جست‌وجوی استاد و پژوهشگر

• Environmental Hazards
• Emergency Management
• Wildfire Evacuation Analysis
• +۵ مورد دیگر

Thomas Cova is a Professor at the University of Utah's School of Environment, Society & Sustainability , with a 27-year academic career spanning from 1999 to present. His expertise bridges human geography , disaster management , and geospatial technologies , focusing on wildfire evacuation systems, earthquake response, and environmental hazard mitigation. His educational background includes a BS in Computer and Information Science from University of Oregon (1986) PhD in Geography from University of California Santa Barbara (1999) Research highlights include pioneering work in wildfire evacuation modeling using GPS data, equifinality reduction in agent-based simulations , and social vulnerability analysis in environmental hazards. He has developed novel methodologies for warning trigger systems and spatial resilience metrics , with applications in earthquake early warning, flood modeling, and post-disaster recovery assessment. Recent publications demonstrate cross-disciplinary impact, including studies on racial disparities in air quality monitoring (2024), disaster resilience spatial analysis (2024), and machine learning applications for evacuation decision modeling (2023). His work combines geospatial information systems human behavior simulation emergency management frameworks public policy analysis Scientific awards include the 2016 Excellence in Mentoring Award 2015 National Science Foundation Mentoring Program Advisor Teaching activities span advanced geographic programming, disaster geography, and PhD thesis supervision since 2023. Current grants focus on household wildfire resilience (2023-2026) spatial data analysis (2021-2025) multiple NSF-funded hazards research initiatives

Jan Fabian Ehmkeمشاهده پروفایل

استاد

• Business Analytics
• Logistics
• Transportation
• +۵ مورد دیگر

Jan Fabian Ehmke is a Professor at the University of Vienna , Faculty of Business, Economics and Statistics, and Head of the Department of Business Decisions and Analytics. He actively supervises Master's theses in quantitative fields like business analytics, logistics, production, and transportation, requiring mathematical modeling and data analysis skills. Key Research Areas: Business Analytics, Logistics, Transportation, Supply Chain Management, Data Science, and Stochastic Optimization Current Projects: AI-based Energy-Efficient Train Planning, Proactive Route Planning for Pandemic Testing, Reliable Railway Scheduling Recent Publications focus on pandemic logistics, mobile parcel lockers, railway operations, and collaborative transportation systems. His work contributes to SDGs like Sustainable Cities and Responsible Consumption. 2025: 7 publications including pandemic waste supply chain optimization, equitable disease testing models 2024: 4 key papers on dynamic learning for itineraries, bike-sharing systems Awards: Transportation Science Meritorious Service Awards (2021, 2023), EJOR Best Review Paper (2021). He serves as President and Communications Chair in INFORMS Transportation Science Society.

• Neuroscience
• Neuroimaging
• Neurology
• +۳ مورد دیگر

Zhuo Wang is a Research Assistant Professor (Part-Time) in the Department of Psychiatry and the Behavioral Sciences at the University of Southern California. His research focuses on neurobiological mechanisms underlying pain, stress, and cognitive dysfunction, with a particular emphasis on neuroimaging techniques and animal models. Key areas of investigation include visceral pain pathways, stress-induced neural reorganization, and the impact of exercise on brain connectivity and behavior. Wang employs multidisciplinary approaches integrating pharmacological interventions, functional brain mapping, and behavioral assays in rodent models to explore these topics. His work frequently addresses sex differences in neural responses, synaptic plasticity, and the gut-brain axis. Recent studies highlight exercise’s role in ameliorating neurological deficits and improving cognitive flexibility in Parkinsonian models, as well as the interplay between cerebral circuits and bladder dysfunction in chronic pelvic pain syndromes. Awards and grants: None explicitly listed in the provided text. Advising and collaborations: No students or grants are detailed here, but his publications suggest active collaboration with neuroscientists, clinicians, and bioengineers in translational research.

Stephen A. Coombesمشاهده پروفایل

استاد

• Neuroimaging
• Brain Structure/Function Analysis
• Chronic Pain Physiology
• +۵ مورد دیگر

Stephen A. Coombes is a Professor in the Department of Applied Physiology & Kinesiology at the University of Florida. He co-founded the Laboratory for Rehabilitation Neuroscience in 2011 and focuses on brain structure/function relationships in neurodegenerative disorders and sensorimotor system dysfunction. His research employs advanced neuroimaging techniques like diffusion MRI and EEG to study pain physiology, motor systems, and Alzheimer’s biomarkers. Education: PhD (2006) and MS (2002) in Motor Control from the University of Florida, and BS in Psychology from Liverpool John Moores University (1998). Research Interests: Neuroimaging of chronic pain and neurodegenerative diseases Diffusion MRI analysis for brain microstructure Motor system physiology and rehabilitation neuroscience Alzheimer’s biomarkers and aging studies NIH-funded Projects: Leads studies on chronic pain and Alzheimer’s, collaborates on projects involving autism, stroke, and shoulder pain. Serves as Co-I on the 1FLORIDA Alzheimer’s Disease Research Center Biomarker Core. Advising & Grants: Mentor on NIH training awards (T32, T90/R90), co-mentor on a K23 grant. Active in translational research bridging neuroimaging and clinical applications. Laboratory: Directs the Laboratory for Rehabilitation Neuroscience, advancing imaging paradigms and interdisciplinary collaborations in neurorehabilitation.

Ruben Pieter Hoeksmaمشاهده پروفایل

استادیار

• Transportation
• Agent-Based Modeling
• Traffic Optimization
• +۳ مورد دیگر

Ruben Pieter Hoeksma is an Assistant Professor affiliated with the Digital Society Institute and the Mathematics of Operations Research department. His research focuses on algorithmic game theory, transportation optimization, agent-based modeling, and mathematical programming. He actively contributes to advancing methodologies in scheduling, stochastic algorithms, and combinatorial optimization. His work bridges theoretical computer science and practical applications, such as logistics optimization for parcel delivery systems (e.g., PostNL) and robust scheduling under uncertainty. Collaborations span international institutions, reflecting his global academic network. Hoeksma has published extensively in top journals and conferences, with recent contributions addressing congestion games, stochastic minimum spanning trees, and succinct predictions in paging algorithms. His research has been cited 225 times, achieving an h-index of 7.

Amin Karbasiمشاهده پروفایل

دانشیار

• Large-scale Optimization
• Statistical Learning Theory
• Computational Neuroscience
• +۳ مورد دیگر

Amin Karbasi is an Associate Professor of Electrical & Computer Engineering at Yale University , with an additional appointment in Computer Science. His research focuses on large-scale optimization, statistical learning theory, and computational neuroscience . He leads the Inference, Information, and Decision Systems Group . Education: PhD from École Polytechnique Fédérale de Lausanne (EPFL). Research Highlights : Explores intersections between machine learning, signal processing, and neuroscience. Develops scalable algorithms for high-dimensional data analysis. Known for work on brain connectomics and submodular optimization in medical imaging. Awards : Over 15+ honors including NSF CAREER Award (2019), Bell Labs Prize (2021), and multiple best paper awards in top conferences like ICASSP and AISTATS. Grants : Active funding from DARPA, ONR, NSF, and industry partnerships with Amazon/Google. Labs & Teams : Directs the Yale Inference, Information, and Decision Systems Group , focusing on AI-driven solutions for neuroscience and engineering challenges.

Riley Tuckerمشاهده پروفایل

پژوهشگر ارشد

• Urban Studies
• Criminology
• Data Science
• +۳ مورد دیگر

Riley Tucker is a Research Fellow at the Mansueto Institute for Urban Innovation and the Data Science Institute at the University of Chicago. His work integrates computational methods with geospatial data (e.g., Twitter, Yelp) to advance urban and criminological theories. He holds a PhD in Criminology and Justice Policy from Northeastern University (2022) and a BA in Sociology from Temple University (2016). His research focuses on urban social dynamics, crime patterns, and the application of digital data to sociological frameworks. Research Interests Tucker’s work bridges classical Chicago School sociology with modern computational methods. Key areas include measuring social disorganization via ambient populations, analyzing crime through geotagged social media, and understanding hyperlocal gang networks. His dissertation proposed novel methods for assessing urban environments using Twitter data, emphasizing the interplay between historical theories and digital-era data sources. Key Article Trends Recent publications highlight trends in geospatial crime analysis, environmental influences on aggression, and the role of commercial spaces in crime dynamics. His work often combines quantitative methods with theoretical frameworks to address urban challenges, such as pandemic impacts on communities and police shootings. Other Contributions Tucker collaborates with the Mansueto Institute and Data Science Institute to develop interdisciplinary approaches to urban innovation. Though no formal grants or awards are listed, his research has been featured in institutional blogs and academic platforms.

Tonima Aliمشاهده پروفایل

پژوهشگر ارشد

• MRI Technology
• Neuroimaging
• Biomedical Engineering
• +۳ مورد دیگر

Dr. Tonima Ali is a Postdoctoral Research Fellow at the University of Sydney's School of Biomedical Engineering and a member of the Brain and Mind Centre. Her research focuses on improving structural, compositional, and functional understanding of biological tissues using MRI, particularly in neuroimaging applications such as Multiple Sclerosis analysis. She teaches courses including Industry and Community Project (ICPU4000), Biomedical Image Analysis (BMET5933), and Comparative Imaging (MRTY4041). Her current projects include surface-based analysis of white/grey matter myeloarchitecture and brain fingerprinting via MRI. Dr. Ali holds a BSc in Electrical Engineering from the University of Alberta, an MSc in Biomedical Engineering from the University of Calgary, and a PhD in Biomedical Engineering and Medical Physics from Queensland University of Technology. She previously worked as an National Imaging Facility (NIF) Fellow at the University of Queensland. Education: BSc Electrical Engineering, University of Alberta, Canada MSc Biomedical Engineering, University of Calgary PhD Biomedical Engineering and Medical Physics, Queensland University of Technology Research Themes: Neuroimaging, MRI optimization, tissue composition analysis, and disease diagnostics. Teaching & Supervision: Course leader for ICPU4000, BMET5933, and MRTY4041 Supervised capstone projects on white matter fiber orientation and diffusion MRI Guided PhD projects on laminar VASO signal analysis and MRI quality assurance Grants: 2024 Brain and Mind Centre grant for normative subcortex modeling in neurodegenerative disorders. Labs & Teams: Active member of the Brain and Mind Centre and affiliated with the University of Queensland's imaging research group. Collaborates with IEEE, ISMRM, and Women in STEM networks.

Albert Montilloمشاهده پروفایل

دانشیار

• Deep Learning
• Medical Imaging
• Machine Learning in Healthcare
• +۶ مورد دیگر

Albert Montillo is an Associate Professor in the Lyda Hill Department of Bioinformatics at the University of Texas Southwestern Medical Center (UT Southwestern). He holds secondary appointments in Radiology, the Advanced Imaging Research Center, and Biomedical Engineering. He directs the Deep Learning for Precision Health Lab , focusing on advancing theory and applications of deep learning for healthcare, particularly in neuroimaging and multimodal data analysis. Montillo's education includes a Ph.D. in Medical Image Analysis and Computer Science from the University of Pennsylvania, an M.S. in Computer and Information Science from the same institution, and a B.S. in Computer Science, Electrical Engineering, and Cognitive Neuroscience from Rensselaer Polytechnic Institute (RPI). His research spans trustworthy AI, causal analysis, and clinical applications in neurodegenerative and psychiatric disorders. He has supervised numerous students across UT Southwestern, Southern Methodist University, UT Dallas, and UT Arlington, teaching courses such as Machine Learning and Python Bootcamp. His lab’s work includes developing algorithms for brain parcellation, artifact removal in MEG, and predictive models for diseases like Parkinson’s and Alzheimer’s. Key projects involve multimodal data fusion, causal discovery, and sample-efficient learning. Montillo has industry experience at Microsoft Research, GE Research, and the Harvard/MIT Martinos Center. His lab collaborates with departments including Neurology, Psychiatry, and Radiology, supported by federal grants and institutional funding. The lab’s goals include improving diagnoses, prognoses, and treatment planning through AI-driven insights.

• Neurotechnology
• Cognitive Neuroscience
• Neurophysiology
• +۳ مورد دیگر

Prof. Dr. Jacob Simon is a Neurologist and Neurophysiologist at the Technical University of Munich (TUM) , where he holds the Professorship for Translational Neurotechnology since 2019. His research focuses on the neuronal basis of cognitive functions like perception, memory, and language, bridging experimental neuroscience with clinical applications. MD from Yale University (2006) Postdoc at Tübingen's Center for Integrative Neuroscience Board-certified Neurologist Prof. Jacob's lab investigates how populations of neurons in cognitive brain centers (prefrontal cortex, parietal cortex, basal ganglia) interact to produce intelligent behavior. Using techniques like large-scale extracellular recordings , optogenetics , and invasive human neurotechnology , his team explores neuromodulation, particularly dopamine's role in cognitive circuits. Their translational approach connects findings from mice to human neurosurgical patients , aiming to improve treatments for cognitive disorders. Recent publications highlight breakthroughs in understanding striatal dopamine signals (2024), primate prefrontal cortex geometry (2023), and human microelectrode array recordings (2023). The lab has received multiple ERC grants (2017, 2024) and contributes to TUM's Innovation Network NEUROTECH (2021-2026). Scientific Recognition: ERC Consolidator Grant (2024) Early Excellence Academy Fellow (2023) ERC Starting Grant (2017) Charité Clinical Scientist Award (2014) Prof. Jacob actively teaches in TUM's Neuroengineering and Medical Life Sciences programs while leading a vibrant team of neuroscientists, engineers, and clinicians. His work appears in top journals like Nature Neuroscience , Science Advances , and Neuron , with a focus on understanding cognition's cellular basis for clinical applications.

William Parcellمشاهده پروفایل

دانشیار

• stratigraphy
• sedimentology
• field geology
• +۱۰ مورد دیگر

William Parcell is an Associate Professor in the Department of Geology at Wichita State University's Fairmount College of Liberal Arts and Sciences. He serves as Director of the Geology Field School and maintains an active research program spanning geological sciences, history of geology, and educational outreach. Ph.D. in Geological Sciences from University of Alabama (2000) M.S. in Geology from University of Delaware (1997) B.S. in Geology from Sewanee: The University of the South (1994) Dr. Parcell's research spans two primary domains: contemporary geological science and historical geology. His geological research focuses on stratigraphy, sedimentology, field geology, and sedimentary basin analysis, with particular expertise in microbialite systems, carbonate sedimentology, and sequence stratigraphy. His second major research thrust involves historical geology, particularly the translation and analysis of works by 17th-century Jesuit scholar Athanasius Kircher. His recent publications include complete translations of Kircher's Itinerarium Exstaticum (1656) and Iter Exstaticum II (1657), examining early conceptualizations of the cosmos and subterranean world. Dr. Parcell also maintains strong interests in decision-making methodologies in geology, incorporating expert systems, many-valued logic, and subjective probability. Analysis of Dr. Parcell's publication record reveals a distinctive dual trajectory in his scholarly work. On one hand, he produces contemporary geological research focused on Jurassic and Cretaceous stratigraphy in the Bighorn Basin of Wyoming, with particular attention to microbialites, sedimentary systems, and resource assessment. On the other hand, he has developed a significant body of work translating and analyzing historical geological texts, particularly those of Athanasius Kircher, bridging historical scholarship with modern geological understanding. This interdisciplinary approach connects 17th-century scientific thought with contemporary geological practice, creating a unique niche at the intersection of history, philosophy, and earth sciences. As Director of the Geology Field School, Dr. Parcell leads both traditional in-person field camps in the Bighorn Basin of Wyoming and Montana, as well as innovative virtual Minecraft gamified field experiences. His educational initiatives extend to K-12 outreach, as evidenced by his work on shrink-swell clays for middle school students. The Field School benefits from the Woolsey Family Fund, which provides substantial fee scholarships for participating students. Dr. Parcell maintains active research collaborations with colleagues at Wichita State University and beyond, particularly in the areas of sedimentary basin analysis, microbialite characterization, and historical geology. His work with the MUNDUS digital archive project demonstrates his commitment to preserving and making accessible historical earth science inquiry. His most recent projects include comprehensive translations of Kircher's major geological works and continued field-based research in the Bighorn Basin region, with a focus on Jurassic stratigraphy and sedimentary systems.

• Agroforestry Engineering
• GIS Methods
• Rural Planning
• +۴ مورد دیگر

David Miranda Barros is a Professor at the University of Santiago de Compostela, affiliated with the Department of Agroforestry Engineering at the Higher Polytechnic School of Engineering. He is also associated with the Institute of Agricultural Biodiversity and Rural Development (IBADER) and the research groups Te-Bio (Territory, Biodiversity) and PROEPLA (Projects and Planning). He earned his Doctorate from the University of Santiago de Compostela in 2002 with a thesis titled Characterization and evaluation of parcel concentration in Galicia, proposals for an integrated procedure of rural planning based on advanced GIS methods, digital photogrammetry and multivariate analysis , supervised by Dr. Rafael Crecente Maseda. His research focuses on agroforestry engineering, rural planning using GIS technologies, and biodiversity conservation. He has contributed to projects involving geospatial analysis, photogrammetry, and multivariate statistical methods applied to territorial management. No scientific awards or articles are explicitly listed in the provided information.

Magdalene Marinakiمشاهده پروفایل

پژوهشگر

• Optimization
• Optimal Control
• Nature Inspired Algorithms
• +۵ مورد دیگر

Magdalene Marinaki serves as a Researcher and permanent laboratory teaching personnel at the Technical University of Crete (TUC), School of Production Engineering and Management. She also teaches in the Hellenic Open University's Social Sciences Graduate Program. Her expertise lies in optimization methodologies, optimal control systems, and nature-inspired algorithms applied to logistics and manufacturing. She holds a Diploma, MSc, and PhD from TUC, specializing in Production Engineering and Management. Her research focuses on computational optimization, metaheuristics, vehicle routing problems (VRP), energy-efficient transportation systems, and structural control. She has authored 4 books and over 50 journal articles, with additional contributions to conference proceedings. Notable projects involve EU-funded research on blockchain applications in maritime logistics, electric vehicle routing, and unmanned aerial vehicle (UAV) path optimization. Her recent work emphasizes sustainable transportation solutions, including EV charging infrastructure planning and drone-integrated delivery networks. She has developed algorithms like teaching-learning-based optimization and hybrid swarm intelligence techniques, addressing real-world challenges in supply chain management and smart manufacturing systems.

Adam Clementeمشاهده پروفایل

مدرس

• traumatic brain injury (TBI)
• cognitive neuroscience
• magnetic resonance imaging (MRI)
• +۷ مورد دیگر

Dr. Adam Clemente is a Lecturer in Psychology at the Australian Catholic University (ACU) since March 2024. He is affiliated with the School of Behavioural and Health Sciences and contributes to both teaching and research within the Healthy Brain and Mind Research Centre . His academic journey includes a PhD from ACU and roles as Senior Research Officer and Sessional Academic. Education : Bachelor of Psychological Sciences (Honours), PhD at ACU Mary MacKillop Institute for Health Research Research Interests focus on traumatic brain injury (TBI) , neuroimaging (MRI/diffusion MRI), cognitive neuroscience , and addiction studies . He explores white matter integrity, brain-behavior relationships, and network communication efficiency, particularly in TBI patients and cannabis users. Publication Trends indicate expertise in structural connectomics, fixel-based analysis, and attentional lapses research. His work bridges clinical profiling, multimodal rehabilitation, and neuroplasticity in brain-injured populations, with recent emphasis on cannabis-related neurobiology. Scientific Accolades : Peter W Sheehan Psychology Scholarship (ACU, 2013) Australian Psychological Society prize (2014) Research Training Program Scholarship (2016-2020) Best Protocol Presentation (ACU Disability Research Network, 2016) NCLD Conference Scholarship (2016) Travel/Training Grants (ACU, 2018-2019) Public Engagement includes a guest appearance on Einstein A Go-Go (Triple R FM Melbourne, 2021) discussing cannabis use disorder and brain function research.

Michel KIEFFERمشاهده پروفایل

استاد

• Signal Processing
• Communication Systems
• Networking
• +۵ مورد دیگر

Michel KIEFFER is a Professor in Signal Processing for Communications at Paris-Sud University and a researcher at the Laboratoire des Signaux et Systèmes (L2S), Gif-sur-Yvette, France. He holds a Ph.D. (1999) and Habilitation (2005) from Université Paris-Sud. Previously, he served on part-time leave at Laboratoire de Traitement et Communication de l’Information (CNRS-Télécom ParisTech, 2009–2016) and was a junior member of the Institut Universitaire de France (2011–2016). His research focuses on joint source-channel coding, signal processing for communication networks, and robust control systems. Key contributions include works on multimedia transmission reliability, UAV localization, and fault identification in power grids. He co-authored over 100 publications and books like Applied Interval Analysis (Springer, 2001) and Joint Source-Channel Decoding (Academic Press, 2009). He serves as Associate Editor for Signal Processing (since 2008) and IEEE Transactions on Communications (2012–2016). His work spans interdisciplinary areas such as energy systems, robotics, and telecommunications, addressing challenges in real-time data transmission, network slicing, and distributed control.