جستجوی استاد راهنمای دانشگاهی

Hannah Longمشاهده پروفایل

پژوهشگر

• Health Inequalities
• Evidence Synthesis Methods
• Cancer Screening
• +۴ مورد دیگر

Hannah Long is a Researcher at the University of Manchester, affiliated with the Division of Nursing, Midwifery and Social Work within the Healthier Futures Research Platform. Her primary role involves investigating health inequalities and public health policy impacts through evidence synthesis methods, with a focus on cancer screening outcomes and healthcare interventions. She currently holds an Open Research Fellowship developing data reporting guidelines for qualitative health datasets (DeNOTE study). Education: Hannah completed her BSc (Hons) Psychology (with International Study), MSc Health Psychology, and PhD in Health Psychology at the University of Manchester. Her PhD explored the psychological effects of false positive breast screening results, funded by NIHR Manchester Biomedical Research Centre and the University of Manchester. Research Interests: Her work addresses health inequalities, qualitative research methodologies, open science practices, and the psychological impacts of medical screening. She has conducted systematic reviews on shift worker health behaviors, false positive screening outcomes, and end-of-life carer support systems. Key Awards: She received the MSc Health Psychology Award for Outstanding Performance (2016) and was a runner-up for the British Psychological Society Division of Health Psychology Award (2017). Advising & Grants: Hannah has been funded by NIHR, Cancer Research UK, and the University of Manchester. Her collaborative projects include work on diabetes management systems (SuMMiT-D project) and cancer symptom help-seeking behaviors at the International Hub for Quality of Life Research. Labs/Teams: She is affiliated with the Manchester Centre for Health Psychology and contributes to interdisciplinary teams advancing open science practices and healthcare equity initiatives.

• Ethnomusicology
• Hindustani classical music
• Rhythmic analysis
• +۳ مورد دیگر

Professor Martin Clayton is a leading scholar in Ethnomusicology at Durham University's Department of Music. He holds a BA in Music and Hindi (1988) and a PhD in Ethnomusicology (1993) from SOAS, University of London. His research focuses on Hindustani classical music, rhythmic analysis, and embodied musical interaction, with a strong emphasis on interdisciplinary approaches combining computational methods and ethnographic fieldwork. Clayton has directed major research projects including the AHRC-funded 'Interpersonal Entrainment in Music Performance' and the EU's EnTimeMent initiative. He is a former editor of the British Journal of Ethnomusicology and has served on committees for the British Forum for Ethnomusicology and European Seminar in Ethnomusicology. His work bridges ethnomusicology, music psychology, and computational analysis, with key contributions to understanding entrainment in music performance across cultures. Recent publications explore rhythmic structures in North Indian rāga performance, computational analysis of musical gestures, and cross-cultural comparative studies. His research often employs innovative methodologies like automated video analysis and motion capture to study performer interactions. Clayton was elected a Fellow of the British Academy in 2020 and currently holds a Leverhulme Trust Major Research Fellowship. His advising spans projects on Indian classical music, Afro-Brazilian ritual music, and global guitar practices. Notable collaborations include work with computational music researchers and movement scientists, yielding datasets on entrainment in diverse musical contexts. Clayton’s work has been disseminated through edited volumes, software tools like movementsync , and international conferences.

Michael Hamمشاهده پروفایل

دانشیار

• Cybersecurity
• Cyber Operations
• Malware Analysis
• +۵ مورد دیگر

Dr. Michael Ham is an Associate Professor and Coordinator for Cyber Operations Initiatives at Dakota State University's Beacom College of Computer & Cyber Sciences. He leads the NSA-designated Center of Academic Excellence in Cyber Operations (CAE-CO) and oversees DSU's Cyber Operations bachelor's program and Ethical Hacking Certificate. His roles include teaching advanced cybersecurity courses, advising doctoral students, and coordinating cyber events like DakotaCon and GenCyber camps. Education: All degrees from Dakota State University — D.Sc. in Cybersecurity (202X), M.S. (20XX), and B.S. (20XX). Research focuses on cybersecurity education, penetration testing, malware analysis, and developing experiential learning tools. Key projects include open-source platforms for hardware reverse engineering and wireless security training using software-defined radios. He emphasizes cyber hygiene practices and offensive security principles in both teaching and industry consulting. Grants highlight his leadership in addressing cybersecurity workforce shortages, including NSF CyberCorps SFS programs (PI), GenCyber camps (Co-PI), and DoD scholarships. Recent publications address ransomware prevention, X.509 certificate validation, and pandemic-era ICT systems. Dr. Ham also serves as an independent security consultant, advising on infrastructure security, vulnerability remediation, and policy development for organizations. His work bridges academia and industry through practical, hands-on cybersecurity education and tool development.

Irene Nobeliمشاهده پروفایل

مدرس ارشد

• Bioinformatics
• Transcriptomics
• Regulatory RNAs
• +۳ مورد دیگر

Dr. Irene Nobeli is a Senior Lecturer and Education Lead (PG taught courses) at the School of Natural Sciences, Birkbeck, University of London. She specializes in computational biology and chemoinformatics, focusing on regulatory RNAs, transcriptomics in health/disease, brain disorders, and small molecule roles in biology. Her work bridges bioinformatics tools development and translational research. Administrative roles include directing the MSc Bioinformatics program and organizing the Sequence Analysis and Omics module. She collaborates with research centers like the Birkbeck Institute for Data Analytics (BIDA) and the Institute of Structural Molecular Biology (ISMB). Research interests span bioinformatics methodologies, Mycobacterium genomics, neurodevelopmental disorders, and computational drug design. Notable contributions include developing flexiMAP (alternative polyadenylation analysis) and baerhunter (bacterial non-coding RNA detection). Publications highlight her expertise in transcriptomics, bacterial pathogenesis, and neurobiological mechanisms. She actively engages in advancing computational methods for genomic data interpretation and translational medicine.

Sonja Wogrinمشاهده پروفایل

استاد

• Optimization
• Bilevel Programming
• Capacity Expansion Planning
• +۵ مورد دیگر

Sonja Wogrin is a University Professor (Univ.-Prof.) at Graz University of Technology (TU Graz), where she has been heading the Institute for Electricity Economics and Energy Innovation since August 2021. She holds a Dipl.-Ing. in Technical Mathematics from TU Graz (2008), a Master of Science in Computation for Design and Optimization from MIT (2008), and a doctorate in Electricity Systems from Universidad Pontificia Comillas (2013). Her educational background includes: Doctorate in Electricity Systems, Universidad Pontificia de Comillas (June 2013) Dipl.-Ing. in Technical Mathematics, Graz University of Technology (October 2008) Master of Science in Computation for Design and Optimization, MIT (June 2008) Professor Wogrin's research focuses on decision support systems in the energy sector, optimization methodologies, and particularly the problem of generation capacity expansion. Her work spans several key areas including bilevel programming, capacity expansion planning, energy storage systems, and time series aggregation for energy system optimization. She has made significant contributions to understanding how to integrate renewable energy sources into power systems while maintaining economic efficiency and grid stability. Her research often addresses the challenges of decarbonizing electricity systems through advanced mathematical modeling and optimization techniques. Her recent publications demonstrate a strong focus on improving the computational efficiency of energy system models while maintaining accuracy, with particular attention to the integration of renewable energy sources, energy storage systems, and the development of resilient energy communities. She has pioneered work on time series aggregation methods that balance computational tractability with model accuracy, which is crucial for long-term energy planning under uncertainty. Professor Wogrin has received several prestigious awards and fellowships including: 4th EASE Student Award for "Co-Optimisation of energy storage technologies in tactical and strategic planning models" (2019) Beca de movilidad para investigadores "NILS Ciencia y Sostenibilidad" (2015) Beca Erasmus "Personal Docente/Investigador" de formación (2016) Beca Iberdrola de ayuda a la investigación en energía y medio ambiente (2020) She leads multiple significant research projects including EU - NetZero-Opt, RINGs, iKlimET, V2G-QUESTS, and CIDEAL, which focus on optimizing energy systems for net-zero emissions, resilient energy networks, climate and energy system modeling, vehicle-to-grid integration, and industrial decarbonization. Her work has substantial practical implications for energy policy and grid operations in Austria and beyond. Professor Wogrin collaborates extensively with industry partners including Austrian Power Grid AG, KELAG, and Netz Niederösterreich, ensuring her research addresses real-world energy challenges. Professor Wogrin leads the research group at the Institute for Electricity Economics and Energy Innovation, which develops advanced optimization models for energy systems. Her team has created the LEGO (Low-carbon Expansion Generation Optimization) model, an open-source tool for energy system optimization that has gained international recognition. The group's work spans from fundamental optimization methods to practical applications in energy system planning and operation, with a strong emphasis on computational efficiency and model accuracy.

• Higher Education Pedagogy
• Academic Development
• Blended Learning
• +۴ مورد دیگر

Dr Alison Gilmour is a higher education academic specializing in learning and teaching enhancement. Currently serving as Lecturer in Learning Transformation at the University of the West of Scotland (since 2021), she previously held roles as Associate Professor and Lecturer in Learning and Teaching at the University of Greenwich, and Educational Advisor at Queen Mary University of London. Her career includes seven years in Learning Enhancement roles at the Open University in Scotland. She is an External Examiner at the University of Essex (since 2021) and PhD Supervisor at the University of Greenwich (since 2020). Her research focuses on pedagogies of care, blended learning strategies, and embedding wellbeing in curricula. She has led cross-sector projects on Scottish HE teacher professional development (2012-14), student feedback analysis (2018), and retention/progression data (2019), and contributed to national initiatives like the Advance HE Embedding Wellbeing in the Curriculum project (2019-2020) and QAA Collaborative Enhancement Project (2021-2022). Education: PhD in Sociology/Economic History (focused on post-war Scottish industrial relations) and postdoctoral fellowship with the Economic History Society Teaching: Module leader on Advance HE-accredited programs, mentor for fellowship pathways, and Open University Associate Lecturer since 2009 Dissemination: Prioritizes practice-oriented outputs including blogs, workshops, OERs, and peer-reviewed articles Key research interests include compassionate-focused pedagogy, online community-building, and the agency of academic developers. She actively engages with international higher education networks through invited speaking engagements and podcast contributions.

• Data Quality
• Database Systems
• Data Profiling
• +۷ مورد دیگر

Felix Naumann is a Professor at the Hasso Plattner Institute in Potsdam, Germany, specializing in data management and database systems. His research focuses on data quality, data profiling, entity resolution, functional dependencies, and database optimization. He has authored over 300 publications in top-tier conferences and journals, including VLDB, SIGMOD, and ICDE. His work bridges theoretical foundations with practical systems, such as TASHEEH for data cleaning and PRISMA for privacy-preserving schema matching. He serves as an editor for the ACM Journal of Data and Information Quality and has led initiatives on hybrid conference formats and inclusive computing. Key contributions include: Data Quality: Pioneered studies on data quality's impact on machine learning and developed tools like AutoTSAD for anomaly detection. Data Dependency Discovery: Advanced functional and inclusion dependency mining algorithms, including Hitting Set Enumeration methods. Schema Matching & Integration: Created systems like BrewER and Frost for entity resolution and schema alignment. Educational Impact: Led massive open courses in data engineering with over 10,000 participants. His work emphasizes practical applications in cultural heritage data (ReCLAIM), Wikipedia table analysis, and cross-platform data systems (RHEEMix). He collaborates extensively with industry and academia, addressing challenges in dynamic datasets and data governance.

Shawn Clarkمشاهده پروفایل

استاد

• River Ice Engineering
• Hydraulics
• Environmental Fluid Mechanics
• +۳ مورد دیگر

Dr. Shawn Clark is a Professor and Head of the Department of Civil Engineering at the University of Manitoba's Price Faculty of Engineering. He holds a B.Sc. (2002) and Ph.D. (2007) in Civil Engineering from the University of Manitoba. His research focuses on river ice engineering and hydraulics, combining field monitoring, laboratory experiments, and numerical modeling. Current research interests include supercooling analysis, ice roughness estimation via drones, and freeze-up jamming dynamics. Education: Ph.D. Civil Engineering, University of Manitoba (2007) B.Sc. Civil Engineering, University of Manitoba (2002) Research emphasizes cold regions engineering challenges, such as ice formation prediction, river hydraulics under ice cover, and advanced modeling techniques. His work bridges theoretical models with practical field applications, leveraging technologies like remotely piloted aircraft for data collection. Publications reflect a focus on numerical simulations of ice processes, energy budgets in supercooling, and experimental hydraulics. No scientific awards are explicitly listed in the provided text. Dr. Clark actively advises students seeking opportunities in water resources engineering, prioritizing applicants with fieldwork enthusiasm and problem-solving skills. His research group collaborates on projects involving river ice dynamics and environmental fluid mechanics.

Tsz-Yan Milly Loمشاهده پروفایل

دانشیار

• Pediatric Critical Care
• Data Informatics
• Neurocritical Care
• +۳ مورد دیگر

Dr. Tsz-Yan Milly Lo is an Honorary Reader at the University of Edinburgh’s Usher Institute and a Consultant Paediatric Intensivist at the Royal Hospital for Children and Young People in Edinburgh. She leads the Research Programme in Paediatric Critical Care Medicine and holds the NHS Research Scotland Career Research Clinician Award. Her work focuses on leveraging data informatics to improve outcomes for critically ill children, particularly in neurocritical care and brain trauma. She leads international initiatives like KidsBrainIT (a EU-funded pediatric brain trauma data initiative) and Window in the Brain (developing seizure detection tools). Dr. Lo’s education includes clinical training across Edinburgh, Birmingham, and Melbourne, complemented by a PhD and post-doctoral fellowships in Edinburgh and Toronto. Her research spans clinical informatics, multi-disciplinary data integration, and translational medicine. Key collaborations include academic, clinical, and industry partnerships (e.g., with BrainsView Ltd and engineers at the University of Edinburgh). Her scientific impact includes over 20 peer-reviewed publications, with recent work emphasizing intracranial pressure monitoring, EEG-based seizure detection, and pediatric critical care quality improvement. Her grants total over €1M, including EU NEURON funding and MRC support. She supervises a dynamic research team focusing on innovation in critical care informatics and clinical excellence. Grants: £90,953 (G-WiB), £298,740 (WiB-2), £103,164 (WiB-1), €621,834 (KidsBrainIT). Public Engagement: Launched Scotland’s first PPIE group for pediatric critical care (Intensive-Share). Her lab, IMPACT-ACE, emphasizes clinician-scientist collaboration to drive evidence-based improvements in pediatric critical care. Current projects include global seizure detection tools and pediatric brain trauma big-data analytics.

• Autism Spectrum Disorder (ASD)
• Gut Microbiome Research
• Computational Materials Science
• +۳ مورد دیگر

James Adams is the President's Professor in the School for Engineering of Matter, Transport and Energy at Arizona State University (ASU), serving as the undergraduate program chair for materials science and engineering within the Ira A. Fulton Schools of Engineering. His research spans computational materials modeling and biomedical investigations into autism-related issues such as nutritional deficiencies, heavy metal toxicity, and gut microbiome dysregulation. He directs the Autism/Asperger's Research Program at ASU, focusing on translational research to improve clinical outcomes. Education: Ph.D. Materials Science and Engineering, University of Wisconsin-Madison (1987) M.S. Materials Science and Engineering, University of Wisconsin-Madison (1986) B.S. Physics, Duke University (1984) Research Focus: Adams bridges materials science and biomedical engineering, with seminal work on microbiota transfer therapy for ASD, metabolomics in autism, and heavy metal toxicity. His studies emphasize clinical applications, including nutritional interventions and dietary therapies to address gastrointestinal and neurobehavioral symptoms in children with ASD. Grants & Awards: Presidential Young Investigator Award (NSF, 1996–1998) Over 30 research grants from NSF, DOE, and industry partners (e.g., Motorola, CFD Research Corp) Labs/Initiatives: Biodesign Center for Health Through Microbiomes Autism/Asperger's Research Program Teaching: Courses include undergraduate/graduate research supervision (MSE 792, 799), honors thesis指导, and engineering foundations (FSE 100). He mentors students in materials science, biomedical engineering, and interdisciplinary projects.

• Quantitative Methods
• Equivalence Testing
• Robust Statistics
• +۲ مورد دیگر

Robert A Cribbie is a Professor in the Department of Psychology at the Faculty of Health, York University. His work focuses on quantitative methods for psychological data analysis, particularly equivalence testing, multiplicity control, and robust statistical procedures. Current research emphasizes negligible effect testing, Bayesian statistics, and longitudinal data modeling Active in teaching graduate/undergraduate courses: Statistical Methods, ANOVA, Regression, Multivariate Analysis PI of multiple SSHRC grants (2020-2026) for equivalence testing and statistical modeling research Advisor to 12+ graduate students including Victoria Celio, Naomi Martinez Gutierrez, and Udi Alter Leads Robust Statistics Lab which developed the 'negligible' R package for equivalence analysis Recent publications address: • Equivalence testing in structural equation modeling (2024-2025) • Methodological improvements for Bayesian statistical guides (2025) • Multiplicity control practices in psychological research (2025) • Effect size interpretation standards (2023)

• Biometrics
• Biometric Systems
• Computer Vision
• +۵ مورد دیگر

Raul Sanchez Reillo is a Full Professor at Universidad Carlos III de Madrid (UC3M), affiliated with the Grupo Universitario de Tecnologías de Identificación (GUTI). His research focuses on biometric systems, mobile authentication, and security technologies. Key areas include presentation attack detection, vein recognition, and ECG biometrics. He leads projects involving smartphone-based biometric solutions, 3D printed markers, and standards development for biometric interoperability. Research interests span multiple modalities: fingerprint authentication, dynamic signature verification, gait recognition, and vascular biometrics. He emphasizes usability and accessibility in mobile environments, exploring ergonomics and user interaction challenges. His work integrates machine learning (transformers, RNNs) with hardware solutions like FPGA-based systems. Publications highlight innovations in spoofing detection, medical applications (ECG/vein analysis), and low-cost hardware implementations. He contributes to European standards (BioAPI, Hand Data Interchange Format) and evaluates security practices for R&D compliance with EU data protection regulations. Current initiatives include enhancing biometric systems for critical infrastructure security and improving accessibility for elderly users. Active in interdisciplinary collaborations, he leads the Mobile Pass project evaluating user interaction in biometric systems. His lab (GUTI) develops open testing methodologies for biometric performance under Common Criteria and environmental stressors. Recent work addresses vulnerabilities in mobile fingerprint sensors and the ethical implications of biometric-as-a-service models.

George Bosilcaمشاهده پروفایل

استاد پژوهش

• Distributed Algorithms
• Parallel Programming Paradigms
• High Performance Computing
• +۳ مورد دیگر

George Bosilca is a Research Professor at the University of Tennessee, Knoxville, affiliated with the Department of Electrical Engineering and Computer Science and the Innovative Computing Laboratory. He holds a PhD in Computer Science (University of Paris XI, 2004) and an MS in Math and Computer Science (University of Paris XI, 1999). His research focuses on distributed algorithms, parallel programming paradigms, performance modeling/optimization, and resilience in programming models. He contributes to exascale computing initiatives through projects like PaRSEC and Open MPI. Key research areas include task-based runtimes, MPI standardization for exascale systems, and fault-tolerant distributed computing. His work emphasizes scalable and portable constructs for high-performance applications. Bosilca is involved with the Innovative Computing Laboratory (ICL) and collaborates on projects like the EPEXA ecosystem and Argobots threading framework. Recent publications highlight advancements in asynchronous many-task systems, GPU-accelerated collective operations, and resilience strategies for HPC platforms. His contributions span theoretical frameworks and practical implementations, bridging algorithmic innovation with real-world HPC challenges.

Paul Rosenمشاهده پروفایل

دانشیار

• Scientific Visualization
• Topology-Based Methods
• Network Visualization
• +۳ مورد دیگر

Paul Rosen is an Associate Professor at the University of Utah, affiliated with the Scientific Computing and Imaging Institute and the Kahlert School of Computing. He holds a Ph.D. in Computer Science from Purdue University (2010). Prior to his current role, he was an Assistant/Associate Professor at the University of South Florida (2015–2022) and a Research Assistant Professor at the University of Utah's SCI Institute (2010–2015). Research Focus: Rosen specializes in topology-based visualization techniques, with emphasis on network visualization, uncertainty quantification, and perceptual studies. His work bridges computational methods with human perception, aiming to enhance data understanding through effective visual design. Awards & Recognition: National Science Foundation CAREER Award (2019) Best Paper Awards at PacificVis 2016, IVAPP 2016, and multiple other conferences Honorable Mentions for IEEE VIS and VAST Challenge submissions Leadership: As General Chair of IEEE VIS 2024, Rosen led the planning for this flagship visualization conference, emphasizing community-driven design and in-person collaboration. Education Contributions: His research includes pedagogical innovations, such as predictive modeling for student feedback and peer review analysis in visual literacy courses.

Andreea Onigaمشاهده پروفایل

استادیار

• Digital Marketing
• Digital Consumer Behaviour
• Social Media Marketing
• +۵ مورد دیگر

Andreea Oniga is an Assistant Professor in Digital Marketing at Edinburgh Business School, Heriot-Watt University, UK, a position she has held since January 2024. She is affiliated with the School of Social Sciences and actively contributes to teaching, research, and academic leadership. She currently serves as Programme Director for the MSc Digital Marketing and MSc Digital Marketing with Advanced Practice programs. Her educational background includes a PhD and an MLitt in Marketing from the University of St Andrews. She is a Fellow of the Higher Education Academy and holds a PGCert in Higher Education Teaching, underscoring her commitment to academic excellence. Her research centers on digital marketing , digital consumer behaviour , social media message strategies , online communities , and sustainable behaviour . She explores how digital platforms influence consumer decisions and how marketing can promote environmentally responsible actions. Her work bridges academic theory and industry practice, particularly in digital strategy and customer experience. The recent publications reflect a strong focus on digital research infrastructure, crowdfunding for social sciences, sustainable consumption, and marketing communications. Her work spans interdisciplinary themes including behavioral science, education, and digital innovation, often employing qualitative and user-centered research methods. Her scientific recognition includes: Fellow of the Higher Education Academy She has supervised academic projects and received funding through a Knowledge Transfer Partnership (KTP), demonstrating strong industry collaboration. She is currently accepting PhD students and continues to lead impactful research aligned with UN Sustainable Development Goals. Her teaching includes digital marketing, analytics, and customer experience courses. She is actively involved in research networks and has contributed to initiatives such as the TRIPLE project, focusing on open science and researcher needs across Europe.