جست‌وجوی استاد و پژوهشگر

Cathy Wuمشاهده پروفایل

استاد

• Computational Biology
• Bioinformatics
• Data Science
• +۸ مورد دیگر

Cathy Wu is a distinguished academic holding the Unidel Edward G. Jefferson Chair in Engineering and Computer Science at the University of Delaware. She serves as Director of the Center for Bioinformatics & Computational Biology (CBCB), Data Science Institute (DSI), and Protein Information Resource (PIR). Her roles include professorships in the Departments of Computer & Information Sciences and Biological Sciences. Education: BS in Plant Pathology (National Taiwan University, 1978), MS and PhD in Plant Pathology (Purdue University, 1982–1984), and a second MS in Computer Science (University of Texas at Tyler, 1989). She completed postdoctoral training in Molecular Biology at Michigan State University (1985–1986). Research interests focus on computational biology, bioinformatics, and data science with emphasis on protein informatics, biological text mining, ontology development, gene-disease-drug networks, and machine learning applications. She leads initiatives in integrating FAIR principles into biological databases like UniProt and InterPro. Her work bridges computational methods with biomedical challenges, including cancer genomics, epigenetic regulation, and proteomic analyses. She has spearheaded educational programs such as the Online Graduate Certificates in Applied Bioinformatics and Biomedical Informatics and Data Science. Her contributions include over 290 peer-reviewed publications (48,000+ citations, h-index 71) and authored/co-authored four books on bioinformatics. She directs multidisciplinary research teams and collaborates internationally on projects like the HALO study on ovarian cancer genetics. Awards and recognition are implied through her leadership roles and academic appointments, though specific prizes are not listed here. Her grants and funding support large-scale initiatives in bioinformatics infrastructure and translational research.

Ghassan AlRegibمشاهده پروفایل

استاد

• Machine Learning
• Image and Video Processing
• Computer Vision
• +۷ مورد دیگر

Ghassan AlRegib is the John and Marilu McCarty Chair Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology. He directs the Omni Lab for Intelligent Visual Engineering and Science (OLIVES), the Center for Energy and Geo Processing (CeGP), and previously led Georgia Tech's MENA initiatives (2015-2018). His research spans machine learning, image processing, and seismic interpretation with real-world applications in autonomous vehicles, medical imaging, and subsurface analysis. His research focuses on trustworthy AI systems through three pillars: enhancing interpretability, improving robustness/generalizability, and tackling domain-specific challenges. Key interests include human-in-the-loop frameworks, uncertainty quantification, explainable AI, and physics-driven learning. The OLIVES lab pioneered modern machine learning applications in seismic interpretation and developed open-source datasets for geological fault analysis. Dr. AlRegib's scientific contributions include over 270 publications, multiple U.S. patents, and leadership roles as Technical Program co-Chair for ICIP 2020/2024. His work demonstrates significant impact through awards like the IEEE Fellow designation (2022) and multiple best paper awards at premier conferences. IEEE Fellow (2022) 2023 EURASIP Best Paper Award 2019 ICIP Best Paper Award 2017 Denning Faculty Award for Global Engagement CSIP Research & Service Awards (2003) He has advised numerous PhD students including Dr. Ashraf Alattar (now Auburn professor) and Dr. Zhiling Long (Kennesaw State faculty). His lab structure emphasizes collaborative teams comprising postdocs, senior/junior PhD students, and undergraduates working on high-impact problems from autonomous systems to medical diagnostics. Current research thrusts include trustworthy neural networks, human-in-the-loop frameworks, and deployment of machine learning in seismic interpretation and ophthalmology.

Tim Foskerمشاهده پروفایل

مدرس ارشد

• Developmental Psychology
• Cognitive Neuroscience
• Language Development
• +۵ مورد دیگر

Tim Fosker is a Senior Lecturer in the School of Psychology at Queen’s University Belfast, specializing in developmental cognitive neuroscience and psychology. He focuses on the auditory precursors of speech processing, literacy development, and neural development in children. Fosker directs the Language, Learning and Literacy Lab (L3Lab@QUB), which includes EEG and audiometric facilities. He holds a PhD from Bangor University and completed a postdoctoral fellowship at the University of Cambridge under Professor Usha Goswami. His research interests span auditory processing deficits in dyslexia, classroom communication methods, and psycholinguistics. He teaches Developmental Psychology at undergraduate and postgraduate levels and serves as Advisor of Studies, Personal Tutor, and Disability Advisor in his department. Fosker has secured grants, including the 2010–2013 project on auditory discrimination and children’s reading development. His awards include the Staff Excellence Award (2021) and the School of Psychology ICARE Award (2022). He actively collaborates on initiatives like fostering screen time interventions and hosting academic visitors. His recent work emphasizes systematic reviews on screen time effects in neurodiverse children and longitudinal studies on phonological development. Fosker’s lab also engages in outreach, such as the Knocknagoney Primary School initiative, promoting child development research.

• Computational Social Science
• Political Violence
• Radicalization
• +۳ مورد دیگر

David Muchlinski is an Assistant Professor at the Sam Nunn School of International Affairs within the Ivan Allen College of Liberal Arts at the Georgia Institute of Technology. He specializes in computational social science with a focus on political violence, utilizing machine learning and natural language processing techniques to study radicalization processes and conflict forecasting. His research interests include: Predictive modeling of civil wars and mass atrocities Social media analysis for radicalization detection Machine learning applications in conflict studies Natural language processing of extremist communications Cross-national patterns of political violence Muchlinski's publications demonstrate a consistent focus on developing computational methods for conflict analysis, with recent work exploring deep learning approaches to electoral violence measurement and transitional justice mechanisms. His research bridges political science, data science, and artificial intelligence, emphasizing practical policy applications. He is actively recruiting computer science students for research projects in computing for social good, particularly those with expertise in machine learning, data visualization, and network analysis.

Anna Mahtaniمشاهده پروفایل

دانشیار

• Philosophy of Language
• Decision Theory
• Formal Epistemology
• +۶ مورد دیگر

Anna Mahtani is an Associate Professor in the Department of Philosophy, Logic and Scientific Method at the London School of Economics and Political Science (LSE). She completed her PhD on the Epistemic Theory of Vagueness at the University of Sheffield in 2005, followed by a British Academy Postdoc at the University of Oxford before joining LSE in 2013. Her research spans formal epistemology, decision theory, philosophy of language, and welfare economics. Key areas include: Vagueness and credence : Exploring supervaluationism and imprecise probabilities Rationality constraints : Dutch book arguments, Pareto principles, and Reflection principles Epistemic dynamics : Awareness growth, deference, and updating mechanisms Philosophical economics : Designator-dependence in welfare analysis Her publications focus on Bayesian epistemology, probability formalisms, and ethical decision-making. Recent works analyze credence instability, opaque propositions, and the interplay between linguistic vagueness and probabilistic reasoning. Awards: Philip Leverhulme Prize (2014) Professional service includes editorial roles for PhilPapers and The Reasoner , council membership at the Royal Institute of Philosophy, and committees for the British Society for the Philosophy of Science.

Clara-Auguste Süßمشاهده پروفایل

پژوهشگر ارشد

• Political Science
• Radicalization
• Terrorism and Extremism Prevention
• +۱۲ مورد دیگر

Dr. Clara-Auguste Süß is a postdoctoral researcher and Associate Fellow at the Peace Research Institute Frankfurt (PRIF), where she contributes to the Research Department Intrastate Conflict and the Research Group Radicalization, Terrorism, and Extremism Prevention. Since May 2024, she has also served as Postdoctoral Research Fellow and Outreach & Transfer Manager at the Merian Centre for Advanced Studies in the Maghreb (MECAM), hosted by the German Institute for Global and Area Studies (GIGA). Her work bridges academic research and policy engagement in the fields of political violence, social movements, and extremism in North Africa. Education: PhD in Political Science, Goethe University Frankfurt (2023) M.A. in Political Science, Philipps University Marburg (2017) B.A. in Political Science and Communication Studies, TU Dresden (2014) Her research centers on Islamist radicalization processes, political transformation, and marginalization in Tunisia, particularly in the aftermath of the Arab Spring. She investigates how socioeconomic grievances, political opportunities, and framing processes contribute to radicalization, with a strong emphasis on empirical and policy-relevant analysis. Her work also explores co-escalation dynamics in contentious politics and the impact of global crises—such as the pandemic and the war in Ukraine—on extremist mobilization in the MENA region. Dr. Süß’s recent publications reflect a consistent focus on comparative studies of Egypt and Tunisia, the role of state and societal responses to extremism, and interdisciplinary approaches to peace and conflict research. Her articles span academic journals, policy briefs, and public commentary, demonstrating a commitment to knowledge transfer and public engagement. Scientific Awards and Recognitions: Friedrich Ebert Foundation Scholarship (2015–2017) She has actively contributed to academic governance as a Board Member of the EuroMeSCo Young Researchers Lab (2022–2023), Representative of the PRIF board for assistants (2021–2023), and member of the Leibniz PhD Network (2019–2021). Her advisory role is implied through collaborative publications and leadership in research projects, though no formal PhD students are listed. She has been involved in major research alliances such as PRIF’s Radicalization, Extremism, and Terrorism Prevention group and contributes to high-impact policy assessments like the Friedensgutachten. Her work is embedded in transnational research networks focused on the Maghreb, social movements, and conflict prevention.

Zihao Fuمشاهده پروفایل

عضو هیئت علمی

• Large Language Models
• Natural Language Processing
• Machine Learning
• +۷ مورد دیگر

Zihao Fu is a Research Assistant Professor at The Chinese University of Hong Kong (CUHK), specializing in Large Language Models (LLMs) and Natural Language Processing (NLP) . His work bridges computational methods with social sciences, focusing on model instability, repetition, hallucination, and algorithmic fairness. He has held research positions at the Oxford Internet Institute and the Language Technology Lab at the University of Cambridge. Education Ph.D. in Systems Engineering and Engineering Management (2017–2021), CUHK M.Eng. in Aeronautics and Astronautics (2012–2015), Beihang University B.Eng. in Automation Science (2008–2012), Beihang University His research explores the theoretical foundations of LLMs, addressing challenges like repetition , instability , and hallucination . He integrates linguistics , cognitive science , and fairness frameworks to enhance both foundational understanding and real-world applications of language technologies. Recent work includes biomedical NLP applications ( BAND dataset ), parameter-efficient model adaptation, and fairness toolkits ( OxonFair ). Zihao leads projects like BioCaster (disease outbreak monitoring) and CAM-Tool (cloud task distribution). He is actively mentoring postdoctoral researchers at CUHK and CUHK (Shenzhen), with expertise in machine learning , knowledge base integration , and parallel computing systems . His industry experience includes developing distributed algorithms at Alibaba Cloud’s PAI platform.

Francisco Ruizمشاهده پروفایل

دانشیار

• Fuel Atomization
• Internal Combustion Engines
• Regenerative Thermodynamic Cycles
• +۲ مورد دیگر

Dr. Francisco Ruiz is Associate Professor of Mechanical and Aerospace Engineering at Illinois Institute of Technology's Armour College of Engineering, specializing in thermal sciences and energy systems. Education: Ph.D. in Mechanical Engineering from Carnegie Mellon University (1987) M.S. in Mechanical Engineering from Carnegie Mellon University (1985) B.S. in Aerospace Engineering from Universidad Politécnica de Madrid (1983) His research investigates fundamental mechanisms of fuel atomization, cavitation effects in injection systems, and advanced internal combustion concepts including regenerative cycles and natural gas engines. He pioneers computational modeling approaches for combustion optimization and has developed innovative curriculum frameworks for engineering innovation. Publications demonstrate enduring focus on adaptive thermodynamic cycles, combustion stability, and fluid atomization physics. Recent work examines novel engine architectures and combustion modeling techniques for efficiency improvement. Awards recognize research and educational innovation: Tanasawa Award for atomization research (1988) SAE Teetor Award (1990) Chicago Tribune All-Professor Team (1993) He leads the Invention Center pedagogy initiative transforming engineering education through design thinking methodologies. Professional memberships include SAE, Tau Beta Pi, and Pi Tau Sigma.

Jannis Julien Grimmمشاهده پروفایل

پژوهشگر

• Middle Eastern Studies
• Political Science
• Social Movements
• +۶ مورد دیگر

Dr. Jannis Julien Grimm is a Researcher at the Institute for Social Movement and Protest Studies (ipb) and the Center for Middle Eastern and North African Politics at Freie Universität Berlin. He holds dual roles as Regional Coordinator for Trade Unions and Social Justice in the MENA region and Libya Policy Analyst at the Friedrich-Ebert-Stiftung (since 2019). His academic career includes doctoral research on post-revolutionary Egypt’s protest dynamics, culminating in his 2020 thesis and 2022 book Contested Legitimacies . He co-leads the SAFEResearch project, developing fieldwork safety protocols, and contributes to academic journals like Forschungsjournal Soziale Bewegungen . His work bridges political theory with empirical research on authoritarianism, social mobilization, and academic freedom in the Middle East. Education: Studied Middle Eastern Studies and Political Science in Münster, Berlin, and Cairo. Completed PhD at the Berlin Graduate School Muslim Cultures and Societies (2015–2019). Research Interests: Focuses on protest dynamics, authoritarian restoration in post-Arab Spring states, and researcher safety in hostile environments. Explores discursive strategies in contentious politics, particularly how narratives shape mobilization and repression outcomes in Egypt and MENA. Grants & Projects: Led SAFEResearch (since 2016) and contributed to SWP Berlin’s ‘Elite Change in the Arab World’ project. Supervised by Prof. Cilja Harders and Prof. Carola Richter during doctoral studies. Labs/Teams: Active at ipb and the Center for Middle Eastern Politics. Convenes the Politics from Below colloquium on social movement theory.

• Russian Literature
• Literary Theory
• Cognitive Linguistics
• +۳ مورد دیگر

Dr Artur Przemysław Sadecki is an Adjunct Professor at the Department of Slavic Philology, Faculty of Languages, Literatures and Cultures, Maria Curie-Skłodowska University. His academic career focuses on Russian literature, cognitive linguistics, and narrative theory, with a particular emphasis on Anton Chekhov's prose. Literary studies Cognitive linguistics Narrative theory Slavic studies Aesthetic analysis Gender dynamics His research explores conceptual integration in Chekhov's works, miscommunication through mind theory, and the symbolic representation of identity and domesticity. Recent publications analyze existential themes in Chekhov's "Koszmar" and the paradoxical portrayal of love in "Bransoleta z granatów". As a linguist and literary critic, he contributes to journals like Acta Humana , Slavia Orientalis , and Przegląd Rusycystyczny , while also serving as a language editor for academic publications.

• Greek Philology
• Classical Literature
• Hellenistic and Imperial Greek Literature
• +۴ مورد دیگر

Jorge Luis Sanchis Llopis is an Associate Professor in the Department of Classical Philology at the Faculty of Philology, Translation and Communication, University of Valencia. His research is centered on Greek literature, particularly Hellenistic and Imperial Greek comedy, and he is a member of the GRETRALIGREHIMP research group focused on the translation and study of classical Greek texts. Research Interests: His work spans Greek Philology , Classical Reception , and Interdisciplinary Humanities . He explores themes such as social instability in Greek comedy, the use of myth in modern Hispanic literature, and the linguistic features of post-Aristophanic comedy. His scholarship bridges philology, literary analysis, and cultural history. Publication Trends: Over the past decades, Sanchis Llopis has consistently published on Middle Comedy, the reception of classical myths in Spanish and Latin American literature, and the intersection of rhetoric and comedy. His work shows a deep engagement with both fragmentary texts and broader cultural interpretations of antiquity. Scientific Awards: No awards or fellowships are mentioned in the provided text. Advising and Grants: While specific students or grant funding are not listed, his role as a thesis advisor is implied through his academic position and doctoral supervision activities. He has contributed to lifelong learning programs, such as the interdisciplinary course on Classical Civilization at the University of Valencia. Labs and Research Teams: He is actively involved with the GRETRALIGREHIMP research group, which focuses on the translation and interpretation of Hellenistic and Imperial Greek literature, contributing to both scholarly and educational outputs in the field of Classics.

• Perception and Experience of Art
• Effects of Observation on Behavior
• Social Perception
• +۴ مورد دیگر

Vera M. Hesslinger is a Researcher at the Department of General Psychology and Methodology , Faculty of Human Sciences, Otto-Friedrich-Universität Bamberg. She earned her PhD in Experimental Psychology from Johannes Gutenberg University Mainz , supervised by Univ.-Prof. Dr. Heiko Hecht. Her work focuses on the perception and experience of art , cognitive maps , and social perception dynamics . Research Interests : Art perception, cognitive processing of visual ambiguity, social factors in aesthetics, and psychophysical analysis of color and depth perception. Key Contributions : Co-authored studies on the Mona Lisa’s 3D implications, #TheDress color perception, and social conformity in aesthetic judgments. Explored semantic instability in art and cognitive mapping. Recent Trends : Her 2022-2023 publications examine analytic vs. synthetic art perception and cross-cultural emptiness in architecture , reflecting a blend of experimental psychology and applied aesthetic research. Teaching : Conducts seminars on perception and observation exercises for BSc Psychology students, emphasizing empirical methods. Contact : Located at Markusplatz 3, Bamberg; office hours by appointment via email vera.hesslinger@uni-bamberg.de .

Jean-Cédric Chappelierمشاهده پروفایل

مدرس ارشد

• Computational Linguistics
• Natural Language Processing
• Machine Learning
• +۳ مورد دیگر

Jean-Cédric Chappelier is a Senior Lecturer and Researcher at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Computer and Communication Sciences. He works in computational linguistics and natural language processing, with a focus on robust parsing techniques, semantic indexing, and clustering algorithms. His research interests span computational linguistics, natural language processing, machine learning, tree substitution grammars, and semantic indexing. His publications from 2000-2006 demonstrate expertise in stochastic parsing, ontology-based indexing, and community structure analysis in complex networks. He has supervised multiple EPFL PhD students including Florian Seydoux and Emmanuel Eckard. Jean-Cédric holds an Ms.Sci. and Ph.D. in Computer Science from École Nationale Supérieure des Télécommunications de Paris. He teaches courses on object-oriented programming, computer systems, and natural language processing at EPFL.

Prashant Khareمشاهده پروفایل

دانشیار

• Fluid Dynamics
• Combustion
• Multiphase Flows
• +۳ مورد دیگر

Dr. Prashant Khare is an Associate Professor and Bradley Jones Chair in the Department of Aerospace Engineering at the University of Cincinnati (UC), leading the College of Engineering and Applied Science. He holds a Ph.D. from Georgia Institute of Technology and an M.S. from Penn State University. His research focuses on multiphase fluid dynamics, combustion, and machine learning applications in aerospace engineering, leveraging high-performance computing (HPC) infrastructure. He co-founded UC's Advanced Research Computing (ARC) center and has secured significant federal/state grants totaling over $2.5M in recent years. His research group investigates hypersonic flows, spray combustion, and shock-droplet interactions, employing LES/DNS simulations and data-driven modeling. Notable achievements include AIAA Associate Fellow (2024), Best Research Paper Award (2024), and multiple teaching/mentorship accolades. He advises graduate students and collaborates with industry partners like General Electric Aviation. Current projects include NASA-funded studies on hypersonic propulsion and NSF-supported HPC cluster development. Education: Ph.D. Aerospace Engineering (Georgia Tech, 2014), M.S. Mechanical Engineering (Penn State, 2009) Labs/Teams: Khare Research Group, Advanced Research Computing (ARC) Center Grants: Over 20 active/funded projects including $1M NSF MRI award and ONR computational naval sciences initiatives

Sam Bowmanمشاهده پروفایل

دانشیار

• Natural Language Processing
• Artificial Neural Networks
• Computational Semantics
• +۵ مورد دیگر

Sam Bowman is an Associate Professor at New York University in the departments of Data Science, Linguistics, and Computer Science. He is currently on a long-term leave from NYU while working at Anthropic, focusing on technical AI safety. Bowman leads the ML² Group and CILVR Lab, and previously headed the Alignment Research Group (2022-2024). His research spans natural language processing, artificial neural networks, computational semantics, and large language model safety. His work addresses critical AI safety challenges including model alignment, reward hacking, and ethical compliance. He advocates for rigorous evaluation frameworks and has developed benchmarks like SuperGLUE and BLiMP. Bowman's recent publications examine chain-of-thought reasoning, deceptive alignment, and behavioral vulnerabilities in frontier AI systems. Contact: bowman@nyu.edu | @sleepinyourhat on X.