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Joanna AndersonView profile

Research Fellow

• Child and Adolescent Mental Health
• School-based Mental Health
• Early Identification of Mental Health Difficulties
• +3 more

Dr Joanna Anderson is a Senior Research Associate in the Department of Psychiatry at the University of Cambridge and a Chartered Psychologist specializing in clinical and neuropsychology. Since completing her PhD in 2004, she has integrated academic research with clinical practice focused on children and young people with special educational needs and disabilities. Her research centers on child and adolescent mental health through: School-based intervention development and evaluation Early identification systems for mental health difficulties Wellbeing program implementation in community settings Digital mental health technologies for personalized care She employs mixed-methods approaches to design complex interventions that improve access to mental healthcare and outcomes for young populations. Dr Anderson is affiliated with the Child and Adolescent Resilience and Mental Health (ChARM) research group and supervises PhD students, though no consultancy services are available. Her work bridges academic research with practical healthcare applications to address critical gaps in youth mental health support.

• Geomechanics
• Rock Deformation
• Subsidence Modeling
• +4 more

Dr. Peter Fokker is a Researcher at Utrecht University's Faculty of Geosciences, specifically within the Department of Earth Sciences and the Experimental Rock Deformation/HPT group. He is affiliated with the Research Programme in Earth Sciences Utrecht (DES/IVAU) and has been actively publishing in geomechanics, subsidence modeling, and induced seismicity for over three decades. His work primarily focuses on the application of geomechanical principles to understand and model subsurface processes related to resource extraction and geothermal energy. Dr. Fokker's research interests span several interconnected domains in geomechanics and subsurface engineering. His primary focus is on experimental rock deformation , studying how rocks behave under various stress conditions. He has made significant contributions to subsidence modeling , particularly in the context of gas field depletion in the Netherlands. His work on induced seismicity has helped understand the relationship between subsurface operations and seismic events. Additional interests include geothermal energy systems , reservoir engineering , and the application of data assimilation techniques to improve subsurface characterization. His research often bridges theoretical models with practical applications in energy resource management. An analysis of Dr. Fokker's recent publications (2020-2025) reveals a strong focus on practical applications of geomechanics to real-world challenges. His work increasingly integrates InSAR technology and data assimilation methods to monitor and model subsidence processes. There's a clear emphasis on geothermal energy applications , reflecting growing interest in sustainable energy solutions. His research also demonstrates a sophisticated approach to modeling complex reservoir behaviors across multiple scales, from laboratory experiments to field-scale operations. The interdisciplinary nature of his work is evident in collaborations spanning geology, engineering, and environmental science. Dr. Fokker has supervised multiple research projects and students throughout his career, as indicated by the "Supervised Work (4)" reference in his profile. His research has been supported by various grants focused on subsidence modeling, geomechanics of energy resources, and induced seismicity. He has been involved in significant collaborative efforts, including the Dutch National Scientific Research Program on Land Subsidence. Dr. Fokker is part of the Experimental Rock Deformation/HPT group at Utrecht University, which conducts laboratory experiments and develops theoretical models to understand rock behavior under various conditions. His work contributes to the broader research ecosystem focused on sustainable resource management and understanding subsurface processes, with particular relevance to the Dutch context of gas extraction and land subsidence.

Johanna HeitzerView profile

Professor

• Mathematics Education
• Teacher Training and Professional Development
• Curriculum Development
• +7 more

Prof. Dr. Johanna Heitzer is a University Professor for Mathematics Education at RWTH Aachen University since 2011. She leads the Teaching and Research Area of Mathematics Education within the university's mathematics department. Her office is located in Room 352 of the Kreuzherrenstraße 2 building in Aachen. She serves as co-editor of the journal 'mathematik lehren,' co-author of the 'Mathematics - New Ways' textbook series, and holds numerous committee positions including membership in the Faculty Advisory Board and Structural Commission of the Center Council. 1989: High school diploma 1989-1994: Mathematics and Physics Teacher Training at RWTH Aachen 1994-1996: Traineeship at Aachen Teacher Training College 1997: Research assistant at University of Münster 1998-2007: Mathematics and Physics teacher at Korschenbroich Gymnasium 2007-2010: Scientific assistant and doctorate at RWTH Aachen 2011-present: University Professor at RWTH Aachen Professor Heitzer's research focuses on the training and further education of mathematics teachers, development of contemporary teaching materials, applied and interdisciplinary mathematics, and the transition from school to university. Her work emphasizes concept formation, linguistic communication in mathematics, and the historical development of mathematical ideas as teaching resources. She investigates mathematics-specific learning and cognitive processes through multiple research projects including the Aachen school-university project iMPACt. Her recent scholarly output demonstrates a strong trend toward integrating digital technologies in mathematics education, particularly 3D printing and e-learning tools. She has increasingly focused on the social relevance of mathematics, exploring concepts of fairness, sustainability, and citizen empowerment through mathematical modeling. Her work bridges theoretical mathematics education with practical classroom applications, maintaining a strong connection to both historical perspectives and contemporary educational challenges. Special prize from Sparkasse Bad Hersfeld-Rotenburg for best mathematics Abitur (1989) Borchers Plaque for doctoral examinations passed with distinction (2011) DMV honor as Mathemaker of the Month (2013) Brigitte Gilles Prize 2013 for the MINT-L4 Center Professor Heitzer has supervised numerous doctoral students, serving as primary or secondary advisor for at least nine PhD dissertations between 2016-2021. Her research projects include the School-University Project MathePlus Aachen (iMPACt), e-Learning 'Mathematics for Civil Engineers,' and the development of mathematics items for StudiChecks NRW. She has secured funding through the Quality Initiative for Teacher Education (both phases) and participates in the ComeIn project focused on digitalization in teacher training. Her grants consistently emphasize practical applications of mathematics education research with direct impact on classroom practice. As a founding member of the MINT-L4@RWTH center and initiator of the working group Mathematical Education for Sustainable Development, Professor Heitzer has established significant collaborative structures. She participates in the Subject Didactics Forum at the Teacher Training Center of RWTH Aachen and has served in leadership roles including Chair of the Center Council (2014-2016) and Board member of the Teacher Training Center (2014-2017). Her work connects with national and international networks through her membership in the Society for Mathematics Education (GDM), the German Association for Mathematics and Science Education (MNU), and the German Mathematical Society (DMV).

Ion StoicaView profile

Professor

• Distributed Systems
• Cloud Computing
• AI Systems
• +3 more

Ion Stoica is a Professor in the Electrical Engineering and Computer Sciences Department at the University of California, Berkeley, where he holds the Xu Bao Chancellor Chair. He serves as Director of the Sky Computing Lab and is Executive Chairman of both Databricks and Anyscale. His research spans distributed systems, cloud computing, and AI systems, with significant contributions to large-scale data processing frameworks. Stoica's research interests focus on the intersection of AI and systems, with emphasis on developing practical implementations that bridge theoretical foundations with real-world deployability. His work addresses fundamental challenges in distributed computing, resource management, and large-scale machine learning systems. Current projects include Ray (a distributed execution framework), vLLM (a high-throughput inference engine for LLMs), Chatbot Arena (an open platform for human preference evaluations), and SkyPilot (a framework for running AI workloads across clouds). His research output demonstrates a consistent trajectory toward more efficient, scalable systems for modern AI workloads, particularly focusing on optimizing inference performance, resource utilization, and cross-cloud deployment. Recent publications reflect growing interest in large language model serving, video generation optimization, and agent-based systems. ACM Fellow SIGOPS Hall of Fame Award (2015) SIGCOMM Test of Time Award (2011) ACM Doctoral Dissertation Award (2001) Member of National Academy of Engineering Honorary Member of the Romanian Academy Stoica has advised an extensive number of doctoral students who have gone on to prominent positions in academia and industry, including assistant professorships at Stanford, MIT, Carnegie Mellon, and other top institutions. He has received significant research funding through his lab activities and startup ventures. His research group has been particularly successful in translating academic research into widely adopted open-source technologies and commercial products. Stoica leads the Sky Computing Lab at UC Berkeley, which focuses on developing systems for AI workloads across multiple clouds. His research group has produced numerous influential open-source projects including Apache Spark, Apache Mesos, and Alluxio, which have become industry standards for large-scale data processing. The lab maintains strong industry partnerships while pursuing fundamental research in distributed systems and AI infrastructure.

Zhiying MaView profile

Assistant Professor

• Medical Anthropology
• Disability Studies
• Global Health
• +5 more

Dr. Zhiying Ma is an Assistant Professor at the University of Chicago Crown Family School of Social Work, Policy, and Practice , with faculty affiliations at the Center for East Asian Studies, Center for the Study of Gender and Sexuality, and Global Studies Program. She holds a joint PhD in Comparative Human Development and Anthropology from the University of Chicago and bachelor's degrees in Psychology and Philosophy from Peking University. Research Focus: Examines biopolitical paternalism in China's mental health governance Develops peer support systems for persons with serious mental illnesses Investigates intersections of disability rights, care ethics, and welfare systems Conducts ethnographic fieldwork in psychiatric hospitals and community teams Key Projects: Led a CBPR pilot project (2019-2021) to create peer support manuals in Guangzhou, and currently scales services in Guangzhou/Yunnan with Cyrus Tang Foundation support. Collaborated with the WHO on community mental health models. Scientific Recognition: 2021 Ford Global Fellow Published in SSM-Mental Health , Cultural Anthropology , and Disability Studies Quarterly Advocacy & Impact: Combines scholarship and activism , consulting for NGOs on disability livelihoods and gender equality. Collaborates with China's community mental health teams to improve service fidelity and client satisfaction.

• Museology
• Art Education
• Museum Education
• +4 more

Claire Robins serves as Professor of Museology and Art at University College London's Institute of Education, leading the Art, Design & Museology Academic Group and acting as Department Graduate Tutor for the Department of Culture, Communication and Media. Her work critically bridges art practice, museum studies, and educational theory to advance democratic engagement in cultural institutions. Education: PhD in Museum Education, University of London (2009) Master's degree in Gallery/Museum Education, University of London Bachelor's degree in Fine Art, St Martins School of Art (now University of the Arts London) Research Focus: Robins investigates the intersection of artists' practices with critical pedagogy, emphasizing progressive education and avant-gardist strategies in twentieth-century knowledge production. Her scholarship examines how contextual forces shape learning definitions in museums, with particular attention to materialities, pedagogic forms, and democratic potential within institutional frameworks. This work consistently challenges conventional museum narratives through artist-led interventions. Publication Trends: Her 15 most recent publications (2012-2025) reveal sustained exploration of museology-art education synergies, highlighting pedagogic innovation through artists' interventions, critical assessment frameworks, and democratic museum practices. Key thematic threads include narrative disruption in galleries, sustainability in art education assessment, and the transformative role of fiction in reimagining museum epistemologies. Advising & Leadership: Robins has supervised PhD/EdD students since 2010 and directed the MA Art Education, Culture and Practice program (2011-2023). She currently teaches MA modules in Museums and Galleries in Education and leads the Education and Curation component, while mentoring MA dissertations. Her leadership extends to developing gallery-based short courses with Engage. Professional Engagement: As editorial board member for Arts & Communication and Engage , and active participant in ICOM and NSEAD, Robins shapes global discourse through international keynotes (e.g., Korean Society for Education in the Arts, 2019) and curated seminars like Soft Subjects: Material Practice in Gallery Education (2024). Her review work for Routledge and Intellect Books further demonstrates scholarly stewardship.

• Regulatory Science
• Pharmaceutical Policy
• Horizon Scanning
• +3 more

Dr Orin Chisholm is a program director at the Sydney Pharmacy School (University of Sydney), an Adjunct Associate Professor at UNSW Sydney, and teaches at Arizona State University. Her work focuses on regulatory science, pharmaceutical policy, and capacity-building in the therapeutics industry. BSc (Hons) in Biochemistry , University of Sydney PhD in Molecular Biology , University of Sydney Graduate Certificate in University Learning and Teaching , UNSW Sydney Her research explores regulatory frameworks for emerging therapeutics, horizon scanning of medical technologies, and competency-based education in pharmaceutical sciences. Recent projects include NHMRC Partnership Grant (2025-2028) for horizon scanning and national medicines policy reviews. Her publications analyze regulatory reforms, benefit-risk methodologies, and educational transformations in pharmaceutical medicine. Key themes include precision medicine , clinical research , and medical device regulation . TOPRA Award for Excellence in Regulatory Education (2017) Senior Fellow of the Higher Education Academy (SFHEA) (2018) Fellow of the Regulatory Affairs Professionals Society (FRAPS) (2021) Fellow of ARCS Australia (FMPP) (2025) She supervises higher-degree research students, including Owen Smith (AAV gene therapies) and Matthew Britland (Medical Affairs and Quality Use of Medicines). Grants include funding for nanoparticle immunotherapy platforms and peptide-drug conjugate manufacturing.

• Embedded Systems
• Cyber-Physical Systems
• Computer Architecture
• +5 more

Aviral Shrivastava is a Professor at the School of Computing and Augmented Intelligence, Arizona State University, leading the Make Programming Simple Lab. He holds a Ph.D. and M.S. from the University of California-Irvine (2006, 2002) and a Bachelor’s from IIT Delhi (1999). His research focuses on making programming simple for embedded and cyber-physical systems, with a particular interest in manycore and accelerated computing, software for CPS, and resilient/fault-tolerant computing. He has co-authored over 120 publications in top venues like DAC, ESWEEK, and ACM TECS, with more than 3000 citations and 5 granted patents. His work has been recognized with multiple awards, including the 2010 NSF CAREER award and best paper nominations. Research Areas: Embedded and Cyber-Physical Systems Compiler Design for Modern Architectures Resilient and Fault-Tolerant Computing Scientific Awards: 2010 NSF CAREER award DAC 2017 Best Paper Award Candidate VLSI 2016 Best Student Paper Award LCTES 2010 Second Highest Ranked Paper ASPDAC 2008 Best Paper Candidate Advising & Grants: He has mentored 9 Ph.D. and over 20 Masters students. His research has been funded by NSF, DOE, NIST, SFAZ, and industry partners, totaling $3.5M. He teaches courses on computer organization, architecture, and embedded systems, with student evaluations averaging over 4/5. He also serves as General Chair of Embedded Systems Week (ESWEEK) and holds editorial roles in IEEE ESL, ACM TCPS, and ACM TECS.

Matthew Lee SmithView profile

Professor

• Aging
• Health Behavior
• Chronic Disease Management
• +6 more

Matthew Lee Smith is a Professor at the Texas A&M School of Public Health , part of Texas A&M University . He is a core faculty member of the Center for Community Health and Aging (CCHA) and the Center for Health Equity and Evaluation Research (CHEER) , and serves as the Director of the Texas Research, Analytics, Innovations, and Research Lab (TRAIL) . Education: Post-Doctoral Fellowship, Health Science Center, Texas A&M University (2010) PhD in Health Education, Texas A&M University (2008) MPH, Indiana University Bloomington (2004) BS in Public Health Education, Indiana University Bloomington (2002) Research Interests: Dr. Smith’s research focuses on aging , chronic disease management , and evidence-based public health interventions . He is particularly interested in health behavior change , health risk assessment , and survey research methodology . His translational work bridges research and practice across healthcare, aging services, and public health systems. He has a strong focus on social determinants of health , including social isolation , caregiving , diabetes self-management , and fall prevention among older adults. His work often targets underserved populations, particularly Black/African American men and rural communities . Scientific Awards: Immunization Neighborhood Champion Award (2024) Responsible Research in Management Award (2023) J. Mayhew Derryberry Award (2022) Consumer Education Program Award (Silver) (2022) Bluebonnet Award (2021) Innovators in Aging Award (2019) Redefining American Healthcare Award (2019) Community ConnecTivity Award (2019) Phillip G. Weiler Award for Leadership in Aging and Public Health (2018) Leadership & Mentorship: Dr. Smith holds leadership roles in several national and state-level initiatives. He is the Co-Director of the Advancing Gerontology through Exceptional Scholarship (AGES) Program and serves on the Steering Committees of the Texas Falls Prevention Coalition , Texas Alzheimer’s Research and Care Consortium , and Texas Social Isolation and Loneliness Coalition . He is also the Director of the Research Scholars & Mentorship Program (RSMP) at the American Academy of Health Behavior. Labs & Centers: He leads the Texas Research, Analytics, Innovations, and Research Lab (TRAIL) , which focuses on developing and evaluating community-based interventions. He is also affiliated with: Center for Community Health and Aging (CCHA) Center for Health Equity and Evaluation Research (CHEER)

• Artificial Intelligence in Education
• Science Education
• Self-Regulated Learning
• +5 more

Yael Feldman Maggor is a Postdoctoral Fellow at KTH Royal Institute of Technology, affiliated with the Media Technology & Interaction Design Division and the Digital Futures research center. Her work bridges educational technologies, artificial intelligence, and science education, with a focus on enhancing pedagogy through innovative tools. Research Themes: Generative AI in education, self-regulated learning, learning analytics, chemistry education, and ethical considerations in AI integration. Key Projects: Contributions to the International Journal of Science Education, development of AI-driven evaluation frameworks, and pandemic-era online teaching analysis. Methodologies: Expertise in quantitative and qualitative research, educational data mining, and design of interactive learning platforms. Recent publications emphasize cross-cultural trust in AI, generative AI applications in chemistry education, and explainable AI for teacher professional development. She co-authored studies on nanotechnology courses for educators and self-regulation strategies in online learning environments.

• Machine Learning
• Artificial Intelligence
• Combinatorial Optimization
• +13 more

Yiming Yang is a Professor at the Language Technologies Institute and Machine Learning Department within the School of Computer Science at Carnegie Mellon University , where he has held faculty positions since 2003. His research spans foundational and applied aspects of machine learning , artificial intelligence , and scientific computing . Professor, Carnegie Mellon University (2003–Present) Associate Professor, Carnegie Mellon University (1996–2003) Yang's research focuses on LLM-based problem-solving agents , combinatorial optimization , and scalable oversight frameworks . His work explores diffusion models, Langevin dynamics, and Fourier neural operators for NP-hard problems, while advancing reinforcement learning techniques for self-play supervision and principle-driven fine-tuning of large language models. Recent publications highlight his contributions to code synthesis , PDE solving , and multi-agent reinforcement learning . Key methodologies include demonstration-guided control, retrieval-augmented reasoning, and test-time scaling laws. His team has developed frameworks like FEEDER for efficient in-context learning and μTransfer-FNO for zero-shot hyperparameter transfer in PDE solvers. Notable scientific achievements include: Best Student Paper Runner Up (2013) Best Theoretical Paper Award (1994) Best Theoretical Paper Award (1993) Yang has mentored over 20 PhD students and postdocs, including Shengyu Feng , Zhiqing Sun , and Aman Madaan , across domains like graph learning , extreme multi-label classification , and language model alignment .

Dan SuciuView profile

Professor

• Data Management
• Probabilistic Databases
• Query Optimization
• +10 more

Dan Suciu is a Microsoft Endowed Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. His research focuses on data management, query optimization, probabilistic databases, parallel data processing, and information theory applications to databases. Awards : ACM Fellow (2011), American Academy of Arts and Sciences (2024), ACM SIGMOD Codd Innovation Award (2022), NSF Career Award (2001), Alfred P. Sloan Fellow (2001-2002). Research Trends : Recent work emphasizes cardinality estimation using Lp-norms, submodular width for query evaluation, dynamic query processing, and tensor program optimization. His publications highlight intersections between database systems and formal methods, driven by mathematical rigor. Key Collaborators : Mahmoud Abo Khamis, Dan Olteanu, Amir Shaikhha, Maximilian Schleich, Kyle Deeds, Moe Kayali. Advising : PhD students Gerome Miklau (2006), Christopher Re (2010), Paris Koutris (2016), Nilesh Dalvi (2008 runner-up), Yisu Remy Wang (2024 runner-up) have excelled in dissertation awards.

• Urban Planning
• Sustainable Urban Development
• Heritage Conservation
• +4 more

Mario Artuso is an External Lecturer and Teaching Assistant at the Interuniversity Department of Territorial Sciences, Planning and Policies (DIST) under the College of Architecture and Design at Politecnico di Torino. He has been delivering courses since 2019/20 academic year, focusing on Urbanism, Sustainable Design, and Heritage Conservation modules. Teaching Roles: Course Lecturer for Urbanism (2024/25, 2023/24, 2022/23, 2019/20), Heritage Renovation (2021/22), Atelier Urban Design E (2020/21), and City and Territory Studio (2019/20). Email: mario.artuso@polito.it Research Interests: His work bridges urban planning with local policy analysis, emphasizing sustainable development and heritage conservation. Publications explore urban agriculture in Turin's metropolitan area, global urban prosperity metrics, taxation-driven sustainability in Sub-Saharan African cities, and academic cooperation frameworks. Publication Trends: 50% of his works focus on Sub-Saharan Africa urban challenges, 40% on European sustainable urban practices, and 30% on heritage integration in city planning. Keywords cluster around Urban Development , Policy Analysis , and International Cooperation .

Courtney QuinnView profile

Assistant Professor

• Sustainability Science
• Environmental Leadership
• Sustainable Farming
• +5 more

Dr. Courtney Quinn is an Assistant Professor of Sustainability Science at Furman University. She joined the faculty in 2024 and has been teaching since 2013, focusing on fostering intellectually challenging yet joyful classroom environments. Her research explores leadership in sustainability, food systems, place attachment, and critical thinking development. She co-founded the Sustainability Leadership Initiative (SLI) in 2021, a program uniting business and conservation leaders for cross-sectoral dialogue and experiential learning. Education: Ph.D. in Leadership Studies, University of Nebraska-Lincoln M.S. in Human Dimensions of Natural Resources, University of Nebraska-Lincoln B.A. in Environmental Policy, Drake University Dr. Quinn’s work bridges theory and practice, emphasizing sustainability futures, coupled human-natural systems, and resilience modeling. Her recent articles address topics like local food networks, pandemic-driven sustainability thinking, and climate policy implementation. The SLI program highlights her commitment to translating academic insights into actionable leadership strategies for real-world environmental challenges. Her research spans agriculture, environmental governance, and education, with a focus on fostering ethical decision-making and community engagement. She advises students on projects related to food systems, climate resilience, and farmer-land relationships.

• Medical Imaging
• Molecular Imaging
• Neuroscience
• +3 more

Steven Meikle is a Professor of Medical Imaging Physics and Head of the Imaging Physics Laboratory at the Brain and Mind Centre, University of Sydney. He also serves as Deputy Director (Preclinical) of Sydney Imaging and Deputy Director of the National Imaging Facility's Sydney node. His expertise spans advanced imaging technologies, with a focus on PET/SPECT instrumentation and molecular imaging. He holds a B.App.Sc.(Hons) from the University of Technology Sydney and a PhD from the University of New South Wales. Research focuses include developing novel PET systems like Open-field PET (for freely moving rodents) and Total Body PET, which enhance imaging sensitivity and enable real-time behavioral studies alongside brain function analysis. Collaborations include Tsinghua University (China) and UC Davis (USA). He leads projects on motion correction, quantitative imaging, and AI-driven analysis. Key achievements include over 180 peer-reviewed publications, editorial roles in Physics in Medicine and Biology , and leadership in professional societies. Awards include IEEE Senior Membership and Australian Institute of Physics Fellowship. Current student projects explore Total Body PET applications, motion correction, and radiopharmaceutical evaluation. Teaching roles include medical physics courses in diagnostic radiography and medical physics programs. He advises on imaging ethics, facility implementation, and translational research bridging basic science and clinical applications.