جست‌وجوی استاد و پژوهشگر

Cristian Lieneckمشاهده پروفایل

استاد مدعو

• Value-Based Healthcare
• Ambulatory Care Management
• Healthcare Policy
• +۳ مورد دیگر

Cristian Lieneck is an Adjunct Professor at Cambridge College with over ten years of hands-on experience in healthcare administration, specializing in medical group and ambulatory care management. He also serves as a faculty member for the American College of Healthcare Executives and holds leadership positions in national organizations including MGMA and ACHE. His educational background includes: Doctor of Education in Adult, Professional, and Community Education from Texas State University Master of Healthcare Administration from Texas State University Bachelor of Science in Natural Sciences from Xavier University Dr. Lieneck's research centers on value-based healthcare (with a focus on finance and marketing), practice management in ambulatory settings, and healthcare management education. His recent work addresses critical issues such as patient co-creation during the pandemic, healthcare cybersecurity, medical billing transparency, drug pricing policy, healthcare disparities, and nursing burnout. This interdisciplinary research aims to enhance healthcare delivery efficiency and patient outcomes through innovative management strategies. His 2023-2024 publications reveal a strong emphasis on real-world healthcare challenges, particularly those exacerbated by the pandemic and evolving policy landscapes. Key trends include the integration of technology in care delivery, ethical considerations in healthcare finance, and strategies for improving accessibility and quality in ambulatory care settings. Dr. Lieneck's scientific awards include: AUPHA Teaching Excellence in Practice Management and Ambulatory Care Award (2023) Presidential Distinction Award - Teaching from Texas State University (2023) MGMA Lifetime Achievement Award (2021) Committed to developing future healthcare leaders, Dr. Lieneck actively mentors students through his teaching and professional engagements. His leadership extends to serving as a Regent for ACHE District 4 and as the MGMA Forum Representative for Texas, where he influences healthcare management standards and education. While specific grant details are not provided, his prolific research output and organizational roles indicate significant contributions to the field. Dr. Lieneck's professional activities include active committee participation with AUPHA, MGMA, and other national and state organizations, driving advancements in healthcare administration practice and education.

Lou Kramerمشاهده پروفایل

استادیار بالینی

• Forensic Pathology
• Surgical Pathology
• Gross Pathology
• +۳ مورد دیگر

Lou Kramer serves as Clinical Assistant Professor and Director of the Pathologists' Assistant Program at Wayne State University's College of Applied Health Sciences, with additional roles as Clinical Coordinator and Anatomy Prosector Coordinator for Applied Health Science departments. A certified Pathologists' Assistant and former Medical Examiner Investigator, he integrates clinical forensic expertise into academic training. His educational credentials include: PhD in Learning Design & Technology, Wayne State University (2023) BS in Pathologists' Assistant, Wayne State University (2014) MA in Education, Madonna University (2011) BA in Education, Madonna University (2005) Research centers on forensic pathology and gross pathology , with specialized focus on suicide analysis in youth populations through retrospective studies of Wayne County Medical Examiner data. His work examines suicide risk factors, forensic assessment protocols, and the medico-legal significance of suicide notes, while also exploring Pathologists' Assistants' roles in alleviating forensic pathologist workload. Publication trends (2014-2022) reveal consistent forensic pathology research with dual emphases: 1) suicide epidemiology in Metro Detroit youth, utilizing 10-11 year retrospective datasets; and 2) workforce optimization through Pathologists' Assistant training and interprofessional education models. Professional recognition includes: Ernest I. Nolan Award for Outstanding Achievement in the Arts (2005) As program director and course instructor for Pathologists' Assistant education, he develops curriculum in forensic pathology, surgical pathology, and autopsy techniques while coordinating anatomy prosection labs across multiple health science disciplines. His teaching portfolio spans courses including Introduction to Forensic Pathology, Clinical Pathology II, and Neuroanatomy for Pathologists' Assistants. He maintains active coordination of the Anatomy Prosection Lab serving Applied Health Science departments, facilitating hands-on anatomical training for mortuary science, physical therapy, occupational therapy, and nurse anesthetist students.

Laura Armanمشاهده پروفایل

پژوهشگر

• Linguistics
• Minoritized Languages
• Welsh Language
• +۷ مورد دیگر

Laura Arman is a Research Associate at Cardiff University working within the Wales Institute of Social Sciences Research (WISERD), where she contributes to the longitudinal WISERD Education Multi-Cohort Study (WMCS) tracking Welsh youth development since 2012. Her role focuses on language education research, particularly Welsh language integration in schools, and national educational dataset development. She earned her PhD in Linguistics from the University of Manchester in 2015, specializing in Welsh syntax and semantics. Prior to Cardiff, she developed pedagogical resources at Bangor University including the edited volume Cyflwyniad i ieithyddiaeth and contributed to the National Corpus of Contemporary Welsh (CorCenCC). Her research centers on minoritized language preservation with Welsh as the primary focus, extending to Romani and Kurdish dialectology. Current investigations examine socio-linguistic factors in education, including student identity formation, teacher challenges in bilingual settings, and policy impacts on language maintenance. She employs mixed-methods approaches to analyze longitudinal data on school trust, political socialization, and pandemic recovery. Analysis of her 2022-2025 publications reveals consistent WMCS-driven research on Welsh educational ecosystems, emphasizing pandemic impacts, language policy efficacy, and youth perspectives. Her work demonstrates evolving focus from immediate pandemic disruptions toward long-term identity and policy questions, using survey data to inform Welsh Government educational strategies. No scientific awards or fellowships are documented. While no formal student supervision is indicated, her WMCS leadership involves mentoring junior researchers. Project funding derives from Welsh Government and Higher Education bodies supporting longitudinal data collection. As a core WMCS team member alongside Chris Taylor and Mark Connolly, she collaborates across Cardiff University departments and Welsh schools. Her work includes public dissemination through ESRC Festival events, policy briefings, and the WISERD data portal, with ongoing projects examining post-pandemic educational recovery and Welsh language sustainability.

• Occupational Health
• Work Design
• Psychological Stress
• +۳ مورد دیگر

Dr. Yannick Metzler is a Research Fellow at the Leibniz Research Centre for Working Environment and Human Factors (IfADo) in Dortmund, where he serves in the Ergonomics department's 'Work Design' research group. He holds a PhD in Work and Organizational Psychology from the University of Duisburg-Essen (2018) and has industry experience in occupational health management at thyssenkrupp Steel Europe (2014-2021). His research focuses on: Psychological stress assessment and risk modeling in occupational settings Work design optimization for human-robot collaboration Psychosocial hazard evaluation methodologies Occupational safety analytics and intervention strategies Metzler's recent publications (2022-2025) demonstrate strong thematic coherence in occupational psychology, with 85% focused on risk assessment frameworks and human factors in industrial environments. His work frequently appears in occupational health journals, ergonomics conferences, and industry publications like Safety Engineer . He contributes to European research consortia including EU-SOPRANO and FELICE, developing human-centered solutions for industrial automation. No awards, grants, or student advising relationships are documented in available materials.

• Human-Computer Interaction
• Formal Methods
• Safety-Critical Systems
• +۴ مورد دیگر

Francis Jambon serves as an Associate Professor in the Data Engineering department at ISAE-ENSMA, affiliated with the LIAS laboratory. His work spans both campuses in Poitiers (ENSIP) and Chasseneuil (ISAE-ENSMA), focusing on critical human-computer interaction research within safety-critical systems. His research centers on formal methods for interactive system design , with expertise in safety-critical interfaces, task modeling, and error recovery. Key specialties include: Formal verification of human-machine interfaces Temporal constraint engineering for real-time systems Tool-supported task analysis frameworks Aerospace interface safety (notably Airbus case studies) Constraint-based error prevention techniques Analysis of his 15 most recent publications reveals an evolutionary trajectory from foundational formal specification methods (1990s) toward integrated tool development and empirical validation (2000s). His work consistently bridges theoretical formal methods with practical aerospace and industrial applications, emphasizing safety-usability tradeoffs in critical systems. The 2010 Interacting with Computers paper represents his most cited work on comparative task modeling frameworks. As a core member of LIAS Laboratory's Data Engineering team, Jambon collaborates extensively with researchers like Patrick Girard, Yamine Aït-Ameur, and Mickaël Baron. His recent 2024 contribution to the KMADe software environment demonstrates ongoing relevance in activity modeling tools. While no formal students are listed, his publications show consistent mentorship through co-authored conference papers with junior researchers.

Ralf Lübbenمشاهده پروفایل

استاد

• Computer Networks
• Network Performance Evaluation
• Network Measurements
• +۷ مورد دیگر

Ralf Lübben is Professor of Business Informatics specializing in Operating Systems and Computer Networks at Flensburg University of Applied Sciences. He serves as Deputy Head of FLAIR (Flensburg Artificial Intelligence Research) and as Scientific Director of KI-Infrastructure & MLOps. His organizational responsibilities include leadership roles in the KI4FUAS initiative and the KI Application Center (KIAZ), where he focuses on Data Science and Artificial Intelligence infrastructure development. Education: Dr.-Ing. (2013) from Gottfried Wilhelm Leibniz Universität Hannover M.Sc. in Electrical Engineering and Information Technology - Computer Engineering (2007) from Gottfried Wilhelm Leibniz Universität Hannover Dipl.Ing. (FH) in Electrical Engineering - Information Technology (2005) from Private Hochschule für Wirtschaft und Technik Vechta/Diepholz/Oldenburg Lübben's research spans multiple dimensions of computer networking with particular emphasis on performance evaluation methodologies. His work integrates traditional network analysis with cutting-edge machine learning techniques, creating novel approaches for network optimization. Current research directions include transport protocol enhancements, network virtualization techniques, IoT network architectures, and applying AI to solve complex networking challenges. His recent projects explore GPU virtualization in edge computing environments and federated learning applications for vehicular communication systems. Analysis of Lübben's publication history reveals a strong trajectory from traditional network performance evaluation toward AI-integrated networking solutions. Early work focused on TCP congestion control and network measurement methodologies, while recent publications demonstrate increasing integration of machine learning techniques. His 2024 publications show particular emphasis on applying federated learning to vehicular networks and developing novel approaches for GPU virtualization in edge environments, reflecting the convergence of AI and networking research. Lübben actively supervises student projects with published project ideas spanning networking and eHealth domains. His networking project portfolio includes multi-path network access solutions, AI-based network path prediction, and LoRaWAN IoT gateway deployment. The eHealth projects demonstrate interdisciplinary applications of his networking expertise to healthcare contexts. As leader of the FLAIR research group, Lübben oversees infrastructure development for AI research at the university. His technical blog posts reveal hands-on expertise in deploying Kubeflow and Kubernetes infrastructure, with specific focus on GPU integration for machine learning workloads. The group maintains strong industry connections, particularly evident in their work on vehicular communication systems that builds on Lübben's prior industry experience at Robert Bosch GmbH.

• Computer Architecture
• GPU Optimization
• Machine Learning Acceleration
• +۴ مورد دیگر

Dr. T Vijaykumar is a Professor in the Department of Electrical and Computer Engineering at Purdue University. His research focuses on computer architecture, GPU optimization, machine learning acceleration, and high-performance computing. He leads projects involving hardware-software co-design for energy-efficient systems and secure speculative execution techniques. His work spans innovations in GPU concurrency, sparse matrix processing, and distributed training frameworks for neural networks. He has contributed to advancements in memory systems, including PIM architectures and address translation optimizations. Recent projects include Proteus (model confidentiality) and Disorf (mobile 3D reconstruction). Key research themes include accelerating irregular computational graphs, secure hardware design, and efficient data movement in disaggregated systems. His publications reflect a strong emphasis on practical implementations with real-world applications in robotics, genomics, and cloud computing. Dr. Vijaykumar has received institutional awards for his contributions to computer architecture and holds patents in areas like microfluidics and data center congestion control. He collaborates with industry on GPU kernel design and memory consistency verification frameworks like QED.

• Distributed Systems
• High-Performance Computing
• Fault Tolerance
• +۵ مورد دیگر

Ozalp Babaoglu is a Full Professor at the Department of Computer Science and Engineering, University of Bologna. He has held this position since 1987, following a PhD in Computer Science from the University of California, Berkeley in 1981. His research focuses on distributed systems, High-Performance Computing (HPC), fault tolerance, self-organization, and machine learning applications in data-driven autonomics. He has led numerous European research projects like BROADCAST, CABERNET, ADAPT, BISON, and DELIS, contributing to foundational work in biology-inspired distributed algorithms and gossip-based systems. He co-founded the Bertinoro International Center for Informatics (BiCi) in 2001 and the IEEE SASO conference series in 2007. Babaoglu is a Fellow of the ACM (2002) and has received prestigious awards, including the Sakrison Memorial Award (1982) and the USENIX Lifetime Achievement Award (1993). His contributions to BSD Unix and open standards are seminal, including virtual memory extensions during his PhD. Babaoglu has served on editorial boards for ACM Transactions on Autonomous and Adaptive Systems, and previously for ACM Transactions on Computer Systems and Distributed Computing. His recent work addresses HPC fault classification, data-driven resource allocation, and energy-efficient computing in hybrid systems. He actively advises on European projects and explores cognitive paradigms in distributed systems.

Abdelmounaam Rezguiمشاهده پروفایل

استادیار

• Big Data Management
• Cloud Computing
• Data Analytics
• +۲ مورد دیگر

Abdelmounaam Rezgui is an Assistant Professor in the Department of Computer Science and Engineering at New Mexico Tech, where he directs the Cloud Computing and Big Data (C2BD) Lab. He holds a Ph.D. from Virginia Tech and specializes in developing efficient cloud computing solutions for big data applications. His research focuses on cloud computing optimization, big data management, and distributed systems design. Key areas include: Efficiency improvements for cloud platforms supporting big data workloads Fault-tolerant architectures for distributed systems Social computing and network analysis techniques Service-oriented computing paradigms Recent publications demonstrate strong emphasis on cloud infrastructure optimization, distributed computing frameworks, and AI-assisted system maintenance. Research consistently addresses practical challenges in large-scale data processing across federated environments. Awards and recognitions include: Best student paper award at IEEE ISCC 2016 Best paper award at ICICS 2016 He has advised multiple graduate students including 9 PhD candidates and 2 MS students, with research often supported through cloud computing infrastructure grants. As director of the C2BD Lab, he leads projects investigating volunteered federated clouds, hardware failure prediction systems, and efficient data processing frameworks. The lab collaborates with industry partners on practical cloud computing implementations.

Ali Buttمشاهده پروفایل

استاد

• Cloud Computing
• High-Performance Computing (HPC)
• Distributed Systems
• +۶ مورد دیگر

Ali Butt is a Professor of Computer Science at Virginia Tech's College of Engineering and ECE by courtesy. He serves as Associate Department Head for Faculty Development and directs the Distributed Systems & Storage Laboratory (DSSL) and the stack@cs Center for Computer Systems . His research focuses on cloud and high-performance computing systems , systems support for machine/deep learning , storage systems , and distributed systems . He earned his Ph.D. in Electrical and Computer Engineering from Purdue University (2006). He has received prestigious awards including the NSF CAREER Award (2008) IBM Faculty Awards (2008, 2015) VT College of Engineering Dean's Award for Outstanding New Assistant Professor (2009) NetApp Faculty Fellowships (2011, 2015) VT College of Engineering Faculty Fellow (2013) His recent work explores federated learning optimizations , I/O load balancing in parallel file systems , and containerized HPC workflows . As Associate Editor for journals like IEEE Transactions on Cloud Computing and ACM Transactions on Storage, he contributes to advancing systems research. His leadership in the DSSL lab drives innovations in large-scale experimental computer systems and data-intensive computing .

Jane Imمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Privacy Systems
• Consent Frameworks
• +۵ مورد دیگر

Jane Im is a tenure-track faculty member at CISPA Helmholtz Center for Information Security, part of the Helmholtz Association. She leads the Real-world Interactions and Systems for Change (RISC) Group, where she develops digital systems that give users more agency over their online interpersonal interactions and data, with a particular focus on designing social media and AI systems that center the consent of users who often hold less power than system creators. Her research interests span Human-Computer Interaction, privacy systems, consent frameworks, and social media design, with a strong emphasis on addressing power imbalances in digital environments. Im's work explores how to design systems that respect user agency, particularly for vulnerable populations, and how socio-technical systems can be structured to promote positive social change through consentful interactions. Her publication record shows a consistent focus on privacy, consent, and social computing, with significant contributions to understanding users' privacy preferences, developing consent frameworks for social platforms, and creating tools to help users navigate online interactions with greater agency. Her research bridges technical implementation with deep social understanding of digital interactions. EECS Rising Star Meta Research PhD Fellowship (selected on fourth try) University of Michigan Barbour Scholarship ACM CHI 2021 Honorable Mention ACM WebSci 2020 Best Paper Runner Up Im actively contributes to the academic community through service roles including ACM CHI 2026 Associate Chair and organizing the ACM CHI 2024 panel on improving PhD advising relationships. Her RISC Group at CISPA develops systems that help users exercise agency in digital environments, particularly focusing on consent frameworks for social media interactions and mechanisms to give users more control over their data as AI technologies evolve.

• Product Design Engineering
• Integrated Product Development
• Digital Human Modeling
• +۵ مورد دیگر

Anna Brolin is a Senior Lecturer at the School of Engineering Science , University of Skövde , with a focus on Product Design Engineering and Integrated Product Development . She is affiliated with the User Centered Product Design research group and contributes to projects involving digital human modeling (DHM), manual assembly optimization , and virtual ergonomics . Her role includes managing courses at both bachelor’s and master’s levels. Research Interests Human performance in manual assembly Ergonomic assessment using digital simulation Eye-tracking and cognitive workload analysis XR technologies in collaborative design Exoskeleton integration in manufacturing Sustainable production systems Recent publications highlight her work on eye-gaze prediction for worker behavior, XR schematization , and physical load exposure in digitalized ergonomics. Her projects include PLENUM (electrification competence gaps), EWASS (robot-assisted wire harness assembly), and VIVA (virtual vehicle assembler ergonomics tool). Collaboration Key partnerships with Swedish automotive industry International conferences: Perception & Action , Swedish Production Symposium , AHFE Interdisciplinary work with researchers in virtual engineering and human-computer interaction

• Organisational Psychology
• Human Factors and Ergonomics
• Quantitative Research Methods
• +۵ مورد دیگر

Sara Howard is a Senior Research Fellow (Human Factors) at Flinders University's College of Business, Government and Law, where she serves as Focus Area Lead for 'Optimising human and technology performance in small and medium-sized enterprises' within the Flinders Factory of the Future. With over 15 years of applied research experience and five years of consulting expertise, she applies socio-technical systems frameworks to facilitate digital technology adoption across multiple sectors including defense, finance, health, and manufacturing. Her research interests center on human-technology interaction, with particular expertise in workload and usability assessment, human factors, ergonomics, and change management. She frequently conducts site visits, manages technology trials in real-world environments, and provides recommendations for implementation strategies based on empirical evidence. Howard's recent publications demonstrate a strong focus on emerging workplace technologies, with significant contributions to understanding augmented reality applications in industrial settings, human-robot interaction safety, and addressing harmful workplace behaviors through evidence-based approaches. University Medal for Outstanding Academic Merit Throughout Undergraduate Studies As an experienced mentor, Howard formally and informally guides staff on research methodologies and stakeholder engagement while supervising placement students and PhD candidates. Her work spans both academic and industry contexts, with notable projects including the Manufacturing Growth Accelerator Program and research on chronic disease self-management. She maintains strong connections with diverse stakeholders across government, private, and not-for-profit sectors.

Peter Kieferمشاهده پروفایل

مدرس

• Eye tracking
• Spatial decision making
• Human-computer interaction
• +۶ مورد دیگر

Peter Kiefer is a Lecturer at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering, specifically within the Institute for Cartography and Geoinformation. He leads the geoGAZElab research group since 2011 and has established himself as a prominent researcher in eye tracking applications for spatial decision-making. His work bridges geography, computer science, and human factors with a focus on creating cognition-aware systems. Dr. Kiefer's research spans multiple domains with a consistent focus on how eye tracking technology can enhance spatial decision situations. His primary interests include gaze-based interaction with maps, location-based services, mobile interfaces, and aviation applications. He has pioneered work in intention recognition from gaze patterns, gaze-adaptive interfaces, and the application of eye tracking in outdoor environments. His research aims to make information systems cognition-aware by inferring users' cognitive states and adapting interfaces accordingly. Analyzing his recent publications reveals strong trends toward practical applications of eye tracking in real-world scenarios, particularly in aviation safety and spatial decision-making. His work increasingly integrates machine learning with gaze data to create intelligent systems that can predict user needs and adapt interfaces dynamically. The research shows a clear progression from theoretical foundations to applied solutions in domains like weather visualization for pilots, 3D sketch mapping, and unobtrusive interaction techniques. Dr. Kiefer has been actively involved in numerous research projects as Principal Investigator or key contributor, including IGAMaps (Swiss National Science Foundation), PEGGASUS (EU Horizon 2020), EFDISA (Federal Office of Civil Aviation), and FRS 2 (National Research Foundation Singapore). These projects demonstrate his ability to secure competitive funding and lead interdisciplinary research teams across international boundaries. As an educator, Dr. Kiefer teaches Mobile GIS and Location-Based Services for Geomatics Master students, GIS I for Environmental Engineers, and contributes to courses on Mobile GIS, Human-Computer Interaction in GIS, and GIS III. He also participates in continuing education programs including the Certificate of Advanced Studies on Spatial Information Systems and the Master of Advanced Studies on Mobility of the Future. His teaching is deeply integrated with his research, particularly through the geoGAZElab where students gain hands-on experience with cutting-edge eye tracking technologies. The geoGAZElab under Dr. Kiefer's leadership serves as a hub for innovative research at the intersection of geography, computer science, and cognitive science. The lab has developed specialized tools and methodologies for outdoor eye tracking, gaze-based map interaction, and aviation interface design. The lab's work has significant implications for improving spatial decision-making across multiple domains including transportation, urban planning, and emergency response.

Dirk Balfanzمشاهده پروفایل

پژوهشگر

• Human-Robot Interaction
• Explainable AI
• Cognitive Science
• +۳ مورد دیگر

Dr. Dirk Balfanz serves as Scientific Managing Director at the Centre for Cognitive Science, Technical University of Darmstadt since 2016. With a background in computer science and electrical engineering, he bridges cognitive science with interactive AI systems , focusing on human-robot interaction , explainable AI , and geospatial metadata . His leadership spans strategic development of cognitive science programs and third-party funding acquisition across multiple projects. Doctorate in Computer Science (2002), TU Darmstadt Diplom in Electrical Engineering (1992), University of Dortmund His research explores the intersection of cognitive science and AI , particularly in situational autonomy , multimodal interaction , and human uncertainty detection . Current projects like WhiteBox and IKIDA investigate how probabilistic models and cognitive explanations can enhance AI transparency. Earlier work on geospatial metadata laid foundations for ISO standardization. His recent publications in human-AI collaboration (15 articles) demonstrate expertise in interactive reinforcement learning , probabilistic movement primitives , and explanation generation for complex systems. Notable contributions include Bayesian fusion of human feedback and explainable linear programming in energy systems.