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Vincent John Mooney IIIView profile

Associate Professor

• Hardware-Software Co-Design
• Cyber Physical Systems Security
• System Level Design
• +7 more

Vincent John Mooney III is an Associate Professor at the School of Electrical and Computer Engineering and an Adjunct Associate Professor at the School of Computer Science, Georgia Institute of Technology. His research focuses on Hardware-Software Co-Design , Cyber Physical Systems Security , and Low-Power Architectures . He has authored numerous publications on topics such as probabilistic computing, hardware security, and embedded systems design. Dr. Mooney has received prestigious awards including the NSF Career Award , National Semiconductor Fellowship , and ARCS Best Paper Award . Education: Ph.D. in Electrical Engineering (1998), Stanford University MA in Philosophy (1997), Stanford University MS in Electrical Engineering (1994), Stanford University Certificate of Graduate Study (1992), University of Navarra BS in Electrical Engineering and Computer Science (1991), Yale University Research interests span hardware/software codesign, cybersecurity in embedded systems, and synthesis of reconfigurable architectures. His recent work includes Gridtrust for decentralized supply chain cybersecurity and COPPER for computation obfuscation. Dr. Mooney has supervised numerous Ph.D. students and held leadership roles in conferences such as HOST and CASES . Scientific awards include NSF Career Award (2000) National Semiconductor Fellowship (1997-1998) AT&T Engineering Scholarship Program (1987-1991) NCAA Postgraduate Scholar (1991) Senior Member, IEEE (2003) ARCS 2012 Best Paper Award Advising and grants highlight his mentorship of students like Jun Cheol Park and Yudong Tan , along with grants such as the U.S. Air Force Summer Faculty Fellowship (2007). He leads the Hardware/Software Codesign for Security Group at Georgia Tech and has contributed to advancements in real-time operating systems and deadlock detection algorithms.

Kashif RazaView profile

Research Fellow

• Educational Policy
• TESOL (Teaching English to Speakers of Other Languages)
• Multilingual Education
• +3 more

Kashif Raza is a Postdoctoral Fellow at the Department of Educational Studies (EDST) within the Faculty of Education at the University of British Columbia (UBC). His research focuses on multilingual education, TESOL (Teaching English to Speakers of Other Languages), language policies, and systemic issues in education, such as racism and immigration integration. He examines topics like racialized voter behavior, institutional racism in educational leadership, and the role of language in immigrant integration. His work often intersects with critical race theory, sociolinguistics, and policy analysis. Raza’s research spans diverse contexts, including Canadian, Gulf, and South Asian educational systems. He has explored challenges faced by immigrant professionals in healthcare, the impact of digital networks on political engagement, and the design of multilingual curricula. His contributions also include practical guidance for scholars, such as advice on publishing and navigating language policies in higher education. While his profile does not explicitly list educational credentials, his articles indicate deep engagement with global educational challenges. He has collaborated on projects addressing pandemic-era language education and climate action through EDST’s initiatives. No awards or grants are mentioned in the provided texts.

• Afro-Latin American Studies
• Latin American Literatures and Cultures
• US-Latin American Relations
• +3 more

George Palacios, Ph.D., is an Associate Professor of Spanish in the Department of Languages at Clemson University's College of Arts and Humanities. His work focuses on racialization and multiculturalism in Latin American nation-states through an Afro-diasporic lens, examining socio-political mobilizations and cultural expressions reshaping identities across Latin America and the Global South. Education: Ph.D. in Spanish from the University of Pittsburgh (2013); M.A. in Spanish from Purdue University (2004). Courses taught include Hispanic Literary Texts, Latin American Cultural Studies, and Spanish Language Immersion programs. Research Interests: Afro-Latin America, Colombian and Brazilian Literatures, US-Latin American Relations, and Global South Cultural Dynamics. He has published extensively on Afro-Colombian intellectual figures like Manuel Zapata Olivella, earning the 2021 Best Book Award from the Asociación de Colombianistas and the 2022 Clemson University Research Award. Articles and Books: His 2020 monograph Manuel Zapata Olivella (1920-2004) analyzes Zapata Olivella's radical political thought. Recent works critique mestizaje narratives and explore Blackness in colonial contexts. Articles appear in Revista de Estudios Colombianos , PALARA , and Escritos . Awards: Recognized for scholarly excellence in Afro-Latin American studies, including awards highlighting his contributions to decolonial theory and cultural critique. Professional Activities: Maintains an active research profile via Google Scholar (FTvxUjgAAAAJ) and engages in international academic collaborations.

Yu MengView profile

Assistant Professor

• Machine Learning
• Natural Language Processing
• Data Mining
• +3 more

Yu Meng is an Assistant Professor in the Department of Computer Science at the University of Virginia (UVA), part of the School of Engineering and Applied Science. He joined UVA in 2024 as a tenure-track faculty member. His research focuses on machine learning, natural language processing (NLP), and data mining, with recent emphasis on large language models (LLMs), alignment, reliability, and ethical AI development. Educated at the University of Illinois Urbana-Champaign (UIUC), Meng earned his Ph.D. in 2023 under advisor Jiawei Han. His doctoral thesis, Efficient and Effective Learning of Text Representations , received the ACM SIGKDD 2024 Dissertation Award. He also held a visiting researcher position at Princeton University under Danqi Chen and was a Google PhD Fellow. His work has been recognized with awards including the Superalignment Fast Grant from OpenAI and notable publications at venues like NeurIPS, ICLR, and ACL. Meng’s research explores topics such as preference optimization (SimPO), retrieval-augmented generation (InstructRAG), and zero-shot learning. He actively serves on program committees for top conferences (ICLR, ICML, NeurIPS) and as an action editor for Transactions of Machine Learning Research (TMLR) . He teaches graduate-level courses on NLP, emphasizing cutting-edge LLM topics like architecture design, instruction tuning, and ethical considerations. Key achievements include contributions to LLM alignment via retrieval optimization, efficient pretraining techniques, and foundational work on weakly supervised learning. His research bridges theory and practice, addressing both technical challenges and societal impacts of AI systems.

Vivek NallurView profile

Assistant Professor

• Machine Ethics
• Multi-Agent Systems
• Complex Systems
• +5 more

Dr. Vivek Nallur is an Assistant Professor in the School of Computer Science at University College Dublin. His research focuses on Machine Ethics, Multi-Agent Systems, emergence in socio-technical systems, and decentralized adaptation mechanisms. He holds a PhD from the University of Birmingham and advanced certifications in university teaching from UCD. Education: BBS, Delhi University Post-Graduate Diploma in Advanced Software Technology, National Centre for Software Technology MS, Carnegie Mellon University PhD, University of Birmingham Prof Cert University Teaching & Learning, University College Dublin Research Interests: Machine Ethics explores ethical decision-making in autonomous systems, while Multi-Agent Systems (MAS) are his primary tool for studying self-adaptation and emergence. He serves on key committees like IEEE P7008 (Ethically Driven Nudging) and the AAAI 2021 Spring Symposium on AI Ethics. His work bridges computer science with philosophy, law, and social sciences. Advising & Grants: Supervises three PhD students focusing on ethical AI, elder-care robotics, and AI governance. Leads the Machine Ethics Research Group and participates in the ML-Labs SFI grant (2019–2027). Professional Roles: Senior Member of IEEE, organizer for AAAI ethics symposia, and contributor to OpenAAL's ELSI panel. Teaches modules on Machine Learning, Operating Systems, and Web Development.

Jimmy HuangView profile

Professor

• Information Retrieval
• Artificial Intelligence
• Natural Language Processing
• +3 more

Jimmy Huang is a Full Professor and Tier 1 York Research Chair in Big Data Analytics at the School of Information Technology, York University. His research focuses on information retrieval, AI, NLP, and big data analytics in healthcare and web systems. He has published 360+ papers in top venues like SIGIR and ACL, and leads grants totaling $4M+. Huang chairs IEEE's Technical Community on Intelligent Informatics and serves on numerous conference committees. Education: PhD in Information Science (City, University of London), M.Eng and B.Eng in Computer Science Roles: Chair of IEEE TCII, General Chair of SIGIR 2020 and CIKM 2008 Research interests span task-oriented IR, conversational search, healthcare analytics, and graph-based models. His work on hypergraph collaborative filtering (SIGIR 2022) was named a top influential paper. Current projects include NSERC Discovery Grants ($384K) and ADERSIM CREATE ($1.65M). Award highlights include Fellowships from ACM, IEEE, and Canadian Academy of Engineering. Supervised over 90 students, currently mentoring 12 PhD/MSc candidates and 3 postdocs. Active in surgical safety checklist research and medical data analytics. Labs include the IRLab focused on IR and NLP innovations. Major grants include ORF-RE ($3.5M), NSERC CREATE, and multiple CRD partnerships with industry.

• Computational Sociology
• Gender Studies
• Social Movements
• +4 more

Laura K. Nelson is an Associate Professor of Sociology at the University of British Columbia , where she also directs the Centre for Computational Social Science . Her work bridges computational methods with sociological inquiry, focusing on gender inequality, social movements, and organizational dynamics. She previously held faculty roles at Northeastern University and affiliated with institutions like the NULab for Texts, Maps, and Networks and the Network Science Institute . Education: PhD in Sociology (2014), University of California, Berkeley MA in Sociology (2009), University of California, Berkeley BA in Sociology (2006), University of Wisconsin-Madison (Phi Beta Kappa) Research Interests span computational sociology, social movement strategy, intersectionality, and STEM equity. She pioneered frameworks like computational grounded theory and radical objectivity , integrating machine learning with qualitative paradigms. Recent publications analyze gender dynamics in emergency medicine, feminist movement histories, and the NSF ADVANCE program’s impact on equity. Her 2024 Social Science Quarterly paper quantifies ADVANCE’s interdisciplinary reach. Awards include the 2020 Best Meta-Reviewer at SocInfo20 and Outstanding Faculty of the Year at Northeastern University. She serves on editorial boards for American Journal of Sociology , Poetics , and Acta Sociologica . She co-PIs a National Science Foundation grant studying gender-equity dissemination in higher education networks and supervises graduate student Jinyang Yu . Her lab, Centre for Computational Social Science , drives open-source methodological innovation.

David JacobsView profile

Professor

• Computer Vision
• Machine Learning
• Deep Learning
• +3 more

David W. Jacobs is a Professor in the Department of Computer Science at the University of Maryland, with a joint appointment in the University of Maryland Institute for Advanced Computer Studies (UMIACS). He holds a Ph.D. from MIT (1992) and has expertise in computer vision, machine learning, and deep learning. His research focuses on object recognition, lighting analysis, and applications like electronic field guides (e.g., Leafsnap and Birdsnap). He has been recognized with awards including the Honda Initiation Grant (2007) and the Edward O. Wilson Biodiversity Technology Pioneer Award (2011). Jacobs has taught courses such as CMSC 422 (Machine Learning) and CMSC 828L (Deep Learning), and advised multiple Ph.D. students. His work spans theoretical advancements and practical applications, including collaborations with institutions like the Smithsonian and Columbia University. Education: B.A. Yale, M.S./Ph.D. MIT Positions: Interim Director of UMIACS (2018), Program Co-Chair CVPR Key Projects: Leafsnap (1M+ downloads), Birdsnap Awards: CVPR Best Paper Honorable Mention (2000), Eurographics Best Paper (2016)

• Artificial Intelligence in Healthcare
• Biomedical Engineering
• Traditional Chinese Medicine Informatics
• +3 more

Dr. Jing Wang is a Professor in the Department of Bioinformatics at Southern Medical University's School of Medicine, with extensive research at the intersection of artificial intelligence and biomedical applications. Her work demonstrates strong cross-disciplinary collaboration across medical institutions, engineering departments, and computer science research groups. Her primary research interests include Artificial Intelligence in Healthcare , Biomedical Engineering , and Traditional Chinese Medicine Informatics , with recent publications showing particular expertise in medical imaging analysis, diagnostic assistance systems, and clinical decision support. Her work spans both theoretical algorithm development and practical clinical implementations. Analysis of her 15 most recent publications (2025-2026) reveals a strong trend toward clinically applicable AI systems, with approximately 60% of publications focused on medical diagnostics and treatment support systems. The remaining publications demonstrate expertise in industrial applications of computer vision and fundamental AI research. Her work shows consistent collaboration with both domestic Chinese institutions and international research groups. Notable scientific contributions include: Development of 'Tianyi', a traditional Chinese medicine language model for clinical practice Innovations in bionic soft robotics for rehabilitation assistance Novel approaches to medical image analysis for cancer diagnostics Her research program appears well-funded with consistent publication output across high-impact journals in biomedical engineering, AI, and medical informatics. Current work suggests strong emphasis on translating AI research into clinical practice, particularly in diagnostic support systems and rehabilitation technology.

• Data Science
• Computational Social Science
• Misinformation
• +3 more

Meeyoung Cha is a Professor at KAIST and Scientific Director of the Max Planck Institute for Security and Privacy (MPI-SP) in Bochum, Germany. Her research focuses on Data Science for Humanity, encompassing computational social science, misinformation dynamics, and human-machine interaction. She holds a PhD in Computer Science from KAIST (2008) and previously served as Chief Investigator at the Institute for Basic Science and Visiting Professor at Facebook. Her work addresses societal challenges such as poverty mapping, fraud detection, and AI ethics. Key achievements include best paper awards and recognition like the Hong Jin-Ki Creator Award (2024) and Test-of-Time Awards (ACM IMC 2022, AAAI ICWSM 2020). Research interests span AI ethics, social media analysis, and interdisciplinary applications of machine learning. Notable projects include modeling climate risks via satellite imagery and analyzing chatbot interactions' societal impacts. She leads the MPI-SP's Data Science for Humanity Group, mentoring over 20 students across PhD and postdoc programs. Education: PhD in Computer Science (KAIST, 2008) Affiliations: MPI-SP (Germany), KAIST Key Awards: Hong Jin-Ki Creator Award, Korean Young Information Scientist Award, Test-of-Time Awards Her publications bridge computational methods with societal issues, including climate modeling, protein engineering, and algorithmic fairness. Current projects explore geospatial AI for economic development and ethical AI design frameworks.

Heather TaylorView profile

Assistant Professor

• Health services research
• Mental health
• Oral health disparities
• +2 more

Dr. Heather Taylor is an Assistant Professor in the Department of Health Policy and Management at Indiana University Fort Wayne, within the School of Public Health. She holds a PhD in Health Policy and Management from the Fairbanks School of Public Health and an MPH and RDH (Registered Dental Hygienist). Her career spans clinical practice as a dental hygienist, teaching at the Indiana University School of Dentistry, and community outreach through programs like SEAL Indiana, which provides preventive dental care to underserved children. Currently, her research focuses on oral health disparities, mental health, and the oral-systemic relationship, with a particular interest in improving access to dental care for low-income populations. Dr. Taylor’s educational background includes a PhD and MPH from Indiana University, complemented by a dental hygiene license and teaching experience in dental radiology. She has held a National Library of Medicine Fellowship in Population and Public Health Informatics (2017–2021). Her research portfolio includes over 14 peer-reviewed publications, addressing topics such as healthcare costs, social determinants of health, and the economic burden of untreated mental illness in Indiana. Her courses include PBHL-H325: Health Information Technology Management and Policy. She collaborates on projects exploring dental informatics, such as health information exchange during dental visits and the role of natural language processing in social work interventions. Her work bridges clinical practice, public health policy, and health informatics to address systemic inequities in healthcare access. Awards: National Library of Medicine Fellow (2017–2021) Grants/Projects: Ongoing work on economic burdens of mental illness in Indiana Her affiliations include Indiana University Fort Wayne and collaborations with state public health initiatives. She contributes to community outreach and policy advocacy for oral health equity.

Jeff MacSwanView profile

Professor

• Bilingualism
• Codeswitching
• Applied Linguistics
• +3 more

Jeff MacSwan is a Professor of Applied Linguistics and Language Education at the University of Maryland's College of Education, with affiliations in the Department of Linguistics and the Maryland Language Science Center. He also holds a joint appointment in Neuroscience and Cognitive Science. His research focuses on bilingualism, codeswitching, and their implications for educational policy, particularly for multilingual students. MacSwan has authored and edited seminal works, including Grammatical Theory and Bilingual Codeswitching and Codeswitching in the Classroom . He serves as editor of the International Multilingual Research Journal and has contributed to national committees such as the National Academies' study on Dual Language Learners. MacSwan received the 2021 AERA Lifetime Achievement Award and Leadership through Scholarship Award for his transformative work in bilingual education theory and practice. His advocacy challenges language-deficit perspectives, emphasizing translanguaging as a pedagogical asset. MacSwan's interdisciplinary approach bridges linguistics, education, and cognitive science. His lab addresses policy-relevant research on language assessment validity and equitable educational practices for linguistic minorities. He collaborates with institutions like the National Education Policy Center, advancing evidence-based policies for multilingual learners.

Pedro Sangro ColónView profile

Professor

• Film Theory
• Cinematic Montage
• Spanish Cinema History
• +5 more

Pedro Sangro Colón serves as both Vice-Rector of Research and Degrees and Titular Professor of Language and Audiovisual Narrative at the Pontifical University of Salamanca's Faculty of Communication since 2008. His academic home is firmly rooted in the Audiovisual Communication and Advertising department where he has established himself as a leading scholar in film theory and audiovisual narrative. Dr. Sangro Colón earned his doctorate from Universidad Complutense de Madrid with his thesis "El concepto de 'montaje cinematográfico': una revisión de su formulación teórica" (2000), supervised by Dr. Manuel Alonso Erausquin. His research interests span cinematic montage theory, Spanish cinema history (particularly during the Francoist period and democratic transition), audiovisual narrative structures, documentary film analysis, and the intersection of cinema with psychoanalysis. His work demonstrates a consistent focus on how film constructs meaning through editing techniques and narrative frameworks. An analysis of his 15 most recent publications reveals a scholarly trajectory deeply engaged with Spanish cinematic history and theoretical film studies. His work frequently examines how film represents historical memory, particularly regarding Spain's transition from dictatorship to democracy, with special attention to montage techniques as tools for constructing historical narratives. More recently, he has expanded his scope to include contemporary media phenomena like the Marvel Cinematic Universe, analyzing how superhero films represent national security apparatuses and historical trauma. His extensive publication record includes numerous books, articles, and book chapters, with notable works such as "Escenas de cine, Guión y análisis" (2017), "La estética televisiva en las series contemporáneas" (2018), and "El clasicismo en el cine Una mirada Intergeneracional" (2015). His research demonstrates both theoretical sophistication and practical application to screenwriting and television production. As Vice-Rector of Research and Degrees, Dr. Sangro Colón oversees academic programs and research initiatives at the university. His leadership role complements his scholarly work by providing institutional perspective on academic innovation and research management. His recent publication "Introducción: la innovación en la Universidad Pontificia de Salamanca" (2021) reflects his engagement with contemporary challenges in higher education. His academic collaborations are extensive, with frequent co-authorship with colleagues like Juan Medina-Contreras and Miguel Ángel Huerta. His work appears in both Spanish and international journals, demonstrating his ability to engage with global film scholarship while maintaining a strong focus on Spanish and Latin American cinematic traditions.

Melanie CookeView profile

Senior Lecturer

• Adult ESOL
• Migrant language education
• Language and citizenship
• +7 more

Dr Melanie Cooke is a Senior Lecturer in ESOL and Applied Linguistics at King's College London, working within the School of Education, Communication and Society and the Centre for Language, Discourse and Communication. She has been with King's since 2003, following prior teaching experience teaching EFL in Spain and ESOL to adult migrants in London. Cooke serves as convenor of the Hub for Education and Language Diversity (HELD), a collaboration between the Centre for LDC and English for Action, and co-organized the ESRC-funded 'Queering ESOL' seminar series. Her research focuses on teaching and learning in adult ESOL classrooms in the UK, particularly examining the social and political contexts of migrant language education. Cooke's work explores linguistic citizenship, participatory pedagogy in ESOL, and the relationship between language education and citizenship policies. She has made significant contributions to understanding how language is used as a political tool in immigration policy and integration debates. Her recent publications demonstrate a consistent focus on linguistic citizenship, with major works including 'Localising linguistic citizenship in England' (2024), 'Working papers for a more open academy' (2023), and 'Brokering Britain, Educating Citizens' (2019) with Rob Peutrell. These works explore the intersection of language education, migration policy, and citizenship frameworks. Elsevier Outstanding PhD Thesis Prize for Exceptional Doctoral Work (2016) Cooke teaches across multiple programs including BA English Language & Linguistics, MA Applied Linguistics and ELT, MA Language and Cultural Diversity, and MA TESOL. Her courses cover sociolinguistics, qualitative research methods, language and migration, and communicative language teaching. She also actively supervises PhD students in areas related to ESOL teaching and learning, language and citizenship, and language and migration. Notably, Cooke maintains active engagement with ESOL practice, regularly teaching in an ESOL class in East London that uses the participatory ESOL approach, creating a valuable connection between her research and practice.

Seokjun YounView profile

Assistant Professor

• Healthcare Operations Management
• Service and Retail Operations
• Health IT Management
• +9 more

Seokjun Youn is an Assistant Professor in the Department of Management Information Systems at the Eller College of Management, University of Arizona . His research focuses on improving healthcare delivery systems through technological innovations and operational strategies, with additional expertise in supply chain logistics and platform business models. Education: PhD in Operations and Supply Chain Management from Texas A&M University; MS and BS in Industrial Engineering from Texas A&M University and Seoul National University, respectively. Research Areas: Healthcare operational efficiency, patient flow, health IT, human-AI collaboration, and supply chain management. Scientific Awards: DSI Best Theory-Driven Empirical Research Paper Award (2024) CMIH Grant (2020, 2021, 2023, 2024, 2025) POMS Emerging Scholars Program (2021, 2023) Professional Service: Editorial board member for Production and Operations Management and Decision Sciences journals; track chair for conferences like CHITA and DSI. His work combines econometric methods and optimization techniques to address challenges in healthcare systems, with findings published in top journals including Manufacturing & Service Operations Management and Journal of Operations Management .