Samarpita Roy is an Assistant Professor at TU Delft's Faculty of Applied Sciences, leading the Environmental Biotechnology department's Samarpita Roy Group. Her research focuses on microbial ecology in engineered bioprocesses, integrating metagenomics and quantitative physiology to study microbial metabolisms and community interactions. Key projects include exploring phototrophic and polyphosphate-accumulating organisms in wastewater treatment for nutrient/resource recovery. She actively seeks industrial collaborations and is hiring PhD candidates in metagenomics/microbial ecology. Research emphasizes understanding microbial community dynamics under fluctuating conditions, developing sequencing/data analysis workflows, and applying findings to enhance bioprocess efficiency. Her work aims to advance circular bioeconomy solutions through innovative biotechnology approaches.
Gregory Crane is Professor of Classical Studies and Computer Science at Tufts University, where he holds the Winnick Family Chair in Technology and Entrepreneurship and serves as Chair of the Classical Studies Department. He also maintains a professorship in the School of Engineering's Computer Science department. Previously, he was Alexander von Humboldt Professor of Digital Humanities at Leipzig University in Germany from 2013-2019. PhD in Classical Philology, Harvard University (1985) BA in Classics, Harvard University (1979) Crane's research bridges traditional classical scholarship with digital technology. His work in classical studies focuses on ancient Greek authors, particularly Thucydides, with two major books published on the subject. Simultaneously, he has been a pioneer in digital humanities, beginning work on digital tools for classics as a graduate student in 1982. He is the Editor-in-Chief of the Perseus Project, which he has directed since 1985, developing morphological analysis systems and overseeing the project's evolution through multiple generations of digital library technology. His recent publications demonstrate a strong trend toward integrating artificial intelligence with classical language studies, developing next-generation digital libraries, and exploring new methods for engaging with classical texts in the digital age. Crane's work increasingly focuses on making ancient languages more accessible through technology, with research spanning digital philology, language learning tools, and corpus-based approaches to historical languages. Winnick Family Chair in Technology and Entrepreneurship Alexander von Humboldt Professor of Digital Humanities Crane has secured substantial research funding from major organizations including the National Endowment for the Humanities, the Andrew W. Mellon Foundation, the National Science Foundation, and Google. His current and recent projects include "Reinventing the study of ancient languages" and "Beyond Translation -- new possibilities for reading in a digital age." He has advised numerous students through senior honors theses and directed dissertation research in Classical Studies at Tufts University. Crane leads the Perseus Digital Library research program, which has evolved through multiple generations of technology to become a leading resource for classical studies. His work has established critical infrastructure for digital classics, including named entity identification systems and morphological analysis tools that have shaped the field of digital humanities.
Dr. Anett Hoppe is a research staff member at the Leibniz Information Centre for Science and Technology (TIB) in Hannover, Germany, where she works in the Visual Analytics research group. Her research focuses on the intersection of artificial intelligence, education technology, and information science, with particular emphasis on how people learn through search processes and educational video consumption. Dr. Hoppe completed her academic journey with: Ph.D. in Semantic Web technologies for online user profiles from the University of Burgundy, Dijon, France Her primary research interests span Search as Learning, software-based support for scientific reproducibility, and ethical considerations in computer-based decision making. She investigates how visual elements, reading sequences, and AI technologies impact knowledge acquisition during web search and educational video consumption. Her work bridges human-computer interaction, educational psychology, and information retrieval to create more effective learning experiences, with recent publications examining the role of large language models, vision-language models, and visual complexity in educational contexts. Analysis of her recent publications (2024-2025) reveals a strong interdisciplinary focus combining computer science, educational psychology, and information science. Her research examines video-based learning effectiveness, knowledge gain prediction, educational resource discovery, and the impact of visual elements on learning outcomes. She consistently explores how AI technologies can be leveraged to enhance educational experiences while maintaining attention to ethical considerations and scientific reproducibility. Dr. Hoppe maintains active collaborations with researchers across multiple institutions, with frequent co-authorship patterns indicating strong research partnerships, particularly with Ralph Ewerth and other members of the Visual Analytics group at TIB. Her work supports TIB's mission to advance knowledge infrastructure and scholarly communication through innovative technological solutions while directly addressing practical challenges in educational technology and information retrieval.
Dr James Herbert-Read is an Associate Professor and Whitten Lecturer in Marine Biology at the Department of Zoology, University of Cambridge. He serves as Deputy Head of Department (Postgraduate Education) and leads the Marine Behavioural Ecology Group. His research focuses on understanding how animals, particularly marine organisms, collect and process information from their environments to make behavioral decisions, with emphasis on social interactions, adaptation mechanisms, and ecological constraints. His group employs theoretical frameworks, controlled experiments, and quantitative field studies to investigate behavioral diversity in marine species. Key themes include collective behavior, predator-prey dynamics, camouflage strategies, and the impacts of environmental stressors on animal decision-making. Recent publications highlight work on lionfish vocalization mechanisms, cuttlefish camouflage, citizen science applications in marine research, and behavioral responses to visual and acoustic noise. Scientific awards and affiliations include: Whitten Lecturer in Marine Biology Associate Professor, University of Cambridge He has supervised research projects on topics such as: Social attraction in invasive fish species Evolution of coordinated movement Neurophysiological basis for leadership in shoals Maternal effects on offspring exploration
Simen Grung is a Doctoral Research Fellow at the Department of Teacher Education and School Research, Faculty of Educational Sciences, University of Oslo. His work focuses on assessment practices and English language pedagogy. Current projects: EDUCATE (Subject Renewal Evaluation), LANGUAGES (Language Instruction Contexts), NAVIKO-LU (Video-based Teacher Training), VIST (Video Excellence in Teaching) Research Groups: SISCO (Studies of Instruction across Subjects and Competences) His research explores feedback mechanisms in international classroom contexts, formative assessment challenges, and the use of video representations to enhance teacher training programs across Norway, England, and France. Recent publications demonstrate expertise in comparative education studies, language proficiency analysis, and assessment research methodologies. Key themes include cross-cultural pedagogical practices, assessment literacy, and video-based professional development. Active in academic collaborations, he works with researchers like Lisbeth M. Brevik, Eva Thue Vold, and Kirsti Klette on projects examining instructional quality and student experiences in teacher education.
Azad J Naeemi is a Professor holding the Dean's Professorship in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. He serves as Editor-in-Chief of the IEEE Journal on Exploratory Computational Devices and Circuits and Associate Director for Computation of the NSF-supported National Nanotechnology Coordinated Infrastructure (NNCI). His educational background includes a B.S. in Electrical Engineering from Sharif University (1994) and M.S./Ph.D. in Electrical and Computer Engineering from Georgia Tech (2001/2003). Prior to academia, he worked as a design engineer in Tehran (1994-1999) and as a research engineer at Georgia Tech's Microelectronics Research Center (2004-2008). Professor Naeemi's research spans nanotechnology with focus on emerging nanoelectronic devices, spintronics, ferroelectric devices, and design technology co-optimization for CMOS/beyond-CMOS technologies. His work bridges materials, devices, circuits, and systems, particularly investigating integrated circuits based on nanoscale devices and interconnects. Educational research includes experiential learning environments for engineering education. Recent publications (2024-2025) demonstrate strong emphasis on spin-orbit torque MRAM, ternary content addressable memories, ferroelectric/antiferroelectric devices, and plasmonic circuits. Key trends include energy-efficient hardware accelerators, neuromorphic computing applications, and compact modeling for advanced technology nodes. His scientific honors include: IEEE Solid-State Circuits Society James Meindl Innovators Award (2022) IEEE Electron Devices Society Paul Rappaport Award (2008) NSF CAREER Award (2013) SRC Inventor Recognition Award (2010) Multiple Georgia Tech teaching awards Professor Naeemi leads research supported by NSF (including NNCI infrastructure) and SRC. His editorial role with IEEE JXCDC positions him at the forefront of exploratory computational devices. He previously served as General Co-Chair for the IEEE International Interconnect Technology Conference (2013). His work connects with Georgia Tech's Microelectronics Research Center and national nanotechnology initiatives through the NNCI network, focusing on computational infrastructure for nanoscale device characterization and design.
Dr. Xiao Zhou is a Research Fellow affiliated with the Professorship for Consumer Behavior at ETH Zurich. His current position began in 2021. Prior to this, he conducted postdoctoral research at the University of Reading (2020-2021) and completed his PhD in Consumer Behavior at the University of Copenhagen (2015-2019). His research focuses on advancing consumer behavior studies through interdisciplinary approaches, combining insights from marketing, behavioral economics, and human motion analysis. Zhou’s work emphasizes understanding decision-making processes and their applications in real-world contexts. Education history includes a PhD in Consumer Behavior from the University of Copenhagen (2015-2019), followed by postdoctoral training at the University of Reading (2020-2021). His academic trajectory reflects a strong foundation in both theoretical and applied research. His research interests span consumer behavior, marketing research methodologies, and behavioral economics. Notably, his recent publications explore cutting-edge technologies in motion capture and computer vision, including real-time human motion tracking and generative models for 3D reconstruction. This reflects a unique intersection of consumer behavior studies with technical advancements in computational methods. Zhou’s research outputs demonstrate expertise in areas such as inertial sensor-based motion analysis, physics-aware tracking systems, and hierarchical modeling techniques. His contributions highlight innovative solutions for challenges in human pose estimation and 3D reconstruction. He is currently based at ETH Zurich’s Department of Consumer Behavior, contributing to both academic research and potential industrial applications of his work.
Tural Khudiyev is an Assistant Professor at the Department of Materials Science and Nanotechnology , National University of Singapore (NUS), focusing on multimaterial electronic fibers for human-fabric interaction, soft robotics, and neural probes. He previously worked as a postdoctoral researcher at MIT's Research Laboratory of Electronics. B.Sc. in Nuclear Engineering, Hacettepe University Ph.D. in Materials Science and Nanotechnology, Bilkent University His research spans implantable and wearable electronics , stimuli-responsive drug delivery , and AI in healthcare , with a strong emphasis on scalable nanomanufacturing techniques. His publications in journals like Nature , Nature Nanotechnology , and Advanced Materials highlight innovations in thermally drawn fibers and soft bioelectronic interfaces . Key trends include flexible electronics , machine learning in textiles , and bio-integrated devices , with applications in neural engineering and power textiles . His work has been featured in media outlets such as Reuters and Business Insider . Selected as MIT’s top research story of 2021 #1 Most Read Article in Applied Optics (2015) Featured in Virtual Journal of Nanoscale Science & Technology Khudiyev's contributions to thermally drawn fibers and soft robotics demonstrate interdisciplinary collaboration between materials science, neuroscience, and wearable technology.
Brandon M. Stewart is an Associate Professor of Sociology at Princeton University with extensive interdisciplinary affiliations. He serves as Director of the Statistics Core at the Office of Population Research and maintains formal connections with the Politics Department, Princeton Institute for Computational Science and Engineering, Center for Information Technology Policy, and Center for the Digital Humanities. Stewart holds editorial leadership as Co-Editor-in-Chief of Political Analysis and Associate Editor at Sociological Methods & Research . His educational background includes: Ph.D. in Government from Harvard University (2015) Master's degree in Statistics from Harvard University (2014) Stewart's research pioneers innovative quantitative methods for social science applications, specializing in automated text analysis and modeling complex heterogeneity in regression. His methodological frameworks enable researchers to uncover hidden structures in large datasets that were previously too costly or impossible to analyze. While his recent work has focused on using newspaper archives to study propaganda mechanisms in contemporary China, his tools are deliberately designed for broad applicability across diverse domains including education, human trafficking, forced migration, international relations, constitutional law, and psychology. His publication record demonstrates consistent innovation at the intersection of statistics, machine learning, and social inquiry. Stewart's work shows a clear trajectory from foundational methodological development to practical implementation across numerous substantive areas, with recurring themes of enhancing causal inference with textual data, developing robust topic modeling techniques, and creating accessible computational tools for social scientists. Stewart's scholarly excellence has been recognized through multiple prestigious awards: 2024 Leo Goodman (Early Career) Award from the Methodology Section of the American Sociological Association 2023 Emerging Scholar Award from the Political Methodology Society Edward R Chase Dissertation Prize Gosnell Prize for Excellence in Political Methodology Political Analysis Editor's Choice Award Recognition for Excellence in Mentoring Graduate Students As a mentor, Stewart has guided several successful graduate students to faculty positions at institutions including UCLA and Georgetown. His collaborative approach is evident in numerous multi-author projects spanning disciplines from political science to computational linguistics. His leadership extends to the Sociology Statistics Reading Group, which he founded to foster interdisciplinary methodological exchange, and his summer methods camp that trains social scientists in advanced quantitative techniques.
Olumakinde Adesijibomi Ogunnaike is a President’s Postdoctoral Fellow at the Department of Physics, University of California, Berkeley. His research focuses on the quantum theory of strongly interacting and open systems, particularly symmetry, entanglement dynamics, and emergent properties in quantum systems. He actively bridges physics with poetry and philosophy, and is dedicated to mentoring underrepresented students in STEM. Education: PhD in Physics (MIT), MSc in Philosophy of Physics (Oxford), BSc in Physics and Mathematics (Harvard). Ogunnaike investigates quantum systems where fundamental particles exhibit unintuitive collective behaviors due to quantum correlations. His work spans topics like composite atom formation, measurement-induced phase transitions, and symmetry’s role in entanglement spread. He also explores interdisciplinary intersections, notably through the Poetry of Science project. His recent publications address quantum many-body stability, hydrodynamics, and graphene-based material properties. These works emphasize symmetry, long-range interactions, and measurement effects, reflecting both theoretical rigor and interdisciplinary curiosity. Award: President’s Postdoctoral Fellowship (UC Berkeley). Ogunnaike has organized MIT’s Directed Reading Program, co-founded National Society of Black Physicists chapters, and taught courses in general relativity and introductory laboratory physics. His outreach efforts highlight his commitment to inclusive education and community engagement.
Eetu Mäkelä is a Professor of Digital Humanities at the University of Helsinki, leading the research group at the Helsinki Centre for Digital Humanities. He focuses on computational methods in humanities and social sciences, including datafication and interdisciplinary collaboration. He serves as Technical Director of DARIAH-FI and a Research Programme Director at the Helsinki Institute for Social Sciences and Humanities. Currently, he heads the preparatory group for the Helsinki Liberal Arts and Sciences Bachelor’s Programme. His research emphasizes technological and theoretical foundations of computational research, with notable contributions to linked open data, sociolinguistic analysis, and historical text mining. He has developed widely used tools like Recon, Palladio, and Octavo, which are employed in academic and public sectors. His work has garnered over 20 awards, including best paper and open science recognitions. Key areas of expertise include digital humanities methodologies, data integration, and open science practices. He actively contributes to teaching, designing courses such as 'Methods for Digital Humanities' and demonstrating innovative pedagogical approaches. His recent projects involve analyzing 18th-century philosophical texts and sociolinguistic change using computational methods. Awards: Multiple best paper awards, open data awards, and open science awards. Grants/Advising: Leads research initiatives funded by the Academy of Finland and other bodies. Mentors interdisciplinary research teams but no specific student names listed. He maintains active roles in academic infrastructure, including the DARIAH-FI initiative and the Helsinki Institute’s datafication program. His work bridges technical innovation with humanities scholarship, emphasizing practical, enduring systems for academic and public use.
Steven Swanson is a Professor in the Department of Computer Science and Engineering at the University of California, San Diego, within the Jacobs School of Engineering. He is the Director of the Non-Volatile Systems Laboratory (NVSL), where he leads cutting-edge research in non-volatile memory, storage systems, and hardware-software co-design. His work bridges computer architecture, systems, and software to develop efficient, reliable, and secure computing platforms. Ph.D., University of Washington, 2006 B.S., University of Puget Sound, 1999 Dr. Swanson's research centers on non-volatile and persistent memory systems , exploring how next-generation storage technologies can transform computing. His lab develops full-stack solutions including file systems like NOVA and Orion , programming models such as NV-Heaps , and hardware prototypes like Moneta and Onyx . The team also works on low-power co-processors (e.g., GreenDroid ) and tools for debugging and verifying persistent memory programs. Research spans system reliability, security, energy efficiency, and performance optimization. His recent publications reveal a strong focus on persistent memory safety , zero-copy I/O , RDMA-based distributed file systems , and real-world characterization of Intel Optane . These works appear in top venues including ASPLOS, FAST, MICRO, and USENIX ATC, demonstrating sustained innovation in storage and systems research. Scientific honors include: NSF CAREER Award Google Faculty Award Facebook Faculty Award NetApp Faculty Fellow Dr. Swanson has advised 15 PhD students and 4 postdocs , many now faculty or senior engineers at Google, Microsoft, Intel, and other leading tech firms. He has secured significant research funding and leads major community initiatives such as the annual Non-Volatile Memories Workshop and Persistent Programming In Real Life (PIRL) . His educational efforts include innovative courses on robotic system design, quadcopter building, and modern storage systems, emphasizing hands-on learning and real-world implementation. The Non-Volatile Systems Laboratory (NVSL) under his leadership fosters a collaborative, international research environment, hosting visitors and postdocs from around the world. The lab is recognized globally as a pioneer in storage systems research and a key contributor to the adoption of persistent memory technologies in industry.
Mads Albertsen is a Professor in the Department of Chemistry and Life Sciences at the Faculty of Engineering and Science, Aalborg University, Denmark. He leads the Albertsen Lab and is a key member of the Center for Microbial Communities. His research focuses on high-throughput DNA sequencing methods to explore uncultivated microbes and populate the tree of life. He is actively involved in major interdisciplinary projects such as NanoEat , Microflora Danica , and DarkScience , funded by the European Research Council, Villum Foundation, and Poul Due Jensen Foundation. His research interests span metagenomics , long-read sequencing , bioinformatics , microbial ecology , and environmental biotechnology . He develops cutting-edge methods to improve throughput in microbial genome recovery and applies them to diverse areas including wastewater treatment, human microbiome studies, and infectious disease diagnostics. His work has significant implications for public health and sustainability. The recent publications highlight a strong trend in long-read sequencing (Oxford Nanopore), metagenome-assembled genomes (MAGs) , and microbial dark matter . His team has published high-impact papers in Nature , Nature Methods , and Nature Communications , with applications in environmental systems and clinical diagnostics, including SARS-CoV-2 and bloodstream infections. His scientific awards include: The Grundfos Prize (2021) The Fritz Kaufmann Prize (2021) The Rising Star Award by IWA & ISME (2016) Research Result of the Year in Denmark (2015) The Spar Nord Fond Research Prize (2015) Mads Albertsen advises numerous PhD students, leads externally funded research projects, and is involved in technology transfer through his co-founding of DNASense ApS (2014–2020). He also serves on scientific advisory boards and contributes to public policy, including as a member of the Danish SARS-CoV-2 variant risk-assessment group. He teaches courses in Data Science, Bioinformatics, Genomics, and Environmental Microbiology at Aalborg University. His lab, the Albertsen Lab , is part of the Center for Microbial Communities , a leading research center focused on microbial systems biology and environmental applications. The lab collaborates extensively with national and international partners in academia, industry, and public health institutions.
Miguel Nacenta is a Professor in the Department of Computer Science at the University of Victoria (UVic), Canada, and a founding member of the Victoria Interactive eXperiences with Information (VIXI) research group. Previously affiliated with the University of St Andrews (UK), his work bridges Human-Computer Interaction (HCI), Information Visualization, and Cognitive Science. He specializes in designing interactive systems that enhance human cognition, with a focus on Infotypography (using typography to encode data), collaborative problem-solving tools, and perceptual input/output devices. Research Interests: His key areas include cognitive augmentation, visualization techniques for complex tasks, multi-display environments, and tools for constraint problem-solving. Notable projects include the WriteReason tool for essay writing, InfoTypography studies on perceptual typographic parameters, and Solvi for visual constraint modeling. Grants & Collaborations: He collaborates internationally, including with the University of St Andrews on PhD scholarship programs. His work is supported by grants focusing on HCI innovations and accessibility. He actively mentors students (e.g., Adam Binks, Johannes Lang) and supervises postdoctoral researchers. Affiliations: Member of the VIXI group,他曾是St Andrews计算机科学学院的教授, 并参与多个学术服务活动, including conference program committees and journal reviews. Labs & Teams: Leads the VIXI lab at UVic, focusing on interactive technologies for cognitive tasks. Collaborates with industry partners on projects like TypoCartographer for infoTypographic maps and HaptiQ for accessible graph exploration.
Guofang Li is a Professor in the Department of Language and Literacy Education at the Faculty of Education, affiliated with the Centre for Early Childhood Education & Research (CECER). Her work centers on bilingual development and literacy education within multicultural contexts, particularly focusing on Chinese-Canadian communities. Her research interests include: Early bilingual development Family literacy practices Early literacy instruction methodologies Early education for minority learners Teacher education for multilingual classrooms Analysis of her 2021-2025 publications reveals a concentrated focus on Chinese-Canadian children's bilingual development, examining home literacy environments, digital technology impacts, and pandemic-related disruptions. She consistently advocates for equity-focused approaches in superdiverse educational settings, emphasizing translanguaging practices and critical perspectives on linguistic justice. Scientific Awards: No awards explicitly mentioned in source materials Advising and Grants: No specific student names or grant information provided in source materials Labs and Teams: Centre for Early Childhood Education & Research (CECER): An interdisciplinary hub facilitating collaborative research between academics, educators, and community partners focused on advancing evidence-based early childhood education practices through longitudinal studies and community-engaged projects.
