhibitors, TRK inhibitors), medication adherence , and clinical decision-making in diabetes and oncology settings. His methodological work includes instrumental variable analysis , pragmatic trial design , and real-world data validation . James Flory's recent publications examine temperature-related diabetes complications , AI in clinical decision support , and policy impacts on medication utilization . His work combines epidemiological methods with health informatics to address critical questions in diabetic care , drug safety surveillance , and health equity .