جست‌وجوی استاد و پژوهشگر

• Animal Welfare
• Animal Behavior
• Livestock Health
• +۷ مورد دیگر

Christoph Winckler is a Full Professor at the Institute of Livestock Sciences, Department of Agricultural Sciences, University of Natural Resources and Life Sciences, Vienna (BOKU). He is a leading expert in animal welfare, with a veterinary background and extensive research in livestock behavior, health, and ethical farming practices. His work is supported by major EU and national funding bodies, including the European Commission, Austrian Science Fund (FWF), and Federal Ministries. Research Interests: His primary research areas include animal welfare assessment, behavioral indicators of stress and boredom, organic livestock production, dairy and pig welfare, and the integration of animal welfare into quality management systems. He investigates both scientific and societal aspects of animal husbandry, focusing on sustainable and ethical practices. The recent trend in his publications shows a strong emphasis on developing and validating welfare indicators, particularly for pigs and dairy cattle. His work explores cognitive dimensions of animal welfare such as boredom, social support, and time perception, while also addressing practical issues like lameness, feeding systems, and co-grazing. There is a clear interdisciplinary and applied focus, combining behavioral science, data analytics, and on-farm implementation. Scientific Awards: Diplomate of the European College of Animal Welfare and Behavioural Medicine (2016) Förderpreis der Tierschutzombudsstelle Wien (2005) Advising and Grants: While specific student names are not listed, Winckler has supervised numerous theses and leads or participates in a wide array of research projects. He has been the principal investigator or project leader in over 40 projects, including major EU initiatives like the EU Reference Centre for the Animal Welfare of Ruminants and Equines and projects under the Horizon 2030 and ERA-NET frameworks. His grants span topics from digital welfare monitoring (D4Dairy) to natural feeding systems and low-arousal handling. Labs and Teams: He is a core member of the Institute of Livestock Sciences at BOKU and collaborates extensively with European networks such as the Welfare Quality® consortium and EURCAW. His research team investigates pig cognition, cattle behavior, and welfare assessment tools, often in partnership with institutions across Austria, Germany, Norway, and other EU countries.

Ivo Furnoمشاهده پروفایل

استاد مدعو

• Plasma Physics
• Fusion Energy
• Applied Physics
• +۳ مورد دیگر

Ivo Furno is an Adjunct Professor at the École Polytechnique Fédérale de Lausanne (EPFL) within the School of Basic Sciences ( SB ) and affiliated with the Swiss Plasma Center ( SPC ). He holds a joint appointment with the SPH-ENS unit and previously contributed to EDPY-ENS teaching initiatives. His research spans fundamental plasma physics, tokamak experiments (TCV program), and applied plasma technologies including plasma agriculture. Key Collaborations: AWAKE Run 2, DEMO Neutral Beam Injectors, SPIDER, RAID linear device Teaching: General Physics (Thermodynamics), Plasma Diagnostics in Tokamaks Research focuses on plasma turbulence , negative ion sources , self-modulation of relativistic proton bunches , and plasma-seed treatments . His work includes experimental validation of edge turbulence codes , microwave interferometer design , and helicon plasma characterization for fusion applications. Publications highlight 3D plasma dynamics , Langmuir probe analysis , and ion transport phenomena . He has supervised numerous PhD students, including those working on fast ion transport , negative hydrogen ion dynamics , and millimeter-wave diagnostics . Scientific Awards: No explicit awards listed in the data. Students & Collaborations: Mentored PhD candidates such as Riccardo Agnello (helicon plasmas), Rita Agus (plasma diagnostics), and Fabio Avino (dielectric barrier discharges). Past advisees include researchers in plasma agriculture (e.g., Alexandra Waskow) and tokamak experiments (e.g., Federico Nespoli).

• Pig Welfare
• Animal Welfare
• Feeding Behavior
• +۳ مورد دیگر

Iris Boumans is an Assistant Professor at Wageningen University's Wageningen Institute for Animal Science, specializing in Animal Production Systems . Her work bridges animal behavior modeling , precision livestock farming , and welfare assessment through innovative technologies like computer vision and machine learning . Active in applied ethology and agent-based modeling since 2013 Co-developer of 3D camera systems for pig posture/location tracking Recipient of three scientific awards for presentation and thesis excellence Key research themes include: Feeding behavior analysis and its links to health/stress Light spectrum/intensity impacts on circadian rhythms and growth Novel frameworks connecting circular economy principles to animal welfare Self-organizing maps for identifying behavioral types in sows Recent collaborations focus on ammonia exposure effects and sensor data aggregation for real-time welfare monitoring. Awards highlight her contributions to tail-biting modeling and feeding behavior analysis at international conferences. She supervises PhD candidates in projects like Enlighted Pigs and Drawing Pig Feeding Patterns , emphasizing individual variation and non-invasive assessment tools for improving pig welfare in modern farming systems.

Harald Koschمشاهده پروفایل

استاد

• Distributed Information Systems
• Big Data
• eHumanities
• +۳ مورد دیگر

Professor Harald Kosch serves as Vice President for Academic Infrastructure and IT at the University of Passau. Since 2006, he holds the Chair of Distributed Information Systems within the Faculty of Computer Science and Mathematics. He co-leads the tri-national IRIXYS research center (University of Passau, INSA Lyon, Università di Milano) and directs the German-French DFH/UFA Doctoral College. Current academic leadership roles Specialization in distributed systems and big data International research networks in digital innovation Recipient of French academic distinction His team develops tools for distributed information processing in multimedia and data-intensive applications, with applications in eHumanities and emergency logistics. Research emphasizes cross-border collaboration and technology transfer between academia and industry. Scientific distinctions include: Chevalier de l'Ordre des Palmes Académiques 2022 DFH Dissertation Prize (for Dr. Benjamin Planche) Active in EU digital strategy, Bavarian sustainability initiatives, and Franco-Bavarian AI competitions.

Weiming Xiangمشاهده پروفایل

دانشیار

• Cyber-Physical Systems
• Safe AI
• Formal Methods
• +۶ مورد دیگر

Dr. Weiming Xiang is an Associate Professor at the School of Computer and Cyber Sciences of Augusta University , Georgia. He transitioned from Assistant Professor (2019–2023) to his current role (2023–present). His academic journey includes postdoctoral positions at Vanderbilt University and University of Texas at Arlington , and a research associate role at the University of Hong Kong . He earned his Ph.D. (2014) in hybrid transportation systems from Southwest Jiaotong University , an M.Sc. (2007) in automation from Nanjing University of Science and Technology , and a B.E. (2005) in electrical engineering from East China Jiaotong University . Research Interests: Dr. Xiang focuses on formal synthesis and verification techniques for cyber-physical systems (CPS) , particularly addressing safety, security, and reliability in learning-enabled CPS . His work spans hybrid systems , neural network verification , control theory , and data-driven modeling , with applications in autonomous vehicles , power systems , and transportation . He develops scalable verification frameworks using reachable set computation , interval arithmetic , and polyhedral methods . Scientific Awards: NSF CAREER Award (2022) IEEE Senior Member (2017–present) Outstanding Reviewer awards from journals like IEEE Transactions on Automatic Control, Neurocomputing, and Journal of the Franklin Institute Top 1% Reviewers in Engineering, Publons (2018) Grants & Collaborations: Dr. Xiang leads multiple NSF-funded projects, including a $498,985 CAREER Award (2022–2027) for machine-learning-intensive CPS upgrades, a $499,000 CPS Program grant with Jason Orlosky (2022–2025) for XR-assisted h-CPS modeling, and a $270,913 NSF grant with Hoang-Dung Tran (2023–2026) for safety assessment of learning-enabled systems. He also contributes to Augusta University's CyberCorps Scholarships for Service program. Labs & Teams: Dr. Xiang leads the AI-CPS Lab , which explores intersections between artificial intelligence , formal verification , and cyber-physical systems . His lab collaborates on projects involving runtime safety monitoring , neural network compression , and hybrid control architectures .

Anthony C. Didlake Jr.مشاهده پروفایل

دانشیار

• Tropical Meteorology
• Radar Meteorology
• Mesoscale Meteorology
• +۳ مورد دیگر

Anthony C. Didlake Jr. is an Associate Professor in the Department of Meteorology and Atmospheric Science at The Pennsylvania State University, specializing in tropical and radar meteorology. His research utilizes land-based, airborne, and spaceborne radars combined with numerical models to investigate tropical cyclone dynamics, including formation, intensity changes, structural evolution, and environmental interactions. His primary research areas include: Tropical cyclone inner-core dynamics and secondary eyewall formation Radar-based analysis of convective processes in rainbands Mesoscale precipitation mechanisms and Doppler radar retrieval techniques Wind shear impacts on tropical cyclone structure Thermodynamic and microphysical processes in hurricanes Didlake's publication record demonstrates consistent focus on tropical cyclone structure evolution, particularly examining eyewall replacement cycles, asymmetric features, and rainband dynamics through advanced radar observations and modeling. His work bridges observational meteorology with numerical simulation to improve understanding of hurricane intensity changes. His research has been featured in major media outlets including Fast Company, The Conversation, and Mississippi Free Press, addressing topics such as hurricane storm surges, Gulf Coast hurricane risks, and climate change impacts on tropical systems. Didlake actively collaborates with researchers across institutions on field campaigns and modeling studies, contributing to both fundamental atmospheric science and operational forecasting improvements for extreme weather events.

• Health Policy
• Clinical Practice
• End-of-Life Care
• +۱۳ مورد دیگر

Amber E. Barnato is the John E. Wennberg Distinguished Professor and Director of The Dartmouth Institute for Health Policy and Clinical Practice at the Geisel School of Medicine, Dartmouth. She is also a Professor of Medicine. Her interdisciplinary roles span health policy, clinical practice, and health equity research. She holds an MD from Harvard Medical School, an MPH in Health Policy and Management from UC Berkeley, an MS in Health Services Research from Stanford University, and a BA in Physiology from UC Berkeley. Her academic journey reflects a deep commitment to improving healthcare systems and patient outcomes. Her research focuses on end-of-life care, physician communication, and health disparities. She investigates how organizational norms, implicit bias, and patient-provider interactions contribute to inequities in intensive care and life-sustaining treatments for seriously ill older adults. Her methodological expertise includes claims data analysis, qualitative interviewing, simulation studies, and behavioral trials. Her recent publications (2024–2025) reflect a strong trend toward digital health interventions for caregivers, behavioral nudges in healthcare leadership, racial disparities in cancer care, and innovations in advance care planning. These works span palliative care, oncology, health equity, and implementation science, demonstrating a cohesive and impactful research program. She has received the Distinguished Mentor Award from the University of Pittsburgh. Her scientific awards include continuous NIH funding since 2003 and leadership on over 25 extramural grants. She mentors extensively, having guided over 70 pre- and post-doctoral scientists and junior faculty. She leads major educational initiatives including the MPH, MS, MHCDS, and PhD programs at Dartmouth, as well as the Dartmouth Health Equity Research Pathways and the Levy Incubator, which supports healthcare delivery redesign. She leads the development of the Dartmouth Health Equity Atlas and oversees the Dartmouth Atlas of Health Care. She also founded ICUStoryWeb.org, a platform collecting family experiences in ICU decision-making.

Laxman Dhulipalaمشاهده پروفایل

استادیار

• Parallel Algorithms
• Graph Processing
• Parallel Clustering
• +۷ مورد دیگر

Laxman Dhulipala is an Assistant Professor in the Department of Computer Science at the University of Maryland, College Park, and a research scientist at Google Research in the Graph Mining team. He holds a Ph.D. from Carnegie Mellon University, advised by Guy Blelloch, and was a postdoctoral researcher at MIT with Julian Shun. Ph.D., Carnegie Mellon University Postdoctoral Research, MIT His research focuses on efficient parallel algorithms, particularly for graph processing and clustering. He explores theoretical and practical models of parallel computation aligned with modern hardware. His work spans parallel graph algorithms, computational geometry, and scalable systems for massive datasets. The recent publications demonstrate a strong trend in scalable and dynamic graph algorithms, with a focus on hierarchical clustering, connectivity, and benchmarking. Key themes include batch-dynamic updates, memory-efficient data structures, and practical parallel implementations for massive-scale problems. Many works appear in top venues such as SPAA, VLDB, NeurIPS, and SIGMOD. Best Paper Award at VLDB'25 Best Paper Award at SPAA'22 Best Paper Runner Up at VLDB'22 Distinguished Paper Award at PLDI'19 Best Paper Award at SPAA'18 Memorable Paper Award Finalist at NVMW'20 Honorable Mention, CMU SCS Dissertation Award Nominated for ACM Dissertation Award Dhulipala has advised and collaborated with numerous students and researchers, including Quinten De Man, Shangdi Yu, Jessica Shi, and others, contributing to influential projects such as Aspen, ParGeo, GBBS, and ParlayLib. He has received recognition for both theoretical and practical contributions to parallel computing. He teaches courses such as CMSC858N (Scalable Parallel Algorithms and Data Structures) and CMSC451 (Design and Analysis of Computer Algorithms). He is actively involved in building tools and frameworks for parallel algorithm development and evaluation, including benchmark suites and graph processing systems. His dual affiliation with academia and Google Research enables impactful, scalable research bridging theory and practice.

• HIV Epidemiology
• Medical Statistics
• Antiretroviral Therapy Outcomes
• +۷ مورد دیگر

Professor Caroline Sabin is a leading academic at University College London's Institute for Global Health, holding the position of Professor of Medical Statistics and Epidemiology. She serves as Director of the NIHR Health Protection Research Unit in Blood-Borne and Sexually Transmitted Infections at UCL, a role she has held since 2014, working in partnership with UK Health Security Agency and community stakeholders to develop extensive research programs addressing national health protection needs. Her educational background includes a Doctor of Philosophy from the University of London (1995), Master of Science from the University of Leicester (1991), and Bachelor of Science (Honours) from the University of Bath (1988). Professor Sabin has dedicated over 30 years to world-leading HIV research that has directly influenced national and international treatment guidelines. Her research focuses on documenting the global landscape of HIV since the introduction of combination antiretroviral therapy, with particular expertise in natural history of infection, prognostic markers for disease progression, antiretroviral therapy response, and adverse event identification. Through leadership roles in major cohorts like the D:A:D Study and UK CHIC Study, she has generated critical evidence on cardiovascular risks associated with specific antiretrovirals, late HIV presentation mortality, and HIV's relationship with aging processes. Professor Sabin's publication record exceeds 680 original research articles with over 64,000 citations and an h-index of 124. Her research has attracted over £35 million in grant funding, demonstrating significant translational impact on clinical practice and policy. Fellow of the Academy of Medical Sciences (2022) NIHR Senior Investigator Emeritus (since 2015) Author of >680 publications with >64,000 citations Grant income exceeding £35 million Co-author of best-selling textbook "Medical Statistics at a Glance" (63,000+ copies sold) As an educator, Professor Sabin has supervised 22 doctoral students (5 current) and 14 masters/iBSc students. She has developed influential training programs including the annual "Research Methods for HIV Research" course (160+ participants), the Specialist Registrar Intensive Training & Education (SpRITE) course, and the European VOICE Programme. Her textbook with Aviva Petrie has become essential reading for medical students across 89 countries. Through her leadership of the HPRU Academy, she has cultivated the next generation of health protection researchers, many of whom now hold senior positions internationally. Professor Sabin's research unit has conducted critical work during public health emergencies including the COVID-19 pandemic and mpox outbreak, providing responsive-mode support to UKHSA. Her team has developed cost-effectiveness models for screening initiatives and conducted feasibility studies for blood-borne virus testing in novel community settings, demonstrating practical applications of epidemiological research for public health protection.

Nikolay Yakovetsمشاهده پروفایل

استادیار

• Databases
• Data Intensive Systems
• Graph Databases
• +۳ مورد دیگر

Nikolay Yakovets is an Assistant Professor at the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). His research focuses on databases and data-intensive systems with specialization in graph data management, query processing optimization, and high-performance data engineering. He leads academic courses including Data Modeling, Database Technology, and Engineering Data-Intensive Systems. Education background includes: PhD in Computer Science from York University (2017) MSc and BSc in Computer Science from York University Research expertise spans: Foundational database technologies Graph query optimization algorithms Cardinality estimation methods Knowledge graph construction High-performance data processing architectures Publication trends show consistent focus on graph database systems, with recent works advancing property graph management, cardinality estimation techniques, and ontology-driven knowledge graphs. Research demonstrates strong emphasis on practical system efficiency and theoretical foundations. Active in student supervision with 41 supervised works recorded. No awards mentioned in source materials.

• Pain Assessment
• Healthcare Technology
• Nursing Informatics
• +۳ مورد دیگر

Martin Schiavenato serves as an Associate Professor in the Department of Nursing at Gonzaga University, where he leverages his background as a former newborn intensive care unit nurse to educate future nurses and advanced practice clinicians. His teaching portfolio spans foundational to graduate-level courses including Nursing Perspectives, Determinants of Health, Research & Information Management, Evidence-Based Practice for Quality & Safety, and Inferential Statistics, reflecting his commitment to developing innovative, compassionate healthcare professionals equipped for modern system challenges. His academic credentials include a Ph.D. in Nursing from the University of Central Florida, an M.S. in Sociology from Florida State University, and a B.S.N. from Florida State University. This interdisciplinary foundation informs his research at the intersection of clinical practice, technology, and social justice. Dr. Schiavenato's research centers on three interconnected domains: pain assessment methodologies (particularly in neonatal and pediatric contexts), healthcare technology innovation, and social justice in nursing. His work examines procedural distress in NICU settings, facial expression analysis for pain detection, and the development of medical devices for physiological monitoring. He approaches these areas through a lens of pragmatic innovation—what he terms the nursing tradition of 'making do'—to address systemic healthcare gaps with creative, implementable solutions. His publication history reveals a consistent trajectory from foundational pain expression studies (2006-2012) toward technology-integrated clinical applications (2013-2017), culminating in pandemic-era educational innovation (2021-2022). Key thematic threads include virtual simulation efficacy, heart rate variability analysis for pain assessment, and critical examinations of evidence-based practice frameworks like PICO. His scientific recognition includes membership in two prestigious programs: Robert Wood Johnson Nurse Faculty Scholars Program (national faculty development initiative) Pain in Child Health program (Canadian Institute of Health Research collaboration) As a medical device inventor, Dr. Schiavenato has developed systems for NICU heart rate variability assessment and contributed to pain measurement methodologies. His collaborative approach is evident in publications spanning nursing, biomedical engineering, and sociology, reflecting his commitment to interdisciplinary solutions for complex healthcare challenges. Current work focuses on virtual simulation tools and expanding inclusion frameworks within nursing education and practice.

Omid Vakili Ebrahimiمشاهده پروفایل

پژوهشگر

• Clinical Psychology
• Psychiatric Epidemiology
• Methodology
• +۸ مورد دیگر

Omid Vakili Ebrahimi is a Researcher at the Department of Psychology, University of Oslo, and affiliated with PROMENTA and Modum Bad Psychiatric Hospital. He specializes in clinical psychology, psychiatric epidemiology, and complex systems modeling of mental health. Education: Cand.psychol. (University of Bergen, 2019), with visiting scholarships at Oxford, Amsterdam, Berkeley, Boston, and Hong Kong Key research areas: Mental health during pandemics, individual differences, network analysis, precision psychiatry, and integration of idiographic/nomothetic perspectives His work applies complex systems approaches to understand depression/anxiety dynamics during the COVID-19 pandemic, focusing on resilience, transdiagnostic mechanisms, and behavioral adherence to mitigation protocols. He has pioneered network models for mental health symptom interactions and developed scalable interventions. Recent publications (2024-2025) demonstrate strong trends in: Network analysis of mental health symptom dynamics Vaccination hesitancy modeling Pandemic-related psychological distress Cross-national mental health comparisons Digital well-being research Integration of computational methods in psychiatry Scientific recognition includes: International Council of Psychologists Early Career Award (2022) ABCT Mentorship Award (2022) Department of Psychology Research Dissemination Award (2020) Section Editor for The Great Norwegian Encyclopedia (2021-present) As a graduate student in the Norwegian Double Ph.D. Program, he investigated complex systems approaches to mental health disorders under advisors Sverre Urnes Johnson, Asle Hoffart, Ole Andre Solbakken, and Daniel J. Bauer. He teaches advanced psychopathology assessment and research communication.

• Forest Growth and Yield Modeling
• Forest Biometrics
• Pine Plantation Management
• +۳ مورد دیگر

Mingliang Wang serves as a Researcher at the Plantation Management Research Cooperative (PMRC) within the Warnell School of Forestry and Natural Resources at the University of Georgia. His expertise centers on forest biometrics, with a specialization in growth and yield modeling for loblolly pine plantations across the southeastern United States, leveraging long-term experimental data to inform sustainable management practices. His research portfolio emphasizes: Forest Growth and Yield Modeling Pine Plantation Dynamics Forest Carbon Sequestration Silvicultural Treatment Impacts Stand Structure Analysis Statistical Biometrics He employs advanced regression techniques and longitudinal studies to quantify effects of thinning, fertilization, and site quality on plantation productivity. Analysis of his 15 most recent publications reveals consistent focus on loblolly pine ecosystems, with dominant themes including carbon stock dynamics, thinning efficacy, and species performance comparisons. Methodologically, he integrates nonlinear mixed-effects models and long-term experimental designs to address critical gaps in plantation forestry science. Dr. Wang actively contributes to the Plantation Management Research Cooperative (PMRC), a collaborative hub advancing science-based solutions for sustainable forest management through partnerships between academia, industry, and government stakeholders.

Selin Aslanمشاهده پروفایل

استادیار

• Applied Mathematics
• Computational Mathematics
• Imaging Science
• +۲ مورد دیگر

Selin Aslan serves as an Assistant Professor in the Department of Mathematics at Koç University, Istanbul, Turkey, where she conducts research at the intersection of computational mathematics and imaging science. Her academic appointments and research activities are centered within the university's mathematics department, contributing to both undergraduate and graduate education in mathematical sciences. Her educational qualifications include: PhD in Mathematics from Virginia Polytechnic Institute and State University (2018) Master's in Mathematics from Rochester Institute of Technology (2013) B.A. in Mathematics from Ege University (2010) Dr. Aslan's research program focuses on developing advanced computational methods for solving inverse problems in imaging, with particular expertise in phase retrieval, tomographic reconstruction, and ptychography. Her work bridges theoretical mathematics with practical applications in medical imaging, microscopy, and materials science, emphasizing algorithmic innovation and computational efficiency. She integrates techniques from deep learning, optimization theory, and high-performance computing to address challenges in image reconstruction under physical constraints. Analysis of her publication record reveals a consistent trajectory toward solving complex imaging problems through hybrid approaches that combine physics-based models with data-driven techniques. Her recent work demonstrates increasing emphasis on scalability for large datasets, robustness in photon-limited scenarios, and real-time processing capabilities, with applications spanning biomedical imaging to advanced microscopy. No scientific awards were documented in the available sources. Information regarding student advising and research grant activities was not specified in the provided materials, though her publication record suggests active research collaboration. Her computational focus implies engagement with high-performance computing resources for large-scale image reconstruction tasks. While specific laboratory infrastructure details were unavailable, her research on multi-GPU implementations and distributed computing indicates utilization of advanced computational facilities for handling large-scale imaging datasets.

Kaveh Asiaeiمشاهده پروفایل

مدرس ارشد

• Intellectual Capital
• Sustainability Accounting
• Performance Measurement Systems
• +۷ مورد دیگر

Kaveh Asiaei is a Senior Lecturer in Accounting at Birmingham City University, joining in July 2024. With over a decade in higher education, he previously served as a Senior Lecturer at Monash University, where he received accolades as an award-winning educator for three consecutive years. His expertise spans interdisciplinary research in intellectual capital, sustainability accounting, and performance measurement systems, complemented by practical industry experience as an auditor for five years. Kaveh holds a PhD in Accounting from the University of Malaya, an AACSB and AMBA-accredited institution ranked #60 globally by QS. Research Leadership: Supervised over 30 postgraduate students, focusing on intellectual capital , sustainability accounting , and performance measurement systems . Editorial Contributions: Editorial board member for Management Decision and reviewer for journals including British Accounting Review and Journal of Intellectual Capital . Recognition: Achieved outstanding teaching evaluations (scores above 4/5 for 20 semesters, with top scores: 4.93, 4.88, 4.87). His publications address critical areas such as green intellectual capital , environmental management accounting , and ESG pillars , often employing meta-analytical and machine learning frameworks. His work bridges academia and industry, emphasizing practical applications in corporate governance, fintech, and sustainable business strategies. Scientific Awards: Award-winning educator at Monash University (3 consecutive years)