جستجوی استاد راهنمای دانشگاهی

• Data Visualization
• Human-Computer Interaction
• Big Data Analytics
• +۱۳ مورد دیگر

Huamin Qu is a Chair Professor in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST). He serves as the Founding Dean of the Academy of Interdisciplinary Studies (AIS), Founding Head of the Division of Emerging Interdisciplinary Areas (EMIA), and was the Founding Acting Head of Computational Media and Arts (CMA) at HKUST(GZ). Qu directs the VisLab and coordinates the Human-Computer Interaction (HCI) group. He obtained his BS in Mathematics from Xi'an Jiaotong University and MS/PhD in Computer Science from Stony Brook University. Qu's research integrates Data Visualization , Human-Computer Interaction , and Human-Centered AI , with applications in urban informatics, social networks, and explainable AI. His work focuses on developing interactive systems for big data analytics, visual storytelling, and AI-driven decision support. Research extends to multimodal communication, fintech, and augmented reality applications. His publications emphasize visual analytics for complex datasets (mobility, social media, financial), interaction techniques for immersive environments, and AI-enhanced visualization tools. Recent works explore explainable AI interfaces and large-scale data communication frameworks. IEEE Visualization Academy (2020) IEEE VGTC Technical Achievement Award AI 2000 Most Influential Scholar (2019, 2023, 2024) 21 Best Paper/Honorable Mention awards IBM Faculty Award (2009) APICTA Merit Award (2015) Yelp Dataset Grand Prize (2018) Qu has advised 48 PhD graduates (21 now faculty at institutions like UC Davis, University of Minnesota, Texas A&M) and 30 MPhil students. He secured major grants including RGC theme-based projects (digital citizenship, air pollution), UGC AoE (slope safety), and China's 973 Program. As VisLab director, he leads 20+ researchers in visualization/HCI projects adopted by Microsoft, IBM, Huawei, and Tencent.

• Numerical Analysis
• Partial Differential Equations
• Finite Element Methods
• +۴ مورد دیگر

Olaf Steinbach is a University Professor (Univ.-Prof.) at the Institute of Applied Mathematics at Graz University of Technology. His academic career spans over three decades with continuous research activity from 1992 to the present, including publications scheduled for 2026. He serves as a project manager for several research initiatives including the Special Research Area (SFB) F90 Computational Electric Machine Laboratory, which runs from 2022 to 2026. Professor Steinbach's research interests primarily focus on Numerical Analysis and Computational Mathematics . His work centers around developing and analyzing advanced numerical methods, particularly Finite Element Methods (FEM) and Boundary Element Methods (BEM), for solving partial differential equations (PDEs) and optimal control problems. His research spans both theoretical aspects (such as error analysis, stability, and convergence) and practical applications (including electric machines, electromagnetics, and biomechanics). He has made significant contributions to space-time finite element methods, which treat time as an additional dimension in the discretization process, leading to more robust and efficient solvers for time-dependent problems. Analysis of his recent publications (2021-2026) reveals a strong focus on optimal control problems governed by partial differential equations, with particular emphasis on elliptic, parabolic, and hyperbolic PDEs. His work demonstrates a consistent pattern of developing robust numerical methods with rigorous error analysis, often incorporating regularization techniques to handle challenging constraints. The applications span computational electromagnetics (particularly electric machines), fluid dynamics, and wave propagation problems. His research increasingly incorporates advanced computational techniques including parallel computing and isogeometric analysis. Professor Steinbach has supervised numerous doctoral students and has been actively involved in organizing academic events, including summer schools on Boundary Element Methods. His collaborative network extends across multiple disciplines and institutions, reflecting the interdisciplinary nature of his work in computational mathematics. His research has been supported through multiple significant projects including DK-W1244 Doctoral Program on Partial Differential Equations, the EU CASOPT project on optimization of industrial devices, and the ongoing Special Research Area on Computational Electric Machine Laboratory. These projects demonstrate his leadership in establishing research frameworks that bridge theoretical mathematics with practical engineering applications. Professor Steinbach maintains an active research group within the Institute of Applied Mathematics, collaborating closely with researchers in computational engineering, electrical engineering, and biomechanics. His work on the Computational Electric Machine Laboratory represents a particularly strong interdisciplinary effort combining mathematical theory with electrical engineering applications.

Sun Maosongمشاهده پروفایل

استاد

• Natural Language Processing
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Prof. Maosong Sun is a Professor at the Department of Computer Science and Technology, Tsinghua University, China. He holds additional leadership roles including Executive Vice Dean of the Institute for Artificial Intelligence and Deputy Director of the National Engineering Laboratory for Cyberlearning and Intelligent Technology. His research focuses on natural language processing (NLP), artificial intelligence, machine learning, and computational education. He leads interdisciplinary projects in computational humanities, knowledge graphs, and MOOC platforms like XuetangX, which has over 58.8 million registered learners. Key contributions include pioneering work in Chinese NLP tools, poetry generation systems like Jiuge, and large-scale research initiatives funded by Chinese and Singaporean programs. Awards include the Tsinghua University Education Award (2019) and the National Outstanding Practitioner Award (2007). Established NLP and Computational Humanities & Social Sciences Lab (2008) Co-director of the Joint Research Center for Extreme Search (2011-present) Over 200 publications with 11,000+ citations (h-index 47)

Emanuel Sallingerمشاهده پروفایل

استاد

• Information Systems Engineering
• Computational Logic
• Scalable Artificial Intelligence
• +۸ مورد دیگر

Emanuel Sallinger is a Full Professor at TU Wien's Databases and Artificial Intelligence Group and Vice Dean of Academic Affairs for Business Informatics and Data Science. He leads the Knowledge Graph Lab, focusing on scalable knowledge-based systems, reasoning in knowledge graphs, and AI integration. His research spans computational logic, database theory, and blockchain applications. Education: PhD in Computer Science (awarded 'sub auspiciis praesidentis rei publicae'), Master's degrees in Computational Intelligence and Informatics Management, and a Bachelor's in Software and Information Engineering. Research Interests: Knowledge graphs (construction, reasoning, scalability), logic-based systems, AI/ML integration with databases, enterprise architecture modeling, and financial knowledge systems. His work emphasizes practical applications like enterprise modeling, sustainable waste management, and regulatory compliance. Grants & Projects: Lead Vienna Science and Technology Fund (WWTF)-funded Knowledge Graph Lab. Involved in projects like 'Knowledge Graph-driven Tour Management' (sustainability), 'SustainGraph' (waste processing), and 'Enterprise Architecture Knowledge Graphs'. Teaching: Offers courses on Knowledge Graphs, Generative AI, Database Systems, and research methodology. Supervises doctoral and master's students in AI, databases, and knowledge representation. Labs/Teams: Knowledge Graph Lab at TU Wien, collaborating with industry on blockchain-based systems, financial AI, and enterprise architecture frameworks.

Sylvain Lefebvreمشاهده پروفایل

پژوهشگر

• Computer Graphics
• Texture Synthesis
• Additive Manufacturing
• +۴ مورد دیگر

Sylvain Lefebvre is a permanent researcher at INRIA (Institut National de Recherche en Informatique et en Automatique) in France, where he leads the MFX research team since 2018. Previously, he was part of the ALICE group at INRIA Nancy (2009-2018) and the REVES team in Sophia Antipolis (2006-2009). His career includes a postdoctoral position at Microsoft Research Seattle (2005) following his PhD at INRIA Rhones-Alpes under Fabrice Neyret. His educational background includes a PhD in Computer Graphics from Université Joseph Fourier (Grenoble) in 2005, preceded by a Master in Computer Graphics from INP Grenoble in 2001. His habilitation thesis focused on Runtime Texture Synthesis. Lefebvre's research centers on simplifying content creation for highly detailed patterns, structures, and shapes with applications spanning Computer Graphics to additive manufacturing. He develops fast, controllable by-example synthesis approaches that generate content while enforcing user-specified constraints. His work addresses computational challenges through novel data structures and algorithms optimized for GPUs and FPGAs, including his Silice programming language. The ERC-funded ShapeForge project (2012-2017) advanced shape generation for 3D printing, leading to the IceSL software for digital modeling and fabrication. Analysis of his 15 most recent publications reveals a strong focus on additive manufacturing optimization, with recurring themes in structural integrity, material efficiency, and geometric algorithms. His work bridges computer graphics theory with practical fabrication constraints, particularly in microstructure design, slicing techniques, and mechanical metamaterials. The interdisciplinary nature spans computer science, materials engineering, and robotics. EUROGRAPHICS Young Researcher Award (2010) ERC Starting Grant for ShapeForge project (2012) Lefebvre has advised over 25 PhD students and interns including Marco Freire, Thibault Tricard, and Jimmy Etienne. His ShapeForge project received significant ERC funding, supporting research in computational fabrication. He serves on numerous program committees including SIGGRAPH, Eurographics, and SIGGRAPH Asia, reflecting his leadership in the computer graphics community. As leader of the MFX team since 2018, Lefebvre directs research in computational fabrication, focusing on IceSL software development for 3D printing workflows. The team integrates computer graphics techniques with manufacturing constraints, developing tools that simplify complex object design and fabrication while addressing real-world challenges in material usage and structural integrity.

Ivan Violaمشاهده پروفایل

دانشیار

• Visualization
• Computer Graphics
• Biological Visualization
• +۳ مورد دیگر

Ivan Viola is an Associate Professor at the Institute of Computer Graphics and Algorithms, part of the Faculty of Informatics at TU Wien, Austria. He holds a leave of absence until December 2024 while also being affiliated with King Abdullah University of Science and Technology (KAUST) as an Associate Professor funded by the Vienna Research Groups program. His research focuses on visualization techniques in medicine, biological sciences, and earth sciences, with a specialty in illustrative visualization and DNA-nanotechnology applications. Viola has contributed over 100 scientific works and serves as a reviewer and panelist for major conferences in computer graphics and visualization. Education: M.Sc. (2002) and Ph.D. (2005) in Computer Graphics from TU Wien. Postdoctoral research at the University of Bergen (2006-2011), where he became Full Professor before returning to TU Wien. Research Interests: Whole-cell visualization Molecular modeling Interactive 3D environments Biomedical visualization Data-driven colormap techniques Awards: IEEE VIS 2017 Best Paper Honorable Mention, 'Best Overall Concept' for CellView, and multiple visualization awards. Active in EuroVis and IEEE VIS organizing roles. Grants & Supervision: Leads the Visualization Group at TU Wien, supervising student projects and master’s theses. Involved in grants like the Vienna Research Groups program. Labs/Teams: Visualization Group at TU Wien, collaborating on projects like CellView and Molecumentary.

Nelson Ribeiroمشاهده پروفایل

استاد

• Media History
• Propaganda
• Disinformation
• +۳ مورد دیگر

Nelson Ribeiro is a Full Professor and Vice-Rector for Transformation, Collaboration, and International Affairs at Universidade Católica Portuguesa. He serves as Dean of the Faculty of Human Sciences (2016–2025) and coordinates the Doctoral Program in Communication Sciences and the research group 'Media Narratives and Cultural Memory' at the Center for Communication and Culture Studies (CECC). As a member of Academia Europaea (elected 2023) and ethics committee member at the International Panel on the Information Environment (IPIE), he holds leadership roles in academic governance. His research spans Media history Propaganda and disinformation Media and colonialism Journalism studies Political economy of media . He has authored extensively on radio broadcasting in authoritarian regimes, transnational media history, and disinformation frameworks. Recent publications focus on Media propaganda in the digital age Colonial broadcasting models Political media manipulation Historical radio analysis Crisis journalism Transnational media diplomacy , reflecting his interdisciplinary approach to communication history. Scientific accolades include: 2022 Hoover Institution Fellowship 2022 CAPES-Brazilian University Grant 2015 University of Augsburg Fellowship 2004 & 2000 Institute for Social Communication Prizes . He founded the Lisbon Winter School for Communication Study, partnering with global institutions like Annenberg and Helsinki University.

Rafail Ostrovskyمشاهده پروفایل

استاد

• Algorithms
• Cryptography and Computer Security
• Theoretical Computer Science
• +۳ مورد دیگر

Rafail Ostrovsky is a Professor of Computer Science and Mathematics at UCLA , affiliated with the Center for Information and Computation Security at the Henry Samueli School of Engineering and Applied Science. He earned his Ph.D. in Computer Science from MIT in 1992 under Silvio Micali. Research Focus: His work spans cryptography, algorithms, and theoretical computer science, emphasizing secure multi-party computation, zero-knowledge proofs, oblivious RAM, and high-dimensional data analysis. Applications include privacy-preserving data mining, systems security, and quantum cryptography. Article Trends: Recent publications address concurrent security protocols, robust secret sharing via expander graphs, and efficient multi-party computation. Topics intersect computational complexity, cryptographic reductions, and practical security implementations. Awards: Recipient of the 2018 RSA Conference Excellence in Mathematics Award , 2017 IEEE Fellow , and multiple IEEE/ACM honors. Holds 14 U.S. patents and over 290 refereed papers. Advising: Supervised 27 Ph.D. students, many now professors at top institutions. Served on 40+ program committees, including FOCS 2011 Chair. Labs: Leads the CICS research center, fostering interdisciplinary work in information security and cryptographic systems.

Jürgen Teichمشاهده پروفایل

استاد

• Embedded system design
• Hardware/software co-design
• Design space exploration
• +۶ مورد دیگر

Jürgen Teich is a Professor at the Department of Computer Science of Friedrich-Alexander University Erlangen-Nuremberg since 2003, holding the Chair for Hardware/Software Co-Design. He has held academic positions at ETH Zurich (Lecturer, 1995-1998), University of Paderborn (Full Professor in Computer Engineering, 1998-2002), and UC Berkeley (Postdoctoral Fellow, 1994). Current coordinator of DFG-funded Collaborative Research Center 89 'Invasive Computing' (2010-present) Former coordinator of DFG Priority Program 1148 'Reconfigurable Computing Systems' (2003-2009) Senior IEEE Member and author of two Springer textbooks on Co-Design (2007, 2010) Research Interests : Embedded systems and hardware/software co-design Massively parallel computing architectures Design automation and optimization techniques Reconfigurable computing systems Scientific Recognition : 5+ Best Paper Awards (2002-2010) HiPEAC Paper Awards at DAC and FCCM (2009-2010) Elected reviewer for DFG (2004-2008, 2007-2011) Prof. Teich supervises over 30 PhD students and participates in interdisciplinary DFG projects and industrial collaborations. He has served on multiple program committees of leading conferences in computer architecture and embedded systems.

Wu Jieمشاهده پروفایل

استاد

• Mobile Computing
• Wireless Networks
• Cloud Computing
• +۵ مورد دیگر

Dr. Jie Wu is the Laura H. Carnell Professor and serves as Director of the Center for Networked Computing at Temple University's Department of Computer and Information Sciences. He has held leadership roles including Chair of the department (2009-2016), Associate Vice Provost for International Affairs (2015-2017), and Director of International Affairs in the College of Science and Technology. Previously, he was a distinguished professor at Florida Atlantic University (1989-2009) and held NSF program director roles (2007-2009). Education: PhD in Computer Engineering, Florida Atlantic University (1989) MSc in Computer Science, Shanghai University of Science and Technology (1985) BSc in Computer Science, Shanghai University of Science and Technology (1982) Research focuses on mobile/wireless networks, cloud computing, distributed systems, and cybersecurity. He has led NSF-funded projects and pioneered protocols for ad hoc networks. His work integrates machine learning with network trust mechanisms. Awards highlight his contributions: AAAS/IEEE Fellowships, ACM Distinguished Membership, and multiple best paper recognitions. He chairs major conferences like IEEE MASS and ICDCS, and serves on editorial boards for IEEE Transactions on Mobile Computing and others. Professional service includes leadership roles in IEEE Technical Committees, CCF (Chinese Computer Federation), and organizing over 20 international conferences. His lab at Temple University drives innovations in networked systems and distributed computing.

Martina Wernerمشاهده پروفایل

پژوهشگر ارشد

• Morphology
• Grammar Theory and Language Change
• Historical Linguistics
• +۷ مورد دیگر

Martina Werner is a Senior Postdoc and Research Fellow at the Austrian Centre for Digital Humanities (ÖAW), affiliated with the Institute of German Studies at the University of Vienna's Faculty of Philology and Cultural Studies. She holds a habilitation in German Linguistics from the University of Vienna (2019) and a PhD from LMU Munich (2009). Her academic appointments include visiting professorships at Universität Würzburg (2024–2025) and LMU Munich (2019–2020), along with a guest professorship at the University of Vienna (2017/2018). Research Focus: Werner specializes in morphology, historical linguistics, and corpus-based approaches. Her work explores grammar theory, language change, syntax-morphology interfaces, and digital humanities methodologies. Current projects include FWF-funded research on relational adjectives in historical German (RAHiG) and the diachrony of nominalized infinitives. Publication Trends: Her recent articles (2016–2025) predominantly analyze diachronic morphology in German, focusing on nominalization patterns, compound structures, and suffix evolution. Corpus linguistics methodologies underpin her investigations into grammaticalization, language variation, and comparative Germanic linguistics. A strong interdisciplinary thread connects linguistic theory with empirical data analysis. Awards & Grants: FWF Project Funding: RAHiG – Relational Adjectives in the History of German (2019–2026) Elise Richter Project Grant: Diachrony of the Nominalized Infinitive in German (2014–2019) LMUMentoring Excellence Program (2008–2011) HWP Doctoral Scholarship (2005–2006) Academic Service: Werner co-leads research teams at ÖAW's Digital Humanities Centre, collaborates internationally on Germanic linguistics projects, and supervises academic initiatives through the Vienna Linguistic Society. Her teaching covers historical linguistics, morphology, and language development at undergraduate and graduate levels.

Torsten Hoeflerمشاهده پروفایل

استاد

• Deep learning Systems
• Parallel programming models
• High performance and datacenter networking
• +۸ مورد دیگر

Torsten Hoefler is a Full Professor of Computer Science at ETH Zurich, Switzerland, with an adjunct appointment in Electrical Engineering. He previously held roles at the National Center for Supercomputing Applications (University of Illinois at Urbana-Champaign) and Indiana University. Full Professor of Computer Science, ETH Zurich (2020–present) Adjunct Professor of Electrical Engineering, ETH Zurich (2020–present) Member at Large, ACM SIGHPC Executive Committee (2013–present) Leadership roles in the MPI Forum and Blue Waters project His research focuses on performance-centric system design , with emphasis on scalable networking, parallel programming models, and performance modeling. Key contributions include the Slim Fly network topology, Data-Centric Python framework, and innovations in parallel graph computations and RDMA-based systems. Recent publications span topics like LLM training networks , quantization geometry , chiplet interconnects , and AI-driven climate modeling , reflecting his interdisciplinary approach combining HPC, AI, and hardware-software co-design. ACM Gordon Bell Prize (2019) ERC Consolidator Grant (2020) IEEE TCSC Award for Excellence (2019) SIAM SIAG/SC Junior Scientist Prize (2012) Latsis Prize of ETH Zurich (2015) He has received multiple best paper awards at top conferences (SC10, SC13, SC14, SC19, IPDPS'15, HPDC'15, OOPSLA'16) and contributed to MPI-3 standardization.

• Visual Analytics
• Information Visualization
• Human-Computer Interaction
• +۵ مورد دیگر

Alexander Rind is a full-time Researcher at the University of Applied Sciences St. Poelten , affiliated with the School of Media and Digital Technologies and the Media Computing Research Group . He holds an MSc in Business Informatics from Vienna University of Technology, University of Vienna, and Lund University. Education : 1998-2004 MSc in Business Informatics His research interests span Visual Analytics , Information Visualization , and Human-Computer Interaction , with specialization in time-oriented data analysis , electronic health records visualization , and multimodal analytics . Recent projects focus on integrating sonification with visualization for enhanced data exploration. Key publication trends reveal expertise in temporal data modeling , multimodal analytics , and domain-knowledge integration for healthcare and social work applications. His work includes TimeBench (open-source time-oriented data library) and tools like easyBiograph / easyNWK for social diagnostics. He actively contributes to scientific communities as program committee member for IEEE VIS, EuroVis, and journals like TVCG, while developing visual analytics systems for clinical gait analysis, media transparency, and industrial manufacturing.

Donatella Sciutoمشاهده پروفایل

استاد

• Electronic Design Automation
• Embedded Systems
• Multiprocessor Systems
• +۵ مورد دیگر

Donatella Sciuto is a Full Professor of Computer Science and Engineering at Politecnico di Milano, serving as Executive Vice Rector overseeing research strategies. She holds a PhD from the University of Colorado, Boulder and an MBA from Bocconi University. Her research focuses on embedded systems design, low-power electronics, and cyber-physical systems, with contributions to smart cities and ICT infrastructure. Education: Bachelor's in Electronic Engineering, Politecnico di Milano (1984) PhD in Electrical and Computer Engineering, University of Colorado, Boulder MBA, SDA Bocconi School of Management Research Interests: Embedded systems, multiprocessor architectures, hardware/software co-design, power-efficient computing, and building automation via IoT technologies. She leads the Embedded Systems Design research group at Politecnico di Milano and coordinates EU-funded projects in smart cities and reconfigurable systems. Awards: IBM Women Leaders in AI (2021) IEEE Fellow (2011) EDAA Fellow (2010) Outstanding Contribution Award, IEEE Computer Society (2009) Professional Roles: Board Member: Bank of Italy, Istituto Italiano di Tecnologia, STM, Avio Former President, IEEE Council of Electronic Design Automation (2011-2013) Executive Committee Member, Design Automation and Test in Europe (DATE) conference Labs/Teams: Leads the Embedded Systems Design and Design Methodologies group at Politecnico di Milano, collaborating with CEFRIEL on executive education programs in embedded systems and IoT.

Stefan Esdersمشاهده پروفایل

استاد

• Late Antique History
• Early Medieval History
• Legal History
• +۱۰ مورد دیگر

Stefan Esders is Professor of Late Antique and Early Medieval History at Freie Universität Berlin's Friedrich Meinecke Institute, where he has held a full professorship since 2006. Previously, he served as University Lecturer in Ancient and Medieval History at the University of Bochum (2000-2006) and Assistant Professor of Medieval History there (1995-2000). His academic journey began with studies in History and Classics at Heidelberg, Freiburg, and Oxford, culminating in a state exam in 1990 and a doctoral dissertation in 1993 with summa cum laude. His educational background includes: 1982-1990: History and Classics (Latin) at Heidelberg, Freiburg, and Oxford 1990: State exam 1991-1993: Doctoral Fellow in Ancient History, University of Freiburg 1993: Dissertation 'Römische Rechtstradition und merowingisches Königtum' (summa cum laude) 1993-1994: Postdoctoral Fellow, Max-Planck-Institute for History, Göttingen 1994-1995: Postdoctoral Fellow, University of Münster 2004: Habilitation in Medieval History and Auxiliary Sciences, University of Bochum Esders' research focuses on the transformations of late Roman culture across Visigothic Spain, Lombard Italy, and Merovingian Gaul, with particular emphasis on legal history, Mediterranean communication (400-900 CE), and the history of oaths in antiquity and the Middle Ages. His work bridges institutional, social, and cultural history, examining how legal texts and practices shaped political legitimacy and social structures during the transition from antiquity to the early Middle Ages. He has made significant contributions to understanding the reception of Roman law in post-Roman kingdoms and the development of early medieval legal pluralism. His recent publications reveal a consistent focus on legal texts, oath practices, and political legitimacy across the early medieval Mediterranean world. Esders demonstrates how legal traditions were adapted and transformed as Roman imperial structures gave way to regional kingdoms, with particular attention to the interplay between ethnic identity, religious affiliation, and legal practice. His work increasingly employs comparative approaches, examining parallel developments across different regions of the former Roman Empire to reveal broader patterns of continuity and change. His scholarly recognition includes: Corresponding Member, Monumenta Germaniae Historica (2019-present) Fellow, Humanities Council and Program in Medieval Studies, Princeton University (2019) Member, Institute for Advanced Study, Princeton (2013) Ordentliches Mitglied der Academia Europaea (since 2021) Distinguished Fellow of the Hebrew University of Jerusalem (2025/26) Corresponding Fellow of the Medieval Academy of America (since 2025) As an active scholar, Esders serves on editorial boards including Speculum. A Journal of Medieval Studies and has edited numerous volumes on early medieval legal history. He has been instrumental in collaborative research projects examining Mediterranean connectivity in the early Middle Ages and has supervised numerous doctoral students. Currently, he serves as speaker of the doctoral program 'Ancient Histories, Languages and Texts' within the Berlin Graduate School of Ancient Studies. His work is characterized by meticulous textual analysis combined with broader theoretical frameworks examining political legitimacy, legal pluralism, and the transformation of social structures during the crucial period between the 5th and 10th centuries CE. Esders maintains active international collaborations, particularly with scholars in Mediterranean countries, reflecting his focus on cross-regional connections during the early medieval period.