Katahira Kenji is an Associate Professor at the School of Humanities and Social Sciences , Osaka University, with research spanning music psychology , emotion physiology , and Kansei informatics . His work bridges Cognitive neuroscience Human-computer interaction Design psychology Key research themes include flow experiences , emotional piloerection , and nonverbal communication in musical ensembles . He developed EEG-based flow state measurement 3D shape evaluation models Emotional response frameworks for sound and design His scientific contributions include Good Design Award (2014) ICMPC10 Travel Award (2008) Multiple best paper awards from Japanese academic societies Recent projects focus on Neural basis of voluntary piloerection Physiological measurement systems for peak experiences Kansei evaluation models for textures and 3D designs with grants from the Japan Society for the Promotion of Science.
Naoki Yamamoto is an Assistant Professor (non-tenure lecturer) at Waseda University's School of Fundamental Science and Engineering, Department of Computer Science and Engineering since April 2025. He also holds a part-time lecturer position at the University of Tokyo's College of Arts and Sciences (Junior Division) since October 2025. Previously, he served as a Research Associate at Waseda University from April 2022 to March 2025. He received his Doctor of Engineering from Waseda University in March 2025, following his Master of Engineering (2021) and Bachelor of Engineering (2019) from the same institution. Dr. Yamamoto's educational background is impressive, having earned his Bachelor's, Master's, and Doctoral degrees consecutively from Waseda University's School of Fundamental Science and Engineering. During his doctoral studies under Professor Kazunori Ueda, he focused on advanced topics in programming languages and graph theory. He was awarded the Outstanding Student Award (Dean's Award) from Waseda University in March 2019. His research interests center around graph-based programming language theory, with particular expertise in Graph Pattern Matching , Static Type Checking for complex data structures , and Graph Rewriting Languages . He has developed innovative approaches to handling graph structures that go beyond traditional algebraic data types like lists and trees. His work bridges theoretical computer science with practical implementation, focusing on how to safely manipulate complex graph structures in programming languages. His publication record demonstrates consistent advancement in graph-based type systems. Starting with foundational work on static type checking for graph operations (2019), he progressed to handling numeric constraints (2020), extending type expression power (2022), and developing grammar-based approaches for difference data structures (2024). His research shows a clear trajectory from theoretical foundations to practical applications, with increasing sophistication in handling complex graph structures. His work on LMNtal ShapeType represents a significant contribution to the field of graph rewriting languages. Outstanding Student Award (Dean's Award), Waseda University (2019) Dr. Yamamoto has been actively involved in teaching and research supervision, having served as a Teaching Assistant for 14 courses between 2018-2021. He currently teaches Introduction to C Programming and C Application Development at Waseda University, and Introduction to Algorithms at the University of Tokyo. He has received research funding through the Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research, collaborating with Professor Kazunori Ueda on projects related to high-level languages with powerful data structures and concurrency. As a member of Ueda Laboratory at Waseda University, Dr. Yamamoto has contributed to the development of tools like Lambda Friends, a web-based interpreter for lambda calculus written in TypeScript. His research group focuses on advancing programming language theory, particularly in the areas of graph rewriting and type systems, with applications in both programming languages and modeling languages. His work demonstrates how graph rewriting languages can unify program execution and model checking functionalities while guaranteeing well-formedness of graph structures.
Nozomi Fujikawa is a Research Associate at Waseda University's Center for Higher Education Studies, focusing on educational technology and teaching assistant (TA) support in active learning environments. Her research spans active learning methodologies , group discussion facilitation , and assistive technologies for accessibility. Education: PhD candidate at Waseda University Graduate School of Human Sciences (since 2022) Master's in Human Sciences, Waseda University (2020–2022) Bachelor's in Human Sciences, Waseda University (2013–2017) Research Themes: Fujikawa's work emphasizes enhancing TA roles in collaborative learning environments and developing smart systems for disability support, including parking and barrier-free infrastructure. Her publications in journals like Rehabilitation Engineering and conferences such as CSCL highlight her interdisciplinary approach. Recent Trends: Recent papers (2024–2025) focus on learning environment design processes , TA training frameworks , and technology-driven accessibility solutions . These reflect her dual expertise in educational innovation and inclusive technology development. Professional Contributions: She serves on the Japan Society for Educational Technology's Priority Areas Learning Environment Division (2023–2025) and participates in projects like W-SPRING's 2022–2024 study on TA practical knowledge. Teaching Experience: Fujikawa has served as a TA for courses like Data Literacy , Academic Writing , and Educational Technology Research Methods , demonstrating her commitment to pedagogical support and curriculum development.
Professor Hanem El-Farahaty is a Professor in Linguistics, Translation and Interpreting at the School of Languages, Cultures and Societies, University of Leeds, UK. She holds a PhD from the University of Leeds and has two BA degrees and an MA from the University of Mansoura, Egypt. Her academic roles focus on Arabic media, translation, and interpreting, with a strong research orientation in legal and political discourse. PhD in Translation Studies, University of Leeds MA in Applied Linguistics, University of Mansoura BA in English Language and Education, University of Mansoura BA in English Language and Literature, University of Mansoura Her research interests span comparative linguistics , Arabic/English legal translation , corpus-based translation , media and political translation , and critical discourse analysis , with a particular focus on political satire and multimodal communication in the Arab world. She investigates gender, modality, and constitutional language using corpus-driven methodologies. The analysis of her recent publications reveals a consistent trend in legal corpora development , deontic modality , and political discourse in Arabic and English contexts. Her work bridges translation theory, legal linguistics, and digital media, often using multimodal and corpus-based approaches to analyze political satire and constitutional texts. Her scientific recognition includes: Senior Fellow of the Higher Education Academy (SFHEA) Fellow of the Chartered Institute of Linguists (FCIL) She supervises PhD students and is actively involved in academic leadership, having organized major conferences and panels on Arabic translation and Middle Eastern studies. She has received no explicit mention of grants, but her extensive publication and conference activity suggest sustained research funding. She is a member of several professional bodies, including BRISMES, IATIS, FLITE, and ILLA. She contributes to academic communities through editorial roles, including membership in the Scientific Committee for the Leeds Language Scholar Journal and the International Journal of Translation, Interpretation, and Applied Linguistics . Her work is deeply embedded in interdisciplinary research, connecting linguistics, law, politics, and digital culture.
Dr. Mehran Masdari is a Lecturer in the Department of Aerospace Engineering at City St George's, University of London, where he has been serving since 2024 after joining as a Research Fellow and Visiting Lecturer in 2022. He previously held the position of Assistant Professor at the University of Tehran from 2012 to 2022, where he founded and led the Experimental Aerodynamic Research Laboratory (EARL). Education: PhD in Aerodynamics, Sharif University of Technology, Iran (2011) Fellow of the Higher Education Academy (FHEA), City, University of London, United Kingdom (2024) Dr. Masdari's research focuses on experimental aerodynamics, measurement techniques, data analysis, and image processing. He specializes in heat transfer optimization using pulsating flows, aeroacoustic analysis of drone propellers, and energy harvesting from flow-induced motions. His work bridges fundamental fluid dynamics with practical engineering applications in aerospace and sustainable technologies. He teaches core courses such as 'Measurements and Data Analysis', 'Advanced Aerodynamics', and 'Aeroelasticity', contributing significantly to aerospace education. The recent publications reflect a strong trend in experimental methods, particularly in image-based diagnostics, unsteady flow control, and energy conversion from fluid-structure interactions. His work spans thermal engineering, aeroacoustics, and smart materials, demonstrating interdisciplinary innovation in aerospace systems. Scientific Awards and Recognitions: Fellow of the Higher Education Academy (FHEA) Fellow of the Royal Aeronautical Society Dr. Masdari has advised numerous graduate students at the University of Tehran and continues to mentor early-career researchers at City St George's. His research has been supported by institutional and national grants related to advanced measurement systems, drone technology, and sustainable energy solutions. He has led projects integrating optical diagnostics with thermal and structural testing, contributing to both academic knowledge and industrial applications. He established and directed the Experimental Aerodynamic Research Laboratory (EARL) at the University of Tehran, a facility dedicated to cutting-edge experiments in flow measurement, heat transfer, and aeroelasticity. His lab work emphasizes innovation in instrumentation and data interpretation, fostering a hands-on research environment for students and collaborators.
Stephan Werner is a researcher at the Department of Electrical Engineering and Information Technology, Technische Universität Ilmenau, leading the Electronic Media Technology Group as acting head. His work focuses on auditory perception, spatial audio processing, and binaural synthesis for augmented/virtual reality applications. Research Interests Werner's research explores spatial audio, room acoustics, and perceptual modeling. Key areas include audiovisual coherence in AR, reverberation time estimation, and auditory adaptation in immersive environments. His projects address applications in education, intergenerational communication, and human-robot interaction. Publication Trends Recent work spans acoustic modeling for AR/VR, perceptual analysis of room divergence, and privacy-preserving mixed reality systems. Collaborative efforts with institutions like IEEE and Audio Engineering Society highlight technical and societal implications of audio technology. Laboratory As head of the Electronic Media Technology Group, he leads interdisciplinary research in auditory illusions, spatial audio quality, and immersive media production, often collaborating with international conferences and technical committees.
Maria Sappho is a Research Fellow at the University of Huddersfield's School of Arts and Humanities, specializing in Digital Playgrounds for Music. She leads the Chimere Communities project, addressing Western dominance in AI research through international artistic collaboration. PhD in Interactive Research in Music (IRiMaS) MMus and BMus from Royal Conservatoire of Scotland Her research bridges artificial intelligence, experimental music, and feminist theory, focusing on multi-species collaboration with AI and mushrooms. Key projects include the Chimere Communities and Digital Playgrounds for Music impact project. Recent publications include a 2025 Oxford University Press book on collaborative creativity and articles in Psychology of Music and Liminalities . Her 2024 exhibition Ça pourrait être mieux critiques AI's cultural narratives. BBC Radiophonic Daphne Oram Award (2021) Dewar Award (2018) New Piano Stars Competition Winner (2015) As module coordinator at Royal Conservatoire and tutor at the Institute for Contemporary Music Performance, she mentors emerging artists globally.
Lian Shen is a Professor in the Department of Mechanical Engineering at the University of Minnesota and serves as the Director of the St. Anthony Falls Laboratory, a premier research center for fluid mechanics and environmental engineering. He is actively involved in interdisciplinary research with strong ties to atmospheric science, oceanography, and renewable energy systems. Position: Professor, Mechanical Engineering Leadership: Director, St. Anthony Falls Laboratory Institution: University of Minnesota, College of Science and Engineering His research focuses on fundamental and applied aspects of fluid dynamics, particularly turbulence, air-sea interaction, and environmental flows. Using advanced computational techniques such as Large Eddy Simulation (LES) and Direct Numerical Simulation (DNS), he investigates complex phenomena including marine atmospheric boundary layers, upper-ocean turbulence, floating offshore wind systems, and biofilm-sediment interactions. His work integrates high-performance computing, machine learning, and field data validation to address challenges in climate modeling and sustainable energy. The trends in his recent publications (2018–2025) show a consistent emphasis on computational modeling of turbulent flows influenced by waves, stratification, and biological factors. His articles span journals in fluid mechanics, geophysics, and applied mathematics, reflecting a highly interdisciplinary approach. Key themes include GPU-accelerated simulations, wind-wave generation theory, particle-laden convection, and the role of synthetic biofilms in sediment evolution. Dr. Shen has secured substantial funding from federal agencies including the U.S. Department of Defense (Navy), the U.S. Department of Energy, and the National Renewable Energy Laboratory. His active grants support projects such as: LES of moisture and aerosol in marine atmosphere with air-sea interaction Fundamental dynamics of upper-ocean turbulence Modeling bubble dynamics at field sites FLOWMAS: Floating Offshore Wind Modeling and Simulation Impacts of biofilms on seabed topography He advises postdoctoral researchers and graduate students, fostering the next generation of scientists in fluid mechanics and environmental engineering. His lab produces open datasets supporting transparency and reproducibility in research.
Sean Anderson is an Associate Professor in the Department of Architecture at Cornell University's College of Architecture, Art, and Planning (AAP). He is currently on leave, maintaining an active role in curatorial and scholarly work. Previously, he served as Associate Curator in the Department of Architecture and Design at The Museum of Modern Art (MoMA), where he led influential exhibitions. His research spans architecture, art history, and curatorial practice, with a focus on African diasporic design, postcolonial modernism, and the intersection of technology and art. His scholarly work includes books on colonial Eritrean architecture and South Asian ritual objects, and he has curated major exhibitions such as Reconstructions: Architecture and Blackness in America and Thinking Machines . The breadth of his recent publications and exhibitions reflects a deep engagement with themes of displacement, identity, technology, and spatial justice. His work connects historical analysis with contemporary design discourse, often highlighting underrepresented voices in architecture. Selected Awards: Rome Prize in Modern Italian Studies (2005) Scuola Normale Superiore di Pisa Fellowship (2005–06) Anderson has advised numerous students and emerging architects through academic and curatorial mentorship. His leadership in exhibitions like the Young Architects Program and co-founding the African Futures Institute demonstrates sustained engagement with architectural education and global design networks. He has received grants and fellowships supporting his research in Italy, Africa, and South Asia. He is actively involved with the African Futures Institute (AFI) in Accra, Ghana, where he serves on the Board of Advisors. His international teaching in Afghanistan, India, Morocco, and the UAE underscores a commitment to global architectural dialogue.
Emilija Perkovic serves as the Dorothy Gilford Early Career Endowed Professor in Mathematical Statistics within the Department of Statistics at the University of Washington. She joined the department in Autumn 2018 as an Acting Assistant Professor and advanced to a tenure-track Assistant Professor position in Autumn 2020, establishing herself as a core faculty member in statistical methodology. Her academic foundation includes: B.Sc. in Mathematics from the University of Belgrade (2012) M.Sc. in Statistics from ETH Zürich (2014) Ph.D. in Statistics from ETH Zürich (2018) under Professor Marloes Maathuis Perkovic's research pioneers causal inference methodologies through probabilistic graphical models, focusing on intuitive frameworks for causal identification and estimation from observational data. Her work bridges theoretical statistics with practical applications, particularly in covariate adjustment techniques and Markov equivalence class analysis. She actively integrates expert knowledge to refine causal models, making complex inference accessible for real-world data challenges where experimental intervention is impossible. Her publication record reveals a concentrated evolution in causal graph theory, with recent preprints advancing adjustment criteria for diverse graph structures (MPDAGs, MAGs, ancestral graphs). Key trends include developing sound/complete identification rules, efficient estimation techniques under linearity, and minimal effect enumeration in equivalence classes—collectively enhancing robustness in observational causal analysis. Her scientific recognition includes: Best Poster Award, Semantic Statistics (SEMSTAT), Statistical Network Science Workshop (2017) While specific advising details and grant histories remain unreported in source materials, Perkovic's research trajectory indicates active mentorship through co-authored preprints with junior collaborators like Sara LaPlante and F. Richard Guo. Her Dorothy Gilford Endowed Professorship likely supports ongoing methodological innovation in causal statistics. No laboratory or team structures are explicitly referenced in her professional profile, suggesting independent or collaborator-driven research within the Statistics Department framework.
Felix Gerloff is a junior researcher at the Institute of Experimental Design and Media Cultures (Academy of Art and Design, University of Applied Sciences and Arts Northwestern Switzerland), specializing in programming as a cultural technique and computational thinking in human-machine collaborations. He is also a PhD candidate at Humboldt-University Berlin , where he earned his Masters in Cultural History and Theory in 2013. At the Max Planck Institute for the History of Science (MPIWG), he works as a visiting predoctoral fellow in the 'Epistemes of Modern Acoustics' group, focusing on the history of the decibel with Sebastian Schwesinger. Education: Magister Artium (MA), Cultural History & Theory, Humboldt-University Berlin (2013) PhD candidate, Humboldt-University Berlin Gerloff’s research bridges Sound Studies , Digital Cultures , and Media Theory , examining how sound functions as an epistemic tool in urban environments and software engineering. His work on the decibel explores intersections between auditory media, scientific instrumentation, and transnational knowledge exchange. He co-organizes the KlangDenken (Sonic Thinking) colloquium in Berlin since 2011. His publications analyze sonic reasoning , noise as a figure of thought , and creative coding in projects like Sonic Pi. He contributes to academic initiatives such as continent. and the Impact proceedings, emphasizing interdisciplinary and experimental research methods.
Chris Callison-Burch is a Professor of Computer and Information Science at the University of Pennsylvania , where he leads research in Natural Language Processing , Large Language Models , and Multimodal Learning . Previously, he worked at Johns Hopkins University’s Center for Language and Speech Processing for six years. Research Areas Automated paraphrasing and natural language understanding Machine translation without bilingual parallel corpora Crowdsourcing for NLP and social justice applications Generative AI and vision-language models Recent work focuses on LLM soundness guarantees, multimodal reasoning, AI-generated text detection, and ethical applications of language models. His research has been cited over 25,000 times, and he testified before Congress in 2023 on generative AI and copyright law. Awards & Funding Sloan Research Fellow Faculty awards from Google, Microsoft, Amazon, Facebook, and Roblox Grants from DARPA, IARPA, and NSF He chairs major NLP conferences (ACL 2017, EMNLP 2015) and contributes to editorial boards of TACL and Computational Linguistics .
Li Wan serves as a Lecturer at the Language Centre within Queen Mary University of London's School of Languages, Linguistics and Film. Despite her institutional affiliation with language education, her research output demonstrates deep expertise in acoustics, machine learning, and sensor networks, reflecting an unusual interdisciplinary profile spanning engineering and biomedical applications. Her research interests center on acoustics and speech processing, with significant contributions to machine learning applications in sensor networks, signal processing, and natural language processing. Recent work focuses on binaural audio rendering, emotion recognition systems, and biomedical diagnostics using electrocardiogram data, often addressing real-world challenges like missing sensor data and class imbalance in classification tasks. This research bridges engineering disciplines despite her Language Centre appointment. Analysis of her 15 most recent publications reveals a strong trend toward physics-informed neural networks for audio applications and sensor-based human activity recognition. Her work frequently appears in specialized challenges like the SHL and Odyssey competitions, emphasizing practical implementations for locomotion recognition, drone audition, and text segmentation. Key methodological themes include multimodal fusion, data augmentation, and cross-domain adaptation. Scientific Awards: No formal awards or fellowships documented in provided sources While her Language Centre role suggests teaching responsibilities in Chinese language, her publication record indicates active research mentorship in engineering domains. No grants or student advisement details are publicly available, though her challenge competition participation implies collaboration with technical research teams. The absence of lab affiliations in current documentation contrasts with her hardware-oriented work on drone audition and sensor systems.
Douglas M. Blough is a Professor at the Georgia Institute of Technology's School of Electrical and Computer Engineering, where he has served since 1999. He previously held faculty positions at the University of California at Irvine from 1988 to 1999. Dr. Blough directs the Critical Networking Laboratory and has served as the School's associate chair for faculty development since January 2018, including a five-month term as Interim Steve W. Chaddick School Chair in 2021. Dr. Blough's research focuses on wireless networks, distributed computer systems, and computer systems security. His specific interests include healthcare security, mobile and wireless communications, telecommunications, and computer systems and software. He has led 37 federally-funded or industry-sponsored research projects with over $8 million in funding, including current NSF grants for next-generation wireless networks exploring design challenges for networks operating in the millimeter-wave bands. His recent scholarly work demonstrates a strong emphasis on millimeter-wave communications, intelligent reflecting surfaces, and next-generation wireless LAN technologies. His publications reveal a progression from foundational work in dependable computing systems to cutting-edge research in wireless networking, with a particular focus on mmWave technology and intelligent surfaces in recent years. His research group has produced numerous award-winning papers, including multiple Best Paper Awards in 2021-2022. Professional Distinctions: Best Paper Award, IEEE International Symposium on Local and Metropolitan Area Networks, 2022 Best Paper Award, IEEE Consumer Communications and Networking Conference, 2021 Associate Editor, IEEE Transactions on Wireless Communications (2020-present) Associate Editor, IEEE Transactions on Cloud Computing (2020-present) Japan Society for the Promotion of Science (JSPS) Faculty Fellow, 1996 NASA/ASEE Faculty Fellow, 1993 Dr. Blough has advised numerous PhD students who now hold positions at leading technology companies including Microsoft, Google, Amazon, Intel, and Huawei. His research has resulted in over 160 archival publications and 10 patents related to wireless communications, bioinformatics, verifiable health records, and identity management. He has held significant leadership roles within his department, including chairing technical interest groups and serving on key committees for faculty development and honors.
Peter Lucas Hulen is a Professor in the Music Department at Wabash College , where he has taught for nearly 25 years. His work bridges classical acoustic composition with experimental computer-generated electronic music, informed by his classical training and later shift toward digital techniques. Research interests include: Electronic music history Music technology pedagogy Digital synthesis methods (FM, subtractive, granular) Integration of acoustic and electronic sound Algorithmic composition Interdisciplinary applications His compositions explore: Microtonal scales using superparticular ratios Wireless performance interfaces Choral liturgy adaptation Cultural sound symbolism Speaker array design Temporal structure manipulation Recent works combine academic rigor with technical innovation: 2017: Homage and Refuge , Wobbly 2015: Organum IV 2014: Magnificat , Sitting 328b 2013: Les substances botaniques , Primitive 2012: Lamentationes Jeremiae I He developed a systematic electronic music curriculum including: History and Literature Computer Programming (Max/MSP) Performance Ensembles Theory and Composition
