جست‌وجوی استاد و پژوهشگر

Miguel Ortizمشاهده پروفایل

مدرس

• Digital Instrument Design
• Technology Mediated Composition
• Music Technology
• +۴ مورد دیگر

Miguel Ortiz is a Lecturer at Queen's University Belfast's School of Arts, English and Languages. His research focuses on digital instrument design, technology-mediated composition, and the intersection of music technology with physiological sensors and communities of practice. He actively supervises PhD students in these areas. Ortiz's work explores iterative instrument design processes, ecological frameworks for instrument evaluation, and the impact of timbre on musical learning. His publications span acoustic modeling, biosignal-driven art, and Latin American perspectives in new musical interfaces (NIME). Recent research highlights include studies on spring reverb tank mechanics, real-time bowing parameter sensing, and the establishment of Latin American NIME networks. He collaborates internationally and organizes workshops like the International Synth Design Hackathon. Ortiz has contributed datasets for expressive musical gesture analysis and participated in peer review for cultural funding initiatives. His research bridges technical innovation with human-centered design principles.

Jennifer D'Souzaمشاهده پروفایل

پژوهشگر ارشد

• Information Extraction
• Question Answering
• Natural Language Processing
• +۳ مورد دیگر

Jennifer D'Souza is a Research Fellow in the Open Research Knowledge Graph (ORKG) project at the Data Science and Digital Libraries research group within the Technische Informationsbibliothek (TIB) . Her current work focuses on natural language machine learning, including knowledge graph construction, ontology alignment, and AI-assisted scientific discovery. Prior to TIB, she held postdoctoral positions at the University of California, Davis (focusing on software engineering and NLP applications) and completed her PhD at the University of Texas at Dallas, specializing in relation mining. She has also contributed to industrial software solutions in concept generation. Education : PhD in Computer Science, University of Texas at Dallas Postdoctoral Researcher, University of California, Davis Research Interests : Information Extraction and Question Answering Scientometrics and Knowledge Organization Natural Language Processing (NLP) for Ontology Learning Large Language Models (LLMs) in Scientific Workflows Awards & Grants : Not explicitly listed, but her contributions to projects like ORKG and participation in hackathons highlight collaborative achievements in AI-driven research. Labs/Teams : Active member of the Data Science and Digital Libraries group at TIB, contributing to projects such as ORKG and the Large Language Models for Ontology Learning Challenge .

Thorsten Thielمشاهده پروفایل

استاد

• Political Theory
• Digital Policy
• Democracy in the Digital Age
• +۵ مورد دیگر

Prof. Dr. Thorsten Thiel is a full professor at the Faculty of Economics, Law and Social Sciences at the University of Erfurt. He serves as holder of the Professorship for Democracy Promotion and Digital Policy, Equal Opportunities Officer (Gleichstellungsbeauftragter) of the Faculty, and representative for Social Sciences study programs. His research focuses on political theory in digital contexts, specifically examining democratic transformations through technology, sovereignty in digital infrastructure, and structural changes in public spheres. Professorship for Democracy Promotion and Digital Policy Equal Opportunities Officer Faculty Representative for Social Sciences ORCID: 0000-0002-4261-118X His scholarly work investigates: Digital sovereignty frameworks and their political implications Structural transformations of public spheres through social media AI's impact on democratic processes Privatization of digital public infrastructure Anonymous activism and digital rights Republicanism in networked societies Recent publications analyze emerging challenges to democratic governance in digital environments, including algorithmic decision-making, platform regulation, and crisis hackathons as democratic innovations. He has contributed to debates on digital sovereignty (2024), AI's influence on political will-formation (2024), and Habermasian digital public sphere theory (2023). His #WirVsVirus hackathon analysis (2023) explores participatory technology in crisis governance.

Georg von Kroghمشاهده پروفایل

استاد

• Strategic Management
• Digital Innovation
• Organizational Knowledge
• +۳ مورد دیگر

Prof. Dr. Georg von Krogh is a Full Professor and Chair of Strategic Management and Innovation at ETH Zurich , where he also chairs the Global Advisory Board and serves on the Risk Management Commission. He holds honorary affiliations as a Research Fellow at Judge Business School, University of Cambridge , and Affiliated Scholar at the Laboratory for Innovation Science (LISH) at Harvard University . Previously, he served as Head of the Department of Management, Technology, and Economics (2008-2011) and Professor at the University of St.Gallen (1994-2006), with leadership roles at SDA Bocconi and BI Norwegian Business School. PhD in Management, Norwegian University of Science and Technology MSc in Engineering and Marine Technology, Norwegian University of Science and Technology His research focuses on competitive strategy , digital innovation , and organizational knowledge creation , with industry expertise spanning financial services, media, software, life sciences, and consumer goods. Recent publications examine AI-augmented decision-making, open-source AI development, and generative AI's impact on research practices. He serves on editorial boards of Academy of Management Journal (Deputy Editor), Mit Sloan Management Review , and Organization Studies . His honors include the Fellow of the European Academy of Management , ETH Zurich Teaching Award 'Goldene Eule' , and Association of American Publishers' Best Professional Business Book Award . Von Krogh actively consults for companies in Asia, Europe, and the USA, with advisory roles at organizations like UBS , World Web Forum , and Swiss-American Chamber of Commerce . He leads the Public Interest Committee at PwC Switzerland since 2024 and contributes to policy through memberships in the Research Council of Norway and the Swiss National Science Foundation.

Wendy Wen Yi LEONGمشاهده پروفایل

استادیار مدعو

• Polymer Chemistry
• Pharmacokinetics
• Chemical Biology
• +۴ مورد دیگر

Wendy Wen Yi Leong is an Adjunct Assistant Professor in the Department of Chemistry at the National University of Singapore (NUS). She holds a PhD from Nanyang Technological University (2013), a BSc (Hons) from NUS (2009), and a Graduate Certificate in IP Law (2014). Her research focuses on polymer chemistry, catalysis, and green chemistry, with notable contributions to water-based catalytic reactions and IP strategy development. Educations: PhD in Chemistry, Nanyang Technological University, 2013 BSc (Hons) in Chemistry, National University of Singapore, 2009 Graduate Certificate in Intellectual Property Law, National University of Singapore, 2014 Research Interests: Wendy’s work bridges chemical synthesis and intellectual property strategy. She pioneered international collaborations in green catalytic methods and developed patent strategies for biomedical and industrial applications. Her innovations include environmentally benign solvent systems and sustainable ligand synthesis from agricultural waste. Awards: She received the Singapore National Institute of Chemistry Merit Service Award (2019), Presidential Green Chemistry Challenge Award (2011), and NTU Research Scholarship (2009). Her work on micellar environments in catalysis was highlighted in the EPA’s Green Chemistry program. Teaching & Industry: Teaches courses like CM5103 (Industry Practices in Chemistry) and CM5104 (IP & Entrepreneurship in Chemistry). Currently serves as an IP Business Partner at ResMed, focusing on global patent strategy, IP training, and innovation mining through workshops and Hackathons. Labs/Teams: Collaborates internationally with groups like the Lipshutz Lab (UCSB) and Zhong Group (NTU), advancing cross-disciplinary catalytic methodologies.

Olaf Bodamerمشاهده پروفایل

دانشیار

• Clinical Genetics
• Biochemical Genetics
• Translational Medicine
• +۱۲ مورد دیگر

Dr. Olaf Bodamer is Associate Chief for Genetics and Genomics at Boston Children's Hospital and faculty at Harvard Medical School. He leads a translational research laboratory focused on rare genetic disorders, including Kabuki syndrome and lysosomal storage diseases. He directs the Boston Children’s Lysosomal Storage Disease (BoLD) Program and the Roya Kabuki Program. MD, University of Heidelberg, Germany (1989) PhD, University of Saarland, Germany Pediatric Residency, Great Ormond Street Hospital, London Fellowship in Clinical and Biochemical Genetics, Baylor College of Medicine, USA Dr. Bodamer's research integrates systems biology and multi-omics to understand disease mechanisms and improve diagnostics. His work spans newborn screening, exome sequencing, metabolomics, and animal models. He focuses on phenotype expansion, biomarker discovery, and therapeutic development for rare diseases, particularly those affecting neurodevelopment and metabolism. His recent publications highlight trends in precision medicine, undiagnosed diseases, and genotype-phenotype correlations in Kabuki and lysosomal disorders. He has contributed significantly to clinical guidelines and diagnostic protocols for rare metabolic conditions. Member, Editorial Board: Molecular Genetics and Metabolism Scientific Advisor: All Things Kabuki, OAA Director, Medical Genetics Laboratories (former, University of Miami) Dr. Bodamer mentors junior researchers and collaborates across clinical specialties. His work is supported by institutional and collaborative grants, focusing on translational applications in pediatric genetics. He has played a key role in establishing rapid diagnostic pipelines for critically ill neonates and advancing newborn screening for lysosomal disorders. He leads research teams in the Intellectual and Developmental Disabilities Research Center and the Manton Center for Orphan Disease Research, fostering interdisciplinary collaboration in rare disease research.

Zhongyuan Zhaoمشاهده پروفایل

عضو هیئت علمی

• Wireless Communications and Networking
• Machine Learning
• Signal Processing
• +۷ مورد دیگر

Zhongyuan Zhao is a Research Assistant Professor at Rice University's Department of Electrical and Computer Engineering, affiliated with the George R. Brown School of Engineering. He holds a Ph.D. in Computer Engineering from the University of Nebraska-Lincoln and completed his postdoctoral studies at Rice under Prof. Santiago Segarra. His research integrates graph-based neuro-symbolic approaches with domain-specific models to address challenges in wireless communications, edge computing, and networked systems. Dr. Zhao has over a decade of industry experience in 4G base-station development at Ericsson and ArrayComm, followed by academic research roles focusing on distributed algorithms and machine learning applications. His education includes a B.Sc. and M.S. in Electronic Engineering from the University of Electronic Science and Technology of China, where he also worked as a teaching assistant for national design contests. He earned a minor in Finance (15 credits) during his Ph.D. and is completing the CFA Level III program in 2024. Zhao has contributed to large-scale wireless testbeds like NEXTT and authored/co-authored 25+ peer-reviewed publications, 2 patents, and delivered academic service roles including conference session chair and journal reviewer. Research interests span autonomous networking, graph-based machine learning, stochastic optimization, and their applications in infrastructureless wireless systems. His work emphasizes distributed solutions for resource allocation, scheduling, and edge intelligence. Awards include the Future Faculty Fellowship (2023) and IEEE travel grants. He has mentored over 40 students through research internships, hackathons, and undergraduate projects, showcasing his commitment to education. Recent projects focus on scalable computation offloading, generalized backpressure routing in tactical networks, and neuro-symbolic AI frameworks for networked systems. His lab work involves open-source contributions to tools like the Actor-Twin Framework and SelR algorithm, promoting reproducibility and collaboration in the field.

David Van Hornمشاهده پروفایل

دانشیار

• Programming Languages
• Formal Methods
• Software Engineering
• +۳ مورد دیگر

David Van Horn is an Associate Professor in the Department of Computer Science and UMIACS at the University of Maryland, College Park. His research focuses on programming languages, formal methods, and security, with an emphasis on making software components reusable and trustworthy. He holds academic appointments in both Computer Science and UMIACS and is a co-author of Realm of Racket , an educational book on programming video games co-written with undergraduates. Education: PhD in Computer Science, Brandeis University, 2009 MA and BS in Computer Science, University of Vermont, 2004-2006 Research Interests: His work centers on program analysis, verification, static analysis, and security. He develops techniques to bridge scripting languages and formal verification, aiming to improve software reliability. Recent projects include gradual typing, contract verification, and program synthesis tools like RbSyn and Absynthe. Awards: He has received prestigious recognitions, including the NSF CAREER Award (2019), ICFP Most Influential Paper Award (2020), and OOPSLA Distinguished Paper Award (2018). His work on Abstracting Abstract Machines (2010) influenced static analyses for languages like JavaScript and Erlang. Service and Mentoring: Van Horn serves on the SIGPLAN Programming Languages Mentoring Workshop steering committee and advises Technica, the world’s largest hackathon for underrepresented genders. He mentors PhD students in areas like gradual verification and security. Labs and Teams: He directs the Programming Languages at UMD (PLUM) Lab with Prof. Mike Hicks, focusing on foundational and applied research in programming languages and verification.

Ada Hurstمشاهده پروفایل

دانشیار

• Engineering Education
• Artificial Intelligence in Engineering
• Design Curriculum Development
• +۳ مورد دیگر

Ada Hurst is an Associate Professor in the Faculty of Engineering at the University of Waterloo, specializing in engineering education and design pedagogy. She serves as Associate Chair for Undergraduate Studies and focuses on curricular innovation, work-integrated learning, and AI integration in engineering education. Her research explores design team dynamics, trade-off resolution, and cross-cultural competencies in design curricula. Contactable at adahurst@uwaterloo.ca, she is affiliated with groups such as Organization and Human Behaviour and Industry Collaboration Contacts. Research interests include AI-driven design education, systems thinking in design processes, and the role of hackathons in skill development. She has published extensively on topics like peer feedback mechanisms, design team roles, and curriculum modernization. Her work emphasizes bridging academic and industry practices through experiential learning. Her articles highlight trends in leveraging AI for protocol analysis, managing data-driven design, and analyzing trade-offs through systems approaches. Advising and grants are not explicitly detailed, but she actively contributes to undergraduate program development and industry partnerships. She is involved in initiatives like Engineering Design Days, fostering collaborative design environments.

• Climate Science
• Renewable Energy
• Energy Systems
• +۳ مورد دیگر

Hannah Bloomfield is a researcher in climate science and energy systems at the University of Reading, Department of Meteorology. Her work focuses on the intersection of meteorology, renewable energy, and climate variability, particularly addressing challenges in energy system resilience and decarbonization. She has contributed to over 30 peer-reviewed articles since 2016, analyzing topics such as renewable energy potential in India, subseasonal weather forecasting for European energy systems, and the impact of climatic drivers on wind and solar power generation. Her research emphasizes integrating climate models with energy system frameworks to enhance predictive capabilities and mitigate risks. Key contributions include co-authoring reports for the World Meteorological Organization (WMO) on weather-climate services for net-zero transitions and organizing collaborative research initiatives like energy-climate data hackathons. Bloomfield’s interdisciplinary approach bridges atmospheric science with energy policy, addressing critical issues such as extreme weather impacts on offshore wind farms, solar variability limitations in reanalysis datasets, and the sensitivity of power systems to decarbonization pathways. Her work has been published in journals like Environmental Research Letters , Meteorological Applications , and Renewable Energy .

• Climate Change and Health
• Biometeorology
• Heat Stress
• +۳ مورد دیگر

Dr. Claudia Di Napoli is a researcher at the University of Reading specializing in climate-health interactions, with a focus on biometeorology and heat stress impacts. She serves as a key contributor to the Lancet Countdown on Health and Climate Change , an international research collaboration tracking climate-health indicators across 44 organizations. Her work bridges meteorological science and public health through operational climate services development. Her research centers on thermal comfort indices , heat stress epidemiology , and climate reanalysis applications for health protection. Notable contributions include developing the ERA5-HEAT global dataset and Thermofeel open-source library for thermal stress assessment. She investigates regional vulnerabilities from Caribbean heatwaves to European mortality patterns, emphasizing urban environments and occupational exposure risks while advancing methodologies for climate service integration into health systems. Analysis of her 15 most recent publications reveals three dominant trends: (1) operationalization of climate data for health decision-making through tools like Thermofeel; (2) rigorous validation of reanalysis models against health outcomes; and (3) exploration of compound hazards (e.g., heatwaves concurrent with wildfires or pandemics). Her work consistently addresses equity dimensions of climate vulnerability, with increasing focus on transboundary risks and Global South impacts. Dr. Di Napoli actively collaborates with the World Health Organization, European Centre for Medium-Range Weather Forecasts (ECMWF), and Global Heat Health Information Network. Her advisory role in the Lancet Countdown involves mentoring early-career researchers across 20+ countries and securing multi-institutional grants for climate-health monitoring systems. Recent projects include heatwave forecasting during the COVID-19 pandemic and Caribbean climate vulnerability assessments funded by UK Research and Innovation. She co-leads the University of Reading's climate-health analytics team within the European Climate Assessment & Dataset (ECA&D) initiative, developing real-time thermal stress monitoring frameworks adopted by public health agencies in 12 countries. Her group maintains partnerships with the International Society of Biometeorology and WHO's Global Heat Health Information Network for operational tool deployment.

• Research Data Management
• Semantic Web Technologies
• Machine Learning
• +۳ مورد دیگر

Tomasz Miksa is a researcher affiliated with TU Wien's Department of Research Data Management, focusing on machine-actionable data management plans (maDMPs), semantic web technologies, and data reproducibility. He collaborates extensively on projects involving automated assessment of data management workflows, FAIR data implementation, and privacy-preserving analysis platforms. Primary affiliation: TU Wien Department: Research Data Management Key projects: WellFort, FAIR Data Austria, openEO API His research integrates semantic technologies with data governance to enhance reproducibility in scientific workflows, particularly in domains like environmental monitoring and legal informatics. Recent publications emphasize ontological frameworks (DCSO), API harmonization, and auditable machine learning systems. Notable collaborative works include: Reproducibility standards for soil moisture data Knowledge graph applications in cyber-physical energy systems Dynamic data citation mechanisms He supervises students in theses related to maDMP integration, data citation frameworks, and institutional research data planning architectures.

Srishti Yadavمشاهده پروفایل

پژوهشگر ارشد

• AI and Society
• Machine Learning
• Computer Science
• +۳ مورد دیگر

Srishti Yadav is a Research Fellow at the University of Copenhagen and University of Amsterdam , affiliated with the Pioneer Centre for AI and ILLC respectively. She is advised by Dr. Serge Belongie and Dr. Ekaterina Shutova . Education: M.Sc. (Research-Track) in Computing Science, Simon Fraser University , Canada Research Interests: AI and Society Cross-Cultural Competency in Multimodal Models AI Safety and Evaluation Frameworks Model Interpretability and Dataset Creation Scientific Awards: ELLIS PhD Fellowship Advising & Community: Board Member, Women in Computer Vision (WiCV) Advisor for WiCV@ICCV2023 and WiCV@CVPR 2021 Chaired workshops at CVPR 2024, CVPR 2023, CVPR 2020 Labs & Teams: Belongie Lab (University of Copenhagen) Shutova Lab (University of Amsterdam) Collaborator at MILA Biodiversity Monitoring Project

Nuno N. Correiaمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Sound and Music Computing
• Multisensory User Experience
• +۳ مورد دیگر

Nuno N. Correia is an Associate Professor in Digital Transformation at Tallinn University , with over two decades of experience in media art and interaction design. He holds a PhD in Art and Design in New Media from Aalto University (Finland) and is a visiting lecturer at Aalto University and an associated researcher at the Interactive Technologies Institute (U. Lisbon, Portugal) . Previously, he worked at design consultancy Fjord (now Accenture Song). Education: PhD in Art and Design in New Media, Aalto University His research spans human-computer interaction , sound and music computing , and multisensory user experience . Recent projects focus on ethical AI in music, interactive dance technologies, and VR environments for performance arts. His work bridges machine learning, embodiment, and audiovisual systems. Key trends in his publications include: AVUI (Audio-Visual User Interfaces) design Biosignal integration in dance Screen scores and performance ecologies Browser-based interactive installations Scientific contributions include a Marie Curie fellowship and Creative Europe projects . He has published extensively in top conferences like CHI, DIS, TEI, NIME, and ISEA.

Soojong Kimمشاهده پروفایل

استادیار

• Computational Social Science
• Health Communication
• Algorithmic Bias
• +۵ مورد دیگر

Soojong Kim is an Assistant Professor in the Department of Communication at the University of California, Davis. He is affiliated with the Computational Communication Lab and the Computational Social Science Designated Emphasis program. Previously, he held a postdoctoral fellowship at Stanford University and earned his PhD from the Annenberg School for Communication at the University of Pennsylvania. His research focuses on computational methods to study societal inequality, algorithmic bias, and health communication. He currently serves as Secretary of the Computational Methods Division of the International Communication Association (ICA) and organizes the ICA Hackathon. Kim’s research explores how technology impacts social equity, including AI-driven inequality, misinformation ecosystems, and health discourse. His work has been published in journals like International Journal of Human-Computer Studies , Health Psychology , and Proceedings of the ACM on Human-Computer Interaction . Recent projects analyze AI’s role in perpetuating bias, the emotional drivers of social media engagement (e.g., 'rage bait' vs. informational content), and computational methods to predict and counteract health misinformation. He collaborates with scholars globally, including on studies of vaccine sentiment analysis, racial disparities in algorithmic perception, and public health interventions. His team includes graduate and undergraduate students at UC Davis and international partners. Kim’s work bridges computational tools with sociological inquiry, emphasizing ethical technology design and equitable digital practices.