جست‌وجوی استاد و پژوهشگر

Kayla Kingمشاهده پروفایل

استاد

• Host-Pathogen Interactions
• Climate Change Biology
• Evolutionary Ecology
• +۳ مورد دیگر

Kayla King is a Professor in the Departments of Zoology and Microbiology & Immunology at the University of British Columbia (UBC) and holds a Professorial Fellowship at the University of Oxford. Her research focuses on the contemporary ecology and evolution of host-pathogen/parasite interactions, integrating experimental evolution, comparative genomics, and field studies. Key research interests include climate change impacts on pathogen virulence, biodiversity loss effects on disease dynamics, and the evolutionary consequences of host jumps. She investigates microbial diversity, symbiosis, and the interplay between environmental stressors and host immunity. Education Affiliations: University of British Columbia (UBC) University of Oxford (as Professorial Fellow) Research Interests: Dr. King’s work spans microbial ecology, evolutionary theory, and environmental change. She explores how warming temperatures and habitat fragmentation influence pathogen transmission and host resistance. Her team uses experimental systems to study virulence evolution, microbiome functions, and the ecological basis of disease emergence. Recent projects examine symbiotic relationships, stress responses in hosts, and the role of biodiversity in disease regulation. Lab & Collaborations: The King Lab operates across UBC and Oxford, focusing on interdisciplinary approaches to infectious disease dynamics. They collaborate on topics like protective microbiota, pathogen surveillance in wild animals, and applying evolutionary principles to disease control strategies. Awards: No specific awards listed in provided materials. Advising & Grants: While specific student names aren’t listed, the lab focuses on training researchers in experimental evolution and disease ecology. Funding sources include UBC’s Biodiversity Research Centre and academic excellence initiatives. Labs/Teams: King Lab (UBC Zoology & Microbiology & Immunology), part of the Biodiversity Research Centre’s collaborative network.

Don Chenمشاهده پروفایل

استاد

• Pavement Management Systems
• Building Information Modeling (BIM)
• Parametric Modeling and Visualization
• +۳ مورد دیگر

Don Chen is a Professor in the Department of Engineering Technology and Construction Management at the William States Lee College of Engineering, University of North Carolina at Charlotte, specializing in civil engineering technology and construction management. His research integrates advanced computational methods with infrastructure engineering to address critical challenges in transportation and construction systems. His educational background includes: Ph.D. in Civil Engineering, Iowa State University, Ames, IA, August 2006 M.S. in Civil Engineering, Iowa State University, Ames, IA, December 2002 B.S. in Civil Engineering, Tongji University, Shanghai, China, July 1992 Professor Chen's research focuses on Pavement Management Systems, Building Information Modeling (BIM), Parametric Modeling and Visualization, Accelerated Bridge Construction, and Deep Learning in Construction. His work develops innovative models for pavement performance prediction, BIM-based energy optimization, and construction process visualization, significantly advancing infrastructure management and sustainable construction practices through data-driven approaches and computational intelligence. His scientific recognition includes: LEED AP (Leadership in Energy and Environmental Design Accredited Professional) since June 2009 Autodesk Certified Professional: Revit Architecture (2018 to present) Professor Chen has secured substantial research funding as Principal Investigator (PI) and Co-PI on multiple grants, primarily from the North Carolina Department of Transportation (NCDOT) and buildingSMART International. His projects include "Development of Performance Curves for Composite Pavements in PMS" (NCDOT, 2015-2017), "Setting Appropriate Benefit/Condition Jumps for Pavement Treatments in PMS" (NCDOT, 2015-2017), "Evaluation of Benefit Weight Factors and Decision Trees for Automated Distress Data Models" (NCDOT, 2014-2016), and "Generating Construction Schedules Using OPEN BIM" (buildingSMART International, 2013). His scholarship of teaching and learning grant developed the Project-Based Integrated Work/Review Cycle (PBIWR) for accelerated construction education. He actively integrates BIM and deep learning technologies into construction engineering curricula and industry practices, developing frameworks for fenestration systems and energy-efficient building design while advancing pavement management methodologies through sophisticated performance modeling.

Silke Rollesمشاهده پروفایل

استاد

• Probability Theory
• Random Processes in Random Environments
• Statistical Mechanics
• +۲ مورد دیگر

Prof. Dr. Silke Rolles is a Professor of Probability Theory at the Technical University of Munich (TUM) , specifically within the TUM School of Computation, Information and Technology. She has held this position since 2006 and previously held academic roles at the University of California, Los Angeles, the University of Zurich, and the Technical University of Eindhoven. Her research focuses on probability theory , particularly reinforced random processes , random processes in random environments , and statistical mechanics . Her recent work explores lattice Coulomb gas, supersymmetric hyperbolic sigma models, and localization phenomena. She was awarded the 2017 Golden Circle Teaching Award and the 2004 Stochastics Section Dissertation Prize . She has co-organized workshops such as Women in Probability and Stochastic Reinforcement Processes, and serves as an associate editor for probability journals.

• Stochastic Control
• Backward Stochastic Differential Equations (BSDEs)
• Actuarial Science
• +۶ مورد دیگر

Anis Matoussi is a Professor of Applied Mathematics at Le Mans University and serves as the Director of the Institut du Risque et de l'Assurance du Mans. He coordinates the master's program in Actuarial Science and leads multiple research initiatives, including ANR DREAMeS (2021-2025) and ITCA (Groupama, Fondation du Risque). Role: Professor, Applied Mathematics Institution: Le Mans University Research Leadership: Director of Institut du Risque et de l'Assurance, Head of Master Actuarial Science His research focuses on stochastic control, backward stochastic differential equations (BSDEs), and their applications in finance, insurance, and energy systems. He has developed numerical methods for second-order BSDEs and studied stochastic nonlinear PDEs, maximum principles for SPDEs, and extended mean field control models. Recent projects include the application of deep learning to forward utilities via ergodic BSDEs and multivariate risk measures. Matoussi has supervised numerous PhD students, including current advisees Zakaria Bensa (industrial thesis with Natixis) and Lucas Da Silva (co-supervised with Caroline Hillairet). Former students like Achraf Tamtalini (Bank of America) and Jing Zhang (Fudan University) hold prominent positions globally. His work includes collaborations on smart grids, control of electrical systems, and robust utility maximization under uncertainty. Publications span journals in applied mathematics, optimization, probability, and financial mathematics, with recent emphasis on numerical schemes and probabilistic representations.

• Rehabilitation Biomechanics
• Neuromuscular Fatigue
• Dysfunctional Breathing
• +۵ مورد دیگر

Dr. Samantha Winter is a Reader in Rehabilitation Biomechanics at Loughborough University's College of Engineering, Design and Physical Sciences, affiliated with the National Centre for Sport and Exercise Medicine (NCSEM). Her work bridges clinical rehabilitation, sports performance, and evolutionary biomechanics, with a focus on dysfunctional breathing and neuromuscular fatigue. Education: First Class BSc in Sport and Exercise Sciences (University of Birmingham), MSc Kinesiology, Master's in Applied Statistics, PhD Kinesiology (Penn State University), Post-graduate Certificate in Teaching in Higher Education, BSc Mathematics (Open University) Her research explores the application of opto-electronic plethysmography (OEP) for diagnosing breathing disorders, complexity analysis in neuromuscular fatigue, and evolutionary ergonomics of hominin hand evolution. She leads externally funded projects on real-time OEP feedback systems and fatigue mechanisms. Recent publications highlight trends in Breathing Analysis , Neuromuscular Fatigue , and Evolutionary Ergonomics , utilizing advanced methodologies like time-series modeling, EMG, and motion capture. Key collaborations include studies on chronic ankle instability and prehistoric tool use efficiency. Scientific Recognition: Senior Fellow of the Higher Education Academy (SFHEA), 2019 She has influenced curriculum design and student support systems nationwide, with grants focused on breathing retraining and sports injury prevention. Her work intersects the Lifestyle for Health and Wellbeing and Sport Performance research groups.

Petros Dellaportasمشاهده پروفایل

استاد

• Bayesian Statistics
• Machine Learning
• Financial Econometrics
• +۷ مورد دیگر

Petros Dellaportas holds dual appointments as a Professor of Statistical Science at University College London (UCL) and a Professor of Statistics at the Athens University of Economics and Business (AUEB). His research focuses on Bayesian statistics, machine learning, financial econometrics, and dynamic pricing. He leads projects on topics such as Poisson processes for cybersecurity, reservoir computing for macroeconomic forecasting, and probabilistic fault detection in wind parks. His recent publications emphasize advancements in Bayesian methods, variational autoencoders, and spatio-temporal point processes. Dellaportas has supervised over 20 PhD students, contributing to areas like stochastic volatility models and inverse reinforcement learning. He co-founded Thales and Friends, an organization bridging mathematics and cultural activities, and organizes the Greek Stochastics workshop series on topics ranging from causal learning to computational statistics. Key projects include anomaly detection in VAT networks and scalable Gaussian process models. His work often integrates statistical theory with applications in finance, sports analytics, and environmental science. Dellaportas maintains active collaborations with institutions globally, advancing interdisciplinary research and methodological innovations in statistical science.

• Stochastic Processes
• Financial Volatility Modeling
• Machine Learning Applications
• +۵ مورد دیگر

Aerambamoorthy Thavaneswaran is a Professor in the Department of Statistics at the University of Manitoba , specializing in inference for stochastic processes and dynamic data science applications. His research bridges financial economics, machine learning, and fuzzy logic to develop innovative volatility models and trading strategies. University: University of Manitoba Department: Statistics Email: Aerambamoorthy.Thavaneswaran@umanitoba.ca Research Interests: His work focuses on neuro volatility models, financial network analysis, and fuzzy logic applications in portfolio optimization. Recent projects include hybrid deep learning architectures for cryptocurrency prediction and dynamic covariance modeling. Publications (2023-2025): His articles highlight advancements in volatility forecasting, algorithmic trading strategies, and neuro-fuzzy systems. Key topics include transformer networks for stock markets, adaptive fuzzy adjacency matrices, and Kalman filter integration for cryptocurrency trading.

• Political Economy
• Economic Growth
• Innovation Economics
• +۳ مورد دیگر

Rainer Andergassen is an Associate Professor in the Department of Economic Sciences at the University of Bologna. His research focuses on political economy, economic growth, innovation dynamics, and tourism economics. He holds a formal affiliation with the University of Bologna's Department of Economic Sciences and maintains an ORCID profile. His work bridges theoretical economic modeling with applied policy analysis, particularly in areas of innovation diffusion, structural change, and tourism destination management. Education details are not explicitly provided in the text, but his academic trajectory aligns with typical senior faculty roles. Research interests include intergenerational mobility, technological convergence, and public policy design for tourism sectors. His recent publications (2012-2021) explore topics like innovation networks, disaster mitigation economics, and fraudulent behavior in competitive markets. Dr. Andergassen's academic contributions span 20+ years with articles addressing: (1) innovation's role in economic growth through structural transformation, (2) strategic tourism destination management frameworks, and (3) behavioral economic factors influencing managerial fraud. His work frequently integrates mathematical modeling with real-world policy implications. No formal awards or grants are listed, though his extensive publication record indicates sustained research activity. He is available for consultations at his office (Piazza Scaravilli 2, Bologna) on Wednesdays at 11:30am.

Anke Wieseمشاهده پروفایل

دانشیار

• Stochastic Systems
• Stochastic Differential Equations
• Computational Finance
• +۳ مورد دیگر

Anke Wiese is an Associate Professor at the School of Mathematical & Computer Sciences, Heriot-Watt University, within the Actuarial Mathematics & Statistics department. Prior to her academic roles, she worked in risk management in the financial services industry and held positions at the University of Hamburg and the University of Karlsruhe (now KIT). She earned her PhD from the University of Karlsruhe, Germany. Her research focuses on stochastic systems, particularly developing methods for solving stochastic differential equations (SDEs) while preserving qualitative characteristics. Key areas include algebraic structures of SDEs, integration methods for SDEs with jumps, and applications in computational finance. She bridges mathematical disciplines such as stochastic analysis, algebra, and quantum stochastics. Recent publications explore Grassmannian flows in coagulation systems, integrable equations via Pöppe triples, and efficient inversion techniques in the Heston model. Her work emphasizes numerical methods, stochastic processes, and interdisciplinary applications. Dr. Wiese actively supervises PhD students and welcomes inquiries for doctoral applications. Her research has been published in journals like Physica D, SIAM Journal on Financial Mathematics, and the Proceedings of the Royal Society A.

David Searsمشاهده پروفایل

دانشیار

• Music Cognition
• Music Theory
• Computational Methods
• +۷ مورد دیگر

David Sears is an Associate Professor of Interdisciplinary Arts at Texas Tech University , affiliated with the J.T. & Margaret Talkington College of Visual & Performing Arts . He co-directs the Performing Arts Research Laboratory (PeARL) and coordinates the Bachelor of Arts in Interdisciplinary Arts Studies. Prior to TTU, he earned a PhD in Music Theory from the Schulich School of Music at McGill University (2016) and completed a postdoc at Johannes Kepler University (2017). Dr. Sears' research focuses on the structural parallels between music and language , particularly in tonal harmony, using behavioral and computational methods. His work also spans popular music analysis (e.g., 80s pop synthesizers, Billboard Hot 100 trends), music and emotion , DIY communities on platforms like Pinterest, and film/video game music (e.g., jump scares, autism spectrum emotion recognition). His publications appear in venues like Music Perception , Psychology of Music , and Quarterly Journal of Experimental Psychology . PeARL, where he is a director, employs methods from psychophysics , cognitive psychology, and music informatics to study music, theatre, dance, and visual arts. Current projects include modeling musical expectation , analyzing horror film soundtracks , and exploring DIY online communities . As a pedagogue, Dr. Sears teaches graduate seminars in the Fine Arts Doctoral Program and undergraduate/graduate music theory courses. His lab's recent graduates include Hannah Percival (2024) and Sylvia Weintraub (2024), with ongoing advising of PhD candidates like Elizabeth Acosta and Devin Guerrero.

Chad Heinsمشاهده پروفایل

دانشیار

• Biodiversity
• Biogeography
• Arachnology
• +۶ مورد دیگر

Chad Heins is an Associate Professor in the Department of Biology at Bethany Lutheran College, where he has been teaching since January 2000. His academic work is deeply rooted in field biology, with strong affiliations to biodiversity documentation projects through iNaturalist and BugGuide. His research interests center on biodiversity and biogeography , particularly in the context of spider species distribution across Minnesota and raptor migration patterns. He developed a preliminary checklist of Minnesota’s spiders due to the absence of a published list, becoming a regional expert in the process. He actively involves students in diverse research areas, including aquatic macroinvertebrates, reptiles, amphibians, plants, spiders, owls, and loons. The publications listed reflect his expertise in arachnology and ornithology, showing consistent contributions to state-level wildlife knowledge and ecological observations. His work bridges academic research with public science engagement. Scientific Awards: No awards listed. Prof. Heins mentors students through independent research and coursework, supporting a wide range of biological investigations. He coordinates the Bethany Hawkwatch, contributing valuable migration data to Hawkcount. His work is supported by collaborations with the Minnesota DNR and citizen science platforms. He leads research initiatives focused on biological inventories and ecological monitoring, including a project aggregating spider observations from iNaturalist for Minnesota. These efforts support conservation planning and taxonomic clarity.

• Sports Training
• Basketball Performance Analysis
• Application of Modern Training Technology
• +۵ مورد دیگر

Nenad Trunić is a Part-Time Lecturer at the Faculty of Physical Culture and Sports Management , Singidunum University . With a background in physical education and sports science, he specializes in modern training technology in basketball, talent selection, and youth athlete development. His career spans professional basketball as a player, coach, and technical director across global leagues. B.Sc., M.Sc., and Ph.D. in Physical Education and Sports from University of Belgrade and Karic Brothers University His research focuses on: Application of advanced training technology in sports performance Talent identification and selection processes in elite basketball Physical and psychological development of young athletes Comparative studies on basketball formats (3x3 vs 5x5) Post-COVID athlete recovery and physiological assessments Recent publications highlight trends in: Biomechanical analysis using local positioning systems Position-specific physical capacity testing Psychological profiling of basketball players Metabolic characteristics in active individuals Professional roles include: Technical Director and Coordinator for youth categories in Iran Basketball Federation FIBA Europe Coaching Instructor since 2011 Coach for multiple international basketball clubs (Italy, Turkey, Switzerland, etc.) Scouting consultant for Sacramento Kings (2005-2008)

• Mathematical Finance
• Stochastic Processes
• Energy Markets
• +۵ مورد دیگر

Sven Karbach is an Assistant Professor for Data-Driven Mathematical Modelling and Computing in Finance at the University of Amsterdam. He coordinates the Stochastics and Financial Mathematics Master Program and is affiliated with the Stochastics group at the Korteweg-de Vries Institute, Computational Science Lab (CSL) at the Informatics Institute, and the AI4Fintech initiative. Education: BSc Mathematics, University of Wuppertal (2013-2016) MSc Mathematics, University of Wuppertal (2016-2018) Doctor of Mathematics, University of Amsterdam (2018-2022) Research Focus: Robust finance methods in infinite-dimensional models Hedging and trading in energy markets Deep Spatio-Temporal Hedging for climate risk mitigation Stochastic volatility and covariance modeling Renewable energy market risk networks Recent Article Trends include applications of affine processes in Hilbert spaces, measure-valued CARMA models for energy markets, and spatio-temporal hedging techniques. His work bridges mathematical rigor with practical AI integration in fintech. Scientific Awards & Grants: Barmenia mathematics award (2017, 2019) Deutschlandstipendium (2015–2016, 2016–2018) €25,000 grant for 'Deep Spatio-Temporal Hedging' €35,000 joint grant with Simon Trimborn for 'Risk Networks of Renewable Energy Markets' Students include PhD candidates Diogo Sousa Franquinho and Konstantinos Chatziandreou. His research team explores advanced mathematical frameworks for sustainable energy finance.

Louis-Pierre Chaintronمشاهده پروفایل

پژوهشگر ارشد

• Probability Theory
• Stochastic Processes
• Optimal Transport
• +۱۲ مورد دیگر

Louis-Pierre Chaintron is a Research Fellow at the École Normale Supérieure de Paris (ENS-PSL), affiliated with the Department of Mathematics and Applications (ENS DMA). His work bridges probability theory, stochastic processes, and applied mathematics, with a focus on constrained measure-valued dynamics, stability analysis, and approximation methods. PhD supervised by Julien Reygner (CERMICS) and Philippe Moireau (Inria M3DISIM) from 2022–2024 Member of the Probability and Statistics research team at ENS DMA Teaching roles include assistant for PDE courses and organizer of applied mathematics workshops Research Interests : His research explores connections between mean-field theory , large deviations , and viscosity solutions for Hamilton-Jacobi equations. He investigates filtering theory in dynamic systems, optimal transport frameworks, and Schrödinger bridge problems for high-dimensional systems. Applications span diffusion models in machine learning, muscle contraction modeling , and non-linear estimation under constraints. Recent Publications analyze convergence rates in stochastic control, stability of Gibbs principles, and jump-diffusion formalisms for biological systems. His work often combines calculus of variations , stochastic control , and viscosity solutions to address stability and approximation challenges. Contact : Email: lchaintron@dma.ens.fr Office: Bureau C11, Espace Cartan, 45 Rue d'Ulm, Paris

• Evolutionary Biology
• Skeletal Morphology
• Biomechanics
• +۳ مورد دیگر

Campbell Rolian is an Adjunct Associate Professor at the University of Calgary , specializing in evolutionary biology and biomechanics. His research focuses on skeletal morphology, limb development, and the role of developmental mechanisms in evolutionary novelty. Email: cprolian@ucalgary.ca His work involves artificial selection experiments in mice to study evolutionary processes, particularly in bone growth , locomotor adaptation , and craniofacial development . Publications span topics like semicircular canal morphology, limb modularity, and feeding biomechanics in hominins. Recent trends in his research include: Using mouse models to simulate skeletal evolution Investigating bone repair physiology under selection Reconstructing locomotor behaviors from morphology Exploring the genomic basis of rapid evolutionary responses His contributions to databases like MusMorph provide standardized morphological datasets for meta-analyses, advancing studies in evolutionary developmental biology.