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Marco VeneroniView profile

Associate Professor

• Partial differential equations
• Calculus of variations
• Liquid crystals
• +18 more

Marco Veneroni is Associate Professor at the Department of Mathematics , University of Pavia . His research spans multiple fields including Partial Differential Equations , Calculus of Variations , and Optimal Transportation , with applications to materials science, biology, and engineering. Specializes in gradient flows and Wasserstein metrics for imaging and chemical processes Contributes to stochastic homogenization and elasto-plasticity models Research includes nematic liquid crystals , diblock copolymers , and cardiac electric field modeling Veneroni teaches courses like Mathematical Analysis and Advanced Mathematical Methods . He has supervised numerous students through tutoring programs and pre-course initiatives . His work involves collaborations across McGill University , TU Dortmund , and Università degli Studi di Pavia .

• clinical behavior analysis
• adolescent and young adult mental health
• implementation science
• +3 more

Dr. Sabrina Darrow is a Professor and licensed psychologist in the Department of Psychiatry and Behavioral Sciences at the University of California, San Francisco (UCSF) School of Medicine, affiliated with the UCSF Weill Institute for Neurosciences. She directs the Wavefront program, which provides evidence-based treatment, training, and research to improve emotion regulation for young people impacted by mood, anxiety, suicide, trauma, and OC-related disorders. Dr. Darrow also leads a collaboration with San Francisco County's Child, Youth and Family System of Care to implement and evaluate Dialectical Behavior Therapy for Adolescents in the public mental health system. Dr. Darrow obtained her Bachelor of Arts in Psychology and Doctorate in Clinical Psychology from the University of Nevada, Reno, completing her internship at the Southern Arizona Veterans Health Care System and postdoctoral studies, including the T32 Clinical Services Research Training Program, at UCSF. Her primary research interests center on clinical behavior analysis with specific focus on adolescent and young adult mental health. Dr. Darrow's work explores the clinical utility of assessments, mechanisms of action in psychotherapy, and implementation science, particularly in the context of digital health interventions. She has developed significant expertise in Dialectical Behavior Therapy for Adolescents (DBT-A) and its application for youth struggling with depression, anxiety, and suicide. Her research demonstrates a strong commitment to bridging the gap between research and clinical practice to improve real-world mental health services for vulnerable youth populations. Dr. Darrow's publication record shows a clear trajectory toward digital mental health solutions, particularly text messaging interventions for adolescent depression and suicide prevention. Her recent work demonstrates increasing focus on implementation science, cross-cultural adaptation of evidence-based treatments, and the development of digital tools to enhance traditional therapeutic approaches. The publications reveal consistent collaboration with key researchers in adolescent mental health, with growing emphasis on community implementation and real-world effectiveness. Dr. Darrow has secured significant research funding as Principal Investigator for projects including 'Gathering stakeholder perspectives and modeling emotion regulation to predict youth suicidal behavior' (American Foundation for Suicide Prevention), 'Getting parents what they need, when they need it' (UCSF CTSI/NCATS RAP), and 'Let's Text! Improving Engagement in Depression Services for Diverse Teens' (UCSF RAP Digital Mental Health Award). She serves as clinician within the Dialectical Behavior Therapy Program for Adolescents and Young Adults and supervises trainees' clinical work with youth. Her Wavefront program integrates treatment, research, and training to address critical gaps in mental health services for youth.

Daniel HuttenlocherView profile

Professor

• Computer Vision
• Social Networks
• Autonomous Vehicles
• +4 more

Daniel Huttenlocher is the John P. and Rilla Neafsey Professor of Computing, Information Science, and Business at Cornell University, where he serves as Dean of Computing and Information Science. Concurrently, he holds the position of Dean at MIT's Stephen A. Schwarzman College of Computing and is Vice Provost of Cornell Tech. His academic roles span Cornell's Computer Science Department and Johnson Graduate School of Management. Huttenlocher's research encompasses diverse domains including computer vision (image matching, object recognition, video analysis), social networks (governance models, link prediction, community dynamics), autonomous systems (DARPA Urban Challenge), geometric algorithms , and interactive document systems . His work bridges theoretical algorithms and practical applications, with recent advancements in structured models for visual recognition and large-scale network analysis. His publications (2010-2006) demonstrate a consistent focus on algorithmic innovation in computer vision and social computing. Recent works emphasize real-world applications like location recognition, social media governance, and image restoration, employing machine learning, probabilistic modeling, and large-scale data mining techniques across diverse visual and network datasets. While no awards are listed, Huttenlocher co-chaired major conferences (CVPR 2006/2009) and serves on the MacArthur Foundation Board. He has developed educational tools like the CoNote annotation system to foster collaborative learning and chaired Cornell's computing initiatives leading to the Faculty of Computing and Information Science.

Joanna TomasikView profile

Researcher

• Discrete optimization
• Algorithms
• Complexity theory
• +1 more

Joanna Tomasik is a researcher affiliated with the Interdisciplinary Laboratory of Digital Sciences. Her work focuses on discrete optimization, algorithms, complexity theory, and performance evaluation. Research interests include network optimization, quantum computing applications, cloud energy efficiency, and combinatorial problem-solving. She has contributed to areas like simulated annealing, Latin hypercube designs, and optical network performance. Her publications reveal a trend toward algorithmic innovation, particularly in wireless and ad hoc networks, cloud computing, and quantum annealing. Topics span resource allocation, congestion control, and energy-aware scheduling.

• Mathematics of consciousness
• Neuromorphic information processing
• Network theory
• +7 more

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 HeinleinView profile

Assistant Professor

• Numerical methods for partial differential equations
• Scientific computing
• Domain decomposition methods
• +6 more

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 CameronView profile

Professor

• Public Health
• Epidemiology
• Food Environments
• +5 more

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
• +6 more

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 MitoulisView profile

Associate Professor

• Infrastructure Resilience
• Sustainable Construction
• Digital Transformation of Built Environment
• +5 more

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 ConradView profile

Researcher

• Agent-Based Modeling
• Stochastic Processes
• Network Analysis
• +7 more

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
• +9 more

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
• +3 more

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 SchwarzenbergerView profile

Professor

• Mathematical Statistics
• Probability Theory
• Stochastic Models
• +4 more

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
• +4 more

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
• +6 more

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.