جست‌وجوی استاد و پژوهشگر

Hsiao-Chun Wuمشاهده پروفایل

استاد

• Statistical Learning
• Digital Signal Processing
• Wireless Communications
• +۹ مورد دیگر

Hsiao-Chun Wu is a Professor and holder of the Michel B. Voorhies Professorship at Louisiana State University (LSU), affiliated with the Division of Electrical & Computer Engineering within the School of Electrical Engineering and Computer Science. He earned his Ph.D. in 1999 from the University of Florida. His research focuses on statistical learning, embedded algorithms, digital signal processing, and wireless communications. Key areas include optimization techniques for detection and estimation, image/speech processing, and networked systems design. He has contributed to advancements in sensor deployment strategies, tensor-based signal processing, and machine learning applications for posture recognition and multimedia classification. Notable technical interests span computational photography, robust multichannel decorrelation, and energy-efficient data collection in wireless sensor networks. His work often integrates tensor analysis and graph convolutional networks to address challenges in high-dimensional data processing. Dr. Wu's academic contributions include pioneering methods for indoor line-of-sight coverage optimization and developing novel modulation recognition techniques. His research also addresses industrial IoT performance optimization and biomedical applications such as noninvasive activity recognition using mmWave radar.

HENRY N. YOUNGمشاهده پروفایل

استاد

• Clinical Pharmacy
• Public Health
• Medication Adherence
• +۶ مورد دیگر

Henry N. Young, Ph.D., is a Professor and Department Head in the Department of Clinical and Administrative Pharmacy at the University of Georgia’s College of Pharmacy . He holds the Kroger Professor title. His research focuses on clinical pharmacy practice innovations, health disparities, HIV prevention strategies, and medication adherence in underserved populations. He has contributed to advancing telehealth applications in cardiovascular disease management and evaluating barriers to opioid treatment access. His work frequently addresses social determinants of health and pharmacy’s role in public health initiatives. Key areas of expertise include: Pharmacy services and policy HIV prevention and PrEP implementation Medication adherence strategies Health equity research Implementation science in healthcare Recent studies highlight his work on: Racial disparities in antipsychotic utilization Pharmacist-led buprenorphine programs Telemedicine adoption among Medicare beneficiaries Long-acting injectable therapies for mental health and HIV He has received the prestigious Fellow of the American Pharmacists Association (FAPhA) honor. His research is supported by grants addressing pharmacy’s expanded role in community and clinical care settings.

• Primate Behavior
• Evolutionary Ecology
• Conservation Biology
• +۳ مورد دیگر

Martha Robbins is a Group Leader at the Max Planck Institute for Evolutionary Anthropology, based in Leipzig, Germany. Her research focuses on the evolution of sociality in gorillas, combining long-term field studies in Rwanda, Uganda, and Gabon with conservation initiatives. Robbins has led projects in Bwindi Impenetrable National Park (Uganda), Volcanoes National Park (Rwanda), and Loango National Park (Gabon), studying mountain and western gorillas. Her work integrates ecology, genetics, and behavior to understand primate social structures, reproductive strategies, and conservation challenges. Education: PhD in Zoology (University of Wisconsin, 1996), M.S. Zoology (University of Wisconsin, 1993), B.S. Biology/Psychology (University of South Carolina, 1989). Academic roles include: Research Associate, Max Planck Institute (1998–present) Visiting Assistant Professor, Gustavus Adolphus College (1997–1998) Lecturer, University of Wisconsin (1995–1997) Research interests emphasize gorilla feeding ecology, social behavior, genetics, and conservation. She collaborates with organizations like the North Carolina Zoo and Cleveland Metroparks Zoo on education programs. Her work highlights the interplay between ecological conditions, human impact, and primate population dynamics. Robbins also serves on conservation councils including GRASP and IUCN Great Apes committees. Key contributions include documenting gorilla dietary flexibility, analyzing group dynamics, and advocating for habitat protection. Her studies on mountain gorilla population growth and genetic diversity underscore the importance of long-term monitoring. Recent research explores facial expression coding (GorillaFACS), arboreal locomotion in gorillas, and the role of culture in primate conservation strategies.

Diana Langeمشاهده پروفایل

پژوهشگر

• Historical Cartography
• East Asian Studies
• Tibetology
• +۳ مورد دیگر

Professor Dr. Diana Lange is a researcher affiliated with the University of Hamburg, holding positions in the Faculty of Asian and African Studies (Asien-Afrika-Institut) and the Centre for the Study of Manuscript Cultures (CSMC). She is a principal investigator in the Cluster of Excellence ‘Understanding Written Artefacts’ (UWA), focusing on historical maps as knowledge resources. Her work emphasizes Tibetan cartography, East Asian map coloration, and the materiality of maps. Lange has authored/co-authored over 40 publications, including monographs like Colors on East Asian Maps (2023) and edited volumes such as Maps and Colours (2024). Her research bridges cultural heritage preservation, historical geography, and art history. Education: Doctoral degree in Sinology and Tibetology Affiliations: CSMC, UWA Cluster, Asien-Afrika-Institut Research interests center on mapping practices across cultures, with a focus on pre-20th century East Asia and the Himalayas. She leads projects analyzing mapmaking as a knowledge process, including the Harrer Collection and British Library’s Wise Collection. Recent articles explore Tibetan ethnographic mapping, Korean 19th-century cartography, and color symbolism in historical maps. She frequently presents at international conferences and organizes workshops on map analysis.

• Property Law
• Bioethics and Biolaw
• Real Rights
• +۴ مورد دیگر

Assoc. Prof. Stoyan Stavru, PhD, holds an associate professorship at New Bulgarian University's Department of Health and Social Work. His research focuses on property law, bioethics, and legal aspects of medical advancements. He has authored several monographs including "Property. Legal Aspects" (2010) and "Issues of condominium ownership" (2009). His work explores topics such as gender reassignment legal consequences, surrogacy regulations, and the legal implications of artificial intelligence. Education: Not explicitly stated in the provided text His research interests include property rights, real estate law, bioethical dilemmas in healthcare, and the intersection of technology with legal frameworks. Recent articles address surrogacy conflicts, gender identity legal recognition, and expropriation compensation mechanisms. He teaches courses like Bioethics and Biolaw: Introduction . Publications span monographs analyzing real rights over human bodies, condominium management, and probiotic law innovations. Collaborations include co-authoring works on public real rights with Petar Iliev.

• Indigenous Tourism
• Parks Management
• Wildlife Management
• +۵ مورد دیگر

Harvey Lemelin is a Professor at Lakehead University's School of Outdoor Recreation, Parks & Tourism. He holds a dual appointment with the Centre of Excellence for Sustainable Mining & Exploration. Specializing in parks and wildlife management, his research focuses on indigenous tourism, trail management, and last chance tourism. Since joining Lakehead in 2004, he has developed innovative teaching methods integrating community-service learning, particularly with First Nations communities like the Fort William First Nation and Red Rock Indian Band. His teaching portfolio includes field-based courses such as OUTD 2755 (Parks and Tourism), OUTD 3715 (Indigenous Tourism), and OUTD 3315 (Healthy Parks/Healthy People). Research emphasizes human-environment interactions in sensitive ecosystems, including polar regions and battlefield sites. Key projects include developing codes of conduct for indigenous tourism and assessing economic impacts of energy policy changes in rural Ontario. Publications highlight entomotourism's role in conservation and the sociocultural dimensions of insect-human interactions. His edited volumes explore polar tourism, last-chance tourism, and sustainable management practices. Collaborations with organizations like Parks Canada and indigenous groups demonstrate commitment to community-driven research and education.

• Human-Computer Interaction
• Information Visualization
• Software Tools
• +۴ مورد دیگر

James Eagan is an Associate Professor in the Design, Interaction, Visualization & Applications (DIVA) research group at Télécom Paris , affiliated with the Information Processing and Communication Laboratory (LTCI) and the Computer Sciences and Networks (Infres) department. His work bridges Human-Computer Interaction and Information Visualization , focusing on enhancing software expressiveness for users. James explores software malleability through projects like Webstrates (collaborative dynamic media) and Scotty (runtime toolkit overloading). His research integrates qualitative methods with prototype development to address user needs in code adaptation, data visualization, and small-screen interaction. Recent work includes AI explainability frameworks for financial crime detection and studying cognitive biases in XAI-assisted decision-making. He has received the ACM SIGSOFT 2015 Impact Award for his Tarantula debugging tool. His teaching portfolio spans courses in Human-Computer Interaction , Data Visualization , and Web Technologies at Télécom Paris. James actively recruits PhD and Master’s students for high-quality research in these domains. His office is located at 4.D24 , and he encourages students to contact him at james.eagan@telecom-paris.fr .

• Healthcare Data Analysis
• Healthcare Quality Improvement
• Health Policy
• +۴ مورد دیگر

Jacqueline Grady is an Associate Director of Data Management and Analytics and Information Security Officer at the Center for Outcomes Research & Evaluation (CORE) within the Yale School of Medicine. With over 35 years of experience in healthcare data analysis, her work focuses on developing and refining quality metrics, evaluating disease management programs, and enhancing risk adjustment models using Medicare claims data. She holds a Master's in Statistics and a Bachelor's in Biological Sciences from the University of Connecticut. Education: MS Statistics (University of Connecticut), BS Biological Sciences (University of Connecticut) Key Roles: Data Management Lead, Information Security Officer, Healthcare Analytics Expert Her research interests include hospital performance measurement, readmission reduction strategies, and the application of administrative claims data to improve healthcare outcomes. Notable contributions include developing algorithms to identify planned readmissions and refining models to predict Medicare payment systems. Collaborations with researchers like Harlan Krumholz and Joseph Ross highlight her work on cardiovascular outcomes, COPD mortality trends, and pandemic response analyses. Publications reflect her focus on quality improvement, including studies on orthopedic surgery outcomes, pandemic mortality associations, and COPD documentation artifacts. Though no formal advisees are listed, her contributions to collaborative research projects and quality measure development demonstrate significant mentorship in healthcare analytics. Labs/Teams: Core leadership in the Center for Outcomes Research & Evaluation (CORE), contributing to interdisciplinary teams focused on translational research and health policy.

• Neuroscience
• Neurophysiology
• Neural Plasticity
• +۳ مورد دیگر

Poonam Mishra is a Research Fellow in Neuroscience at Yale University's School of Medicine. Her primary appointment is in the Department of Neuroscience, focusing on cellular neurophysiology and neural plasticity mechanisms. Her research integrates experimental and computational approaches to study ion channel dynamics, adult neurogenesis, and network heterogeneities in the hippocampal dentate gyrus. Her work examines how structural and functional heterogeneities in granule cells contribute to plasticity and decorrelation in neural circuits. She investigates activity-dependent intrinsic plasticity mechanisms mediated by ion channels and explores computational models of multiscale plasticity in neural networks. Her studies also address the role of HCN channels in regulating neuronal excitability and the interplay between different ion channels in shaping neuronal responses. Mishra’s publications span topics such as theta burst-induced plasticity, network decorrelation, and multisensory motor representations in cortical regions. Her research bridges molecular, cellular, and systems-level neuroscience to understand fundamental mechanisms underlying brain function and adaptation. No scientific awards or grants are explicitly listed in the provided materials. She currently has no documented advisees or trainees, though her role likely involves collaborative research within the Yale Neuroscience community. Her work contributes to advancing theoretical frameworks for understanding hippocampal circuit dynamics and their implications for learning, memory, and neurological disorders.

• Grammatical Gender
• Dialectal Variation
• Norwegian Syntax and Morphology
• +۵ مورد دیگر

Ragnhild Eik is an Associate Professor of Nordic Linguistics at the Norwegian University of Science and Technology (NTNU), based in the Department of Language and Literature within the Faculty of Humanities. She is affiliated with the AcqVA research group and the GenVAC project, focusing on grammatical gender variation in Norwegian dialects. Her research explores syntax, morphology, dialectal variation, and language change, particularly in Norwegian and Sami languages. Eik teaches grammar, Norwegian as a second language, and scientific theory. Eik holds a PhD in Nordic Linguistics from NTNU (2019), supervised by Professors Tor Åfarli and Terje Lohndal, and an MA in Linguistics from NTNU (2014). Her doctoral work centered on Norwegian compound syntax. Her research interests include grammatical gender decline, dialectal variation, argument structure, and multilingualism. Recent work examines feminine gender loss in Norwegian dialects, documented in articles like "The decline of feminine gender: a cross-dialectal study" (2024) and "Ho trakka han på foten – ein eksoskeletal analyse av possessivt objekt" (2024). She also studies compound-internal language mixing in American Norwegian (2022) and verb semantics comparisons (2021). Eik actively disseminates research through media appearances (e.g., NRK radio) and public lectures. She collaborates with the GenVAC team on large-scale dialect data collection and participates in international conferences like Microvariation and Microchange in Scandinavian Languages (2024). Her work bridges theoretical linguistics with sociolinguistic and experimental methods, contributing to understanding language change dynamics.

• Software Engineering
• Web Engineering
• Edge Computing
• +۷ مورد دیگر

Kari Systä is a Professor of Software Engineering at Tampere University's Faculty of Information Technology and Communication Sciences. His career spans academia and industry, including 16 years at Nokia Corporation and current leadership in software engineering research. He teaches courses like Continuous Development and Deployment - DevOps and supervises Master's theses. Research Focus: Data-driven software engineering, web/cloud platforms, IoT architectures, energy systems software, and edge computing. Current Projects: LiquidAI (2023-2025) for IoT-Edge-Cloud ML systems; 6GSoft (2023-2026) for 6G software engineering; Microblock (2021-2023) on blockchain micro-credentials; and DELI (2023-2025) for energy research infrastructure. Research Unit: Leads work at TASE (Tampere Software Engineering Research Group). His expertise bridges software engineering theory and practice, with collaborations across Finnish universities and industry. He advocates for integrating AI/ML into software development workflows and optimizing energy systems through programmable edge-cloud solutions.

• Biostatistics
• Epidemiology
• Healthcare Outcomes Research
• +۴ مورد دیگر

Huihui Yu, PhD, is a Researcher in the Department of Internal Medicine at Yale School of Medicine. She holds a PhD in Research Methods, Measurement, and Evaluation from the University of Connecticut and dual Master/Bachelor degrees in Electrical Engineering. Her research focuses on advanced statistical methodologies including structural equation modeling, longitudinal analysis, and Bayesian approaches applied to public health and healthcare outcomes. Dr. Yu collaborates extensively with clinicians and epidemiologists on studies related to SARS-CoV-2 long-term effects, healthcare equity, and surgical outcomes. She has contributed to over 20 peer-reviewed publications since 2015, with recent emphasis on Long COVID symptom trajectories and hospital performance metrics. Education: PhD (2017) - University of Connecticut; MS/BS (Electrical Engineering) - unspecified institution Key Collaborations: INSPIRE Group (longitudinal cohort studies), Chronic Disease Outcomes Research Team Key Projects: INSPIRE Group's longitudinal SARS-CoV-2 studies, Medicare claims analysis for hospital quality measures, COPD mortality documentation patterns Her work bridges statistical rigor with clinical relevance, addressing critical issues in healthcare equity and patient outcomes through innovative methodological approaches.

• Colorectal Surgery
• Minimally Invasive Surgery
• Inflammatory Bowel Disease
• +۳ مورد دیگر

Vikram Reddy, MD, PhD, MBA, is an Associate Professor of Surgery (Colon and Rectal) and Chief of Colon and Rectal Surgery at Yale School of Medicine. He specializes in advanced minimally invasive colorectal surgeries, including laparoscopic and robotic techniques for cancer, inflammatory bowel disease, and complex gastrointestinal conditions. His clinical expertise includes sphincter-preserving rectal cancer surgery, transanal endoscopic microsurgery (TEMS), and corrective pouch procedures for failed ileal pouch-anal anastomosis. Dr. Reddy’s academic training includes an MD and PhD from the Medical College of Georgia (2003), residency at Yale-New Haven Hospital (2008), and a fellowship at the University of Medicine & Dentistry of New Jersey (2009). He holds an MBA from Yale University (2021). His research focuses on improving surgical outcomes, reducing postoperative complications like low anterior resection syndrome, and optimizing care for inflammatory bowel disease patients. He collaborates with multidisciplinary teams in programs such as the Inflammatory Bowel Disease Program and Hyperthermic Intraperitoneal Chemotherapy (HIPEC) Program. Awarded Connecticut Magazine’s Top Docs in 2015 and 2016, Dr. Reddy is a Fellow of the American College of Surgeons (FACS) and the American Society of Colon and Rectal Surgeons (FASCRS). His clinical practice emphasizes patient-centered care and innovative surgical techniques to preserve quality of life.

Daniel Garijoمشاهده پروفایل

دانشیار

• e-Science
• Semantic Web
• Research Software
• +۳ مورد دیگر

Daniel Garijo is an Associate Professor at the Artificial Intelligence Department of the Faculty of Computer Science, Universidad Politécnica de Madrid (UPM). He is a researcher at the Ontology Engineering Group and collaborates with the Information Sciences Institute at the University of Southern California. His research focuses on e-Science and the Semantic Web, emphasizing the understandability of research software and computational workflows through provenance tracking and Linked Data exposure . Key areas include FAIR principles, ontology engineering, and automated metadata extraction. Recent publications analyze FAIR software assessment metrics LLM applications for ontology engineering semantic artefact lifecycle optimization carbon emissions transparency RDF-star data integration His work bridges open science with practical standardization efforts in research software. He contributes to the Ontology Engineering Group at UPM, develops open-source tools (RO-Crate, SoMEF), and maintains semantic repositories via Github and ORCID .

• Neuromorphic Engineering
• Spiking Neural Networks
• CMOS Circuit Design
• +۳ مورد دیگر

Hugh Greatorex serves as a Researcher at the University of Groningen within the Faculty of Science and Engineering, affiliated with the Bio-inspired Circuits & Systems research group. His work centers on neuromorphic hardware design, specializing in spiking neural networks and event-based processing systems that prioritize energy efficiency and real-world applicability in robotics and embedded AI. His research spans critical areas in neuromorphic engineering: Neuromorphic Engineering Spiking Neural Networks CMOS Circuit Design Memristive Computing Event-based Vision and Audio Processing Symbolic Computation in Neural Hardware Greatorex integrates circuit design with neural algorithms to solve power efficiency challenges, frequently exploring beyond-CMOS technologies like memristors and multi-timescale neural dynamics for practical implementations. Analysis of his 14 recent publications (2022-2025) reveals a cohesive trajectory toward hybrid neuromorphic processors combining CMOS with emerging devices. Key contributions include the TEXEL and Fused-MemBrain architectures for beyond-CMOS integration, alongside advancements in event-based sensory processing and symbolic operations within spiking hardware. This work consistently bridges neural computation with symbolic AI paradigms while emphasizing scalability and robustness. No scientific awards were documented in available sources. Information regarding student advisement and research grants was not provided in the source materials. As a core member of Groningen's Bio-inspired Circuits & Systems group, Greatorex contributes to internationally collaborative projects focused on biologically inspired electronic systems for intelligent processing, with applications spanning edge AI and neural computation modeling.