جست‌وجوی استاد و پژوهشگر

• Computer Vision
• Computer Graphics
• Numerical Methods
• +۸ مورد دیگر

Richard Szeliski is a Distinguished Scientist at Google DeepMind and Affiliate Professor at the University of Washington's Department of Computer Science & Engineering. He previously led the Interactive Visual Media Group at Microsoft Research and founded the Computational Photography group at Facebook. His research focuses on computer vision, computer graphics, and numerical methods, with specialties in 3D modeling from imagery, computational photography, and neural rendering. Education details are not explicitly listed, but his career trajectory indicates advanced academic training in computer science. Research interests include algorithms for 3D reconstruction, image stitching, and optimization techniques. His recent work emphasizes neural rendering, volumetric representations, and large-scale scene modeling. Key contributions include the widely cited textbook Computer Vision: Algorithms and Applications and foundational papers on multi-view stereo, panorama stitching, and energy minimization in MRFs. Publications span 40+ years, with recent focus on radiance fields (NeRF), 3D scene understanding, and real-time rendering systems. Though no explicit awards are listed, his textbook adoption and industry roles reflect significant academic and industrial impact. He advises through his academic role and has contributed to open-source projects like the Bundle Adjustment Library (BAL). Labs/teams include collaborations with Google DeepMind, prior work at Microsoft Research's Interactive Visual Media Group, and academic partnerships at UW's Graphics & Imaging Lab. His work bridges theory and application, addressing challenges in both academic research and industrial-scale systems.

Eric Paulosمشاهده پروفایل

استاد

• Human-Computer Interaction
• New Media Arts
• Urban Computing
• +۷ مورد دیگر

Eric Paulos is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley, directing the Hybrid Ecologies Lab, Master of Design program, CITRIS Invention Lab, and co-directing the Swarm Lab. He holds faculty appointments at the Berkeley Center for New Media and Jacobs Institute for Design Innovation. He earned his PhD in Electrical Engineering and Computer Science from UC Berkeley, where he pioneered internet tele-operated robots including Space Browsing blimps and Personal Roving Presence devices. Paulos is a foundational figure in urban computing (coined in 2004) with research spanning critical making, physical computing, and sustainability-focused design. His work consistently bridges Human-Computer Interaction with social justice, emphasizing inclusive prototyping and the societal implications of emerging technologies through hands-on making practices. His recent publications examine hybrid materials as design mediums, failure-mitigation in creative workflows, and light as computational material, revealing a trajectory toward empowering creators through accessible tool development and critical reflection on technological embodiment. No scientific awards were explicitly documented in the source material. He has advised seven PhD students including Katherine Song (2024), Molly Nicholas (2022), Sarah Sterman (2022), Rundong Tian (2021), Christine Dierk (2020), Cesar Torres (2019), and Joanne Lo (2016), with current recruitment for 2026 focusing on technical prototyping skills and equity-centered innovation in the Hybrid Ecologies Lab. His leadership spans the Hybrid Ecologies Lab (critical making research), Swarm Lab (collaborative robotics), and CITRIS Invention Lab (public fabrication space), fostering interdisciplinary work at the intersection of technology, art, and social impact through facilities like Jacobs Hall and the College of Environmental Design.

Bruna Damiana Heinsfeldمشاهده پروفایل

استادیار

• Critical Perspectives on Educational Technology
• Technology Discourse Analysis
• Philosophy and Sociology of Technology
• +۳ مورد دیگر

Bruna Damiana Heinsfeld serves as Assistant Professor of Learning Technologies within the Department of Curriculum & Instruction at the University of Minnesota's College of Education and Human Development. Her research critically examines the intersections of technology, society, and education through the lens of Critical Studies of Education and Technology (CSET), with emphasis on power dynamics and social justice implications. Her academic credentials include: Ph.D. in Interdisciplinary Learning and Teaching (Learning Design and Technologies concentration) from UTSA M.A. in Education (Digital Languages, Media and Education concentration) from PUC-Rio, Brazil Multiple Postgraduate Certificates from Brazilian institutions: Media Discourse Analysis, Ontology and Epistemology, Philosophy/Sociology/Social Sciences, and Distance Learning Management B.A. in English Language and Literature from UERJ, Brazil Dr. Heinsfeld's research program centers on critical discourse analysis of educational technology narratives across corporate, policy, and educational contexts. She investigates how technological discourses are constructed and operationalized, particularly regarding digital equity, participatory exclusion, and the sociopolitical dimensions of technology adoption. Her methodological approach combines Critical Discourse Analysis (CDA) with critical pedagogy to unpack ideological, cultural, and economic factors shaping educational technology implementations. She examines epistemological foundations of technological beliefs and challenges neoliberal narratives in EdTech through rigorous deconstruction of policy documents and marketing materials. Analysis of her recent publications (2019-2023) reveals consistent focus on corporate influence in educational technology, with particular attention to Google and Microsoft's marketing narratives, pandemic-era remote learning disparities, and Latinx student experiences. Her work demonstrates how technological solutions often reinforce existing inequalities through participatory exclusion mechanisms, while her policy analyses expose contradictions between equity rhetoric and actual implementation. Recurring methodological threads include discourse analysis of educational landscape reports and critical examination of public policy frameworks. No scientific awards were documented in the provided materials. As an advisor, Dr. Heinsfeld cultivates a supportive environment grounded in social justice principles, emphasizing critical consciousness development and student autonomy. Her advising philosophy centers on accessible feedback, interdisciplinary exploration, and preparation for meaningful societal engagement. She teaches foundational courses including CI 4311W Technology and Ethics in Society (examining algorithmic bias, privacy concerns, and AI ethics) and CI 8147 Critical Discourse Analysis in Educational Research (focusing on language-power dynamics in educational contexts). While specific research laboratories aren't detailed, her collaborative work spans international contexts with Brazilian institutions and U.S. colleagues, particularly evident in joint publications with researchers like V. Marone and M. Pischetola. Her research trajectory indicates ongoing critical engagement with emerging technologies like AI in education policy, as evidenced by upcoming 2025 conference presentations.

Hassan Khanمشاهده پروفایل

دانشیار

• Computer Security
• Applied Machine Learning
• Human-Computer Interaction
• +۳ مورد دیگر

Hassan Khan is an Associate Professor at the University of Guelph's School of Computer Science, with research spanning security, systems, and human-computer interaction (HCI). He is a member of the Centre for Advancing Responsible and Ethical Artificial Intelligence (CARE-AI). Research Interests: His work focuses on improving AI-driven mobile security systems through human-in-the-loop evaluations, addressing vulnerabilities in continuous authentication, shoulder surfing, and privacy in enterprise/repair settings. He explores how users interact with security mechanisms and designs interfaces to enhance usability. Scientific Recognition: He has received the NSERC Early Career Researcher Award and a NSERC Discovery Grant, with media coverage in outlets like Time Magazine, The Globe and Mail, and New Scientist. Teaching: Khan teaches courses such as Computer Security Foundations and Advanced Penetration Testing, emphasizing practical cybersecurity and AI systems architecture.

Slava Jankinمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +۳ مورد دیگر

Slava Jankin is a Professor of Data Science and Government at the University of Birmingham’s School of Government, where he also serves as Deputy Director of the Institute for Data and AI and Founding Director of the Centre for Artificial Intelligence in Government. He is concurrently a Fellow and Founding Director of the Data Science Lab at the Hertie School in Berlin. Previously, he held a Professorship at the University of Essex and has worked at University College London (UCL) and the London School of Economics (LSE). His research bridges computational methods, governance, and climate policy, with a focus on AI applications in public institutions, climate-health surveillance, and misinformation resilience. Jankin earned a PhD in Political Science from Trinity College Dublin (2009), a Postgraduate Diploma in Statistics (2006), and a BSc from Belarus State Economic University (2002). **Education**: • PhD in Political Science, Trinity College Dublin (2009) • Postgraduate Diploma in Statistics, Trinity College Dublin (2006) • BSc Econ with Distinction, Belarus State Economic University (2002) **Research Interests**: Jankin’s work integrates AI and computational methods with governance challenges, including climate policy, health surveillance, and institutional effectiveness. He leads initiatives like the Lancet Countdown’s climate-health monitoring and the CATALYSE project on climate impacts. His research also explores digital twins for governance systems and the role of cultural diversity in societal resilience against misinformation. **Grants & Collaborations**: He advises the UN and EU on AI and data science, co-leads the Lancet Countdown, and collaborates with institutions like the Alan Turing Institute. His applied work includes developing AI tools for public service optimization and policy simulations. **Labs & Teams**: Directs the Centre for AI in Government (University of Birmingham) and the Hertie School’s Data Science Lab, fostering interdisciplinary teams to advance computational methods in public policy.

Claudia Wagnerمشاهده پروفایل

استاد

• Computational Social Science
• Algorithmic Fairness
• Digital Behavioral Data
• +۷ مورد دیگر

Claudia Wagner is a full professor for Applied Computational Social Sciences at RWTH Aachen University and the Scientific Director of the Computational Social Science department at GESIS—Leibniz Institute for the Social Sciences. She is also an External Faculty member at the Complexity Science Hub Vienna. Her work bridges computer science and the social sciences to study algorithmic systems and their societal impacts. Her research focuses on socio-technical phenomena such as inequality, sexism, and perception bias in algorithmically infused societies. She investigates methodological challenges in using digital behavioral data to study human behavior, attitudes, and group dynamics. Her interests span computational social science, algorithmic fairness, network science, and AI ethics. The analysis of her recent publications reveals a strong emphasis on bias, fairness, and methodological rigor in digital data analysis. Her work spans AI psychometrics, gender inequality in online platforms, and validation frameworks for digital traces. She frequently publishes in top-tier venues such as Nature , Science , and AAAI conferences. DOC-fFORTE fellowship from the Austrian Academy of Sciences Four best paper awards at international conferences (ICWSM, CSCW, WWW, AAAI) Associate Editor, EPJ Data Science Steering Committee Member, International AAAI Conference on Web and Social Media Board Member, International Society for Computational Social Science Claudia Wagner has led and co-led substantial research projects funded by national and international agencies. She mentors a diverse group of PhD students working on topics like algorithmic bias, data quality, and dehumanization. She has organized training events such as the CSS Methods Summer School and delivered keynotes globally on inequality and computational social science. She leads the Computational Social Science department at GESIS and collaborates with interdisciplinary teams at RWTH Aachen and the Complexity Science Hub. Her group develops tools for measuring algorithmic impacts and visualizing disparities in socio-technical systems, such as the 'Planets of Disparity' dashboard.

• Algorithmic and data justice
• Internet studies
• Technology and society
• +۹ مورد دیگر

Juan Carlos De Martin is a Full Professor of Computer Engineering at the Polytechnic of Turin, where he is also co-founder and co-director of the Nexa Center for Internet & Society. He holds a Faculty Associate position at the Berkman Klein Center for Internet & Society at Harvard University and is a member of the Scientific Council of the Treccani Institute and the Steering Committee of Biennale Democracy. He previously served as Vice Rector for Culture and Communication at the Polytechnic of Turin (2018–2023) and as president of its libraries (2007–2015). His research centers on the societal implications of digital technologies, with a strong emphasis on algorithmic and data justice, digital power, and the democratic challenges posed by modern technology. He advocates for a more democratic and ethical technological future, particularly critiquing the dominance of smartphones and promoting digital sovereignty. His recent publications reflect a clear trend toward ethical AI, data protection, and the social impact of algorithms. He has published on gender bias in language models, GDPR compliance tools, and non-discrimination audits in software, demonstrating a sustained commitment to fairness, transparency, and accountability in digital systems. Best Student Paper Award IEEE ISCC 2011 Best Student Paper Award IEEE ICME 2005 Fellow at Harvard University (Berkman Klein Center) (2011–2015, 2016–2024) Faculty Associate at Collège d'études mondos, France (2016) De Martin has advised PhD students like Marco Rondina on Responsible AI and has led numerous EU-funded research projects such as COMMUNIA and DECODE. He has also played a key role in public policy, serving on ministerial working groups on AI and online hate. He is the founder of the Biennale Tecnologia and has authored influential books on the future of universities and technology, all published under Creative Commons licenses. He leads the Nexa Center for Internet & Society, a multidisciplinary research group focused on the legal, economic, and social aspects of the Internet. The center fosters collaboration between computer scientists, legal scholars, and social scientists to address pressing digital challenges.

Przemyslaw Grabowiczمشاهده پروفایل

استادیار

• fair and explainable machine learning
• data science
• computational social science
• +۱۲ مورد دیگر

Przemyslaw Grabowicz is an Assistant Professor of Computer Science at University College Dublin and an Adjunct Professor at the University of Massachusetts Amherst. He leads the SIMS (Socially Intelligent Media and Systems) Lab and the EQUATE initiative, and is actively involved in the Knowledge Discovery Lab (KDL). His work bridges computer science, social science, and public policy, focusing on responsible AI and digital society. Research Interests: Fair and Explainable Machine Learning Computational Social Science Social Media and Network Science Public Opinion Modeling Algorithmic Bias and Discrimination Prevention Open-World Learning His research develops statistical and machine learning methods to understand and augment public opinion in digital environments, ensuring fairness, transparency, and societal benefit. He emphasizes legal compliance and ethical design in AI systems. Recent Research Trends: His recent publications focus on social media polls, political bias, misinformation, and fairness in machine learning. He investigates how algorithmic systems shape public discourse, especially during elections and global crises, and develops methods to detect and mitigate bias in data and models. Scientific Awards and Recognition: Best Paper Honorable Mention, ICWSM’25 WICI Data Challenge Main Prize (2013) Arnold O. Beckman Research Award Multiple UMass Amherst Interdisciplinary Research Grants Volkswagen Foundation Grants (over €900k total) Advising and Grants: Dr. Grabowicz supervises several PhD students in the SIMS and KDL labs and collaborates with MS students. He has secured significant funding from the Volkswagen Foundation, UMass Amherst, and the University of Illinois, supporting research on political misinformation, media bias, and global agenda setting. He is currently recruiting a postdoc at UCD. Labs and Initiatives: He heads the SIMS Lab and the EQUATE initiative, and contributes to the KDL. His project socialpolls.org explores public opinion through social media, and he maintains an active presence through the Uncommon Good blog on responsible AI.

Joel Greenhouseمشاهده پروفایل

استاد

• Statistical Methodology
• Biostatistics
• Meta-Analysis
• +۴ مورد دیگر

Joel Greenhouse is a Professor of Statistics at Carnegie Mellon University (CMU), affiliated with the Department of Statistics & Data Science. He has been on the faculty since 1983 and held leadership roles, including serving as Associate Dean of the College of Humanities and Social Sciences from 1997 to 2002. He also holds an adjunct appointment as Professor of Epidemiology and Psychiatry at the University of Pittsburgh. His expertise spans statistical methodology, clinical trial design, and meta-analysis, with a focus on integrating data from multiple sources to address complex healthcare and public health challenges. Greenhouse earned his Ph.D. in Biostatistics from the University of Michigan and completed a postdoctoral fellowship at CMU. His research emphasizes developing statistical tools for observational studies, clinical trials, and meta-analytic frameworks, particularly in neurology, mental health, and public policy contexts. Notable contributions include analyzing the impact of media on youth suicide rates, improving aphasia classification through automated speech analysis, and evaluating highway safety through driver health data. Education: Ph.D. in Biostatistics, University of Michigan Affiliations: Adjunct Professor at University of Pittsburgh, Member of National Academy of Sciences’ committees Professional Service: Data and safety monitoring boards for NIH/VA studies, co-chair of Federal Motor Carrier Safety Administration review panels His awards include CMU’s Doherty Award for Education, Ryan Teaching Award, and E. Dunlop Smith Award for teaching excellence. His work bridges theoretical statistics with real-world applications, particularly in interdisciplinary collaborations across medicine, psychology, and public policy. Greenhouse’s recent articles highlight trends in leveraging large datasets for clinical insights (e.g., aphasiaBank), re-evaluating environmental and behavioral health associations, and advancing causal inference methods. His interdisciplinary approach ensures statistical rigor addresses societal challenges, from suicide prevention to highway safety.

Ning Luمشاهده پروفایل

استاد

• Unsaturated Soil Mechanics
• Vadose Zone Hydrology
• Slope Stability
• +۷ مورد دیگر

Ning Lu is a Professor in the Department of Civil and Environmental Engineering at the Colorado School of Mines, College of Engineering and Computational Sciences. His work focuses on fundamental soil physical processes in variably saturated porous media, with applications in geotechnical and environmental engineering. Research Interests: Dr. Lu's research spans unsaturated soil mechanics , vadose zone hydrology , slope stability , and soil-water interaction . He investigates fluid flow, chemical transport, heat transfer, stress, and deformation across scales—from atomic potentials to engineering-scale behavior. His work addresses critical problems such as expansive soil damage, nuclear waste containment, and shallow landslides induced by rainfall. His recent publications (2016–2024) reflect a cohesive research program advancing the theoretical foundations of soil physics. Key themes include re-evaluating classical concepts like pore water pressure, developing unified models for soil water retention and hydraulic conductivity, and introducing suction stress as a critical variable for slope instability prediction. These works appear in leading journals such as the Journal of Geotechnical and Geoenvironmental Engineering and Reviews of Geophysics , indicating sustained high-impact contributions to the field. Scientific Awards: Karl Terzaghi Award, American Society of Civil Engineers, 2023 Norman Medal, American Society of Civil Engineers, 2021 Maurice Biot Medal, American Society of Civil Engineers, 2017 Ralph B. Peck Medal, American Society of Civil Engineers, 2017 Practice Paper of the Year Award, GTJ, ASTM, 2016 J.J. Croes Medal, American Society of Civil Engineers, 2010 Advising and Grants: While specific students and grants are not listed, Dr. Lu has authored two influential textbooks— Unsaturated Soil Mechanics (2004) and Hillslope Hydrology and Stability (2012)—indicating significant educational leadership and mentorship. His service on the National Academies committee for Spirit Lake/Toutle River system (2016–2017) reflects engagement in national-level environmental and engineering policy. Labs and Teams: Although no specific lab or team name is provided, his research program involves experimental, theoretical, and computational approaches to soil physics, likely supported by a research group at Colorado School of Mines.

Shiri Azenkotمشاهده پروفایل

دانشیار

• Accessibility
• Human-Computer Interaction
• Assistive Technology
• +۴ مورد دیگر

Shiri Azenkot is an Associate Professor of Information Science at the Jacobs Technion-Cornell Institute, Cornell Tech, Cornell University, where she directs the Enhancing Ability Lab. She also serves as an affiliate faculty member in the Computer Science Department at the Technion--Israel Institute of Technology. Her research leverages artificial intelligence to design enabling systems that promote equity and improve quality of life for marginalized populations, with a current focus on visual impairments. Her educational background includes a PhD in Computer Science & Engineering from the University of Washington, advised by Richard Ladner and Jacob Wobbrock. Azenkot's research centers on intelligent interactive systems that enhance perception and ability for people with disabilities. She investigates perceptual abilities and behaviors to design novel systems for navigation, STEM learning, and socialization. Her work spans accessibility, human-computer interaction, and the application of AI/XR technologies to create inclusive solutions for blind and low-vision populations, addressing critical gaps in assistive technology. Recent publications reveal strong trends in developing real-time AI-powered assistive tools for low-vision users, accessible STEM education through tactile interfaces, and examining social dynamics of disability in digital spaces. Her work bridges technical innovation with deep user-centered design, particularly in XR accessibility through co-founded initiatives like XR Access. Scientific awards include: NSF CAREER Award NSF CRII Award 10-year Impact Award at MobileHCI Google Faculty Award Azenkot has advised students including Yuhang Zhao (now Assistant Professor at University of Wisconsin-Madison), Lei, and Danielle. Her research is funded by NSF, AOL, Verizon, and Facebook. She co-founded XR Access and leads the Enhancing Ability Lab, which conducts user studies and develops systems like Markit/Talkit and Livefonts. Current projects include XR accessibility REU programs and symposiums advancing industry-academia collaboration. She directs the Enhancing Ability Lab at Cornell Tech and co-leads XR Access, driving community initiatives to make augmented/virtual reality accessible while mentoring the next generation of accessibility researchers through funded REU programs and industry partnerships.

Tim Berners-Leeمشاهده پروفایل

استاد

• Computer Science
• Information Systems
• Network Protocols
• +۷ مورد دیگر

Tim Berners-Lee is a British computer scientist and inventor of the World Wide Web. He holds the 3Com Founders Chair at the Massachusetts Institute of Technology (MIT) Computer Science and Artificial Intelligence Laboratory since 1994 and is a Professor at the University of Southampton (2004-present) and the University of Oxford (2016-present) in Computer Science. His work revolutionized global information sharing through the creation of HTML, HTTP, URLs, and the first web browser/server, enabling the Web's scalability via existing Internet protocols. Key research areas include networked hypertext systems, semantic web technologies, Internet architecture, and societal impacts of digital infrastructure. He founded the World Wide Web Consortium (W3C) in 1994 to standardize web technologies and the World Wide Web Foundation in 2008 to advocate for digital equality. His technical minimalism prioritized immediate utility over theoretical perfection, leveraging Unix and TCP/IP foundations. ACM A.M. Turing Award (2016) Knighted as KBE (2004) Order of Merit (2007) Fellow of Royal Society, IEEE, and American Academy of Arts and Sciences Berners-Lee's advocacy spans data privacy, open standards, and resistance to centralization. He criticized proprietary social media dominance and promoted decentralized systems like Solid for personal data control. His career bridges technical innovation with profound societal reflection, emphasizing harmonious global digital cooperation and ethical governance.

Cleotilde Gonzalezمشاهده پروفایل

استاد پژوهشی

• Decision Science
• Cognitive Psychology
• Human-Computer Interaction
• +۵ مورد دیگر

Cleotilde (Coty) Gonzalez is a Research Professor of Decision Sciences at Carnegie Mellon University, with primary affiliation in the Department of Social and Decision Sciences (SDS). She serves as the Founding Director of the Dynamic Decision Making Laboratory (DDMLab) and Research Co-Director of the NSF National Institute for AI for Societal Decision Making (AI-SDM). Her extensive academic affiliations include the Security and Privacy Institute (CyLab), the Societal Computing program in the Software and Societal Systems Department (S3D), the Human-Computer Interaction Institute (HCII) in the School of Computer Science, and the Center for Behavioral Decision Research (CBDR) and Center for Neural Basis of Cognition (CNBC). Dr. Gonzalez holds a Ph.D. in Management Information Systems and has developed Instance-Based Learning Theory (IBLT), a significant contribution to cognitive science that explains how people make decisions based on past experiences. Her research spans experimental studies and computational modeling of cognitive processes in dynamic decision environments, with applications in cybersecurity, human-machine teaming, and societal decision making. Her recent publications reveal a strong focus on human-AI collaboration, collective intelligence, cybersecurity, and cognitive modeling. The research trends show increasing integration of AI systems with human decision processes, particularly examining how humans and AI can complement each other in complex decision environments. Her work increasingly addresses cybersecurity challenges through behavioral science perspectives, exploring how cognitive models can improve defense mechanisms against social engineering attacks. Lifetime Fellow of the Cognitive Science Society Lifetime Fellow of the Human Factors and Ergonomics Society Member of the Governing Board of the Cognitive Science Society Member at Large of the Policy Council of the System Dynamics Society Committee member of the National Academies Division Committee for the Behavioral and Social Sciences and Education Dr. Gonzalez has mentored over 50 post-doctoral fellows and doctoral students, with many going on to successful careers in academia, government, and industry. Her research has been supported by major collaborative efforts including Collaborative Research Alliances (CRA) and Multi-University Research Initiative grants from the Army Research Laboratories (ARL) and Army Research Office (ARO), as well as projects with the Defense Advanced Research Projects Agency (DARPA). She directs the Dynamic Decision Making Laboratory, which conducts research involving laboratory experiments and cognitive computational models to derive theoretical conclusions about dynamic decision making and develop applications for societal problems.

Berit Greinkeمشاهده پروفایل

استادیار

• Wearable Computing
• Electronic Textiles (E-Textiles)
• Smart Materials
• +۴ مورد دیگر

Berit Greinke is an Assistant Professor of Wearable Computing at the Berlin University of the Arts (UdK) and the Einstein Center Digital Future (ECDF) since 2018, previously serving as a researcher at UdK's Design Research Lab and DFKI (2016-2018). Her academic foundation includes a PhD from Queen Mary University of London (2017), an MA from Central St Martins (2009), and a Diploma from Weissensee Academy of Art Berlin (2007). Her educational trajectory: PhD in Media and Arts Technology, Queen Mary University of London (2017) MA in Design for Textile Futures, Central St Martins College of Art and Design (2009) Diploma in Textile and Surface Design, Berlin Weissensee School of Art (2007) Greinke's research pioneers the convergence of craft, textile design, and digital technology, with core expertise in electronic textiles and smart materials. She investigates metamaterial-based 'metatextiles' for electromagnetic applications and explores transdisciplinary collaboration between designers and scientists, particularly regarding 'negative data' in creative and scientific workflows. Her current UdK work focuses on four interconnected domains: performing materials for expressive textile/fashion design; multi-modal sensing converting visual processes into haptic/audible experiences; micro-to-macro material design spanning nanostructures to final products; and transdisciplinary processes for technology-art-science collaboration. Analysis of her 2020-2025 publications reveals dominant trends in sustainable textile electronics, with emphasis on knitted/folded sensor structures, origami-inspired capacitive shape estimation, and social sustainability in e-textile communities. Her work uniquely bridges fundamental material science (e.g., textile metamaterials) with artistic applications (e.g., interactive orchestra garments) and industrial production challenges. Berit Greinke supervises PhD students including Giorgia Petri. Her junior professorship is co-financed by SAP under a public-private partnership model, supporting projects like WEAR (Wearable technologists engage with artists for responsible innovation) and STELEC (Sustainable Textile Electronics), which emphasize ethical co-design and industry-academia collaboration. She leads research within UdK's Institute for Product and Process Design and collaborates with the Design Research Lab (formerly part of Connected Textiles group), focusing on sustainable industrial production of electronic clothing and transdisciplinary innovation frameworks.

• Animal Welfare
• Animal Behavior
• Human-Animal Interaction
• +۳ مورد دیگر

Maria Camila Ceballos Betancourt is an Assistant Professor (Teaching & Research) in Beef Cattle Welfare at the Faculty of Veterinary Medicine , University of Calgary . She holds a Ph.D. and M.Sc. in Animal Welfare and Behaviour from São Paulo State University (UNESP) , Brazil, and a B.Sc. in Animal Science from National University of Colombia . Her research focuses on animal welfare , human-animal interactions , and cattle temperament , with an emphasis on livestock handling practices and sustainable production systems . Education: B.Sc. in Animal Science, National University of Colombia (2010) M.Sc. in Animal Welfare and Behaviour, UNESP (2014) Ph.D. in Animal Welfare and Behaviour, UNESP (2017) She teaches VETM322: Animal Welfare and Behaviour annually since 2020. Her research integrates animal behavior , physiological and reproductive performance measures , and applied handling interventions . Recent publications address grimace scales for pain assessment , human-animal dynamics in livestock systems , and technological innovations for piglet monitoring , reflecting her interdisciplinary approach between agricultural science , veterinary medicine , and behavioral neuroscience . Her work spans continents, including internships at the Animal Welfare Science Centre (University of Melbourne, Australia) and postdoctoral research at the University of Pennsylvania (USA). While no formal awards are listed, her research has been highlighted in media outlets like Canadian Cattlemen’s The Beef Magazine and CBC Calgary .