جستجوی استاد راهنمای دانشگاهی

Christian Theobaltمشاهده پروفایل

استاد

• Computer Science
• Artificial Intelligence
• Computer Vision
• +۵ مورد دیگر

Christian Theobalt is a Professor of Computer Science at Saarland University and Scientific Director of the Visual Computing and Artificial Intelligence Department at the Max Planck Institute for Informatics . He leads the Saarbruecken Center for Visual Computing as a strategic partnership between Google and MPI. PhD in Computer Science (2005) from MPI-INF/Saarland University Postdoctoral Researcher at MPI (2005-2007) Visiting Assistant Professor at Stanford (2007-2009) His research focuses on the intersection of Computer Graphics, Computer Vision, and Artificial Intelligence , with specializations in: 3D/4D Human Reconstruction Neural Rendering Performance Capture Geometric Deep Learning Volumetric Video Quantum Visual Computing Recent article trends show emphasis on: Quantum computing applications in visual reconstruction Neural rendering with radiance fields Human motion capture from egocentric views Gesture-language interaction modeling Multi-modal scene understanding Real-time free-viewpoint rendering Scientific Awards : Fellow of EUROGRAPHICS (2022) CVPR Best Student Paper Honorable Mention (2020) ERC Consolidator Grant (2017) Karl Heinz Beckurts Award (2017) Busy Beaver Teaching Award (2016) ERC Starting Grant (2013) Advising over 50 students and researchers including: Current researchers: Viktor Rudnev, Linjie Lyu, Mohit Mendiratta Postdocs: Kwang In Kim, Kiran Varanasi Alumni: Franziska Mueller (Google), Dushyant Mehta (Qualcomm), Ayush Tewari (MIT) Grants include ERC grants, Google Glass Research Award, and multiple industry partnerships. His lab maintains cutting-edge facilities with: Multi-camera capture systems Quantum annealing infrastructure HDR radiance field technology GPU clusters for AI research Time-of-flight imaging systems Event camera arrays

Matthias Nießnerمشاهده پروفایل

استاد

• 3D Digitization
• Computer Graphics
• Computer Vision
• +۷ مورد دیگر

Prof. Matthias Nießner is a Professor at the Technical University of Munich, leading the Visual Computing Lab. His research intersects computer graphics, vision, and AI, focusing on 3D reconstruction, semantic understanding, and AI-driven video synthesis. He holds a PhD from the University of Erlangen-Nuremberg (2013) and was a Visiting Assistant Professor at Stanford University (2013–2017). Notable awards include the ERC Starting Grant (2018), Nvidia Professorship Award, and Eurographics Young Researcher Award (2019). His work has been featured in mainstream media and led to startups like Synthesia Inc. Research spans Gaussian splatting, neural radiance fields, and generative AI for 3D avatars. Over 150 publications include SIGGRAPH, CVPR, and ECCV, with best paper awards. Projects like Face2Face and ScanNet have driven innovation in facial reenactment and 3D scene datasets. Education: PhD in Computer Science, University of Erlangen-Nuremberg (2013) Diploma in Computer Science, University of Erlangen-Nuremberg (2010) Research Interests: 3D digitization, neural rendering, generative AI, non-rigid reconstruction, and applications in AR/VR. Awards: ERC Starting Grant (2018) Nvidia Professorship Award (2018) Google Faculty Award (2018) SIGGRAPH Best Emerging Tech Award (2016) Grants: Over €1.5M from ERC and industry partnerships. Labs/Teams: Visual Computing Lab at TUM and Synthesia Inc. (co-founder). Key projects include ScanNet (large 3D indoor dataset), Face2Face (real-time facial reenactment), and Gaussian-based 3D avatars. Current work focuses on diffusion models, neural radiance fields, and AI-generated media detection.

John Oakeyمشاهده پروفایل

استاد

• Microfluidics
• Microscale transport phenomena
• Tissue engineering and regenerative medicine
• +۴ مورد دیگر

John Oakey is a Professor and Graduate Coordinator in the Department of Chemical and Biomedical Engineering at the University of Wyoming, with additional affiliations to the INBRE Program, Molecular and Cellular Life Sciences Program, and Materials Science and Engineering Program. Education Postdoctoral Fellow, Center for Engineering in Medicine, Massachusetts General Hospital & Harvard Medical School (2007–2010) Ph.D. Chemical Engineering, Colorado School of Mines (2003) M.S. Chemical Engineering, Colorado School of Mines (1999) B.S. Chemical Engineering, Penn State University (1997) Research Interests Oakey’s laboratory integrates fluid dynamics, colloidal science and materials science to understand how biological systems behave under flow, on surfaces and within complex 3-D geometries. A unifying theme is the use of microfabrication and microfluidics to create new diagnostic, prognostic and therapeutic platforms. Current thrusts include: Heterogeneous biomaterials: self-assembled particulate tissue scaffolds whose mechanical and transport properties can be temporally programmed. Inertial microfluidics: exploiting lift forces for membrane-free particle sorting, enrichment and diagnostics. Multi-temporal analysis by flow cytometry: development of closed-loop, high-throughput microfluidic cytometers for longitudinal single-cell studies. Publication Trends From 2025 back to 2010, Oakey’s articles reveal a consistent trajectory that marries fundamental physics (microtubule mechanics, inertial focusing) with translational applications (cell encapsulation, tissue scaffolds, drug delivery). Recent work (2023-2025) increasingly targets injectable granular hydrogels, single-cell therapeutic delivery and sustainable carbon-sequestering living materials, demonstrating an evolution from microscale transport phenomena to macroscopic biomedical and environmental impact. Scientific Awards No named awards are listed in the supplied text. Advising & Coordination Roles As Graduate Coordinator for the Department of Chemical and Biomedical Engineering, Professor Oakey oversees graduate program development and student mentoring. While no individual students are named, his role implies active supervision of M.S. and Ph.D. advisees in chemical and biomedical engineering. Laboratory & Teams The Oakey Research Group operates from the Energy and Environmental Research Building (EERB 435A) at the University of Wyoming. The lab enjoys R1-level research infrastructure and collaborates broadly with the Wyoming INBRE network, the Molecular and Cellular Life Sciences Program, and the Materials Science and Engineering Program.

Jeff Huangمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Data Science
• Health Informatics (eHealth/mHealth)
• +۳ مورد دیگر

Jeff Huang is an Associate Professor and Associate Chair of Computer Science at Brown University. His research focuses on Human-Computer Interaction (HCI), with emphases on personalized systems using behavioral data, health informatics, and user interfaces. Huang holds a PhD from the University of Washington and degrees from the University of Illinois at Urbana-Champaign. His work is funded by NSF, NIH, and ARO, and he has received awards including the NSF CAREER Award and ARO Young Investigator Award. Education: PhD in Information Science, University of Washington (2013) MS in Computer Science, University of Washington (2013) BS and MS in Computer Science, University of Illinois at Urbana-Champaign (2007) Research Interests: His work spans health informatics (e.g., sleep tracking systems like Self-E and SleepCoacher), user interface design, and leveraging behavioral data for personalized systems. Notable projects include WebGazer (webcam eye tracking), filtered.ink (creative illustration tools), and Sochiatrist (mental health analytics). Teaching: He teaches courses on user interfaces, HCI, and research methods, including CSCI 0130/1300 (User Interfaces), CSCI 2300 (HCI Seminar), and CSCI 2000 (Research Methods). Awards: NSF CAREER Award Facebook Fellowship ARO Young Investigator Award Grants & Advising: Huang leads a research group advising over 50 students, many of whom have pursued academic and industry roles. His grants support projects in HCI, health tech, and collaborative systems.

WANG Yeمشاهده پروفایل

دانشیار

• Sound and Music Computing
• Music Information Retrieval
• eHealth
• +۱۲ مورد دیگر

WANG Ye is an Associate Professor in the Department of Computer Science at the School of Computing, National University of Singapore (NUS). He holds a PhD in Information Technology from Tampere University of Technology, Finland, and has been a tenured faculty member at NUS since 2002, following his industry research role at Nokia Research Center. He is the director of the Sound and Music Computing Lab at NUS, leading cutting-edge research in AI-driven music and health technologies. PhD, Information Technology, Tampere University of Technology, Finland (2002) MSc, Telecommunications, Braunschweig University of Technology, Germany (1993) BSc, Telecommunications, South China University of Technology, China (1983) His research is centered on Sound and Music Computing for Human Health and Potential (SMC4HHP) , with a focus on eHealth, eLearning, mobile/wearable computing, and music information retrieval. His work spans AI for stroke rehabilitation, language learning through singing, singing voice synthesis, and automatic music transcription. He has pioneered systems like SLIONS (language learning via karaoke), CocoLyricist (AI co-creation for stroke recovery), and SinTechSVS (expressive singing voice synthesis). The latest articles highlight a strong trend in AI-driven music and health technologies , particularly in controllable lyric generation, singing voice synthesis, automatic pronunciation assessment, and multimodal music transcription. The research increasingly integrates large language models, explainable AI, fairness, and real-world deployment, reflecting a shift from theoretical exploration to practical, human-centered applications in healthcare and education. Dr. Wang has received numerous scientific honors, including: Best Paper Awards at ACM MM, ISMIR, IEEE ISM, and CHI First Prize, Asia Pacific Assistive, Rehabilitative, and Therapeutic Technologies Challenge (2015) Faculty Teaching Excellence Award, NUS School of Computing (2024) Top Paper Award, ACM Multimedia 2022 AI in Medicine Collaborative Grant for CocoLyricist project He has supervised over 11 PhD and 20 MComp students and is currently guiding six PhD candidates. His grants come from MOE, NRF, A*STAR, Nokia, and Smule. He has served as General Chair of ISMIR2017 and TPC Co-Chair of ICOT2017, and is on the editorial boards of IEEE Transactions on Multimedia and Journal of New Music Research. He has also developed and taught the first course on Sound and Music Computing in Singapore. Dr. Wang leads the Sound and Music Computing Lab (SMC Lab) , a multidisciplinary team exploring the synergy of music computing, AI, mobile technology, and cloud systems for health and education. The lab actively collaborates with medical institutions such as NUS Yong Loo Lin School of Medicine, Singapore General Hospital, and Harvard Medical School, and is currently working on projects in AI-supported language learning, stroke rehabilitation, and intelligent music interfaces.

Martin T. Wellsمشاهده پروفایل

استاد

• Applied Statistics
• Theoretical Statistics
• Bayesian Statistics
• +۷ مورد دیگر

Martin T. Wells is the Charles A. Alexander Professor of Statistical Sciences at Cornell University, with joint appointments in the Department of Statistical Science, Department of Biological Statistics and Computational Biology, Department of Social Statistics, and as Professor of Clinical Epidemiology and Health Services Research at Weill Medical School. He serves as Editor-in-Chief of the ASA-SIAM Book Series and Co-Editor of the Journal of Empirical Legal Studies. Cornell University, Ithaca, NY Weill Cornell Medical College Research Interests span applied and theoretical statistics, Bayesian methods, biostatistics, clinical epidemiology, and computational biology. His work bridges disciplines like finance, legal studies, and health services research. Article Trends highlight advancements in Bayesian modeling, quantum cognition machine learning, tensor analysis, and misclassification correction, with applications in genomics, finance, and public health. Fellow of the American Statistical Association Fellow of the Royal Statistical Society Contributions include developing statistical software (e.g., rTensor), methodological innovations in clinical trials, and empirical legal studies on civil rights and the death penalty.

Blair Hoxbyمشاهده پروفایل

استاد

• Early Modern Literature
• Tragedy and Tragic Theory
• Milton Studies
• +۷ مورد دیگر

Blair Hoxby is Professor of English at Stanford University's School of Humanities and Sciences, where he has taught since 2007. Previously, he served as Associate Professor of History and Literature at Harvard University (2005-2007) and Associate Professor of English at Yale University (2003-2005), where he began as Assistant Professor in 1998. His academic journey includes a Ph.D. in English from Yale University (1998), an M.Phil. in English Studies from the University of Oxford (1990), and an A.B. in English and American Literature and Language from Harvard University (1988). Hoxby's research focuses on literature and culture from 1500 to 1800, with particular emphasis on tragedy theory, Milton studies, and the intersection of literature and economics. His notable works include What Was Tragedy? Theory and the Early Modern Canon (2015) and Mammon's Music: Literature and Economics in the Age of Milton (2002). He argues that early modern tragedy differed significantly from contemporary understandings of the genre, with passions rather than deeds or character serving as the keys to early modern tragic performance. Hoxby's recent scholarly output reveals a consistent engagement with early modern theatrical practices, particularly tragedy and opera. His work demonstrates sophisticated interdisciplinary approaches, connecting literary analysis with historical context, economic theory, and performance studies. He has made significant contributions to understanding how commercial culture shaped literary production and how theatrical conventions evolved across national boundaries in Europe. Scientific Awards and Honors Internal Fellow, Stanford Humanities Center (2009-2010) Morse Fellowship, Juilliard School (2001-2002) Samuel and Ronnie Heyman Prize, Yale University (2001) John Addison Porter Prize, Yale University (1999) Rhodes Scholarship, University of Oxford (1988-1990) Hoxby has supervised numerous doctoral students and served in various administrative roles at Stanford, including Director of Undergraduate Studies (2011-2014) and Director of Graduate Admissions (2008-2011). His teaching portfolio includes courses on English poetry from the Renaissance to Romanticism, tragedy and tragic theory from Aristotle to the present, theater history, and performance theory. Currently, he teaches courses such as Court Theater from Shakespeare to Mozart and Introduction to English II: From Milton to the Romantics . Hoxby maintains active scholarly engagement through committee memberships, including the Executive Committee of the Milton Society of America (2009-2013) and service as a referee for major academic presses including Oxford University Press and the University of Pennsylvania Press.

• Human-Computer Interaction
• Data Visualization
• Software Adaptability
• +۴ مورد دیگر

James R. Eagan is an Associate Professor in the Computer Science and Networks Department (Infres) at Télécom Paris , part of the Institut Polytechnique de Paris. He is also a Visiting Professor at the University of Colorado, Boulder for the 2024–25 academic year. His research focuses on making computers more expressive tools for human interaction, emphasizing malleable software, collaborative dynamic media, and multi-surface environments. His work spans Human-Computer Interaction , Data Visualization , and User Interface Programming . A key theme involves adapting software for user-driven customization, exemplified by projects like Webstrates (shareable dynamic media) and SchemeLens (semantic zoom for technical diagrams). He also explores uncertainty in data analytics and gesture-based interfaces for experts. Recent publications from 2020–2024 address Explainable AI (XAI) , Financial Crime Detection , and Interactive Data Analysis . His tools Tarantula and SchemeLens have received acclaim, including the 2015 ACM SIGSOFT Impact Award and Best Paper at UIST 2015. Scientific accolades include: Prix de l’Impact 2015 d’ACM SIGSOFT Best Paper Award at UIST 2015 Honorable Mention at CHI 2017 He teaches courses in Mobile Application Development , Human-Computer Interaction , and Data Visualization . His lab, DIVA (Design, Interaction, Visualization & Applications), operates within the Information Processing and Communication Laboratory (LTCI). He actively recruits PhD candidates and postdocs for research in these domains.

Gary Pielakمشاهده پروفایل

استاد

• Protein Biophysics
• In-Cell NMR Spectroscopy
• Macromolecular Crowding
• +۳ مورد دیگر

Gary Pielak is a Kenan Distinguished Professor of Chemistry, Biochemistry, and Biophysics at the University of North Carolina at Chapel Hill, with a joint appointment in the School of Medicine. His research focuses on high-resolution protein NMR studies in living cells and the biophysics of tardigrade desiccation-tolerance proteins, bridging structural biology and molecular biophysics. Education: BS in Chemistry from Bradley University (1977), PhD in Biochemistry from Washington State University (1983), Postdoc at the University of British Columbia (1983-1986), Postdoc at Oxford University (1986-1988). Research Interests center on understanding protein structure, stability, and function in physiologically relevant environments. Key areas include: In-Cell NMR: Quantifying protein behavior in living cells using advanced NMR techniques. Macromolecular Crowding: Studying synthetic polymers and proteins as crowding agents to mimic cellular environments. Tardigrade Biology: Exploring desiccation-tolerance mechanisms in intrinsically disordered proteins from water bears. Recent Publications highlight interdisciplinary trends, combining AI-driven stability prediction, solid-state NMR for dry protein analysis, and molecular glass/gel applications for preservation. His Scientific Awards include: NIH Pioneer Award DuPont and Morrow Young Faculty Awards Multiple UNC Mentorship Awards Mentorship is a cornerstone, with a focus on training graduate students and advancing NMR methodologies. His group employs Research Methods : 19F, 1H, 15N, and 13C NMR Circular Dichroism and Calorimetry Protein Expression in E. coli

Timothy Hamptonمشاهده پروفایل

استاد

• Comparative Literature
• Renaissance and Early Modern Studies
• Literature and Politics
• +۴ مورد دیگر

Timothy Hampton is a Professor of French and Comparative Literature at the University of California, Berkeley , and serves as Director of the Doreen B. Townsend Center for the Humanities . He was previously the Director of the Designated Emphasis in Renaissance and Early Modern Studies and co-chairs the Democracy, Free Speech, and Values study group. His research explores intersections of literature and politics , poetry and song , and the history of emotion and diplomacy in Renaissance and early modern periods. Recent projects include a 2022 France-Berkeley Fund grant on poetry translation and a Diebold Foundation grant for interdisciplinary cultural studies. Notable publications include Bob Dylan: How the Songs Work (2019) and Cheerfulness: A Literary and Cultural History (2022). Upcoming works address premodern colonialism and American education through memoir and cultural critique. His scholarship appears in MLN , Critical Inquiry , and public venues like Salon and Aeon/Psyche .

Richard Jochelsonمشاهده پروفایل

استاد

• Criminal Law
• Constitutional Law
• Police Powers
• +۷ مورد دیگر

Richard Jochelson serves as Dean of Law at the Faculty of Law, University of Manitoba (Robson Hall), a position he has held since July 1, 2016. Previously, he taught criminal law for 10 years at the University of Winnipeg. Dr. Jochelson holds a Ph.D. in Law from Osgoode Hall Law School at York University, an LLM from the University of Toronto Faculty of Law, an LL.B. with Gold Medal from the University of Calgary Faculty of Law, and a B.Sc. in Zoology with Distinction from the same institution. He completed his legal training as a clerk at the Alberta Court of Appeal and Court of Queen's Bench before working at a major Canadian law firm. Dr. Jochelson's research program centers on critical issues in criminal justice and constitutional law, with primary interests in police powers jurisprudence, sexual regulation (particularly obscenity and indecency law), jury systems and representativeness, and legal pedagogy. His interdisciplinary approach bridges law with sociology and psychology, bringing empirical and theoretical rigor to legal scholarship. His work consistently addresses social justice concerns, examining how vulnerable populations interact with the justice system and how concepts like risk, precaution, and visibility shape legal decision-making. He has developed a distinctive methodology combining doctrinal analysis with empirical research on judicial behavior and jury decision-making. His recent publications reveal evolving scholarly priorities that respond to contemporary legal challenges. The 2025 article "Morbid Matters" addresses medical assistance in dying within federal corrections, while his 2024 works on youth terrorism cases and agnotology demonstrate expansion into new interdisciplinary territories. His longstanding commitment to police powers scholarship continues with "Ancillary Police Powers in Canada" (2024). The pandemic period saw significant contributions to understanding digital justice, mental health in legal education, and remote court proceedings. His criminal law scholarship maintains focus on jury representativeness, particularly regarding Indigenous inclusion following Bill C-75's elimination of peremptory challenges. Students' Teacher Recognition Award (CATL) - 2018 Dr. Jochelson has secured multiple SSHRC Insight Grants as both Principal and Co-investigator, demonstrating his ability to lead interdisciplinary research teams. His mentorship extends to junior academics and students, with several publications co-authored with emerging scholars. He has built significant research infrastructure, notably assembling nearly 40 interdisciplinary scholars across Canada for Robsoncrim.com, which has elevated the Criminal Law Edition of the Manitoba Law Journal to prominence as one of Canada's preeminent criminal law publications. As Dean of Law, Dr. Jochelson provides leadership in academic governance and legal education innovation. His service includes extensive committee work on academic affairs, workload policy, and hiring/tenure committees. His commitment to universal design principles informs both his teaching approach and administrative leadership, emphasizing accessibility and student-centered pedagogy that allows flexible evaluation methods tailored to individual learning preferences.

Chris Harrisonمشاهده پروفایل

دانشیار

• Ubiquitous Computing
• Human-Centered AI
• Physical Interfaces
• +۵ مورد دیگر

Chris Harrison is an Associate Professor at Carnegie Mellon University's School of Computer Science, directing the Future Interfaces Group . His research focuses on novel human-computer interaction technologies, including haptics, AR/VR/XR, and ubiquitous computing. Research Interests: Ubiquitous Computing, Human-Centered AI, Physical Interfaces (Sensing, Haptics, Fabrication), AR/VR/XR, Social Computing Advisees: Daehwa Kim, Nathan DeVrio, Vimal Mollyn, Vivian Shen Scientific Recognition: Forbes 30 Under 30 (Science), MIT Technology Review 35 Innovators Under 35, Smithsonian Innovator (2013), Google/Microsoft/Qualcomm Fellows Contact: chris.harrison@cs.cmu.edu His recent publications explore advanced haptic systems (Reel Feel, Fluid Reality), body-centric sensing (SkinTrack), and environment-embedded interfaces (Wall++). Current work integrates UWB/IMU fusion for pose estimation and synthetic jet haptics.

Knut Reinertمشاهده پروفایل

استاد

• Algorithmic Bioinformatics
• Genomic Sequence Analysis
• Proteomics
• +۷ مورد دیگر

Professor Knut Reinert is a leading figure in algorithmic bioinformatics at the Free University of Berlin, where he holds a professorship in the Department of Mathematics and Computer Science. He also maintains a significant affiliation with the Max Planck Institute for Molecular Genetics in Berlin, where he leads the Efficient Algorithms for Omics Data group. His research spans both institutions through the Reinert Lab, which focuses on developing novel computational approaches for biological data analysis. Reinert's educational background includes a Diploma in Computer Science (1994) and a Doctorate (Dr. Ing./Ph.D., 1999, with honors) from the Max-Planck-Institut for Computer Science and Universität des Saarlandes in Saarbrücken. Prior to his professorship, he worked as a computer scientist under Prof. Gene Myers at Celera Genomics in Rockville, USA (1999-2002). His primary research interests center on algorithmic bioinformatics with specific focus on developing novel algorithms and data structures for biomedical mass data analysis. This includes creating mathematical models for genomic sequence analysis and algorithms for mass spectrometry data to detect differential protein expression between normal and diseased samples. His work bridges the gap between computational tool development and practical biological applications, with particular emphasis on NGS and proteomics data. The publications and projects led by Prof. Reinert demonstrate a consistent focus on advancing computational methods in bioinformatics. His research spans genomic sequence analysis, RNA research (particularly long non-coding RNAs), parallel computing applications, and GPU acceleration for biological data processing. The work shows increasing sophistication in handling large-scale biological datasets through innovative algorithmic approaches. Intel® Parallel Computing Center designation for his lab CUDA Research Center status DFG funding of 530 thousand Euros for RNA research de.NBI funding of 2 million Euros BMBF funded projects 'LIVE-DREAM' and 'EssBar' Prof. Reinert leads multiple significant research projects and has established strong collaborations with international partners including Texas A&M, Kings College London, Eberhardt-Karls Universität Tübingen, Robert-Koch-Institute, and various Turkish institutions. His lab receives funding from major organizations including DFG, BMBF, and Intel. The Reinert Lab maintains active teaching responsibilities at FU Berlin, offering courses at BSc, MSc, and PhD levels using both traditional and innovative learning concepts like e-learning and inverted classrooms. The Reinert Lab consists of two interconnected research groups that work closely with experimental biologists and medical researchers to develop practical computational solutions for real-world biological problems. The lab has established itself as a key player in the German and international bioinformatics community through its development of the widely-used SeqAn library and participation in national infrastructure initiatives.

Stacey Lantagneمشاهده پروفایل

استاد

• Copyright Law
• Trademark Law
• Digital Creativity
• +۴ مورد دیگر

Stacey Lantagne is a Professor of Law at Western New England University School of Law , joining in 2022. Her research explores the intersection of digital creativity and intellectual property law, focusing on fanfiction and internet memes. She actively engages with pop culture and fan studies communities as a presenter and guest speaker. Education : B.A. summa cum laude, Boston College (English major, Computer Science minor) J.D. cum laude, Harvard Law School Her work addresses evolving legal challenges in digital communication, trademark expansion, and fair use doctrine. Articles like “Building a Better Mousetrap” and “Mutating Internet Memes” highlight her expertise in copyright law’s adaptation to internet culture. She serves on the Legal Committee of the Organization for Transformative Works , advocating for fan creators. Prior roles include teaching at the University of Mississippi and Loyola University New Orleans, along with intellectual property litigation experience at Goodwin Procter and Drinker Biddle & Reath.

Todd H. Hallمشاهده پروفایل

استاد

• International Relations Theory
• Emotion and Foreign Policy
• Chinese Foreign Policy
• +۳ مورد دیگر

Todd H. Hall is a Professor of International Relations at the University of Oxford's Department of Politics and International Relations (DPIR) and a Tutorial Fellow in Politics at St Anne's College. He directs the University of Oxford China Centre and holds affiliations with the International Relations Network and the Centre for International Studies (CIS). His research focuses on international relations theory, emotional dimensions of diplomacy, and Chinese foreign policy, with particular emphasis on Sino-Japanese relations and East Asian security dynamics. Education: PhD in Political Science from the University of Chicago (2008). Postdoctoral fellowships at Princeton and Harvard Universities, and visiting scholar appointments at Free University of Berlin, Tsinghua University, and University of Tokyo. Research interests include the role of emotions in international politics, China's foreign policy, and the historical parallels between early 20th-century European tensions and contemporary East Asian geopolitics. His award-winning book *Emotional Diplomacy* (2015) explores how states strategically deploy emotion in international relations. Recent publications analyze Huawei's 5G policy dilemmas, China's Belt and Road Initiative, and dispute escalation mechanisms. He advises on East Asian security, including repeated tensions in the South China Sea and Sino-Japanese territorial disputes. Awards include the ISSA 2016 Diplomatic Studies Book Award. Active in policy commentary, his op-eds address Taiwan Strait tensions, China's diplomatic rhetoric, and historical memory conflicts. Labs/Teams: Leads the Oxford China Centre's research initiatives on modern Chinese diplomacy and emotional geopolitics. Collaborates with institutions like the National University of Singapore and Missouri S&T on East Asian security studies.