جست‌وجوی استاد و پژوهشگر

• Family
• Gender
• Demography
• +۵ مورد دیگر

Julia Behrman serves as an Associate Professor of Sociology at Northwestern University, where she conducts internationally recognized research on family change in global contexts. Her work examines how family structures interact with major societal forces including educational expansion, environmental change, women's labor force participation, and migration patterns, with particular attention to power dynamics within households and their implications for social inequality. Dr. Behrman earned her PhD from New York University in 2017 following a Postdoctoral Prize Research Fellowship at Nuffield College, University of Oxford. Her methodological expertise combines advanced quantitative techniques with comparative demographic analysis across diverse geographical settings. Her research program centers on family sociology, gender studies, and demography, with significant contributions to understanding how events like natural disasters, migration, and policy changes alter family power structures. She investigates whether evolving family forms mitigate or reinforce inequalities both between and within households, addressing critical questions about who holds decision-making authority in families and how crises reshape these dynamics. Analysis of her recent publications reveals a strong methodological emphasis on quantitative analysis of large-scale datasets, with thematic focus on reproductive health preferences, migration impacts, and family size norms across the United States, France, and Sub-Saharan Africa. Her work consistently bridges demographic trends with sociological theory to explain household-level responses to macro-level social changes. Her scholarly excellence has been recognized through multiple prestigious awards: American Sociological Association Section on Education Award American Sociological Association Section on Population Award American Sociological Association Section on Development Award Society for the Study of Social Problems Award Population Association of America Award Sociologist AIDS Network Award Dr. Behrman has secured competitive research funding from the National Science Foundation and South African Medical Research Council to support her investigations into family and demographic change. As an educator, she teaches undergraduate courses including "Gender and Society" and graduate-level courses in "Research Design" and "Regression II," while actively mentoring PhD students through a structured advising process that emphasizes methodological rigor and theoretical innovation.

Rennan Lemosمشاهده پروفایل

مدرس

• Material Culture
• Artefact Analysis & Technology
• Archaeological Theory
• +۱۱ مورد دیگر

Dr. Rennan Lemos is a Teaching Associate in Egyptian Archaeology and Affiliated Lecturer at the University of Cambridge's Department of Archaeology, with additional affiliation as a College Research Associate at Emmanuel College. His academic work focuses on the complex dynamics of Egyptian colonialism in ancient Nubia, particularly during the New Kingdom period. Dr. Lemos specializes in material culture analysis, examining how objects served as tools for negotiating identity, power, and social structure in colonial contexts. His research challenges traditional narratives of 'Egyptianization' by revealing the nuanced, bidirectional nature of cultural interactions between Egyptians and Nubians. He integrates archaeological theory with scientific analysis, employing methods like lead isotope analysis and organic residue characterization to study ancient trade networks and ritual practices. His recent publications (2023-2024) demonstrate a clear trend toward bridging postcolonial theory with empirical archaeological evidence. Many articles examine how material culture functioned in colonial settings, with particular attention to funerary practices, artistic representations, and supply chains. His work increasingly focuses on 'decolonizing' archaeological practice while maintaining rigorous scientific approaches to understanding ancient cultural interactions. Dr. Lemos's research has significantly contributed to understanding how Egyptian-style objects were adopted, adapted, and reinterpreted in Nubian communities. His theoretical work, particularly 'Can We Decolonize the Ancient Past? Bridging Postcolonial and Decolonial Theory in Sudanese and Nubian Archaeology' (2022), has been influential in reshaping scholarly approaches to ancient colonial dynamics.

Charlotte Hanlonمشاهده پروفایل

استاد

• Global Mental Health
• Implementation Science
• Public Mental Health
• +۷ مورد دیگر

Professor Charlotte Hanlon serves as Co-Director of the Centre for Global Mental Health and co-director of the World Health Organization Collaborating Centre for Mental Health Research and Training at King's College London's Institute of Psychiatry, Psychology & Neuroscience. Based in Ethiopia, she has maintained a continuous research and implementation presence in the country since her PhD work from 2004-2006 on perinatal mental health in rural settings, returning permanently in 2009. Her research expertise spans global mental health implementation science, with particular focus on developing, testing and implementing interventions for people with mental health conditions in low- and middle-income countries. Professor Hanlon has significant experience with psychological interventions, social/psychosocial approaches, service models, and system strengthening, with special attention to severe mental health conditions including psychoses and developmental disabilities. Her work consistently incorporates capacity strengthening as an integral component. She coordinates the PhD program for Mental Health Epidemiology at Addis Ababa University and serves on Ethiopia's technical working group for mental health scale-up. Analysis of her recent publications reveals a strong emphasis on context-specific implementation research, particularly in Ethiopia, with growing attention to developmental disabilities, caregiver support, and inclusive education. Her work bridges clinical interventions with health systems strengthening, demonstrating how context shapes effective mental health service delivery in resource-limited settings. The publications show increasing collaboration with African institutions and a focus on sustainable, locally adapted solutions. Commissioner on the Lancet Commission on Ending Stigma and Discrimination in Mental Health Co-lead (with Professor Ashok Malla) of the interventions, services and systems section of the Lancet Psychiatry Commission on Psychoses in Global Context Professor Hanlon leads multiple major research initiatives including HOPE (NIHR global health research group on homelessness and severe mental illness), SCOPE (Wellcome Trust-funded study of psychosis context in Ethiopia), PROMISE (improving detection and care for psychosis in Malawi), PRIZE (peer support intervention for psychosis in South Africa), and SPARK (WHO caregiver skills training for developmental disabilities). Her research approach emphasizes participatory methods, cultural adaptation, and building local research capacity across multiple African countries. She works closely with the Centre for Global Mental Health, which aims to address inequities by closing the care gap and reducing human rights abuses experienced by people living with mental, neurological and substance use conditions in low-resource settings. Her projects often involve collaboration between King's College London, Addis Ababa University, and other African institutions to develop sustainable mental health solutions.

Daniele Cavigliaمشاهده پروفایل

استاد

• Ultra-Low Power Electronics
• Biomedical Circuit Design
• Ultrasound Imaging Systems
• +۳ مورد دیگر

Daniele Caviglia serves as Full Professor in the Department of Naval, Electrical, Electronic and Telecommunications Engineering at the University of Genoa, Italy. He holds the position of Coordinator for the Master's Degree in Electronic Engineering and teaches advanced courses including Radio Frequency Electronics, Electronic Devices, and Electronic Systems for Telecommunication across both Bachelor's and Master's programs. His research program focuses on ultra-low-power electronics for biomedical and environmental applications, with three primary thrusts: (1) nW-scale circuit design for bio-signal processing and neural interfaces, (2) advanced beamforming techniques in medical ultrasound imaging, and (3) energy harvesting systems for autonomous environmental monitoring. His group has pioneered inverter-based OTAs achieving sub-10nW operation and developed novel genetic algorithm-optimized apodization methods for plane-wave ultrasound imaging. Recent publications (2024-2025) reveal strong thematic continuity with increasing emphasis on practical implementations - particularly sea wave energy harvesters for environmental buoys and satellite microwave link systems for rainfall monitoring in urban settings. The work consistently bridges fundamental circuit innovation with real-world medical and environmental applications, maintaining high impact in IEEE and Elsevier journals.

Elaine Chenمشاهده پروفایل

مدرس ارشد

• Business Analytics
• Artificial Intelligence
• Generative AI
• +۴ مورد دیگر

Dr. Elaine Chen serves as Senior Lecturer in Business Analytics and Course Leader for the MSc Business Analytics and Artificial Intelligence at Nottingham Business School, Nottingham Trent University. Her teaching emphasizes practical applications of data and AI technologies for business decision-making, with dedicated focus on accessibility for diverse student backgrounds across technical and strategic domains. Her academic credentials include: PhD in Computing Science MSc in Business Information Technology Postgraduate Certificate in Academic Practice BTech (Hons) in Business Information Systems Chen's research bridges educational and business contexts through data-AI integration: Generative AI adoption in higher education, particularly for neurodivergent/disabled students Human-AI collaboration frameworks in organizational settings SME applications for AI-driven efficiency and competitiveness Workforce analytics and talent management systems Her work consistently connects technical AI capabilities with real-world implementation challenges. Publication analysis (2023-2025) reveals accelerating focus on generative AI's educational impact and business strategy integration, evolving from her foundational work in social recommender systems (2014-2020) which established methodologies now applied to contemporary AI challenges in business contexts. Her professional recognition includes: Senior Fellow of the Higher Education Academy (HEA) Chen actively supervises PhD candidates in AI education, human-AI collaboration, and workforce analytics domains. Her pedagogy leadership includes designing accredited business analytics curricula and securing teaching innovation projects with documented outcomes in student engagement metrics. Prior industry experience as an automation engineer at Intel informs her practical approach to AI implementation. Current initiatives focus on generative AI ethics frameworks and longitudinal SME adoption studies, extending her established research trajectory into emerging business technology challenges.

David Condonمشاهده پروفایل

استادیار

• Social-Personality Psychology
• Personality and Individual Differences
• Data Science
• +۷ مورد دیگر

David Condon is a Courtesy Assistant Professor in the Department of Psychology at the University of Oregon , affiliated with the College of Arts and Sciences . His research focuses on the structure and measurement of psychological individual differences , including temperament, personality, cognitive abilities, interests, values, and motivation. Specializes in large-scale datasets via the SAPA-Project , collecting data from over 250,000 participants annually. Develops measurement tools for clinical settings and advocates for open science practices , including open data, reproducible methods, and freely accessible publications. Current research explores empirically-informed prediction tools and taxonomic models linking individual differences across the lifespan. His scholarly work spans personality science , creativity research , and natural language processing , with publications analyzing personality structures at multiple levels of abstraction. While no longer accepting new graduate students, he continues to lead the PIE Lab , fostering interdisciplinary collaboration.

• Extreme Value Theory
• Applied Mathematics
• Gaussian Processes
• +۵ مورد دیگر

Marie Kratz is a Full Professor at ESSEC Business School (Cergy, France), affiliated with the CREAR - Center of Research in Econo-finance and Actuarial Sciences on Risk . Her work bridges theoretical and applied domains in extreme value theory , heavy-tailed distributions , and risk management , with applications in finance, cybersecurity, and neuroscience. Research Focus : Extreme value theory, risk concentration, cyber risk modeling, Gaussian random fields, and pro-cyclicality in financial risk measures. Collaborations : Active collaborations with Michel Dacorogna, Marcel Bräutigam, and Sibsankar Singha on cyber risk and financial applications. Methodologies : Development of the Normex method for aggregated heavy-tailed risks, hybrid Gaussian-Pareto models, and near-explosive random coefficient autoregressive models. Awards and Recognition : No specific awards mentioned in the text.

Alex Scottمشاهده پروفایل

استاد

• Combinatorics
• Graph Theory
• Probability

Alex Scott is a Professor of Mathematics at the Mathematical Institute, University of Oxford, with active research contributions evidenced by publications through 2025. His work is centered within the university's Mathematical Institute, a key hub for theoretical mathematics research. Scott's research specializes in combinatorics, particularly graph theory and probabilistic methods. His investigations span structural graph theory, extremal combinatorics, and random graph models, addressing fundamental questions about graph minors, forbidden substructures, and combinatorial optimization. This focus reflects deep engagement with discrete mathematical structures and their theoretical applications. Analysis of his publication timeline (2014-2025) reveals consistent contributions to graph theory, with recent work emphasizing subdivisions, stable sets, and graph reconstruction algorithms. Earlier research examined Erdős-Hajnal properties, deviations in random graphs, and dimensional properties of posets, demonstrating both depth and evolution in his scholarly focus. No scientific awards were documented in the source material. The available information does not specify any advised students or research grants, though his extensive publication record suggests significant collaborative research activity. Scott is affiliated with the Combinatorics research group at Oxford's Mathematical Institute, contributing to one of the world's leading centers for discrete mathematics research through theoretical investigations and academic collaboration.

Emma Parryمشاهده پروفایل

استاد

• Human Resource Management
• Generational Diversity
• Career Studies
• +۴ مورد دیگر

Professor Emma Parry is a Professor of Human Resource Management and Group Head of the Changing World of Work at Cranfield School of Management, Cranfield University. She is a recognized expert in Human Resource Management (HRM) and plays a leading role in several global research projects including Cranet, a worldwide network of over 40 business schools conducting comparative HRM research, and 5C, a global research project involving around 30 academic institutions examining cultural and age differences in attitudes towards careers. Professor Parry joined Cranfield University in 2002 as a Research Fellow within the Human Resource Research Centre. She holds a PhD and an MSc in Applied (Occupational) Psychology, both from Cranfield. Her educational background has provided a strong foundation for her research in human behavior at work and HRM practices. Professor Parry's research focuses on the impact of the changing external context on managing people, particularly examining technological advancement, age demographics and generational diversity, and national context. She has also conducted extensive research on human capability within defense contexts. Her scholarly contributions include authoring "Managing People in a Contemporary Context" (Routledge) and editing six other books. She serves as Editor in Chief of the International Journal of Human Resource Management (IJHRM) and Series Editor for "The Changing Context of Managing People" book series (Emerald). Professor Parry's recent publications demonstrate a strong focus on global HRM trends, generational differences at work, the impact of technology on employment, and career development across different national contexts. Her work often takes a comparative approach, examining how HR practices and career trajectories vary across cultural and institutional settings. She has been particularly active in researching the impact of the COVID-19 pandemic on careers and the implications of emerging technologies for the future of work. Fellow of the British Academy of Management (FBAM) Academic Fellow of the Chartered Institute of Personnel and Development (CIPD) Honorary Fellow of the Institute for Employment Studies Visiting Research Fellow at Westminster Business School President of the Executive DBA Council (EDBAC) Elected member of the British Academy of Management (BAM) Council Professor Parry teaches on graduate and executive programs in Human Resource Management, Talent Management, Organizational Behavior, and Research Methods. She has advised numerous PhD students and has secured research funding from various organizations including the Defence Science and Technology Laboratory (Dstl), Home Office, Chartered Institute of Personnel and Development (CIPD), Society for Human Resource Management (SHRM) Foundation, Forces in Mind Trust, and Department for International Development (DFID). Her work bridges the gap between academic research and practical application, making significant contributions to both scholarly knowledge and organizational practice in the field of HRM.

Ralph Baileyمشاهده پروفایل

دانشیار

• Quantitative Methods
• Philosophy of Research and Enquiry

Ralph Bailey is an Associate Professor in Economics at the University of Birmingham , affiliated with the Birmingham Business School and Department of Economics . His work bridges quantitative methods and philosophy of research and enquiry , with methodological contributions to econometrics and mathematical economics. Education : BSc (Durham), MA (Lancaster), MSocSc (Birmingham) His publications focus on statistical modeling, time series analysis, and theoretical economics, including works on deunionization impacts , ARMA processes , and public good provision under ambiguity . Recent studies explore earnings dispersion, near-integration in regression, and macroeconomic sustainability frameworks. Contact : r.w.bailey@bham.ac.uk

Martin Greplمشاهده پروفایل

استاد

• Numerical Methods for Partial Differential Equations (PDEs)
• Model Order Reduction
• Reduced Basis Methods
• +۴ مورد دیگر

Professor Dr. Martin Grepl is a faculty member at RWTH Aachen University, where he holds the Lehr- und Forschungsgebiet Optimierung mit partiellen Differentialgleichungen (Teaching and Research Area in Optimization with Partial Differential Equations). He has been affiliated with RWTH Aachen since 2009, first as a Professor (W1) and since 2014 as a Professor (W2). Education: Diplom-Ingenieur (Aerospace Engineering), University of Stuttgart (2000) Master of Science (Mechanical Engineering), MIT (2001) Doctor of Philosophy (Mechanical Engineering), MIT (2005) His research focuses on numerical methods for partial differential equations (PDEs) , particularly model order reduction , reduced basis methods , finite element methods , and optimal control for parametrized PDEs. He also investigates parameter estimation , inverse problems , and control constraints in elliptic and parabolic PDE systems. The scientific awards he has received include the Studienstiftung des deutschen Volkes (1997-2000), a Fellowship from the Dr. Jürgen Ulderup-Stiftung (1998-1999), and the Lehrpreis der Fachschaft Mathematik/Physik/Informatik (2011). His work spans applications in manufacturing , medical physics , and fluid dynamics , as evidenced by his patents and collaborative research. His publications demonstrate expertise in reduced basis methods for nonaffine/nonlinear PDEs , trust region optimization , and error bounds for real-time and many-query scenarios. His collaborations often involve interdisciplinary applications, including thermal conduction , welding processes , and glomerular filtration modeling .

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۵ مورد دیگر

Prof. Dr. Mehmet Reşit Tolun is a full-time Professor in the Department of Software Engineering at Çankaya University (Turkey) since 2022. Previously held full-time professor positions at Konya Food and Agriculture University (2020-2022), Aksaray University (2013-2017), and TED University (2011-2013), along with a part-time professorship at Başkent University (2017-2020). Specializes in Artificial Intelligence , Machine Learning , and Data Mining , with a focus on deep learning applications in aerospace, biomedical data analysis, and software process improvement. PhD in Computer Science (University of Kent, 1985) MSc in Computer Science (University of Kent, 1982) BSc in Physics and Computer Science (University of Kent, 1981) Research Interests span deep learning frameworks, hybrid expert systems, software engineering methodologies, and biomedical signal processing. Publications emphasize practical implementations in medical diagnostics, robotics, and agricultural pest detection. Scientific Awards include the IEEE Third Millenium Medal (2000). Supervised over 55 graduate students, including Burak Çetin, Uğur Özotuk, and Mahinur Doğan. Collaborated with researchers from Orta Doğu Teknik Üniversitesi , Çankaya University , and Aksaray University .

• Control Theory
• Model Predictive Control
• Power Electronics
• +۳ مورد دیگر

Morten Hovd is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). His work focuses on advanced control systems, particularly in model predictive control, optimization, and power electronics. He has contributed to control design for uncertain systems, bilinear models, and modular multilevel converters. Research Interests Control Theory and Model Predictive Control (MPC) Optimization Techniques in Control Systems Power Electronics and Smart Grid Applications Stability Analysis of Hybrid and Discrete-Time Systems Teaching TTK4210 - Advanced Control of Industrial Processes TK8118 - Mini-seminar in Cybernetics

Novi Quadriantoمشاهده پروفایل

استاد

• Machine Learning
• Responsible AI
• Algorithmic Fairness
• +۷ مورد دیگر

Novi Quadrianto is a Professor of Machine Learning at the School of Engineering and Informatics, University of Sussex, where he joined as a Lecturer in February 2014. He is currently a Principal Investigator on three active EU grants: BayesianGDPR (ERC), TANGO (EU Horizon RIA), and Act.AI (ERC Proof of Concept). He also holds an Adjunct Professor position in Data Science at Monash University, Indonesia, and serves as Strategic Lab co-Leader of the BCAM Severo Ochoa Strategic Lab on Trustworthy Machine Learning in Bilbao, Spain. His educational background includes a PhD in Machine Learning from the Australian National University (2012) and a BEng in Electrical and Electronics Engineering from Nanyang Technological University, Singapore. During his PhD, he conducted research at multiple international institutions including HIIT-Finland, Yahoo! Research-US, University of Alberta-Canada, Fraunhofer IAIS-Germany, and IST Austria. From 2012-2014, he was a Newton International Fellow of the Royal Society at the University of Cambridge. Professor Quadrianto directs the Predictive Analytics Lab (PAL) since 2017, which focuses on "Responsible AI" research developing AI models that embed fairness, accountability, transparency, and trustworthiness. His research spans algorithmic fairness, federated learning, and computer vision, with applications in sustainable development, healthcare, and finance. His work has been funded by prestigious organizations including the European Research Council, EPSRC, and HM Treasury. His publications reveal a strong focus on addressing challenges in AI fairness, robustness, and privacy, particularly in dynamic environments and heterogeneous data settings. Recent work explores performative prediction, diversity-driven learning, and efficient vision transformer inference, demonstrating his leadership in cutting-edge machine learning research. European Research Council ERC Proof of Concept Grant (2023) Guarantor Researcher for BCAM Severo Ochoa Excellence Accreditation (2023) European Lab for Learning and Intelligent Systems (ELLIS) Scholar/Fellow (2020) European Research Council ERC Starting Grant (2019) Newton International Fellowship (2012) Microsoft Research Asia Fellowship (2009) Professor Quadrianto currently supervises six PhD students and five postdoctoral researchers. He has served as Action Editor for Transactions on Machine Learning Research since 2022 and as Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence since 2016. He has also been an Area Chair for major conferences including NeurIPS, ICML, and AAAI. His PAL laboratory hosts a team of 15 members focused on inter-disciplinary AI research with domain experts across various sectors. The PAL Lab operates three innovation strands: AI for Sustainable Development (supporting UN SDGs), AI for Healthcare (transforming health outcomes), and AI for Finance (personalized loan decision-making). The lab also leads initiatives in Diversity & Inclusion in AI and offers Pro-Bono Office Hours to organizations seeking guidance on machine learning aspects.

Walter Timo de Vriesمشاهده پروفایل

استاد

• Intelligent Land Management
• Responsible Land Administration
• Urban and Rural Development
• +۸ مورد دیگر

Professor Walter Timo de Vries is a faculty member at the Technical University of Munich (TUM) , holding the Chair of Land Management and Land Development within the Department of Aerospace and Geodesy, TUM School of Engineering and Design . His research focuses on intelligent and responsible land management , urban and rural development , spatial justice , and the development of a Human Geodesy framework. A graduate of TU Delft (1988) and Rotterdam (PhD), he has led international projects across Asia, Africa, and South America. At TUM, he directs the Master's and PhD Programs in Land Management , serves as Dean of Geodesy , and leads TUM.Africa . Member of the German Geodetic Commission Member of the Bavarian Academy for Rural Development Academic Coordinator of TUM SEED Center Research Interests span responsible land governance , land tenure security , land consolidation , and geospatial methods for sustainable development. His recent work examines the Water-Energy-Food Nexus and digital twins in collaborative planning. He has supervised over 20 PhD and Master’s students on topics like spatial justice , nomic pastoral tenure , and smart land use . Publications address blockchain in land administration , spatial inequalities , and land policy reforms across global contexts.