جست‌وجوی استاد و پژوهشگر

• Special Education
• Disability Studies
• Intellectual Disability Research
• +۷ مورد دیگر

Professor Monica Cuskelly is a leading academic and researcher in the field of disability studies and special education at the University of Tasmania. She serves as Director of Research at the Applied Research Centre for Disability and Wellbeing (ARCDW), part of the Faculty of Education under the College of Arts, Law and Education (CALE). Her work focuses on intellectual disability, ageing psychology, and health psychology, with a strong emphasis on policy development and service delivery improvements. Professor Cuskelly has supervised numerous doctoral and masters students, contributing to research on topics such as inclusive education, disability policy implementation, and the social experiences of individuals with disabilities. Her research portfolio includes over 170 publications, with recent work addressing restrictive practices in disability care, maternal stress factors, and the impact of sibling relationships on developmental outcomes in children with disabilities. She has secured significant funding for projects such as the National Disability Insurance Scheme (NDIS) impact analysis, interventions for psychotropic medication reduction, and curriculum adjustments for students with intellectual disabilities. Notably, her work explores the intersections of policy, practice, and lived experiences to advance equitable outcomes for marginalized populations. Professor Cuskelly’s contributions extend to collaborative initiatives like the Australia-ASEAN Academics Forum and evaluations of early intervention programs for children with cerebral palsy. Her leadership in the ARCDW drives applied research aimed at improving quality of life for people with developmental, intellectual, or cognitive disabilities. Current projects investigate loneliness reduction strategies, criminal justice system supports for individuals with disabilities, and the role of siblings in developmental trajectories. Her academic career spans decades, with grants dating back to the 1990s, reflecting her sustained commitment to advancing disability research. She actively engages in policy discussions, serving as a conduit between academic findings and real-world applications. Professor Cuskelly’s interdisciplinary approach combines psychological insights with educational and healthcare perspectives, making her a pivotal figure in disability advocacy and research.

John Markhamمشاهده پروفایل

استاد

• Community ecology
• Symbiotic nitrogen fixation
• Ecosystem engineers
• +۳ مورد دیگر

John Markham is a Professor in the Department of Biological Sciences within the Faculty of Science at the University of Manitoba. His office is located in W481 Duff Roblin Building, and he can be contacted via email at John.Markham@umanitoba.ca or by phone at 204-474-7180. His research focuses on: Community ecology in northern ecosystems Symbiotic nitrogen fixation processes Ecosystem engineering mechanisms Arctic and boreal forest dynamics Plant-soil-animal interactions Environmental stressor impacts on nutrient cycling Professor Markham's work centers on how biotic interactions shape subarctic and boreal environments, particularly through the lens of nitrogen-fixing plants and animal-mediated ecosystem engineering. His research demonstrates how Arctic foxes create nutrient hotspots via denning that enhance plant productivity and diversity in tundra ecosystems, while his studies on actinorhizal plants (especially alders) reveal complex responses to salinity, temperature, moisture, and elevated CO2 levels. Analysis of his 15 most recent publications (2021-2025) shows consistent emphasis on Arctic fox ecosystem engineering impacts on forest dynamics, nitrogen fixation symbiosis under environmental stressors, and landscape-scale nutrient cycling. His work integrates field experiments across Canadian sites with remote sensing and biogeochemical analyses, revealing how animal activities and microbial symbioses drive ecosystem resilience in northern environments facing climate change.

Yunfeng Jiangمشاهده پروفایل

استاد

• Algebraic Geometry
• Mathematical Physics
• Moduli Spaces
• +۳ مورد دیگر

Yunfeng Jiang is a Professor of Mathematics at the University of Kansas, affiliated with the Department of Mathematics in the College of Liberal Arts & Sciences. His research focuses on algebraic geometry, with a particular emphasis on moduli spaces of stable maps, sheaves, and their enumerative invariants such as Gromov-Witten and Donaldson-Thomas invariants. His work intersects theoretical physics, including string theory and gauge theory, exploring connections between algebraic structures and physical theories. Recent research has addressed smoothing of surface singularities, equivariant geometry, and the interplay between birational geometry and enumerative invariants. He has contributed to the study of moduli spaces of general type surfaces, Vafa-Witten invariants, and S-duality conjectures on K3 surfaces. His work often involves advanced techniques like virtual fundamental classes and obstruction theories. Jiang has taught extensively at KU, including courses on linear algebra, calculus, algebraic topology, and specialized topics in algebraic geometry. His research is supported by the NSF (DMS-2401484) and has been disseminated through over 50 peer-reviewed publications in top journals like *Mathematische Annalen*, *Advances in Mathematics*, and *Pure and Applied Mathematics Quarterly*. His research trends emphasize geometric structures in higher dimensions, moduli problems, and applications to physics, with notable contributions to the quantum cohomology of moduli spaces and the study of root stacks in algebraic geometry.

Gourab Rayمشاهده پروفایل

دانشیار

• Probability Theory
• Statistical Physics
• Stochastic Processes
• +۳ مورد دیگر

Gourab Ray is an Associate Professor in the Department of Mathematics and Statistics at the University of Victoria, Faculty of Science. He holds a PhD from the University of British Columbia, Vancouver. His research focuses on the intersection of probability theory, geometry, and mathematical physics, particularly large-scale patterns in stochastic models inspired by physics. Key areas include random planar maps, random walks, lattice spin models, dimer models, Gaussian free field properties, and Liouville quantum gravity. Recent work emphasizes establishing Gaussian free field-like behaviors in dimer models across various graphs and surfaces. He teaches courses such as MATH 236: Introduction to Real Analysis and MATH 555: Topics in Probability. His publications span leading journals including Inventiones Mathematicae , Annals of Probability , and Probability Theory and Related Fields . Notable contributions include studies on unimodular hyperbolic triangulations, half-planar map classifications, and conformal invariance in dimer models. No specific awards are listed for Dr. Ray, though his work has been recognized in peer-reviewed venues. He actively contributes to academic service, including roles on graduate committees and research collaborations. His research group engages with theoretical and applied aspects of probability theory, often bridging discrete and continuous mathematical frameworks.

Nidhi Hegdeمشاهده پروفایل

دانشیار

• Privacy-Preserving Machine Learning
• Algorithmic Fairness
• Distributed Systems
• +۲ مورد دیگر

Dr. Nidhi Hegde is an Associate Professor in the Department of Computing Science at the University of Alberta and a Canada CIFAR AI Chair at the Alberta Machine Intelligence Institute (Amii). Her research focuses on privacy-preserving machine learning, algorithmic fairness, and robust algorithm design for networked systems. Dr. Hegde's current research investigates differential privacy in bandit algorithms, debiasing frameworks for language models, and long-term fairness guarantees for minority groups. Her work combines theoretical foundations with practical applications in distributed systems and multi-agent learning environments. Recent publications address covariate shift effects in optimization, private matroid optimization, and reinforcement learning with functional noise. She teaches graduate courses on Responsible AI and Ethical Issues in Data Analytics, covering topics including data privacy, fairness in algorithms, interpretability, and accountability. Dr. Hegde maintains active research collaborations and previously led privacy research at Borealis AI (RBC's research institute).

• Applied Mathematics
• Nonlinear Waves
• Integrable Systems
• +۵ مورد دیگر

Peter Miller is a Professor in the Department of Mathematics at the University of Michigan, Ann Arbor. He holds a Ph.D. in Applied Mathematics from the University of Arizona (1994) and has held academic positions at institutions such as Monash University (Australia) and SAMSI (USA). His research focuses on applied analysis, integrable systems, nonlinear waves, and asymptotic methods. Key areas include the study of Painlevé equations, dispersive shock waves, and Riemann-Hilbert problems. Miller has led the Applied and Interdisciplinary Mathematics graduate program and is an active mentor, overseeing numerous Ph.D. students and postdoctoral researchers. Education: Ph.D., University of Arizona (1994); M.S., University of Arizona (1991); B.S. (Summa Cum Laude), Southern Methodist University (Mathematical Sciences and Computer Science, 1989). Research interests span asymptotics of nonlinear waves, random matrix theory, and special functions. His work emphasizes multiscale phenomena and modulation theory in integrable systems. Notable contributions include studies on the semiclassical limit of the nonlinear Schrödinger equation and universality in dispersive hydrodynamics. Awards include NSF grants (2022, 2018, 2015), a Simons Fellowship (2013), and a Sloan Fellowship (2002). He has delivered plenary lectures at international conferences and authored the textbook Applied Asymptotic Analysis (AMS, 2006). Teaching responsibilities include graduate courses in applied analysis, integrable systems, and partial differential equations. He has coordinated large undergraduate programs and mentored over 30 students and postdocs. Miller serves on editorial boards for journals like Journal of Nonlinear Science and organizes conferences on dispersive equations and inverse scattering.

Ellen Arrudaمشاهده پروفایل

استاد

• Biomechanics
• Soft Tissue Mechanics
• Polymer Mechanics
• +۴ مورد دیگر

Ellen Arruda is the Tim Manganello/BorgWarner Department Chair and Maria Comninou Collegiate Professor of Mechanical Engineering at the University of Michigan. She holds joint appointments in Biomedical Engineering and Macromolecular Science and Engineering. Her research bridges biomechanics and materials science, focusing on soft tissue mechanics and polymer behavior. PhD (Mechanical Engineering, MIT, 1992) MS (Engineering Mechanics, Penn State, 1988) BS (Engineering Science, Penn State, 1985) Her research spans biomechanics , soft tissue engineering , and polymer mechanics , with applications to knee ligament replacement , impact-resistant materials , and brain-protective helmets . She utilizes full-field displacement mapping and computational modeling to analyze tissue and polymer responses under extreme conditions. Recent publications emphasize knee ligament characterization , nanocomposite design , and impact mitigation . Her work has attracted major funding from DARPA , NSF , and NIH , among others. National Academy of Engineering (2017) A.C. Eringen Medal (2021) Nadai Medal (2019) Distinguished Faculty Achievement Award (2014) As Principal Investigator of the Soft Tissue and Polymer Mechanics Lab , she leads a team exploring tissue engineering strategies and advanced material solutions. Her lab has developed 3D scaffold-free constructs for bone-ligament interfaces and blast-resistant composites .

• Soil Security
• Environmental Sustainability
• Soil Science
• +۳ مورد دیگر

Professor Damien Field is a leading academic in global soil security and soil education at the University of Sydney, serving as Director of the Sydney Institute of Agriculture and Chair of Division 4 in the International Union of Soil Science. He holds roles in the School of Life and Environmental Sciences and chairs the Sydney Southeast Asia Centre's Executive Research Training committee. His career includes research fellowships, academic leadership roles, and a Master of Education (Higher Education). Education: Bachelor of Science in Soil Science PhD in Soil Structure (Cotton Production) Master of Education (Higher Education) Research Interests: Integrating soil security with global sustainability, soil modeling, and education. His work spans soil functionality, agroecosystems, and community-driven research in Laos and Papua New Guinea. He advocates linking research with teaching, emphasizing real-world problem-solving through innovative curricula and field schools. Publications & Grants: Over 100 peer-reviewed articles, including books on global soil security and chapters on soil sensing. Key projects include soil mapping in Laos and cocoa sustainability in PNG, funded by ACIAR and GRDC. Collaborates with universities in Cambodia, Laos, Vietnam, and the USA. Awards: Vice Chancellor’s Award for Outstanding Mentorship (2016) Fellow of Soil Science Australia (2020) Principal Fellow Higher Education Academy (2020) Roles & Lab: Leads the Sydney Institute of Agriculture and coordinates international field schools with the National University of Laos. Advises postgraduate training and chairs soil education committees internationally.

Lilya Budaghyanمشاهده پروفایل

استاد

• Boolean Functions
• Cryptography
• Information Security
• +۳ مورد دیگر

Lilya Budaghyan is a Professor at the Department of Informatics, University of Bergen, Norway, leading the Boolean functions research team at the Selmer Center. She holds a PhD from the University of Magdeburg (2005) and a habilitation from Paris 8 University (2013). Her research focuses on Boolean functions, particularly APN (Almost Perfect Nonlinear) functions and their cryptographic applications, with contributions to hardware implementations, equivalence relations, and cryptographic protocol design. She has authored the book *Construction and Analysis of Cryptographic Functions* and received awards including the TMS Starting Grant (2016) and Emil Artin Junior Prize (2011). Her work includes projects like the EU-funded BoolTI (2021–2025) and collaborations across institutions in Armenia, Germany, Italy, and France. Key research themes include constructing APN functions, analyzing their properties, and optimizing their hardware implementations for secure systems. Her recent publications emphasize hardware architectures for APN permutations, equivalence between cryptographic functions, and theoretical advancements in algebraic coding and finite fields. She serves as an editor for journals in cryptography and has organized international workshops such as WCC 2013.

Jessica Forrestمشاهده پروفایل

دانشیار

• Evolutionary ecology
• Pollination
• Climate change
• +۵ مورد دیگر

Jessica Forrest is an Associate Professor in the Department of Biology at the University of Ottawa, affiliated with the Faculty of Science. Her research focuses on evolutionary ecology, particularly plant-pollinator interactions, climate change impacts on pollinators, and the ecological consequences of phenological shifts. She studies native bees, their interactions with plants, and how agricultural practices can benefit from native bee ecology. Her work spans field studies in natural and agricultural landscapes, emphasizing pollinator conservation and climate adaptation. Notable projects include investigations into bee nesting habitat enhancement in orchards, the effects of drought on alpine bees, and the role of floral traits in pollinator attraction. Research Themes: Pollination ecology, climate change biology, bee behavior, and agricultural sustainability. Labs/Teams: Leads the Forrest Lab at the University of Ottawa, involving graduate and undergraduate students in field and lab-based studies. Her recent work highlights the importance of Asteraceae pollen in protecting mason bees from brood parasites and the complex effects of temperature on bee reproductive success in high-elevation habitats. Students advised include Lydia, Michelle, Natasha, Roisin, Tovah, and others, with projects ranging from bee cognition to agricultural pollination systems. The Forrest Lab collaborates widely, addressing applied and theoretical questions in pollinator ecology.

• Number Theory
• Algebraic Geometry
• Modular Forms
• +۵ مورد دیگر

Dr. Helena Verrill is an Assistant Professor at the Department of Mathematics, University of Warwick, focusing on teaching and outreach. Her research interests span Number Theory, Algebraic Geometry, Combinatorial Game Theory, and the Mathematics of Origami, with applications in generative art. She actively mentors students through third-year essays, research projects, and outreach initiatives like the Royal Institute Masterclasses. Her research explores modular forms, computational algebra, and arithmetic geometry, with notable contributions to ℓ-adic representations and noncongruence cuspforms. She bridges pure mathematics with artistic expression through origami tessellations and fractal patterns. Notable works include studies on Fano plane automorphisms and Harter-Heighway dragon curves. Her publications span journals like the *Proceedings of the American Mathematical Society* and *Journal of Number Theory*, alongside creative outputs in *Generative Art* and *Bridges Conferences*. She maintains a personal homepage with resources for mathematical art and education.

• Type Theory
• Dependent Types
• Functional Programming
• +۱۱ مورد دیگر

Andreas Abel is a Senior Lecturer in the Division of Computing Science at the Department of Computer Science and Engineering, Chalmers University of Technology and the University of Gothenburg. He has previously served as an Assistant Professor at Ludwig-Maximilians-Universität (LMU) Munich and has been a visiting researcher at INRIA in Paris. His primary affiliations are with Chalmers and the University of Gothenburg, where he conducts research and teaches in programming languages and type theory. Chalmers University of Technology, Department of Computer Science and Engineering, Senior Lecturer University of Gothenburg, Division of Computing Science LMU Munich, Assistant Professor (former) INRIA Paris, Visiting Researcher Abel’s research lies at the intersection of type theory, functional programming, and formal verification. He is particularly known for his work on dependent types, normalization by evaluation, and the development of the Agda proof assistant. His interests include constructive logic, logical frameworks, modal and linear typing, program verification, and compiler construction. He leads the Modal Dependent Type Theory project funded by the Swedish Research Council (Vetenskapsrådet) and has contributed to several other major research initiatives in programming language theory. His recent publications reflect a strong focus on foundational aspects of type systems, including cubical type theory, decidability of conversion, and formalization of algebraic completeness. These works appear in top-tier venues such as ICFP, LICS, POPL, and TYPES, showcasing both theoretical depth and practical implementation in Agda. Distinguished Paper Award, ICFP 2019 Editor, Theoretical Pearls column, Journal of Functional Programming Member, IFIP WG 1.3 on Foundations of System Specification Abel actively supervises students and contributes to the research community through program committee memberships for major conferences including LICS, ICFP, and CPP. He is a senior developer of Agda and the maintainer of the BNFC (Backus-Naur Form Compiler) tool. His work bridges theoretical computer science with practical software development for formal methods. He is involved in several research groups and projects, including the Programming Logic Group at Chalmers and the international EUTYPES network. His role as principal investigator and core contributor in multiple funded projects highlights his leadership in the field of programming language foundations.

Jörg Völkelمشاهده پروفایل

استاد

• Geomorphology
• Soil Science
• Global Change Research
• +۴ مورد دیگر

Prof. Jörg Völkel holds the professorship in Geomorphology and Soil Science at the TUM School of Life Sciences, Technische Universität München. His research focuses on global environmental change, landscape genesis, and geoarchives analysis across Central Europe, Africa, the Arabian Peninsula, and high mountain regions. He investigates critical zone dynamics, soil functions, geophysical prospecting, and geoarchaeology to validate environmental predictions. Academically, he earned his diploma (1985) and doctorate (1988) from the University of Bonn, followed by a habilitation (1993) at the University of Regensburg. Prior to TUM, he held professorships at Friedrich Schiller University Jena and University of Regensburg. He has led major research initiatives including the DFG-GRK 462 "Paleoecosystem Research" and coordinates Bavarian climate and environmental networks. Research emphasizes geomorphodynamics, soil genesis, and interdisciplinary approaches to environmental challenges. He serves on the Bavarian Climate Council (StMUV), Bavarian Academy of Sciences’ Geomorphology Commission, and is Chief Editor of Annals of Geomorphology . Key achievements include the 1989 Doctoral Prize from University of Bonn and leadership in international research collaborations. His work bridges geoscience with climate modeling through innovative field and geophysical methods.

Frank Tongمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Visual Perception
• Visual Cognition
• +۸ مورد دیگر

Frank Tong is a Professor of Psychology at Vanderbilt University in the College of Arts and Science. He leads an active research laboratory investigating the neural mechanisms of human visual perception, cognition, attention, and working memory. His work integrates behavioral experiments, high-resolution fMRI, and computational modeling to decode how visual information is represented and maintained in the brain. Department: Department of Psychology Office: Wilson Hall, Room 531 Email: frank.tong@vanderbilt.edu Phone: 615-322-1780 Education: B.S. in Psychology, Queen's University, Kingston, Canada (Advisor: Barrie Frost) Ph.D. in Psychology, Harvard University (Advisors: Ken Nakayama, Nancy Kanwisher) Postdoctoral Fellow, UCLA (McDonnell-Pew Fellowship, Advisor: Steve Engel) Frank Tong's research centers on understanding how early visual representations interact with higher cognitive functions such as attention and working memory. He has developed pioneering fMRI decoding methods to reconstruct visual features like orientation and object categories from brain activity patterns in the human visual cortex. His lab has demonstrated how these techniques can reveal the neural bases of visual working memory and object-based attentional selection. Current work includes using deep convolutional neural networks as models of human visual processing. His recent publications show a consistent focus on decoding mental states, visual features, and memory contents from brain activity, particularly using fMRI pattern analysis. The research spans visual working memory, attentional modulation, scene perception, and the application of machine learning to neural data. These studies frequently appear in top journals such as Nature , Nature Neuroscience , and Annual Review of Psychology . Scientific Awards: McDonnell-Pew Training Fellowship (1999) Robert K. Root Preceptorship, Princeton (2003) Scientific American Top 50 Award (2004) Young Investigator Award, Cognitive Neuroscience Society (2006) Chancellor's Award for Research, Vanderbilt (2008) Young Investigator Award, Vision Sciences Society (2009) Troland Research Award, National Academy of Sciences Frank Tong has advised numerous graduate students and postdoctoral fellows, many of whom have gone on to successful academic and research careers. His lab has received significant research funding to support its work in cognitive neuroscience and brain imaging. He has also served on the editorial board of the Annual Review of Psychology and as a board member of the Vision Sciences Society, reflecting his leadership in the field. He teaches undergraduate courses including Psy 3760 (Mind and Brain), Psy 3765 (Social Cognition and Neuroscience), and Psy 3780 (The Visual System). His lab continues to explore the interplay between early visual processing and higher cognition using advanced neuroimaging and computational techniques.

Federico Casanovaمشاهده پروفایل

دانشیار

• Sustainable food processing
• Extraction of bioactive compounds
• Green technologies in food engineering
• +۳ مورد دیگر

Federico Casanova is an Associate Professor at the National Food Institute of the Technical University of Denmark (DTU), specializing in sustainable food processing and biotechnological valorization of food waste. His work focuses on extracting high-value molecules (proteins, chitins, fatty acids) using green technologies like ultrasound, ohmic heating, and pulsed electric fields to enhance functional properties. Education : PhD (2015–2017, Federal University of Vicosa, Brazil), MSc (Agrocampus Ouest, France, 2009–2010; Universitat Jaume I, Spain, 2006–2007), BSc (Università Cattolica, Italy, 2003–2006). Research Trends : Recent publications highlight applications of green technologies to modify protein-polyphenol interactions, characterize gelatin from jellyfish by-products, and optimize plant protein emulsifying properties. Keywords include Food Science, Food Chemistry , and Biotechnology , with subfields spanning bioactive peptides, rheological properties, and sustainable processing . Projects : Casanova contributes to active initiatives like seaweed-derived bioactives (2025–2027) and SUSTAIN-A-BITE (2025–2028), alongside supervising PhD students investigating dairy proteins and insect-based ingredients. He also serves as an editor for International Journal of Biological Macromolecules (2025–2027). External Roles : Junior Project Leader at Nestlé Purina (2017–2018), Engineer at CNRS's Soft Matter Group (2010–2014). Teaching : Delivered guest lectures on food proteins and sustainable food systems at universities globally.