جست‌وجوی استاد و پژوهشگر

Rafael Pereraمشاهده پروفایل

استاد

• Medical Statistics
• Primary Care Health Sciences
• Monitoring of Long-Term Conditions
• +۶ مورد دیگر

Rafael Perera is a Professor of Medical Statistics at the Nuffield Department of Primary Care Health Sciences (NDPCHS), University of Oxford, where he has been since 2002. He holds leadership roles as Director of the Statistics Group and Director of Graduate Studies , overseeing academic leadership and methodological research. He is also a Statistical Editor of BMJ and BMJ Medicine , and a fellow at St Hugh’s College Oxford . Education : DPhil, MSc, MA Rafael’s research focuses on monitoring for managing long-term conditions (e.g., Type 2 diabetes, hypertension) and complex multimorbidity phenotypes . His work includes impact of extreme temperatures on health , meta-analysis methods , and methodology for infectious diseases . He leads large methodological groups and has been a PI on NIHR-funded infrastructure programs (BRC, ARC, MIC). Recent publications highlight his expertise in clinical prediction models , digital health interventions , and diagnostic test evaluation . His grants span applied research , global health transformation , and ageing research . Scientific Awards : National and international recognition for methodology development in clinical trials (NIHR Progress Report 2008/09) Rafael supervises DPhil and MSc students and leads a fully accredited Clinical Trials Unit . His editorial and policy influence extends to healthcare policy panels and the Centre for Evidence-Based Medicine as Director of Research Methodologies.

• Computational Neuroscience
• Machine Learning
• Neural Networks
• +۵ مورد دیگر

Prof. Sander Bohte is a part-time full professor of Computational Neuroscience at the University of Amsterdam (Swammerdam Institute of Life Sciences) and an honorary full professor of Bio-inspired Neural Networks at the University of Groningen. He serves as a Scientific Staff Member and Group Leader in the Machine Learning department at CWI, Amsterdam. His work bridges computational neuroscience and machine learning with a focus on continuous-time information processing. Key research interests include: Spiking Neural Networks with predictive coding and multi-compartment models Biologically Plausible Learning in recurrent and deep architectures Working Memory modeling via reinforcement learning Neuromorphic Computing for real-time systems and GPU acceleration His recent publications highlight trends in neural adaptation , predictive coding , and SNN hardware-software co-design . Awards include the Veni Innovational Research Grant (2004) and ERCIM grant (2013) . He actively supervises MSc theses and leads grants like the NWO KIC project 'Selfhealing Neuromorphic Systems' (2024).

Kathrin Seleمشاهده پروفایل

مدرس ارشد

• Organizational Routines
• Routine Dynamics
• Innovation Management
• +۳ مورد دیگر

Kathrin Sele is a Senior Lecturer at the Department of Management Studies, Aalto University. Her research focuses on organizational routines, routine dynamics, and innovation management. She explores how organizations adapt to complex challenges through sociomaterial practices and embodied work. Key contributions include frameworks for analyzing routine ecologies, M&A synergy realization, and digital transformation in HR. Her work bridges practice theory, actor-network theory, and strategic management. Sele’s research spans extreme contexts (e.g., crisis management), gender equality, and ethical dilemmas in emerging markets. She collaborates on interdisciplinary projects like the ‘Routine Dynamics’ framework, emphasizing organizational adaptation in flux. Her publications appear in top journals such as Journal of Management Studies and Organization Studies . Her advising and grant activities are not explicitly detailed in the provided texts, though her prolific publication record suggests active research leadership. She contributes to academic communities through conference proceedings and edited volumes, particularly on grand challenges and innovation networks.

Barak Arielمشاهده پروفایل

استاد

• Experimental Criminology
• Evidence-Based Policing
• Technology in Policing
• +۳ مورد دیگر

Barak Ariel is a Professor of Experimental Criminology at the Institute of Criminology, University of Cambridge. He holds a PhD in Criminology from Hebrew University of Jerusalem, an LLM (Hebrew University), LLB (Academic Centre of Law & Business), MA in Criminology (Hebrew University), and BA in Psychology (University of New York). Since 2008, he has been affiliated with the Jerry Lee Centre of Experimental Criminology and teaches on the MSt in Applied Criminology and Police Management. Academic Rank: Professor of Experimental Criminology Key Affiliations: University of Cambridge, Jerry Lee Centre of Experimental Criminology Education: PhD, LLM, MA, LLB, BA Dr. Ariel specializes in experimental criminology, evidence-based policing, and the role of technology in crime prevention. His research focuses on evaluating policing strategies through randomized controlled trials (RCTs), particularly in areas such as body-worn cameras, domestic abuse hotspots, and interventions to reduce violence against women. He has advised police departments and governments across the UK, USA, Latin America, and Europe. His recent publications highlight trends in global crime dynamics, the impact of police interventions on offender behavior, and the use of machine learning for crime forecasting. These works span subfields including hot spots policing, procedural justice, victim-offender overlaps, and network analysis of organized crime. Scientific Awards : Academy of Experimental Criminology Young Experimental Scholar Award European Society of Criminology Young Criminologist Award Fellow of the Division of Experimental Criminology As Chair of the Division of Experimental Criminology (2019–2021), Dr. Ariel has contributed to advancing methodological rigor in criminological research. He has conducted extensive evaluations of police-led interventions, including trials on body-worn cameras, victim communication strategies, and data-driven approaches to domestic homicide prevention. His work bridges academic research with practical policing reforms, emphasizing the importance of empirical evidence in criminal justice policy.

Bärbel Finkenstädt Randمشاهده پروفایل

مربی

• Statistical Methodology
• Machine Learning
• Bayesian Inference
• +۶ مورد دیگر

Bärbel Finkenstädt Rand is a Senior Tutor at the Warwick Medical School , University of Warwick, with extensive research contributions at the intersection of statistics, machine learning, and biomedical sciences. Her work focuses on developing advanced methodologies for analyzing temporal and spatio-temporal data, particularly in circadian rhythms and disease dynamics. Research Themes : Bayesian inference, Hidden Markov Models, circadian rhythm stability, transcriptional bursting, and wearable sensor data analysis. Collaborations : Chronotherapy Group at Warwick, Université Paris-Saclay, and interdisciplinary teams across medicine, genetics, and computational biology. Publications reveal a strong emphasis on circadian health monitoring, gene expression dynamics, and epidemic modeling using stochastic frameworks. Her recent work prioritizes personalized medicine applications through telemonitored biomarkers and IoT platforms . Methodological Innovations include spline-based HMMs, distributed delay systems, and harmonic modeling for nonstationary time series. Applications span oncology, sleep medicine, and population ecology.

Tamer Darwishمشاهده پروفایل

استاد

• International Human Resource Management
• Comparative HRM
• Strategic HRM
• +۳ مورد دیگر

Professor Tamer Darwish is a leading academic in Human Resource Management (HRM) at the University of Gloucestershire, serving as Head of the HRM Research Centre within the Business School. He holds a PhD from Brunel University London and is an Academic Fellow of the Chartered Institute of Personnel and Development (CIPD) and a Fellow of the Higher Education Academy (FHEA). His research focuses on strategic HRM, international and comparative HR practices, and institutional complementarities in emerging markets such as the UAE, Jordan, India, and Brunei. Professor Darwish’s work emphasizes the interplay between HRM systems, organizational performance, and institutional environments. He has published extensively in top-tier journals like the Journal of Management Studies and European Management Review , with notable contributions on measurement invariance in HRM parameters, social exchange theory, and the impact of corporate governance. His awards include multiple 'Most Cited Paper' accolades and the Brunel University Research Excellence Award (2013). Research Interests: Cross-country HRM analysis, emerging market challenges, institutional frameworks, and workforce localization strategies. Editorial Roles: Associate Editor of the International Journal of Manpower , and editorial board member for International Journal of Human Resource Management and others. Key Contributions: Pioneered studies on HRM in resource-cursed economies and the role of HR directors in strategic alignment. His research often highlights the tension between global HRM practices and local institutional realities, advocating for context-sensitive approaches to enhance organizational effectiveness in developing economies.

Camellia Zakariaمشاهده پروفایل

استادیار

• Mobile Health
• Applied Machine Learning
• Human-Computer Interaction
• +۳ مورد دیگر

Camellia Zakaria is an Assistant Professor at the University of Toronto, holding appointments in the Biostatistics Division and Institute of Health Policy, Management, and Evaluation (IHPME) at the Dalla Lana School of Public Health (DLSPH), and the Faculty of Information (FoI). She was recently named Canada Research Chair (Tier 2) for mobile health solutions. Her research focuses on integrating mobile technologies and machine learning to develop equitable health monitoring systems. Education: University of Toronto (Present) University of Massachusetts Amherst (2020–2023) Singapore Management University (2014–2019) Research interests span mobile health, applied machine learning, and human-computer interaction, with a focus on creating inclusive health applications. Her work addresses challenges in environmental sensing, sleep monitoring, and mental health tracking through innovative sensor technologies and data analytics. Key articles (2024–2016) explore medical decision-making, aerosol emissions, and group behavior modeling. Her work has been recognized in venues like BMJ , IMWUT , and CHI . Awards : Canada Research Chair (Tier 2, 2024) Projects like StressMon and WATCHME highlight her commitment to scalable health monitoring systems. She collaborates on lab initiatives such as sensAILabs, advancing interdisciplinary health technology solutions.

• Differential Psychology
• Personality Psychology
• Psychopathology
• +۵ مورد دیگر

Johannes Zimmermann is Professor of Differential and Personality Psychology at the Institute of Psychology, University of Kassel, Germany. His work integrates personality science, psychopathology research, and advanced assessment methods, with particular expertise in dimensional models of personality disorders and the Hierarchical Taxonomy of Psychopathology (HiTOP). Education and Career Diploma in Psychology, University of Koblenz-Landau (2007) Doctorate, University of Heidelberg (2011) Post-doctoral fellow, German-Chilean Graduate School, Heidelberg University (2007–2010) Research Associate, University of Kassel (2010–2015) Professor for Methodology and Psychological Diagnostics, Berlin School of Psychology (2015–2018) Professor of Differential and Personality Psychology, University of Kassel (since 2018) Research Interests Prof. Zimmermann's research centers on personality assessment , psychopathology , and psychotherapy outcomes . He develops and validates instruments for measuring personality functioning and maladaptive traits, advances the Hierarchical Taxonomy of Psychopathology (HiTOP) framework, and employs ambulatory assessment to capture dynamic processes in daily life. Key themes include: Dimensional classification of personality disorders and psychopathology Ecological momentary assessment of affect and behavior Validation of German-language assessment tools (e.g., LPFS-BF, PID-5, HiTOP-SR) Long-term effectiveness of psychodynamic and cognitive-behavioral therapies Digital mental health and smartphone-based data collection Scientific Awards ISSPD Young Investigator Award (2019) – International Society for the Study of Personality Disorders SITAR Jerry Wiggins Student Award (2010) – Society for Interpersonal Theory and Research Advising & Collaborative Networks Prof. Zimmermann mentors doctoral and post-doctoral researchers through his roles in the German-speaking psychological community. He collaborates with international consortia including the HiTOP consortium, the PsyChange Network, and the London Personality and Mood Disorder Research Consortium, serving as principal investigator or co-investigator on projects funded by the German Research Foundation (DFG) and other bodies. Labs & Teams He leads the Differential Psychology Research Group at the University of Kassel, which focuses on measurement development, ambulatory assessment, and applied psychopathology research. The group maintains active collaborations with clinical centers across Germany and Europe for data collection and intervention studies.

Wolfgang Lutzمشاهده پروفایل

استاد

• Clinical Psychology
• Psychotherapy Research
• Precision Mental Health Care
• +۷ مورد دیگر

Prof. Dr. Wolfgang Lutz is a Full Professor and Head of the Department of Clinical Psychology and Psychotherapy at the Faculty of Psychology, University of Trier, Germany. He also serves as Director of the Outpatient Clinic and Postgraduate Clinical Training. Additionally, he holds an Adjunct Professor position at the University of Western Australia and is a Fellow of the Association for Psychological Science (APS). Dr. Lutz's research focuses on advancing clinical psychology and psychotherapy through precision mental health care, treatment personalization, and feedback-informed psychological therapy. His work emphasizes using data-driven approaches to optimize treatment outcomes, with particular attention to depression, anxiety disorders, and PTSD. He has pioneered the development of the Trier Treatment Navigator (TTN), a system for feedback-informed treatment that helps match patients to the most effective therapeutic approaches. His recent publications reveal a strong emphasis on integrating technology and artificial intelligence into psychotherapy research and practice. This includes developing algorithms for personalized therapy, using large language models to analyze therapy sessions, and implementing routine outcome monitoring systems. His research shows how temporal dynamics in therapy processes affect outcomes and how clinical microskills can predict therapeutic alliance and success. Fellow of the Association for Psychological Science (APS) Editor of Psychotherapy Research He leads initiatives to develop a European Psychotherapy Consortium (EPoC) to standardize outcome measurement across countries and promote cooperation in psychotherapy research. His laboratory focuses on precision mental health care, developing tools for treatment personalization, and investigating the mechanisms of change in psychotherapy.

Sonit Bafnaمشاهده پروفایل

دانشیار

• Architectural Morphology
• Space Syntax
• Behavior and Perception
• +۵ مورد دیگر

Sonit Bafna is an Associate Professor and Director of the Ph.D. Program in Architecture at the Georgia Institute of Technology's College of Design. He holds a Ph.D. from Georgia Tech (2002), an SMArchS from MIT (1993), and a professional degree in Architecture fromCEPT University (1990). His research bridges empirical studies on space-human interaction and critical architectural theory, focusing on morphology, behavior, perception, and aesthetics. Key research areas include home layout's impact on mental health (e.g., reduced depression risk in living-area-centered apartments), workplace design's role in employee wellbeing, and the relationship between spatial configuration and cognitive abilities. His work is funded by organizations like the General Services Administration and Kaiser Permanente. Bafna supervises doctoral research in morphology, design theory, and cognitive studies. Current projects include a book on imaginative reasoning in architecture and studies on hospital corridor design and film spatial analysis. His courses cover architectural theory, design analysis, and research methods. Notable contributions include interdisciplinary studies on space syntax, the therapeutic potential of domestic environments, and the visual functioning of buildings. His research emphasizes the socio-cultural dimensions of architecture and its imaginative potential beyond functionalism.

Daniel Geigerمشاهده پروفایل

استاد

• Organization Studies
• Organizational Routines
• Practice-Based Research
• +۷ مورد دیگر

Daniel Geiger is a Professor and Chairholder of Organization Studies at the University of Hamburg , Faculty of Economics and Social Sciences, Department of Social Economics. He has previously held professorial positions at the University of Kaiserslautern and the University of Linz. He earned his PhD from Freie Universität Berlin and conducted postdoctoral research at the University of Liverpool. He is an internationally recognized scholar in organization theory, with a focus on organizational routines, crisis management, and practice-based research. Education: Dipl.-Kfm. in Business Administration, Freie Universität Berlin; PhD in Management, Freie Universität Berlin (2005); Habilitation, University of Linz (2009). Professional Experience: Professor, University of Hamburg (2013–present); Professor, University of Kaiserslautern (2010–2013); Assistant/Associate Professor, University of Linz (2007–2009); Research Fellow, University of Liverpool (2005–2007). Prof. Geiger’s research centers on the dynamics of organizational routines in crisis and emergency contexts. He employs ethnographic methods and has collaborated with organizations such as the Uganda Red Cross, Feuerwehr Hamburg, and Technisches Hilfswerk. His work explores how time, space, and paradox shape coordination in extreme situations. His recent publications reveal a deepening focus on temporal elasticity, granularity in routine studies, and multi-actor dynamics in legitimacy repair and crisis response. He has contributed significantly to journals like Administrative Science Quarterly , Organization Studies , and Organization Science . His scientific contributions have been recognized with awards including the Douglas McGregor Memorial Award (2010) and the Best Paper Award for Young Scholars (2009). He serves on the editorial boards of Organization Studies , Management Learning , and European Management Journal , and is an active member of EGOS, including its Executive Board and Standing Working Group on Managing in Extreme Contexts. Prof. Geiger has advised several doctoral students and junior researchers, including Dr. Iris Seidemann and Pia Geisemann. He has led international research projects and held visiting appointments at the University of California, Irvine, and the Uganda Management Institute. His work combines theoretical rigor with practical relevance, particularly in humanitarian and emergency management contexts.

• Media Linguistics
• Ethnomethodological Conversation Analysis
• Human-Machine Interaction
• +۶ مورد دیگر

Tim Moritz Hector is a Research Associate at the University of Siegen since 2020, affiliated with subproject B06. He completed his PhD in Applied Linguistics in April 2024 with a dissertation on voice assistants as conversational participants. His research focuses on media linguistics, ethnomethodological conversation analysis, human-machine interaction, linguistic praxeology, and cultural linguistics. Education: German (linguistics), political science, and educational science (2012–2019) at Münster and Bonn Academic roles: Student assistant (2015–2019), research assistant (2019), and current research associate Research Themes: Hector investigates voice user interfaces, domestication of smart technologies, and interactional practices between humans and AI systems. His work bridges linguistic analysis with digital media studies, focusing on how voice assistants reshape social practices in households. Article Trends: Recent publications emphasize smart speaker domestication , human-machine agency , voice interface practices , sensory smart home systems , and data practices in AI adoption . He explores how voice assistants become embedded in daily routines through linguistic and praxeological frameworks. Academic Affiliations: Member of the Society for Applied Linguistics (GAL) and German Cultural Studies Society (KWG). Former Wikimedia Deutschland e.V. board chair and UNO-Flüchtlingshilfe e.V. supervisory board member. Conference Contributions: Active in conferences like IPrA, Social Interaction, and COST networks. Key presentations include topics on multisensory interaction, invectives in voice technology use, and responsive smart home systems. Collaborations: Co-organized major conferences including Machine–Body–Space (2024) and Voice Assistants in Private Homes (2023) with interdisciplinary teams from Siegen, Bremen, and Brussels.

Kristina Heinonenمشاهده پروفایل

استاد

• Service Marketing
• Customer Experience
• Service Innovation
• +۵ مورد دیگر

Kristina Heinonen is a Professor of Service and Relationship Marketing at the Department of Marketing, Hanken School of Economics, and holds a Professor II appointment at the Norwegian School of Economics. She has led key roles such as Head of Subject (Marketing) and Director of the Centre for Relationship Marketing and Service Management (CERS) at Hanken (2010–2023). Her research focuses on service innovation, customer experience, and value creation, leveraging technologies to drive strategic service initiatives. She is a Fulbright Scholar from the University of Massachusetts, Boston, and has held visiting roles at institutions across Europe. Her academic leadership extends to co-chairing the American Marketing Association’s Service Special Interest Group (AMA SERVSIG) and serving on the board of Karlstad University’s CTF Center for Service Research. She also contributes to global initiatives like ServCollab, a nonprofit fostering human-centered service collaboration. Her pedagogical expertise spans undergraduate, graduate, and MBA programs, alongside mentoring doctoral researchers. Kristina’s awards include the Evert Gummesson Outstanding Research Award and multiple Emerald Literati Awards. She actively advises companies in service, food, retail, and financial sectors, and leads the Finnish Innovation Index, an annual assessment of corporate innovation capabilities. Her interdisciplinary research bridges academic rigor with practical applications, emphasizing customer-centric frameworks and sustainability in service systems.

Sinead Langanمشاهده پروفایل

استاد

• Clinical Epidemiology
• Immune-Mediated Inflammatory Diseases
• Atopic Eczema
• +۴ مورد دیگر

Professor Sinead Langan is a leading clinical epidemiologist at the London School of Hygiene & Tropical Medicine (School of Epidemiology and Population Health, Department of Non-communicable Disease Epidemiology). She maintains dual roles as a clinical dermatologist at St John's Institute of Dermatology, Guy's and St Thomas' Hospital, and as academic director for Health Data Research UK London. Queen's University Belfast (MD) - 2005 University of Nottingham (PhD) - 2011 University of Pennsylvania (Visiting Scholar) - Postdoctoral Her research spans two critical domains: Immune-Mediated Inflammatory Conditions : Leading groundbreaking work on atopic eczema and psoriasis using 17 million patient records through OpenSAFELY platform, revealing novel associations between severe eczema and cardiovascular outcomes Health Data Methodology : Co-founder of the RECORD initiative (www.record-statement.org) that establishes international standards for observational health data reporting Recent publications analyze: Gene-environment interactions in eczema Development of standardized protocols for routine health data analysis Cardiovascular risks in inflammatory skin diseases Long-term developmental impacts of atopic disease Pandemic effects on healthcare delivery Key awards include: Fellow of Association of Physicians (2025) National Clinical Impact Award (2022-2027) ONS Excellence & People's Choice Awards (2022) British Society Medical Dermatology Prize (2022) She directs: Coronavirus School Infection Survey (150 schools) NHS indirect effects monitoring during pandemic

• Bayesian Statistics
• Nonparametric Methods
• Machine Learning
• +۷ مورد دیگر

David B. Dunson is the Arts and Sciences Distinguished Professor of Statistical Science at Duke University, with a joint appointment in the Department of Mathematics. He is also a Faculty Network Member of the Duke Institute for Brain Sciences. His research bridges theoretical statistics with practical applications across multiple scientific domains, focusing on developing new tools for probabilistic learning from complex data. Dr. Dunson earned his Ph.D. from Emory University in 1997 and his B.S. from Pennsylvania State University in 1994. Dr. Dunson's research focuses on developing statistical methods directly motivated by challenging applications in ecology/biodiversity, neuroscience, environmental health, and criminal justice/fairness. His methodological work spans models for low-dimensional structure in data (latent factors, clustering, geometric and manifold learning), flexible/nonparametric models (neural networks, Gaussian/spatial processes), Bayesian inference frameworks, and models for "object data" (trees, networks, images, spatial processes). His approach emphasizes creating practical tools that scientists and decision makers can use routinely. Dunson's recent publications demonstrate a strong focus on advancing Bayesian methodology for complex data structures across applications in biodiversity mapping, brain connectomics, environmental health, and infectious disease modeling. His work shows consistent innovation in nonparametric Bayesian methods, computational efficiency, and the handling of high-dimensional and structured data, always with an eye toward solving real-world scientific challenges. Dr. Dunson has received numerous prestigious awards including: IMS Medallion Lecturer (2019) Mitchell Prize from the International Society of Bayesian Analysis (2018) Carnegie Centenary Professorship (2018) DeGroot Prize (2017) COPSS Award: President's Award (2010) Fellow of the Institute of Mathematical Statistics (2010) His extensive publication record with numerous co-authors suggests an active research group mentoring graduate students and postdocs. His research on projects like biodiversity mapping (funded by a European Research Council Grant) and brain connectomics indicates well-funded research programs addressing significant scientific challenges across multiple domains. Dr. Dunson's work involves collaborations across multiple labs and teams, particularly through his affiliation with the Duke Institute for Brain Sciences. His research on biodiversity mapping, brain connectomics, and environmental health suggests involvement in large, interdisciplinary teams addressing complex scientific questions that require sophisticated statistical approaches.