جست‌وجوی استاد و پژوهشگر

• Mathematics of consciousness
• Neuromorphic information processing
• Network theory
• +۷ مورد دیگر

Professor Peter Grindrod holds a faculty position at the Mathematical Institute, University of Oxford, where he leads research in applied mathematics with focus on neuromorphic computing and network theory. His affiliations include the Machine Learning and Data Science research group and the Oxford Centre for Industrial and Applied Mathematics. Research interests span mathematics of consciousness, neuromorphic information processing, network theory, and digital marketing. His innovative work on cortex simulations via Kuramoto-type models enables laptop-based simulations of neural columns instead of computationally expensive full-brain models. He investigates AI's inner workings, particularly how layer-by-layer topology explains vulnerability to adversarial attacks. His 15 most recent publications (2018-2025) reveal strong focus on consciousness modeling (27%), network dynamics (33%), and AI/neuromorphic computing (40%). Key trends include mathematical consciousness frameworks, sparse network modeling for brain simulation, and topology-based analysis of neural networks. CBE honor Grindrod leads significant research strategy initiatives, focusing on unconventional and high-risk research funding. He has secured substantial grants through his roles on EPSRC Council and RCUK Digital Economy programme. His commercial ventures include Hare Analytics, GTTA Limited, and CountingLab, demonstrating strong industry-academia knowledge exchange. He directs the Oxford Centre for Industrial and Applied Mathematics, overseeing collaborations between academic researchers and industry partners in energy, telecommunications, and digital marketing sectors.

Alexander Heinleinمشاهده پروفایل

استادیار

• Numerical methods for partial differential equations
• Scientific computing
• Domain decomposition methods
• +۶ مورد دیگر

Dr. Alexander Heinlein is an Assistant Professor in the Numerical Analysis group at the Delft Institute of Applied Mathematics (DIAM), Faculty of Electrical Engineering, Mathematics & Computer Science (EEMCS), Delft University of Technology (TU Delft). His work bridges scientific computing and machine learning through scientific machine learning (SciML) , focusing on domain decomposition methods and multiscale approaches for solving complex partial differential equations on modern hardware like GPUs. Research interests include: Developing high-performance computing algorithms for nonlinear PDEs with applications in fluid-structure interaction and photonic crystals Advancing physics-aware machine learning techniques for groundwater heat transport and post-burn contraction prediction Creating parallel preconditioners like FROSch for challenging problems in computational mechanics Building hybrid numerical-ML frameworks with domain decomposition for multi-physics applications His recent publications highlight a 128-235x speedup in biomedical simulations through deep operator networks , and keynote presentations on geometric challenges in machine learning-based surrogate models at international conferences like CASML 2024. Scientific awards include: 2025 NWO Open Technology Programme grant for the RAPID-Wind project on offshore wind turbine foundations Students and collaborations involve: Yuhuang Meng (PhD candidate, 2024) Jing Zhao (co-supervisor) Prof. Jun Zou (Chinese University of Hong Kong collaboration, 2024) He leads software development for COMSOL and Trilinos extensions while maintaining open-source reproducibility standards.

Adrian Cameronمشاهده پروفایل

استاد

• Public Health
• Epidemiology
• Food Environments
• +۵ مورد دیگر

Professor Adrian Cameron is Associate Director of the Global Centre for Preventive Health and Nutrition (GLOBE) at Deakin University and Director of the RE-FRESH: Next Generation NHMRC Centre of Research Excellence in Food Retail Environments for Health. He serves as Deputy Associate Head of School (Research) in the School of Health and Social Development and leads the retail module for the INFORMAS network. His work focuses on creating evidence to transform food retail environments to promote healthier diets and reduce diet-related chronic conditions. His educational background includes a PhD from Monash University (2009), Graduate Diploma in International Health from Monash University (2003), Master of Public Health from the University of Melbourne (1999), and Bachelor of Science (Honors) from the University of Melbourne (1997). He also served as an Australian Youth Ambassador for Development with ICDDR,B in Dhaka, Bangladesh (2004-2005). Professor Cameron's research centers on food environments, obesity prevention, and public health policy. He employs systems thinking approaches to understand how retail food environments influence dietary behaviors and population health outcomes. His work spans local, national, and international contexts, with particular focus on digital food environments, supermarket interventions, and policy evaluation. He leads the International Food Policy Study in Australia and contributes to global food environment monitoring through INFORMAS. His recent research output shows a strong focus on digital food environments, unhealthy food marketing (particularly to children), cross-national policy comparisons, and evaluation of interventions to improve food retail environments. His work increasingly examines the intersection of digital platforms and food retail, as well as the implementation challenges of healthy food policies across different settings. Heart Foundation Future Leader Fellow (2021-2025) Australian representative for the International Food Policy Study Leader of the retail module for INFORMAS (International Network for Food and Obesity/non-communicable diseases Research, Monitoring and Action Support) As Director of RE-FRESH: Next Generation, Professor Cameron leads a major NHMRC-funded Centre of Research Excellence involving multiple Australian and international partners including Deakin University, Monash University, The George Institute for Global Health, and the University of Auckland. His work involves close collaboration with government agencies, non-government organizations, and industry stakeholders to translate research into policy and practice. He has secured significant funding for projects examining food retail environments, particularly in sporting facilities, supermarkets, and digital platforms. Professor Cameron is embedded within Deakin University's Institute for Health Transformation and works closely with GLOBE (Global Centre for Preventive Health and Nutrition), which functions as a WHO Collaborating Centre for Obesity Prevention. His research team collaborates with the Food for Health Alliance and numerous government agencies to influence food policy at multiple levels. His work with the STICKE platform demonstrates his commitment to systems thinking approaches for complex public health challenges.

• Game Studies
• Computer Science Education
• Video Game Ethics
• +۶ مورد دیگر

Pawel Grabarczyk serves as Associate Professor at IT University of Copenhagen, leading the Play, Culture, and AI research group within the Games Research Group. He maintains dual affiliations with the Center for Computing Education Research and the Center for Digital Play, reflecting his interdisciplinary work spanning game studies and computing education. His research interests form a unique intersection of game studies, critical theory, and computing education. Grabarczyk applies frameworks like Actor-Network Theory (ANT) and Science & Technology Studies (STS) to analyze video game design, particularly focusing on loot boxes and gambling-like mechanics. His work on gender diversity in computing education has demonstrated that programs emphasizing people rather than technical aspects appeal more to women, with significant implications for recruitment and curriculum design. Analysis of his 41 publications reveals consistent thematic threads across his career. Early work focused on game design and critical theory, while more recent publications address sustainability in gaming through the Nordic Alliance for Sustainability in Gaming projects. His computing education research shows increasing attention to onboarding strategies for students lacking programming confidence, with practical implications for reducing dropout rates. Grabarczyk has secured substantial research funding through multiple projects, including the European Commission-funded MSG (Making Sense of Games) project (2016-2022) and the Nordic Alliance for Sustainability in Gaming series (2021-2024). His work has generated significant media attention in Denmark, with coverage on topics ranging from addressing fake news through games to improving gender balance in the IT industry. As Head of the Play, Culture, and AI research group, he directs a team examining how artificial intelligence intersects with play and cultural practices. His research bridges academic inquiry with practical applications, evidenced by collaborations with game developers and educators seeking to implement his findings on inclusive computing education and ethical game design.

Stergios-Aristoteles Mitoulisمشاهده پروفایل

دانشیار

• Infrastructure Resilience
• Sustainable Construction
• Digital Transformation of Built Environment
• +۵ مورد دیگر

Stergios-Aristoteles Mitoulis serves as Associate Professor in Engineering and Project Management at University College London's Bartlett School of Sustainable Construction. A Chartered Engineer (CEng MICE) with memberships in ASCE, EAEE, IABSE and FHEA, he directs the MetaInfrastructure.org and BridgeUkraine.org initiatives while coordinating major EU-funded projects including ZEBAI (€5M), RISKADAPT (€2.5M), and PORTAL (€1.8M). His research centers on three pillars: (1) threat-agnostic resilience frameworks for infrastructure under cascading risks; (2) AI-driven decision systems integrating remote sensing and digital twins; and (3) sustainable retrofitting of transport assets using recycled materials. With over £8 million in research funding from UKRI and Horizon Europe, his work directly informs Eurocode standards and national infrastructure policies. Analysis of his recent publications reveals strong emphasis on multi-hazard fragility modeling (particularly bridges), AI-enabled damage identification, and climate-resilient transport networks. His work consistently bridges theoretical innovation with practical implementation, evidenced by 20+ peer-reviewed papers in 2024-2025 alone spanning reliability engineering, structural safety, and sustainable development. Thorpe Medal for outstanding engineering research IStructE Research Award for infrastructure innovation Editor-in-Chief of ICE Journal of Bridge Engineering Regular contributor to Eurocode standardisation committees Mitoulis actively supervises 40+ doctoral and postdoctoral researchers across 10+ international projects. His REF2029 Impact Case Study focuses on digital technologies for infrastructure resilience, while his £8M+ grant portfolio includes major collaborations with Ukrainian institutions through bridgeUkraine.org. He leads the MetaInfrastructure research group developing counterfactual engineering approaches for the metaCity concept, with recent media coverage by BBC on conflict-damaged infrastructure recovery. The MetaInfrastructure team operates through dedicated labs for digital twin development, AI/ML applications, and sustainable materials testing. Current initiatives include the PORTAL project for AI-driven infrastructure monitoring and ReCharged for circular economy in transport networks. Mitoulis' educational contributions feature a FutureLearn MOOC on critical infrastructure resilience and CPD training for ICE professionals.

Nataša Djurdjevac Conradمشاهده پروفایل

پژوهشگر

• Agent-Based Modeling
• Stochastic Processes
• Network Analysis
• +۷ مورد دیگر

Dr. Nataša Djurdjevac Conrad is the Head of the 'Computational Humanities' research group and Deputy Head of the Modeling and Simulation of Complex Processes department at the Zuse Institute Berlin (ZIB) since 2022. Her work bridges mathematics, archaeology, and social science through data-driven modeling of spatio-temporal processes. Research Focus : Modeling opinion dynamics, innovation dissemination (e.g., Roman road activation in ancient Tunisia), and epidemic spreading (MODUS-COVID project). Methodologies : Expertise in agent-based models (ABMs), stochastic metapopulation models, ODE/SDE compartmental models, and network analysis techniques like Galerkin projection and random-walk-based clustering. Awards : 'Paper of the Semester' award (2023) by MATH+ Activity Group 'Mathematics of Data Science' Corresponding member of the German Archaeological Institute (DAI) since 2022 Projects : Leads interdisciplinary work on cultural dispersion, epidemic policy design, and ancient innovation spreading.

• Computer Science
• Artificial Intelligence
• Machine Learning
• +۹ مورد دیگر

Prof. Dr. Hayri Sever is a full-time faculty member at Çankaya University, Department of Computer Engineering, since 2018. He previously held professorship roles at Hacettepe University (1997-2018), University of Massachusetts Amherst (2000-2002), and Başkent University (2003-2007). His academic journey includes a PhD in Computer Science from the University of Louisiana at Lafayette (1995), a Master's from the University of Maine (1991), and a BSc in Computer Engineering from Hacettepe University (1987). Education: PhD (1995), Computer Science, University of Louisiana at Lafayette MS (1991), Computer Science, University of Maine BSc (1987), Computer Engineering, Hacettepe University Prof. Sever's research spans Artificial Intelligence, Data Mining, Natural Language Processing, Cybersecurity, and Machine Learning . His recent work focuses on applications in violence detection in videos, sentiment analysis, blockchain security, medical decision support systems, and Turkish language processing. He has supervised over 40 graduate students in topics ranging from deep learning to blockchain and IoT security. His 15 most recent publications (2019-2024) highlight expertise in deep learning for video analysis , blockchain reputation systems , 3D CNN applications , and sentiment analysis in Turkish/Arabic . Collaborations include institutions like Hacettepe University, University of Massachusetts, and international projects funded by TÜBİTAK, UNESCO, and the UN. He has led projects such as "KGYS: Smart Support Software Development" and "DiCoMa: Disaster Control Management" , with roles as researcher, coordinator, and advisor. Professional memberships include IEEE (2005-), ACM (2002-), and Tübitak (2005-).

• Health Economics
• Public Health
• Discrete Choice Experiments
• +۳ مورد دیگر

Dr. Jody Church is a Senior Research Fellow at the Centre for Health Economics Research and Evaluation (CHERE) within the Faculty of Health at the University of Technology Sydney . Her research focuses on health economics with expertise in: Economic evaluations for clinical interventions Discrete choice experiments (DCE) Applied econometrics Health technology assessment Obesity economics Preconception health policy Key funded projects include: NHMRC Project Grant APP1138403 for family-based obesity prevention MRFF Primary Health Care Research Initiative for rural contraception access Commonwealth Department of Health for health technology assessment processes

Fabian Schwarzenbergerمشاهده پروفایل

استاد

• Mathematical Statistics
• Probability Theory
• Stochastic Models
• +۴ مورد دیگر

Fabian Schwarzenberger is a Professor in the Department of Mathematics within the Faculty of Computer Science/Mathematics at Dresden University of Applied Sciences (HTW Dresden). He teaches a comprehensive range of mathematical and statistical courses across multiple degree programs including Computer Science, Applied Computer Science (with specializations in Data Science and Business Information Systems), Business Information Systems, Media Informatics, and Industrial Engineering. His research interests span Mathematical Statistics, Probability Theory, and Stochastic Models, with particular expertise in Ergodic Theory and applications to mathematical physics. Professor Schwarzenberger has developed extensive teaching materials for statistics education, particularly focusing on practical implementation using R programming language for data analysis. His course materials cover descriptive statistics, probability theory, and inductive statistics with numerous practical exercises involving CSV, TXT, and Excel file processing. The analysis of his 15 most recent publications reveals a dual research focus: theoretical mathematical work on integrated density of states, ergodic theorems, and group theory applications, alongside applied medical and dental research involving statistical analysis of clinical data. This interdisciplinary approach demonstrates his ability to apply advanced statistical methods across diverse fields from mathematical physics to healthcare outcomes. Professor Schwarzenberger actively teaches core mathematics and statistics courses including Mathematics I & II, Stochastics, Statistics, and specialized courses in Mathematical-Stochastic Models, Multidimensional Data Analysis, and Statistical Learning Methods. His teaching emphasizes practical implementation of statistical methods using R, with detailed instructions on data import, manipulation, and visualization techniques for various file formats.

• mathematics of sea ice
• composite materials
• polar ecology
• +۴ مورد دیگر

Ken Golden is a Distinguished Professor of Mathematics and Adjunct Professor of Biomedical Engineering at the University of Utah. His academic career spans over three decades at the University of Utah, where he was promoted from Associate Professor (1991-1996) to Professor (1996-2017) and finally to Distinguished Professor (2017-present). He also holds an adjunct appointment in Biomedical Engineering since 2007. Golden's research focuses on the mathematics of sea ice , composite materials , polar ecology , statistical physics , and remote sensing . His work bridges pure mathematics with practical applications in climate science, having conducted 19 polar expeditions to gather data that inform sea ice models. His interdisciplinary approach has led to significant contributions in understanding the complex physics of polar regions, particularly through advanced mathematical techniques like homogenization theory and spectral analysis. Analysis of Golden's recent publications reveals a consistent focus on mathematical modeling of sea ice processes at multiple scales. His work demonstrates increasing sophistication in connecting microscopic sea ice structures to macroscopic climate-relevant properties, with particular attention to phase transitions, thermal transport, and the effects of melt pond geometry. The publications show strong interdisciplinary collaboration across mathematics, physics, and climate science. Golden has received numerous prestigious honors including: Inaugural Fellow of the American Mathematical Society Fellow of the Society for Industrial and Applied Mathematics (cited for 'extraordinary interdisciplinary work on the mathematics of sea ice') Fellow of the Electromagnetics Academy Fellow of the Explorers Club (joining members like Neil Armstrong and Jane Goodall) Golden has secured substantial research funding from organizations including the National Science Foundation and the Office of Naval Research. His grant portfolio spans topics from sea ice physics to composite materials, demonstrating the breadth and impact of his research. He has mentored numerous PhD students through thesis research courses and is recognized for excellence in teaching and science communication, having delivered over 500 invited lectures across six continents including four presentations to the U.S. Congress.

• Computational Physics
• Materials Science
• Social Network Analysis
• +۶ مورد دیگر

Marco Buongiorno Nardelli is a University Distinguished Research Professor in the Department of Physics at the University of North Texas. He is affiliated with the Initiative for Advanced Research in Technology and the Arts (iARTA) and the Center for Experimental Music and Intermedia (CEMI). His work bridges computational physics, materials science, and artistic research through concepts like "music as data, data as music." His research spans: Design of novel materials for renewable energy and nanoelectronics Advanced electronic structure theories Complex systems and social network dynamics Topological data analysis and quantum walks Music theory and computational media art His recent publications focus on opinion dynamics, network science, and interdisciplinary applications of physics to social and biological systems, showing strong connections between computational methods and real-world phenomena. Scientific recognition includes: Fellow of the American Physical Society Fellow of the Institute of Physics His interdisciplinary approach has influenced both scientific and artistic communities through collaborations with iARTA, CEMI, and Parma Recordings, while his research integrates materials genomics, social dynamics, and data ethics.

• Age Related Hearing Loss
• Sudden Sensorineural Hearing Loss
• Recurrent Acute Otitis Media
• +۴ مورد دیگر

Desmond A. Nunez is a Professor in the Department of Surgery at the University of British Columbia's Faculty of Medicine and an Active Staff member at Vancouver General Hospital (Vancouver Coastal Health). His clinical practice focuses on Otology and Neurotology within the Otolaryngology – Head and Neck Surgery division. His primary research investigates Age Related Hearing Loss , Sudden Sensorineural Hearing Loss , and Recurrent Acute Otitis Media through molecular and clinical approaches. Key methodologies include microRNA biomarker analysis , randomized controlled trials , and cellular studies of inner ear pathogenesis . Recent work explores virtual reality applications for vestibular rehabilitation and motivational interviewing techniques to improve hearing aid adoption. Analysis of his 2022-2025 publications reveals three dominant research trajectories: (1) molecular mechanisms of hearing loss involving oxidative stress and miRNA regulation, (2) clinical innovation in otitis media management and bone conduction devices, and (3) behavioral interventions for hearing rehabilitation. His work bridges basic science with direct clinical applications in audiology. As a member of UBC's Graduate and Postdoctoral Studies program, Dr. Nunez supervises students in Experimental Medicine and Surgery degree programs. He maintains an honorary affiliation as Reader in Otolaryngology at the University of Bristol and actively seeks interdisciplinary collaborations in clinical and translational research.

Haesun Parkمشاهده پروفایل

استاد

• Data analysis
• Visual analytics
• Numerical computing
• +۴ مورد دیگر

Dr. Haesun Park is a Regents' Professor and Chair in the School of Computational Science and Engineering at Georgia Institute of Technology, Atlanta, Georgia. She has held this position since August 2020, after becoming a Regents' Professor in July 2019 and a Professor since July 2005. Prior to joining Georgia Tech, she served as a Professor in the Department of Computer Science and Engineering at the University of Minnesota from 1987 to 2005 (Assistant Professor 1987-1993, Associate Professor 1993-1998, Professor 1998-2005) and as a Program Director at the National Science Foundation from 2003-2005. Education: Ph.D. in Computer Science (minor: Mathematics), Cornell University, 1987 M.S. in Computer Science, Cornell University, 1985 B.S. (Summa Cum Laude) in Mathematics, Seoul National University, 1981 (with Presidential Medal for top graduate) Dr. Park's research spans multiple domains within computational science, with particular focus on data analysis, visual analytics, numerical computing, text mining, social media mining, parallel computing, and bioinformatics. Her work integrates mathematical foundations with practical applications across various fields, developing innovative algorithms for large-scale data analysis. She has made significant contributions to nonnegative matrix factorization techniques and their applications in diverse domains including healthcare, social media analysis, and scientific computing. Her recent publication trends show a strong focus on parallel and distributed implementations of matrix factorization algorithms, applications in healthcare data analysis (particularly patient profiling and clustering), and development of scalable frameworks for handling large-scale datasets. The work demonstrates increasing interdisciplinary collaboration, especially with medical researchers, and a growing emphasis on practical implementations that can handle real-world data challenges. Scientific Awards: SIAM Fellow (2013) IEEE Fellow (2016) ACM Fellow (2020) Dr. Park has held significant leadership roles including Executive Director of the Center for Data Analytics (2013-2015) and Director of the NSF/DHS FODAVA-Lead Center (2008-2014). She has served as conference co-chair for the SIAM International Conference on Data Mining in 2008 and 2009, and as an editorial board member for leading journals including IEEE Transactions on Pattern Analysis and Machine Intelligence, SIAM Journal on Matrix Analysis and Applications, and SIAM Journal on Scientific Computing. She has been a plenary keynote speaker at major international conferences including SIAM Conference on Applied Linear Algebra in 1997 and 2015, and SIAM International Conference on Data Mining in 2011. Dr. Park is affiliated with multiple research centers at Georgia Tech including the Algorithms and Randomness Center (ARC) and the Institute for Data Engineering and Science (IDEaS). She has maintained a long-term collaboration with the Korea Institute for Advanced Study (KIAS) as a KIAS Scholar from 2008-2018, demonstrating her international research impact.

• AI Explainability
• AI Transparency
• Web Science
• +۳ مورد دیگر

Marco Brambilla is a Full Professor of Computer Science and Engineering at Politecnico di Milano, Italy. He leads the Data Science Lab within the DEIB (Department of Electronics, Information and Bioengineering) and serves as director of the Computer Science and Engineering B.Sc. and M.Sc. curricula at the university. His research focuses on AI Explainability and Transparency , Web Science , Big Data Analysis , Social Media Analytics , and Model-driven Development . He is the co-inventor of the Interaction Flow Modeling Language (IFML) standard by the OMG and holds 2 patents on crowdsourcing and multi-domain search. His recent scholarly work demonstrates expertise across multiple domains of computer science, with particular emphasis on graph-based RAG architectures for energy efficiency, human-AI interaction studies, and interpretable network visualizations for CNN-based image classification. His publications show a consistent focus on practical applications of theoretical computer science concepts. Co-inventor of IFML standard by OMG 2 patents on crowdsourcing and multi-domain search GSE Academic Award for Excellence for correlating twitter sentiment analysis and stock price variations Author of multiple books including Model Driven Engineering in Practice , Web Information Retrieval , and Model-Driven UI Engineering of Web and Mobile Apps with IFML Professor Brambilla has been involved in the creation of four startups: WebRatio, Servitly, Fluxedo, and Quantia. He teaches Enterprise ICT Architectures, Systems and Methods for Big and Unstructured Data, Web Science, Digital Innovation Lab, and Model-driven Engineering courses. His Data Science Lab at Politecnico di Milano drives research in multiple cutting-edge areas of computer science and AI.

Mauricio Alejandro Matus Lópezمشاهده پروفایل

عضو هیئت علمی

• Economic History
• Health Economics
• Long-Term Care Systems
• +۳ مورد دیگر

Mauricio Alejandro Matus López is a Profesor Titular (Associate Professor) at the Department of Economy, Quantitative Methods and Economic History, Universidad Pablo de Olavide (Seville, Spain). He serves in the Centro Interdisciplinar de Estudios Feministas and leads the ECOECOFEM research group focused on ecological and feminist economics. PhD in Economics from Universidad de Málaga (thesis: Análisis de bienestar social en Chile 1990-1998 ) Verified ResearchGate profile (https://www.researchgate.net/profile/Mauricio-Matus-Lopez) His research spans Economic History of Health Systems , Feminist Economics , Long-Term Care Systems , and Public Policy Analysis in Latin America. Current projects examine Historical development of public health systems in middle-income Latin American countries across the 20th and 21st centuries. Recent publications focus on healthcare transformation in Latin America (hospital infrastructure, medical workforce evolution, and expenditure analysis from 1960-2022), gender analysis in health systems, and long-term care policy development in Costa Rica and Chile. His work employs comparative historical analysis and quantitative modeling approaches. Teaching Excellence Award 2023, Universidad Pablo de Olavide Teaching Excellence Award 2017, Universidad Pablo de Olavide His academic activities include collaboration with GEP&DO Observatory and participation in studies about fiscal space for health, gender barriers in academia, and policy development for aging populations. Contact: mmatlop@upo.es