جست‌وجوی استاد و پژوهشگر

• Medical Education
• Palliative Care
• Internal Medicine
• +۳ مورد دیگر

Dr. Miguel A Paniagua serves as Adjunct Professor of Medicine at the Perelman School of Medicine, University of Pennsylvania, and Vice President of Medical Education at the American College of Physicians. He provides consultative Hospice and Palliative Medicine services at the Hospital of the University of Pennsylvania for patients aged 18+. His academic training includes: Medical School: University of Illinois School of Medicine Residency: University of Washington Hospital and Clinics Fellowship: University of Washington Hospital and Clinics Dr. Paniagua's research bridges Medical Education and Palliative Care . In medical education, he pioneers assessment methodologies including SHARP (Short Answer, Rationale Provision) for clinical reasoning evaluation, remote proctoring systems, and studies on USMLE Step 1's psychological impact. His palliative care work focuses on non-pain symptom management protocols and dementia care transitions, particularly for older adults navigating post-pandemic societal reintegration. Analysis of his 2021-2024 publications reveals a consistent emphasis on assessment innovation (60% of works), with key contributions in eye-tracking validation studies and multiple-choice versus short-answer question efficacy. Palliative care research (30% of works) centers on caregiver support systems and symptom management, while regulatory medicine comprises the remainder. His professional distinctions include: Fellow of the American College of Physicians (FACP) Fellow of the American Academy of Hospice and Palliative Medicine (FAAHPM) Dr. Paniagua shapes medical education through editorial leadership as co-editor of foundational texts including 'Constructing Written Test Questions for the Basic and Clinical Sciences' and the UNIPAC palliative medicine series. His active publication record indicates ongoing research support, though specific grants aren't detailed. He contributes to national policy through his American College of Physicians leadership while maintaining clinical palliative care practice at Penn Medicine. His scholarly activities operate within Penn's Department of Medicine framework rather than a standalone laboratory, integrating clinical practice, medical education research, and professional society leadership to advance assessment science and palliative care delivery.

• Machine Learning
• Wireless Sensor Networks
• Data Mining
• +۵ مورد دیگر

Wang-chien Lee is an active Associate Professor in Computer Science and Engineering, specializing in machine learning, data mining, and graph optimization. His work spans domains including social networks, wireless sensor systems, and location-based services. Key research focus areas: Recommendation systems, Graph neural networks, and Social network analysis Pioneering applications in traffic safety, VR configuration, and blockchain marketing His publications demonstrate expertise in transfer learning, deep learning frameworks, and heterogeneous network modeling. Recent work explores traffic crash prediction, social-aware VR systems, and NFT marketing optimization. Current projects include: Learning Latent Representations of Heterogeneous Information Networks Link Quality Estimation for Wireless Sensor Networks Community Clickthrough Model Development

Monica Alaez-Galanمشاهده پروفایل

مدرس

• Foreign Language Acquisition
• Didactics of Specialized Languages
• Enaction Theory
• +۴ مورد دیگر

Monica Alaez-Galan is a Lecturer in the Information-Communication department at the University of Toulouse, specifically affiliated with IUT A Paul Sabatier. Her work focuses on foreign language acquisition through debate-based methodologies and digital pedagogical tools. Position: Spanish Lecturer at University of Toulouse Institutional Affiliation: IUT A Paul Sabatier Research Focus: Debate as a teaching tool, enaction theory, co-verbality Her research integrates theories of enaction, co-verbality, and ergonomics to enhance oral proficiency and motivation in specialized Spanish education. She develops the FABLang methodology, combining language training with technology-driven, interdisciplinary approaches. Publications highlight her work on competency-based frameworks (2024), debate-driven language systems (2023), and digital pedagogy evolution (2016). Her articles frequently explore the intersection of technology, motivation, and oral communication skills. She contributes to academic discourse through editorial roles in journals like Les Cahiers du GÉRES and participates in conferences such as APLIUT (2022), RANACLES (2023), and FABLAB Festival (2016). She collaborates with networks including GERES (Study and Research Group in Specialized Spanish) and APLIUT (Association of Language Teachers of University Institutes of Technology).

Nadine von Frankenberg und Ludwigsdorffمشاهده پروفایل

پژوهشگر

• Ubiquitous computing
• Smart environments
• Building control systems
• +۴ مورد دیگر

Dr Nadine von Frankenberg und Ludwigsdorff is a Postdoctoral Researcher at the Technical University of Munich (TUM) , affiliated with the Institute for Informatics I1 . She conducts research and teaches in the areas of ubiquitous computing, smart environments, and occupant-centric building control systems. Her office is located in Garching b. München, and she can be reached at nadine.frankenberg@tum.de . Education & Dissertation: In 2022 she defended her doctoral dissertation “Rationale Management for Event-Based Arbitration of Thermal Quality in Shared Spaces” at TUM, laying the groundwork for her subsequent work in human-in-the-loop building controls. Research Interests: Ubiquitous and pervasive computing Smart environments and IoT Building control systems with human-in-the-loop Occupant-centric & personalized indoor environmental quality Digital twins, machine learning, and occupant health Her work unites computer science, HCI, and building technology to create adaptive systems that balance energy efficiency with individual comfort and well-being. Publication Profile: Across 2016-2022 she authored or co-authored more than a dozen peer-reviewed papers in top venues such as BuildSys , CHI , Ubicomp , ICSE , and SIGCSE . A clear trend emerges: early work (2016-2017) focused on visualization and assessment tools for smart buildings, followed by 2018-2020 contributions on sensor-based thermal comfort inference, machine-learning control algorithms, and cloud architectures for multi-device studies. Most recently, her 2021-2022 publications center on conflict resolution and rationale management for shared thermal spaces, culminating in her 2022 dissertation. Scientific Service & Awards: Program Committee member: ICSE 2021-2023, SIGCSE 2017-2023, HICSS-56 2023, CSEE&T 2020-2022, SEUH 2020 Publicity Chair: CSEE&T 2020, SEUH 2020 Publication Co-Chair: BuildSys 2020 Teaching & Student Supervision: She has been a recurring instructor and lab supervisor for Introduction to Software Engineering (EIST) , iPraktikum , and Interactive Learning seminars since 2018. Additionally, she has advised or co-advised more than 25 Bachelor’s, Master’s, and Guided Research theses on topics spanning thermal comfort systems, digital twins, mHealth applications, and IoT network simulation. Labs & Teams: She is a core member of the Research Group for Applied Software Engineering (ASE) at TUM, collaborating closely with Prof. Bernd Brügge’s chair and interdisciplinary partners in architecture, psychology, and health informatics.

Fredrik Nilssonمشاهده پروفایل

استاد

• Accounting
• Financial Management
• Management Control Systems
• +۵ مورد دیگر

Fredrik Nilsson is a Professor of Business Administration, especially Accounting, at Uppsala University since 2010. He has previously served as a Professor of Economic Information Systems at Linköping University. His research focuses on the design and use of information systems (e.g., external accounting, financial management, production control) for strategic formulation and implementation. University: Uppsala University Department: Department of Business Administration Email: fredrik.nilsson@fek.uu.se Research Interests: Nilsson’s work examines how information systems bridge strategic and operational decision-making, particularly in data-driven financial due diligence, sustainability reporting, and mergers & acquisitions (M&A). His studies highlight the interplay between regulatory frameworks, digitalization, and organizational practices. Recent Publications: Highlights include analyses of data analytics in financial due diligence (2025), ESG risk integration (2023), and strategic management control (2020). He frequently collaborates with researchers like Tim Kastrup, Michael Grant, and Anna-Karin Stockenstrand. Academic Contributions: Nilsson has authored books such as Det här är ekonomistyrning (2022) and co-edited volumes like Auditing Transformation (2024). His work spans sectors including banking, insurance, and healthcare, with a focus on governance and control systems.

• Building Information Modeling
• Digital Twinning
• Information Management
• +۵ مورد دیگر

Prof. Dr.-Ing. Sebastian Esser serves as Group Lead for Information Management at the Chair of Computing in Civil and Building Engineering at Technical University of Munich. His research focuses on advancing Building Information Modeling (BIM) methodologies, particularly in infrastructure and railway applications. He contributes significantly to international standardization efforts including IFC-Road and IFC-Rail projects, and leads research initiatives such as RIMcomb and BauPuls360. Dr. Esser's research spans several critical areas in digital construction: Graph-based version control systems for BIM collaboration Digital twin development for infrastructure management Semantic modeling of built environments BIM-based regulation checking for railway infrastructure Interdisciplinary model coordination techniques Knowledge representation in civil engineering His work bridges theoretical computer science with practical civil engineering applications, focusing on improving data interoperability and workflow efficiency in construction projects. Analysis of his recent publications reveals a strong emphasis on graph-based approaches to BIM challenges. His research has evolved from foundational work on BIM programming interfaces to sophisticated implementations involving knowledge graphs, semantic reasoning, and digital twin architectures. Key trends include increasing integration of semantic web technologies with BIM standards, development of specialized query interfaces like GraphQL for construction data, and application of formal methods to infrastructure modeling problems. Dr. Esser actively supervises numerous bachelor's and master's theses annually, with recent topics covering graph-based entity alignment, BIM-GIS integration for flood assessment, incremental model updates, and digital twin implementations. His teaching portfolio includes courses such as Bau- und Umweltinformatik, BIM.fundamentals, BIM.infra, and Semantic Modeling of the Built World, demonstrating his commitment to educating the next generation of digital construction professionals. He is involved in multiple research initiatives including DFG FOR 5672 (The information backbone of robotized construction), SPP 2187 (Adaptive modularized constructions), and AM2PM (Additive to Predictive Manufacturing). His laboratory work spans the BIM-Lab and related computational infrastructure supporting his research in digital construction technologies.

Olivier FOURCADETمشاهده پروفایل

استاد آموزشی

• Strategy
• Sustainable Development
• Agri-Food Industries
• +۷ مورد دیگر

Olivier FOURCADET is a Teaching Professor at ESSEC Business School's School of Management, specializing in Strategy and Sustainable Development within the Management Department. He has been a faculty member at ESSEC since 1999, progressing from Assistant Teaching Professor to his current position as Teaching Professor since 2016. He also co-holds the ESSEC FOOD Chair (2020-2026) and previously held the European Chair in Food Excellence (2006-2010). His academic background is uniquely interdisciplinary, holding a Doctorate in Veterinary Medicine from École Nationale Vétérinaire d'Alfort (1987), an M.Sc. in Agri-Food Business Management from ESSEC Business School (1989), and a Ph.D. in Applied and Agricultural Economics from the University of Wisconsin-Madison (1995). This diverse foundation informs his distinctive approach to food industry challenges. Professor Fourcadet's research focuses on strategic management within the agri-food sector, with particular expertise in crisis management, uncertainty navigation, and sustainable development. His work spans theoretical frameworks and practical applications, notably through the development of the Madilon simulation for health and media crisis training. His research demonstrates consistent attention to real-world food industry challenges including BSE crises, organic labeling effectiveness, and strategic responses to market disruptions. His publication record reveals a strong focus on practical applications of strategic management in food systems, with recent work emphasizing uncertainty management in declining markets and strategic foresight in food chains. The research shows evolution from earlier work on pricing policy and biotechnology business models toward contemporary challenges in food sustainability and crisis management. 2019: Regards croisés sur l'Imaginaire de la Robomobilité grant from French Ministry of Sustainable Development and Solidarities Professor Fourcadet actively supervises Professional MS theses and provides apprenticeship tutoring. His extensive industry connections through Bpifrance, FranceAgrimer, and various food industry organizations provide students with exceptional practical learning opportunities. As co-holder of the ESSEC FOOD Chair, he leads research initiatives focused on sustainable food innovation and future food business models. His laboratory activities center around the FOOD Chair, where he investigates emerging challenges and opportunities in the food sector. The Chair serves as a hub for collaboration between academia and industry, addressing critical issues in food sustainability, innovation, and strategic management.

Lina Gongمشاهده پروفایل

دانشیار

• Intelligent Software Engineering
• SE4AI
• Empirical Software Engineering
• +۳ مورد دیگر

Lina Gong is an Associate Professor at the School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China. She holds a Ph.D. in Computer Software and Theory from China University of Mining and Technology (2020) and completed a research visit at Queen's University's Software Analysis and Intelligence Lab (SAIL) under Prof. Ahmed Hassan (2019-2020). Her research focuses on leveraging machine learning to extract insights from software repositories, with emphasis on: ML-enabled defect prediction techniques Code pre-trained models for vulnerability detection Identifier normalization and issue classification Empirical studies of software quality attributes Her recent publications (2023-2025) demonstrate strong trends in applying transformer architectures to code analysis, with increasing focus on supply chain security and cross-platform UI translation. Key venues include IEEE TSE, ACM TOSEM, and ASE. Scientific recognition includes: National Natural Science Foundation of China (2022-2025) Natural Science Foundation of Jiangsu Province (2022-2025) Key National Laboratory Foundation (2022-2023) Excellent Ph.D. Student Award (CUMT) She actively mentors graduate students (14 advisees: 1 doctoral, 13 master's) and serves on program committees for ASE, APSEC, and SANER. Her research is supported by multiple competitive grants focusing on ML applications in software engineering.

• Social Work
• Child Welfare
• Digital Welfare Systems
• +۵ مورد دیگر

Ragnhild Fugletveit serves as Associate Professor at Oslo Metropolitan University's Faculty of Social Sciences within the Department of Social Work, Child Welfare and Social Policy. Her research focuses on critical examinations of digital welfare systems, substance abuse treatment in child welfare contexts, and work inclusion strategies for vulnerable populations. Her research interests center on digital welfare systems and their impact on citizen-state interactions, particularly examining power dynamics in Norway's NAV (Labour and Welfare Administration). She investigates how digitalization creates new forms of exclusion while analyzing resistance strategies employed by users. Her work on substance abuse in child welfare explores institutional responses to drug addiction among youth, including controversial practices like single-child placements. Additionally, she studies work inclusion as a recovery strategy for individuals with substance abuse and mental health challenges, emphasizing meaningful activity in rehabilitation processes. Analysis of her recent publications reveals a clear trajectory toward critical digital welfare studies, with increasing focus on assemblage theory applications to understand complex welfare state transformations. Her work consistently bridges theoretical frameworks with practical case studies from Norwegian institutions, highlighting tensions between policy intentions and on-the-ground implementation. Her research portfolio includes significant projects on substance abuse mapping in Oslo's child welfare department and investigations into specialized institutions for youth with drug addiction. She actively contributes to understanding digital resistance practices and develops alternative frameworks for welfare service delivery that prioritize human agency over system efficiency.

Filip Søskov Davidovskiمشاهده پروفایل

پژوهشگر ارشد

• Cardiovascular Medicine
• Infectious Diseases
• Vaccinology
• +۳ مورد دیگر

Filip Søskov Davidovski is a Medical Doctor, Research Fellow, and PhD student at the University of Copenhagen's Faculty of Health and Medical Sciences, Department of Biomedical Sciences. His research focuses on cardiovascular physiology, kidney, and lung function, with emphasis on vaccine efficacy in elderly populations through major clinical trials including DANFLU-2 and DAN-RSV. Education: Master's in Public Health (MPH), Imperial College London (Expected 2026) Doctor of Medicine (MD), University of Copenhagen (2022) Davidovski's work bridges cardiovascular medicine and infectious disease vaccinology, investigating how influenza and RSV vaccines impact hospitalization rates and cardiovascular outcomes in older adults. His research leverages large-scale clinical trials to translate findings into public health strategies for vulnerable populations, with strong international collaborations across Europe and North America. Analysis of his 2025 publications reveals a concentrated focus on two landmark trials: DANFLU-2 (influenza vaccine dosing) and DAN-RSV (RSV vaccine cardiovascular effects), demonstrating significant reductions in hospitalizations and establishing vaccination as a key preventive strategy for cardiovascular complications in aging populations. Scientific Awards: The OSVAL award (2021) Davidovski actively contributes to medical education through his national-recognized podcast "Filip's Medical Podcast" (since 2020) and lecturing roles at DIS Study Abroad and the University of Copenhagen. He serves on multiple governance boards including the Research Council at Copenhagen University Hospital - Herlev and Gentofte and the Institute for Clinical Medicine board. As a core member of the Physiology of circulation, kidney and lung research group, he collaborates extensively with international institutions including Imperial College London and major US/EU healthcare networks on vaccine trials targeting cardiovascular protection in elderly patients.