جست‌وجوی استاد و پژوهشگر

• Natural Language Processing
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Dr. Masoud Makrehchi is an Associate Professor in the Department of Electrical, Computer and Software Engineering at Ontario Tech University, part of the Faculty of Engineering and Applied Science. His research focuses on Natural Language Processing, Artificial Intelligence, Machine Learning, and Social Computing, with a strong emphasis on applications in network science and moral AI. He holds a PhD from the University of Waterloo (2007), along with earlier degrees from Shiraz University and Iran University of Science and Technology. Prior to academia, he worked as a Senior Research Scientist at Thomson Reuters (2008–2012) and completed a postdoctoral fellowship at the University of Waterloo (2007–2008). His research expertise includes text mining, social network analysis, and network science, addressing challenges such as signed social network analysis, document classification, and crime trend prediction using social media data. He has received several awards, including the NSERC Postgraduate Scholarship and the SBP Challenge Award (2012). His work spans over 50 peer-reviewed publications in journals like Expert Systems with Applications, Social Network Analysis and Mining, and Web Intelligence, with contributions to conferences such as GECCO and IEEE/ACM. Dr. Makrehchi’s publications highlight innovations in feature selection, text segmentation, and AI-driven frameworks for requirements elicitation. His recent work explores coherence graphs for text segmentation, generative AI in education, and bias detection in medical datasets. He has also contributed to patent applications related to sentiment analysis and text extraction systems.

Gennady Samorodnitskyمشاهده پروفایل

استاد

• Stochastic Modeling
• Heavy Tailed Distributions
• Long-Range Dependence
• +۶ مورد دیگر

Gennady Samorodnitsky is a Professor in the School of Operations Research and Information Engineering (ORIE) at Cornell University. He holds a B.S. from the Moscow Steel and Alloys Institute (1978), M.S. from Technion – Israel Institute of Technology (1983), and a D.Sc. from Technion (1986). He joined Cornell in 1988 and has held visiting positions at the University of North Carolina at Chapel Hill and Boston University. His research focuses on stochastic processes, particularly heavy-tailed distributions, long-range dependence, and extreme value theory, with applications in finance, teletraffic, and climate modeling. Education: B.S., Moscow Steel and Alloys Institute, USSR, 1978 M.S., Technion – Israel Institute of Technology, 1983 D.Sc., Technion – Israel Institute of Technology, 1986 Samorodnitsky’s research interests span stochastic modeling, including heavy-tailed processes, self-similar processes, and extreme value analysis. He examines the behavior of financial and telecommunication systems under long memory and non-Gaussian conditions. Key areas include the statistical analysis of extremes in climate data and the theoretical foundations of stable and infinitely divisible processes. His work bridges probability theory with applications in risk management, network traffic analysis, and climate science. His publications explore topics such as high-level excursion sets in random fields, tail inference, and the interplay between ergodic theory and stochastic processes. He has contributed to books like Stochastic Processes and Long Range Dependence and authored numerous technical reports on topics like ruin probabilities and multivariate extremes. Samorodnitsky teaches advanced courses, including ORIE 7590: Martingales in Discrete and Continuous Time , and maintains an active role in academic conferences and collaborations. His research group investigates cutting-edge problems in high-dimensional extremes, privacy-aware learning, and topological data analysis.

Min Sunمشاهده پروفایل

استاد

• Educational Policy
• Teacher Education & Research
• AI/ML in Education
• +۸ مورد دیگر

Dr. Min Sun is a Professor in the Department of Educational Policy, Organization and Leadership at the University of Washington's College of Education. Her research focuses on teacher learning, AI/ML integration in education, and policy-driven educational reforms. She leads interdisciplinary teams developing AI tools like the NSF-funded Colleague lesson planning platform and the IES-funded AmplifyGAIN Center. Her work addresses inequities in education through policy analysis and partnerships with K-12 schools and EdTech industries. Dr. Sun holds a Ph.D. in Educational Policy and Measurement from Michigan State University. She teaches courses such as EDLPS 302: Intro to Educational Policy and EDLPS 564: Economics of Education. Her research spans four key areas: AI/ML method development, AI-powered educational tools, data science training programs, and policy research with multi-sector collaborations. Notable grants include a $10 million IES grant for the AmplifyGAIN Center and a $1.5 million NSF grant for AI-driven math lesson planning. Her policy work emphasizes equitable education access and data-driven solutions. She directs the Education Policy Analytics Lab (EPAL) and collaborates with stakeholders to translate research into actionable strategies.

• Computational Neuroscience
• Neural Networks
• Synaptic Plasticity
• +۳ مورد دیگر

Prof. Tatjana Tchumatchenko is Professor and TRA Steering Committee member at the University of Bonn, leading a computational neuroscience group at the Institute of Experimental Epileptology and Cognition Research. Her research focuses on computational analysis of recurrent neural networks and molecular dynamics of synapses. Research examines how molecular dynamics in dendrites organize synaptic plasticity outcomes, and how synaptic learning rules help neural networks solve computational tasks. The group develops quantitative methods to understand neural data and predictive models of neural network function across molecular, synaptic, and network levels. Honors include the Boehringer Ingelheim FENS Research Award (2022), ERC Starting Grant (2020), Heinz Maier-Leibnitz-Prize (2016), and election to the Young Academy of Europe. Current projects investigate dendritic protein distribution, energy constraints in neurons, and astrocyte contributions to learning.

Javad Fattahiمشاهده پروفایل

استادیار

• Energy Equity and Inclusion
• Distributed Energy Resources (DER)
• Software-Defined Nanogrids
• +۶ مورد دیگر

Dr. Javad Fattahi is an Assistant Professor at the School of Electrical Engineering and Computer Science, University of Ottawa. He holds roles as an IEEE Senior Member, Professional Engineer (P.Eng.), and member of the Standards Council of Canada. He leads the IEEE 2030.5 smart-grid interoperability verification initiative as its VP and chief editor. Dr. Fattahi earned his BSc in Electrical Engineering from Iran University of Science and Technology (IUT), followed by graduate studies at Sharif University of Technology (SUT). He completed his PhD and postdoctoral research at the University of Ottawa, specializing in energy systems and optimization. His research focuses on energy equity, distributed energy resources (DERs), software-defined nanogrids, game theory, smart mobility, and nonlinear systems. His recent work emphasizes data-driven digital twins for grid stability, V2G integration in residential complexes, and federated Byzantine agreement models for EV infrastructure. Key contributions include transactive energy systems under IEEE standards and energy disaggregation in institutional buildings. Dr. Fattahi has received accolades including IEEE Senior Membership and P.Eng. certification. His lab develops solutions for grid-edge technologies, smart mobility, and resilient energy systems. Graduate opportunities are available via his UniWeb page.

• Movement Ecology
• Evolutionary Biology
• Habitat Fragmentation
• +۶ مورد دیگر

Dr. Monique de Jager is a postdoctoral researcher at Utrecht University's Quantitative Biodiversity Dynamics (QBD) Group and holds guest researcher positions at the Ecology & Biodiversity Group (E&B) at Utrecht University and the Animal Ecology Group at the Netherlands Institute of Ecology (NIOO-KNAW). Her research focuses on eco-evolutionary dynamics, spatial modeling of movement strategies in plants and animals, and biodiversity conservation. She specializes in using computational models, including deep learning, to address ecological challenges such as habitat fragmentation and biodiversity loss. Education: PhD in Eco-evolutionary Feedbacks in Self-organized Ecosystems from the University of Groningen (2015). Research Interests: Movement ecology, evolutionary biology, spatial ecology, seed dispersal mechanisms, and the application of individual-based models to ecological systems. Her work bridges theoretical and applied ecology, addressing questions related to species dispersal, habitat connectivity, and conservation strategies. Recent Trends in Articles: Dr. de Jager's recent work explores critical transitions in dispersal strategies due to habitat fragmentation, optimal management practices for mitigating goose-related agricultural damage, and the role of spatial self-organization in mussel bed ecosystems. Her studies often integrate computational modeling with empirical data to predict ecological outcomes under environmental changes. Awards: Best-publication award (2011) for work on Lévy walks in Science. Second-best publication award (2014) for research on superdiffusion in Proceedings B. Collaborations: With Merel Soons on seed dispersal via water in streams. With Marijke van Kuijk on optimizing camera trap data analysis. With Bart Nolet on goose migration modeling. Labs/Teams: Quantitative Biodiversity Dynamics Group (QBD), Ecology & Biodiversity Group (E&B), and Animal Ecology Group (NIOO-KNAW).

Sade Bonillaمشاهده پروفایل

استادیار

• Education Policy
• Higher Education Access
• Ethnic Studies
• +۳ مورد دیگر

Sade Bonilla is an Assistant Professor at the University of Pennsylvania's Graduate School of Education (Penn GSE) and Senior Research Specialist at the Consortium for Policy Research in Education. Her work focuses on education policies' transformative potential for marginalized youth, particularly in high school-to-college transitions and labor market readiness. She leads research-practitioner partnerships to generate actionable insights for schools and policymakers. Key research projects include the 'Cost-of-Living Grant Pilot on Community College Student Success' (funded by Arnold Ventures), examining financial aid's impact on completion rates and well-being, and a multi-site study on ethnic studies' effects on academic and social-emotional outcomes (funded by the Hewlett Foundation). She has held prestigious fellowships, including the 2019 Outstanding Predoctoral Fellow from IES and Spencer/NAEd Dissertation Fellowship (2018). Her recent work highlights barriers to postsecondary success, emphasizing mental health, financial stability, and structural inequities. Collaborations with institutions like Massachusetts community colleges and Bay Area districts demonstrate her commitment to real-world policy impact. Grants & Leadership: Principal Investigator for Arnold Ventures' financial aid study, Co-PI on Hewlett Foundation's ethnic studies research Community Engagement: Named inaugural Faculty Research Director for Penn GSE's Office of School and Community Engagement (2024) Her research teams utilize mixed methods, combining longitudinal data with student-centered qualitative insights to address systemic challenges in education equity.

Joannes Westerinkمشاهده پروفایل

استاد

• Computational fluid dynamics
• Finite element methods
• Coastal ocean modeling
• +۳ مورد دیگر

Joannes Westerink is the Joseph and Nona Ahearn Professor in Computational Science and Engineering at the University of Notre Dame's College of Engineering. He holds concurrent faculty titles in the Departments of Aerospace and Mechanical Engineering, Earth Sciences, Computer Science and Engineering, and other disciplines. His research focuses on computational fluid dynamics, tidal hydrodynamics, and hurricane storm surge prediction. He earned his Ph.D. from MIT in 1984, followed by M.S. and B.S. degrees in Civil Engineering from SUNY Buffalo. Key research interests include finite element methods, coastal circulation modeling, and geophysical turbulence. In 2025, he was awarded the International Coastal Engineering Award for his contributions to storm surge forecasting and coastal hazard mitigation. Westerink leads the Computational Hydraulics Laboratory, advancing numerical models like STOFS (Surge and Tide Operational Forecast System) for global water level predictions. His recent work integrates AI-driven nudging techniques and machine learning to enhance model accuracy, with applications in disaster risk assessment and climate adaptation.

Ciarán Hanleyمشاهده پروفایل

مدرس

• Structural Engineering
• Bridge Design and Assessment
• Infrastructure Management
• +۵ مورد دیگر

Dr. Ciarán Hanley is a Lecturer in Structural Engineering at University College Cork (UCC), specialized in bridge and infrastructure systems. He holds a PhD in Civil Engineering from UCC (2017), following a BEng (Ord) and BE (Hons) in Civil Engineering (2010–2012). His research focuses on performance-based design, structural safety, and sustainable infrastructure, with contributions to bridge management systems and life-cycle assessment. He serves as a technical reviewer for journals like Structure and Infrastructure Engineering and ICE - Bridge Engineering , and is a board member of the Civil Engineering Research Association of Ireland. Education: BEng (Ord) Civil Engineering, UCC, 2010 BE (Hons) Civil Engineering, UCC, 2012 PhD Civil Engineering, UCC, 2017 Professional Memberships: Institution of Structural Engineers (IStructE) International Association of Bridge and Structural Engineering (IABSE) Fédération Internationale du Béton (FIB) International Association of Shell and Spatial Structures (IASS) His research interests emphasize probabilistic design, structural reliability, and resilience of infrastructure. Key themes include multivariate analysis of bridge networks and the integration of sustainability into infrastructure management. He has contributed to EU projects like TU1406 and serves as Rapporteur for EuroStruct. His publications span over a dozen peer-reviewed articles in journals like Journal of Structural Integrity and Maintenance and Proceedings of the ICE . Dr. Hanley’s teaching includes courses on structural mechanics, prestressed concrete, and design studios. He was a finalist for Engineers Ireland Chartered Engineer of the Year (2019) and actively engages in consultancy for bridge and marine structure design.

• Plant Biosecurity
• Invasive Species Management
• Environmental Science
• +۳ مورد دیگر

Dr Mariella Marzano is an Honorary Research Fellow at the School of Geography and Sustainable Development, University of St Andrews. Her research focuses on plant biosecurity, invasive species management, and the ethical dimensions of citizen science in environmental monitoring. She has contributed to interdisciplinary projects addressing early detection frameworks for plant pests and policy challenges in forest health protection. Her work integrates technological innovation, stakeholder engagement, and governance strategies to address ecological and socio-economic challenges. Education: While specific educational details are not provided, her publications and research roles suggest advanced training in environmental science, plant pathology, or related fields. Research Interests: Dr Marzano explores intersections between technology (e.g., TRL frameworks for pest detection), policy (e.g., border controls and austerity impacts), and citizen science ethics. Her studies emphasize practical solutions for invasive species management and sustainable forest governance. Publications: Her recent work analyzes ethical dilemmas in citizen science, stakeholder engagement in forest management, and policy efficacy in plant biosecurity. These contributions highlight her focus on actionable insights for environmental conservation. Awards/Grants: No specific awards or grants are listed in the provided text. Labs/Teams: Affiliated with the School of Geography and Sustainable Development, though no dedicated lab or team is explicitly mentioned.

Robert Nobleمشاهده پروفایل

مدرس ارشد

• Cancer
• Evolutionary Biology
• Mathematical Biology
• +۷ مورد دیگر

Dr. Robert Noble is a Senior Lecturer in Mathematics at City St George's, University of London, specializing in the evolution and ecology of cancer . His research integrates mathematical modeling with computational biology to address four key themes: systematic understanding of somatic evolution, patient-specific tumor forecasting, treatment strategies leveraging evolutionary dynamics, and disentangling ecological contributions to cancer risk. Education: DPhil in Zoology (University of Oxford, 2014) Previous Appointments: Postdoctoral roles at ETH Zurich (2017-2020) and University of Zurich (2018-2020) His methodological toolkit spans agent-based models , stochastic processes , and Bayesian data analysis , with software contributions like the ggmuller and demon packages. Recent work focuses on universal tree balance indices for biological data comparison and adaptive therapy frameworks for clinical translation. Collaborations with experimental biologists and clinicians inform his research, which has produced key insights into spatial tumor evolution , drug resistance dynamics , and clonal diversity-survival relationships . He maintains active peer-review roles for journals like PLOS Computational Biology and Nature Ecology & Evolution.

Kimberly Moreمشاهده پروفایل

مدرس

• Health Psychology
• Behavior Change
• Habits
• +۶ مورد دیگر

Dr. Kimberly More is a Lecturer in the Department for Health at the University of Bath, affiliated with the Centre for Motivation and Behaviour Change. Her research focuses on the biopsychosocial model of health, emphasizing translational research to address behavioral intentions and maintenance of health-promoting behaviors, particularly in deprived communities. She holds a Doctor of Social Science from Iowa State University (2020) and a Bachelor of Arts from the University of British Columbia Okanagan (2014). Her work intersects Social and Health Psychology, examining factors like habits, identity, and community resources to promote health behaviors. She has secured over £2.7 million in funding, including a Royal Society of Edinburgh Personal Research Fellowship and UKRI grants. Key projects include participatory approaches addressing health disparities and habit-based interventions for diet and exercise. Recent articles explore topics such as self-regulation strategies in complex behaviors, neighborhood social cohesion’s impact on health outcomes, and workplace unethical behavior determinants. Awards include the Research Excellence Award (2019) and Teaching Excellence Award (2020). Her activities include invited talks at institutions like the European Health Psychology Society and presentations at conferences such as the Society of Behavioral Medicine. She collaborates on projects like the Realities in Health Disparities initiative (2024–2027) and the health and care futures in predictive medicine (2023–2024).

Tara Mangalمشاهده پروفایل

پژوهشگر ارشد

• Infectious Disease Epidemiology
• Health Systems Modelling
• Global Health
• +۷ مورد دیگر

Dr Tara Mangal is a Research Fellow in Infectious Disease Epidemiology at the School of Public Health within Imperial College London's Faculty of Medicine . Her work focuses on developing mathematical models to evaluate health interventions, particularly vaccines and resource allocation strategies in low-income settings. Dr Mangal has conducted impactful research in global health, including polio eradication efforts in Nigeria, HIV/AIDS research in Brazil, and health systems analysis in Malawi through the Thanzi la Onse project . She contributed to Imperial College's COVID-19 Response Team , analyzing pandemic management strategies and vaccination impacts. Her work integrates big data, Bayesian inference, and mixed-methods research to inform policy decisions. Research Interests: Modelling disease transmission dynamics and health system resilience Evaluating interventions for HIV, TB, malaria, and maternal health Health resource allocation using simulation models Climate change impacts on healthcare access Health system strengthening in low-income countries Recent Contributions: Thanzi la Onse model for Malawi's integrated health systems analysis WHO LENS Working Group analysis on children's roles in pandemic transmission Modelling vaccine efficacy and pandemic lockdown effects Labs/Teams: Active in Imperial College's Centre for Global Infectious Disease Analysis and collaborates with the Malawi Ministry of Health and UNAIDS.

Simone Aonzoمشاهده پروفایل

مدرس

• Cybersecurity
• Malware Analysis
• Android Security
• +۵ مورد دیگر

Simone Aonzo is a Class 2 Lecturer in the Digital Security department at EURECOM, a leading research and education institution in France focused on digital sciences. He is actively engaged in cybersecurity research with a strong emphasis on malware analysis, Android security, and machine learning applications in threat detection. His research interests span several critical areas in modern cybersecurity, including: Android and Windows malware analysis Evasive techniques used by malware Machine learning vulnerabilities in security systems Binary analysis and cryptographic function detection Phishing and social engineering attacks Security hardening using AI The trends in his recent publications (2024–2025) reflect a deep focus on adversarial machine learning, evasive malware behaviors, and the application of AI in both offensive and defensive security contexts. His work frequently appears in top security venues such as RAID, NDSS workshops, and IEEE-affiliated conferences, demonstrating his active contribution to the research community. He has no listed scientific awards in the provided text. Simone Aonzo is involved in mentoring and training through academic collaborations and educational events such as the PEPR Cybersecurity Winter School. While specific advisees are not listed, his collaborative publications suggest an active role in guiding junior researchers. There is no mention of grants, but his publication output implies ongoing research funding. He also contributes to community knowledge through talks and workshops. He is associated with the Digital Security research group at EURECOM, which focuses on cutting-edge cybersecurity challenges, including malware analysis, privacy, and system security. The team employs advanced techniques in machine learning, reverse engineering, and automated analysis to study modern threats.

Alexander Kurapovمشاهده پروفایل

استاد مدعو

• Ocean Modeling
• Data Assimilation
• Coastal Oceanography
• +۷ مورد دیگر

Alexander Kurapov holds a Courtesy Appointment at Oregon State University within the College of Earth, Ocean, and Atmospheric Sciences, Department of Oceanography. He is actively engaged in research involving ocean modeling and data assimilation, with a focus on coastal and shelf processes along the U.S. West Coast and the Bering Sea. His research interests span oceanic data assimilation, coastal ocean modeling, wind-driven circulation, internal tides, shelf mixing, and nearshore flows. These areas are central to understanding coastal dynamics, climate variability, and improving ocean forecasting systems. The recent publications highlight a strong trend in high-resolution numerical modeling, variational and ensemble data assimilation techniques, and analysis of coastal and shelf-scale processes. Topics include internal tide dynamics, sea level variability, glider data integration, and wave-current interactions, primarily in the Pacific Northwest and Bering Sea regions. The work demonstrates consistent application of advanced modeling frameworks to real-world oceanographic problems. Alexander Kurapov has collaborated extensively with leading oceanographers at Oregon State University and beyond, contributing to major projects such as the US Integrated Ocean Observing System (IOOS). While no formal awards are listed, his body of work reflects significant contributions to coastal ocean science. He has advised or collaborated with numerous researchers, though specific students are not named. His work often involves model development, observational integration, and participation in multi-institutional efforts. Kurapov’s research is supported through collaborative grants and institutional resources, though specific funding sources are not detailed in the text. His work is closely tied to modeling teams at Oregon State University, particularly those involved in coastal ocean forecasting, data assimilation, and nearshore dynamics. He contributes to systems like the West Coast Ocean Forecast System (WCOFS) and participates in regional observational-modeling initiatives.