Eytan Adar is a Professor of Information and Computer Science at the University of Michigan, holding dual appointments in the School of Information and the College of Engineering's Electrical Engineering and Computer Science department. His work sits at the intersection of human-computer interaction and artificial intelligence, focusing on large-scale systems analysis and novel interface design. Adar's research spans multiple domains including social media analysis (Twitter, Reddit), academic citation networks, meme propagation, information extraction, and political networks. His methodological expertise includes data mining, data visualization, and graph-based network analysis. His work often operates at internet scale, examining language, creativity, social network dynamics, and text production. His recent publications reveal a strong focus on AI-human collaboration, with particular attention to generative AI interfaces, visualization techniques for complex data, and ethical considerations in AI systems. His work shows a consistent pattern of bridging theoretical insights with practical system implementations. Best Paper Award at ProtoAI: Model-Informed Prototyping for AI-Powered Interfaces, IUI'21 Honorable Mention Award at CHI'24 for feminist interaction techniques research Best Paper Award at ICWSM'18 for Wikipedia language edition analysis Best Paper Award at ICML 2016 Workshop for neural language model visualization Best Student Paper at WSDM'09 for web dynamics research Best of CHI at CHI 2008 for web revisitation patterns analysis Adar has advised numerous PhD students who have gone on to prominent positions at organizations including Google, Apple, RAND, Northwestern University, and Stanford. His research is generously supported by the NSF, IARPA, NIH, the Education Department, and major technology companies including Adobe, Microsoft, Facebook, Google, and Yahoo. He is also a founder of the International Conference on Web and Social Media (ICWSM) and has served as Co-General Chair for WSDM and Co-Program Chair for UIST.
Dr. Eli Strauss is a behavioral ecologist and Assistant Professor in the Department of Integrative Biology at Michigan State University , where he is establishing a lab focused on the evolution and ecology of social behavior. He co-directs the Mara Hyena Project , a long-term study of hyena behavior and ecology in Kenya. His research spans dominance hierarchies, longitudinal studies of animal societies, and computational methods for analyzing social dynamics. He has developed tools like the DynaRankR R package for inferring longitudinal dominance hierarchies and DomArchive for compiling dominance data. His work addresses challenges such as mismatched timescales in behavioral studies and demographic drivers of hierarchy dynamics, often using spotted hyenas as a model species. Dr. Strauss is currently recruiting lab members for graduate student, postdoc, and technical roles, with lab establishment planned for late 2025–Fall 2026. His publications reflect interdisciplinary interests in behavioral ecology, animal societies, and data-driven approaches to understanding dominance and social networks.
Prof. Dr. Oliver Krüger is a behavioral ecologist and evolutionary biologist at Bielefeld University 's Faculty of Biology , where he leads the Department of Animal Behaviour since 2013. His research spans avian and marine mammal systems, focusing on life history strategies, parasite-host interactions, and environmental adaptation. Education: Biology studies at Bielefeld University (1994-1996) MSc in Oxford (1996-1997) PhD at Bielefeld University with Fritz Trillmich and Jan Lindström (1998-2000) Research Themes: Behavioral ecology, evolutionary biology, and population dynamics across tropical and temperate ecosystems. Key projects include NC³ (Niche Choice/Construction) and studies on Galápagos sea lions, common buzzards, and pinniped species. Scientific Leadership: Spokesperson, SFB TRR 212 "NC³" (2018-2025) Advisory Board member: German Ornithologists Union, IUCN SSC pinniped group, German Primate Centre Peer review roles: Humboldt Foundation, DFG, HFSP, NSF Awards: Leopoldina Prize (2001) Niko Tinbergen Award (2008) DFG Heisenberg Professorship (2010-2015)
Geraldine Heng is the Mildred Hajek Vacek and John Roman Vacek Chair in English at the University of Texas at Austin, where she is cross-appointed to Middle Eastern Studies, Women's Studies, Jewish Studies, and the Rapoport Center for Human Rights and Social Justice. Elected to the American Academy of Arts and Sciences in 2023 and a Fellow of the Medieval Academy of America, she founded and directs the Global Middle Ages Project (G-MAP), a major interdisciplinary initiative promoting global perspectives on premodernity. With a Ph.D. from Cornell University, Heng has pioneered the field of premodern critical race studies, fundamentally challenging the assumption that race is a modern construct. Her research focuses on literary, cultural, and social encounters between worlds, particularly through the lenses of race, gender, sexuality, class, and religion, with special attention to medieval Europe's interactions with Asia and Africa. Heng's scholarly work reveals how medieval global connections shaped cultural production and identity formation long before the so-called 'Age of Exploration.' Her approach synthesizes literary analysis, historical research, and critical theory to uncover the deep roots of globalization and its implications for understanding contemporary identity politics and cultural exchange. Her publications demonstrate a consistent trajectory toward increasingly global frameworks, moving from studies of medieval romance to comprehensive examinations of early global interconnectedness. This evolution reflects her commitment to dismantling Eurocentric narratives of the medieval world and revealing the complex networks of exchange that characterized premodern societies across Afro-Eurasia. 2019 PROSE prize in Global History 2019 Academy of American Literature prize in Historical Studies 2019 Robert W. Hamilton Grand Prize 2020 Otto Gründler prize Fellow of the American Academy of Arts and Sciences (2023) Fellow of the Medieval Academy of America Heng has secured approximately $750,000 in grants for digital projects and held eight major fellowships at research centers. She co-edits the Cambridge University Press Elements series in the Global Middle Ages and the University of Pennsylvania Press series RaceB4Race: Critical Studies of the Premodern. Her teaching encompasses courses on early global literatures, premodern race, Crusades literature, Arthurian traditions, and feminist theory. As founder and director of the Global Middle Ages Project (G-MAP), Heng has built an international scholarly network that challenges traditional disciplinary boundaries and promotes collaborative approaches to studying premodern global connections. The project has fostered numerous digital initiatives, publications, and conferences that have significantly reshaped how scholars understand medieval intercultural exchange.
Dr. Silu Wang is an Assistant Professor in the Department of Biological Sciences at the University at Buffalo. Her research focuses on speciation, adaptation, and forest evolutionary genomics, particularly in avian species. She leads the Forest Speciation Lab, studying the genomic and ecological mechanisms underlying species divergence in North American and global forest ecosystems. Her work integrates field studies, genomic analyses, and computational modeling to address biodiversity conservation challenges under climate change. Education: BS in Behavior Genetics and Neurobiology, University of Toronto MA in Ecology, Evolution and Behavior, University of Texas, Austin PhD in Zoology, University of British Columbia Postdoctoral Research at University of California Berkeley and UC Davis Research Interests: Dr. Wang investigates how hybridization, climate adaptation, and reproductive isolation shape avian biodiversity. Her lab uses old-growth forest bird species as models to study early-stage speciation processes, including mate choice, genetic incompatibilities, and mitochondrial-nuclear interactions. Key themes include understanding organismal responses to environmental changes and developing genomic tools for conservation prioritization. Lab and Teams: The Forest Speciation Lab collaborates with institutions globally, focusing on fieldwork in temperate and tropical forests. Current projects include studies on warbler hybrid zones, tinamou speciation, and the genomic architecture of mitonuclear coevolution. Teaching: Dr. Wang teaches courses on Speciation, Tropical Ecology, and Evolutionary Biology, emphasizing hands-on research training for students.
Andrew Gersick is a Lecturer in the Department of Ecology and Evolutionary Biology at Princeton University. His research focuses on animal behavior, particularly in large social species such as spotted hyenas, zebras, and cowbirds. He explores topics including collective behavior, social dynamics, communication systems, and ecological adaptations. His work integrates field studies with technological tools like accelerometers to analyze activity patterns and signaling mechanisms. Notably, he investigates how zebra stripes repel biting flies and how hyenas use vocalizations for individual recognition. Gersick also contributes to conservation efforts, such as the Great Grevy’s Rally in Kenya, and studies social learning in avian species like cowbirds. His recent articles highlight interdisciplinary approaches, combining ecology, physiology, and technology to understand animal behavior in natural and social contexts. While no awards are explicitly listed, his contributions to understanding collective behavior and conservation biology are significant. Advising and grants: No formal advisees or grant details are provided in the text. His work appears to focus on collaborative research and field-based methodologies. Labs/Teams: No specific laboratory or team affiliations are mentioned beyond his departmental role at Princeton.
Professor Moncef Gabbouj is a distinguished academic and researcher currently serving as Professor of Signal Processing at the Department of Computing Sciences, Faculty of Information Technology and Communication Sciences, Tampere University, Finland. Previously, he held the same position at Tampere University of Technology before the merger in 2019. He has also held visiting professorships at prestigious institutions including Hong Kong University of Technology and Science, University of Southern California, and Purdue University. Ph.D. and MSc. in Electrical Engineering from Purdue University, USA (1989 and 1986) B.Sc. in Electrical Engineering from Oklahoma State University, USA (1985) Prof. Gabbouj's research spans multiple domains within signal and image processing, with a strong focus on machine learning applications. His primary research interests include artificial intelligence, machine learning, Big Data analytics, multimedia content-based analysis, indexing and retrieval, nonlinear signal and image processing, voice conversion, and video processing and coding. His work bridges theoretical advancements with practical applications across various industries, particularly in multimedia communications and biomedical applications. His extensive publication record demonstrates a clear evolution from traditional signal processing techniques toward more sophisticated machine learning and deep learning approaches. Recent work shows increasing focus on convolutional neural networks for various applications including ECG classification, video processing, financial time-series analysis, and image recognition tasks, reflecting the broader trend in the field toward deep learning methodologies while maintaining strong foundations in signal processing theory. IEEE Fellow (2011) Member, Finnish Academy of Science and Letters (2014) Knight, First Class, of the Order of the White Rose of Finland (2006) Nokia Foundation Recognition Award (2005) Nokia Foundation Visiting Professor Award (2012) Finnish Cultural Foundation for Art and Science Award (2017) TUT Foundation Grand Award (2015) Prof. Gabbouj has supervised 64 doctoral and 72 Master's theses, demonstrating his significant contribution to academic mentoring. His research has been supported by substantial funding, including research grants totaling 8.5 million Euro (2001-2015). He has served as Academy of Finland Professor during 2011-2015 and has been involved in numerous EU research projects including Horizon, ESPRIT, HCM, IST, COST, Tempus and Erasmus programs. As Editor, Guest Editor or member of the Editorial Board of 6 international scientific journals, he has significantly influenced the academic discourse in his field. He leads the Signal Analysis and Machine Intelligence (SAMI) research group at Tampere University and serves as the Finland Site Director of the NSF IUCRC funded Center for Visual and Decision Informatics. His research unit focuses on applying advanced machine learning techniques to solve complex problems in signal processing, computer vision, and multimedia analytics, with applications ranging from healthcare to multimedia communications and financial analysis.
Dr. Keisha April is an Assistant Professor at Rutgers University's School of Criminal Justice. She holds a Ph.D. in Clinical Psychology from Drexel University, J.D. from Benjamin N. Cardozo School of Law, and A.B. in Psychology from Princeton University. Her research focuses on juvenile justice systems, policing practices, mental health intersections with crime, community-based interventions, and racial/ethnic disparities. Using mixed methodologies, she examines justice system interactions to inform policy reforms. Recent publications explore police-youth dynamics, treatment-to-prison pipelines, and community participatory research. Her work integrates public health models with restorative justice approaches.
Dr. Hongli (Julie) Zhu is an Associate Professor in the Department of Mechanical and Industrial Engineering at Northeastern University's College of Engineering. Her research focuses on sustainable energy storage, multifunctional materials, and advanced manufacturing, with emphasis on developing environmentally friendly biomass-derived materials, all solid-state batteries, and flow batteries. She leads the ZHU Lab at Northeastern University, which is dedicated to creating safer, cheaper, and higher performance energy storage solutions while exploring multifunctional materials derived from nature. Dr. Zhu received her PhD from South China University of Technology and Western Michigan University (2004-2009). She conducted postdoctoral research at KTH Royal Institute of Technology in Sweden (2009-2011), focusing on biodegradable and renewable biomaterials from natural wood, followed by additional postdoctoral work at the University of Maryland (2012-2015), where she researched nanocellulose and energy storage. Dr. Zhu's research spans multiple disciplines at the intersection of materials science, energy storage, and sustainable manufacturing. Her work addresses critical challenges in energy storage technology, including developing all solid-state batteries, flow batteries, and high energy density battery systems. She has pioneered research in sustainable biomass-derived materials, particularly investigating cellulose, hemicellulose, and lignin for applications in bendable, implantable, and biocompatible electronics. Her lab also focuses on advanced manufacturing techniques, including high-speed roll-to-roll processing for emerging advanced materials and devices. Analysis of Dr. Zhu's publication record reveals a strong focus on next-generation battery technologies, particularly solid-state systems. Her research demonstrates significant contributions to understanding and improving lithium dendrite suppression, electrode architecture optimization, and interface stabilization in solid-state batteries. She has also made substantial advances in sustainable materials derived from natural resources, developing applications for cellulose nanostructured fibers, paper, and aerogel/hydrogel systems. MRS Communications Early Career Distinguished Presenters and JMR Distinguished Invited Speakers (2024) Selected in Stanford University List of Top 2% Scientists Worldwide (2021-2024) College of Engineering Faculty Fellow (2023) Soren Buus Outstanding Research Award (2022) Women in Materials Science, Advanced Materials (2021 and 2022) Women Scientists at the Forefront of Energy Research, ACS Energy Letters (2020) Innovator of the Year 2013, Maryland Jakob Wallenberg Scholarship, Sweden Dr. Zhu has secured significant research funding from various sources, including the National Science Foundation and Department of Energy. Her current projects include "Uncovering the mechano-electro-chemo mechanism of fresh Li in sulfide based all solid-state batteries through operando studies" (NSF), "Enabling Advanced Electrode Architecture through Printing Technique" (DOE), and "Engineering the Metal Sulfide Interface in All Solid State Batteries through Operando Study" (NSF). She collaborates with industry partners including Rogers Corporation and has developed patented technologies related to sustainable materials and energy storage. Dr. Zhu serves as Codirector of Advanced & Intelligent Manufacturing, Editor of Progress in Materials Science, and on the Editorial Advisory Board of Chemical Society Reviews. The ZHU Lab at Northeastern University is a highly interdisciplinary research group that bridges scales from the nanoscopic to macroscopic and system level. The lab's work has led to numerous patents, including "Natural fiber composites as a low-cost plastic alternative" and "Fire-retardant Nanocellulose Aerogel, and Methods of Preparation and Uses Thereof." The group focuses on making energy storage safer, cheaper, and higher performing while exploring multifunctional materials derived from nature, with particular emphasis on applying high-speed roll-to-roll manufacturing to emerging advanced materials and devices.
Dr. Michael Alfaro is a Professor in the Department of Ecology and Evolutionary Biology at UCLA, where he leads the UCLA Alfaro Lab. His research focuses on understanding evolutionary dynamics of organismal diversification, particularly in marine fishes. He employs interdisciplinary approaches combining evolutionary morphology, molecular phylogenetics, and theoretical evolution to explore patterns and mechanisms of morphological and functional diversity. Education: Ph.D. in Evolutionary Biology, University of Chicago (2000) M.A. in Biology, Humboldt State University (1995) B.A. in Dramatic Arts, University of California, Davis (1989) Research interests emphasize the interplay between morphological diversity and ecological/functional dynamics. Notable themes include the drivers of diversification in marine lineages, the role of physiological traits in lineage success, and the integration of computational tools for large-scale phenotypic analysis. Alfaro has contributed to advancements in phylogenetic methodology and genomic resources for studying fish evolution. His work bridges macroevolutionary theory with empirical data, often leveraging crowdsourced phenotypic data and bioinformatics tools like Sashimi and Charisma for high-throughput analysis. The lab actively engages in collaborative projects addressing biodiversity patterns and evolutionary mechanisms across marine and terrestrial systems. Grants and advising activities are central to his academic contributions, though specific details are not detailed in the provided text. The UCLA Alfaro Lab collaborates internationally, emphasizing both basic research and applied conservation contexts.
Prof. Dr. Ahmet ÖZMEN is a Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Software Engineering. He has held various administrative positions including Head of the Software Engineering Department (2019-2028) and Director of the Computer Research and Application Center (2019-2022). With extensive experience in academia since 1991, he has made significant contributions to computer vision, traffic monitoring systems, and sensor technologies. Sakarya University: Professor (2019-present), Associate Professor (2011-2019) Dumlupınar University: Assistant Professor (2001-2011), Research Assistant (2000-2001, 1993-1998) Istanbul Technical University: Research Assistant (1991-1993) Prof. ÖZMEN's research spans computer vision applications for traffic monitoring, indoor air quality systems, parallel computing, and sensor technologies. His work bridges theoretical computer science with practical engineering applications, particularly in developing vision-based systems for nighttime vehicle detection, traffic flow monitoring, and environmental sensing. His interdisciplinary approach combines machine learning, image processing, and embedded systems to solve real-world problems in transportation and environmental monitoring. His publication record shows a clear evolution from parallel and distributed systems in his early career to computer vision and sensor applications in recent years. The majority of his recent work focuses on traffic monitoring systems using computer vision techniques, particularly for nighttime conditions, and indoor air quality monitoring systems using sensor networks. His research demonstrates strong industry and societal relevance, with applications in smart transportation, environmental protection, and educational technology. TÜBİTAK Publication Awards (2006, 2008, 2009, 2010) Physical implementation award from TÜBİDER (2008) Microsoft Certified Professional Certificate (2005) YÖK overseas study scholarships (1993, 1998) Elginkan graduate scholarships (1990, 1991) Prof. ÖZMEN has supervised numerous graduate students across multiple institutions, with a focus on practical engineering problems. His research has been supported by various projects including TÜBİTAK projects, institutional research grants, and industry collaborations. He has led significant research initiatives in traffic monitoring systems, indoor air quality monitoring, and educational technology platforms. His administrative leadership has included directing research centers and shaping curriculum development in software engineering. His work has involved establishing research teams focused on computer vision applications, sensor network development, and educational technology. These teams have produced numerous publications, developed practical systems, and trained the next generation of computer engineers. Current research directions include advanced traffic monitoring systems using deep learning and multi-camera setups for urban planning applications.
Stacy E. Wolf is Professor of Theater in the Lewis Center for the Arts and the Effron Center for the Study of America at Princeton University, where she also serves as Director of Fellowships and Founding Director of the Program in Music Theater. She will serve as Acting Chair of the Lewis Center for the Arts in fall 2025. Wolf is one of America's foremost scholars on musical theatre, with extensive publications exploring gender, sexuality, and American culture through the lens of musical performance. Wolf's educational background includes a B.A. in English from Yale University, an M.A. in Drama from the University of Virginia, and a Ph.D. in Theater from the University of Wisconsin-Madison. Her academic journey has positioned her at the forefront of musical theatre scholarship, where she has helped establish this field as a legitimate area of academic study. Her research interests focus on musical theatre as a cultural phenomenon , particularly examining gender and sexuality in the American musical , feminist approaches to performance , and the relationship between musical theatre and American history . Wolf investigates how musicals both shape and are shaped by larger cultural forces, challenging assumptions about musical theatre as merely entertainment rather than serious art. She explores the pleasure principle in musical theatre while analyzing its political and social dimensions, examining how this commercial art form can simultaneously be cutting-edge and culturally significant. Wolf's publications reveal a consistent focus on feminist perspectives in musical theatre history , with particular attention to how women and LGBTQ+ communities engage with and reinterpret musicals . Her work spans from historical analysis of Broadway classics to contemporary examinations of how musicals function in community settings beyond professional theatre. Recent scholarship increasingly addresses diversity and inclusion in musical theatre , examining how productions in educational settings can empower students of color and create pathways for greater representation on professional stages. Guggenheim Fellow (2017) President's Award for Distinguished Teaching (2017) 2024 Distinguished Scholar by the American Society for Theatre Research Two Bogliasco Fellowships As an educator, Wolf has mentored numerous students including Abigail Jean-Baptiste, with whom she collaborated on the course 'Sondheim's Musicals and the Making of America.' Her teaching philosophy emphasizes the integration of theory and practice, encouraging students to see no separation between art-making and scholarship. Wolf has received significant grant support for her research, including the prestigious Guggenheim Fellowship that enabled deep exploration of musical theatre's cultural impact across America. Wolf is actively involved in Princeton's artistic community as a faculty fellow at Wilson College and academic fellow for the women's basketball team. She regularly participates in student productions, attending rehearsals and leading talkbacks. Her current research includes a book on feminist approaches to musical theatre (co-written with Paige Allen) and an article examining composer Jeanine Tesori's contributions to the field.
Richard Futrell is an Associate Professor at the University of California, Irvine (UCI), affiliated with the Department of Language Science. He leads the Language Processing Group, focusing on computational models of human and machine language processing. His work bridges information theory, Bayesian cognitive modeling, and natural language processing (NLP) interpretability. University of California, Irvine Department of Language Science Language Processing Group leader His research examines how linguistic structures emerge from cognitive and communicative pressures. Key areas include dependency locality, surprisal theory in sentence processing, and efficiency-driven language evolution. He investigates how memory constraints, predictability, and information density shape syntactic and morphological patterns across languages. Recent publications analyze code-switching efficiency, syntactic priming, ERP component modeling, and agent-based language contact simulations. His work frequently employs Bayesian modeling, neural network analysis, and cross-linguistic corpora to uncover universal principles in language processing. ACL Best Paper Award (2024) Best Paper Award for Computational Modeling of Language (2023) Marr Prize for Best Student Paper (2017) He has developed datasets like SPACER for error repair analysis and contributed to phonotactic learning frameworks. His collaborations span cognitive scientists, computational linguists, and neuroscientists, advancing understanding of language production, comprehension, and structural optimization.
Professor Hannah Buchanan-Smith is a Professor of Psychology at the University of Stirling, Faculty of Natural Sciences. She holds multiple external roles including Member of the UK Zoos Expert Committee advising DEFRA and devolved governments, Leader of the 'Welfare and mixed-species living' project at the Living Links Executive Board, and Corresponding member of the Primate Society of Great Britain's Captive Care Working Party. Her research focuses on animal behavior, welfare, and ecology with a particular emphasis on non-human primates. Education: PhD from University of Reading, postdoctoral work at St Andrews University Research interests include comparative color vision evolution, refinement of laboratory animal care (3Rs principles), and welfare assessment in zoos. She promotes welfare through open-access resources like the Marmoset Care website and the NC3Rs Macaque Website. Collaborations include RZSS Edinburgh Zoo and Blair Drummond Safari Park. Recent articles explore cultural differences in zoo visitor attitudes, social dynamics in mixed-species exhibits, and welfare implications of circadian rhythms in captive pandas. Her work bridges theoretical research with applied welfare practices, emphasizing translational science between field observations and captive environments. Awards: Extensive professional recognitions through committee memberships but no specific named awards listed Advising: Supervised Dr. Lou Tasker (PhD) and others through BBSRC CASE studentships. Active in grant-funded projects including EU, BBSRC, and NC3Rs initiatives. Leads the 24/7 welfare approach framework for captive animals. Labs/Teams: Core member of Scottish Primate Research Group, affiliated with the Behaviour and Evolution Research Group at Stirling. Collaborates internationally through IUCN Species Survival Commission.
Cornelius Barry is an Associate Professor in the Department of Horticulture at Michigan State University, with affiliations to the Plant Breeding, Genetics and Biotechnology program, AgBioResearch, and the Molecular Plant Sciences Graduate Program. He joined MSU in July 2007 with a 75% research and 25% teaching appointment. Education: PhD and BSc from the University of Nottingham and University College of Wales Current roles: Director of NSF REU Site: Plant Genomics @ MSU His research focuses on the evolution of biochemical diversity within the Solanaceae family , particularly specialized metabolites like terpenoids, flavonoids, and alkaloids. He investigates their roles in plant defense, pollinator attraction, and human applications through genomics, metabolite profiling, and synthetic biology. Recent publications show expertise in alkaloid biosynthesis , trichome chemistry , and metabolic pathway engineering . Key collaborations include teams at Boyce Thompson Institute, Texas A&M, and University of Nottingham. He advises graduate students in Genetics , Biochemistry & Molecular Biology , and Molecular Plant Sciences programs.
