جست‌وجوی استاد و پژوهشگر

Andrew Longstaffمشاهده پروفایل

استاد

• Machine Tool Metrology
• Manufacturing Systems
• Industrial Sensors
• +۴ مورد دیگر

Andrew Longstaff is a Professor of Machine Tool Metrology at the University of Huddersfield, affiliated with the Department of Engineering and School of Computing and Engineering. He serves as Research Director at the Centre for Precision Technologies and is an Associate Member of the Behavioural Research Centre. His research focuses on improving machine tool performance through advanced metrology, thermal error modeling, sensor technology, and precision manufacturing processes. He holds a PhD from the University of Huddersfield and has led multiple high-value European and UK research projects, including Innovate UK initiatives and Knowledge Transfer Partnerships. Longstaff’s expertise includes machine tool calibration, vibration analysis, and the application of artificial intelligence for data processing in manufacturing. He is deeply involved in industry collaboration, working with machine tool manufacturers and end-users to address technical challenges. His work aligns with UN Sustainable Development Goals related to industrial innovation and infrastructure (SDG 9). He is a Fellow of the Higher Education Academy and a member of professional bodies such as the IET and CMI. His recent research trends emphasize thermal error compensation, ultrasonic core temperature measurement, and advanced sensor integration. Over 124 publications highlight contributions to precision engineering, with a focus on metrology, manufacturing systems, and sensor development. Awards include the EPSRC High Value Manufacturing Catapult Fellowship (2014). He supervises PhD students and teaches the MSc in Engineering Control Systems and Instrumentation, embedding his research into education.

James Frankمشاهده پروفایل

استاد

• Police Behavior
• Officer Decision Making
• Citizen Attitudes Toward Police
• +۶ مورد دیگر

James Frank is a Professor in the School of Criminal Justice at the University of Cincinnati. He holds a Ph.D. from Michigan State University (1993), a J.D. from Ohio Northern University (1977), and earlier degrees from the University of Cincinnati. His research focuses on police behavior, officer decision-making, citizen attitudes toward policing, sentencing disparities, and wrongful conviction. Frank has led numerous federally and state-funded projects examining technology in policing, officer recruitment, and community strategies. Education: Ph.D., Criminal Justice and Criminology (Michigan State University, 1993) J.D. (Ohio Northern University College of Law, 1977) M.S., Criminal Justice (University of Cincinnati, 1983) B.A., American History (University of Cincinnati, 1974) Research Interests: Dr. Frank’s work addresses systemic challenges in policing, including racial disparities in traffic stops, the impact of non-emergency call systems, and the implementation of problem-solving strategies. His studies also explore juror understanding of death penalty instructions and collateral consequences of convictions. He has published widely in journals like Justice Quarterly , Police Quarterly , and Criminology and Public Policy . Grants & Awards: Frank has secured over $3 million in grants from agencies like the National Institute of Justice and U.S. Department of Justice. Notable honors include the 2011 Michigan State University Alumni Wall of Fame and the 1997 University of Cincinnati Faculty Achievement Award. Service & Leadership: He served as President of the Academy of Criminal Justice Sciences (2013) and held editorial roles at Police Quarterly and Policing: An International Journal . His service spans university committees, professional organizations, and criminal justice policy advisory roles.

John Loganمشاهده پروفایل

دانشیار

• Psychology
• Speech Perception
• Cognitive Science
• +۳ مورد دیگر

John Logan is an Associate Professor in the Department of Psychology at Carleton University, affiliated with the Faculty of Arts and Social Sciences. He holds a Ph.D. from Indiana University. His research focuses on spoken language perception, non-native speech perception, and word recognition in children. His work bridges cognitive psychology, forensic psychology, and linguistics, examining how personality traits like psychopathy influence speech perception and emotional processing. Dr. Logan's research explores the interplay between personality variables and speech perception mechanisms, particularly in contexts involving psychopathic traits, trauma, and non-native language acquisition. His recent studies investigate how psychopathy affects emotional recognition in spoken language and domestic abuse dynamics, while also analyzing disfluency patterns and vowel acoustics in speech production. His research has contributed to understanding deficits in prosodic perception among individuals with psychopathic characteristics and developing interventions to improve emotion recognition. He also studies cognitive constraints in acquiring non-native phonemes and employs neuroimaging techniques to explore decision-making processes in gambling scenarios. Though no specific awards or grants are listed, his extensive publication record reflects sustained contributions to speech perception, forensic psychology, and developmental cognitive science. Dr. Logan's work integrates experimental methods with computational analysis, addressing both theoretical and applied questions in language processing and mental health.

André Brinkmannمشاهده پروفایل

استاد

• Data Center Management
• Cloud Computing
• Storage Systems
• +۵ مورد دیگر

André Brinkmann is a full professor at the Department of Computer Science, Johannes Gutenberg University Mainz, leading the Efficient Computing and Storage Group. He previously served as head of the university's data center (2011–2021) and was an assistant professor at Paderborn University (2008–2011). He holds a Ph.D. in Electrical Engineering from Paderborn University (2004) and managed the Paderborn Centre for Parallel Computing (PC²). His research focuses on algorithm engineering for data center management, cloud computing, storage systems, and high-performance computing (HPC). Notable projects include: Development of ad hoc file systems like GekkoFS and IO-SEA for exascale architectures Optimization of storage systems (e.g., hybrid RAID, SSD garbage collection) Quantum computing compiler research for trapped-ion architectures Leadership in initiatives like the I/O Trace Initiative and BINARY (Big Data in Atmospheric Physics) He serves as Senior Associate Editor of ACM Transactions on Storage and co-chairs major conferences like FAST 2026 and ARCS 2026.

Erin Heinzenمشاهده پروفایل

دانشیار

• Epilepsy Genetics
• Neurodevelopmental Disorders
• Genomics
• +۳ مورد دیگر

Erin Heinzen is an Associate Professor at the UNC Eshelman School of Pharmacy, Division of Pharmacotherapy and Experimental Therapeutics, with a joint appointment in the UNC Department of Genetics. She holds a Pharm.D. and Ph.D. from the University of North Carolina at Chapel Hill, followed by postdoctoral training at Duke University. Her research focuses on the genetic and genomic basis of epilepsy disorders, particularly somatic mutations and transcriptomic regulation in neurological diseases. Education: Pharm.D., University of North Carolina at Chapel Hill (2001) Ph.D., Pharmaceutical Sciences, University of North Carolina Chapel Hill (2004) Research Interests: Dr. Heinzen’s lab investigates somatic mutations in epilepsy and brain malformations, using induced pluripotent stem cells and advanced sequencing technologies. Key projects include studying SLC35A2 variants in intractable epilepsy and analyzing transcriptomic changes in brain tissue. Her work has identified 15 epilepsy genes, including the gene for Alternating Hemiplegia of Childhood. Grants & Awards: NIH-funded research, including $7M in collaborative grants to study genetic variants in epilepsy. Active in consortia like Epi4K and ILAE. Labs & Teams: The Heinzen Lab collaborates with neurology, neuropathology, and neurosurgery groups globally, advancing neurogenetics and treatment approaches for intractable seizures.

Federico Reghenzaniمشاهده پروفایل

استادیار

• Computer Science
• Embedded Systems
• Fault Tolerance
• +۳ مورد دیگر

Federico Reghenzani is an Assistant Professor at Politecnico di Milano in the Department of Electronics, Information and Bioengineering. His research focuses on computer science, embedded systems, fault tolerance, high-performance computing, real-time systems, and compiler technology. He leads the HEAP Lab where his team investigates reliability engineering and hardware-software co-design for safety-critical applications. Reghenzani's research examines software-based approaches to hardware fault tolerance, compiler technologies for reliability enhancement, and resource management in high-performance computing environments. His work has significant applications in aerospace systems, real-time embedded platforms, and next-generation computing architectures. His publications demonstrate a consistent focus on improving system reliability through compiler techniques, fault injection methodologies, and hardware-software co-design. The research spans theoretical frameworks, practical implementations, and experimental validation across diverse computing environments.

Julia Adler-Milsteinمشاهده پروفایل

استاد

• Health IT Policy
• Electronic Health Records (EHR)
• Healthcare Interoperability
• +۶ مورد دیگر

Dr. Julia Adler-Milstein is a Professor of Medicine and Chief of the Division of Clinical Informatics & Digital Transformation at the University of California, San Francisco (UCSF). She holds a PhD in Health Policy from Harvard University and previously served on the faculty at the University of Michigan for six years. Her research focuses on health IT policy, electronic health records (EHRs), interoperability, and EHR audit log analysis to improve clinician workflows and patient care. Education: PhD in Health Policy, Harvard University (2011) AB in Human Biology, Stanford University (2001) 2021 Diversity, Equity, and Inclusion Champion Training, UCSF Research Interests: Policy strategies for EHR adoption and interoperability Health information exchange (HIE) outcomes and equity Impact of EHR documentation burden on clinical practice AI and predictive models in healthcare Age-friendly health systems (4Ms framework) Awards & Recognition: Member, National Academy of Medicine (2019) Don Eugene Detmer Award in Health Informatics (2018) Top 10 Influential Women in Health IT (2014) Advising & Leadership: Inaugural Director, Center for Clinical Informatics and Improvement Research (2017–2023) Chair, Interoperability Committee of the National Quality Forum Testified before the US Senate Health, Education, Labor, and Pensions Committee Labs & Teams: Leads the UCSF Division of Clinical Informatics & Digital Transformation, focusing on translating health IT research into actionable policies and clinical practices.

Dale Griffinمشاهده پروفایل

استاد

• Behavioral Decision Theory
• Forecasting
• Consumer Judgment
• +۲ مورد دیگر

Dale Griffin holds the Advisory Council Chair in Consumer Behaviour at UBC Sauder School of Business. His research examines psychological aspects of judgment and decision-making, with applications in consumer behavior, managerial forecasting, and behavioral finance. Dr. Griffin teaches courses in behavioral research methods and decision analysis. Key research areas: Cognitive processes in prediction and forecasting Cross-cultural determinants of corporate risk-taking Psychological mechanisms in financial decision-making Temporal aspects of planning and task completion Recent publications explore social safety systems, cultural influences on governance, and behavioral responses to uncertainty. Research consistently addresses practical applications of decision science in business contexts.

• Remote Sensing
• Forest Carbon Monitoring
• LiDAR Applications
• +۲ مورد دیگر

Hao Tang is an Assistant Professor in Geography at the National University of Singapore, specializing in satellite remote sensing for ecosystem monitoring. His research develops methodologies to map 3D vegetation structure and carbon dynamics using LiDAR and multispectral data, addressing climate change impacts on terrestrial ecosystems. Research Focus: Dr. Tang's work integrates NASA's GEDI and ICESat-2 LiDAR missions with machine learning to quantify aboveground biomass across tropical forests. Recent innovations include multi-sensor frameworks for wildfire risk assessment in Europe and radiative transfer models simulating forest heterogeneity. Publications from 2024-2025 demonstrate advances in biomass calibration techniques, LiDAR waveform simulation, and forest regrowth modeling under climate change. His research supports UN Sustainable Development Goals through high-resolution carbon stock inventories. Dr. Tang teaches courses on remote sensing applications and GIS, emphasizing computational approaches for environmental challenges. Current projects focus on uncertainty reduction in deforestation emission baselines and peatland carbon storage capacity assessment.

Paul Gustafsonمشاهده پروفایل

استاد

• Biostatistics
• Epidemiology
• Bayesian Analysis
• +۳ مورد دیگر

Paul Gustafson is a Professor and Head of the Department of Statistics at the University of British Columbia's Faculty of Science. He holds a faculty position at the Vancouver Campus and can be contacted via gustaf@stat.ubc.ca. His research focuses on advanced statistical methodologies with applications in epidemiology, public health, and clinical research. Key interests include Bayesian analysis, causal inference, measurement error correction, and meta-analysis. Dr. Gustafson's work emphasizes methodological innovations in handling complex data challenges such as exposure misclassification, missing data, and observational study biases. He collaborates on projects addressing opioid use disorder treatment efficacy, infectious disease epidemiology, and health policy. Current advisees include Nathaniel Wu Dyrkton, Daniel Daly Grafstein, Seren Lee, Yuan Xia, and Mallory J Flynn. His research outputs span statistical theory, applied public health studies, and computational methods. Recent work highlights include Bayesian approaches to sample size determination, probabilistic bias analysis in diagnostic studies, and frameworks for evaluating treatment benefit predictors using observational data. Dr. Gustafson is also involved in global initiatives such as the Zika Virus Individual Participant Data Consortium. Notable methodological contributions include developing techniques for partially identified models, correcting measurement errors in health surveys, and advancing causal inference methodologies. He has contributed to R packages like rtestim for epidemic modeling and CRTpowerdist for cluster randomized trial analysis.

H. Cynthia Chiangمشاهده پروفایل

دانشیار

• Observational Cosmology
• Radio Astronomy
• Cosmic Microwave Background
• +۳ مورد دیگر

H. Cynthia Chiang is an Associate Professor of Physics at McGill University, where she has been since 2018. She leads cutting-edge observational cosmology research, focusing on 21-cm emission and cosmic microwave background studies using ground-breaking radio telescope arrays like ALBATROS, PRI Z M, MIST, and CHORD. Her work spans remote locations such as the Arctic, Antarctic, and sub-Antarctic Marion Island, leveraging extreme environments to minimize radio interference. Chiang maintains an honorary affiliation with the University of KwaZulu-Natal (South Africa), where she was a Senior Lecturer from 2013–2018. She holds a PhD from Caltech (2009) and a BS from the University of Illinois (2002), with postdoctoral experience at Princeton and a winterover scientist role at the South Pole Station. Her research emphasizes precision instrumentation development and data analysis across satellite, balloon, and ground-based platforms. Key projects like ALBATROS (1.2-125 MHz array in the Arctic) and PRI Z M (Marion Island 21-cm detection) aim to map the 'dark ages' and 'cosmic dawn' epochs. Chiang’s team also innovates with drone-based tools for beam mapping and soil characterization, enhancing observational accuracy. She is a National Geographic Explorer (2023) and has been featured in prominent media outlets including BBC, Quanta Magazine, and Nature. Chiang supervises a diverse array of students and postdocs, many advancing to prestigious academic and industry roles (e.g., SKA postdocs, JPL scholars). Her work bridges cosmology with engineering, glaciology, and environmental science, reflecting a commitment to interdisciplinary collaboration. Current efforts include expanding the HIRAX array in South Africa and advancing CHORD’s multi-purpose radio astronomy capabilities.

Philip B. Starkمشاهده پروفایل

استاد

• Uncertainty Quantification
• Election Auditing
• Earthquake Prediction
• +۷ مورد دیگر

Philip B. Stark is a Distinguished Professor of Statistics at the University of California, Berkeley, where he holds a faculty position in the Department of Statistics. His research focuses on uncertainty quantification, election integrity, earthquake prediction, and applications of statistics in physical and social sciences. He has developed auditing methods used in over 15 U.S. states, and his work on the U.S. Census adjustment and election security has influenced policy and legal proceedings. Stark’s research spans computational statistics, risk-limiting audits, and environmental science, with notable contributions to soil carbon sequestration and food equity. He co-created SticiGui, an online introductory statistics course that pioneered MOOCs at UC Berkeley, reaching over 50,000 students. His consulting expertise spans litigation, clinical trials, and election integrity, with roles on advisory boards like the Election Assistance Commission and OSET Institute. Key research themes include statistical methodology for complex systems, election auditing innovations, and interdisciplinary applications in law, geophysics, and nutrition. His work emphasizes rigorous statistical methods to address societal challenges, from ensuring voting integrity to advancing sustainable food systems.

Timothy Jonesمشاهده پروفایل

استاد

• Computer Architecture
• Parallel Computing
• Compilers
• +۴ مورد دیگر

Timothy Jones is a Professor of Computer Architecture and Compilation at the University of Cambridge Computer Laboratory, with a research focus on extracting parallelism (thread-level, data-level, memory-level) through compilers, binary translators, and microarchitectures to enhance performance, energy efficiency, and reliability. He is also a Fellow and 1956 College Lecturer at Gonville and Caius College, serving as joint Director of Studies for Computer Science. Teaching: Advanced Topics in Computer Architecture (MPhil ACS, Part III), Introduction to Computer Architecture (Part IB), Optimising Compilers (Part II) Research Themes: Computer Architecture, Security, Programming Languages, Parallel Computing Contact: Room SC03, Department of Computer Science and Technology, William Gates Building, Cambridge CB3 0FD His recent publications emphasize heterogeneous parallelism, fault tolerance, speculative execution, and security implications in compiler and microarchitecture design. Notable trends include integrating fine-grained security analysis into superscalar cores and optimizing GPU architectures for scalarization and memory bypassing. He is active on Twitter ( @TJonesCL ) and maintains an Erdős Number of 4.

Katie Plantمشاهده پروفایل

دانشیار

• Human Factors
• Ergonomics
• Transportation Safety
• +۴ مورد دیگر

Dr. Katie Plant is an Associate Professor at the University of Southampton, affiliated with the Centre for Defence and Security Research and the Transportation Research Group. Her research focuses on human factors in complex systems, including autonomous vehicles, transportation safety, and organizational adaptation. She leads projects such as REASON (resilient autonomous agents) and GEM (gender equitable micro-mobility guidelines). Current supervision includes PhD students in defense mobility and environmental engineering. Active collaborations involve the EPSRC/Mod Doctoral Training Centre and industry partners like the Chartered Institute of Logistics & Transport. Her work spans aviation safety, driver-cyclist interactions, and pandemic-era organizational resilience. She contributes to interdisciplinary initiatives like the STARS global road safety group. Research methods include simulation design (e.g., SUMO-Unreal Engine integration) and thematic analysis of human-system interactions. Notable contributions include advancing automation handover protocols, urban mobility equity frameworks, and human-centric design for emergency systems. Her projects address both technical and socio-organizational challenges in critical infrastructure systems.

David Luitzمشاهده پروفایل

استاد

• Quantum Many-Body Systems
• Condensed Matter Physics
• Theoretical Physics
• +۳ مورد دیگر

David Luitz is a Professor of Theoretical Physics at Bonn University, specializing in quantum many-body systems. His research focuses on fundamental aspects of quantum dynamics, including many-body localization, quantum information spreading, and non-equilibrium thermodynamics. He develops advanced numerical methods and software tools such as the DanceQ library to tackle complex many-body problems. His work bridges theoretical physics with computational techniques, addressing topics like entanglement entropy, out-of-time-order correlators, and phase transitions in interacting quantum systems. Key research areas include the interplay between disorder and thermalization, quantum chaos, and the application of quantum Monte Carlo methods to study correlated electron systems. His contributions have advanced understanding of eigenstate thermalization, dissipative dynamics, and topological phenomena in condensed matter systems. Dr. Luitz’s publications highlight innovations in numerical algorithms for many-body systems and experimental predictions for quantum phase transitions. His work often explores the boundaries between localized and thermalizing regimes, with applications to both theoretical and computational physics.