جستجوی استاد راهنمای دانشگاهی

Anastasia A Vishnevskayaمشاهده پروفایل

استادیار

• Global & International Public Relations
• Social Media
• Political Communication
• +۲ مورد دیگر

Dr. Anastasia A Vishnevskaya serves as Assistant Professor in the Department of Public Relations & Strategic Communication Management at Texas Tech University's College of Media & Communication, where her research examines media narratives' impact on public perceptions of marginalized communities through global and international public relations, social media, political communication, and intercultural frameworks. Her academic credentials include: Ph.D. from Washington State University M.S. from Washington State University M.A. from University of Wyoming Dr. Vishnevskaya's interdisciplinary research investigates how media primes shape attitudes toward Muslim women, influence vaccine intentions during pandemics, and affect opinions about international events like the Beijing Olympics. She employs mixed-method approaches to analyze conspiracy theory dissemination, refugee crisis framing, and the interplay between statistical versus narrative health messaging, consistently addressing media representation of vulnerable populations. Her 2021-2023 publications reveal concentrated expertise in health communication (vaccine hesitancy, pandemic responses), international event coverage (Olympics, Rohingya crisis), and digital misinformation (QAnon, 5G conspiracies), appearing in premier outlets including New Media & Society and International Communication Gazette while co-authoring a book on Muslim women stereotypes. Key recognitions encompass: 2023 Harriett B. Rigas Award for Outstanding Doctoral Student (Washington State University) 2022 Award of Excellence for Graduate Student Instruction (Washington State University) 2017 Outstanding Student Service Award (University of Wyoming) While Dr. Vishnevskaya teaches International & Multicultural Public Relations and Public Relations Strategies, available documentation contains no specifics regarding graduate student advising or externally funded research grants.

Rocco OLIVETOمشاهده پروفایل

استاد

• Software Engineering
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Prof. Rocco OLIVETO is a Full Professor at the University of Molise, affiliated with the School of Biosciences and Territory. His research spans software engineering, artificial intelligence, cybersecurity, and healthcare technology. He focuses on empirical studies of developer practices, AI-driven code analysis, vulnerability detection in smart contracts, and human-centric computing. His work also addresses challenges in game development, mobile app optimization, and wearable health monitoring systems. Notable research areas include code readability assessment, machine learning applications in healthcare diagnostics, and the effectiveness of AI tools like GitHub Copilot. He has contributed to projects like QualAI (continuous quality improvement for AI systems) and 2Vita-B (cognitive and physical rehabilitation systems). His empirical studies often bridge academic research with real-world developer workflows, emphasizing practical applicability. Prof. Oliveto's recent work explores topics such as automated gameplay analysis for game debugging, detection of engagement issues in video games, and robust methods for identifying security vulnerabilities. He has also investigated Dockerfile quality, developer frustration metrics, and the ethical implications of AI in administrative document simplification.

• Gender studies
• History
• Law
• +۳ مورد دیگر

Helga Baitenmann serves as a CLACS Associate Fellow at the Centre for Latin American and Caribbean Studies within the Institute of Languages, Cultures and Societies at the School of Advanced Study, University of London. Her active fellowship term spans from July 2021 to June 2026, during which she conducts research on gender violence in Mexico from a historical perspective. Her research centers on gender studies, history, and law with specialized focus on agrarian reform, gender violence, and indigenous women's rights in Latin America. She examines historical land disentailment processes, revolutionary justice systems, and contemporary legal frameworks in Mexico, bridging gender analysis with socio-legal history across nineteenth-century and revolutionary periods. Her recent scholarly output demonstrates consistent thematic focus: the 2023 book chapter provides the first gendered analysis of nineteenth-century land disentailment in Mexico; the 2020 monograph investigates agrarian reform through judicial interactions in revolutionary Mexico; and the 2007 co-edited volume analyzes gender dynamics in contemporary Mexican law. Collectively, these works establish her expertise in historical gender justice, land rights, and legal anthropology within Latin American contexts. No scientific awards were documented in the provided text. Information regarding student advising, research grants, laboratory affiliations, or team leadership was not specified in the source material.

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.

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.

Carlos Spoerhaseمشاهده پروفایل

استاد

• Sociology of literature in the global literary field
• Literary theory and general criticism
• Relationship between aesthetics and social theory
• +۴ مورد دیگر

Prof. Dr. Carlos Spoerhase is a leading academic in Modern German Literature, currently holding the Chair of Modern German Literature at the Ludwig Maximilian University of Munich . His research spans literary theory, sociology of literature, and historical methods, focusing on the intersection of aesthetics and social theory. PhD in Modern German Literature (2006, Humboldt University of Berlin) Habilitation in Modern German Literature (2016, Humboldt University of Berlin) Academic guest stays at Princeton, Cologne, and Stanford His research explores scaling phenomena in aesthetics , the social dimensions of literary practices , and the history of philological methods . Recent projects include analyses of the Nobel Prize's role in global literary evaluation and the cultural implications of text compression. Notable awards include the Feodor Lynen Research Fellowship (2014) and Honorary Lifetime Membership at the Goethe Society of North America (2021). He co-edits Deutsche Vierteljahrsschrift für Literaturwissenschaft und Geistesgeschichte and serves on editorial boards for journals like The German Quarterly .

Christian Waughمشاهده پروفایل

استاد

• Emotion Regulation
• Stress and Coping
• Resilience
• +۴ مورد دیگر

Christian Waugh serves as Professor of Psychology at Wake Forest University, based in Greene Hall 445 with contact email waughce@wfu.edu. He directs the Emotion and Motivation Lab (eMolab), as evidenced by his active research website https://emolab.psych.wfu.edu , and teaches courses within the Department of Psychology. His research centers on emotion regulation mechanisms, particularly cognitive reappraisal strategies, stress reactivity, and resilience across the lifespan. Key investigations examine how individuals maintain emotional states during stressors, the neural underpinnings of positive emotion's buffering effects, and age-related differences in recovery from adversity. His work integrates psychological, biological, and social perspectives to understand affective processing dynamics, with significant focus on temporal aspects of emotional experience and coping. Analysis of his 2023-2025 publications reveals dominant themes in reappraisal implementation phases, affective working memory, and pandemic-related stress adaptation. His methodological approach combines fMRI, physiological monitoring, ecological momentary assessment, and computational modeling to explore how positive emotions facilitate stress resilience. Notable patterns include the temporal anchoring of regulatory strategies and the differential impacts of distraction versus avoidance coping. Scientific awards: No awards were documented in the source material. Regarding academic advising and research funding, the source text provides no specific details about graduate students, grants, or sponsored projects. However, his active laboratory and extensive publication record suggest ongoing mentorship and research support activities typical of senior faculty. Waugh leads the Emotion and Motivation Lab (eMolab), which investigates neural and psychological mechanisms of emotion regulation through multiple experimental paradigms. Current research examines stressor reactivity in aging populations, virtual reality mood induction techniques, and computational models of resilience, with strong emphasis on translating findings to real-world coping applications.

Leyla Pérez-Gualdrónمشاهده پروفایل

دانشیار

• Social Justice
• Transformational Resistance
• Civic Engagement
• +۳ مورد دیگر

Dr. Leyla Pérez-Gualdrón serves as an Associate Professor in the Department of Counseling Psychology at the University of San Francisco, where she maintains full-time faculty status. Her clinical background spans diverse settings including K-12 inner-city schools in Venezuela and community mental health centers in the United States, with specialized focus on immigrant and minority youth populations. Her educational foundation includes: PhD in Counseling Psychology from Boston College MA in Counseling Psychology from Boston College Licensure in Psychology from Universidad Católica Andrés Bello, Caracas, Venezuela Research centers on social justice frameworks , transformational resistance , and civic/educational engagement among urban youth , with significant contributions to multicultural counseling. She has developed evidence-based group interventions including CASA groups for acculturation stress in immigrant children, Tools For Tomorrow career programs for 9th graders, and Jernigan Sankofa racial identity development groups for African American and Latina girls. Her work consistently addresses sociocultural determinants of mental health and educational outcomes through community-engaged approaches. Analysis of her publication record (2006-2010) reveals sustained investigation into urban adolescents' experiences with race, ethnicity, and educational systems. Key patterns include examination of structural barriers to opportunity, development of culturally responsive interventions, and exploration of identity formation processes. The research portfolio demonstrates methodological diversity across qualitative and quantitative approaches while maintaining focus on Latino and other marginalized youth populations in educational contexts. No specific scientific awards were documented in the provided materials. Professional activities include clinical service at Cambridge Health Alliance/Harvard Medical School and development of school-based interventions, though details about current student advising or grant funding were not specified in available sources. No information was provided regarding dedicated research laboratories or specialized teams.

Abbas Heydarnooriمشاهده پروفایل

استادیار

• Software Engineering
• Artificial Intelligence for Software Engineering (AI4SE)
• Software Analytics
• +۵ مورد دیگر

Abbas Heydarnoori is an Assistant Professor in the Department of Computer Science at Bowling Green State University (USA) since 2022, and previously held a faculty position at Sharif University of Technology (Iran) from 2012 to 2022. He earned his Ph.D. in Computer Science from the University of Waterloo (Canada, 2009), and M.Sc. and B.Sc. in Software Engineering from Sharif University of Technology (2001 and 1999). His research focuses on AI-driven software engineering (AI4SE/SE4AI), leveraging data science and AI to address challenges like fault localization, bug prediction, and code comprehension. He analyzes software repositories (e.g., GitHub, Stack Overflow) to improve developer productivity and software quality. He has contributed to tools like CrowdSummarizer and ExceptionTracer, and his work spans topics such as microservices architecture, API usage analysis, and code summarization. Teaching includes graduate/undergraduate courses on AI for Software Engineering, Database Systems, and Software Engineering. His service roles include editorial board membership at Science of Computer Programming , and PC membership in conferences like MSR, SANER, and FSE. His research group actively publishes on automated code analysis, documentation generation, and developer productivity tools, with a focus on empirical and data-driven approaches.

• 5G/6G Networking
• Network Slicing
• Intent-Based Networking
• +۵ مورد دیگر

Adlen Ksentini is a Professor at EURECOM, a leading graduate school and research center in Sophia Antipolis, France, specializing in digital science and communication systems. His extensive research focuses on next-generation mobile networks (5G/6G), network management, and the integration of artificial intelligence with telecommunications infrastructure. Dr. Ksentini actively contributes to major EU research initiatives including 6G-BRICKS and AC3, serving as a key researcher and project leader in the development of future network architectures. Dr. Ksentini's research interests center around network slicing, intent-based networking, edge computing, and the application of machine learning to network management problems. His work bridges theoretical advancements with practical implementations in 5G/6G systems, with particular emphasis on zero-touch network management, energy efficiency optimization, quality of service assurance, and the integration of large language models with network operations. His research has significantly contributed to the development of O-RAN (Open Radio Access Network) frameworks and the evolution of network automation. His recent publication trends reveal a strategic shift toward AI-native network architectures, with increasing focus on integrating large language models (LLMs) with network management systems. His work demonstrates a clear progression from traditional network management approaches to more autonomous, AI-powered systems capable of intent-based configuration, self-optimization, and predictive maintenance. The publications show strong emphasis on practical implementations within the 6G research ecosystem, addressing critical challenges in network slicing, resource allocation, and energy efficiency. As a research supervisor, Dr. Ksentini mentors several PhD students including Abdelkader Mekrache, Karim Boutiba, Bouziane Brik, and Houda Hafi, who frequently appear as co-authors on his publications. His research is primarily funded through major EU research projects such as 6G-BRICKS (Building Reusable Testbed Infrastructures for Cloud-to-Device Breakthrough Technologies) and AC3 (which focuses on Cloud Edge Continuum). Dr. Ksentini is actively involved with the 6G-BRICKS project consortium and the AC3 project team, where he contributes to developing next-generation network architectures that integrate communication, computing, and sensing capabilities. His work within these projects focuses on creating reusable testbed infrastructures and addressing security and trust management challenges in the cloud-edge continuum.

• Machine Learning
• Bioinformatics
• Medical Imaging
• +۵ مورد دیگر

Paul J. Kennedy is a Professor at the University of Technology Sydney's Centre for Artificial Intelligence. He holds a PhD from the same institution (1999). His research focuses on machine learning applications in healthcare, bioinformatics, medical imaging, and data mining. Key areas include developing algorithms for genomic data analysis, healthcare pathway modeling, and edge-cloud frameworks for omics data. Education: PhD in Artificial Intelligence (1999, UTS). Research interests span machine learning, health informatics, and data compression. Notable work includes studies on administrative health records, lung nodule detection, and virtual reality-based cancer cohort analysis. He has co-authored over 100 publications across journals like BMC Bioinformatics, IEEE Transactions, and Artificial Intelligence in Medicine. Advising: Collaborates extensively with students/researchers but no explicit student list provided. Grants and labs: Active in interdisciplinary projects involving medical and computational teams, though specific grants are not detailed here.

Alva L. Couchمشاهده پروفایل

دانشیار

• Network and System Management
• Geo-informatics
• Data Management
• +۹ مورد دیگر

Alva L. Couch is an Associate Professor at Tufts University's School of Engineering, Department of Computer Science, with a career spanning over 30 years. His work bridges network/system administration, autonomic computing, and hydrologic data science, focusing on scalable solutions for data management and automated system administration. Education: Ph.D. in Mathematics (1988), B.S. in Architecture (1978), and B.A. in Bassoon/Contrabassoon Performance (1978). Research Interests His research centers on: Network and System Administration: Tools like SLINK, Maelstrom, and Babble for dependency analysis, cloud migration, and policy enforcement. Geo-informatics: MEDFORD metadata language and HydroShare platform for hydrologic data curation and discovery. Autonomic Computing: Promise theory, convergent operators, and closure models for self-managing systems. Recent Work Trends His 2024-2018 publications emphasize: Cloud-based hydrologic data management (AnVILMEDFORD, HydroShare) Metadata standards for interdisciplinary research Machine learning for system administration Agent-based resource sharing models Scientific Awards Liebner Teaching Award (1996) Seymour Simches Advising Award (2017) Best Paper Awards: LISA 1996, AIMS 2008, LISA 2001 LISA 2000 Best Student Paper (with Michael Gilfix) Contributions He developed key software like Peep (network auralization) and Slink (configuration management), supported by NSF grants and industry partnerships. His work with CUAHSI's Water Data Center shapes national hydrologic data infrastructure. He also advocates for science education and privacy in computing.

• Peace and Security Studies
• Conflict and Development
• Political Economy of Violence
• +۳ مورد دیگر

Dr Folahanmi Aina is a Lecturer in Development Studies at SOAS University of London, specializing in the Political Economy of Violence, Conflict, and Development. He holds a PhD in Leadership Studies from King’s College London, with academic qualifications from institutions including the University of Oxford and Seoul National University. His research focuses on peace, security, and development challenges in West Africa’s Sahel and Lake Chad Basin regions, particularly addressing terrorism, insurgency, and governance failures. Education: BSc (Zaria) → MSc (Oxford) → MA (Seoul) → PhD (King’s College London). Research emphasizes transnational security dynamics, counterterrorism strategies, and the interplay between climate change and violent extremism. He has published in journals like African Security and Democracy and Security , and received the prestigious General Lamine Cissé Young Researcher Award. Recent work examines armed banditry in Nigeria, exploring its linkages to drug trafficking, pandemic impacts, and humanitarian crises. His studies highlight the need for process-based leadership and credible governance to address sub-national fragility.

Aaron Shugarمشاهده پروفایل

استاد

• Art Conservation
• Archaeological Materials
• X-ray Fluorescence Spectroscopy
• +۶ مورد دیگر

Aaron Shugar is a Professor and current Bader Chair in Art Conservation at Queen’s University. With a background in archaeometallurgy and conservation science, he specializes in non-destructive analysis techniques for cultural heritage, including X-ray fluorescence (XRF), Raman spectroscopy, and hyperspectral imaging. His work bridges art history, material degradation, and technological innovation. Honours H.B.A. in Anthropology and Law & Society from York University M.S. in Archaeological Materials from the University of Sheffield Ph.D. in Archaeometallurgy from University College London His research focuses on historic artist’s pigments , ancient metallurgy , and technical history of artifacts , with particular interest in degradation pathways and manufacturing processes. Recent publications highlight trends in AI integration with XRF analysis and preservation of modern materials in art conservation. Bader Chair in Art Conservation Mellon Foundation Professor in Conservation Science Aaron co-directed the Archaeometallurgy Laboratory at Lehigh University, served as a guest scientist at NIST, and remains a research associate at the Smithsonian Institution. He actively contributes to TEFAF’s Scientific Vetting Committee and acts as a forensic materials expert for the Court of Arbitration for Art.

• Political Science
• European Studies
• History
• +۳ مورد دیگر

Prof. Evgenii Dainov is a Professor of Political Sciences at New Bulgarian University. He holds a First Class B.A. Honours in Modern History and Modern Languages from Oxford University, an M.A. from Oxford, and a Ph.D. in History. His academic career includes roles as Associate Professor (1999) and Professor (2002). He has held visiting fellowships at institutions like Sciences Po Paris, St Antony's College Oxford, and the Institute for Human Sciences in Vienna. His research focuses on political transition in Bulgaria, European integration, and cultural studies. He teaches courses such as Politics: The Fundamental Ideas and Political Ideologies . Prof. Dainov is known for founding the Bulgarian Green Movement and the Bulgarian Music Association. His publications span topics from Russian authoritarianism to Bulgarian post-communist education reform. He actively contributes to academic and cultural life in Bulgaria through initiatives like the NBU-Blues University Programmes. His work bridges political theory, cultural analysis, and historical scholarship, with a focus on Eastern Europe and global cultural dynamics. Recent books include Russia: The Story of a Country Without History (2020) and Spirit of the Age (2020), exploring geopolitical and cultural transformations.