جست‌وجوی استاد و پژوهشگر

Özge Önerمشاهده پروفایل

دانشیار

• Migration
• Labour Mobility
• Micro-geography of Segregation
• +۶ مورد دیگر

Özge Öner serves as Associate Professor in Spatial Economics and Real Estate at the University of Cambridge's Department of Land Economy and holds a Fellowship at Sidney Sussex College, where she additionally serves as Vice Master and Director of Studies. Her institutional affiliations extend to research fellowships at Stockholm's Institute of Retail Economics and Jönköping's Centre for Entrepreneurship and Spatial Economics (CEnSE). Her academic foundation includes a 2014 PhD in Economics with specialization in Urban and Regional Economics from Jönköping International Business School, complemented by doctoral research at the University of Illinois' Regional Economics Applications Laboratory (REAL). Prior academic appointments include Assistant Professor at Jönköping International Business School and Researcher at Stockholm's Research Institute of Industrial Economics (IFN). Research Interests: Öner's scholarly work critically examines migration dynamics, labor mobility patterns, micro-geographic segregation mechanisms, ethnic enclave formation, retail/service geography, urban amenity distribution, entrepreneurial geography, and political spatial organization. Her methodological approach heavily leverages geocoded register data and spatial econometric techniques to investigate how geographic context shapes economic behavior, with particular emphasis on Swedish and European urban systems. This interdisciplinary framework bridges spatial economics, economic geography, and migration studies through rigorous quantitative analysis of neighborhood-level phenomena. Publication Trends: Her recent output (2023-2025) demonstrates evolving focus toward infrastructure-impact analysis (tramway effects on commercial vitality), refugee labor market integration pathways, and micro-scale retail/ethnic enclave dynamics. Methodologically, she increasingly employs synthetic control approaches and granular geospatial data to isolate causal mechanisms in urban economic processes, while maintaining strong connections to policy-relevant questions about segregation, integration, and commercial geography. Scientific Awards: Handelsbanken Wallander postdoctoral scholarship (2015) Young Investigator Award in Italy (2018) Young Researcher Award in Sweden (2019) from the Swedish Entrepreneurship Forum Advising and Public Engagement: As Director of Studies at Sidney Sussex College, Öner oversees academic progression for undergraduate students. She actively translates research into public discourse through monthly columns in Svenska Dagbladet (The Swedish Daily News), where she analyzes contemporary socioeconomic issues through her spatial economics lens. While specific doctoral advisees aren't documented in source materials, her leadership roles indicate significant mentoring responsibilities. Research Networks: Öner maintains active collaboration through dual research fellowships: at Stockholm's Handelns Forskninginstitut (Institute of Retail Economics) where she examines commercial geography, and at Jönköping's CEnSE focusing on spatial entrepreneurship patterns. These positions facilitate cross-institutional research on retail dynamics, migration geography, and urban economic structures using Scandinavian longitudinal datasets.

Priyanko Guchaitمشاهده پروفایل

استاد

• Organizational Behavior
• Error Management Culture
• Leadership
• +۷ مورد دیگر

Priyanko Guchait is a tenured Full Professor and Program Director of the Doctorate in Global Hospitality Leadership (DGHL) at the Conrad N. Hilton College of Global Hospitality Leadership , University of Houston. His research focuses on organizational behavior, leadership, human resources, and service management in hospitality contexts, with over 75 peer-reviewed articles published. Education: B.E. in Mechanical Engineering, University of Pune, India M.S. in Hospitality Management, University of Missouri M.S. in Human Resources and Employment Relations Ph.D. in Hospitality Management, The Pennsylvania State University Research Interests include error management culture, psychological safety, service recovery performance, leader behavioral integrity, and AI’s impact on hospitality workers’ mental health. His work examines shame, forgiveness climate, and team dynamics in service environments. Article Trends show a focus on multi-level error management, human-robot collaboration in service recovery, diversity inclusion climates, and cross-cultural leadership studies. Recent papers explore AI ethics, pandemic response strategies, and emotional labor in hospitality roles. Awards & Honors Stephen Rushmore/HVS Research Excellence Award (2023, 2015) Donald Greenaway Excellence in Research, Teaching, and Service Award (2022) Best Paper Award, The Service Industries Journal (2023) ICHRIE Faculty Collegiality Award (2021) ICHRIE McCool Breakthrough Award (2021) Honored as 50-in-5 Scholar (2021) Provost’s Excellence Award (2015) Best Reviewer Awards (IJCHM 2016-2017) Committee & Editorial Roles include Associate Editor of IJCHM, Coordinating Editor of IJHM, and leadership positions at ICHRIE (President 2020-2021, Vice President 2019-2020). He has served on university curriculum, research, and Ph.D. selection committees.

• Machine Learning
• Data Mining
• Statistical Process Control
• +۳ مورد دیگر

George Runger is a Professor at the School of Computing and Augmented Intelligence, Arizona State University. His work focuses on analytical methods for knowledge generation and data-driven organizational improvements, particularly in machine learning for large-scale data, real-time analysis, and applications to surveillance, decision support, and population health. Previously, he was a senior engineer and technical leader at IBM. Education: Ph.D. in Statistics, University of Minnesota (1982) Runger's research bridges machine learning, data mining, and statistical process control (SPC) to address challenges in manufacturing, healthcare, and semiconductor systems. His work includes developing artificial contrasts for signal detection, ensemble feature selection, and self-learning decision rules for adaptive SPC. His funded projects span NSF, DOD-NAVY-ONR, and Semiconductor Research Corporation grants, emphasizing supply chain analysis, dimensional metrology, and energy efficiency diagnostics. He has co-authored foundational texts like Applied Statistics and Probability for Engineers and Engineering Statistics . Scientific Awards: Inaugural Department Editor for Healthcare Informatics, INFORMS Transactions on Healthcare Systems Engineering Runger actively contributes to academia as a reviewer for journals like Management Science and IEEE Transactions on Knowledge and Data Engineering , and as a panel member for NSF and INFORMS workshops. He co-directs ASU's Quality and Reliability Engineering Laboratory and the Modeling and Analysis of Semiconductor Manufacturing team.

Lieven Vandenbergheمشاهده پروفایل

استاد

• Convex Optimization
• Semidefinite Programming
• System Identification
• +۶ مورد دیگر

Lieven Vandenberghe is a Professor in the Electrical and Computer Engineering Department and Department of Mathematics at the University of California, Los Angeles (UCLA). His research focuses on convex optimization, semidefinite programming, and applications in signal processing, system identification, and control theory. Books: Co-author of Convex Optimization (2004) and Introduction to Applied Linear Algebra (2018) Courses: Teaches graduate-level courses in linear programming, convex optimization, and numerical computing (ECE236A/B/C, ECE133A/B) Software: Developer of CVXOPT, CHOMPACK, and SMCP for optimization algorithms His research group has produced significant work in sparse matrix computations, operator splitting methods, and applications to machine learning and control systems. Publications span topics like Bregman splitting, proximal gradient methods, and semidefinite programming for signal processing. His advisees include PhD students in optimization and postdoctoral researchers in applied mathematics.

Tyson Govan Phillipsمشاهده پروفایل

مدرس ارشد

• Autonomous Systems
• Robotics
• Mining Automation
• +۴ مورد دیگر

Dr. Tyson Phillips serves as Senior Lecturer and Director of Teaching and Learning at The University of Queensland's School of Mechanical and Mining Engineering within the Faculty of Engineering, Architecture and Information Technology. He is an active Affiliate of the Future Autonomous Systems and Technologies research group, focusing on translating robotics innovations into practical mining applications. His academic leadership includes curriculum development for engineering programs and direct industry engagement with major mining equipment manufacturers. He earned his Doctor of Philosophy (PhD) from The University of Queensland in 2016, with thesis research centered on LiDAR-based perception systems for autonomous excavators. His doctoral work established foundational methods for object pose verification in mining contexts. Phillips' research specializes in robotics perception for extreme mining environments, developing LiDAR-centric solutions for autonomous equipment operation amid dust, fog, and unstructured terrain. Key contributions include evidential reasoning frameworks for uncertainty management, real-time pose estimation algorithms, and sensor fusion techniques for excavators and bulldozers. His work bridges theoretical computer vision with industrial deployment, targeting operational safety and efficiency in mineral extraction. Publication analysis reveals consistent focus on mining robotics since 2012, with recent works (2021-2024) emphasizing minimal-sensor configurations, probabilistic terrain mapping, and vibration-assisted gripper technology. His 14 scholarly outputs demonstrate evolution from sensor evaluation (2012-2015) toward integrated autonomy systems (2018-2024), predominantly in Journal of Field Robotics and Sensors . He actively supervises graduate researchers as Principal Advisor for a PhD on multimodal perception mapping and Associate Advisor for two PhD projects involving spreader systems and physics-informed neural networks. Completed supervision includes a 2024 PhD on bulldozer terrain mapping and a 2021 Master's on shovel/hopper interaction strategies. Research funding spans 14 projects from 2012-2026, including current Australian Coal Association Research Program support (2025-2026) and major Caterpillar Inc. collaborations for ERS self-protection and articulated truck automation. Phillips operates within The University of Queensland's Future Autonomous Systems and Technologies group, which develops field-deployable autonomy solutions for mining partners. This team conducts real-world testing of perception systems using Caterpillar and FMG operational sites as validation environments.

Qiyang Tanمشاهده پروفایل

پژوهشگر

• Additive Manufacturing
• Alloy Development
• Grain Refinement
• +۳ مورد دیگر

Qiyang Tan is a Research Fellow at the School of Mechanical and Mining Engineering , The University of Queensland , with affiliations to the Centre for Advanced Materials Processing and Manufacturing (AMPAM) . His research focuses on additive manufacturing of metals and MAX phases , high-temperature oxidation , alloy development , grain refinement , and machine learning applications in materials science . Education: PhD (The University of Queensland, 2018), Bachelor of Materials Science and Engineering (South China University of Technology, 2014) Dr. Tan’s research expertise includes proposing the Oxide Reinforcement Model to understand metal oxidation resistance and applying the E2EM crystallographic model to identify new grain refiners for additively manufactured materials. His work spans Al, Ti, Cu alloys , steels , and γ-TiAl intermetallic alloys , aiming to improve processability in additive manufacturing for advanced ceramics and metallic-ceramic composites. His 15 most recent publications highlight trends in additive manufacturing , grain refinement , hydrogen embrittlement , and machine learning in alloy design , with applications in high-strength alloys , ceramics , and extreme environment materials . Dr. Tan is available for supervision and has secured funding from organizations such as the Australian Research Council (ARC) , Baosteel-Australia Joint Research and Development , and HBIS Group Co, Ltd .

• Mental Health
• Primary Care
• Depression
• +۷ مورد دیگر

Professor Irwin Nazareth serves as Professor of Primary Care and Population Science at University College London's Department of Primary Care & Population Health. He previously held leadership roles including Head of Department (2006-2015) and Director of the MRC General Practice Research Framework (2005-2012), and currently directs the PRIMENT Clinical Trials Unit. His work bridges clinical practice, research, and education in primary care settings. His research spans mental health in primary care , with specific focus on depression, anxiety, psychosis, addiction disorders, and unexplained medical symptoms. Methodologically, he specializes in designing complex intervention trials and analyzing big data from clinical databases. His work extends internationally across Europe, South America, Africa, and South Asia, with significant projects in India. Nazareth's recent publications reveal strong trends in functional neurological disorders (particularly Physio4FMD trials), epilepsy dietary interventions (KIWE trials), and digital health solutions for tobacco cessation. His work consistently combines clinical neurology, mental health, and innovative trial methodologies with practical primary care applications. As an educator, he supervises doctoral students in Primary Care and Mental Health, teaches clinical medicine to medical students, and provides continuing education for GPs. He also leads Commonwealth Fellowship programs training healthcare professionals from Africa, India, Southeast Asia, and the Caribbean. Secured major funding from MRC, Wellcome Trust, Cancer Research UK, European Commission, and NIHR Extensive international collaborations across multiple continents Focus on implementation of research findings into clinical practice Expertise in complex intervention trials and big data analysis

Loic Binanمشاهده پروفایل

استادیار

• Cancer metastasis
• Spatial transcriptomics
• Gene regulatory networks
• +۷ مورد دیگر

Loic Binan is an Assistant Professor in the Department of Human Genetics at McGill University, with additional affiliations as an Associate Member in the Department of Biomedical Engineering and the Integrated Program in Neuroscience. His research focuses on developing cutting-edge technologies to investigate how gene networks control the self-organization of cells into complex 3D tissues during development and in disease conditions. Dr. Binan's research interests span multiple interdisciplinary fields, with particular emphasis on cancer metastasis , where he investigates the genetic mechanisms allowing cells to reversibly transition between epithelial and mesenchymal phenotypes. His work also explores isoforms and non-coding regions , developing technologies to understand alternative splicing in neurodegenerative diseases, and examining how past cell-cell interactions shape present transcriptional activity during development. His laboratory employs a diverse array of techniques including CRISPR gene editing, spatial transcriptomics, single-cell RNA sequencing, advanced microscopy, and computational methods for image analysis. The recent publications reveal a strong trend toward integrating high-throughput genetic screening with spatial transcriptomics to map gene regulatory networks across both cancer biology and neuroscience contexts. Dr. Binan leads the Binan Lab at the Lady Davis Institute for Medical Research, where his team develops precision gene editing tools such as Cas9 and Cas12 for high-throughput screens, creates novel imaging tools to collect spatial context data, and builds computational tools to analyze these complex new data types. His research primarily focuses on cancer and neurodegenerative diseases, with particular attention to brain development and tumor microenvironments.

• Machine Learning
• Statistical Methodology
• Computational Biology
• +۵ مورد دیگر

Eric P. Xing is a Professor at the Language Technologies Institute of Carnegie Mellon University , and currently serves as President of the Mohamed bin Zayed University of Artificial Intelligence . His work bridges machine learning methodology with computational biology and large-scale AI systems . Research Focus: Developing machine learning theory for high-dimensional, dynamic data Building foundation models for biology (AIDO, scLong, ProteinAligner) Designing scalable AI architectures (Pollux, LLM360, PAN) Advancing interpretable and controllable NLP systems Scientific Leadership: Founded the SAILING Lab at CMU Co-chaired ICML 2014 and ICML 2019 Recipient of the Jay Lepreau Best Paper Award (OSDI 2021) Education & Mentorship: Advises PhD students across machine learning and computational biology Alumni include faculty at ETH Zurich, University of Chicago, and UC San Diego

Pamela K. Smithمشاهده پروفایل

استاد

• Power and Status
• Social Cognition
• Motivation and Goal Setting
• +۳ مورد دیگر

Pamela K. Smith is a Professor of Economics and Management at the Rady School of Management, University of California San Diego. Her research examines power, status, influence, and hierarchical dynamics in social and organizational contexts, with significant contributions to understanding gender representation in workplaces. Education: Ph.D. in Social Psychology, New York University (2004) Dr. Smith's work investigates how power affects cognitive processing, motivation, and interpersonal behavior. She explores how individuals signal and perceive power through language, nonverbal cues, and decision-making patterns. Her research demonstrates that power increases abstract thinking, alters temporal discounting, and influences social judgments like blame attribution. She also examines gender disparities in professional settings, including women's representation at academic conferences. Her 15 most recent publications (2016-2025) reveal consistent focus on power dynamics across multiple domains. Key trends include the relationship between power and prosocial behavior, the role of communication medium in signaling power, and gender-based inequities in academic and organizational hierarchies. Publications appear in top journals including Journal of Personality and Social Psychology and Personality and Social Psychology Bulletin. Scientific Awards: No major awards listed in source material Dr. Smith serves on editorial boards for Journal of Personality and Social Psychology and Social Psychological and Personality Science, having previously held associate editor roles at Personality and Social Psychology Bulletin. While specific grant details aren't provided, her sustained publication record in high-impact journals indicates successful research funding. She mentors graduate students through UCSD's Ph.D. program. Dr. Smith leads an active research laboratory investigating power dynamics in everyday contexts, with recent work examining how power manifests through vocal pitch, visual communication, and decision-making processes. Her lab's findings have practical implications for leadership development and creating equitable organizational structures.

Kana M. Sureshanمشاهده پروفایل

استاد

• Topochemical Synthesis
• Supramolecular Chemistry
• Polymer Science
• +۷ مورد دیگر

Prof. Kana M. Sureshan is a leading researcher at IISER Thiruvananthapuram 's School of Chemistry , specializing in topochemical synthesis , supramolecular chemistry , and polymer science . His work bridges materials chemistry and carbohydrate-based systems , with a focus on solid-state reactions and CO2 capture materials . Education : PhD (National Chemical Laboratory, Pune), MSc (University of Calicut), BSc (University of Calicut) Experience : Professor (2020-present), Associate Professor (2014-2019), Assistant Professor (2009-2014), Senior Scientist (2008-2009) His research interests include topochemical polymerization , self-healing materials , and crystal engineering . He pioneered solid-state synthesis of polymers with unique properties like helical structures and moisture-responsive adhesives . Recent article trends highlight CO2 capture materials (2025), collagen mimics (2025), and hierarchical crystal transformations (2024). Scientific Awards include JC Bose Fellowship (2024), Fellow of RSC (2018), Swarnajayanti Fellowship (2013), and Young Scientist Award (MIT, 2015). He serves on editorial/advisory boards for Chemical Society Reviews , Angewandte Chemie , and ACS Sustainable Chemistry and Engineering . His grants and collaborations span institutions in Germany, UK, and Japan. He has mentored numerous students and developed eco-friendly organogelators for marine oil-spill recovery (2016-2018).

Leanne F. Alaridمشاهده پروفایل

استاد

• Gender and Crime
• Community Corrections
• Institutional Corrections
• +۵ مورد دیگر

Dr. Leanne F. Alarid is a Professor in the Department of Criminal Justice at The University of Texas at El Paso, College of Liberal Arts. She earned her Ph.D. in Criminal Justice from Sam Houston State University and focuses on gender and crime, corrections policy, and mental health intersections with the justice system. Research Focus: Gender-specific analysis of criminal behavior, correctional treatment strategies, and mental health policy Current Project: Lead Evaluator for Bureau of Justice Assistance grant on jail-based reentry programs Editorial Roles: Member, Corrections: Policy, Practice and Research , Women and Criminal Justice , and Criminal Justice Policy Review Her recent publications emphasize community corrections , prison reentry , and gender dynamics in criminal justice , with a focus on implementation science and policy evaluation. She has contributed to journals like Justice Quarterly and The Prison Journal , alongside authoring major textbooks such as Community-Based Corrections and Corrections . Scientific Awards: 2011 Founder’s Award, Academy of Criminal Justice Sciences Dr. Alarid teaches courses including Correctional Systems, Community Corrections, Criminology, and Study Abroad programs in London. She actively evaluates correctional interventions and contributes to public policy discussions on decarceration and mental health diversion.

• Substance Use Disorders
• Alcohol Use Disorders
• Tobacco Use Disorders
• +۵ مورد دیگر

Walter Roberts is an Assistant Professor in the Psychiatry Department at Yale School of Medicine with a secondary appointment in Biomedical Informatics & Data Science. A licensed clinical psychologist specializing in substance use treatment, particularly alcohol and tobacco use disorders, he combines clinical expertise with technological innovation in his research program. Dr. Roberts received his PhD in Clinical Psychology from the University of Kentucky in 2016. His research program employs multiple methodologies to identify the causes and consequences of substance use in humans, with a focus on developing mobile biosensor platforms that can passively detect and predict substance use behaviors. These systems, built using machine learning and informatics techniques, aim to improve assessment and targeted delivery of interventions in clinical and research settings. He also investigates risk factors for hazardous alcohol use using clinical and epidemiological data and maintains an active interest in research ethics related to substance use research. Dr. Roberts' publication record reveals a strong focus on alcohol use disorders, with increasing integration of digital phenotyping and AI technologies in recent years. His work spans from traditional clinical studies to cutting-edge investigations using wearable technology and machine learning. The research shows a clear trajectory toward developing objective, real-time assessment methods for substance use behaviors, with particular attention to sex and gender differences in alcohol-related outcomes. Recent publications demonstrate growing interest in ethical considerations surrounding digital technologies in substance use research. MD2K Training Institute Summer Scholar (2023) Early Career Scientist Award from CHADD (2015) Enoch Gordis Award Finalist from Research Society on Alcoholism (2013) Dr. Roberts serves as a Sub Investigator on multiple clinical trials related to alcohol addiction and mental health, including studies examining the effects of acute stress and inflammation on drinking behavior, combining varenicline and guanfacine for smoking cessation, and investigating whether propranolol attenuates stress-induced drinking. His collaborative network includes frequent co-authors such as Sherry McKee, Terril Luce, MacKenzie Peltier, Yasmin Zakiniaeiz, and Bubu Banini. His research has been featured in YaleNews, highlighting work on using smartwatches to better understand psychiatric illness.

Adele Diamondمشاهده پروفایل

استاد

• Developmental Cognitive Neuroscience
• Executive Functions
• Prefrontal Cortex
• +۶ مورد دیگر

Adele Diamond is a Professor at the University of British Columbia 's Faculty of Medicine , Department of Psychiatry . She pioneers Developmental Cognitive Neuroscience and challenges traditional educational and medical paradigms through her work on executive functions (EFs) and their modulation by dopamine , stress , and educational interventions . Her educational background includes: Philosophy of Science, London School of Economics (1972) B.A. in Psychology and Sociology & Anthropology, Swarthmore College (1975) Ph.D. in Developmental Psychology, Harvard University (1983) Postdoctoral Fellowship in Neuroanatomy, Yale University School of Medicine (1982-1985) Research focuses on: EFs ( cognitive flexibility , working memory , self-control ) and their neural bases in prefrontal cortex Gene-environment interactions like COMT gene polymorphism and sex differences under stress Interventions: mindful movement , Tools of the Mind curriculum, physical activity , and the arts Key scientific awards include: Fellow, Royal Society of Canada Huttenlocher Award (Flux Society for Developmental Cognitive Neuroscience) Two Honorary Doctorates (University of Cambridge, Erikson Institute) She mentors PhD students in Neuroscience, Population and Public Health, and Interdisciplinary Studies. Her lab at UBC's Centre for Brain Health and BC Children's Hospital Research Institute integrates neuroimaging (fMRI) with genetic analysis and intervention studies . Recently organized the 4-day international conference 'A Joyous Celebration' uniting 400+ attendees from 45 countries.

Ryozo Nagamuneمشاهده پروفایل

استاد

• Control Engineering
• Control of floating offshore wind turbines and wind farms
• Control of integrated solar thermal systems
• +۶ مورد دیگر

Ryozo Nagamune is a Professor in the Department of Mechanical Engineering within the Faculty of Applied Science at the University of British Columbia (UBC). His research focuses on control engineering with specific expertise in floating offshore wind turbines, integrated solar thermal systems, and metal additive manufacturing processes. He maintains active collaborations with NSERC, MITACS, and industry partners including Ascent Systems Technologies. Dr. Nagamune received his B.Sc. and M.Sc. degrees from Osaka University, followed by a Ph.D. from the Royal Institute of Technology in Stockholm, Sweden. His educational background laid the foundation for his expertise in control systems theory and applications. His primary research interests center on control engineering, with particular emphasis on the control of floating offshore wind turbines and wind farms, integrated solar thermal systems, directed energy deposition metal additive manufacturing processes, engine aftertreatment systems, and data-driven modeling and control of dynamical systems. His work addresses critical challenges in renewable energy, manufacturing, and automotive applications, focusing on optimization, robustness, and efficiency improvements. The research spans theoretical developments in control algorithms to practical implementation in real-world systems. Analysis of Dr. Nagamune's recent publications reveals a strong focus on floating offshore wind turbine control, which constitutes approximately 40% of his recent work. Another significant portion (30%) addresses automotive control systems, particularly selective catalytic reduction for emissions control. The remaining publications cover diverse applications including haptic interfaces, spacecraft control, and precision manufacturing systems. His research demonstrates a consistent pattern of applying advanced control methodologies to solve practical engineering problems across multiple domains. Dr. Nagamune leads the Control Engineering Laboratory at UBC (located in KAIS 3104) and actively seeks collaborations with industry partners, research clusters, and interdisciplinary teams. His research is supported by major funding agencies including NSERC and MITACS, as well as industry partnerships. He is available for supervision of graduate students and expresses interest in working with undergraduate students on research projects. Dr. Nagamune welcomes interdisciplinary research opportunities and is particularly interested in collaborations that bridge multiple engineering domains.