Yihan Sun is an Assistant Professor at the University of California, Riverside (UCR) since January 2020. He earned his Ph.D. in Computer Science from Carnegie Mellon University (CMU) , advised by Guy Blelloch , and holds a Bachelor's degree in Computer Science from Tsinghua University . Research Interests: Yihan Sun focuses on the theory and practice of parallel computing , including Parallel algorithms and data structures Write-efficient algorithms for Non-Volatile Memory (NVM) Computational geometry (range trees, Delaunay triangulations) Graph algorithms (SSSP, SCC, cluster-based BFS) Concurrent and persistent data structures Multi-version concurrency control (MVCC) with garbage collection Applications in databases, transactional systems, and computational biology Recent Research Trends: His work on join-based parallel balanced trees has been foundational, supporting four balancing schemes (AVL, red-black, weight-balanced, treaps) and enabling efficient implementations in graph analytics, spatial queries, and dynamic programming. Recent publications focus on output-sensitive algorithms , scalable graph libraries (PASGAL) , and pedagogical approaches to teaching parallel algorithms. Teaching: He teaches CS260 (Parallel Algorithms) at UCR and has served as a guest lecturer for MIT 6.886 (Algorithm Engineering) and CMU 15-859 (Algorithms in the real world) . He also contributed to algorithm education through a tutorial at the ACM Symposium on Principles and Practice of Parallel Programming (PPoPP 2019) . Labs & Collaborations: Yihan is a core contributor to the PAM (Parallel Augmented Maps) library, which has been integrated into systems like Aspen (graph-streaming) and C-trees . He collaborates with teams at CMU-Parlay , PBBS , and Ligra , with his code available on Github for community feedback.
Julian Shun is an Associate Professor at the Massachusetts Institute of Technology (MIT) in the Department of Electrical Engineering and Computer Science (EECS) and a principal investigator in the Computer Science and Artificial Intelligence Laboratory (CSAIL). Previously, he was a Miller Research Fellow at UC Berkeley and earned his Ph.D. from Carnegie Mellon University under Guy Blelloch. His research focuses on parallel and high-performance computing, with emphasis on graph analytics, spatial/graph clustering, and dynamic algorithms. He designs algorithms with theoretical guarantees and empirical efficiency, along with high-level programming frameworks to simplify parallel code development. His work spans cache-oblivious, external-memory, and streaming graph algorithms, addressing scalability and performance across diverse computational architectures. Julien's recent publications highlight advancements in parallel graph traversal, dynamic connectivity, and approximation algorithms for centrality metrics. His research also explores domain-specific languages like GraphIt for graph analytics and frameworks such as Julienne for work-efficient bucketing. Scientific Awards: Miller Research Fellow at UC Berkeley He has taught graduate-level courses at MIT, including 6.506 (Algorithm Engineering) and 6.886 (Graph Analytics), emphasizing theoretical foundations, experimental analysis, and open-ended research projects.
Changyang Li serves as a University teacher in the Department of Mechanical Engineering at LUT University's School of Energy Systems in Lappeenranta, Finland. His institutional contact includes email Li.Changyang@lut.fi and phone +358 50 301 7482. Dr. Li's research specializes in robotics for nuclear fusion infrastructure, with emphasis on remote maintenance systems for tokamak reactors. His work addresses critical engineering challenges in vacuum vessel assembly, port-based maintenance, and heavy-duty manipulator design for next-generation reactors like DEMO and CFETR. Key methodologies include multi-objective optimization, kinematic mechanism analysis, and data-driven modeling of robotic systems operating in high-radiation environments. Analysis of his 15 publications (2019-2025) reveals concentrated expertise in DEMO reactor maintenance robotics, particularly mobile parallel mechanisms and cable-driven systems. His research demonstrates consistent focus on enhancing remote maintainability through innovations in elephant trunk robots, port closure tools, and in-situ machining solutions, directly supporting international fusion energy initiatives. No scientific awards are documented in available sources. No information is available regarding student supervision or research grant acquisitions. Specific laboratory affiliations or research team structures are not disclosed in the source materials.
Dr. Susanne Ehrich (born 1977) is a Research Fellow and academic coordinator at the Institute of History , University of Regensburg , since 2012. As academic coordinator of the Forum Mittelalter since 2007, she specializes in interdisciplinary medieval research with focus on apocalyptic commentaries , German religious poetry , and text-image analysis . She co-edits the Forum Mittelalter-Studien series. Education: German Studies, Catholic Theology, Romance Studies (Regensburg & Pisa, 2002); First State Examination for secondary school teaching; German as a Foreign Language Certificate Research Interests center on medieval eschatological frameworks, vernacular biblical poetry, and the interplay between textual and visual media in apocalyptic traditions. Her work examines how religious texts were adapted across Teutonic Order communities and urban contexts. Publications focus on Middle High German apocalypse manuscripts, urban cultural analysis, and interdisciplinary methodologies. Key trends include text-image relationships , didactic elements in religious poetry , and eschatological historiography . Scientific Awards: Doctoral grant from the Cusanuswerk (Bishop's Study Fund, 2003–2007) Editorial Roles: Co-editor of Forum Mittelalter-Studien series since 2009; collaborative projects with Prof. Dr. Jörg Oberste and other medievalists.
Zhou Tong serves as an Assistant Professor in the Computer Science Department at Wheaton College in Norton, MA. His academic foundation includes a Ph.D. in Computer Science from Florida State University and a B.S. in Computer Science from Millsaps College. His educational background: Ph.D. in Computer Science, Florida State University B.S. in Computer Science, Millsaps College Dr. Tong specializes in parallel computing and high performance computing (HPC), with significant contributions to performance modeling of HPC applications, workload characterization, and interconnect topology design. His secondary research domains include Machine Learning and Natural Language Processing, where he explores computational efficiency in data-intensive systems. His publication record reveals a concentrated focus on HPC networking innovations from 2016-2021, particularly in adaptive routing algorithms for dragonfly topologies, software-defined networking integration, and MPI application classification using logical clocks. These works consistently address performance optimization challenges in large-scale parallel computing environments. No scientific awards are documented in the available materials. Information regarding student advising, research grants, and laboratory facilities remains unspecified in current records.
Troels Schultz Larsen is an Associate Professor in the Department of Social Sciences and Business at Roskilde University, specializing in Social Dynamics and Change. With a PhD and MSc in Public Administration, he has been with Roskilde University since 2005, progressing from PhD fellow to his current position as Associate Professor since 2014. His work focuses on urban sociology, territorial stigmatization, and the dynamics of marginalized urban areas within the Danish welfare state context. Dr. Schultz Larsen's academic journey includes: 2014-Present: Associate Professor, Department of Social Sciences and Business, Roskilde University 2009-2014: Assistant Professor/Post-Doc, Department of Society and Globalization, Roskilde University 2005-2009: PhD Fellow, Department of Society and Globalization, Roskilde University 1998-2005: MSc (Public Administration equivalent), Department of Social Science, Roskilde University Identifying his theoretical position as "Historically-Specific Praxis-Theory," Dr. Schultz Larsen draws inspiration from Bourdieu, Wacquant, Gramsci, and other critical theorists. His research spans urban sociology, territorial stigmatization, welfare state dynamics, and public innovation. He examines how marginalized urban areas are produced and maintained through intersecting social, economic, and political processes, with particular attention to the Danish context and its "ghetto list" policies. His work challenges simplistic interpretations of urban marginality, emphasizing the complex interplay between housing markets, labor markets, education systems, and family structures in reproducing spatial inequalities. Dr. Schultz Larsen's recent publications reveal a deepening focus on territorial stigmatization as both a theoretical concept and practical policy issue. His 2024-2025 work, including the book "Fragmenting Cities: The State, Territorial Stigmatization and Urban Marginality," develops a comprehensive framework for understanding how state policies actively produce spatial inequalities. He critically analyzes Denmark's controversial "ghetto list" policy, demonstrating how such classifications function as mechanisms of dehumanization and social exclusion. His research increasingly adopts comparative perspectives, connecting Danish urban marginality to broader European and global patterns of spatial inequality. Dr. Schultz Larsen's scholarly contributions include: Active participation in major research projects including EU-HORIZON24's RURALITIC Membership in the Royal Danish Academy (2025-2027) Extensive media engagement on urban policy issues With over 15 years of teaching experience at Roskilde University, Dr. Schultz Larsen has supervised numerous student projects across social sciences, politics, and public administration. His supervision spans diverse topics including urban policy, social integration, housing, labor market policies, and public innovation. He has been involved in several significant research grants, most notably as a participant in the CLIPS project (Collaborative Innovation in the Public Sector), a major multi-institutional collaboration examining innovation in public services. His current research includes the EU-HORIZON24 project RURALITIC and the BOSID project on housing stigmatization in Denmark. Dr. Schultz Larsen is actively involved in research networks focused on urban marginality and territorial stigmatization. He collaborates closely with Dr. Katrine Nørgaard Delica on multiple projects and publications, including their forthcoming book "Fragmenting Cities." His work with the North Seeland Police Department on the "TRYK Politi" initiative represents a significant practice-oriented research partnership examining citizen engagement in crime prevention. As a member of the Royal Danish Academy (2025-2027), he contributes to national scholarly discussions on urban policy and social governance.
Yang Song is an incoming Assistant Professor in Electrical Engineering and Computing and Mathematical Sciences at the California Institute of Technology (Caltech). Prior to joining Caltech, he leads the Strategic Explorations team at OpenAI. He received his Ph.D. in Computer Science from Stanford University under the supervision of Stefano Ermon and completed his Bachelor's degree in Mathematics and Physics from Tsinghua University. His educational background includes: Ph.D. in Computer Science, Stanford University Bachelor's in Mathematics and Physics, Tsinghua University Dr. Song's research focuses on building powerful AI models capable of understanding, generating, and reasoning with high-dimensional data across diverse modalities. He is particularly known for inventing foundational concepts and techniques in score-based diffusion models, which have revolutionized the field of generative AI. His work bridges theoretical advances with practical applications, particularly in image generation, medical imaging, and solving inverse problems. His research has demonstrated how score-based models can achieve state-of-the-art results in image generation while maintaining flexibility for various applications including medical image reconstruction. Analysis of his publication record reveals a strong trajectory in generative modeling, with a particular emphasis on score-based approaches and diffusion models. His work consistently addresses fundamental challenges in generative modeling including sample quality, training stability, computational efficiency, and application to real-world problems. His most recent work on consistency models represents a significant advancement toward making generative models practical for real-time applications. His notable achievements include: ICLR 2021 Outstanding Paper Award for Score-Based Generative Modeling through Stochastic Differential Equations NeurIPS 2021 Spotlight Presentation for Maximum Likelihood Training of Score-Based Diffusion Models Multiple ICLR Oral presentations for his work on consistency models Developing foundational techniques that power many modern AI image generation systems His GitHub repository for score-based generative modeling has gained significant traction in the research community, with over 1,700 stars, reflecting the impact of his work. His research bridges theoretical machine learning with practical applications, particularly in medical imaging where his techniques have shown promise for improving image reconstruction in CT and MRI.
Professor Ziad Elmarsafy serves as Professor of Arabic and Comparative Literature at the University of St Andrews, where he is affiliated with the School of Modern Languages and the Arabic and Persian Centre for the Critical Reimagining of Human Rights. His academic profile demonstrates a strong commitment to postgraduate research supervision as indicated by his status as 'Accepting Postgraduate Research Students.' Elmarsafy's research profile reveals a distinctive intellectual fingerprint spanning French Arts and Humanities (100%), Esoteric Islam (75%), Sufism (75%), Idol Studies (75%), Koran/Qur'anic Studies (75%), Genre Theory (37%), and Autobiography (37%). His scholarly work bridges Arabic literature, French intellectual history, and religious studies with particular emphasis on esoteric dimensions of Islamic thought. His research output demonstrates consistent engagement with the intersection of literature, religion, and political thought. Analysis of his 23 research outputs shows a consistent pattern of scholarly contributions exploring the relationships between Islamic thought and Western intellectual traditions, particularly French philosophy. His publications reveal significant attention to translation studies, postcolonial theory, and the representation of Islamic concepts in Western contexts. The thematic coherence across his work demonstrates a sustained intellectual project examining how Islamic thought has been interpreted, translated, and reimagined in modern European contexts. Professor Elmarsafy maintains an active role in the academic community through editorial work and peer review activities. His service includes reviewing manuscripts for prestigious journals such as MLN, Religiographies, Forum for Modern Language Studies, Journal of Arabic Literature, and Middle Eastern Literatures. Since 2023, he has served on the editorial board of Forum for Modern Language Studies, demonstrating his standing within the scholarly community.
Matthew K. Tam is an Associate Professor at the School of Mathematics and Statistics, The University of Melbourne, specializing in Operations Research. He is also an investigator at the Melbourne Centre for Data Science and an associate investigator in the ARC Training Centre OPTIMA. PhD in Mathematics (2016) from University of Newcastle under Jonathan Borwein Postdoctoral research at University of Göttingen with RTG-2088 and Alexander von Humboldt Foundation Junior Professor at University of Göttingen (2017-2020) His research focuses on continuous optimization, monotone operator theory, and variational analysis, with applications in wavelet construction and inverse problems. Key trends include distributed algorithms, resolvent splitting, and convergence analysis for feasibility problems. Discovery Early Career Researcher Award (DECRA) Alexander von Humboldt Fellowship He collaborates with institutions like ANZIAM, Springer, and IEEE, with publications spanning mathematical optimization, harmonic analysis, and computational mathematics. His work emphasizes algorithmic design for complex data systems and real-world applications in imaging and industrial modeling.
Chongyi Feng is Associate Professor in China Studies at the University of Technology Sydney (UTS) and adjunct Professor of History at Nankai University, Tianjin. He served as head of China Studies at UTS for 11 years from 1995-2006. As China's first holder of PhD in contemporary Chinese history, he brings unique expertise to his position within the Faculty of Design and Society's Social and Political Sciences department. Dr. Feng's research focuses on intellectual and political development in modern and contemporary China, political economy of China's provinces, and the growth of rights consciousness and democratic forces leading to constitutional democracy. His work explores the intellectual and political changes within China, particularly examining the evolution of democratic thought and practice. His scholarship bridges historical analysis with contemporary political developments, providing critical insights into China's political trajectory. His recent publications demonstrate a consistent focus on Chinese political development, democracy movements, and the CCP's internal dynamics, with particular attention to the challenges of authoritarian resilience and democratic transition. His work also critically examines China's international relations, particularly the methods of Chinese 'soft power' projection in democratic societies like Australia. Named one of the hundred Chinese public intellectuals in the world since 2005 Author of numerous influential books including 'China's Constitutional Transformation' (2014) and 'Liberalism within the CCP' (2009) Editor of significant collections including 'The Political Economy of China's Provinces' (1999) Recipient of multiple ARC research grants focusing on Chinese democracy and political development Dr. Feng has actively engaged with media and public discourse, particularly regarding China-Australia relations and human rights issues. His personal experience being detained by Chinese officials in March 2020 for ten days while conducting research on Chinese human rights lawyers has informed his critical perspective on Chinese state power and its international reach.
Alireza Poshtkohi is an interdisciplinary researcher at the University of Hertfordshire , affiliated with the School of Physics, Engineering & Computer Science and the Department of Computer Science . He applies computational and mathematical approaches to neuroscience, physics, and engineering challenges, focusing on modeling the human nervous system and brain diseases at the cellular level using supercomputing technologies. Education: PhD in Neuroscience (Ulster University, 2023), MSc in Parallel Simulation of Electronic Systems (Shahed University, 2011), BSc in Embedded Systems and Computer Networks (2006). His research spans computational neuroscience , mathematical modeling , and high-performance computing , with publications on microglia dynamics, P2X receptors, and parallel system modeling. Recent work includes a 2024 study on the PI3K/Akt pathway and a 2023 book on distributed systems. He collaborates with experimental neuroscientists from the University of Reading and Michigan State University , integrating molecular neurobiology with computational frameworks. His technical expertise includes grid computing, cybersecurity, and simulation environments.
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.
Dr. Boris Paschke serves as a Guest Associate Professor of New Testament at the Evangelische Theologische Faculteit Leuven . Holding a Ph.D. in New Testament Studies from ETF Leuven (2009), he has been actively engaged in theological education since 2001, teaching at ETF Leuven and in public secondary schools in Brussels. Ph.D. in New Testament Studies (ETF Leuven, 2009) Licentiaat in de godgeleerdheid (M.Th., ETF Leuven, 2004) M.A. in Biblical Studies (University of Gloucestershire, 2001) Paschke's research focuses on New Testament theology , apocryphal literature , and early Christian worship practices , particularly prayer to Jesus and the Holy Spirit. His work explores intertextuality (e.g., Song of Songs in Romans 3), historical contexts (Roman censorship, slavery), and theological intersections between Christianity and Islam. Recent publications highlight trends in liturgical theology (2024 analyses of 1 Timothy 1:12 and Peräa), prayer studies (2023 essays on Tertullian and 2 Timothy 1:18), and historical criticism (2016-2022 works on Semler, Acts of John, and Philemon). He participates in multiple academic societies, including the Society of Biblical Literature and the Association pour l’étude de la littérature apocryphe chrétienne , and has co-authored works on ancient speech impediments (2016, 2023).
Armin D. Baum is Professor of New Testament at the Freie Theologische Hochschule (FTH) Giessen (since 2010) and has additionally served as Prorector for Research since 2016. He is also Adjunct Professor in the doctoral programme of the Evangelical Theological Faculty, Leuven (Belgium) and was Visiting Professor at the Theological University Kampen (Netherlands) from 2012-2017. Education 1993 – Dr. theol., Theological University Kampen, Netherlands 1990 – Drs. theol., Theological University Kampen, Netherlands 1989 – M.Div., Freie Theologische Akademie, Giessen, Germany 1984 – Abitur, Elsa Brändström-Schule Hannover, Germany Research Focus Baum’s scholarship centres on the historical reliability of the New Testament writings , the formation of the biblical canon , and literary questions of authorship, anonymity and pseudepigraphy . A second strand of research engages contemporary ethical debates , producing detailed exegetical studies on homosexuality, women in ministry and sexual ethics. His methodological interests include the historical-critical method , the relationship between faith and historical scholarship, and the use of ancient historiographical conventions in the Gospels. Publications & Trends Across more than 120 scholarly works, Baum consistently explores how ancient literary and rhetorical conventions shape the New Testament text. Recent monographs such as Einleitung in das Neue Testament (2017) and edited volumes like Kernthemen neutestamentlicher Theologie (2022) consolidate decades of research on Gospel genre, Pauline authenticity, and canon theology. His 2024 articles extend this trajectory by addressing anonymity in Hebrews and the Catholic Epistles and by offering exegetical foundations for evangelical sexual ethics. Professional Memberships & Awards Society for New Testament Studies (SNTS) Society of Biblical Literature (SBL) Institute for Biblical Research (IBR) Tyndale Fellowship (TF) Rhein-Main-Exegesetreffen Coordinator, New Testament Study Group of the Arbeitskreis für evangelikale Theologie (AfeT) Advising & Research Leadership As Dean of Research (2012-2016) and Prorector for Research (2016-), Baum oversees doctoral training at FTH Giessen and mentors candidates in New Testament and canon studies. He has directed externally funded projects on the origins of the New Testament canon and regularly convenes colloquia for doctoral students and international guests.
Leif Andersson is a Professor at Uppsala University's Department of Medical Biochemistry and Microbiology, leading a research group focused on functional genomics in domestic animals and fish. His work bridges genetics, ecology, and evolutionary biology to explore phenotypic variation and adaptation. His research includes comparative genomics of domesticated species, identifying mutations linked to traits like horse gaits , chicken comb morphology , and herring ecological adaptation . Recent studies highlight genetic mechanisms in species such as corn snakes , Grey horses , and Darwin's finches , emphasizing environmental interactions and molecular pathways. Key article trends include supergenes in herring adaptation, RNA-binding proteins in cancer and development, and mutation-discovery in domesticated animals. His group's work spans genetic variation , ecological pressures , and evolutionary genetics . Students in his group include Arianna Cocco Ryan Joseph Daniels Jake Goodall Zheng Li Cheng Ma Giulia Maestri Fahime Mohamadnejad Sangdehi Mats Pettersson Matteo Sebastianelli Leyi Su Dandan Wang His contact details include the email Leif.Andersson@imbim.uu.se and phone number 070-425 02 33 , with an office at BMC, Husargatan 3, Uppsala.
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