جستجوی استاد راهنمای دانشگاهی

• Data Analytics
• Artificial Intelligence Applications in Power Systems
• Renewable Energy Integration
• +۳ مورد دیگر

Anamitra Pal is an Associate Professor at Arizona State University's School of Electrical, Computer and Energy Engineering. His work focuses on power system resilience, renewable energy integration, and time-synchronized measurement analytics. He leads research initiatives combining artificial intelligence with grid modernization challenges. Ph.D. Electrical Engineering, Virginia Tech (2014) M.S. Electrical Engineering, Virginia Tech (2012) B.E. Electrical and Electronics Engineering, Birla Institute of Technology (2008) Prior to ASU, Pal conducted postdoctoral research at Virginia Tech's Network Dynamics and Simulation Science Laboratory (2014-2016). His research interests center on enhancing grid stability through: Advanced synchrophasor data analytics AI-driven power system security frameworks Renewable generation integration strategies Critical infrastructure protection during extreme events Recent publications demonstrate his focus on grid resilience during wildfires, deep learning-based state estimation, and innovative PMU applications. Pal has received multiple accolades including the NSF CAREER Award (2022) and IEEE Phoenix Section's Outstanding Young Professional Award (2019).

Frederick A. A. Kingdomمشاهده پروفایل

استاد

• Perception
• Cognition and Cognitive Neuroscience
• Spatial Vision
• +۸ مورد دیگر

Frederick A. A. Kingdom is a Professor in the Department of Ophthalmology at McGill University's Faculty of Medicine, focusing on Perception, Cognition and Cognitive Neuroscience . His research explores the interplay between early visual feature detection (edges, bars) and intermediate stages forming contours, textures, and surfaces through spatial vision, color vision, stereopsis, texture perception, brightness/lightness perception, and transparency studies . Email: fred.kingdom@mcgill.ca Key research domains include: Perceptual Mechanisms : Lateral inhibition, contrast normalization, spatial bandpass filters, and their role in brightness/lightness perception and illusions like simultaneous brightness contrast. Color Vision : Red-green vs blue-yellow system distribution, chromatic contrast requirements for stereopsis, color-based depth processing limitations, and color-shading effects that parse surfaces vs illumination. Texture Analysis : Detection thresholds for orientation/frequency/contrast modulated textures, co-circularity in texture perception, and texture statistical sensitivity (e.g., kurtosis importance). Shape Processing : Shape-frequency/shape-amplitude aftereffects, global vs local shape coding, and contour inflection adaptation. His work combines psychophysics , fMRI , image processing , and computational modeling to dissect visual system architecture, particularly how color and luminance signals are integrated/separated in early cortical processing.

• Computational Linguistics
• Computer Science
• Machine Learning
• +۱ مورد دیگر

Noah A. Smith is an Adjunct Professor of Computer Science and Engineering at the University of Washington. His work focuses on computational linguistics, machine learning, and natural language processing. He holds a Ph.D. in Computer Science from Johns Hopkins University (2006). His research explores ethical AI applications, multimodal systems, and foundational aspects of language models. Key research areas include: Ethical considerations in NLP, such as detecting rights abuses through text analysis Efficient decoding and alignment strategies for large language models Large-scale evaluation frameworks for multitask and multimodal generation Understanding pretraining dynamics and data composition effects Recent work emphasizes transparency in language models (e.g., tracing outputs to training data) and improving alignment through human feedback. He has contributed to open-source projects like OLMo and Dolma, advancing reproducibility in NLP research. No awards explicitly listed in provided texts. No specific advising or grant details available, though extensive publication output indicates active research involvement.

• Multimodal Learning
• Multilingual NLP
• Vision-Language Models
• +۴ مورد دیگر

Desmond Elliott is an Associate Professor in the Natural Language Processing section at the Department of Computer Science, University of Copenhagen (UCPH). His research focuses on multimodal and multilingual models with specific emphasis on vision-language integration and tokenization-free NLP approaches. He teaches Bachelor and Master's level courses including Advanced Topics in Natural Language Processing (since 2019), Grundlæggende Data Science (since 2023), and previously Data Science (2021-2023). His research interests center on building and understanding multimodal and multilingual models , particularly exploring vision and language interactions through billion-parameter systems. Current work investigates cultural representation disparities in vision-language models, parameter-efficient captioning, and multimodal distributional semantics across diverse domains including food culture and medical imaging. His methodology emphasizes real-world applicability in non-English contexts and ethical considerations in multimodal systems. Elliott's recent publications (2025) demonstrate leadership in multimodal NLP, with significant contributions to vision-language pretraining, multilingual evaluation frameworks, and clinical NLP applications. His work spans theoretical advancements in model architectures and practical implementations addressing challenges in low-resource languages and domain adaptation. Best Long Paper Award at EMNLP 2021 Best Poster Award at COLING 2019 As an active educator, Elliott contributes to courses on Fair and Transparent Machine Learning and previously taught Information Retrieval. His research collaborations span international institutions with particular focus on European and non-English language contexts, reflecting UCPH's recognition as Europe's #1 institution for HCI research over the past decade.

Piotr Koniuszمشاهده پروفایل

دانشیار

• Foundation Models
• Representation Learning
• Graph Learning
• +۴ مورد دیگر

Piotr Koniusz is a Principal Research Scientist at Data61/CSIRO and an Honorary Associate Professor at the Australian National University (ANU), with an Adjunct role at UNSW. He holds a PhD in Computer Vision from the University of Surrey (2013) and a BSc from Warsaw University of Technology (2004). His research focuses on Foundation Models, Representation Learning, and Few-shot Learning, with contributions to Graph Neural Networks and Adversarial Robustness. Key roles include Program Chair for NeurIPS’25, Senior Area Chair for ICML’25 and ICLR’25, and Workshop Co-Chair for WWW’25. Awards include the Sang Uk Lee Best Student Paper (ACCV’22) and recognition as an Outstanding Area Chair (ICLR 2021–2023). Research interests span Vision-Language Models (VLMs), Generative Adversarial Networks (GANs), and Domain Adaptation. He supervises PhD students at ANU and collaborates with industry on projects like traffic forecasting and ecotoxicology prediction.

Jinjin Haمشاهده پروفایل

استادیار

• Machine Learning in Materials Science
• Plasticity
• Ductile Fracture
• +۳ مورد دیگر

Jinjin Ha serves as an Assistant Professor in the Department of Mechanical Engineering at the University of New Hampshire, with her office located in Kingsbury Hall, Room W101a, Durham, NH. She teaches core mechanical engineering courses including Statics (ME 525), Materials Processing in Manufacturing (ME 742/842), Theory of Plasticity (ME 927), and Doctoral Research (ME 999), demonstrating active engagement in both undergraduate and graduate education. Her research program integrates computational mechanics with advanced manufacturing, focusing on: Machine learning applications for plasticity modeling and fracture prediction Deformation mechanics in incremental sheet forming processes Martensitic phase transformations in stainless steels Anisotropic material behavior and yield function development Ductile fracture characterization of titanium and aluminum alloys Analysis of her 2023-2024 publications reveals a decisive shift toward AI-driven mechanics, where neural networks solve complex constitutive modeling challenges in metal forming. This interdisciplinary approach bridges fundamental material science with industrial manufacturing optimization, particularly in toolpath design and phase transformation control. No scientific awards were documented in the provided profile information. While doctoral research supervision is indicated through ME 999 course listings, specific student names, grant funding details, laboratory facilities, or collaborative team structures were not disclosed in the available text.

• Computational Linguistics
• Psycholinguistics
• Language Processing
• +۴ مورد دیگر

Richard Futrell is an Associate Professor at the University of California, Irvine (UCI), affiliated with the Department of Language Science. He leads the Language Processing Group, focusing on computational models of human and machine language processing. His work bridges information theory, Bayesian cognitive modeling, and natural language processing (NLP) interpretability. University of California, Irvine Department of Language Science Language Processing Group leader His research examines how linguistic structures emerge from cognitive and communicative pressures. Key areas include dependency locality, surprisal theory in sentence processing, and efficiency-driven language evolution. He investigates how memory constraints, predictability, and information density shape syntactic and morphological patterns across languages. Recent publications analyze code-switching efficiency, syntactic priming, ERP component modeling, and agent-based language contact simulations. His work frequently employs Bayesian modeling, neural network analysis, and cross-linguistic corpora to uncover universal principles in language processing. ACL Best Paper Award (2024) Best Paper Award for Computational Modeling of Language (2023) Marr Prize for Best Student Paper (2017) He has developed datasets like SPACER for error repair analysis and contributed to phonotactic learning frameworks. His collaborations span cognitive scientists, computational linguists, and neuroscientists, advancing understanding of language production, comprehension, and structural optimization.

Antoine Doucetمشاهده پروفایل

استاد

• Information Retrieval
• Natural Language Processing
• Text Mining
• +۷ مورد دیگر

Antoine Doucet is a Full Professor at the University of La Rochelle, where he teaches in the Computer Science department of the University Institute of Technology (IUT). He conducts his research at the Computer Science, Image and Interaction Laboratory (L3i) within the 'Images and Content' team, which he has led since 2015. He is also a member of the Franco-Vietnamese laboratory ICTLab and serves as Director of the ICT Department at the University of Science and Technology of Hanoi since 2016. His research focuses on information retrieval, natural language processing, text mining, and artificial intelligence, with emphasis on automatic analysis of text in all forms across languages. His work prioritizes generic methods that work across languages without relying on language-specific linguistic resources. This approach is particularly valuable for under-resourced languages and noisy texts from sources like social media or OCR output. As coordinator of the Horizon 2020 NewsEye project, he led efforts to improve access to European historical newspapers through semantic enrichment and advanced search capabilities. His research has practical applications in epidemic surveillance, document fraud detection, and historical content analysis. The NewsEye project involved 11 teams across Europe, including 3 national libraries and multiple research groups. Best paper award from IMIA Yearbook 2016 (among 1,272 candidates) Best paper award at HCI International with Ilona Nawrot Press coverage for ACL 2013 paper in major publications Recipient of French scientific excellence award (Prime d'Excellence Scientifique) Doucet actively supervises PhD and Master's students, with recent advisees including Chloé Artaud (Document fraud detection), Paul Martin (Photograph Time-Stamping), Ilona Nawrot (Temporal and Multilingual Text Analysis), and Gaël Lejeune (Multilingual Epidemic Surveillance). His research has been funded through multiple projects including ANR Digistory, AmeliOCR, PHC Nusantara, and USTH SWARMS. He has also coordinated significant European projects like NewsEye and Embeddia. At L3i, he leads a research group of approximately 40 persons focused on Images and Digital Content. His work bridges theoretical advances in multilingual text processing with practical applications in historical document analysis, epidemic surveillance, and document security.

Joao Quinta Da Fonsecaمشاهده پروفایل

استاد

• Mechanical Metallurgy
• Crystal Plasticity
• Material Deformation
• +۶ مورد دیگر

Professor João Quinta da Fonseca is a Professor of Mechanical Metallurgy in the Department of Materials at The University of Manchester. He leads the LightForm project, a multidisciplinary initiative supported by the EPSRC, and is affiliated with the Materials Performance Centre and Dalton Nuclear Institute. His research focuses on microstructural-scale metal deformation mechanics, crystal plasticity modeling, and in-situ characterization using synchrotron/neutron diffraction. He chairs the IOM3 Advanced Metal Forming Committee and collaborates with industries like Rolls-Royce and Airbus. Education: PhD in Mechanical Behavior of High Volume Fraction MMCs from the University of Leeds. Academic Line Manager in the Department of Materials and EDI committee member. Research Interests: Experimental mechanics, texture analysis, phase transformations, and computational modeling. Pioneered HRDIC for sub-micron deformation measurement. Key applications include aerospace and energy sectors. Grants & Projects: Active grants include Rotational Vibration Assisted Increment Sheet Forming (EPSRC-funded) and collaborations on jet engine materials. Over 150 publications and datasets on magnesium alloys, titanium, and superalloys. Labs/Teams: Leads the Mechanical Metallurgy group, part of the Centre for Light Alloy Research and Innovation (CLARI).

• Architectural Planning
• City Planning
• Spatial Planning
• +۵ مورد دیگر

Dr. Haruhiko Goto is a Professor at Waseda University's School of Creative Science and Engineering, Department of Architecture. With a career spanning over four decades, he has served in multiple leadership roles including Executive Vice President and Vice President at Waseda University, and as President of The City Planning Institute of Japan. His work focuses on Urban Design , Regional Development , and Community Engagement through architectural and planning lenses. Education: PhD, MA, and BA in Architecture from Waseda University His research systematically examines environmental cognition and subjective well-being in urban contexts, analyzing how spatial experiences affect social dynamics. Recent studies investigate defensive architecture in public spaces, urban redevelopment of shrines , and post-disaster community reconstruction . His publications demonstrate strong integration between urban environmental psychology and place-based social systems . With over 14 refereed publications and 11 citations, his work addresses contemporary urban challenges including social isolation , work-life design , and cultural landscape preservation . As a leader in his field, he has received multiple planning design awards and contributed to national urban policy discussions. Scientific Awards: City Planning Institute of Japan's 60th Anniversary Commemorative Project Awards (2011) Minister of Land Infrastructure's Land Use Model Award (2010) Good Design Award (2010) Japan Institute of Architects Award (2005) As an academic leader, he has chaired numerous professional organizations including The World Society for Ekistics and The Japan Society of Lifology , and contributed to policy development through committee memberships in Japan Academic Council and Urban Planning Institute of Japan .

• Architectural Design
• Urban Planning
• Parametric Design
• +۵ مورد دیگر

Jan Kratochvíl serves as a Lecturer at the Department of Drawing within the Faculty of Architecture at Brno University of Technology, where he also holds the position of Vice-dean for BSP and MSP Studies. His academic profile spans architectural design, parametric modeling, and sustainable urban development, with active involvement in both educational and professional projects. His research interests focus on parametric design methodologies , Building Information Modeling (BIM) , and 21st-century library architecture , emphasizing sustainable practices and cultural context. Kratochvíl bridges theoretical frameworks with practical applications through projects like Rekonstrukce obecních knihoven and Cesty do Benátek , exploring regional identity and digital design innovation. His publication trends reveal a consistent engagement with architectural theory (e.g., Vitruvian principles in modern contexts) and practical design solutions for residential, public, and cultural spaces. Projects frequently address sustainability, historical preservation, and community-centered design, reflecting his commitment to architecture as a socially responsive discipline. Kratochvíl teaches courses including BIM-NE Computer Skills , Parametric Design , and Marketing for Architects , while leading initiatives like Nové digitální techniky v architektonickém navrhování . His artistic outputs span realized buildings (e.g., Vila v Brně-Jundrově ), competition entries, and exhibitions such as Galerie Zdeňka Buriana , demonstrating applied research in urban and landscape design.

Glenn Daehnمشاهده پروفایل

استاد

• Advanced manufacturing
• Materials processing
• Plastic deformation
• +۷ مورد دیگر

Glenn Daehn is the Mars G. Fontana Professor of Metallurgical Engineering at The Ohio State University , where he has served as faculty since 1988. His work bridges materials science , advanced manufacturing , and STEM education , with leadership roles in initiatives like the Ohio Manufacturing Institute and NSF's HAMMER Center. Ph.D. & M.S., Materials Science & Engineering, Stanford University B.S., Materials Science & Engineering (departmental honors), Northwestern University Professor Daehn specializes in impulse-based manufacturing , focusing on plastic deformation , impact welding , and solid-state joining of dissimilar materials. His research drives innovations in lightweight materials, aerospace manufacturing, and biomedical device fabrication. His publications reveal a strong emphasis on dynamic material processing , robotic manufacturing , and sustainable materials systems . Recent work explores orbital cold welding and AI-enhanced surgical plate bending systems. ASM Marcus A. Grossman Young Author Award (1990) Army Research Office Young Investigator Award (1992) 2022 ASM Gold Medal Award Ranked top 2% of scientists worldwide (2021) Daehn has received multiple Lumley Research Awards and led groundbreaking projects including Metamorphic Manufacturing and Hybrid Autonomous Manufacturing . He maintains active collaborations with industry through initiatives like the Center for Design and Manufacturing Excellence .

Iain Pirieمشاهده پروفایل

دانشیار

• Political Economy
• International Political Economy
• Marxist Theory
• +۳ مورد دیگر

Iain Pirie serves as Associate Professor in the Department of Politics and International Studies at the University of Warwick, where he joined in July 2005 after prior appointments as an ESRC Postdoctoral Fellow at Manchester and Teaching Fellow at Lancaster. His academic foundation includes a PhD from the University of Manchester completed in April 2004. Pirie's research centers on structural transformations in global capitalism, particularly the Fordism-to-Post-Fordism transition and its impact on state forms and social life. His Korean political economy studies examine neoliberal developmental shifts, while recent work critiques academic publishing and high-skill competitiveness strategies through classical Marxist theory, arguing that capitalism's social pathologies stem from inherent systemic laws rather than regulatory failures. Future projects include developing a Marxist political economy of Bulimia Nervosa and critiquing Neo-Listian development theory. His 2005-2006 publications reveal consistent focus on neoliberal transitions in East Asia, analyzing how economic crises reshape regulatory regimes and state structures. These works demonstrate converging financial governance patterns across disparate national contexts like Korea and the UK, challenging incremental liberalization models by emphasizing crisis as necessary catalyst for systemic transformation. Pirie actively contributes to academic discourse as referee for journals including American Journal of Sociology, Third World Quarterly, and New Political Economy. He convenes the 'Politics of Globalisation' module for third-year students and teaches the MA module 'Globalisation, Governance and Development', integrating his research on global economic restructuring into pedagogy.

Werner Hombergمشاهده پروفایل

استاد

• Manufacturing Technology
• Forming Processes
• Machining Processes
• +۲ مورد دیگر

Prof. Dr.-Ing. Werner Homberg is Chair holder and Vice Dean at the Faculty of Mechanical Engineering, University of Paderborn. He leads Subproject C03 "Forming and Machining Technology" within Collaborative Research Center Transregio 285 and serves as Dean of Research at the Institute for Lightweight Construction with Hybrid Systems (ILH). Research focus areas: Deep drawing process optimization with intrinsic lubrication Modular 3D roller straightening systems for spring steel wires Forming-based manufacturing of lightweight joining elements Tool life improvement in thermomechanical forming Flow forming of metastable austenitic steel with phase transformation monitoring Recent publications demonstrate expertise in advanced forming technologies, hybrid material processing, and sensor-based monitoring systems. His work addresses both theoretical process understanding and practical implementation for sustainable manufacturing solutions. Contact: wh@luf.uni-paderborn.de | Office: Pohlweg 53, 33098 Paderborn | Space: IW1.801

• Reverse Engineering
• Product Design and Development
• Virtual Prototyping
• +۳ مورد دیگر

Luigi De Napoli is an Assistant Professor in the Department of Mechanical, Energy and Management Engineering at the University of Calabria's Engineering Faculty. He has been serving in this position since March 1, 2006, and achieved National Scientific qualification as associate in the Italian higher education system for the disciplinary field of 09/A3 - Industrial design, machine construction, and metallurgy, starting from December 20, 2019. His educational background includes a Bachelor Degree in Mechanical Engineering from the University of Calabria in 1993, followed by qualification as an Engineer in 1994. He completed his Ph.D. degree in Design and Methods in Industrial Engineering at the University of Bologna in 2003, with a thesis focused on the reconstruction of archaeological artifacts using CAD systems. High school: Liceo Scientifico Statale E. Fermi di Cosenza (1986) Bachelor Degree: Mechanical Engineering, University of Calabria (1993) Engineer Qualification (1994) Scholarship: ITIA-CNR in Milan on advanced FEM and BEM systems (1995/96) Ph.D.: Design and Methods in Industrial Engineering, University of Bologna (2003) Dr. De Napoli's research primarily focuses on Reverse Engineering applications in Mechanical Engineering, Product Design and Development, and Virtual Prototyping. His work spans various applications including the reconstruction of archaeological artifacts, geometry inspection, hull and prosthesis reconstruction, and sustainable product design methodologies. His recent publications demonstrate a strong emphasis on biomedical applications, particularly in cranial prosthetics, tissue engineering, and ovarian tissue culture systems. His teaching portfolio is extensive, covering courses such as Computer-Aided Design, Sustainable Product Design, Engineering Drawing/CAD, and Modeling and Prototyping for Bioengineering across both Mechanical and Management Engineering programs. He has been teaching CAD courses since 2010 and Sustainable Product Design since 2011 at the University of Calabria. Dr. De Napoli is actively involved in the Research Group for Industrial Engineering Design and Methods (ING-IND/15), which focuses on methodologies and tools for product development processes, industrial product design and development (with particular attention to parametric and sustainable aspects), prototyping (virtual and mixed), and manufacturing using 3D printers. His work also encompasses Reverse Engineering techniques, User Centered Design methodologies for ergonomic analysis, and Virtual and Augmented Reality applications for industrial product design.