جست‌وجوی استاد و پژوهشگر

Anna Applebyمشاهده پروفایل

مدرس

• Opera
• Ballet
• Electronic Music
• +۷ مورد دیگر

Dr Anna Appleby is a composer, performer, and educator based at the University of Sheffield as a Lecturer in Composition within the School of Languages, Arts and Societies . Her work bridges opera , ballet , and electronic music with a focus on community engagement and music education . She holds a first-class Music degree from the University of Oxford , where her studies were rooted in St Hilda's College’s feminist and musical history. Education: First-class degree in Music from University of Oxford Academic Affiliation: University of Sheffield (current), Royal Northern College of Music (Affiliate) Anna’s research interests combine collaborative composition , queer narratives , and neurodivergent representation in the arts. She explores multimedia performance , electronic integration in orchestral and operatic contexts, and music’s role in social cohesion . Her work often involves community co-creation and educational outreach . Her recent publications include Ghost (2024) , a digital Gesamtkunstwerk, and Bridges (2023) and Sonnet 43 (2023) focusing on emotional and instrumental interplay. Earlier works like Drought (2022) and Pay the Piper (2022) highlight collaborations with the BBC Philharmonic and youth ensembles. 2024: Associate Artist at Royal Northern College of Music 2022: YAM Awards for Best Opera for Young Audiences Anna mentors emerging composers and choreographers , with residencies at Rambert Dance Company (2016/17) and Joss Arnott Dance. She has secured grants from Arts Council England , PRS Foundation , and the RPS Drummond Fund . Her collaborations span Dane Hurst , Julie Cunningham , and Carolyn Bolton , with a consistent thread of innovative music-dance interplay .

Ane Lyngstad Oltedalمشاهده پروفایل

استادیار

• Documentary Film
• Media Theory
• Authenticity in Media
• +۴ مورد دیگر

Ane Lyngstad Oltedal is an Assistant Professor in the Department of Media and Social Sciences at the University of Stavanger, Faculty of Social Sciences. Her academic work bridges media theory, documentary film, and artistic research, with a strong focus on authenticity and truth construction in visual narratives. Research Interests: Her primary research areas include documentary film theory, the epistemology of truth in artistic documentaries, and the philosophical underpinnings of authenticity in media representation. She explores how filmmakers create experiential truth through aesthetic and narrative choices, particularly in non-fiction and hybrid forms. Publication Trends: Her recent publications reflect a consistent engagement with artistic documentary practices and the philosophical dimensions of media truth. The works span scholarly articles and artistic productions, indicating a practice-based research approach. Themes include cinematic authenticity, subjectivity in documentary, and the interplay between art and truth claims. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: There is no information available regarding student supervision, grant funding, or research projects in the provided content. Labs and Teams: No specific research labs, centers, or collaborative teams are mentioned in the available text.

• Cell Signaling
• Diabetes Research
• Optical Biosensors
• +۵ مورد دیگر

Dr. Megan A. Rizzo serves as Associate Professor in the Department of Pharmacology & Physiology at the University of Maryland School of Medicine, where her research integrates cell signaling, diabetes pathophysiology, and optical biosensor development. Her laboratory, situated in downtown Baltimore near the Inner Harbor, pioneers advanced imaging techniques to investigate molecular mechanisms underlying metabolic and cardiovascular diseases. Her educational foundation includes a PhD in Biochemistry from the University of Pittsburgh (2000) and a BA from Canisius College (1996), followed by postdoctoral training at Vanderbilt University. This background established her expertise in fluorescent protein engineering and live-cell imaging methodologies. Dr. Rizzo's research centers on glucokinase regulation in pancreatic beta cells, vascular smooth muscle contraction, and biosensor development. Her lab employs FRET-based probes and genetically engineered mice to study calcium-dependent signaling in diabetes and hypertension, with recent work focusing on RhoA/ROCK pathways during collective cell migration and metabolic coordination in islet cells. She has developed optimized fluorescent proteins like mCerulean3 for enhanced live-cell imaging. Analysis of her 2020-2024 publications reveals dominant themes in calcium-dependent Rho-kinase activation, gap junction-mediated metabolic coordination, and standardized 3D microscopy metadata. Her work bridges fundamental cell biology with translational applications through innovative biosensor platforms. Dr. Rizzo directs an active research program funded by multiple NIH grants including R01DK077140 (Regulatory Mechanisms of Insulin Secretion), R01HL122827 (Optical Biosensor Mice for Vascular Studies), R01MH111527 (BRAIN Initiative), and R21OD018315 (RhoA Sensor Development). Her laboratory trains graduate students and postdoctoral fellows in advanced imaging techniques and molecular physiology. The Rizzo Lab maintains a multidisciplinary team focused on developing optical biosensors for in vivo applications, with strong collaborations across the School of Medicine in diabetes, cardiovascular research, and neuroscience. Their work on arterial calcium dynamics in conscious mice represents a significant methodological advancement for longitudinal vascular studies.

Ashvin Goelمشاهده پروفایل

استاد

• Systems Software
• Cloud Computing
• Storage Systems
• +۵ مورد دیگر

Ashvin Goel is a Professor in the Department of Electrical and Computer Engineering and Department of Computer Science at the University of Toronto , where he leads research at the intersection of Operating Systems , Reliability Engineering , and Computer Security . His work focuses on ensuring software systems can withstand bugs and vulnerabilities, with publications in top venues like SOSP , OSDI , and FAST . He received his PhD in Computer Science and Engineering from Oregon Graduate Institute in 2003, with prior degrees from UCLA (MS) and IIT Kanpur (BS). Current research projects include runtime verification systems like Recon and intrusion recovery frameworks such as Taser , often in collaboration with Professor Angela Demke Brown. His team explores kernel instrumentation, file system consistency, and security recovery methods. NSERC Discovery Accelerator Award 2012 FAST Best Paper Award 2012 Google Faculty Research Award 2011 Netapp Faculty Award 2008 Ontario Early Researcher Award Professor Goel's recent publications address deterministic concurrency control, distributed graph mining, and storage system reliability. He teaches graduate courses in Dependable Software Systems and Distributed Systems , with prior course development in operating systems security and time-sensitive applications.

Mohamed Kariمشاهده پروفایل

پژوهشگر ارشد

• Human-Computer Interaction
• Mixed Reality
• Computer Graphics
• +۵ مورد دیگر

Mohamed Kari is a Presidential Postdoctoral Fellow at the Department of Computer Science, Princeton University , and an Associate Member at the University of Duisburg-Essen 's Integrated Information Systems research group. His work bridges Mixed Reality , Human-Computer Interaction , and Machine Learning , with a focus on semantically coherent, sensor-rich systems. PhD in Computer Science from University of Duisburg-Essen (with highest distinction) Fulbright Full Grant recipient for studies in the U.S. Research Interests span immersive technologies, sensor integration, and context-aware systems. He investigates how to seamlessly blend virtual actions with physical environments through Scene Responsiveness and develops audio-augmented reality applications like SoundsRide for automotive contexts. Article Trends reveal his focus on environmental manipulation in mixed reality affordance-synchronized user experiences pose-aware object substitution mobile and constrained VR input methods automotive context modeling Scientific Awards include Best Paper Awards at ACM UIST 2021 and 2023 Honorable Mention , as well as recognition for his dissertation with the highest distinction. Thesis Supervision at UDE involves rigorous requirements: English-language theses using LaTeX , original research with structured problem statements, and mandatory video presentations of contributions. He has guided students in topics like Intra-Company Networking Platforms and Automated UI Testing . Laboratory Affiliations include Princeton's Situated Interactions Lab , ETH Zurich's Sensing, Interaction & Perception Lab , and industry labs at Apple , Meta , and Porsche Emerging Tech Research .

Iztok Lebar Bajecمشاهده پروفایل

دانشیار

• Computer Graphics
• Artificial Life Modeling
• Fuzzy Logic
• +۶ مورد دیگر

Iztok Lebar Bajec is an Associate Professor at the Faculty of Computer and Information Science, University of Ljubljana, where he has been actively engaged in research and teaching since completing his PhD in 2005. His academic journey began with a Computer Science Programme at the Technical School Centre in Nova Gorica (1994), followed by undergraduate, master's, and doctoral studies at the University of Ljubljana. His research spans multiple interdisciplinary fields including computer graphics, fuzzy logic applications, quantum-dot cellular automata, and artificial life modeling. Professor Lebar Bajec's work uniquely bridges computer science with biological modeling, particularly in simulating collective animal behavior. His PhD dissertation focused on fuzzy logic modeling of bird flocking behavior, which has evolved into a significant research trajectory examining organized group dynamics in both biological and artificial systems. His recent publications reveal a dual research focus: on one hand, the application of fuzzy logic to model collective behavior in biological systems (particularly bird flocking and predator-prey interactions), and on the other hand, pioneering work in quantum-dot cellular automata for ternary computing systems. This unusual combination of research areas demonstrates his innovative approach to computational modeling across vastly different scales - from biological collectives to nanoscale computing elements. 3rd place at the 10th student paper competition, ERK'2000, Portorose, Slovenia (2000) Best high school graduate of the Technical School Centre in Nova Gorica, Slovenia (1994) Runner-up at the 17th Young Innovator Competition, Nova Gorica, Slovenia (1993) Professor Lebar Bajec has advised multiple graduate students including Jure Demšar (PhD), Miha Moškon (BSc), Primož Pečar (MSc), and Tomaž Orač (BSc). His current research is supported by several active projects including P2-0359 - Ubiquitous computing (2023-2027), J7-4642 - Fundamental research for development of speech resources and technologies for Slovenian (2022-2025), and PoVeJMo - Adaptive Natural Language Processing with Large Language Models (2023-2026). He is a member of the Computer Structures and Systems Laboratory where he has been active since 2000.

Paola Perucchiniمشاهده پروفایل

استاد

• Educational Psychology
• Child Development
• Intercultural Education
• +۳ مورد دیگر

Paola Perucchini is a Professor in the Department of Educational Sciences at the University of Rome III, specializing in child development, educational psychology, and environmental learning. Her work bridges early childhood education with interdisciplinary research on intercultural understanding, ADHD intervention, and sustainability pedagogy. Full Professor, Department of Educational Sciences Director of the Department of Educational Sciences Member of Academic Senate and Research Commission Her research focuses on reducing social biases, inclusive pedagogy, and the cognitive benefits of green environments. She pioneered the ODIS (Osservazione della DIScussione) framework for analyzing classroom communication and the Yesterday-Today-Tomorrow e-learning program for migration education. Recent publications (2023-2025) emphasize prosocial behavior promotion, intergroup coalition formation, and outdoor education's role in attention restoration. Earlier work (1997-2004) explores gestural development in autism and its implications for theory-of-mind cognition. She collaborates with the MuSEd – Mauro Laeng Museum of School and Education , integrating historical pedagogy with modern inclusive education strategies. Her teaching emphasizes socio-communicative teacher traits and remote learning adaptation, particularly in pandemic contexts.

Sandra Laiمشاهده پروفایل

پژوهشگر

• Movement Ecology
• Conservation Biology
• Wildlife Management
• +۳ مورد دیگر

Dr. Sandra Lai is a Postdoctoral Researcher at the Wildlife Conservation Research Unit (WildCRU) within the University of Oxford's Department of Zoology, affiliated with the Ethiopian Wolf Conservation Programme (EWCP). Her work focuses on movement ecology, carnivore behavior, and conservation biology in harsh environments. She completed her PhD at Université du Québec à Rimouski studying Arctic fox population genetics and winter behavior, followed by postdoctoral research on Arctic hare ecology and polar desert ecosystems. At WildCRU, she analyzes long-term EWCP data on Ethiopian wolf demographics, disease surveillance, and vaccination effectiveness while supporting field monitoring programs. Her research integrates ecological networks, animal behavior, and conservation strategies to address global biodiversity challenges. Education: PhD in Northern Biodiversity from Université du Québec à Rimouski (Canada), specializing in Arctic fox population dynamics. Postdoctoral training in Arctic hare ecology and polar desert studies. Current affiliations include the Canada Research Chair in Northern Biodiversity and WildCRU's Ethiopian Wolf Conservation Programme. Research Interests: Movement ecology of Arctic and alpine species, trophic interactions, conservation genetics, wildlife management, and the impacts of climate change on biodiversity. She employs satellite tracking, remote sensing, and agent-based modeling to study animal behavior and ecosystem functioning. Publications highlight interdisciplinary approaches to conservation, including endangered species rehabilitation, interspecific foraging associations, and applications of deep learning in ecological monitoring. Her work bridges field research with analytical tools to inform conservation policies and biodiversity management. Advising and Grants: No formal advisees listed. Contributions include biodiversity monitoring frameworks and wildlife management plans for endangered species in Arctic and Ethiopian ecosystems. Active in collaborative field projects with Indigenous communities and international conservation networks. Labs/Teams: Core member of WildCRU's Ethiopian Wolf Conservation Programme and collaborates with Arctic research networks. Leads analytical work on long-term ecological datasets and develops tools for wildlife monitoring, such as the FoxMask camera trap detection system.

• Distributed and Cloud Computing
• Machine Learning
• Heterogeneous Systems
• +۴ مورد دیگر

Ivor Spence is a Professor in the School of Electronics, Electrical Engineering and Computer Science at Queen's University Belfast. His academic role includes research and teaching in distributed and cloud computing, machine learning on heterogeneous systems, and benchmarks for satisfiability problems. He is actively involved in supervising PhD students, including Konstantin Bakanov and Ian McRitchie, focusing on topics such as heterogeneous computing and generative programming. His research interests span energy-efficient computing architectures, edge and federated learning systems, and algorithm optimization for heterogeneous hardware. He has contributed to projects like Energy-efficient Heterogeneous Computing at exaSCALE and FUSION/Numa Engineering , emphasizing practical applications in distributed systems and real-time analytics. Dr. Spence collaborates with industry partners through Knowledge Transfer Partnerships (KTPs), addressing challenges in edge computing and hardware-software co-design. His work has led to numerous publications in top-tier journals and conferences, including contributions to federated learning frameworks, DNN pruning systems, and video retrieval algorithms. He is affiliated with the Centre for Intelligent Sustainable Computing and has served on editorial boards and peer-review panels for IEEE Transactions and other venues. His research bridges theoretical computer science with practical innovations in high-performance and sustainable computing.

• Computer Architecture
• Operating Systems
• Memory Management
• +۵ مورد دیگر

Youngjin Kwon is an Associate Professor at the School of Computing, KAIST, and a member of the Computer Architecture and Systems Lab (CASYS). His work bridges systems research with practical applications in memory management, concurrency debugging, and energy-efficient computing. Recipient of Best Paper Awards at ACM SOSP'24, SOSP'21, and USENIX ATC'18 Honored with KAIST's EWON Endowed Chair Professor (2021) and Soo-Young Lee Teaching Innovation Award (2021) Awarded KAIST Breakthrough (2023) and Technology Innovation Award (2023) Research focuses on: Processing-in-Memory (PIM) and DRAM architectures Concurrency bugs in kernel and hypervisor systems Energy-efficient frameworks for large language models Memory disaggregation and tiered memory systems Trusted Execution Environments (TEE) for secure computing SmartNIC offloading and eBPF-based optimizations His recent publications highlight innovations in speculative decoding, memory safety, and system scalability. Awards reflect both technical excellence and pedagogical impact. He actively mentors graduate and undergraduate students in his lab, emphasizing hands-on research in cutting-edge system design.

Margherita Gerolimettoمشاهده پروفایل

استاد

• Economic Statistics
• Time Series Analysis
• Regional Economics
• +۲ مورد دیگر

Margherita Gerolimetto is a Full Professor at Ca' Foscari University of Venice's Department of Economics, where she holds multiple leadership roles including Department Committee Member, Communications Delegate, and Third Mission Activities Delegate. Her research centers on advanced statistical methodologies applied to economic systems, with particular focus on time series analysis and regional economic dynamics. Research Focus: Professor Gerolimetto's work integrates econometric innovation with regional economic analysis: Development of bootstrap methods for economic time series Spatial analysis of regional economic convergence Urban institutional structure and performance metrics Statistical modeling of migration and labor markets Publication Trends: Her recent scholarship demonstrates: Innovations in bootstrap methodologies for forecasting Applications to environmental and health economics Analysis of urban governance structures Spatio-temporal modeling of economic phenomena

• Multimedia Networking
• Telecommunications
• Edge Computing
• +۳ مورد دیگر

Prof. Gabriel-Miro Muntean is a Professor at the School of Electronic Engineering, Dublin City University (DCU), Ireland. He holds a Ph.D. (2003) from DCU and B.Eng./M.Sc. degrees in Software Engineering from Politehnica University of Timisoara, Romania. He co-directs the DCU Performance Engineering Laboratory and is a Principal Investigator with Insight and Lero National Research Centres. His research focuses on multimedia networking, wireless/energy-aware communications, and technology-enhanced learning. Education: B.Eng. Software Engineering (Politehnica University of Timisoara, 1996) M.Sc. Software Engineering (Politehnica University of Timisoara, 1997) Ph.D. Electronic Engineering (DCU, 2003) Research Interests: Quality-oriented adaptive multimedia streaming Energy-efficient networking Personalized learning technologies 5G/6G network architectures Edge computing optimization Publications & Grants: Over 450 papers, 4 books, and 26 book chapters (H-index=53) EU Horizon 2020 projects: Coordinator of NEWTON, Lead in TRACTION Awards: IEEE Fellow (202X) IEEE Broadcast Technology Society Fellow Advising & Labs: Supervised 25 PhD students and 15 postdocs Co-director of DCU Performance Engineering Lab

LillAnne Jacksonمشاهده پروفایل

عضو هیئت علمی

• Memory Consistency for Multiprocessor Architectures
• Computational Geometry
• Teaching Concurrency
• +۱ مورد دیگر

LillAnne Jackson is an Associate Teaching Professor and Associate Dean of Undergraduate Studies in the Department of Computer Science at the University of Victoria. She holds a PhD from the University of Calgary and has dual roles in academic leadership and teaching innovation within the Faculty of Engineering and Computer Science. Dr. Jackson’s research focuses on memory consistency for multiprocessor architectures, computational geometry, and pedagogical strategies for teaching concurrency in computer science. Her educational work emphasizes improving retention in STEM fields through innovative teaching methods and curriculum design. She has contributed to accreditation-driven curricular reforms and explored the efficacy of video-based instruction in technical education. Her technical research addresses challenges in parallel computing systems, including memory coherence models for architectures like Itanium and Sparc. Earlier work includes computational geometry projects such as polygon reconstruction algorithms and visibility analysis. Her articles span both technical computer science topics and educational methodologies, reflecting her dual expertise in technical systems and academic innovation. In her administrative role as Associate Dean, she oversees undergraduate academic policies and program development. She collaborates with faculty to enhance student experiences through curriculum modernization and pedagogical research. Dr. Jackson’s work bridges theoretical computer science with practical educational strategies to strengthen undergraduate education and technical workforce development.

Weixu Luمشاهده پروفایل

استادیار

• Social Media
• Mobile Media
• Digital Media Use in Social Environments
• +۳ مورد دیگر

Weixu Lu is an Assistant Professor in Communication Studies at the University of Wisconsin-La Crosse . He holds a Ph.D. in Communication (Rutgers University, 2019) and M.A. and B.A. in Sociology from East China Normal University. His research focuses on social media , mobile media , and digital media use in complex social environments , with additional interests in AI in communication education and accessibility for cochlear implant users in digital learning. Lu’s recent publications include studies on smartphone-mediated urban engagement ( Mobile Media & Communication , 2023), digital learning tools like Slack for synchronous education ( Communication Teacher , 2022), and collaborative research on accessibility in online videos. He has presented at the 75th International Communication Association Annual Conference (2024) and contributed to interdisciplinary initiatives such as the Hear, Here La Crosse oral history project . His teaching portfolio spans courses on media society , emerging media technology , and AI in communication , alongside prior roles as a Part-time Lecturer at Rutgers University (2016–2019). Lu collaborates with researchers across psychology and education , emphasizing the intersection of technology and human interaction. His work addresses both theoretical and applied challenges, including stress from digital media and the social dynamics of networked spaces.

• Forest Ecology
• Landscape Ecology
• Social-Ecological Systems
• +۳ مورد دیگر

Stacy McNulty is the Associate Director of Research at the State University of New York College of Environmental Science and Forestry (SUNY-ESF), based at the Newcomb Campus. She holds a PhD in Environmental Science (2023), an MS in Environmental and Forest Biology (1997), and a BA in Biology (1994). McNulty leads research initiatives at the Adirondack Ecological Center and Huntington Wildlife Forest, focusing on long-term ecological monitoring and applied conservation. Her research explores forest ecology, landscape dynamics, social-ecological systems, and biodiversity conservation in the Adirondack region. She employs Geographic Information Systems (GIS) and field studies to analyze impacts of recreation, development, and forest management on northern ecosystems. McNulty emphasizes participatory science and inclusivity, promoting opportunities for underrepresented students in field research. McNulty teaches specialized courses including EFB 484/684 Winter Ecology and mentors graduate/undergraduate researchers. She coordinates the Adirondack Long-Term Ecological Monitoring Program (ALTEMP), tracking salamanders, boreal birds, beaver activity, deer demographics, and forest phenology. Her publications reflect interdisciplinary work on boreal birds, amphibian conservation, forest diseases, and climate adaptation. She holds leadership roles in scientific organizations, including Past-President of the Organization of Biological Field Stations and co-founder of the Adirondack All-Taxa Biodiversity Inventory. McNulty serves on editorial boards and contributes to policy discussions on Adirondack conservation.