جست‌وجوی استاد و پژوهشگر

Tom Zagenczykمشاهده پروفایل

استاد

• Organizational Behavior
• Social Networks
• Employee Stress Management
• +۳ مورد دیگر

Tom Zagenczyk is a Professor of Management at the Department of Management, Innovation and Entrepreneurship (MIE) in the Poole College of Management at North Carolina State University. He holds a PhD in Organizational Behavior and Human Resource Management from the University of Pittsburgh (2006) and previously served at Clemson University for 16 years. His research focuses on social influence in workplaces, organizational networks, and employee stress management. He has authored over 50 publications in top-tier journals and secured $8M+ in NSF/ARC grants. He currently serves as Associate Editor for Group & Organization Management and has received multiple awards, including the 2021 Senior Scholar Award (Clemson). Education: PhD (2006) and BS (Business Admin) from University of Pittsburgh Research Interests: Social networks, psychological contracts, co-worker exclusion, organizational identification Editorial Roles: Editor-in-Chief of GOM (2020-2022), Associate Editor (current) His work bridges sociology and psychology to address workplace challenges such as stressors from abusive supervision and network positioning. Recent studies examine resilience during crises (e.g., pandemic impacts) and the role of compassion in mitigating workplace breaches. He has been cited over 10,000 times according to Google Scholar. Awards: 2021 Senior Scholar Research Excellence Award 2012 Emerging Scholar Award 2016 Governor’s Young Researcher Nomination Grants & Funding: Over $8M secured from NSF and Australian Research Council for collaborative research projects on organizational networks and stress management.

Sven Feurerمشاهده پروفایل

استاد پژوهشی

• Consumer Behavior
• Pricing
• Innovation Management
• +۵ مورد دیگر

Prof. Dr. Sven Feurer is a Research Professor of Marketing at Bern University of Applied Sciences' Business School, leading the Institut Marketing & Global Management. His roles include Co-Institutsleiter and Head of the Marketing Group since 2022. He holds a PhD from the University of Mannheim and has held academic positions at Karlsruhe Institute of Technology and Vanderbilt University. His research focuses on consumer behavior, pricing strategies, innovation management, and marketing ethics, with prominent publications in Journal of Marketing , Journal of Consumer Research , and Journal of Product Innovation Management . His research explores topics such as radical innovation adoption, technology acceptance, and pricing fairness. Notable projects include studying AI's influence on price perception and consumer reactions to personalized pricing. He collaborates internationally, including with Vanderbilt University's Owen Graduate School of Management. Feurer’s 20+ peer-reviewed articles address dynamic energy tariffs, B2B social media use, and consumer responses to really new products. He co-authored the 2024 book Price fairness . His work bridges academic rigor and practical marketing challenges, emphasizing ethical considerations in pricing and innovation.

Aamna AlShehhiمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Big Data Analytics
• +۷ مورد دیگر

Dr. Aamna AlShehhi serves as an Assistant Professor in the Department of Biomedical Engineering and Biotechnology at Khalifa University, where she has pioneered AI-driven healthcare solutions since joining in 2020. Her interdisciplinary expertise bridges electrical engineering, computer science, and clinical medicine through innovative research collaborations with MIT, Imperial College London, and Novartis. Her educational foundation includes: Bachelor's in Software Engineering, United Arab Emirates University (2009) Master's in Computing and Information Science, Masdar Institute (MIT collaboration) (2013) PhD in Interdisciplinary Engineering, Masdar Institute (MIT collaboration) (2017) Dr. AlShehhi's research centers on artificial intelligence for healthcare transformation , with emphasis on neurodegenerative disease prediction, rare disease diagnostics, and wearable-based gait analysis. She develops constrained deep learning models for Alzheimer's biomarker discovery, self-supervised frameworks for emotion recognition using smartphone data, and physics-informed neural networks for biomechanical analysis. Her work integrates multimodal data including fMRI, genomic sequences, and real-world behavioral metrics to address critical gaps in dementia screening, cancer detection, and mental health monitoring. Analysis of her 2023-2025 publications reveals three dominant trends: (1) Explainable AI architectures for clinical decision support, particularly constrained graph neural networks analyzing comorbidity networks in Alzheimer's; (2) Multimodal sensor fusion systems combining wearables, keystroke dynamics, and fMRI for neurological assessment; (3) Self-supervised learning approaches enabling robust performance with limited medical data. Her work consistently targets real-world clinical deployment through portable systems like smart gait analyzers and remote depression screening tools. Dr. AlShehhi actively mentors the next generation of biomedical engineers: Ferial J. Abuhantash (Ph.D. candidate) Khalid Ahmed Abdulla (Master's student) Her research is supported through strategic partnerships with Novartis Institute for Biomedical Research and collaborative grants enabling AI-driven drug repurposing for dementia and genomic cancer detection. She leads projects analyzing skin lesions for melanoma screening and developing deep learning models for early-stage cancer detection using genomic data. As a core member of Khalifa University's Healthcare Engineering Innovation Group , she directs a multidisciplinary team including Postdoctoral Fellow Dr. Sherlyn Jemimah and Research Assistant Chahd Maher Musthafa Chabib. Current initiatives focus on creating deployable AI systems for clinical settings, with ongoing work on portable gait assessment tools for rehabilitation centers and real-time emotion recognition platforms for mental health monitoring.

James Holehouseمشاهده پروفایل

پژوهشگر

• Mathematical Biology
• Stochastic Processes
• Non-Equilibrium Statistical Physics
• +۷ مورد دیگر

James Holehouse is a Researcher at the Santa Fe Institute and holds a PhD in Mathematical Biology from the University of Edinburgh . His work spans stochastic processes and non-equilibrium statistical physics applied to biological, economic, and social systems. PhD thesis: Model reduction, mechanistic modelling and transience in models of stochastic chemical kinetics (2022) MPhys in Theoretical Physics from the University of Edinburgh Research interests focus on: Regulatory mechanisms and costs in cells, companies, and governments Gene expression stochasticity and cell volume effects on physiology Rule evolution in governance and sports systems First-passage time processes and non-equilibrium systems His 15 most recent publications (2023-2025) analyze transcriptional entropy production , disordered interval dynamics , and stochastic gene regulation . A key theme involves applying orthogonal polynomial solutions to solve three-term recurrence relations in social choice models. Awarded Reinhart-Heinrich Doctoral Thesis Award (2022) for innovative work in stochastic systems Collaborated with Sidney Redner (SFI), Ramon Grima (Edinburgh), and Hernan Garcia (UC Berkeley) He has organized seminars on complexity approaches to bureaucracy at St. Johns College (Santa Fe) and presented at the Complex Systems Society and ECMTB conferences. Current projects include historical analysis of sports rulebooks (rugby/cricket) and non-equilibrium thermodynamics in transcription .

• Psychophysiology
• Social Cognition
• Traumatic Brain Injury
• +۳ مورد دیگر

Dr. Jacqueline Rushby is a Conjoint Senior Lecturer at the School of Psychology, University of New South Wales. Her position involves part-time academic engagement in psychophysiological research and neuropsychological rehabilitation. Her research investigates disorders of social cognition and emotional processing in clinical populations, with emphasis on traumatic brain injury (TBI), autism spectrum disorder (ASD), and frontotemporal dementia. Key methodologies include EEG/ERP analysis, transcranial direct current stimulation (tDCS), and autonomic arousal measurement to explore neural correlates of empathy deficits and emotion regulation. Recent publications demonstrate a consistent focus on neurorehabilitation mechanisms, with frequent examination of tDCS efficacy, emotion recognition impairments, and autonomic dysregulation in TBI populations. Studies increasingly integrate multimodal physiological measures (e.g., HRV biofeedback, facial EMG) with neurocognitive assessments. No scientific awards or prizes are documented in the provided materials. Information regarding student advising, research grants, laboratory affiliations, or team collaborations is unavailable in the source text.

Xiaoming Zhengمشاهده پروفایل

استاد

• Computational Mathematics
• Fluid Dynamics
• Numerical Partial Differential Equations
• +۴ مورد دیگر

Xiaoming Zheng is a Professor of Mathematics at Central Michigan University (CMU), specializing in computational mathematics and mathematical biology. His research focuses on fluid dynamics, numerical partial differential equations, and biological systems such as tumor growth and angiogenesis. He leads a collaborative NSF-funded project (DMS-2309747) investigating computational methods for incompressible fluids and magnetohydrodynamic turbulence, with implications for weather prediction and plasma physics. Zheng earned his Ph.D. in Applied Mathematics from the University of California, Irvine (2005), and holds M.S. and B.S. degrees in Mathematics from Peking University and Nanjing University, respectively. Research & Grants: Zheng’s work bridges numerical analysis and biological modeling, with contributions to tumor growth dynamics, angiogenesis mechanisms, and fluid-structure interactions. His NSF project (2023–2026) develops novel computational tools for fluid dynamics, promoting interdisciplinary training and community engagement through K-12 outreach. Education: Ph.D., Applied Mathematics, University of California, Irvine (2005) M.S., Computational Mathematics, Peking University (1999) B.S., Mathematics, Nanjing University (1996) Research Interests: Computational Mathematics: Incompressible fluids, Navier-Stokes equations, interface-fitted adaptive mesh methods. Mathematical Biology: Tumor growth modeling, angiogenesis, infectious disease dynamics. Advising & Training: Zheng mentors graduate and undergraduate students in computational and biological mathematics, emphasizing interdisciplinary research. His projects include training underrepresented groups and fostering collaborations with institutions like Notre Dame. Labs & Simulations: His lab produces simulations of tumor growth under Darcy’s Law and Boussinesq equations, visualizing phenomena such as plume formation and temperature redistribution in buoyancy-driven flows.

Greg Woodمشاهده پروفایل

دانشیار

• Sensorimotor Control
• Neuroscience
• Sports Medicine
• +۳ مورد دیگر

Dr. Greg Wood is a Reader in Sensorimotor Control at Manchester Metropolitan University, focusing on neurophysiological mechanisms underlying movement control and neurological disorders. His research integrates MRI, TMS, EEG, and EMG to study brain-muscle interactions, particularly in contexts like sports-related head impacts and developmental coordination disorder (DCD). He serves as Editor-in-Chief of the International Review of Sport and Exercise Psychology . Key research areas include: 1) Effects of head impacts on brain function and motor control in soccer players, 2) Neurological basis of DCD and intervention strategies, 3) Motor learning principles applied to prosthetic control and sports performance. His work bridges clinical, sports, and cognitive neuroscience domains. Recent publications highlight innovations like VR-based motor training for DCD and the Prosthesis Task Load Index (PROS-TLX). He collaborates extensively with clinicians and sports scientists, contributing to both theoretical advancements and practical interventions.

• Behavioral Economics
• Environmental Policy
• Energy Economics
• +۳ مورد دیگر

Valeria Fanghella is an Assistant Professor at Grenoble École de Management (GEM), specializing in the Department of Management & Technology. Her research focuses on applying behavioral economics to analyze households' energy choices and their reactions to energy policies, as well as exploring the intersection of cognitive biases and moral decision-making. Fanghella holds an engineering degree from Politecnico di Milano and a PhD in Economics from the University of Trento. Educational Background: Engineering Degree: Politecnico di Milano PhD in Economics: University of Trento Research Interests: Her work bridges behavioral economics with environmental policy, examining how cognitive biases influence energy consumption decisions and policy effectiveness. She investigates topics such as moral cleansing, prosocial behavior, and the role of self-interest in shaping preferences for energy efficiency measures. Her interdisciplinary approach also addresses issues like migration as an adaptation to hydroclimatic changes and the psychological mechanisms behind charitable giving. Key Research Contributions: Fanghella's recent work explores topics such as the impact of populism on renewable energy support, motivated reasoning in environmental decision-making, and the effectiveness of nudges in promoting energy conservation. Her studies utilize experimental methods to analyze behavioral responses to policy interventions, including discrete choice experiments and online behavioral experiments. She also examines real-time economic indicators using electricity market data to assess pandemic impacts. Advising and Grants: While specific advising details are not listed, her research often involves collaborative projects with institutions and policymakers. Grant information is not provided in the available texts. Affiliations: Fanghella is affiliated with GEM's Department of Management & Technology and collaborates with interdisciplinary research networks focused on behavioral economics and environmental policy.

• Schizophrenia Spectrum and Other Psychotic Disorders
• Neuroimaging
• Cognitive Neuroscience
• +۴ مورد دیگر

Dr. Naomi Driesen is a Research Scientist in Psychiatry at Yale School of Medicine, specializing in neuroimaging and the prefrontal cortex’s role in schizophrenia. She holds a PhD from the University of Memphis (1997), MA from the University of Virginia (1989), and BA from Yale University (1984). Her research focuses on schizophrenia, cognitive neuroscience, and the effects of ketamine on brain function, with over 20 years of publications in peer-reviewed journals. Notable studies include investigating ketamine’s impact on psychopathology and functional connectivity differences between schizophrenia and bipolar disorder. She collaborates on clinical trials involving AMPA receptor modulation and cannabinoid receptor imaging. Dr. Driesen’s work bridges neuroimaging, pharmacology, and psychiatric disorders, contributing to understanding cognitive deficits and therapeutic interventions.

Wenqing Huمشاهده پروفایل

دانشیار

• Probability
• Data Sciences/Machine Learning/Optimization
• Operations Research
• +۲ مورد دیگر

Roles & Affiliations: Wenqing Hu is an Associate Professor of Mathematics at the Department of Mathematics and Statistics, Missouri University of Science and Technology (formerly University of Missouri, Rolla). He holds memberships in professional societies including The Bachelier Finance Society, INFORMS, SIAM, and the Society of Actuaries. Education: Ph.D. in Mathematics, University of Maryland at College Park (2013) B.S. in Mathematics, Peking University (2008) Research Interests: His work spans Probability (stochastic analysis, multiscale problems), Machine Learning (optimization algorithms, neural networks), Operations Research (smart grid systems), Math Biology (Ao's potential function), and Cryptology (zero-knowledge proofs in blockchain). Recent breakthroughs include contributions to zero-knowledge virtual machines and high-dimensional data analysis . Publications Overview: His 15 most recent works (2025-2012) span topics like cryptology (e.g., zkEVM), stochastic differential equations, and reinforcement learning applications in manufacturing. Key themes include stochastic processes, nonlinear optimization, and interdisciplinary applications in energy systems and biology. Awards & Grants: Miner Alumni Teaching Award (2018) Simons Foundation Collaboration Grant (2020-2025) NSF-funded travel support for the 2018 ICM Labs & Collaborations: Active in cross-disciplinary projects such as subspace indexing on Grassmann manifolds and nonlinear optimization in ML .

Xing Liمشاهده پروفایل

استاد

• International Relations
• Globalization and Social Change
• China and International Relations
• +۵ مورد دیگر

Xing Li is a Professor in the Department of Politics and Society at Aalborg University, affiliated with the Faculty of Social Sciences and Humanities. Their research focuses on global political dynamics, particularly China's role in international relations, multi-order world governance, and Arctic peace initiatives. Key projects include the 'Anticipating Governance in the Coming Multi-Order World' (2023-2026) and 'Preserving the Arctic as an International Zone of Peace' (2021-2023). Education details are not explicitly provided in the text, but Li's expertise spans international relations theory, political economy, and development studies. Their research interests integrate themes like globalization, social change, and East Asian regional integration, often addressing contemporary challenges in global governance. Recent research trends include interdisciplinary collaboration between political science and technical fields (e.g., energy systems and materials science), as evidenced by publications on fuel cell diagnostics and battery technologies. These studies highlight innovative applications of data-driven methods in both social and engineering contexts. Li has received the 'Teacher of the Year' award (2020) and has supervised one PhD student, J. Pang. They actively engage in academic activities, including organizing conferences on global south dynamics and multi-order world narratives. Li's work is supported by grants from institutions like the Asia Foundation and has been widely disseminated through media outlets like China Daily and South China Morning Post .

• Medical Image Analysis
• Computer Vision
• Machine Learning
• +۷ مورد دیگر

Tolga Tasdizen is a Professor in the Department of Electrical & Computer Engineering and an Adjunct Professor at the School of Computing, University of Utah. His research bridges computer vision, machine learning, and interdisciplinary applications in medical imaging, nuclear forensics, and urban health. Primary affiliation: Department of Electrical & Computer Engineering, University of Utah Secondary affiliation: School of Computing, University of Utah Research Interests Developing novel deep learning frameworks for histopathological image analysis and medical signal processing Applying computer vision to characterize built environments and examine public health outcomes Advancing nuclear forensic techniques through material morphology and machine learning Exploring biases in AI models for clinical and epidemiological applications Creating explainable AI workflows for medical diagnostics Analyzing urban infrastructure impacts on traffic safety and chronic disease prevalence Article Trends demonstrate expertise in: Medical imaging (histopathology, ECG analysis, chest X-rays) with applications in Alzheimer's disease and cancer diagnostics Urban health studies using Google Street View data to assess built environments' impacts on obesity, diabetes, and traffic injuries Nuclear forensics through SEM image analysis of uranium oxides and actinide materials Robust AI training techniques (contrastive learning, domain adaptation) for clinical and environmental datasets Collaborative Networks span radiology, cardiology, epidemiology, and nuclear engineering disciplines. His work often involves multi-institutional teams and emphasizes scalable data collection methods like eye-tracking and computer vision.

Marnix Naberمشاهده پروفایل

استادیار

• Visual Perception
• Consciousness
• Psychophysiology
• +۱۲ مورد دیگر

Dr. Marnix Naber is an Assistant Professor at the Department of Experimental Psychology, Faculty of Social and Behavioural Sciences, Utrecht University. He leads the Psychophysiology of Perception Laboratory and maintains a collaboration with Harvard University's Vision Sciences Lab. Current affiliations: Utrecht University (Experimental Psychology), Neurolytics (HR technology), and Holland Startup (external PhD supervision) Previous roles: Leiden University (Cognitive Psychology Unit), Harvard University (Vision Sciences Lab), Philipps-University Marburg (Neurophysics PhD) Research Focus: Integrates psychophysiology with visual perception and consciousness studies. Key methods: pupillometry, EEG, eye tracking, remote photoplethysmography, and computational modeling. Applications span clinical diagnostics, human-centered AI, and HR technology. The 2013-2022 publications show strong emphasis on pupil dynamics (7/15), binocular rivalry (2/15), and remote physiological measurement (3/15). Methodological contributions include open-source MATLAB rPPG tools and standardized reporting frameworks. Scientific Impact: ERC Consolidator grant supporting AttentionLab research NWO grant for 2013 imitation studies Google Scholar: Q4HBMeoAAAAJ Advising: Supervises multiple PhD and Master's students across experimental psychology, ophthalmology, and neurotech domains. Laboratory Activities: Develops and shares open-source tools like rPPG for heart rate detection and maintains active collaborations with medical (UMC Utrecht), tech (Neurolytics), and academic institutions (Harvard, Leiden).

ADA MARIA PEREZ PICOمشاهده پروفایل

مدرس

• Financial Economics
• Behavioral Finance
• Social Media Analysis
• +۳ مورد دیگر

Ada Maria Perez Pico is a Lecturer at the Department of Financial Economy and Accounting within the Faculty of Administration and Business Management at the University of Santiago de Compostela. She holds a Doctorate from the same university with a thesis focusing on investor sentiment and financial markets through social networks (2019). Her research interests center on behavioral finance, social media's impact on market dynamics, sustainability in finance, and cryptocurrency markets. She is affiliated with the CVSO research group (Creation of Sustainable Value in Organizations). Key contributions include analyzing investor sentiment's role in stock returns, cryptocurrency volatility, and sustainability practices in post-COVID industries. Her publications span 15 articles between 2016-2025, emphasizing interdisciplinary approaches linking social media analytics with traditional finance theories. Notable themes include digital platforms' influence on stock markets, pandemic-driven economic shifts, and innovative financing models for startups. She has collaborated with advisors like Dra. Angeles López Cabarcos and Dr. Juan Piñeiro Chousa. While no specific awards are listed, her work reflects sustained engagement with cutting-edge topics in financial economics and sustainable value creation.

JoEllen Seftonمشاهده پروفایل

استاد

• Tactical Athlete Health and Performance
• Injury Prevention
• Neuromechanics
• +۵ مورد دیگر

JoEllen Sefton, Ph.D., ATC Ret., serves as Professor and Director of both the Warrior Research Center (WRC) and Neuromechanics Research Laboratory at Auburn University's School of Kinesiology. Her nationally recognized work focuses on reducing injury and enhancing health, wellness, and performance in military personnel, firefighters, and law enforcement through translational research and strategic partnerships with military laboratories, government agencies, and industry. Her academic foundation includes a Ph.D. in Interdisciplinary Biology & Sports Medicine from the University of North Carolina at Charlotte (2007), M.S. in Exercise Science (2003), Athletic Training certification (2001), Medical Massage Therapy training (1995), and B.S. in Zoology from Ohio University (1981). Ph.D.: Interdisciplinary Biology & Sports Medicine, UNC Charlotte (2007) M.S.: Exercise Science, Central Connecticut State University (2003) B.S.: Zoology, Ohio University (1981) Sefton's research program centers on tactical athlete human factors, integrating neuromechanics, injury prevention, and performance optimization. She pioneered the biennial WRC Tactical Athlete Summit connecting researchers with military and first responder units. Her field-based methodology bridges laboratory discoveries with real-world applications, focusing on physiological stress responses, equipment modifications, and evidence-based training protocols for high-risk occupations. This approach has generated over 100 publications addressing critical challenges in tactical performance. Analysis of her 15 most recent publications (2023-2025) reveals three dominant research thrusts: physiological responses to occupational stressors (particularly in firefighting contexts), technological interventions for performance enhancement (including exoskeletons and virtual assessment tools), and musculoskeletal health optimization (focusing on myofascial pain and prosthetic integration). These studies consistently employ rigorous field testing combined with laboratory validation to develop actionable solutions for tactical populations. Sefton directs the Warrior Research Center, which evolved from the 8-year Warrior Athletic Training Program providing comprehensive injury care for military personnel. Her leadership fosters interdisciplinary collaboration across 15+ military units and research institutions, securing federal and industry funding to address complex human performance challenges. Current initiatives include developing predictive injury models, validating wearable monitoring technologies, and creating occupation-specific fitness standards that account for sex differences and environmental stressors.