جست‌وجوی استاد و پژوهشگر

Mickaël CAMPOمشاهده پروفایل

دانشیار

• Sports Psychology
• Emotional Processes in Sports
• Interpersonal Emotional Regulation
• +۵ مورد دیگر

Mickaël CAMPO is an Associate Professor at the University of Burgundy (Université Bourgogne Franche-Comté) in Dijon, France, specializing in sports psychology. He is affiliated with the Faculty of Sports and Physical Education (UFR STAPS) and the Socio-Psychology and Sports Management Laboratory (Laboratoire Psy-DREPI). His educational background includes a Doctorate in Sports Psychology. Prior to his current position, he served as an Associate Professor at Université de Rouen Normandie from 2013 to 2015 and completed his PhD studies at Claude Bernard University Lyon 1 from 2007 to 2010. Dr. CAMPO's research focuses on the interpersonal emotional process (IEP), particularly examining: Relationships between social psychological variables such as social identity and emotions in group contexts Interpersonal emotion regulation in sports settings Emotional contagion phenomena in team sports Psychological adaptation processes in performance and learning contexts Emotional intelligence development and application in sports His work primarily centers on team sports, with a special emphasis on rugby. He has developed theoretical frameworks like the Interpersonal Emotional Process (IEP) model and has conducted extensive research on how emotions affect performance in competitive sports environments. Dr. CAMPO has received recognition for his research, including the 1st Young Researcher Prize in 2010. His scientific contributions span numerous publications in prestigious journals, with his work focusing on the intersection of social psychology and sports performance. As an academic, Dr. CAMPO has supervised multiple research projects and has been invited to present at various conferences, including the clinical medico sport congress in Lyon. His work bridges theoretical research with practical applications for athletes, coaches, and sports psychologists.

Rasha Baruniمشاهده پروفایل

استادیار

• Applied Behavior Analysis
• Child Safety and Injury Prevention
• Autism Spectrum Disorder
• +۳ مورد دیگر

Rasha Baruni is an Assistant Professor in the Department of Psychology at the University of Manitoba's Faculty of Arts. She teaches courses including Seminar in Behaviour Modification (PSYC 4540/8240) and Seminar in Basic Operant Research (PSYC 4540/8270). Her academic background includes a PhD in Applied Behaviour Analysis from the University of South Florida (2023), an MS in Applied Behaviour Analysis from St. Cloud State University (2012), and a BA Honours in Psychology from York University (2007). PhD (Applied Behaviour Analysis), University of South Florida, 2023 MS (Applied Behaviour Analysis), St. Cloud State University, 2012 BA Honours (Psychology), York University, 2007 Baruni's research focuses on applied behavior analysis for child safety , particularly in digital environments. She develops and evaluates behavioral skills training (BST) and conjugate reinforcement schedules to address physical and digital safety threats (e.g., firearms, social media risks). Her work extends to staff training methodologies and procedural fidelity in intervention implementation. Recent publications analyze conjugate reinforcement dynamics, remote safety training efficacy, and BST adaptations. Research trends show emphasis on digital safety threats , cross-cultural interventions , and technology-assisted training for both children and practitioners. She actively explores ways to improve stakeholder accessibility to safety programs. Currently accepting Master’s and PhD students, Baruni collaborates with international institutions on behavioral safety initiatives and maintains active research connections through platforms like Google Scholar and ResearchGate.

Qiaoning Carol Zhangمشاهده پروفایل

استادیار

• Human-AI Collaboration
• Human-Robot Interaction
• Human Factors in Automated Vehicles
• +۴ مورد دیگر

Qiaoning Carol Zhang serves as Assistant Professor of Human Systems Engineering within The Polytechnic School at Arizona State University's Ira A. Fulton Schools of Engineering. Her research investigates the critical intersection of human perception, social contexts, and emerging technologies including artificial intelligence, robotics, and automated vehicles, with emphasis on creating intuitive, user-friendly, and inclusive systems. Her academic foundation includes: Ph.D. in Information, University of Michigan (2023) M.S. in Industrial and Operations Engineering, University of Michigan (2018) B.S. in Industrial Engineering, Hunan University (2016) Dr. Zhang's research program centers on understanding how individual differences and social dynamics shape technology interactions. Key focus areas include Human-AI Collaboration , Human-Robot Interaction , Human Factors in Automated Vehicles , and User Experience Design . Her work employs interdisciplinary methodologies to ensure technology adapts to diverse user needs across complex socio-technical environments, particularly in transportation and healthcare robotics. Analysis of her 15 most recent publications (2021-2025) reveals dominant themes in trust dynamics within automated vehicles, with significant attention to explainable AI interfaces. Research consistently examines how voice characteristics (gender, similarity), explanation modalities, and individual differences (age, personality) impact cognitive and affective trust. Recent work extends to healthcare robotics for elderly populations using Kano model analysis to identify critical user requirements. No scientific awards are documented in the provided materials. Dr. Zhang actively recruits Ph.D. candidates and undergraduate/master's researchers with backgrounds in human-computer interaction, data science, and interdisciplinary fields (design, computer science, cognitive science). She emphasizes opportunities in transportation technology, healthcare robotics, AI, and UX research/design, requiring applicants to submit CVs, research statements, and representative work samples. While specific grants aren't detailed, her research scope indicates substantial funding in human factors and emerging technology domains. Her research team focuses on developing empathetic technology through projects examining trust calibration in automated vehicles and healthcare robot design for older adults. Current initiatives include voice interface optimization for diverse user groups and Kano model applications in home healthcare robotics, aiming to bridge technical capabilities with human-centered design principles.

• Climate Change Adaptation in Agriculture
• Land Use Modeling
• Biodiversity Conservation
• +۳ مورد دیگر

Thomas Berger is a Professor at the University of Hohenheim , affiliated with the Faculty of Agricultural Sciences and leading the Department of Economics of Land Use . He also contributes to the Computational Science Hub and Hohenheim Tropics initiatives. Focus Areas: Climate change adaptation, land-use modeling, biodiversity-productivity trade-offs, agent-based simulation, and machine learning in agricultural systems. Key Projects: Simulation frameworks for smallholder resilience in Ethiopia, bioeconomic modeling in the Amazon, and hybrid intelligence applications in European agricultural policy. Recent Publications: 2025 study on climate change effects on insecticide reduction in Germany, 2024 work on reconciling biodiversity with productivity via hybrid models, and 2023 methodological contributions to surrogate modeling and seasonal forecast integration. Research Trends: Interdisciplinary integration of climate science, agricultural economics, and computational modeling, with increasing emphasis on AI-assisted decision support systems and sustainability policy validation. Teaching & Outreach: Offers Agricultural Economics seminars and Hohenheim Tropics discussions, requiring advance email registration for office hours.

Alaa Alameldeenمشاهده پروفایل

دانشیار

• Computer Architecture
• Memory Systems
• Hardware Security
• +۵ مورد دیگر

Alaa Alameldeen is an Associate Professor in the School of Computing Science at Simon Fraser University (SFU), part of the Faculty of Applied Sciences. Previously, he worked as a Research Scientist at Intel Labs (2006–2020) and held an Adjunct Faculty position at Portland State University (2008–2018). He earned a PhD in Computer Sciences from the University of Wisconsin-Madison (2006), and earlier degrees from Alexandria University, Egypt. His research focuses on computer architecture, including memory systems (processing-in-memory, cache/memory compression, security), energy-efficient architectures, and hardware-software co-design for machine learning. He advises PhD and MSc students in these areas and teaches advanced computing science courses. Key contributions include innovations in memory hierarchies, cache compression techniques, and mitigating hardware vulnerabilities. His work has been published in top conferences (e.g., ISCA, MICRO, HPCA) and patented in areas like near-memory processing and error correction. Alameldeen currently leads a research group exploring secure and high-performance memory architectures. He has supervised multiple graduate students, with many progressing to roles at leading tech companies and academic institutions.

Andrew Bestمشاهده پروفایل

استادیار

• Biological Anthropology
• Human Evolution
• Human Physiology
• +۳ مورد دیگر

Dr. Andrew Best is an Assistant Professor of Biology at Massachusetts College of Liberal Arts (MCLA), specializing in biological anthropology with a focus on human physiological evolution. His primary research examines the role of sweating in human evolution, contemporary human sweat characteristics, and the metabolic limits of endurance performance. He holds a Ph.D. from the University of Massachusetts (2021), an M.A. from the University of Massachusetts (2016), an M.A. from Quinnipiac University (2006), and a B.A. from Saint Michael’s College (2004). Dr. Best teaches courses including BIOL 101: Biology Seminar for Majors , BIOL 342/343: Anatomy and Physiology , BIOL 440: Exercise Physiology , and BIOL 484: Biomechanics . His research integrates evolutionary biology, thermal physiology, and exercise science to explore how human metabolic and thermoregulatory systems have evolved to support extreme endurance activities. Key projects include studying sweat gland density variation across populations and the physiological constraints of ultra-endurance events. His publications span topics such as ultramarathon energy expenditure, strength training’s impact on endurance, and primate sweat gland evolution. He actively participates in academic conferences and collaborates with researchers globally. No scientific awards are explicitly noted in the provided materials. Dr. Best’s work reflects interdisciplinary approaches to understanding human biological adaptation, with ongoing projects likely extending into nutritional strategies for endurance athletes and comparative analyses of primate thermoregulation systems.

• Information Systems
• Operations Management
• Business Strategy
• +۵ مورد دیگر

Henrique O'Neill is an Associate Professor (with Habilitation) in the Department of Marketing, Operations and General Management at ISCTE - University Institute of Lisbon, Portugal. He is an Integrated Researcher at ISTAR-Iscte - Research Center in Information Sciences, Technologies and Architecture. His research focuses on information systems adoption, organizational strategy, and process optimization in healthcare, finance, and public administration. Education: PhD in Business Organization and Management - University of Cranfield (1995) Master's in Electrical and Computer Engineering - Higher Technical Institute (1987) Bachelor's in Electrical Engineering - Higher Technical Institute (1983) Research Interests: His work spans business/IT strategy, systems modeling, process analysis, and technology implementation. Key domains include healthcare informatics, banking systems, and Industry 4.0 applications. He emphasizes practical solutions for organizational performance through technology integration. Publication Trends: Recent articles explore intelligent business systems, telemedicine, design science methodologies, and supply chain innovation. His work consistently bridges theoretical frameworks with sector-specific applications in healthcare, education, and logistics. Professional Engagement: Member: Portuguese Telemedicine Association, Order of Engineers Commissioner: INEM (National Institute of Medical Emergency) reform study Director: Center for IT Development (2010-2014) Advising & Projects: Supervises 7 graduate students (1 PhD, 6 Master's). Leads EU-funded projects including: Atlantic Crossing (2024-2025): US-Portugal academic collaboration in AI/cybersecurity AAL4ALL (2011-2015): Ambient Assisted Living ecosystem UNITE (2000-2002): Ubiquitous teamwork platforms

• Project Management
• Operations Management
• Retail Logistics
• +۳ مورد دیگر

Goran Avlijaš is a researcher affiliated with Singidunum University in Belgrade, specializing in project management, operations research, and retail logistics. He holds a Doctorate in Engineering Management (2011–2016) from Singidunum University, a Master’s in Project Management (2008–2009) from the Faculty of Organizational Sciences, and a Bachelor’s in Management (2003–2007) from the same institution. His research focuses on optimizing project schedules through methods like Earned Value Management and Monte Carlo Simulation, analyzing supply chain efficiency, and exploring gig economy impacts on well-being in Balkan countries. Key research areas include: Project Management Innovation: Developing risk analysis tools (e.g., Event Chain Methodology) and applying earned value metrics to construction projects. Retail Operations: Investigating automated replenishment systems and inventory management challenges in retail environments. Social-Economic Dynamics: Studying gig economy effects on workforce well-being and regulatory impacts on entrepreneurship. His work spans 30+ peer-reviewed articles and conference papers, including contributions to Management , Sustainability , and Frontiers in Psychology . He co-authored textbooks like Project Management and Entrepreneurship for Singidunum University’s curriculum. Active in academic events such as Sinteza and FINIZ conferences, he bridges theoretical research with practical industry applications.

• Developmental Psychopathology
• Physiological Stress Processes
• Adolescence and Emerging Adulthood
• +۴ مورد دیگر

Leah Doane is a Professor and Chair of the Department of Psychology at Arizona State University (ASU) since 2025. She holds affiliations with the Biodesign Center for Personalized Diagnostics and previously served as Associate Dean of Graduate Initiatives in the College of Liberal Arts and Sciences (2024). Her academic background includes a B.A. in Psychology from Cornell University (2002), M.A. and Ph.D. in Human Development and Social Policy from Northwestern University (2006/2008), and a postdoc at the University of Chicago in Psychiatry and Behavioral Neuroscience. Research focuses on developmental psychopathology, examining links between health behaviors, physiological stress (e.g., cortisol), and stressful experiences across childhood, adolescence, and emerging adulthood—with particular emphasis on Latinx youth and college transition challenges. Key themes include cultural adaptation, sleep health, epigenetic influences, and bicultural stress. Funded by NIH, CDC, and Army Research Institute, her work integrates ecological and ambulatory assessment methods. Leadership roles include Director of Faculty Success, Developmental Graduate Training Area Head, and Deputy Chair in ASU's Psychology Department. Awards include William T. Grant Foundation Scholar (2025-). Active in teaching advanced courses on research methods and thesis supervision, she mentors students through courses like Honors Thesis (PSY 493), Research (PSY 792), and Dissertation (PSY 799). Key grants include studies on Latino youth college pathways (Helios Education Foundation, 2015-2016), genetic/environmental influences on sleep and behavior (NICHD, 2015-2020), and culturally informed interventions. The Adolescent Stress and Emotion Lab (adolescentstressandemotionlab.org) serves as her research hub.

Susanne Jaeggiمشاهده پروفایل

استاد

• Cognitive Training
• Executive Functions
• Individual Differences in Cognition
• +۴ مورد دیگر

Susanne M. Jaeggi is a Professor of Psychology at Northeastern University, with additional affiliations in the Bouve College of Health Sciences and the College of Arts, Media, and Design. Her research focuses on cognitive training, executive functions, and individual differences in cognition across the lifespan. She holds PhDs in Cognitive Psychology and Neuroscience from the University of Bern (Switzerland), and completed postdoctoral work in Cognitive Neuroscience at the University of Michigan. Her work has been funded by NIH, NSF, IES, ONR, and the Advanced Education Research and Development Fund (AERDF). She leads the Working Memory & Plasticity Lab , which develops interventions to improve working memory and executive functions, and co-leads the Brain Game Center for Mental Fitness and Well-Being , creating evidence-based brain fitness tools. Jaeggi’s research emphasizes understanding mechanisms of cognitive improvement through training, including neuroplasticity and individual variability. Key areas include cognitive aging interventions, gamification, sensory-cognitive interactions, and the impact of socioeconomic factors on academic achievement. Her work integrates behavioral experiments, neuroimaging, and digital health technologies to address real-world challenges in education and healthcare. Recent studies explore music/art-based interventions, brain stimulation (e.g., tDCS), and scalable cognitive assessments. Collaborations span disciplines, with publications addressing topics like neural correlates of training, motivational features in interventions, and cross-modal perception. Her labs emphasize translating findings into public-facing tools, such as freely accessible brain fitness apps. Current projects include optimizing interventions for ADHD populations and leveraging digital platforms for global mental fitness.

Karina Gibertمشاهده پروفایل

استاد

• Data Science
• Artificial Intelligence
• Ethics in AI
• +۷ مورد دیگر

Karina Gibert is a Full Professor at Universitat Politècnica de Catalunya (UPC), specifically at the Faculty of Computer Science of Barcelona (FIB) in the Department of Statistics and Operations Research. With a permanent teaching position since 1990, she contributes to research and education with a focus on Data Science, Artificial Intelligence, Explainable AI, and Ethics in AI. Full Professor, UPC (since 1990) PhD in Informatics Engineering Postgraduate in Higher Education Teaching Director and co-founder of IDEAI research center Dean of the Official Professional College on Informatics Engineering of Catalonia Active in bridging the gender gap in STEAM through multiple initiatives Her research focuses on extracting strategic knowledge from data and intelligent systems with ethical and explainable perspectives. She has led various projects including Diet4You for personalized diets, INSESS-COVID19 for social vulnerability analysis, Top Rosies Talent for female AI development, and ciutadanIA for AI culture promotion. Her work spans health, environment, sustainability, tourism, and social technology applications. As an editor of Environmental Modeling and Software journal and active academic, she contributes to international conferences, working groups, and research collaborations. Her service includes membership on various ethics and AI strategy committees and advisory boards. Women Tech Award 2023 National Informatics Engineering Award in Digital Dissemination 2022 Ada Byron Award 2022 Honorific Mention of Creu Casas award 2021 donaTIC 2018 Award Finalist at AMETIC Awards 2021 Finalist of European Social Services Awards 2021

• Causal Analysis
• Econometrics
• Machine Learning
• +۷ مورد دیگر

Martin Huber is Professor of Applied Econometrics and Policy Evaluation at the University of Fribourg, Switzerland, within the Faculty of Management, Economics and Social Sciences, Department of Economics. He leads the Chair of Applied Econometrics and maintains an active research profile with numerous publications in top economics and statistics journals. His work bridges theoretical econometrics with practical policy applications across multiple domains including labor, health, and education economics. Professor Huber earned his Ph.D. in Economics and Finance in 2010 and served as Assistant Professor at the University of St. Gallen until 2014. He has conducted research stays at Harvard University (2011/2012) and the University of Sydney (2014 and 2019), establishing an international research network. His academic affiliations include the Committee for Econometrics of the Verein für Socialpolitik, Global Labor Organization, Soda Labs (Monash Business School), and Centre for European Economic Research (ZEW) Mannheim. Huber's research focuses on data-based causal analysis , machine learning applications in economics , and policy evaluation methods . He specializes in developing and applying statistical and econometric methods for measuring causal effects, with particular emphasis on semi- and nonparametric microeconometrics. His work spans labor economics (gender occupational segregation, maternal labor supply), health economics, education policy, and competition policy (bid-rigging cartels detection). His recent publications (2023-2025) demonstrate a clear trajectory toward integrating machine learning techniques with traditional econometric methods for causal inference. This includes developing frameworks for causal discovery, improving difference-in-differences methods with machine learning, and creating novel approaches for detecting collusion in markets. His 2023 book "Causal Analysis: Impact Evaluation and Causal Machine Learning with Applications in R" (MIT Press) has become a key reference in the field. As an active researcher, Professor Huber directs several research projects including experimental evaluations of gender occupational segregation in the Swiss apprenticeship market. His work combines theoretical rigor with practical policy relevance, often employing experimental and quasi-experimental methods to address questions of causal mechanisms in social and economic phenomena. Through his Chair of Applied Econometrics, Huber supervises Ph.D. students and maintains an active research group focused on advancing causal inference methodologies. His work has significant implications for evidence-based policymaking across multiple sectors, particularly in evaluating the effectiveness of social programs and economic policies.

• Nonprofit Organizations
• Social Economy
• Social Accounting
• +۳ مورد دیگر

Laurie Mook is an Associate Professor and Associate Director in the School of Community Resources and Development (CRD) at Arizona State University (ASU). She is also affiliated with the Lodestar Center for Philanthropy & Nonprofit Innovation and the Center for Organization Research and Design (CORD). Her research focuses on the social economy, including nonprofits, cooperatives, social enterprises, volunteerism, and social accounting. She holds a Ph.D. in Adult Education and Community Development from the University of Toronto, along with an M.Ed. and B.A. from Canadian institutions. Dr. Mook’s academic contributions include co-authoring influential books such as Understanding the Social Economy: A Canadian Perspective (2018) and editing the Canadian Journal for Nonprofit and Social Economy Research . Her teaching spans courses like Social Marketing and Strategic HR Management, emphasizing online pedagogy and curriculum design. Her awards include the 2021 Distinguished Service Award from ANSER and multiple Outstanding Faculty Awards at ASU. She has been a leader in professional associations like ANSER and ARNOVA, contributing to conference organization, editorial roles, and policy discussions. Her work bridges academic research, nonprofit practice, and social innovation, addressing topics like volunteer management, impact measurement, and the role of technology in the social economy.

Vahid Hosseiniمشاهده پروفایل

دانشیار

• Sustainable Energy Engineering
• Urban Air Pollution
• Clean Mobility
• +۳ مورد دیگر

Dr. Vahid Hosseini is an Associate Professor and Graduate Program Chair in the School of Sustainable Energy Engineering at Simon Fraser University (SFU). His research focuses on sustainable energy systems, urban air pollution, and clean mobility solutions. He holds a Ph.D. in Mechanical Engineering from the University of Alberta (2008), and M.A.Sc. and B.Eng. degrees from Sharif University of Technology (Iran). His academic roles include leadership in graduate academic programs and engineering education. Key research areas include thermo-fluid systems analysis, vehicle emissions reduction, and urban air quality modeling. He is actively involved in projects addressing real-world driving emissions, emission inventory development, and the impact of cold climates on transportation energy consumption and pollution. Notable contributions include studies on retrofit emission control devices for motorcycles, high-emitter vehicle identification, and policy recommendations for emission reduction. His work integrates experimental methods, computational fluid dynamics (CFD), and machine learning to tackle complex environmental challenges. Teaching interests span thermodynamics, fluid mechanics, and air pollution control engineering. Current courses include SEE 325 D100 Mechanical Design and Finite Element Analysis . Research highlights include collaborations on Tehran’s air quality management, particulate matter (PM2.5) source apportionment, and the development of high-resolution emission inventories. He contributes to international conferences and journals, with a focus on practical solutions for sustainable urban transportation systems.

Daniel Wilhelmمشاهده پروفایل

استاد

• Econometrics
• Statistics
• Nonparametric Methods
• +۴ مورد دیگر

Daniel Wilhelm is a Professor of Statistics and Econometrics at LMU Munich, with a courtesy appointment in the Department of Economics. His research focuses on econometric theory, nonparametric methods, measurement error modeling, and statistical inference. He leads the Statistics and Econometrics Group at LMU and holds affiliations with the Centre for Microdata Methods and Practice (CeMMAP), Institute for Fiscal Studies (IFS), and the Centre for Research and Analysis of Migration (CReAM). Wilhelm’s work includes groundbreaking contributions to NPIV estimation, robust statistical testing, and the development of R and Stata packages for rank inference and econometric analysis. His recent publications address topics like rank-based inference, measurement error detection, and high-dimensional independence testing. He organizes academic events such as the Munich Econometrics Seminar and the LMU-Todai Econometrics Workshop. His research emphasizes methodological rigor and practical applications, with a focus on improving statistical techniques for social science and policy analysis.