جست‌وجوی استاد و پژوهشگر

Adelheid Krahمشاهده پروفایل

مدرس ارشد

• Medieval History
• Digital Humanities
• Cultural History
• +۹ مورد دیگر

Dr. Adelheid Krah is a Senior Lecturer in Medieval History and Digital Humanities at the Institute of History, University of Vienna , where she has held academic positions since 2002. Her work bridges traditional historical research with digital archival methodologies. Academic Focus : Networking archival sources across Central Europe, women's/gender history of the Early Middle Ages, German/French constitutional history, Baltic Sea region studies Key Projects : Digital edition of Freisinger Amtsbücher, ICARUS network leadership, BLO platform development Her research explores pragmatic literacy in medieval archival practices , focusing on Freising's distant possessions, hagiography, and socio-economic structures. She has pioneered digital indexing of medieval manuscripts while maintaining rigorous historiographical standards. Recent publications analyze 10th-14th century censuales records (2024) and Carolingian marriage trials (2025). Her 2023 book Unter dem Schutz der hl. Maria examines medieval women's agricultural labor and protection money systems. Awards : Excellence Scholarship for Women (1993-1998) UNESCO Fellowship (2000) ICARUS Executive Board Member (2010-present) Grants : DFG Projekt "Urkundenlandschaft" (2007-2009) As principal editor of the Freising Manuscripts Project , she oversees digital editions of the Cozroh Codex and Libri Censuales. Her lab collaborates with Bavarian State Archives, Bavarikon, and Sorbonne University.

Brent T. Langhalsمشاهده پروفایل

دانشیار

• Data Analytics
• Database Systems
• Human-Computer Interaction
• +۳ مورد دیگر

Dr. Brent T. Langhals serves as Associate Professor of Information Resource Management at the Air Force Institute of Technology (AFIT), Department of Systems and Engineering Management, Wright-Patterson AFB, OH. He directs the AFIT Data Analytics Program and chairs the Information Systems specialization curriculum, actively contributing to defense-focused research and graduate education. Education: Ph.D. in Management - Management Information Systems Concentration (minor: Systems and Industrial Engineering), University of Arizona, Eller College of Management (2011). Dissertation: "Using Eye and Head Based Psychophysiological Cues to Enhance Screener Vigilance" M.S. in Information Resource Management, Air Force Institute of Technology (2001). Thesis: "The Effect of Varying Arousal Methods upon Vigilance and Error Detection in an Automated Command and Control Environment" B.S. in History, United States Air Force Academy (1995) Research Focus: Dr. Langhals' work integrates data analytics , database systems , and human-computer interaction with systems engineering principles. His investigations into psychophysiological cues and operator vigilance bridge cognitive science with defense applications, yielding practical solutions for security screening, aviation interfaces, and military decision-making. Current projects emphasize machine learning for predictive analytics in high-stakes environments. Publication Trends: Recent work demonstrates interdisciplinary reach across defense logistics (F-22 sortie cancellations, construction contracts), public health (marijuana use, food insecurity), and emerging technologies (UAS applications, NoSQL databases). His scholarship consistently applies data science to military challenges while advancing fundamental research in human factors and database engineering. Scientific Recognition: Two-time Sigma Iota Epsilon Instructor of the Year (2024, 2018) Department Educator of the Year (2013) Multiple Air Force commendations including Field Grade Officer of the Quarter (2008, 2006) Mentorship & Leadership: Dr. Langhals has graduated 59 Master's/PhD students (38 residential, 21 distance learning) while teaching core courses in Database Systems, Data Analytics, and Strategic Information Management. His research leadership spans contracts in data management, systems engineering, and human performance optimization for Department of Defense applications. Research Infrastructure: As Data Analytics Program Director, he oversees AFIT's research ecosystem for defense data science, coordinating faculty and resources across the Department of Systems and Engineering Management to develop next-generation analytical capabilities for Air Force missions.

Vijay Chidambaramمشاهده پروفایل

دانشیار

• Computer Systems
• Storage Systems
• Distributed Systems
• +۵ مورد دیگر

Vijay Chidambaram is an Associate Professor in the Department of Computer Science at The University of Texas at Austin, where he leads the UT Systems and Storage Lab. His research focuses on building next-generation storage systems with higher performance and stronger reliability, developing both storage systems and testing frameworks to ensure rigorous development. He is also part of the UT Data Systems group and the LASR research group at UT Austin. Ph.D. in Computer Science, University of Wisconsin–Madison M.S. in Computer Science, University of Wisconsin–Madison B.E. in Computer Science, College of Engineering, Guindy Chidambaram's research interests center on computer systems, particularly storage systems, distributed systems, and databases. His work addresses critical challenges in crash consistency, persistent memory file systems, and storage reliability. His group has made significant contributions to understanding and solving crash-consistency bugs, developing innovative testing frameworks, and building open-source storage systems that impact both academia and industry. They focus on innovation at both the data-structure level and systems level, with recent work exploring CXL-based database architectures and verification tools for storage systems. His research group has produced numerous influential publications in top-tier conferences including OSDI, FAST, ATC, and EuroSys, with several best paper awards. Their work spans from theoretical foundations of crash consistency to practical implementations of high-performance storage systems, with a consistent emphasis on open-sourcing their software to maximize impact. Distinguished Artifact Award at OSDI 2025 Best Paper Award at EuroSys 2023 Best Paper Award at ATC 2018 Best Paper Award at FAST 2018 NSF CAREER Award 2018 Microsoft Research Graduate Fellowship 2014 ACM SIGOPS Dennis M. Ritchie Dissertation Award 2016 Chidambaram actively mentors PhD students, with current advisees including Minh Phan, Talia Chen, Nitin Mathai, and Shurang Wu. His former students have gone on to positions at Microsoft Research, HP Labs, Apple, and academia. He has secured significant research funding, including NSF grants and industry collaborations. Beyond research, he serves on program committees for major systems conferences and co-founded the open-access Journal of Systems Research. He also teaches courses including Virtualization, Advanced Operating Systems, and Distributed Systems, and authored the CS Assistant Professor Handbook, a guide for new computer science faculty. His UT Systems and Storage Lab maintains close industry collaborations while pursuing fundamental research questions in storage systems. The lab is known for its rigorous approach to systems research, combining theoretical insights with practical implementations, and has developed multiple open-source systems that have influenced both academic research and industry practice.

Abid Hussainمشاهده پروفایل

دانشیار

• Information Systems
• Design Science
• Big Data Analytics
• +۲ مورد دیگر

Abid Hussain serves as Associate Professor at Copenhagen Business School's Department of Digitalization, specializing in the convergence of digital technologies and organizational practices with emphasis on data-driven solutions and privacy-centric systems development. His research portfolio spans: Design Science in Information Systems Big Social Data and Big Data Analytics Enterprise Software Development (web, database, desktop solutions) Privacy by Design frameworks and data protection tools He has engineered solutions for data collection, transformation, and analytics pipelines alongside enterprise system integrations involving API security, document sharing, and WSDL protocols. Publication trends (2018-2025) reveal consistent innovation in privacy-preserving technologies (blockchain-based access control), immersive educational tools (VR classrooms), and multilingual social analytics. His work demonstrates interdisciplinary impact across computational social science, business informatics, and public health through event management systems, climate psychology studies, and interorganizational data sharing frameworks.

Chengnian Sunمشاهده پروفایل

دانشیار

• Software Engineering
• Programming Languages
• Program Reduction
• +۵ مورد دیگر

Chengnian Sun is an Associate Professor in Software Engineering and Programming Languages at the University of Waterloo, Canada. His research spans program reduction, software testing, and compiler-related technologies, with a focus on developing practical tools for debugging and testing. Dr. Sun's research interests center on Software Engineering and Programming Languages , particularly in program reduction techniques, compiler testing, and software security. His work bridges theoretical foundations with practical applications, developing frameworks like Perses and Latra that have become influential in the software engineering community. His research demonstrates a consistent evolution from basic program reduction techniques to incorporating modern approaches like LLMs for compiler testing. His recent publications show a strong trend toward language-agnostic transformation frameworks and practical debugging tools , with increasing emphasis on security applications and integration of AI techniques. The research spans both theoretical foundations and practical implementations, with several tools developed becoming widely used in the software engineering community. Dr. Sun has served on program committees for major software engineering conferences including ASE, ICSE, ESEC/FSE, and ISSTA, demonstrating his standing in the research community. His extensive publication record shows consistent high-impact contributions across multiple venues, with particular emphasis on program reduction and compiler testing techniques. His work has led to the development of several influential tools including Perses (syntax-guided program reduction), Latra (template-based transformation framework), and AddressWatcher (memory leak localization). These tools have been widely adopted in both academic and industrial settings for debugging and testing purposes.

Lingxiao Jiangمشاهده پروفایل

دانشیار

• Software Engineering
• Program Analysis
• Software Testing & Debugging
• +۵ مورد دیگر

Lingxiao Jiang is an Associate Professor at the School of Computing and Information Systems (SCIS) at Singapore Management University (SMU) in Singapore. His research and teaching interests focus on software engineering, program analysis, testing & debugging, code search & reuse, and deep learning & analysis of code. He is actively involved in multiple research tracks across major software engineering conferences including ASE, ICSE, ESEC/FSE, and MSR. His research interests encompass practical techniques and tools that enhance software quality, increase development productivity, reduce maintenance cost, and improve user experience. He also explores programming languages, systems, security & privacy, data mining, and machine learning to solve software engineering and security problems. His work focuses on context-aware software mining, analysis, and deep learning, with applications in code clone detection, code query processing, bug detection, search for bug fixes, refactoring, and testing & debugging techniques. Professor Jiang's research involves large-scale, diverse, contextual data sources beyond program code, including code change histories, bug databases, test suites, developer activities, user feedbacks, and socio-technical information. His methodology leverages static & dynamic program analysis, code representations, software engineering methodologies, natural language processing, information retrieval, data mining, deep learning, and distributed computing techniques. His research has resulted in numerous publications with significant impact, including the DECKARD tool which received the ACM SIGSOFT Impact Paper Award in 2018. His work spans various areas including scalable code clone detection, deep learning of code, and analysis of software repositories. Scientific Awards: ACM SIGSOFT Impact Paper Award 2018 for DECKARD paper ICSE '18 Distinguished Paper Award for Hierarchical learning of cross-language mappings Professor Jiang actively advises graduate students and has mentored numerous PhD and Master's students to completion. He also leads the Centre for Research on Intelligent Software Engineering (RISE) at SMU, which focuses on high-quality and impactful research in intelligent software engineering. His research has practical applications in various domains including Android security, smart contracts, drone security, and compiler testing.

Dominik Schoopمشاهده پروفایل

استاد

• Privacy Enhancing Technologies
• Software Security
• Software Testing
• +۳ مورد دیگر

Prof. Dr. Dominik Schoop serves as a Professor at Esslingen University of Applied Sciences within the School of Computer Science and Engineering. His institutional roles include Officer for Data Protection and Member of the Data Processing Committee, with contact details at Room F 01.354, Flandernstraße 101, 73732 Esslingen. Email: Dominik.Schoop@hs-esslingen.de Phone: +49 711 397-4467 His research spans Privacy Enhancing Technologies, Software Security (including Testing and Verification), and Connected Car systems, with emphasis on automotive safety protocols and network security. Teaching responsibilities cover foundational and advanced topics including Programming (OOP/C++), Databases, Computer Networks (TCP/IP, security), IT Security, and Laws for Data Protection. As Departmental International Coordinator for IT, he facilitates global academic collaborations. Consultation hours are available by appointment.

Steven Fisherمشاهده پروفایل

استاد پژوهشی

• Retinal Cell Biology
• Neuroscience
• Imaging Technologies
• +۳ مورد دیگر

Steven Fisher is a Research Professor and Distinguished Professor Emeritus at the University of California, Santa Barbara (UCSB), affiliated with the Department of Molecular, Cellular, and Developmental Biology. He directs the Retinal Cell Biology Lab within the Neuroscience Research Institute (NRI). His research focuses on retinal cell biology, particularly using imaging techniques to study photoreceptor degeneration and regeneration in models of retinal detachment. Fisher's work explores cellular changes in retinal diseases like age-related macular degeneration and diabetic retinopathy, with collaborations on stem cell therapies and animal models of human conditions like central serous chorioretinopathy (CSR). Affiliations: UCSB MCDB, NRI, Fisher Lab Key techniques: Electron microscopy, confocal imaging, bio-image informatics Research themes: Retinal detachment pathology, Müller cell reactivity, astrocyte plasticity Education: Ph.D. from Purdue University and Johns Hopkins University, postdoctoral training under John Dowling at the Wilmer Eye Institute. He joined UCSB in 1971, leading NRI from 1984–2001. His lab pioneered studies on retinal remodeling and developed imaging tools like BioView3D and BISQUE databases. Publications span over 40 years, emphasizing retinal degeneration mechanisms and therapeutic strategies. Collaborations include the California Institute for Regenerative Medicine (CIRM)-funded stem cell trials for retinitis pigmentosa.

Susan Cheyneمشاهده پروفایل

مدرس ارشد

• Primate Conservation
• Biological Anthropology
• Gibbon Ecology
• +۴ مورد دیگر

Dr. Susan Cheyne is a Senior Lecturer in Biological Anthropology and Primate Conservation at Oxford Brookes University's School of Law and Social Sciences. She co-directs the Borneo Nature Foundation International and BRINCC (Borneo River Initiative for Nature Conservation and Communities), leading long-term research on gibbon behavior, ecology, and conservation in Indonesian Borneo. Her work extends to felid biodiversity studies, peat-swamp forest recovery, and captive primate management. Research Interests: Dr. Cheyne's expertise spans primate socio-ecology, conservation policy, and community-based initiatives. She investigates gibbon vocalizations for conservation applications, tropical peatland restoration post-fire, and strategies to mitigate infrastructure impacts on primates. Her research emphasizes interdisciplinary approaches to biodiversity protection in Southeast Asia. Publications: Recent articles focus on conservation efficacy, including field station investments, primate roadkill mitigation, and combating illegal wildlife trade. Trends highlight applied conservation science, community engagement, and innovative monitoring techniques like arboreal camera trapping across threatened ecosystems. Professional Engagement: She supervises MSc, MRes, and PhD candidates and serves as Vice Chair of the IUCN Section on Small Apes. Dr. Cheyne designs workshops for early-career conservationists and contributes to IUCN Specialist Groups for primates and felids.

Trent Walkerمشاهده پروفایل

استادیار

• Buddhism
• Southeast Asian Studies
• Buddhist Literature
• +۶ مورد دیگر

Trent Walker is an Assistant Professor in the Department of Asian Languages and Cultures at the University of Michigan, specializing in Southeast Asian Buddhism, literature, and music. He holds a PhD in Buddhist Studies from UC Berkeley (2018) and completed postdoctoral work at Chulalongkorn University and Stanford’s Ho Center for Buddhist Studies. His research focuses on handwritten Buddhist materials (bark-paper documents, palm-leaf manuscripts, stone inscriptions) from Thailand, Cambodia, Laos, Myanmar, and Vietnam, analyzing their performative roles in chanting, ritual, and oral transmission. Key projects include the in-progress monograph Classical Reading, Vernacular Writing: A Bitextual History of Southeast Asian Buddhism and co-curating the Buddhist Digital Resource Center’s 2 million-page manuscript database. 2024 Khyentse Foundation Prize for Outstanding Translation Authored Until Nirvana’s Time: Buddhist Songs from Cambodia (2022) Co-edited Out of the Shadows of Angkor: Cambodian Poetry, Prose, and Performance through the Ages (2022) Developed digital tools for Lao, Shan, Thai, and Tham script input Walker teaches courses on Theravada Buddhism, Southeast Asian literature, Buddhist magic, and translation studies, with previous teaching experience at UC Berkeley, Stanford, and Chulalongkorn University. His work bridges academia and cultural preservation through collaborations on Cambodian genocide memorialization (e.g., Bangsokol: A Requiem for Cambodia ).

Kristin Perssonمشاهده پروفایل

استاد

• Materials Science
• Computational Materials Design
• Battery Materials
• +۷ مورد دیگر

Kristin Persson is a Professor of Materials Science and Engineering at the University of California, Berkeley, where she also serves as Director of the Molecular Foundry. She is a Faculty Staff Scientist at Lawrence Berkeley National Laboratory, based in the Energy Sciences Area (ESA). Her research focuses on computational materials science for energy applications, leading the internationally recognized Persson Group and the Materials Project initiative. Professor Persson's research interests center on applying atomistic and first-principles computational methods coupled with high-performance computing and machine learning to advance materials for clean energy production and storage. Her group specializes in designing novel photocatalysts, multi-valent battery electrode materials, Li-ion battery electrode materials, polar materials, and liquid electrolytes. The Materials Project, which she directs, is a multi-national effort to compute the properties of all inorganic materials and provide this data and associated analysis algorithms free of charge, with the ultimate goal of drastically reducing the time needed to invent new materials for societal needs. Her recent publications reveal a strong trend toward data-driven materials discovery, with significant focus on battery materials (particularly zinc-ion and lithium-ion systems), sustainable materials design, and the development of computational frameworks for materials prediction. There's a clear emphasis on machine learning applications in materials science, as well as growing interest in circular economy approaches for materials and chemical recycling. Member of the National Academy of Engineers (NAE) 2024 Distinguished Scientist Fellow by the U.S. Department of Energy's Office of Science Foreign member of the Royal Swedish Academy of Sciences Fellow of the Materials Research Society Fellow of the American Physical Society (APS) Cyril Stanley Smith Award recipient Recognized by Web of Science as top 1% highly cited researcher Professor Persson has mentored numerous graduate students and postdocs, many of whom have received prestigious fellowships and awards. Her research is supported by significant grants from the Department of Energy, including through the Joint Center for Energy Storage Research (JCESR) and the Electrolyte Genome project. She has led several major computational initiatives that have been recognized with the Secretary of Energy Honor Award. The Persson Group operates within the Energy Sciences Area at Lawrence Berkeley National Laboratory, collaborating closely with the Molecular Foundry (which she directs) and maintaining strong connections with experimental groups at JCAP (Joint Center for Artificial Photosynthesis) and other DOE-funded centers. The group follows a public group handbook that emphasizes collaborative research practices and open science principles.

• Computer Vision
• Deep Learning
• Remote Sensing
• +۵ مورد دیگر

Lin Xiong is a Professor at Xidian University's School of Artificial Intelligence, Department of Computer Science, with an extensive publication record spanning from 2008 to 2025. His research primarily focuses on computer vision, deep learning, and remote sensing applications, with significant contributions to SAR image processing, domain adaptation techniques, and environmental monitoring systems. Dr. Xiong's educational background includes advanced studies in computer science and artificial intelligence, though specific details of his degrees are not readily available in the publication record. His research interests span multiple domains including computer vision (particularly facial recognition and person re-identification), deep learning architectures, domain adaptation methods, and remote sensing applications for environmental monitoring. His publication trends reveal a strong focus on practical applications of deep learning, with recent work emphasizing class-incremental learning, SAR image registration, and environmental monitoring using lidar technology. The research spans both theoretical advancements in neural network architectures and practical implementations in fields ranging from renewable energy forecasting to coastal ecosystem monitoring. Knowledge distillation techniques for continual learning Advanced SAR image processing algorithms Domain adaptation methods for computer vision tasks Environmental monitoring using remote sensing technology Dr. Xiong has established significant collaborations with researchers from NASA (notably on mangrove ecosystem monitoring projects) and maintains strong connections within China's academic community, particularly with Xidian University colleagues. His work demonstrates both theoretical depth and practical applicability across multiple domains requiring advanced computer vision and machine learning solutions.

Dorin RADUمشاهده پروفایل

دانشیار

• Structural integrity
• Steel structures
• Fracture mechanics
• +۲ مورد دیگر

Dorin RADU serves as an Associate Professor in the Department of Civil Engineering at the Faculty of Civil Engineering, Transilvania University of Brasov, Romania. His office is located in Building J, Room JII3b at Turnului 5, Brașov, with contact email dorin.radu@unitbv.ro and phone +40 711 975623. His primary research spans structural integrity, steel structures, fracture mechanics, building materials, and life cycle assessment of construction processes. This work focuses on failure analysis, structural rehabilitation, and sustainable material development, addressing critical challenges in infrastructure safety and longevity through experimental and computational methods. Analysis of his 2024-2025 publications reveals dominant themes in structural failure mechanisms (particularly welded joints and concrete elements), seismic performance assessment, and advanced material applications. Key trends include fracture mechanics in multi-defect scenarios, CFRP reinforcement techniques for fatigue-damaged structures, seismic vulnerability studies informed by recent earthquakes, and optimization of composite systems for critical infrastructure. His work consistently integrates finite element analysis with experimental validation across civil and industrial contexts. His research directly addresses real-world engineering challenges including post-earthquake structural assessment, critical infrastructure protection against hybrid threats, oil and gas construction safety, and disaster recovery solutions through innovative temporary bridge systems. This practical orientation demonstrates strong industry relevance while advancing fundamental understanding of structural behavior under extreme conditions.

Cynthia Gleasonمشاهده پروفایل

دانشیار

• Plant Pathology
• Nematology
• Plant-Microbe Interactions
• +۴ مورد دیگر

Cynthia Gleason is an Associate Professor in the Department of Plant Pathology at Washington State University (WSU), part of the College of Agricultural, Human, and Natural Resource Sciences. Her research focuses on plant-parasitic nematodes, particularly root-knot nematodes such as Meloidogyne chitwoodi, which threaten potato crops in the Pacific Northwest. She investigates genetic and molecular mechanisms underlying nematode parasitism and plant defense responses. Dr. Gleason holds a Ph.D. in Biochemistry and Molecular Biology from the University of California, Davis (2003), and has held academic positions at institutions including Georg-August-University Göttingen in Germany and CSIRO in Australia. Her research employs gene expression analysis, transgenic plants, and bacterial systems to study nematode effector proteins and host resistance mechanisms. Key projects include identifying novel pathogenicity genes in M. chitwoodi and leveraging plant elicitors delivered by bacteria to enhance crop resistance. She collaborates on developing diagnostic tools, such as Loop-Mediated Isothermal Amplification (LAMP) assays, and genomic resources like the NemaTaxa database to improve nematode detection and management. Dr. Gleason’s work bridges fundamental science and applied agriculture, addressing both basic biological questions and practical challenges in crop protection. Her contributions span nematology, molecular biology, and bioinformatics, with a focus on sustainable solutions for plant-parasitic nematode control.

• Animal Ecology
• Conservation Biology
• Avian Migration
• +۵ مورد دیگر

Ralph Buij is a Researcher in Animal Ecology at Wageningen University, focusing on avian migration, conservation biology, and human-wildlife interactions. His work spans studies on raptors, protected area dynamics, and the health implications of illegal wildlife trade. He collaborates internationally on projects in Africa and Europe, addressing threats to biodiversity such as poisoning and wind energy impacts. Buij co-supervises PhD candidates exploring urban wild meat value chains, vulture ecology, and solar panel effects on biodiversity. His research integrates field data with technological tools like eDNA and GPS tracking to inform conservation policies. Key contributions include documenting population declines in African savanna raptors and assessing risks of wind turbines to migratory birds. He has published on topics ranging from eagle migration patterns to zoonotic disease transmission in wildlife markets. Media engagements highlight his expertise in wildlife conservation challenges, such as vulture poisoning and goose management in the Netherlands. Current projects include analyzing health risks in urban wild meat chains (Nairobi and Lagos) and managing goose populations through adaptive flyway strategies. He leads initiatives to balance renewable energy development with biodiversity protection, emphasizing evidence-based policy solutions.