جستجوی استاد راهنمای دانشگاهی

• Fuzzy Logic Programming
• Fuzzy Deductive Databases
• Automatic Program Transformation
• +۴ مورد دیگر

Pascual Julián-Iranzo is an Associate Professor in the Information Technologies and Systems Department at the Higher School of Computer Science, University of Castilla-La Mancha (UCLM), where he has served since April 2003. He is a founding member and current co-director of the DEC-tau research group focused on Declarative Programming and Automatic Program Transformation. His academic career includes over 27 years of university teaching experience across various positions, with significant contributions to curriculum development including the Degree Curriculum in Computer Engineering (2008/09 and 2009/10). Education Background: Doctor in Computer Science (1994-2000) from Universitat Politècnica de València, Department of Computer Systems and Computation His research centers on declarative programming languages with emphasis on fuzzy logic programming, functional-logic paradigm integration, and automatic program transformation. He pioneered work in proximity-based reasoning systems like Bousi-Prolog and FASILL, developing novel approaches for similarity-based unification, thresholded tabulation, and fuzzy deductive databases. His publications demonstrate consistent innovation in fuzzy logic semantics, particularly in handling truth degrees and semantic similarity measures for knowledge representation. Analysis of his 15 most recent publications reveals a strong trajectory in formalizing fuzzy logic programming frameworks, with increasing focus on practical implementations (2018-2023) after establishing theoretical foundations (2015-2017). Key thematic clusters include proximity-based unification algorithms (2018-2021), semantic frameworks for truth degree management (2016-2017), and real-world applications in natural language processing (2021) and security systems (2017). Research Recognition: Positive evaluation by CENAI for three consecutive research periods: [1997-2002], [2003-2008], and [2009-2014] Consistent publication record with 24 scientific journal articles (16 JCR-indexed) As an academic leader, Julián-Iranzo has supervised 2 doctoral theses and chaired the PROLE 2021 Conference Program Committee. His grant portfolio includes significant European funding, notably the MERINET project (2016-2019) supported by ERDF and MINECO. He has served on 12 conference program committees and reviewed for top journals including Journal of Theory and Practice of Logic Programming. His DEC-tau research group maintains active international collaborations, evidenced by coordination of the UCLM node in the ALFA Lernet Project (2005-2009) and partnership with Argentina's National University of San Luis (2009-2013).

Michael Peckaمشاهده پروفایل

دانشیار

• Auditory Neuroscience
• Spatial Hearing
• Active Sensing
• +۵ مورد دیگر

Michael Pecka is a Research Group Leader at the Division of Neurobiology within the Faculty of Biology at Ludwig-Maximilians-University Munich. As a Regular member of MCN and GSN full member, he leads the Pecka Lab which focuses on understanding neural mechanisms of real-world hearing through innovative behavioral paradigms and ecologically relevant contexts. The lab develops and utilizes novel experimental approaches to identify network representations, brain states, and defined behaviors during unrestricted self-motion. Dr. Pecka's research centers on active audition during natural behavior, with particular interests in spatial hearing under real-world circumstances, the role of context for predictive coding, goal-oriented behavior during active sensing, and the circuits of selective listening. His lab has developed the Sensory Island Task (SIT), a groundbreaking behavioral paradigm that allows studying sensory perception and neural processing in freely moving animals. This paradigm has been extended to human subjects (SITh) to investigate active hearing in humans. His research vision aims to bridge the gap between minimalistic experimental conditions and ecologically relevant settings to better understand neural processing dimensionality in natural contexts. Analysis of Dr. Pecka's publication record reveals consistent focus on auditory neuroscience with particular emphasis on spatial processing, neural coding mechanisms, and the relationship between self-motion and sensory perception. His work demonstrates a clear trajectory from basic neural mechanisms in the auditory brainstem toward more complex cognitive processes during natural behavior. The development of the SIT paradigm represents a significant methodological innovation that has enabled his team to study neural processing under conditions with greater ecological validity. Recent publications increasingly incorporate human subjects and mobile EEG technology, showing expansion of research scope toward translational applications. Dr. Pecka actively mentors multiple students at various levels, including PhD candidates and Master's students. His lab includes both animal and human research components, with projects examining goal-oriented behavior, neural circuits of active listening, and the role of sound sources in path finding. The lab collaborates with other research groups within LMU and internationally, contributing to a broader understanding of auditory processing and its applications for improving hearing aids and cochlear implants. The Pecka Lab operates as part of the Division of Neurobiology under Chair Prof. Grothe at LMU Munich. The lab environment fosters interdisciplinary research combining behavioral neuroscience, electrophysiology, computational analysis, and human psychophysics. Current team members include postdocs, PhD students, and Master's students working on various aspects of active sensing and auditory processing. The lab maintains strong connections with other neuroscience groups at LMU and participates in collaborative projects examining neural mechanisms across species.

Naoco Wowsugiمشاهده پروفایل

استاد

• Community-Engaged Art
• Social Practice Art
• Cross-Disciplinary Art
• +۷ مورد دیگر

Naoco Wowsugi is an Art Professor at American University's College of Arts in Washington, DC, where she teaches courses including ARTS-235 Artist's Perspective: Video Art, ARTS-245 Artist's Perspective: Digital Photography, and ARTS-475 Expanded Photography Studio. As a first-generation immigrant from Japan, she has established herself as a prominent community-engaged artist whose work examines belonging and inclusive community building through cross-disciplinary approaches. Wowsugi received an MFA from Virginia Commonwealth University and dual BFAs from the Kansas City Art Institute and Osaka University of Arts in Japan. Her educational background in both Japanese and American art institutions informs her unique perspective on cultural exchange and community engagement. Wowsugi's research interests center on community-engaged art practices that explore the intersections of nature, culture, and social justice. Her work often incorporates bioregionalism—the study of how nature affects local cultures—and investigates themes of belonging through portrait photography, participatory performance, sound healing, and horticulture. She creates platforms for community dialogue around food justice, immigrant experiences, and emotional processing, with a particular focus on how marginalized communities navigate urban spaces and cultural transitions. Her artistic output reveals a consistent exploration of community building through unconventional intersections—punk music with urban farming in 'Permacounterculture,' language learning with portraiture in 'Thank You for Teaching Me English,' and sensory experience with food justice in 'The Umami Taste Development Center.' These works demonstrate her commitment to creating participatory experiences that address social fragmentation while fostering connection through shared rituals and practices. The Surf Point Foundation Residency (2022) Oak Spring Garden Foundation Residency (2022) Wherewithal Project Grants from the Washington Project for the Arts and The Andy Warhol Foundation (2022) The Rauschenberg Residency (2017) Wowsugi actively mentors emerging artists through programs like Transformer's Exercises For Emerging Artists (E16), where she provides guidance to DC-based artists exploring video as a medium for socially conscious commentary. Her community-focused approach extends to collaborative projects such as 'Empathy Zone,' which connected artists in Washington, DC and Beijing to address challenges faced by immigrants and marginalized groups during the pandemic. She has secured significant grant support from organizations including The Andy Warhol Foundation, National Endowment for the Arts' Creativity Connects, and Washington Project for the Arts. Her work often involves collaborative community spaces like 'The Umami Taste Development Center' and 'Permacounterculture,' which functioned as greenhouse-venues where sound waves from punk performances nurtured wheatgrass that was then converted into wheatgrass shots for the community. These projects demonstrate her innovative approach to creating interdisciplinary spaces where art, ecology, and social practice converge to address contemporary urban challenges.

Lucía Martín Gómezمشاهده پروفایل

استادیار

• Computer Science
• Artificial Intelligence
• Internet of Things
• +۷ مورد دیگر

Lucía Martín Gómez is an Assistant Professor at the Faculty of Computer Science, University of Salamanca, specializing in Computer Science and Artificial Intelligence. She is affiliated with the MARATHON research group focused on mobile applications, internet of things, data processing, semantic technologies, and open data. Education: PhD in Computer Science (2020) from the University of Salamanca, thesis: Intelligent hybrid system for the analysis of multimedia content , supervised by Dr. Juan Francisco de Paz Santana and Dr. Vivian Félix López Batista. Her research bridges AI, robotics, and multimedia analysis. Key areas include empathetic human-robot interaction (e.g., CoCoBot, ECOES), gamification for education (VER USAL, LEARN&POP), and crossmodal synthesis (Drawing Music). Projects address social isolation in elderly populations and accessibility in speech comprehension (E-SPEECH). Recent publications (2022-2025) emphasize AI ethics , gerontechnology , and creative computing . Themes span humanoid companions for elderly users, emotional expression in robots, gamified escape rooms, and neural music generation from visual inputs.

Arsha Nagraniمشاهده پروفایل

پژوهشگر

• Machine Learning
• Multi-modal Learning
• Computer Vision
• +۵ مورد دیگر

Arsha Nagrani is a senior research scientist at Google AI Research , focusing on machine learning for video understanding. She earned her PhD at the University of Oxford under Andrew Zisserman with a Google PhD Fellowship , and completed her undergraduate studies at the University of Cambridge with mentorship from Roberto Cipolla and Richard Turner. Research Interests : Self-supervised and multi-modal machine learning Video recognition using sound and text Computer vision for wildlife conservation Cross-modal self-supervision in biometric matching Transformer-based architectures for temporal modeling Zero-shot learning with frozen models Scientific Awards : ELLIS PhD Award Google PhD Fellowship ICASSP 2021 Outstanding Paper Award INTERSPEECH 2017 Best Student Paper Award Service Contributions : Area Chair for CVPR23, ICCV23 Reviewer for top conferences (CVPR, ECCV, ICCV, BMVC, NeurIPS, ICML, AAAI) Organized workshops: Sight and Sound Workshop @ CVPR [2020-2022] VoxSRC Challenges @ INTERSPEECH Video Understanding Pentathlon @ CVPR 2020 Women in Computer Vision (WiCV) Workshops

Pascal Picartمشاهده پروفایل

استاد

• Digital Holography
• Coherent Imaging
• Optical Metrology
• +۶ مورد دیگر

Pascal Picart is a Professor at Le Mans University, France, and serves as Deputy Director of the Laboratoire d'Acoustique de l'Université du Mans (LAUM UMR CNRS 6613). He is affiliated with the School of Engineering and leads research within the Transducers team, focusing on Optical, Signal and Image Methods for Acoustics. With an extensive publication record including 115-120 journal papers, 27-30 invited talks, over 160 conference proceedings, 7 book chapters, and coordination of 4 books, Picart has established himself as a leading researcher in digital holography and coherent imaging techniques. His primary research interests center on coherent imaging based on digital holography and its applications to acoustics, mechanics, and fluid mechanics. Picart's work spans digital holography , speckle noise reduction , phase imaging , vibration analysis , and optical metrology . His team develops advanced techniques for full-field measurements, with applications ranging from structural mechanics to biomedical imaging and additive manufacturing process monitoring. Recent work emphasizes deep learning approaches for speckle denoising and phase retrieval in challenging conditions. Picart's publication portfolio demonstrates consistent innovation in digital holographic techniques, with recent trends showing increased focus on computational imaging , machine learning applications , and industrial process monitoring . His work bridges fundamental optical research with practical applications in materials science, manufacturing, and acoustics. The interdisciplinary nature of his research connects optics, signal processing, mechanics, and computer science. Fellow of OPTICA (formerly OSA) Member of SPIE, Société Française d'Optique (SFO), European Optical Society (EOS), Club EEA, and IEEE Picart co-founded a startup and has coordinated multiple research projects. His work at LAUM involves both fundamental research and applied projects, with connections to industrial applications in vibration analysis, non-destructive testing, and manufacturing process control. As Deputy Director of LAUM, he oversees one of France's leading acoustics research laboratories with extensive experimental facilities including specialized rooms for acoustic and vibration measurements, opto-acoustic experimentation platforms, and optical metrology equipment.

Bruno Jacobمشاهده پروفایل

پژوهشگر

• Speech Recognition
• Automatic Speech Recognition
• Speaker Verification
• +۳ مورد دیگر

Bruno Jacob serves as a Researcher at LIUM (Laboratoire d'Informatique de l'Université du Maine) within Le Mans University, France. His primary affiliation centers on speech technology research, with documented activity from 1994 to 2005 through 18 publications in major international venues. The LIUM laboratory provides his institutional base for advancing speech recognition methodologies. His research program focuses on overcoming fundamental challenges in speech processing through three interconnected thrusts: (1) enhancing large-vocabulary recognition via contextual transcription rules and phonological integration, (2) developing robust speaker verification systems for telephony applications, and (3) pioneering multimodal approaches that fuse acoustic and articulatory information using master-slave HMM architectures. This work consistently bridges theoretical modeling with practical implementation, as evidenced by open-source system development like Sirocco. Analysis of his 15 most recent publications reveals an evolutionary trajectory from foundational HMM research (1994-1996) toward increasingly sophisticated contextual and multimodal systems (1997-2005). Key thematic developments include the transition from isolated word recognition to continuous speech systems, integration of visual speech cues, and specialized applications in password-based verification. The publication pattern shows concentrated productivity peaking in the late 1990s with sustained contributions through 2005. Bruno Jacob maintains active research infrastructure through LIUM laboratory resources and has participated in externally funded initiatives like the PICASSO project for telephone speaker verification. His collaborative framework involves consistent partnerships with core French research units while leveraging European project structures for broader networking. The laboratory environment supports his focus on speech technology innovation through computational resources and academic partnerships. His research group operates within LIUM's computer science infrastructure at Le Mans University, specializing in speech processing toolchains. The laboratory context enables both theoretical algorithm development and practical system implementation, with historical emphasis on open-source frameworks. Current activities likely build upon his documented work in multimodal recognition and contextual rule integration, maintaining relevance to evolving speech technology challenges.

Igor Milunovićمشاهده پروفایل

استاد

• Environmental Protection
• Pollution Impact Assessment
• Soil Ecology
• +۴ مورد دیگر

Igor Milunović is a Full Professor at the Faculty of Natural Sciences and Mathematics, University of Banja Luka, specializing in Environmental Protection. His research focuses on the impact of pollutants on air, water, and soil, with a particular emphasis on bioremediation, climate change effects, and sustainable waste management. Education: Doctor of Biological Sciences (2013) Master of Biological Sciences (2007) Graduate in Technological Engineering (1988) His recent publications explore biomass energy, highway-related air and noise pollution, industrial waste characterization, and ecotoxicological effects of hydrocarbons and pesticides. His work spans interdisciplinary collaboration with institutions like the Academy of Sciences and Arts of the Republic of Srpska and the Ministry of Agriculture, Forestry, and Water Management. Current projects include the Program for the Development of Fisheries and Aquaculture in the Republika Srpska and climate risk research co-financed by the Fund for Environmental Protection and Energy Efficiency. He teaches courses such as Air Pollution and Protection, Environmental Protection Technology, and Energy-Related Environmental Economics. Laboratory Affiliations: Laboratory of Biochemistry and Molecular Biology Physiology and Microbiology Laboratory

Naomi Feldmanمشاهده پروفایل

استاد

• Computational Linguistics
• Cognitive Science
• Machine Learning
• +۵ مورد دیگر

Naomi Feldman is a Professor at the University of Maryland with dual affiliations in the Department of Linguistics and the University of Maryland Institute for Advanced Computer Studies (UMIACS) . She is also affiliated with the Department of Computer Science , the Program in Neuroscience and Cognitive Science , and the Computational Linguistics and Information Processing (CLIP) Lab . Her research focuses on computational psycholinguistics , applying methods from statistics, machine learning, and automatic speech recognition to model cognitive processes underlying speech perception, phonetic learning, and language acquisition . Key areas include understanding how humans learn language structure in complex environments and developing computational strategies to assist language learners and clinicians. Research combines infant phonetic learning with neural network modeling Investigates cross-linguistic speech recognition and selective attention mechanisms Explores language discrimination , developmental language disorders , and computational models of aphasia Her recent publications (2022-2025) cover topics such as reward-based language learning, rhythm analysis in speech, self-supervised speech representations, and argument role sensitivity in language models. These works have received recognition like the Computational Modeling Prize in Perception & Action and Best Paper Award Honorable Mention . Naomi actively advises students across three graduate programs: Linguistics , Neuroscience and Cognitive Science (NACS) , and Computer Science . Her research team includes postdocs, PhD candidates, and undergraduate collaborators. She has received grants including an NIH Pilot Grant to assist children with specific language impairment. She is a core member of the university's interdisciplinary Language Science community and participates in projects crossing multiple departments. Her lab maintains open-source code repositories for research reproducibility.

Mikko Lauriمشاهده پروفایل

پژوهشگر

• Multi-agent decision-making under uncertainty
• Active perception
• Computer vision
• +۵ مورد دیگر

Dr. Mikko Lauri is a Postdoctoral Researcher at the Department of Informatics, University of Hamburg, working in the Computer Vision Research Group. His research focuses on decision-making under uncertainty, active perception, and computer vision, with particular emphasis on multi-agent systems for cooperative tasks in robotics applications. His research interests include: Multi-agent decision-making under uncertainty Active perception and information gathering Computer vision for mobile robots Partially Observable Markov Decision Processes (POMDPs) Object pose estimation and visual object search Deep learning applications in robotics Lauri's recent work has focused on advancing theoretical frameworks for teams of agents to act cooperatively. His survey paper on POMDPs in robotics provides a comprehensive overview of decision-making under uncertainty in robotic systems. His research has practical applications in autonomous robots, including exploration, object pose estimation, and visual object search, with techniques that balance theoretical rigor with real-world implementation. Scientific contributions: Developed novel approaches for multi-agent active perception with prediction rewards Created methods for multi-sensor next-best-view planning using submodular optimization Advanced techniques for 6D object pose estimation using point clouds and deep learning Contributed to audio-visual signal processing for sound source separation Lauri collaborates extensively with researchers in the Computer Vision Research Group at the University of Hamburg and has worked with international collaborators from institutions including Aalto University (Finland) and the National University of Singapore. His work bridges theoretical foundations in decision-making under uncertainty with practical robotics applications.

• Natural Language Processing
• Machine Learning
• Unsupervised Learning
• +۴ مورد دیگر

Taylor Berg-Kirkpatrick is an Associate Professor in the Department of Computer Science and Engineering at the University of California, San Diego. He directs the BergLab research group, which focuses on developing machine learning methods for analyzing human language and artifacts, including historical documents, music, and multimodal data. His work bridges natural language processing, computational linguistics, and creative AI applications. Research Interests: Berg-Kirkpatrick's research spans unsupervised learning for language understanding, structured prediction models, and computational analysis of human artifacts. The BergLab specializes in: Deciphering historical documents and languages using computer vision and NLP Developing generative models for music and audio synthesis Creating novel methods for low-resource and unsupervised machine learning Cross-modal analysis between text, audio, and visual data Recent Publication Trends: His 15 most recent publications (2023-2024) demonstrate three key research vectors: advanced music generation using diffusion models and symbolic representations; computational analysis of historical artifacts including cuneiform tablets and early modern books; and foundational NLP work on model architectures, decoding methods, and multimodal systems. The work shows consistent innovation in generative AI, historical document processing, and efficient machine learning techniques. Awards and Honors: NSF CAREER Award for 'Modeling Language Evolution via Deep Probabilistic Factorization' (2022) Advising and Funding: Berg-Kirkpatrick has advised over 10 PhD students to completion on topics spanning NLP, music generation, and historical document analysis. His research is supported by the NSF CAREER grant and focuses on developing unsupervised methods for language evolution modeling. The BergLab maintains several open-source projects including Klavier (piano transcription), Ocular (historical document recognition), and Puck (high-speed parser). Lab Direction: The BergLab at UCSD develops computational methods for analyzing diverse human artifacts through interdisciplinary collaborations with historians, musicians, and archaeologists. Current projects include computational bibliography of early modern books, decipherment of historical ciphers, and generative models for symbolic music.

• Clinical Linguistics
• Phonetics
• Dysarthria
• +۴ مورد دیگر

Ben Rutter is a Lecturer in Clinical Linguistics at the University of Sheffield, within the School of Allied Health Professions, Nursing and Midwifery, Department of Human Communication Sciences. He joined the university in 2010 and currently serves as the Admissions Lead for the department. Dr. Rutter holds a BA in Linguistics from the University of York and a Ph.D. in Clinical Linguistics from the University of Louisiana at Lafayette. His research focuses on the application of linguistics and phonetics in speech and language therapy, particularly through the analysis of natural conversation. Key areas include: Clinical linguistics/phonetics and motor speech disorders (e.g., dysarthria) Interactional phonetics in therapeutic contexts Health humanities and literary representations of speech disorders Sociophonetic variation and speech acquisition Publications (2010-2025) demonstrate consistent focus on clinical applications of phonetics, including dysarthria analysis, phonological interventions for cleft palate, gender-affirming voice therapy, and transcription methodologies. Recent work shows increased emphasis on interdisciplinary approaches bridging linguistics, therapy, and medical humanities. No scientific awards, supervised students, or grant activities are mentioned in available sources.

Guitemie Maldonadoمشاهده پروفایل

مدرس

• Art History
• Contemporary Art Criticism
• Biomorphic Art
• +۴ مورد دیگر

Guitemie Maldonado is a Lecturer in Contemporary Art History at University of Paris IV , with a focus on biomorphic art , modern European art , and contemporary visual culture . She contributes extensively to art criticism through publications in Artforum , The Art Newspaper France , and Les Cahiers du MNAM , and hosts the weekly radio program Peinture Fraîche on France Culture. Born: 1971 Alma Mater: Ecole Normale Supérieure de Paris (Modern Literature), Art History Doctorate Her research spans biomorphism , abstract art , surrealism , and urban art , with notable books including The Circle and the Amoeba: Biomorphism in the Art of the 1930s and Reading Contemporary Art . Recent articles analyze topics like visual perception , Arte Povera , and surrealist techniques , reflecting her interdisciplinary approach. Her 15 most recent articles (2023-2025) cover diverse themes from David Hockney's floral motifs to Matthew Barney's sculptural defense , emphasizing contemporary visual culture , artistic processes , and modernist evolution . Contributions appear in major French publications like Connaissance des arts , artpress , and Artforum , often focusing on European and American art from the 20th-21st centuries.

Juha Pekka Samuli Salmitaivalمشاهده پروفایل

پژوهشگر

• Cognitive Neuroscience
• Auditory Attention
• Working Memory
• +۵ مورد دیگر

Juha Salmitaival is a Postdoctoral Researcher at the University of Helsinki's Department of Behavioral Sciences working on the Overloaded brain project, and a part-time Postdoctoral researcher at Aalto University's School of Science in the aioAALTO project. He serves as a doctoral program supervisor in Brain & Mind, Human Behavior, and Clinical Research programs under the Faculty of Medicine. His academic background includes a Doctor of Psychology from the University of Helsinki (2009) with a dissertation on "Human brain networks of auditory attention and working memory" with a Laudatur grade. Doctor of Psychology, University of Helsinki (2009) Licensed Psychologist, University of Helsinki (2009) Master of Philosophy, Cognitive Science, University of Helsinki (2004) Dr. Salmitaival's research focuses on cognitive neuroscience, particularly auditory attention and working memory networks in the human brain. His work combines experimental psychology with advanced brain imaging techniques including MRI, MEG, and EEG. He has made significant contributions to understanding attention mechanisms in both healthy individuals and those with neuropsychiatric conditions such as ADHD and autism spectrum disorders. His clinical expertise encompasses neuropsychological assessments for individuals with attention and executive function difficulties. His recent publications demonstrate a growing interest in social cognition and physiological responses, particularly in his 2025 paper on narcissistic traits and physiological arousal during self-disclosure. His research spans both basic cognitive neuroscience and clinical applications, with studies on Parkinson's disease, ADHD assessment using virtual reality, and multisensory attention processes. Faculty (Behavioral Sciences) Dissertation Award, University of Helsinki (2010) Human Brain Mapping Poster Award, Melbourne (2008) Human Brain Mapping Poster Award, Chicago (2007) Nordic Fun-NET Poster Award, Bergen (2005) Nordic Fun-NET Poster Award, Rymättylä (2004) Dr. Salmitaival has supervised multiple bachelor's theses and has been involved in numerous research projects including Overloaded brain, Functional networks of attention, and the Cognitive Neuroscience Cluster. He has received substantial research funding including from the Finnish Cultural Foundation and University of Helsinki Science Foundation. As an active member of the academic community, he serves on research committees and is a peer reviewer for major neuroscience journals including NeuroImage and Human Brain Mapping.

Sydne Recordمشاهده پروفایل

دانشیار

• Birds
• Ecology
• Environmental sciences
• +۶ مورد دیگر

Sydne Record is an Associate Professor of Landscape Conservation at the University of Maine, affiliated with the Department of Wildlife, Fisheries, and Conservation Biology in the College of Natural Sciences, Forestry and Agriculture. She is also associated with the Maine Agricultural and Forest Experiment Station. Ph.D. in Plant Biology from the University of Massachusetts Amherst B.S. from the University of Puget Sound Her research focuses on understanding the processes driving species distribution, abundance, and genetic/trait diversity across large landscapes and oceans. She integrates ecological theory and site-scale empirical data with quantitative analysis of regional/global ecological datasets. She teaches undergraduate and graduate courses in Wildlife Population Dynamics (WLE 410/411) and occasionally General Ecology (WLE 200), dedicating 50% of her time to teaching and 50% to research. Record’s work is supported by the Hatch project ME022425. Prior to joining UMaine in August 2022, she served as Associate Provost and Associate Professor of Quantitative Ecology at Bryn Mawr College. Professional roles include: Associate Editor of Methods in Ecology and Evolution Member of the National Ecological Observatory Network’s Science, Technology, and Education Advisory Committee