جستجوی استاد راهنمای دانشگاهی

Suo Yangمشاهده پروفایل

استادیار

• Combustion
• Plasma-Assisted Combustion
• Ammonia Combustion
• +۱۲ مورد دیگر

Suo Yang is the Richard & Barbara Nelson Assistant Professor in the Department of Mechanical Engineering at the University of Minnesota, College of Science and Engineering. He is an active researcher in combustion, plasma-assisted technologies, and high-speed reacting flows, with a strong focus on sustainable and high-performance propulsion systems. He is currently accepting PhD students and leads multiple externally funded research projects. Education: PhD in Aerospace Engineering, Georgia Institute of Technology, 2017 MS in Computational Science & Engineering, Georgia Institute of Technology, 2015 BS in Mathematics & Applied Mathematics, Zhejiang University, 2011 His research interests lie at the intersection of combustion science , plasma physics , and computational fluid dynamics . He investigates plasma-assisted ammonia combustion , transcritical fuel injection , detonation dynamics , and multi-fuel engine systems , contributing to sustainable energy and hypersonic technologies. His work aligns with UN Sustainable Development Goals related to clean energy and climate action. The analysis of his recent publications reveals a strong trend toward ammonia-based fuels , non-equilibrium plasma applications , and high-fidelity modeling of complex reacting flows. His work integrates advanced numerical methods with experimental validation, focusing on ignition enhancement, flame stabilization, and emission reduction in next-generation propulsion systems. Scientific Awards and Recognition: No specific awards or fellowships are listed in the provided text. Research Advising and Grants: Dr. Yang is actively mentoring PhD students and leading significant research initiatives. He serves as Principal Investigator (PI) on multiple grants from the U.S. Department of Defense (Air Force, Navy), the National Science Foundation, and industry partners. His funded projects include research on micro-jetting in detonations , plasma-assisted ammonia combustion , transcritical phase change , and multi-fuel engine control for unmanned systems . These projects reflect his leadership in advancing fundamental and applied combustion science. Laboratories and Research Teams: While specific lab names are not mentioned, Dr. Yang leads a research group focused on computational and experimental combustion at the University of Minnesota. His collaborations span institutions and include work with Spectral Energies, LLC, and researchers across mechanical and aerospace engineering disciplines. His team employs high-performance computing and advanced diagnostics to study complex flow and combustion phenomena.

Daniel Beckمشاهده پروفایل

دانشگاهی

• Sport and Media
• Journalism Research
• Media History and Policy
• +۵ مورد دیگر

Daniel Beck is a Reader and lecturer in the Department of Communication and Media Sciences at the University of Fribourg, Faculty of Economics and Social Sciences and Management. He also serves as a study advisor and manages the department’s website. He earned his doctorate (Dr. rer. soc.) in 2005 with research on the development of sports sections in Swiss newspapers. His primary research interests include: Sport and Media Journalism Research Media History and Policy Content Analysis Media Effects Political Communication His recent scholarly work, published between 2023 and 2024, focuses on comparative reporting on Islam, young journalists in Switzerland, and the mediatization of national sports like Schwingen. Earlier publications examine sports celebrities such as Roger Federer, media coverage of major events like the Olympics and FIFA World Cup, gender representation in sports media, and the evolution of sports journalism. Daniel Beck has contributed to numerous peer-reviewed journals such as Journalism , Studies in Communication Sciences , and MedienJournal , as well as major edited volumes and encyclopedias including the International Encyclopedia of Media Effects . He frequently collaborates with scholars like Patric Raemy, Regula Hänggli, and Steffen Kolb. He teaches seminars for bachelor's students and supervises bachelor's and master's theses. He is actively engaged in the academic community through presentations at international conferences in media and communication studies.

• Color Science
• Human Visual Perception
• Augmented Reality (AR)
• +۱۴ مورد دیگر

Michael Murdoch is an Associate Professor in the Department of Color Science at the College of Science, Rochester Institute of Technology (RIT). He serves as Head of the Integrated Sciences Academy and Director of the Munsell Color Science Laboratory. His research and teaching focus on human visual perception of color, light, and materials in real and virtual environments, particularly in augmented and virtual reality (AR/VR), advanced displays, and tunable LED lighting systems. His educational background includes a BS from Cornell University, an MS from Rochester Institute of Technology, and a PhD from Eindhoven University of Technology. BS, Cornell University MS, Rochester Institute of Technology PhD, Eindhoven University of Technology Michael Murdoch's research centers on color science and human visual perception. His work investigates how humans perceive color, brightness, and transparency in optical see-through AR systems, aiming to develop computational models of visual appearance. He studies observer metamerism, chromatic adaptation under dynamic lighting, and perceptual optimization of HDR and wide color gamut displays. His research is supported by a prestigious NSF CAREER award (2020–2025) focused on building a computational model of perceived color in AR environments. His recent publications reveal a strong trend in augmented reality, particularly in transparency perception, color appearance modeling, and the interaction between virtual and real-world lighting. His work bridges psychophysics, display engineering, and human-centered computing, with applications in AR system design, medical displays, and lighting technology. His scientific awards include: NSF CAREER Award #1942755 (2020–2025) Best Student Paper Award, 32nd Color and Imaging Conference (2024) 3rd Place Best Poster Award, 2024 AR/VR Symposium Michael Murdoch actively advises graduate students in the Color Science MS and PhD programs at RIT. He has served as primary advisor for numerous PhD and MS candidates, many of whom now work at leading technology companies such as Apple and Meta. He is also a principal investigator on research grants, including the NSF CAREER project, and integrates research outcomes into graduate education. He has held leadership roles in professional organizations, including General Chair of the Color and Imaging Conference (CIC) 2017, and serves on the board of the Inter-Society Color Council (ISCC). He frequently delivers keynote and invited talks at international conferences. He is a founding member of Frameless Labs, a multidisciplinary group focused on immersive technologies (XR), and contributes to the annual Frameless XR Symposium at RIT’s MAGIC Center. He is also involved in community outreach, contributing to public understanding of color science through media outlets like The Conversation and The Detroit News.

James Dennisمشاهده پروفایل

پژوهشگر

• Political Communication
• Journalism
• Social Media
• +۷ مورد دیگر

Dr James Dennis is a Researcher at the Centre for Research in Applied Communication, Culture, and New Technologies (CICANT), Universidade Lusófona. He is Co-Editor of Political Studies Review and Co-Convenor of the Political Studies Association Media and Politics Group (UK), reflecting his leadership in the academic community. His research focuses on political communication, journalism, social media, political participation, and youth engagement with news. His research interests center on how digital media shapes political engagement, particularly among young people. Key areas include news avoidance during crises like the pandemic, the role of social media in activism (beyond slacktivism), and the representation of youth in election campaigns. His work explores narrative methods, communication strategies, and the impact of media technology on citizenship and political actors. The recent publications highlight a strong trend in digital political communication, with studies on youth news routines, social media activism, election coverage, and ethnographic methods. His work spans journals in political science, journalism, and ethnic studies, indicating interdisciplinary reach. Topics such as infodemics, nationhood, and platform governance reflect contemporary societal challenges. Dr Dennis has received several scientific awards and recognitions: American Political Science Association (APSA) Information Technology and Politics Section Best Dissertation Award (2017) Nomination for University of Portsmouth Students’ Union Awards for Excellence in Learning and Teaching (2017) Students’ Union Teaching Award, Royal Holloway, University of London (2013) Student Union 100% Teaching Commendation Award, Royal Holloway, University of London (2013) Dr Dennis actively supervises PhD candidates and contributes to academic service through external examining roles at Cardiff, Loughborough, and Leeds universities, advisory roles (e.g., ESRC Digital Footprints Project), and mentoring early-career researchers via the PSA Diverse Voices Programme. He has not received specific grant mentions in the text, but his extensive research output and leadership roles suggest active grant involvement. He regularly provides expert commentary for major media outlets including BBC, Guardian, and Financial Times. Dr Dennis is affiliated with CICANT, a research center focused on applied communication and new technologies. He collaborates with scholars across the UK and participates in key academic networks such as the Political Studies Association. His personal research website (jameswilldennis.com) serves as a hub for his publications and commentary.

Brandon Millerمشاهده پروفایل

دانشیار

• Media Effects
• Computer-Mediated Communication
• Sexuality and Gender Studies
• +۳ مورد دیگر

Brandon Miller is an Associate Professor in the Department of Communication at the University of Massachusetts Boston's College of Liberal Arts. His research focuses on sexual and gender minorities' use of interactive media, examining how this usage affects identity formation, interpersonal relationships, and societal perceptions. He also investigates mass media representations of LGBTQ individuals and issues, with particular emphasis on online self-presentation, linguistic patterns, stereotype formation, and media effects on diverse audiences. Miller holds a PhD in Communication from the University of Missouri (2016), an MA in Magazine, Newspaper, and Online Journalism from Syracuse University (2008), and a BA in Political Science from Western University (2007). He teaches courses in gender and communication, new media and identity, media and society, communication technologies, and interpersonal communication. His current research projects explore: masculinity and body image on dating apps for MSM; media as educational tools for reducing transphobia; social connectedness in online queer spaces; mental health portrayals in film; Twitter responses to the Pulse Nightclub shooting; and sexual behavior representation in television programming. Miller serves as secretary for the National Communication Association's Caucus on LGBT Concerns and is a research associate with the Media and Diversity Center at the University of Missouri.

Markus Steinbergerمشاهده پروفایل

دانشیار

• GPU Computing
• Computer Graphics
• Parallel Processing
• +۳ مورد دیگر

Markus Steinberger is an Associate Professor at Graz University of Technology (Austria), leading the GPU Computing and Visualization Group at the Institute for Computer Graphics and Vision. He holds an MSc and PhD in Computer Science from TU Graz, with a postdoc and multiple leadership roles in academic and industry labs, including NVIDIA and the Max Planck Institute. His research focuses on GPU scheduling, parallel computing, and high-performance visualization techniques. He has led teams at TU Graz, Huawei Technologies (Cloud Rendering Lab), and the Max-Planck-Center for Visual Computing. Education 11/2020: Habilitation in Practical Computer Science at TU Graz 10/2013: PhD in Computer Science (Dynamic Resource Scheduling on Graphics Processors) 10/2010: MSc in Telematics 10/2005: BSc in Telematics Research Interests Steinberger’s work centers on optimizing GPU computing for real-time rendering and parallel processing. He explores efficient resource scheduling, dynamic graph management, and high-performance visualization techniques, with applications in cloud rendering, scientific visualization, and interactive graphics. His methods emphasize scalability and real-world applicability in both academic and industrial settings. Awards Heinz Zemanek Prize (2016) – First Austrian recipient GI Dissertation Prize (2014) – Best dissertation in German-speaking computer science Multiple Eurographics Best Paper Awards (2021, 2020, 2014) HPEC Best Student Paper (2017) ACM CHI Honorable Mention (2014) Advising & Grants Steinberger has advised numerous students and led projects funded by EU initiatives and industry partnerships. His research has been recognized through grants supporting GPU scheduling, cloud rendering, and parallel computing. Labs & Teams Leads the GPU Computing and Visualization Group at TU Graz and directed the Cloud Rendering Lab at Huawei, focusing on scalable rendering solutions for distributed systems.

• Crisis Communication
• Social Media Analysis
• Gender Studies in Advertising
• +۵ مورد دیگر

Assoc. Prof. Özlem Duğan serves at Uşak University's Faculty of Communication, Department of Public Relations and Advertising since 2015, advancing from Assistant Professor to Associate Professor in 2020. Holding a PhD in Public Relations from Selcuk University (2015), she specializes in crisis communication, gender representation in advertising, and health communication within digital environments. Doctorate: Selcuk University, Institute of Social Sciences, Public Relations and Publicity (2011-2015) Undergraduate: Selcuk University, Faculty of Communication, Department of Journalism (1998-2002) Her research focuses on crisis communication dynamics during pandemics and disasters, gender stereotype deconstruction through advertising, and social media's role in health literacy. Current projects analyze generational gender perceptions in advertising and AI integration in public relations curricula. She investigates how organizations navigate trust-building during crises like the Israel-Palestine conflict and healthcare violence incidents through digital platforms. Her 70+ publications include the bibliometric analysis of 22 years of science communication research and studies on YouTube viewers' emotional responses to healthcare violence. This body of work reveals consistent exploration of media framing in risk societies, with increasing emphasis on digital native communication strategies post-2020. Managed EU-supported Act-Able Project (2020-2023) Currently leads TUBITAK-funded AI curriculum research (2025) Advised 8 graduate theses on digital literacy, crisis communication, and gender perceptions As Head of Uşak University's Graduate School of Education (2022-2024) and current Unit Quality Commission member, she bridges academic leadership with research innovation. Her non-academic background includes press management at Selçuk University Hospital and communications coordination at Selçuk University, providing practical grounding for her crisis communication expertise.

• Digital Health
• Media Studies
• Gender Studies
• +۳ مورد دیگر

Mag. Dr. Yvonne Prinzellner is a Senior Researcher at the Center for Digital Health and Social Innovation, part of Fachhochschule Steyr. She holds a position in the Department of Digital Business and Innovation, contributing to Master's and Bachelor's programs in Digital Marketing, Management, and Communication. Her work focuses on intersections of digital health, gender studies, and media analysis. Research interests include healthcare discrimination in marginalized communities, media representation of gender-based violence, and the role of technology in health equity. She has published extensively on femicide coverage in German-language media and LGBTQ+ health communication. Recent work explores patient-generated health data systems and eHealth applications for vulnerable populations. She actively participates in innovation programs like DIGIHealth UASHome Incubators Boost Program.

Alexander Chernevمشاهده پروفایل

استاد

• Consumer Behavior
• Marketing Strategy
• Brand Management
• +۴ مورد دیگر

Alexander Chernev is a Professor of Marketing at the Kellogg School of Management, Northwestern University. He holds dual PhDs in Psychology (Sofia University) and Business Administration (Duke University). His research focuses on consumer decision-making, marketing strategy, and managerial decision-making, with a particular emphasis on sustainability, brand management, and market planning. Chernev has been consistently ranked among the world's top marketing scholars, including top 10 in leading journals and top 5 in consumer behavior. Education: PhD in Marketing, Duke University (1997) PhD in Psychology, Sofia University (year not specified) Research Interests: Consumer Behavior and Choice Marketing Strategy and Brand Management Sustainability and Ethical Consumption Assortment Planning and Pricing Strategies Psychological Insights in Retail and Product Design Teaching: MBA/PhD/Executive Programs: Marketing Management, Behavioral Decision Theory Recipient of 15+ Top Professor Awards in Executive MBA Programs Editorial Roles: Area Editor, Journal of Retailing Editorial Board Member of 10+ top marketing journals Consulting: Advises Fortune 500 firms and startups on business model innovation, sustainable marketing, and competitive strategy. Key clients include Harley-Davidson (brand rejuvenation case) and Beleza Natural (social impact marketing).

Jonathan Malenمشاهده پروفایل

استاد

• Thermal Transport
• Nanoscale Heat Transfer
• Energy Materials
• +۷ مورد دیگر

Jonathan Malen is a Professor in the Department of Mechanical Engineering at Carnegie Mellon University’s College of Engineering. His research spans nanoscale thermal transport, energy materials, and additive manufacturing, with significant contributions to thermal management in electronics and thermoelectric energy conversion. Malen earned a Ph.D. in Mechanical Engineering from UC Berkeley (2009), an M.S. in Nuclear Engineering from MIT (2003), and a B.S. in Mechanical Engineering from the University of Michigan (2000). He joined CMU in 2009 and has since led groundbreaking experimental work in thermal science. His research interests include thermal transport in advanced materials such as ultrawide bandgap semiconductors (GaN, Ga₂O₃), organic-inorganic hybrids (superatomic crystals, perovskites), and high-thermal-conductivity polymers. The Malen Laboratory uses ultrafast laser spectroscopy, microfabrication, and thermal imaging to study heat transfer in electronics, additive manufacturing, and cryopreservation. Key applications include thermoelectric waste heat recovery, thermal management in microprocessors, and process monitoring in metal 3D printing. Malen’s recent publications reveal a strong focus on thermal conductivity in polymers and composites, melt pool dynamics in additive manufacturing, and phonon transport in nanostructured materials. His work increasingly integrates machine learning for process modeling and defect prediction in metal printing. There is a clear interdisciplinary trend combining materials science, mechanical engineering, and data-driven modeling. Benjamin Richard Teare Teaching Award (2019) David P. Casasent Outstanding Research Award (2016) ASME Bergles-Rohsenhow Young Investigator Award in Heat Transfer Army Research Office Young Investigator Award (2014) National Science Foundation CAREER Award (2012) Air Force Office of Scientific Research Young Investigator Award (2010) Malen has advised numerous PhD students, many of whom now work in industry (e.g., Intel, Northrop Grumman, Apple) or academia. His research is supported by the NSF, DoD, ARO, AFOSR, and NIH. He collaborates with Alan McGaughey (CMU), Dmitri Talapin (University of Chicago), and X. Roy (Columbia), among others. He is also involved with CMU’s Data Storage Systems Center, NextManufacturing Center, and Wilton E. Scott Institute for Energy Innovation. The Malen Laboratory operates at the intersection of experimental thermal science and advanced manufacturing, focusing on both fundamental understanding and technological applications. The team includes postdocs and PhD students working on topics such as in-situ thermal imaging, deep learning for defect prediction, and thermoelectric cooling. The lab is known for developing innovative measurement techniques like two-color thermal imaging and frequency-domain thermoreflectance.

• Cardiovascular Imaging
• Medical Ultrasound
• Echocardiography
• +۳ مورد دیگر

Jan D'hooge is a full Professor at the Faculty of Medicine, KU Leuven, heading the Cardiovascular Imaging and Dynamics unit within the Department of Cardiovascular Sciences. He is a member of the iSi Health Institute for Physics-based Modeling and Leuven.AI Institute for Artificial Intelligence, and serves on the Faculty Council of Medicine and Departmental Council for Cardiovascular Sciences. His research focuses on cardiovascular imaging through echocardiography and ultrasound techniques, specializing in shear wave elastography for myocardial stiffness assessment, high-frame-rate cardiac mechanics imaging, and AI integration in medical diagnostics. He actively explores nanodroplet technologies for super-resolution ultrasound and radiation therapy applications. Recent publications (2025) demonstrate strong trends in ultrasound shear wave imaging for cardiac tissue characterization, natural shear wave analysis for hemodynamic assessment, and development of flexible ultrasound arrays for surgical guidance. These works consistently integrate AI for image analysis and simulation while advancing nanodroplet applications in diagnostics and therapy. He supervises PhD students including N. Burman. Current research is funded by multiple grants: SQUARE: Quantitative assessment of regurgitation in super-resolution echocardiography (2025-2029) Quantification of whole heart function from 2D echocardiographic sequences (2025-2029) AI in pelvic floor imaging for improved diagnostics (2024-2027) Cardiac Active Shear Wave Imaging for non-invasive tissue stiffness assessment (2024-2028) He leads the Cardiovascular Imaging and Dynamics unit which collaborates with iSi Health and Leuven.AI on physics-based modeling and AI for healthcare. The unit pioneers research in cardiac mechanics, ultrasound technology development, and image-guided interventions through advanced imaging facilities.

Leonidas Guibasمشاهده پروفایل

استاد

• Computational Geometry
• Computer Graphics
• Robotics
• +۶ مورد دیگر

Leonidas Guibas is the Paul Pigott Professor of Engineering and Professor (by courtesy) of Electrical Engineering at Stanford University's Department of Computer Science. He leads the Geometric Computation group and is affiliated with the Computer Graphics and Artificial Intelligence Laboratories. His research focuses on algorithms for sensing, modeling, and reasoning about the physical world, with expertise in computational geometry, robotics, sensor networks, and topological data analysis. Current work includes geometric modeling with point clouds, 3D reconstruction, and mobility data analysis. He holds prestigious awards including ACM Fellow (1999), Allen Newell Award (2008), and membership in the National Academy of Sciences (2022). Education: PhD, Stanford University (1976) MS & BS, California Institute of Technology (1971) Research Interests: Geometric and topological data analysis 3D reconstruction and 3D shape analysis Sensor networks and robotics Biological structure modeling Machine learning for geometric problems Recent Articles Focus: Recent work emphasizes neural radiance fields (NeRF), dynamic Gaussian splatting, and physically plausible 3D shape generation. Publications span advancements in symmetry detection, articulated object manipulation, and multi-view video generation. Awards & Honors: Fellow, ACM (1999) Allen Newell Award (2008) Fellow, IEEE (2011) Member, National Academy of Engineering (2017) Member, National Academy of Sciences (2022) Advising & Teams: Advises doctoral and master's students on topics like geometric computing and robotics. Leads interdisciplinary teams at Stanford's ICME, HAI, and Woods Institute. Current advisees include Ian Huang, Boxiao Pan, and Colton Stearns. Labs & Collaborations: Active in the Geometric Computation group and collaborates with the Stanford AI Lab. Works on projects funded by grants in robotics, computer vision, and computational biology.

Eun Soo Rheeمشاهده پروفایل

استاد

• Health Communication
• Visual Communication
• Social Media
• +۲ مورد دیگر

Dr. Eun Soo Rhee is a Professor in the Department of Mass Communication at Towson University's College of Fine Arts and Communication. Her academic work bridges advertising theory with practical applications in health messaging, social media dynamics, and international communication frameworks. Education: Ph.D., University of Florida, 2011 Master’s in Advertising, University of Florida B.A. in Advertising and Public Relations, Hanyang University, South Korea Research focuses on critical advertising dimensions: marijuana advertising policy examining regulatory challenges, visual communication uncovering beauty standards in cosmetic surgery websites, and social media analyzing viral dynamics and postpartum mother support networks. She also investigates cultural portrayals in advertising campaigns. Article trends reveal persistent exploration of message strategies across health domains, visual impact analysis, and cross-cultural advertising comparisons. Her work spans from foundational studies on antidepressant advertising (2012) to contemporary social media engagement patterns in youth sports (2024). Her industry insights extend to practical applications in advertising campaigns , account planning , and ethical frameworks in advertising and public relations, though specific awards or funded grants aren't documented in this profile.

• Image Processing
• Video Compression
• Computer Vision
• +۲ مورد دیگر

Maggie Zhu (Fengqing Maggie Zhu) is an Assistant Professor at Purdue University's Department of Electrical and Computer Engineering, College of Engineering. She holds a Ph.D. in Electrical and Computer Engineering from Purdue (2011) and has focused on image processing, video compression, computer vision, and computational photography since joining the faculty in 2015. Ph.D. in Electrical and Computer Engineering (2011) Assistant Professor at Purdue (2015–present) Staff Researcher at Huawei Technologies (2012) Her research bridges machine learning with practical applications in image compression , 3D reconstruction , and nutrition analysis , particularly through wearable technologies and edge-cloud systems. Recent work includes class-incremental learning for 3D perception and low-rank adaptation for efficient vision models. Scientific awards include: Huawei Certification of Recognition (2012) NIH mHealth Summer Institute Participant (2011) Charles C. Chappelle Graduate Fellowship Motorola Foundation Fellowship She has contributed to food portion estimation using monocular imaging , neural video compression , and domain adaptation methods, with publications spanning learned compression techniques and healthcare applications. Recent grants focus on technology-enabled dietary assessment and collaborative computing frameworks.

Paula Butteryمشاهده پروفایل

استاد

• Computational Linguistics
• Natural Language Processing
• Language Cognition
• +۵ مورد دیگر

Dr. Paula Buttery is a Professor at the University of Cambridge , affiliated with the Faculty of Modern and Medieval Languages and Linguistics and the Department of Theoretical and Applied Linguistics . She serves as the Director of the Automated Language Teaching and Assessment (ALTA) Institute , focusing on computational approaches to language learning and endangered language revitalization. Her research spans Natural Language Processing (NLP) , Computational Psycholinguistics , and Language Acquisition , with particular emphasis on non-canonical language forms (e.g., spoken learner language, aphasics) and low-resource language processing . She has lead projects funded by the Cambridge English Language Assessment , EPSRC , and the Wellcome Trust . Dr. Buttery’s recent publications explore topics such as disfluency detection , lexical diversity , subcategorization frames , and spoken learner language modeling . Her work bridges machine learning and cognitive science to develop tools for language education and endangered language preservation. Scientific Awards : Cambridge University Pilkington Prize for teaching (2015) She has contributed to interdisciplinary collaborations, including the Cambridge Cookie-Theft Corpus for speech analysis in brain-damaged patients and the UKPMC project for biomedical text mining. Her teaching centers on Computational Linguistics and Language Learning .