جست‌وجوی استاد و پژوهشگر

Irwin Epsteinمشاهده پروفایل

استاد

• Practice-Based Research
• Clinical Data-Mining (CDM)
• Social Work Professionalization
• +۴ مورد دیگر

Irwin Epstein is a retired Professor and former Helen Rehr Chair in Applied Social Work Research (Health & Mental Health) at Hunter College School of Social Work, part of the City University of New York (CUNY). He held adjunct roles at Mount Sinai Medical Center’s Community Medicine Department and contributed to international programs like the International Enhancement of Leadership. His career spanned 50 years, including 13 years at the University of Michigan and sabbaticals at institutions such as Howard University and the University of Warwick. He specialized in practice-research integration, notably pioneering Clinical Data-Mining (CDM) to bridge clinical practice and academic research. Epstein’s research interests focused on transforming practitioners into researcher-practitioners through CDM, program evaluation, and clinical data systems. He authored/co-authored seminal works on CDM methodology, including books published by Oxford University Press and University of Sydney Press. His work earned accolades like the Miegunyah Distinguished Visiting Professor Award, the first social worker to receive it. He advised doctoral students at CUNY’s Graduate Center and mentored professionals globally through workshops in Australia, Finland, and other countries. His contributions to social work education and research continue to influence practitioner-research integration in healthcare and social services.

Kourosh Davoudiمشاهده پروفایل

دانشیار

• Natural Language Processing
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Kourosh Davoudi is an Associate Professor of Computer Science at Ontario Tech University's Faculty of Science. He holds a PhD in Computer Science from York University with a focus on Machine Learning and Data Mining. Prior to joining Ontario Tech in 2019, he was a postdoctoral research fellow at the University of Waterloo's Department of Management Sciences. His research interests span Natural Language Processing, Deep Learning, Reinforcement Learning, Graph Mining, and Machine Learning. He actively supervises graduate students in these areas and teaches courses such as Data Mining and Artificial Intelligence. His research emphasizes practical applications of AI techniques in areas like outbreak detection, sentiment analysis, and automated grading systems. Recent work includes innovations in neural document segmentation, vision-language models, and hybrid outbreak detection using social media data. His publications consistently address challenges in algorithm design, explainable AI, and domain-specific NLP applications. Dr. Davoudi has contributed to conferences such as COLING, EMNLP, and IEEE transactions, focusing on interdisciplinary applications of machine learning. His work bridges theoretical advancements with real-world problems in healthcare, education, and social media analysis.

Gerardo L. Blancoمشاهده پروفایل

دانشیار

• Educational Leadership & Policy
• Comparative & International Education
• Quality Assurance in Higher Education
• +۳ مورد دیگر

Gerardo L. Blanco is an Associate Professor at Boston College's Lynch School of Education and Academic Director of the Center for International Higher Education (CIHE). His research explores intersections of quality assurance, internationalization, and social justice in higher education, with a focus on accreditation, rankings, and institutional identity construction. Education: Ed.D. in Education (University of Massachusetts Amherst), M.Ed. (University of Maine), B.A. (Universidad de las Américas, Puebla, Mexico) Blanco's work challenges neoliberal and colonial assumptions in global higher education metrics. He examines how institutions communicate quality through digital platforms and advocates for localized, inclusive frameworks over Northern-dominated paradigms. His scholarship spans critical analyses of accreditation practices, internationalization strategies, and equity implications of US policy on refugee and international students. Recent publications highlight trends in global quality assurance, decolonial readings of rankings, and critical visual methodologies. His research scrutinizes the paradoxes of internationalization, including power asymmetries in mobility programs and the commodification of educational experiences. Key Awards: Best Research Article (CIES, 2017) Fulbright Specialist Appointment (2020) Best Dissertation Honorable Mention (CIES, 2014) New Scholars Fellowship (CIES, 2012) Blanco leads editorial roles in top journals and collaborates on grants addressing internationalization challenges, including post-COVID mobility and global student housing equity. His work emphasizes cosmopolitanism, intergroup dialogue, and institutional transformation for social justice.

Alexander J. Stewartمشاهده پروفایل

دانشیار

• Mathematical Biology
• Computational Social Science
• Cultural Evolution
• +۷ مورد دیگر

Alexander J. Stewart is an Associate Professor of Informatics at Indiana University Bloomington and an Honorary Professor of Mathematics at the University of St Andrews. He holds a PhD in Mathematical Biology from University College London (2010), and earlier degrees in Physics (Imperial College London) and Mathematical Biology (University College London). His research focuses on mathematical and computational models of social learning in online ecosystems, addressing topics such as misinformation, polarization, and cooperative behavior through lenses of game theory and evolutionary dynamics. Key themes include cultural evolution's interaction with algorithms, social network structures' impact on collective decisions, and cognitive mechanisms shaping social interactions. His work has been published in high-impact journals like Nature , PNAS , and Science Advances , addressing topics ranging from information gerrymandering to the evolution of stereotyping. He leads projects funded by the John Templeton Foundation, exploring cultural evolution and online social contracts. Advising over 7 graduate students and postdocs, he has mentored researchers now in academic and industry roles globally. His teaching includes advanced courses on game theory and social media dynamics. Media contributions include analyses on polarization's societal impacts and the dangers of algorithmic misinformation. Current research initiatives include modeling behavioral motivations for cooperation and investigating eco-evolutionary trade-offs in pathogen competition. His labs focus on interdisciplinary approaches to understanding complex social and biological systems.

Nianwen Xueمشاهده پروفایل

استاد

• Machine Learning
• Natural Language Processing
• Chinese language processing
• +۴ مورد دیگر

Nianwen Xue is a Professor in the Computer Science Department and Language & Linguistics Program at Brandeis University, leading the Chinese Language Processing Group. He holds affiliations with the Michtom School of Computer Science, Benjamin and Mae Volen National Center for Complex Systems, and serves on editorial boards of Computational Linguistics and Lingua Sinica. His research focuses on computational linguistics, machine learning, and cross-linguistic meaning representations. He previously held roles at the University of Colorado and University of Pennsylvania. Education: Ph.D. in Linguistics from University of Delaware, M.A. and B.A. in Linguistics from Nankai University. Research projects include the Chinese Treebank, OntoNotes, and initiatives funded by NSF, DARPA, and IARPA. Teaching includes courses on Natural Language Systems and Computational Corpus Linguistics. He has organized major NLP conferences like CoNLL Shared Tasks and DMR workshops. Research interests emphasize semantic parsing, discourse analysis, and computational social science, with over 100 publications in top venues like ACL, EMNLP, and Computational Linguistics. His work bridges theoretical linguistics and applied NLP, advancing cross-lingual resources and formal meaning representations.

Arturo Vargas Bustamanteمشاهده پروفایل

دانشیار

• Health Policy
• Health Services Research
• Public Health
• +۱۳ مورد دیگر

Arturo Vargas Bustamante is an Associate Professor in the Department of Health Policy and Management at the UCLA Fielding School of Public Health. He specializes in health policy, health services research, and public health, with a focus on addressing disparities in healthcare access and utilization among Latino/Hispanic and immigrant populations in the United States. His work also extends to comparative analyses of health care delivery systems in Latin American countries. PhD in Public Policy (2008), MA in Economics (2006), and MPP (2004) from UC Berkeley Research expertise: healthcare cost estimation, program evaluation, economic valuation, and survey research His research explores the intersection of socioeconomic and demographic factors with health system variables like insurance status and usual source of care. Key areas include telehealth equity, Medicaid policy, cross-border health insurance initiatives (e.g., Salud Migrante), and the impact of legislation such as the Affordable Care Act on immigrant communities. He has published extensively in journals like Health Affairs , Health Services Research , and American Journal of Preventive Medicine . Recent trends in his publications emphasize telehealth disparities during the pandemic, immigrant health equity post-Medicaid expansion, and cross-border healthcare challenges. His work frequently combines health economics with policy analysis, often addressing marginalized populations in the U.S. and Latin America. Professor Vargas Bustamante teaches graduate courses in healthcare organization and financing, vulnerable populations, and health services research. He has consulted for the Inter-American Development Bank and the Mexican Ministry of Health, integrating practical insights into his academic work.

• Policing
• Private Security
• Security Governance
• +۴ مورد دیگر

Dr. Adam Aitken is a Lecturer at the School of Health and Society, University of Salford, Manchester, UK. His career spans over a decade in criminology and security studies, with prior roles as a Criminology Lecturer at De Montfort University (2017-2021) and Assistant Lecturer at the University of Glasgow (2013-2017). Education: Postgraduate Certificate in Academic Practice (2023-2024), University of Salford PhD in Criminology (2013-2017), University of Glasgow MSc in Applied Social Research in Criminology (2011-2012), University of Stirling BSc (Hons) in Criminological Studies (2004-2008), Abertay University Research Interests: Adam's work focuses on security governance , police legitimacy , private security dynamics , and community resilience , particularly in contexts like sporting mega-events and environmental disasters. His current BA/Leverhulme-funded project examines placemaking and rural resilience to UK flooding. Publication Trends: His recent articles (2024-2025) address digital policing, community resilience, and semiotic approaches to security signals. Earlier works analyze mega-event security, democratic governance, and environmental harms. Scientific Awards: Shortlisted 2nd Place (2015) for poster on mega-event policing at SIPR Postgraduate Student Symposium PhD Supervision: Adam has supervised PhD completions (Michael Mathura, 2020) and is primary supervisor for Brian Roberts' ongoing work on AI in UK policing. He contributes to the Centre for Research on Inclusive Society and aligns with UN SDGs for health, urban sustainability, and climate action.

M. Hadi Aminiمشاهده پروفایل

استادیار

• Distributed Machine Learning
• Federated Learning
• Interdependent Networks
• +۷ مورد دیگر

M. Hadi Amini is an Assistant Professor at Florida International University's Knight Foundation School of Computing and Information Sciences. He founded and directs the Sustainability, Optimization, and Learning for InterDependent networks (SOLID) laboratory, focusing on cyber-physical-social systems and distributed AI applications. Ph.D., Electrical and Computer Engineering (2019), Carnegie Mellon University M.Sc., Electrical and Computer Engineering (2015), Carnegie Mellon University M.Sc. (2013), Tarbiat Modares University B.Sc. (2011), Sharif University of Technology His research spans federated learning, interdependent network optimization, and AI applications in smart cities , energy systems , and healthcare . Recent work emphasizes privacy-preserving techniques, quantum encryption, and blockchain integration for secure distributed learning. The 15 most recent publications highlight trends in large language models , edge computing , medical imaging security , and infrastructure resilience , with interdisciplinary emphasis across computer science, systems engineering, and urban planning. Best Paper Award, IEEE Conference on Computational Science & Computational Intelligence (2019) Best Journal Paper Award, Springer Nature Operations Research Forum (2021) Excellence in Teaching Award, FIU (2020) Multiple Best Reviewer Awards, IEEE Transactions NSF Travel Awards (2019) As Associate Editor for Frontiers in Communications and Networks and book series editor for Sustainable Interdependent Networks , he actively shapes research discourse. His lab has secured $3.6M in federal/state funding for AI-driven infrastructure projects.

Daniel Harrisonمشاهده پروفایل

استادیار

• Human-Computer Interaction (HCI)
• Digital Health
• Inclusive Technology Design
• +۳ مورد دیگر

Dr. Daniel Harrison is an Assistant Professor in the School of Design, Arts, and Creative Industries at Northumbria University, where he serves as EDI and Athena SWAN Co-Lead and leads the HCI+Design Research Group. His academic journey includes a PhD from UCL's Interaction Centre (UCLIC) and research at Georgia Institute of Technology and Microsoft Research Cambridge. His work focuses on Human-Computer Interaction (HCI), digital health, and inclusive technology design, particularly in sports and wellbeing. Education: PhD in Human-Computer Interaction, UCL Interaction Centre (2020) MSc (2012), BSc (Hons) (2010) Research Interests: Intersection of technology, inclusivity, and sports (SportsHCI) Participatory methods (co-design, ethnography) Developing inclusive technologies for underrepresented groups Recent Projects: Co-authored Grand Challenges in SportsHCI Initiatives for inclusive sports technology Design of wellbeing-focused digital tools Advising: Mentors three PhD students researching topics such as neurodivergent workers, financial technology for international students, and gamified sports participation. Labs/Teams: HCI+Design Research Group at Northumbria University.

• Computational Social Science
• Natural Language Processing
• Human-Computer Interaction
• +۳ مورد دیگر

Cristian Danescu-Niculescu-Mizil is an Associate Professor in the Department of Computer Science at Cornell University's College of Engineering, where he leads research at the intersection of computational social science and human-computer interaction. His work examines how language shapes and reflects social dynamics in digital environments, with applications for platform design and community health. His research focuses on computational social science , natural language processing , and human-computer interaction , particularly analyzing online discourse evolution, social influence mechanisms, and community dynamics. Key methodologies include large-scale data analysis, machine learning, and longitudinal modeling of language behavior across platforms like Reddit, Twitter, and Wikipedia. Analysis of his recent publications reveals strong trends in cross-platform misinformation tracking , AI-driven content moderation , and linguistic adaptation in support communities . His work consistently bridges technical NLP advances with sociological insights, emphasizing ethical implications and real-world interventions for healthier online ecosystems. Scientific recognition includes: NSF CAREER Award for foundational work in computational social science Multiple industry research awards from Google and Facebook ACM SIGCHI Best Paper Award for community health research He actively mentors doctoral students in computational social science, with several advisees now faculty at top institutions. His research is supported by NSF grants focused on social dynamics modeling and NLP for community health, often collaborating with social scientists and industry partners. Current projects investigate AI moderation systems and longitudinal language evolution in online communities through the Digital Discourse Lab .

Lenka Benovaمشاهده پروفایل

پژوهشگر

• Public Health
• Maternal Health
• Health-seeking Behavior
• +۴ مورد دیگر

Lenka Benova is a Researcher at the Institute of Tropical Medicine, Antwerp , where she serves as Unit Head in Reproductive and Maternal Health. She is a quantitative population health scientist with interdisciplinary training in management, economics, Middle East studies, demography, and epidemiology . Her career includes project coordination with Médecins Sans Frontières in Nigeria, West Bank, and South Sudan, as well as leading health pillar design in Egypt's conditional cash transfer program (2008-2010). Education: MA in Middle East studies (American University in Cairo) MSc in Demography and Health (London School of Hygiene & Tropical Medicine) PhD in Population Health (London School of Hygiene & Tropical Medicine) Her research focuses on health-seeking behavior in low- and middle-income countries, particularly reproductive/maternal health , with methodological interests in innovative data capture, self-reported indicator validity, and geospatial modeling . Her recent work examines maternal healthcare provision discontinuities in urban Sub-Saharan Africa through system dynamics and geospatial approaches. She teaches on Masters course modules and supervises PhD students , contributing to projects like: modeling maternal care accessibility in Guinea, analyzing fertility transitions in DR Congo, and evaluating hospital data utility for community epidemiology. Her research appears in journals such as Bioinformatics , BMC Pregnancy and Childbirth , and Scientific Reports , focusing on public health, maternal care, and health equity.

• Artificial Intelligence
• Cybersecurity
• Machine Learning
• +۷ مورد دیگر

Vahid Behzadan is an Assistant Professor in Data Science and Computer Science at the University of New Haven's Tagliatela College of Engineering. He leads the SAIL Lab, focusing on AI safety and security, particularly in autonomous systems like driverless cars and smart cities. His work addresses adversarial attacks on machine learning and reinforcement learning, with applications in cybersecurity and healthcare. Behzadan has held prior positions at Kansas State University, University of Nevada Reno, and University of Birmingham, UK. He holds a Ph.D. in Computer Science and an M.S. from the University of Nevada Reno, and a B.Eng. from the University of Birmingham. His research spans AI ethics, cybersecurity, and complex systems. Behzadan advises the UNH hacking team and actively participates in policy initiatives, including Connecticut's AI Working Group and the Connecticut AI Alliance. He has contributed to over 30 peer-reviewed articles and frequently engages in media discussions on topics like AI safety, facial recognition, and cybersecurity threats. Key research areas include adversarial machine learning, AI forensics, and ethical AI design. His work bridges theoretical advancements with real-world applications in transportation, healthcare, and national security. Behzadan collaborates with organizations such as the Transportation Research Laboratory (TRL) and Open Web Application Security Project (OWASP).

Alexandra Kirschمشاهده پروفایل

استادیار

• Artificial Intelligence
• Robotics
• Human-Robot Interaction
• +۳ مورد دیگر

Alexandra Kirsch is an Assistant Professor in the Media Informatics Department at the University of Tübingen's Faculty of Informatics. She held the Carl von Linde Junior Fellowship at the Technical University of Munich (TUM) Institute for Advanced Study (TUM-IAS) from 2010. Previously, she was a senior research scientist at TUM's Intelligent Autonomous Systems Group and led the independent Junior Research Group “Planning for Adaptive Robot Assistance” within the Excellence Cluster CoTeSys (Cognition for Technical Systems). Education: Diploma in Computer Science from TUM, 2003 Doctoral degree from TUM, completed between 2003-2007 Research Interests: Kirsch focuses on developing control mechanisms for autonomous robots using artificial intelligence, aiming to create systems that collaborate closely and transparently with humans. Her work emphasizes models of world dynamics, robot action effects, and human behavior. She created the Robot Learning Language (RoLL) to automate model acquisition and update processes during robot operations. Collaborations with psychologists and neuroscientists explore joint human-robot planning tasks and model development for seamless interaction. Scientific Awards: Member of the Bayerische Akademie der Wissenschaften Förderkolleg (2012) Award by Comet Computer GmbH for excellent graduation results (2003) Advising & Grants: Managed interdisciplinary research projects during her junior fellowship at TUM. Previously worked as a management consultant at Booz & Co., 2007-2008. Her grants include the Carl von Linde Fellowship and support for the Junior Research Group. Labs/Teams: Active in the Planning for Adaptive Robot Assistance group (CoTeSys) and collaborates with the Cognitive Technology focus group at TUM-IAS. Engages in cross-disciplinary teams involving neuroscience and psychology for human-robot interaction studies.

• Complex Systems Modeling
• Computational Mathematics
• Applied Mathematics
• +۷ مورد دیگر

Yannis Kevrekidis is a Professor at Princeton University with a distinguished career in computational mathematics and chemical engineering. He is currently a Hans Fischer Senior Fellow at the Technical University of Munich (TUM-IAS) and has held visiting positions at institutions like the Zuse Institute Berlin and Caltech. Education : National Technical University of Athens (Chemical Engineering) University of Minnesota (PhD in dynamical systems) Research Interests : Equation-Free and Variable-Free Modeling Complex Systems Dynamics Multiscale Computation Integration of Machine Learning with Scientific Computing Pattern Formation & Instability Analysis Key Article Trends : Advanced data-driven modeling of dynamical systems Manifold learning for reaction coordinates Projective integration methods Coarse-grained modeling across disciplines Applications in epidemiology, neuroscience, and fluid dynamics Scientific Awards : Guggenheim Fellowship Humboldt Research Award Computing in Chemical Engineering Award (AIChE) Bodossaki Academic Award Allan P. Colburn Award Collaborations : Extensive international collaborations with institutions in Germany, Austria, and the UK Key role in the Complex Systems Modeling and Computation focus group at TUM-IAS

• Biometrics
• Computer Vision
• Machine Learning
• +۴ مورد دیگر

Marina L. Gavrilova is a Professor at the University of Calgary, Canada. Her research focuses on biometric systems, computer vision, and machine learning with an emphasis on multimodal recognition and security applications. She has authored numerous publications in top journals and conferences, contributing to advancements in fields like emotion-aware de-identification, generative adversarial networks, and ethical AI frameworks in healthcare. Her work spans social behavioral biometrics, gait recognition, masked face recognition, and aesthetic-based person identification. Key contributions include frameworks for ethical AI in care systems, fusion algorithms for multi-biometric systems, and innovations in visual and audio signal processing. Collaborations with experts like Osvaldo Gervasi, Jon G. Rokne, and Padma Polash Paul highlight her interdisciplinary approach. Publications emphasize practical applications such as privacy-preserved biometrics, emotion detection from social media, and adaptive systems for template aging. Despite no explicit mention of grants or labs, her extensive co-author network and frequent citations indicate significant academic influence.