جست‌وجوی استاد و پژوهشگر

Moray Newlandsمشاهده پروفایل

استاد

• Low Carbon Concrete
• Sustainability
• Recycling of Materials
• +۵ مورد دیگر

Dr. Moray Newlands is a Reader in Civil Engineering and Associate Dean for Enterprise and Economic Transformation at the University of Dundee's School of Science and Engineering. He holds a PhD in Concrete Technology from the same institution. His research focuses on low-carbon concrete, sustainable materials, and renewable energy infrastructure, with an emphasis on reducing construction costs through innovative methods like additive manufacturing. He leads European standardization efforts for concrete durability testing and organizes the Dundee Concrete Conference. Newlands has secured funding from UK Research Councils, Innovate UK, and industry partners, contributing to over 65 publications and two key awards. Education: Doctor of Philosophy (2001), University of Dundee Master of Science (1996), University of Dundee Bachelor of Engineering (1996), University of Dundee Research Interests: Concrete sustainability, recycled materials, durability assessment methods, marine energy systems, and infrastructure benchmarking. His work aligns with UN SDGs on climate action and affordable clean energy. Awards: Magazine of Concrete Research Paper of the Year (2012) Scottish Knowledge Exchange Award (2018) Enterprise & Grants: Leads KTP projects on construction innovation and offshore wind infrastructure. Oversees industry partnerships through the School’s Enterprise & Economic Transformation strategy. Labs & Networks: Conducts research in the Concrete Technology Unit, collaborates with European standards committees (CEN TC51), and chairs international conferences. Active in Horizon Europe-funded low-carbon initiatives.

Noela Müllerمشاهده پروفایل

استادیار

• Probability Theory
• Random Matrices
• Sparse Matrices
• +۵ مورد دیگر

Noela Müller is an Assistant Professor in the Mathematics and Computer Science school at Eindhoven University of Technology . Her research focuses on Probability Theory , Random Matrices , and Random Graphs , with significant contributions to understanding the rank of sparse matrices and clique factors in probabilistic settings. Research Outputs : Published 22 works including journal articles and preprints. Collaborations : Active in international networks, particularly in sparse matrix analysis and probabilistic combinatorics. Her recent work explores sparse pooled data algorithms , random 2-SAT models , and sharp thresholds in random graphs , showcasing interdisciplinary applications in computer science, mathematics, and theoretical physics.

Ruben Martinsمشاهده پروفایل

استادیار

• Constraint Programming
• Program Synthesis
• Formal Verification
• +۳ مورد دیگر

Ruben Martins is an Assistant Professor at Carnegie Mellon University's School of Computer Science and serves as the program director of the Master of Science in Computer Science (MSCS) . His research focuses on the intersection of constraint programming, program synthesis, analysis, and verification, with recent work aiming to make formal methods tools more accessible through automated reasoning. Ruben earned his Ph.D. with honors from the Technical University of Lisbon, Portugal (2013) , followed by postdoctoral research at the University of Oxford (2014-2015) and UT Austin (2015-2017) . Research Interests : Ruben's work bridges constraint programming and program synthesis , with applications in software verification , optimization , and automated reasoning . He has developed award-winning tools like Open-WBO , a modular MaxSAT solver that has won gold medals in international competitions. His publications span top-tier venues such as POPL , PLDI , FSE , SAT , and CP , often addressing real-world challenges from program analysis to network security. Scientific Awards include: Distinguished Paper Award at PLDI 2018 Distinguished Paper Award at FSE 2021 Distinguished Paper Award at SAT 2022 Gold medals for Open-WBO in MaxSAT competitions Teaching & Advising : Ruben mentors Ph.D., Master’s, and undergraduate students in research projects related to program synthesis, formal methods, and constraint solving. He teaches courses such as Bug Catching: Automated Program Verification and Advanced Topics in Logic: Automated Reasoning and Satisfiability , emphasizing hands-on experience with tools like Why3. His advising spans topics from AI-driven program repair to network protocol verification , fostering collaboration across disciplines.

Jane Ginsborgمشاهده پروفایل

استاد

• Music Psychology
• Musicians' Health and Wellbeing
• Cognitive Processes in Music Performance
• +۳ مورد دیگر

Professor Jane Ginsborg is the Associate Director of Research and Programme Leader for Research Degrees at the Royal Northern College of Music (RNCM). She holds a dual background in music and psychology, with a PhD from Keele University. Her research focuses on music performance psychology, musicians' health, and aging in musical professions. She leads the Centre for Music Performance Research and serves as Editor-in-Chief of Musicae Scientiae . Educated at the University of York (Music), Guildhall School of Music and Drama, and the Open University (Psychology), she has held roles at the University of Manchester, Leeds Metropolitan University, and Sheffield University. Her AHRC-funded projects include initiatives on hearing-impaired musicians and healthy practice for musicians, recognized nationally and internationally. Her research areas include cognitive processes in performance, memorization strategies, and musicians' health literacy. She has supervised over 10 PhD students, focusing on topics like health education in music training and gender dynamics in brass playing. Awards include the Van Lawrence Award (2002) and recognition for her work on musicians' health projects. Teaching responsibilities include courses on music psychology, health in performance, and research methodologies. She regularly delivers keynotes globally and reviews for top journals. Current projects explore aging musicians' transitions and health literacy assessment tools for performers.

Ozgur Yilmazمشاهده پروفایل

استاد

• Applied and Computational Harmonic Analysis
• Signal Processing
• Compressed Sensing
• +۵ مورد دیگر

Ozgur Yilmaz is a Professor in the Department of Mathematics at the University of British Columbia (UBC). He is the Director of the Pacific Institute for the Mathematical Sciences (PIMS) and has held roles such as Interim Deputy Director at PIMS and Deputy Director at the Banff International Research Station (BIRS). His research focuses on applied harmonic analysis, signal processing, compressed sensing, and seismic signal processing. Education: PhD in Applied and Computational Mathematics from Princeton University (2001), B.Sc. in Mathematics and Electrical Engineering from Boğaziçi University (1997). Research Interests: Mathematical problems in analog-to-digital conversion, blind source separation, sparse approximations, compressed sensing, and their applications in seismic exploration. He has contributed to advancements in sigma-delta quantization, low-rank matrix recovery, and compressed sensing algorithms. Funding: Recipient of NSERC Discovery Grants, UBC Data Science Institute grants, and leadership in collaborative research groups (CRGs) on high-dimensional data analysis and applied harmonic analysis. His work bridges theoretical mathematics with practical applications in signal processing and AI-driven medical imaging. Students and Postdocs: Supervised numerous PhD and MSc students in areas like compressed sensing, seismic data reconstruction, and machine learning. Current advisees include Aaron Berk and Xiaowei Li. Former students hold positions at academic institutions and tech companies. Labs and Collaborations: Affiliated with UBC’s Data Science Institute (DSI), Centre for Artificial Intelligence Decision-making and Action (CAIDA), and the Institute of Applied Mathematics (IAM). Collaborates on projects integrating AI with scientific discovery, such as retinal biomarker identification using deep learning.

Stephen Terryمشاهده پروفایل

دانشیار

• Macroeconomics
• Firm Investment
• Economic Growth
• +۴ مورد دیگر

Stephen Terry is an Associate Professor of Economics at the University of Michigan's College of Literature, Science, and the Arts. He is also a Research Associate at the National Bureau of Economic Research (NBER) and serves as Co-Editor of the Review of Economics and Statistics. His research focuses on macroeconomics, particularly firm investment and the impact of micro-level frictions on long-term growth and business cycles. Dr. Terry received his PhD in Economics from Stanford University in 2015. Prior to joining the University of Michigan, he served as an Assistant Professor at Boston University. Professor Terry's research spans several key areas in macroeconomics, with a particular emphasis on understanding how micro-level frictions affect macroeconomic outcomes. His work investigates firm investment behavior, economic growth dynamics, and business cycle fluctuations. He employs both theoretical models and empirical analysis to examine how factors like uncertainty, immigration, innovation, and financial constraints shape economic performance at the aggregate level. His research often bridges micro and macroeconomic perspectives to provide deeper insights into economic mechanisms, with special attention to how short-term phenomena can have long-term consequences for economic growth. Analysis of Professor Terry's recent publications reveals a consistent focus on macroeconomic dynamics, particularly the relationship between micro-level frictions and macroeconomic outcomes. His work spans topics including economic uncertainty, firm dynamics, innovation, immigration effects, and business cycle analysis. A notable trend is his examination of how short-term phenomena can have long-term economic consequences, as seen in his research on short-termism and its macroeconomic impact. His collaborative work with leading economists across various institutions demonstrates the interdisciplinary nature of his research. Professor Terry has earned significant recognition in his field: Research Associate, National Bureau of Economic Research (NBER) Co-Editor, Review of Economics and Statistics As an academic advisor, Professor Terry has mentored numerous PhD and Master's students in economics. His research has been supported by various grants that have enabled extensive empirical analysis and theoretical modeling. His work on economic uncertainty, firm dynamics, and growth mechanisms has contributed significantly to our understanding of macroeconomic phenomena. Professor Terry actively collaborates with researchers across institutions, fostering interdisciplinary approaches to economic questions, and frequently participates in academic discussions at major conferences including the NBER Summer Institute. Professor Terry is affiliated with several research groups at the University of Michigan, including the Research Seminar in Quantitative Economics (RSQE). His work connects with various subfields within economics, particularly Macroeconomics, and contributes to ongoing research in economic growth, business cycles, and firm dynamics. His position as Co-Editor of the Review of Economics and Statistics places him at the forefront of scholarly communication in economics.

David C Mohrمشاهده پروفایل

استاد

• Digital Mental Health
• Behavioral Intervention Technologies
• User-Centered Design
• +۳ مورد دیگر

Dr. David C Mohr is a Professor at Northwestern University Feinberg School of Medicine, holding joint appointments in Preventive Medicine, Medical Social Sciences, and Psychiatry. He serves as Director of the Center for Behavioral Intervention Technologies (CBITs) and Chief of Behavioral Medicine in the Department of Preventive Medicine. With a PhD in Clinical Psychology from the University of Arizona (1991), he transitioned from UCSF to Northwestern in 2006. His research focuses on designing digital mental health interventions leveraging user-centered design and smartphone sensor data. Notable contributions include developing smartphone apps for depression/anxiety management and pioneering implementation strategies for scalable digital mental health solutions. He has led over 400 publications, with recent work emphasizing AI ethics, wearable sensing, and healthcare workforce burnout. Education: BA: University of California, Berkeley (1980) MA/PhD: University of Arizona (1988/1991) Affiliations: Center for Behavioral Intervention Technologies (CBITs) Institute for Augmented Intelligence in Medicine Robert H. Lurie Comprehensive Cancer Center Dr. Mohr’s honors include APA and Society for Behavioral Medicine Fellowships. He advises global initiatives like ImplMentAll (EU-funded) and chairs the Society for Digital Mental Health. His work bridges clinical innovation with real-world implementation, emphasizing equity and sustainability in digital health solutions.

Dajana Vuckovicمشاهده پروفایل

استاد

• analytical chemistry
• metabolomics
• lipidomics
• +۷ مورد دیگر

Dajana Vuckovic, PhD, is a full Professor and Concordia University Research Chair in the Department of Chemistry and Biochemistry at Concordia University's School of Health. She directs the Centre for Biological Applications of Mass Spectrometry (CBAMS) and leads an active research group. Her education includes a PhD from the University of Waterloo and an NSERC Postdoctoral Fellowship at the University of Toronto. Dr. Vuckovic's research focuses on cutting-edge analytical chemistry methodologies with emphasis on: Advanced mass spectrometry techniques for metabolomics and lipidomics Innovative sample preparation approaches for complex biological matrices Biomarker discovery and validation for cardiovascular health and inflammation Development of standardized protocols for untargeted analysis Applications in nutrition and neurological research Her extensive publication record demonstrates a consistent focus on analytical method development, particularly in LC-MS based metabolomics and lipidomics. Recent works emphasize QA/QC standardization, tissue analysis advancements, and novel applications in neuroscience and cardiovascular research. Awards & Honors: PetroCanada Young Innovator Award As Director of CBAMS, she oversees interdisciplinary research in biological mass spectrometry. She actively contributes to professional organizations including the Metabolomics Association of North America (Board Member), Metabolomics Innovation Centre, and Metabolomics Quality Assurance and Quality Control Consortium (mQACC).

Anne Meneleyمشاهده پروفایل

استاد

• Sociocultural Anthropology
• Middle East
• Food Studies
• +۹ مورد دیگر

Anne Meneley is a Professor in the Department of Anthropology at Trent University, Canada. She holds a PhD in Anthropology from New York University (1993) and an MA from the same institution. Her work focuses on sociocultural anthropology in the Middle East (Yemen, Palestine), with specializations in food studies, consumerism, walking, self-quantification, and human-nonhuman interactions in plant materialities. Education: BA, McGill University MA & PhD, Department of Anthropology, New York University Anthropologically, Meneley examines how olive oil circulates as both a material and symbolic good across Italy, Palestine, and the broader Mediterranean. Her research bridges ethnographic methods with analyses of international commodity flows, gender dynamics in the Arabian Peninsula, and the politics of academic collaboration. She has published extensively in journals like American Anthropologist , Current Anthropology , and Cultural Anthropology , with a focus on how quotidian practices like food consumption and walking reflect larger socio-political structures. Scientific awards include multiple SSHRC grants (2003-2026), Ford Foundation funding (2002-2003), and Trent University Merit Awards (2005, 2009, 2020). She has also served on editorial boards for Ethnos and American Anthropologist , and as a reviewer for SSHRC and international journals. Her advising spans postdoctoral fellows (FRQSC funded), PhD committees at Trent and the University of Toronto, and MA supervision. She has organized panels on topics like 'Circulation Interrupted' (2010 AAA) and 'Cosmopolitan Circulations of Emotions' (2007 AES), and conducted field research in Palestine (2006-2019), Yemen (1989-90, 1999), Italy (2000-2008), New York (2007, 2009, 2012, 2019, 2022), California (2007), and Toronto (2000-22).

José Soares Nevesمشاهده پروفایل

دانشیار

• Cultural Sociology
• Sociology of Culture
• Cultural Policies
• +۱۲ مورد دیگر

José Soares Neves is an Associate Professor in the Department of History at ISCTE – University Institute of Lisbon and a key figure at CIES-Iscte, where he serves as Deputy Director and Co-coordinator of the Communication and Culture Research Group. He is also the Director of the Portuguese Observatory on Cultural Activities (OPAC), a role he has held since its founding in 2018. His academic affiliations span teaching and research in cultural sociology, public cultural policies, and museum studies. PhD in Sociology of Communication, Culture, and Education (ISCTE, 2012) Master’s in Communication, Culture, and Information Technologies (ISCTE, 1999) Bachelor’s in Sociology (FCSH-UNL, 1993) His research centers on cultural policies, audience studies, museum accessibility, reading practices, and cultural statistics. He has led major national studies on cultural participation and heritage access. His work bridges academic research and public policy, particularly through OPAC and CIES-Iscte. His recent publications (2020–2025) reflect a strong focus on post-pandemic cultural recovery, digital transformation in museums, reading behavior among youth, and the statistical monitoring of cultural activities. These works demonstrate consistent engagement with public cultural institutions and policy evaluation. He has received no explicitly listed scientific awards in the provided text, but his leadership in national observatories and research groups indicates significant professional recognition. José Soares Neves advises a large number of graduate students—over 10 at the doctoral level and more than 100 at the Master’s level—on topics including cultural management, audience engagement, digital culture, and heritage policy. He has also been involved in research projects related to cultural funding, media, and the book industry. He leads research initiatives within CIES-Iscte’s Communication and Culture group and directs OPAC, positioning him at the intersection of academic research and national cultural policy development. His work supports evidence-based policymaking in the Portuguese cultural sector.

Naoki Saitoمشاهده پروفایل

استاد

• Applied and Computational Harmonic Analysis
• Graph Signal Processing
• Multiscale Transforms
• +۶ مورد دیگر

Naoki Saito is a Professor in the Department of Mathematics at the University of California, Davis, and the Director of the UC Davis TETRAPODS Institute of Data Science (UCD4IDS). His research lies at the intersection of applied mathematics, signal processing, and data science, with a focus on multiscale analysis and harmonic analysis on graphs and networks. His research interests include Applied and Computational Harmonic Analysis , Graph Signal Processing , Multiscale Transforms , Wavelets , Spectral Graph Theory , and Mathematical Data Representation . He develops theoretical frameworks and practical algorithms for analyzing complex datasets, particularly through the use of Laplacian eigenfunctions and multiscale basis dictionaries. The recent publications reflect a strong trend toward graph-based signal processing , scattering transforms , and topological data analysis . His work emphasizes the construction of natural, adaptive bases for signals on graphs and simplicial complexes, enabling efficient and interpretable data analysis. The integration of harmonic analysis with machine learning techniques is a recurring theme. Although no specific scientific awards are listed in the provided texts, his sustained scholarly output and leadership in the field are evident. Dr. Saito advises a number of students and postdoctoral researchers, including J. Irion, Y. Shao, H. Li, and others. His research has been supported by various grants, though specific funding sources are not detailed in the provided materials. He leads the UCD4IDS, a research institute focused on data science, indicating active involvement in collaborative, interdisciplinary research and academic leadership.

• Computer Science
• Electrical Engineering
• Machine Learning
• +۷ مورد دیگر

Andrew Ho is an active academic researcher with publications spanning computer science, electrical engineering, and interdisciplinary applications. His recent work focuses on hybridizable discontinuous Galerkin methods for plasma simulations (2024) and AI/LLM applications in scholarly knowledge organization. 2025: Project Alexandria (LLM for copyright-free knowledge) 2024: Hybridizable DG plasma methods, GPU-accelerated kinetic simulations 2023: Low-resource translation techniques 2022: Multimodal VR interfaces 2003-2006: High-speed serial link transceivers and radiography artifact detection His research interests include: Computer science applications in plasma physics and medical imaging LLM-based scholarly knowledge graphs and literature reviews High-speed communication systems Educational technology implementations Co-authors include Vladimir Stojanovic (Stanford, 2003-2005), Carl W. Werner (2003-2005), and Genia Vogman (GPU plasma simulations, 2024).

Andrew Halesمشاهده پروفایل

استادیار

• Social Ostracism
• Social Influence
• Persuasion
• +۳ مورد دیگر

Andrew Hales is an Assistant Professor in the Department of Psychology within the College of Liberal Arts at the University of Mississippi. His research focuses on social ostracism and social influence, examining the psychological consequences of exclusion and recovery mechanisms through experimental methods. Dr. Hales earned his Ph.D. in Psychology from Purdue University Main Campus in 2017. His primary research explores why exclusion causes distress, individual differences in ostracism vulnerability, and strategies for emotional recovery. He also investigates broader social influence processes including persuasion, self-presentation, and compliance techniques, while advocating for research replicability and transparency in psychological science. His recent publications (2023-2025) consistently examine ostracism across diverse contexts including workplace ghosting, digital phubbing, group dynamics, and extremism. A dominant theme connects ostracism to extreme group affiliation, highlighting how threatened fundamental needs (belonging, self-esteem, control, meaningful existence) drive individuals toward radical ideologies. His work integrates systematic reviews with experimental validation to advance theoretical frameworks. Dr. Hales actively mentors students as evidenced by his current review of applications for the Experimental Ph.D. Program. He directs the Social Connections and Influence Lab, which employs controlled experiments to study both target and perpetrator perspectives in exclusion scenarios, utilizing measures of affective response, behavioral intentions, and physiological reactivity.

Petr Vozkaمشاهده پروفایل

استادیار

• Complex Chemical Mixtures Analysis
• Two-Dimensional Gas Chromatography
• Microplastics Analysis
• +۷ مورد دیگر

Dr. Petr Vozka is an Assistant Professor in the Department of Chemistry and Biochemistry at California State University, Los Angeles, where he leads the Complex Chemical Composition Analysis Lab (C³AL). His research focuses on the characterization of complex chemical mixtures using state-of-the-art techniques, including two-dimensional gas chromatography and high-resolution mass spectrometry, with applications in environmental science, plastic waste conversion, and forensic analysis. Dr. Vozka's research interests span multiple critical areas including the analysis of complex chemical mixtures, microplastics in the environment, conversion of plastic waste into alternative fuels, environmental impact of oil spills, and forensic fingerprint analysis. His work on microplastics has gained significant attention, with media coverage highlighting his findings that microplastics can penetrate blood vessels and have been found in the brain. His research on the Huntington Beach oil spill investigated the long-term effects of oil contamination on beaches used for recreation. Dr. Vozka has organized significant academic events including the Multidimensional GC: From Petroleum to Beyond symposium at ACS Fall 2025 and serves on the organizing committee for the Multidimensional Chromatography Workshop (MDCW). His laboratory, C³AL, is equipped with advanced instrumentation including GC-TOFMS, GC×GC-FID, and GC×GC-TOFMS systems, supported by partnerships with LECO Corporation and Anton Paar. Recipient of LECO Corporation's Pegasus® BT GC-MS instrument through a competitive selection process Principal Investigator for research funded by Naval Air Warfare Center Aircraft Division Collaborator with researchers from Purdue University, UCT Prague, Delft University of Technology, and California State Polytechnic University Dr. Vozka actively mentors undergraduate and graduate students, with numerous students receiving research awards including CSU COAST Undergraduate Student Research Grants, NSF REU placements, and Dean's List honors. His students regularly present research at national conferences including ACS meetings and the Multidimensional Chromatography Workshop. The C³AL lab provides hands-on experience with cutting-edge analytical instrumentation, preparing students for careers in analytical chemistry and related fields. As part of the LECO-C³AL Facility partnership, Dr. Vozka's lab serves as a training ground for students in comprehensive two-dimensional gas chromatography and mass spectrometry techniques. The facility aims to enhance knowledge and expand opportunities for students while equipping them with skills necessary to excel in graduate programs and analytical positions in industry and the military.

• Probabilistic Machine Learning
• Physics-Informed Machine Learning
• Industrial Applications of Data Science
• +۴ مورد دیگر

Markus Lange-Hegermann serves as Professor of Mathematics and Data Science at Ostwestfalen-Lippe University of Applied Sciences (TH OWL) since 2018 and holds a board position at the Institute for Industrial Information Technology (inIT). His career bridges academic research and industrial applications, with expertise in translating machine learning theory into practical engineering solutions for automation and manufacturing sectors. His educational foundation includes a Diplom (Master equivalent) in Computer Mathematics from RWTH Aachen University (2004-2008) followed by a Dr. rer. nat. (PhD equivalent) in algorithmic differential algebra (2008-2014). Prior to academia, he gained industry experience at FEV GmbH as an R&D engineer (2014-2017) and P3 automotive GmbH as a Data Science Consultant (2017-2018). Lange-Hegermann's research centers on probabilistic machine learning with distinctive emphasis on physics-informed approaches. He develops Gaussian process methodologies that incorporate differential equations to model time dependencies, uncertainties, and physical constraints in industrial systems. His work enables robust data-based modeling and optimization for cyber-physical systems, with applications spanning predictive maintenance, process control, and quality assurance in manufacturing. Analysis of his 15 most recent publications (2024-2025) reveals consistent innovation in physics-integrated machine learning, particularly using Gaussian processes to solve partial differential equations and optimal control problems. The research demonstrates strong industrial applicability across domains including medical imaging, material science, automotive engineering, and brewing processes, with recurring themes of anomaly detection in time-series data and uncertainty-aware decision making. His scientific contributions have earned significant recognition: Forschungspreis TH OWL (2024) Top reviewer award at NeurIPS (2023) Outstanding reviewer award at NeurIPS (2021) Best poster award at Bosch AI CON (2019) Borchers Plakette for outstanding dissertation (2014) Springorum Denkmünze for outstanding diploma (2009) As chairman of the Data Science study program and vice chairman of undergraduate examination boards, Lange-Hegermann actively shapes academic curricula while supervising graduate theses. His governance roles include serving on professorship search committees at multiple institutions and contributing to examination regulations. He maintains active research funding through collaborations with industrial partners and reviews proposals for initiatives like It's OWL and 3IA Côte d’Azur. Lange-Hegermann leads the Mathematics and Data Sciences research group within inIT, fostering collaboration between theoretical machine learning and industrial automation. He co-founded AICOmmunityOWL and the Informatics Europe working group on Data Analysis and Reporting, while organizing machine learning reading groups and data science hackathons to bridge academic research with industrial problem-solving.