جست‌وجوی استاد و پژوهشگر

Yangbo Yeمشاهده پروفایل

استاد

• Number Theory
• Medical Imaging
• Automorphic Forms
• +۳ مورد دیگر

Yangbo Ye is a Professor in the Department of Mathematics at the University of Iowa. He holds a PhD from Columbia University. His research focuses on Number Theory and Medical Imaging, with notable contributions in automorphic forms, L-functions, and advancements in medical image reconstruction techniques. His work bridges pure mathematics and applied fields, particularly in computational tomography and deep learning applications. Ye's research in Number Theory includes studies on analytic aspects of automorphic forms, subconvexity bounds for L-functions, and applications of Petersson's formula. In Medical Imaging, he has developed algorithms for CT reconstruction, including framelet-based methods and neural network approaches for tumor segmentation. His interdisciplinary work has led to advancements in both theoretical mathematics and practical medical imaging technologies. Selected publications highlight his exploration of GL(n) automorphic forms, resonance sums, and innovative CT scanning methodologies. Despite his extensive publication record, no specific awards or grants are explicitly listed in the provided text. He advises no listed students but has collaborated on numerous projects in computational mathematics and biomedical imaging. Ye’s research also extends to algebraic structures in number theory, including functoriality and Dirichlet series, while his medical imaging work addresses challenges in spiral CT data reconstruction and interior tomography. His contributions reflect a deep integration of mathematical theory with real-world applications in healthcare technology.

Cemal Cem Tasanمشاهده پروفایل

دانشیار

• Physical Metallurgy
• Solid Mechanics
• Materials Characterization
• +۵ مورد دیگر

Professor Cemal Cem Tasan is the POSCO Associate Professor of Metallurgy and Director of the Materials Research Laboratory at the Massachusetts Institute of Technology (MIT), within the School of Engineering's Department of Materials Science and Engineering. His research bridges physical metallurgy, solid mechanics, and in-situ microscopy to design damage-resistant alloys. He earned his BS and MS from Middle East Technical University (Turkey) and a PhD from Eindhoven University of Technology (Netherlands), followed by postdoctoral and group leadership roles at the Max-Planck-Institut für Eisenforschung (Germany). He joined MIT's faculty in 2016 and was granted tenure in 2022. Research Focus: Tasan's group develops novel in-situ characterization tools to study microstructural mechanisms in metallic materials, including hydrogen embrittlement, deformation, and phase transformations. Key areas include alloy design for enhanced damage resistance, microstructure-property relationships, and sustainable materials processing. Advising & Leadership: As Director of the Materials Research Laboratory, he oversees interdisciplinary research initiatives. No formal advisees are listed in the provided text, but his work involves collaborative teams across academia and industry. Labs/Teams: Tasan Group (MIT), Materials Research Laboratory (MIT).

• Accounting Information Systems
• Ontology
• Blockchain
• +۳ مورد دیگر

William McCarthy serves as a Professor in the Department of Accounting and Information Systems at Michigan State University's Broad College of Business. His research pioneered the Resource-Event-Agent (REA) accounting ontology, establishing foundational frameworks for modern accounting information systems. With ongoing teaching activities documented through 2024 (including graduate courses ACC-821, ACC-823, and ACC-825), he remains an active faculty member advancing the integration of emerging technologies like blockchain into accounting practice. McCarthy's research spans Accounting Information Systems, Ontology, Blockchain, Enterprise Information Systems, Semantic Modeling, and Design Science. He developed the REA model as a generalized framework for shared-data accounting environments, later expanding it into formal ontologies for enterprise modeling. His current work analyzes blockchain's disruptive potential in accounting systems, as highlighted in the Spartan BizCast episode and New York City conference presentations. This research bridges theoretical accounting models with practical enterprise applications through semantic modeling and design science methodologies. Analysis of his 15 most recent publications (1997-2013) reveals three evolving research trajectories: (1) ontological expansion of the REA model into policy specifications and temporal dimensions, (2) blockchain and internet-era applications for supply chain collaboration, and (3) design science methodology development for accounting information systems. His work consistently emphasizes semantic modeling to create interoperable enterprise architectures while addressing innovation gaps between academic research and professional practice. Professor McCarthy has mentored graduate students through specialized courses in accounting information systems from 2011-2024, with teaching ratings publicly available. While the provided text doesn't detail specific grants or awards, his sustained publication record in premier journals like The Accounting Review and Accounting Horizons demonstrates significant research impact. No laboratory or research team affiliations are mentioned in the source materials.

Roman Gundackerمشاهده پروفایل

مدرس

• Egyptian linguistics
• lexicography
• language history and language contacts
• +۲ مورد دیگر

Roman Gundacker is a Senior Research Associate at the Austrian Academy of Sciences and Lecturer in Egyptology at the University of Vienna. He holds a doctorate 'sub auspiciis praesidentis rei publicae' (2009/2010) and has been active in academia since 2005. Master's (2005): University of Vienna, thesis on early Fourth Dynasty chronology Doctorate (2010): University of Vienna, dissertation on Pyramid Texts linguistic stratification His research focuses on Egyptian linguistics , lexicography , language history , and chronology . He leads the ERC Starting Grant project Challenging Time(s): A New Approach to Written Sources for Ancient Egyptian Chronology (since 2018), which evaluates historical timekeeping through textual analysis. Recent publications highlight trends in Old Kingdom royal names , Pyramid Texts analysis , and linguistic evolution from the Dreisilbengesetz to Zweisilbengesetz . His work spans historical linguistics , onomastics , and funerary literature . Scientific Awards : APART fellowship (2014–2017), Doctorate 'sub auspiciis praesidentis rei publicae'

• Computer Vision
• Machine Learning
• Remote Sensing
• +۴ مورد دیگر

Min Liu is a Professor at the Institute of Computing Technology, Chinese Academy of Sciences, where they lead research at the intersection of computer vision, machine learning, and remote sensing applications. With an extensive publication record spanning from 1998 to 2025, their work demonstrates significant contributions to multiple scientific domains. Professor Liu's research interests span computer vision, machine learning, remote sensing, image processing, artificial intelligence, and environmental monitoring. Their work uniquely bridges theoretical computer science with practical applications in environmental science, particularly in analyzing climate change impacts, vegetation dynamics, and water resource management. Recent publications reveal a strong focus on applying deep learning techniques to solve complex problems in geospatial analysis and environmental monitoring, with particular attention to Chinese ecosystems and urban environments. Analysis of Professor Liu's recent publications (2023-2025) shows a clear trend toward interdisciplinary research that combines advanced computer vision techniques with environmental science applications. Their work frequently employs deep learning architectures like feature pyramid networks, graph convolutional networks, and self-attention mechanisms to address challenges in remote sensing image analysis, object detection, and environmental monitoring. A significant portion of their research focuses on China-specific environmental challenges, including urbanization impacts on vegetation, salt marsh carbon stock estimation in the Yangtze River estuary, and lake water body extraction from satellite imagery. Professor Liu has made significant contributions across multiple domains including: Environmental monitoring using remote sensing data Deep learning applications for geospatial analysis Computer vision algorithms for object detection and image segmentation Climate change impact assessment through data-driven approaches Ecosystem modeling and analysis Their research demonstrates strong methodological innovation while maintaining practical relevance to pressing environmental challenges, particularly those facing China's rapidly urbanizing landscape and changing ecosystems.

Smoki Musarajمشاهده پروفایل

دانشیار

• Economic Anthropology
• Theories of Money and Value
• Informal Economies
• +۱۳ مورد دیگر

Smoki Musaraj is an Associate Professor in the Department of Sociology and Anthropology at Ohio University's College of Arts and Sciences. She is also affiliated with the Center for Law, Justice & Culture and International Studies. Her research spans economic anthropology, legal anthropology, and the socio-cultural transformations of postsocialist Southeast Europe, particularly Albania. Ph.D. in Anthropology, New School for Social Research, 2012 M.A. in Political Science, New School for Social Research, 2004 B.A. in Cultural Studies and Political Studies, Trent University, 2001 Her research focuses on economic practices at the margins , including informal economies, pyramid schemes, remittances, digital money, and housing speculation. She explores how value, trust, and credibility are constructed in contexts of rapid political and economic change. Her ethnographic work in Albania examines ponzi logics, corruption, and financialization , while her newer projects investigate mass tourism and migration in Mediterranean cities like Marseille and Barcelona. Her publications include the award-winning book Tales from Albarado and co-edited volumes on money and Albanian reconstruction. Her recent articles, published in American Anthropologist , Ethnos , and Current Anthropology , reflect a strong trend toward analyzing financialization, informal economies, and the social life of indicators in postsocialist and Mediterranean contexts. She has received numerous accolades, including: Stavro Skëndi Book Prize (2020) Germaine Tillion Chair at IMERA (2023) New York Public Library Fellowship (2020) Ohio University Distinguished Mentor and Tutor Awards Musaraj has advised students in the Honors Tutorial College and received funding from the National Science Foundation, Social Science Research Council, and Ohio University Research Committee. She is currently book review co-editor for PoLAR: Political and Legal Anthropology Review and continues to lead innovative ethnographic research on urban and financial transformations. Her work is conducted through long-term ethnographic fieldwork, including participant observation, interviews, and media analysis, often in multi-sited settings. She leads research on housing practices like klering in Albania and urban change in the Mediterranean, contributing to broader debates on global capitalism, inequality, and the right to the city .

János Tóthمشاهده پروفایل

استادیار مدعو

• Ensemble Systems Optimization
• Big Data Analytics
• Machine Learning
• +۳ مورد دیگر

Dr. János Tóth is an Adjunct Assistant Professor at the Department of Data Science and Visualization within the Faculty of Informatics at the University of Debrecen. His research focuses on optimization of ensemble systems and big data analytics. Institution: University of Debrecen School: Faculty of Informatics Department: Data Science and Visualization Rank: Adjunct Assistant Professor Email: toth.janos@inf.unideb.hu Research Interests: Dr. Tóth specializes in optimizing ensemble systems for medical image analysis and big data processing. His work spans: Parameter optimization techniques for ensemble models Integration of classical image processing with deep learning Medical data visualization solutions Applications in diabetic retinopathy detection Handling unstructured Hungarian medical reports Cloud-based machine learning pipelines Publication Trends: Over the past decade, Dr. Tóth's research has shown consistent focus on medical image analysis (particularly fundus and Pap smear imaging) combined with ensemble learning approaches. His work includes algorithm optimization (2014-2022), data visualization techniques (2012-2024), and natural language processing for Hungarian medical reports (2024). Recent publications (2024) demonstrate continued innovation in machine learning applications for both healthcare and business domains.

Scott Schaeferمشاهده پروفایل

استاد

• Computer Graphics
• Geometric Modeling
• Mesh Processing
• +۴ مورد دیگر

Scott Schaefer is a Professor and Department Head of the Department of Computer Science & Engineering at Texas A&M University, holding the Lynn '84 and Bill Crane '83 Department Head Chair. He leads research in computer graphics, geometric modeling, and computational geometry, with significant contributions to mesh processing, parameterization, and barycentric coordinates. Education: B.S. in Computer Science and Mathematics from Trinity University (2000) M.S. in Computer Science from Rice University (2003) Ph.D. in Computer Science from Rice University (2006) Dr. Schaefer's research focuses on geometric modeling, computer graphics, and computational geometry. His work primarily addresses mesh processing, surface parameterization, barycentric coordinates, and curve design. He has developed innovative techniques for mesh denoising, point cloud processing, texture filtering, and bijective parameterization. His research often combines theoretical foundations with practical applications in computer graphics and visualization. His work has significant implications for 3D modeling, animation, and geometric data processing. His recent publications demonstrate a strong focus on geometric processing using optimization techniques like L0 minimization, advanced parameterization methods, and novel barycentric coordinate systems. His work spans from theoretical foundations of geometric representations to practical applications in mesh processing and texture mapping. A consistent theme is developing mathematically sound methods that preserve geometric features while optimizing for computational efficiency. Scientific Awards: Best Paper Award at SGP for "A Family of Barycentric Coordinates for Co-Dimension 1 Manifolds with Simplicial Facets" Third Best Paper Award for "Isometry-Aware Preconditioning for Mesh Parameterization" Best Paper Award for "Wavelet Rasterization" NSF CAREER Award TEES Research Impact Award Associate of Former Students Distinguished Achievement Award in Teaching SEC Academic Leadership Development Program Fellow Dr. Schaefer has advised numerous graduate students including Anshul Mendiratta (current), and former students such as Zhipei Yan (Nvidia), Jason Smith (Schlumberger), Lei He (Microsoft), Josiah Manson (Activision Research), Eric Landreneau (Blizzard Entertainment), Mayank Singh (University of Wisconsin La Crosse), and Kuiyu Li (Intel). His research has been supported by significant grants including the NSF CAREER Award, which represents the National Science Foundation's most prestigious award in support of early-career faculty. While specific lab information isn't detailed in the provided text, Dr. Schaefer appears to lead a research group focused on geometric modeling and computer graphics at Texas A&M University, with collaborations across institutions as evidenced by his co-authored publications with researchers from various organizations.

• Responsible Marketing
• Consumer Behaviour
• Bottom of the Pyramid (BOP) Markets
• +۱۲ مورد دیگر

Gauri Misra is a Lecturer in Marketing Communications at Bournemouth University, Faculty of Media and Communication. Her academic work bridges marketing and international development, with a strong focus on socially responsible and inclusive practices. She is actively engaged in research, teaching, and academic outreach. Research Interests: Gauri's research explores how marketing can be made more socially sustainable and responsive to marginalised consumers, particularly at the Bottom of the Pyramid (BOP). She investigates the role of Multinational Corporations (MNCs) in promoting inclusive development through responsible product innovation and marketing communications. Her work is grounded in transformative consumer research and qualitative methodologies, aiming to reconceptualise corporate responsibility and address market imperfections that affect vulnerable populations. Publication Trends: Her recent publications reflect a consistent focus on BOP markets, responsible marketing, and consumer well-being in developing contexts. They examine MNC strategies, inclusive growth, and the ethical dimensions of marketing to vulnerable consumers, aligning with global sustainability goals. Scientific Awards: No awards listed. Advising and Grants: There is no public information indicating current or past PhD or Master’s students under her supervision. While no specific grants are mentioned, her research aligns with impactful interdisciplinary themes that may attract funding related to sustainable development and responsible business. Labs and Research Teams: Gauri Misra is not explicitly affiliated with a named lab or research centre in the provided text. However, her work contributes to broader academic networks focused on macromarketing, public policy, and sustainable development, as evidenced by her conference participation and peer reviewing activities.

• Natural Language Processing
• Ethics in NLP
• Bias Detection
• +۸ مورد دیگر

Margot Mieskes is a Researcher in Natural Language Processing with a focus on Ethics in NLP , Bias Detection , Autism Detection , and Reproducibility in Research . She has contributed to Multilingual NLP , Multimodal Analysis , and Peer Review Practices through numerous publications and workshops. Research Trends: Her work addresses ethical guidelines for NLP, bias in multilingual models, emotion detection, and the challenges of replicating human evaluations. Key Contributions: Margot co-authored the 2024 survey on autism detection in speech, 2023 studies on cross-lingual bias evaluation, and 2019 analyses of summarization metrics and OCR impacts. Workshops: She actively participates in teaching NLP workshops (2016–2023) and tutorials on ethical research (2025) and reviewing practices (2020, 2021). Collaborations: Margot has collaborated with researchers like Nadine Probol, Karën Fort, and Michael Strube on topics ranging from disfluency detection to OCR preprocessing.

Mohit Bansalمشاهده پروفایل

استاد

• Natural Language Processing
• Multimodal Machine Learning
• Grounded and Embodied Semantics
• +۴ مورد دیگر

Mohit Bansal is the John R. & Louise S. Parker Distinguished Professor and Director of Graduate Admissions in the Computer Science Department at the University of North Carolina Chapel Hill. He leads the MURGe-Lab (UNC-AI Group) and serves as Lead (Core AI) for the ENGAGE NSF-AI Institute. Previously, he was a Research Assistant Professor at TTI-Chicago. Dr. Bansal earned his Ph.D. from UC Berkeley in 2013 under Dan Klein and his B.Tech. from IIT Kanpur in 2008. His research spans Natural Language Processing and Multimodal Machine Learning , with specific expertise in multimodal generative models, grounded and embodied semantics (language with vision/speech for robotics), faithful language generation, reasoning and planning agents, and interpretable deep learning. He employs techniques from structured prediction, reinforcement learning, and model editing to address challenges in compositional generalization and robustness. His recent work focuses on multimodal understanding, vision-language navigation, model merging, and evaluating/factuality in generative models. Trends show increasing emphasis on trustworthy AI, with projects addressing hallucination reduction, cultural bias diagnosis, and safe generation. His publications span top venues including ACL, CVPR, NeurIPS, and ICML, with significant contributions to multimodal foundation models and parameter-efficient learning. AAAI Fellow (2025) Presidential Early Career Award for Scientists and Engineers (PECASE) (2025) IIT Kanpur Young Alumnus Award (2023) DARPA Director's Fellowship (2019) NSF CAREER Award (2019) Microsoft Investigator Fellowship (2019) Outstanding Paper Awards at ACL, CVPR, EACL, COLING, and CoNLL Dr. Bansal has advised numerous PhD students who now hold positions at top institutions including UT Austin, NTU Singapore, JHU, Meta, and Adobe. His lab secures substantial funding from NSF, DARPA, NIH, and ONR, including the $20M NSF-AI Institute on Engaged Learning where he serves as Core AI Lead. Current projects include DARPA's Environment-driven Conceptual Learning (ECOLE) and ONR's Science of Artificial Intelligence program. The MURGe-Lab (Multimodal Understanding, Reasoning, and Generation) develops foundational models for multimodal tasks, with recent work on VideoTree for long video reasoning, SELMA for skill-specific text-to-image experts, and LASeR for adaptive reward model selection. The lab collaborates extensively with industry partners including Google, Meta, and Microsoft.

Kata Jasperمشاهده پروفایل

استادیار

• Egyptology
• History of Religion
• Middle Kingdom
• +۳ مورد دیگر

Kata Jasper is an Assistant Professor at Eötvös Loránd University in the field of Egyptology . Her research focuses on the intersection of ancient Egyptian religion , textual transmission , and Nubian cultural studies . She has authored and co-authored numerous publications on these topics, particularly centering on the deity Ha ('Lord of the West') and his role in Middle Kingdom and New Kingdom textual traditions. Her academic work explores: Iconographic and orthographic variations of Ha's name in regional contexts Scribal practices in Pyramid Texts and Coffin Texts Magical spell development and funerary rituals Comparative mythology between Egyptian deities (Horus, Osiris, Sopdu) Nubian ethnography, food culture, and tourism impacts Key trends in her publications include: Systematic analysis of Horus cippi and Magical texts Investigations into Western Desert symbolism and afterlife journeys Documenting Nubian social dynamics and cultural preservation While no scientific awards are documented, her work demonstrates significant engagement with textual criticism , regional paleography , and deity-personification studies . She has supervised no explicitly listed students but has collaborated with scholars like Dr. Tamás A. Bács and Julianna Kitti Paksi.

• Neuroscience
• Alzheimer's Disease
• Parkinson's Disease
• +۳ مورد دیگر

Ajit Ray serves as a Special Faculty-Senior Researcher at Carnegie Mellon University's Neuroscience Institute, an interdisciplinary research hub focused on advancing neural computation and systems neuroscience. His primary affiliation centers on investigating molecular mechanisms underlying neurodegenerative disorders through the institute's collaborative framework. Ray's research concentrates on Alzheimer's and Parkinson's disease pathogenesis with emphasis on redox signaling disruptions and cytoskeletal dynamics. Key investigations include amyloid-β-induced F-actin disassembly in dendritic spines, glutaredoxin-mediated neuroprotection against oxidative damage, and early hippocampal hyperexcitability in amyloidosis models. His work bridges molecular neuroscience with behavioral outcomes using transgenic mouse models, quantitative fluorescence imaging, and electrophysiological approaches to elucidate synaptic dysfunction mechanisms. Analysis of his publication record reveals a cohesive trajectory since 2016 where F-actin pathology serves as a unifying theme across neurodegenerative conditions. His most significant contributions demonstrate glutaredoxin-1's therapeutic potential in restoring cytoskeletal integrity and cognitive function, with recent work expanding into thalamocortical plasticity during sensory learning. This research program consistently connects molecular redox events to circuit-level alterations and behavioral deficits. No verifiable information exists regarding student mentorship, grant funding, or laboratory teams in the source materials. Similarly, details about educational background, scientific awards, or future research directions remain undocumented in the provided texts.

• Medical Image Segmentation
• Deep Learning
• Computer-Aided Diagnosis
• +۳ مورد دیگر

Zhe Liu is a researcher at Jiangsu University , School of Computer Science and Telecommunication Engineering, China. He has extensive collaborations across institutions including University of Edinburgh , IBM Almaden Research Center , and Nanyang Technological University . His research focuses on medical image segmentation , deep learning , and multimodal learning . Key areas include liver vessel segmentation , pancreas segmentation , lesion detection , and healthcare AI . He has developed frameworks like MMMViT and HI-Net to address challenges in missing modality handling and feature fusion . Recent publications highlight trends in 3D convolutional networks (RC-3DUNet with SOM), semi-supervised learning for segmentation, and anomaly detection in time-series medical data. His work often combines computer vision with clinical applications , emphasizing robustness and data efficiency . He has co-authored over 60 publications (2012-2025), frequently collaborating with Kai Han , Yuqing Song , and Victor S. Sheng on topics like medical imaging , deep learning , and biomedical signal processing .

Fred E. Ahrensمشاهده پروفایل

عضو هیئت علمی

• Mass Customization
• Operations/Supply Chain Management
• Knowledge Management
• +۱ مورد دیگر

Fred E. Ahrens is an Assistant Lecturer in the Department of Information Operations and Technology Management at the John B. and Lillian E. Neff College of Business and Innovation, University of Toledo. He holds a Ph.D. in Business Analytics and Operations Management from the University of Cincinnati College of Business (2015), an MBA in International Business from the same institution (2010), and dual Master's degrees in Mechanical Engineering from the University of Toledo (1996 and 1994). His research focuses on mass customization, supply chain management, knowledge management, and pedagogical innovations. Notable recent work includes exploring mass customization challenges in Base of Pyramid markets and analyzing knowledge exchange dynamics in supply chains. Earlier contributions address industrial applications of numerical methods and configurator-based design processes in manufacturing. Publications span journals like International Journal of Physical Distribution and Logistics Management and Journal of STEM Education . No scientific awards are explicitly listed. Advising and grant details are not provided in the text.