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Katrina DulayView profile

Lecturer

• Developmental Psychology
• Child Language Development
• Literacy Development
• +6 more

Katrina Dulay is a UKRI Future Leaders Fellow and Lecturer in Developmental Psychology at City, St George's, University of London, where she is affiliated with the Department of Psychology within the School of Health Sciences. Her research focuses on children's language and literacy development, particularly in socioeconomically disadvantaged contexts and low- and middle-income countries (LMICs). Her research interests center on understanding how parent-child interactions and home literacy environments shape early language and reading outcomes. She is pioneering a contextualised, ecosystems approach to reading development that integrates cultural, familial, and socioeconomic factors. Her work emphasizes equitable educational opportunities for children facing systemic barriers. Katrina has led and contributed to several international research initiatives, including the TalkTogether project (University of Oxford) supporting oral language development in India and the Philippines, and the See & Eat intervention promoting healthy eating through e-books in multiple European languages. These projects reflect her commitment to scalable, culturally responsive interventions. Scientific Awards: UKRI Future Leaders Fellowship Research and Advising: While specific details of her students and grants are not listed, her UKRI Future Leaders Fellowship supports her independent research program. She actively collaborates with international institutions and disseminates tools such as children’s book levelling resources and multilingual e-books through open platforms like OSF and seeandeat.org. Labs and Teams: She is involved in collaborative research networks including TalkTogether (University of Oxford) and See & Eat (University of Reading), and has previously worked at the Chinese University of Hong Kong and the University of Reading. Her work bridges developmental science with practical, cross-cultural educational applications.

• Automated Reasoning
• Automated Verification
• Formal Methods
• +12 more

Dr Martin Nyx Brain is a researcher at City St George's, University of London, affiliated with the Department of Computing within the College of Engineering, Science and Technology. His work focuses on advancing automated reasoning and formal verification techniques for ensuring software safety and security, particularly in critical low-level and embedded systems. His research spans core areas in formal methods, including the development and application of SAT and SMT solvers. He is a co-author of the SMT-LIB standard for floating-point arithmetic and has contributed to the CVC4 solver's floating-point theory, demonstrating deep expertise in logical foundations and solver technology. He applies abstract interpretation, symbolic execution, and deductive verification to analyze systems written in C, C++, and Ada, using tools such as SPARK and CBMC/CPROVER. Dr Brain’s work bridges theoretical logic and practical software verification, with strong relevance to cybersecurity and safety-critical systems. His research interests include formal verification, static analysis, programming language semantics, and automated theorem proving. While no specific publications or awards are listed in the provided text, his technical contributions suggest an active research trajectory in the intersection of programming languages, logic, and software reliability. He is involved in tool development and standardization efforts that are influential in the formal methods community. There is no mention of student supervision, grants, or educational background in the available information. However, his role implies engagement with research teams or labs focused on software verification and automated reasoning, potentially contributing to collaborative projects in formal methods and secure systems engineering.

Timothy W. SecombView profile

Professor

• Theoretical Physiology
• Microcirculation
• Computational Modeling
• +12 more

Timothy W. Secomb is a Professor at the University of Arizona with joint appointments in the Department of Physiology, Department of Mathematics, and the interdisciplinary programs in Applied Mathematics and Physiological Sciences. He is also affiliated with the BIO5 Institute and the Department of Biomedical Engineering, reflecting his highly interdisciplinary research approach. His research focuses on theoretical and computational modeling of physiological systems, particularly the microcirculation. Key areas include blood flow mechanics in microvessels, oxygen and nutrient transport to tissues, structural adaptation and angiogenesis in vascular networks, and regulation of blood flow through metabolic and mechanical feedback. His work integrates applied mathematics, physiology, and biomedical engineering to understand fundamental mechanisms in health and disease. The recent publications highlight a consistent focus on microvascular oxygen transport, neurovascular coupling, tumor angiogenesis, and computational hemodynamics. The modeling spans from cellular-level processes like red blood cell mechanics and ion diffusion to organ-level systems such as the cerebral cortex and pulmonary circulation. A strong trend is evident in using realistic 3D vascular geometries and developing fast, low-order models for complex physiological systems. Dr. Secomb has made significant contributions to understanding flow resistance, capillary perfusion, and the impact of vascular structure on tissue oxygenation. His models are instrumental in studying hypoxia in tumors and optimizing cancer therapies like thermoradiotherapy and antibody-drug conjugates. BSc in Mathematics, University of Melbourne (1975) MSc in Mathematics, University of Melbourne (1976) PhD in Applied Mathematics, University of Cambridge (1979) Post-Doctoral Training, Columbia University (1981) He has mentored students and researchers in mathematical physiology and continues to lead an active research program. His lab employs a hybrid discrete-continuum modeling framework and collaborates with experimental groups to validate theoretical predictions. Future work is likely to extend into immune-cell trafficking, multi-scale modeling of organ systems, and personalized models for precision medicine applications.

• Space Instrumentation
• Radiation Detection
• On-Board Data Management Systems
• +5 more

Sebastián Sánchez Prieto is a Professor at the Department of Automatic Control, Universidad de Alcalá, Spain, affiliated with the Space Research Group (SRG-UAH). He holds a Doctorate from the same institution (1998) with a thesis on cosmic ion telescope control systems. His research focuses on space instrumentation, radiation detection systems, on-board data management, and embedded systems for space applications. He has contributed extensively to the Solar Orbiter mission, working on the Energetic Particle Detector (EPD) instrumentation and software validation. His technical expertise spans FPGA-based signal processing, RISC-V processor architectures, and model-driven engineering for space systems. Notable work includes advancing virtualization techniques for mixed-criticality space systems, digital beamforming architectures, and neural network applications in particle trajectory analysis. Publications emphasize cutting-edge topics like fault-tolerant computing in space environments, adaptive signal processing for space communications, and low-power positioning systems. He actively develops educational frameworks integrating on-board data management concepts across interdisciplinary university curricula. His contributions include over 50 peer-reviewed articles addressing hardware-software co-design, space software verification, and radiation effects mitigation. Current research explores AI-driven approaches for space instrumentation data analysis and next-generation on-board computing solutions.

Andreea CreangaView profile

Professor

• maternal health
• perinatal health
• maternal mortality and severe morbidity measurement
• +10 more

Andreea Creanga, MD, PhD, is a Professor at Johns Hopkins University, jointly appointed in the Bloomberg School of Public Health and the School of Medicine. She is affiliated with the Department of International Health and holds joint appointments in the Division of Health Systems and the Department of Population, Family and Reproductive Health. She is also affiliated with the William H. Gates Sr. Institute for Population and Reproductive Health, the International Center for Maternal & Newborn Health, and the Johns Hopkins Center for Women's Health, Sex, and Gender Research. PhD, Johns Hopkins Bloomberg School of Public Health (2009) MD, Carol Davila University of Medicine and Pharmacy (2002) Her research focuses on maternal and perinatal health, with expertise in maternal mortality and severe morbidity measurement, vital statistics, quality improvement, patient safety, and program evaluation. She leads the Maryland Maternal Health Innovation Program (MDMOM) and serves as Principal Investigator for the NIH Maternal Health Data Coordination and Innovation Hub. Her work integrates data innovation, health equity, and policy evaluation to improve maternal outcomes in the U.S. and globally. Her recent publications demonstrate a strong trend in leveraging data science—including machine learning—for maternal health surveillance, assessing bias in care, and evaluating health policy impacts. Themes include health disparities, preventability of maternal deaths, and innovations in measurement and intervention. Presidential Early Career Award for Scientists and Engineers (PECASE, 2013) Excellence in Public Health Practice Award (2022) CDC Honor Awards for Emergency Response (2015, 2010) Delta Omega Honor Society (2015) Multiple scholarships and awards from Johns Hopkins and the Gates Institute Dr. Creanga leads major NIH and state-funded grants, including the NIH IMPROVE Initiative and MDMOM. She serves on national and global advisory bodies such as the Maryland Maternal Mortality Review Committee, WHO’s Maternal Mortality Estimation Technical Working Group, and the United Nations’ Stillbirth Estimation Group. She also co-edits the Oxford Encyclopedia of Reproductive Health. Her work involves extensive collaboration with public health agencies, clinicians, and policymakers to translate research into practice. She leads the Maryland Maternal Health Innovation Program (MDMOM), which coordinates quality improvement across 32 birthing hospitals in Maryland. Her research team focuses on data coordination, bias mitigation, and maternal safety, contributing to national and global maternal health strategies.

• Programming Languages
• Refactoring
• Parallel Programming
• +12 more

Christopher Brown is a Lecturer in the School of Computer Science at the University of St Andrews, where he conducts research in programming languages, refactoring, parallel programming, and energy-efficient computing. He is a member of the Programming Languages research group and leads the EPSRC-funded Energise project, focused on energy-aware refactorings for embedded systems. Previously, he led the EU Horizon 2020 TeamPlay project, addressing time, energy, and security in parallel software. Research Interests: Programming Languages: semantics, compilers, static analysis Refactoring: sequential to parallel transformation, correctness verification Parallel and Concurrent Programming: tools, skeletons, GPUs, multi-core systems Energy Optimization: compiler and refactoring techniques for low-energy software Verification: dependent types, formal soundness, non-functional properties The recent publications reflect a strong focus on dependently-typed parallel languages, algorithmic skeletons, and specification-guided refactoring, with applications in energy efficiency and safety. His work bridges theoretical foundations with practical tool development, including open-source systems like Skel and ParaFormance. Scientific Awards: No scientific awards explicitly mentioned in the provided text. Advising and Grants: Supervision: Accepting postgraduate research students; no named students listed. Grants: Principal Investigator on two major projects: Energise (EPSRC): Refactorings and skeletons for energy-aware embedded systems (2021–2024) TeamPlay (EU Horizon 2020): Time, energy, and security analysis for heterogeneous platforms (2018–2021) Labs and Teams: Member of the Programming Languages group at the University of St Andrews. Actively involved in developing open-source tools such as Skel (Erlang parallel library) and ParaFormance (C/C++ refactoring suite), and contributes to collaborative research in parallelism and verification.

• Computer Vision
• Scene Understanding
• Machine Learning
• +7 more

Kasim Terzić is a Lecturer in the School of Computer Science at the University of St Andrews, where he conducts research and teaches in computer vision, machine learning, and robotics. He is affiliated with the Centre for Research into Ecological & Environmental Modelling and the Coastal Resources Management Group, reflecting his interdisciplinary focus on technology for environmental conservation. Education: PhD in Computer Science, University of Hamburg MSc in Information and Communication Systems, Hamburg University of Technology MSc in Global Technology Management, Hamburg University of Technology BEng (Hons) in Electronic Engineering, University of East Anglia His research interests center on computer vision and machine learning with applications in ecological monitoring and robotics. He focuses on bridging low-level pixel data with high-level semantic understanding, active vision, and the perception-action loop, often implemented on robotic platforms. He also advocates for open-source software and open data to democratize access to technology. Recent publications highlight his work in robotic manipulation of deformable objects like cloth and applications of deep learning in biological monitoring, such as fish age estimation and seal counting. His research spans computer science, ecology, and conservation, demonstrating a strong interdisciplinary approach. Professional Activities: External Examiner at Robert Gordon University (2020–2024) Invited speaker on machine learning in conservation and automated seal counting Organizing committee member for EAI MobiHealth conference Participant in public outreach events like Doors Open @ Computer Science Kasim Terzić supervises postgraduate research students and contributes to teaching in core and specialized computer science modules, including Computer Graphics, Machine Learning, programming, Operating Systems, and Databases. He is actively engaged in research output, dataset creation (e.g., Arctic charr re-identification), and promoting sustainable technology through open-source initiatives.

• Public Health Nutrition
• Sustainable Food Systems
• Nutrition in the Global South
• +7 more

Dr. Carolyn Auma serves as a Lecturer in Nutrition at the School of Food Science and Nutrition within the Faculty of Environment at the University of Leeds, having joined as a Teaching Fellow in February 2020. Her professional background spans research, teaching, and third-sector roles across Food Science and Nutrition institutions including FAO Somalia in Kenya, BRAC Uganda, and the University of Sheffield. Her academic qualifications include: PhD in Public Health Nutrition, University of Sheffield MSc in International Public Health Nutrition, University of Westminster BSc in Food Science and Technology, Makerere University, Uganda Dr. Auma's research program critically examines public health nutrition through the lens of sustainable food systems in low-resource settings. Her work investigates nutrition transition dynamics, dietary behaviour determinants, diabetes management challenges, and policy translation across Global South contexts—particularly Uganda—with emphasis on mixed-methods approaches that bridge scientific evidence and practical implementation in nutrition communication. As Undergraduate Admissions Tutor, she teaches across Nutritional Biochemistry, Food Biochemistry, Nutrition Policy, and Sustainable Food Systems modules at both undergraduate and postgraduate levels. Her professional affiliations include membership in the Royal Society of Public Health, reflecting her commitment to evidence-based nutrition practice.

• VLSI Design
• Digital Circuit Testing
• Test Data Compression
• +4 more

Χρ. Καβουσιανός is a Professor at the Department of Computer Engineering & Informatics, University of Patras (Polytechnic School). His research focuses on VLSI design, digital circuit testing, and test data compression. He holds a Diploma (1996) and PhD (2000) from the same department, with notable scholarships including the Maritsas Doctoral Scholarship (1999). Key roles include leading the Heraclitus II and Pythagoras II research programs as principal investigator. Collaborations include Duke University (USA) with Prof. Krishnendu Chakrabarty. Research highlights: Pioneered techniques in scan-based testing, test set embedding, and low-power testing. Over 45 publications in top journals/conferences (e.g., IEEE TCAD, DAC). Notable work includes defect-oriented testing methods and Huffman-based compression schemes. Has supervised 9 advisees across doctoral/postgraduate levels. Holds a 2010 US patent application on power switch design.

Ricardo Miguel Ferreira MartinsView profile

Assistant Professor

• Analog Integrated Circuit Design Automation
• Machine Learning in EDA
• Ultra-Low Power Circuits
• +3 more

Ricardo Miguel Ferreira Martins is an Assistant Professor at the Department of Electrical and Computer Engineering, Instituto Superior Técnico (IST), University of Lisbon. His research focuses on analog/mixed-signal integrated circuit design automation, leveraging machine learning for layout optimization, sizing, and post-layout performance prediction. He leads multiple projects funded by institutions like FCT and Sony, emphasizing AI-driven EDA solutions for 5G/6G and biomedical applications. Education: Doctoral Degree in Electrical and Computer Engineering (IST/UL) Research Interests: Deep learning for analog IC placement and routing Ultra-low power biomedical circuits RF/mmWave IC design automation Yield-aware synthesis methodologies Article Trends: Recent work emphasizes integrating machine learning into EDA workflows, particularly for layout-aware optimization , human-AI collaboration , and autonomous design tools . Key contributions include PACOSYT (passive component synthesis) and DeepPlacer (AI-driven placement). Grants & Projects: ACTON Project (2025-2026): 5G/6G mmWave IC design via deep learning GENERALISE Project (2023-2026): Generative AI for analog chip design Student Supervision: Mentors 21+ graduate students in AI-driven circuit design and EDA automation. Ongoing works explore generative AI for layout generation, reinforcement learning in design space exploration, and cloud-based EDA tools. Conference Roles: Holds leadership positions in major EDA conferences like SMACD and DATE, serving as Technical Program Chair and Awards Chair.

Kevin Ferreira van LeerView profile

Assistant Professor

• Latine Immigrant Families
• Community-Engaged Research
• Policy Impact on Immigrant Families
• +3 more

Kevin Ferreira van Leer is an Assistant Professor of Human Development and Family Sciences at the University of Connecticut since August 2023. His work focuses on liberation-oriented research with Latine immigrant families, emphasizing educational contexts and policy impacts. He holds a PhD from Boston College and degrees from Wagner College and United World College Costa Rica. Fluent in English and Spanish, he employs community-engaged methodologies to co-create research with marginalized groups. Education: PhD in Applied Developmental & Educational Psychology (Boston College, 2018) BA in Global Conflict Studies (Wagner College, 2013) Bilingual International Baccalaureate (United World College Costa Rica, 2009) Research Interests: Dr. van Leer examines socialization agents influencing educational/caregiving experiences of Latine immigrants, policy impacts on migrant families, and critical consciousness development. He collaborates directly with community organizations to democratize research and advocate for equitable policies. Teaching: Teaches courses on diversity in human development (HDFS 2001) and intersectional approaches to family diversity (HDFS 5312). Grants & Advising: Currently accepting 2025-2026 graduate students. Research projects include transforming Hispanic-serving institutions and addressing inequities through policy advocacy. No specific grants mentioned, though community partnerships drive applied work. Labs/Teams: Engages in community partnerships rather than traditional labs, emphasizing participatory research with immigrant organizations.

Eunhae ShinView profile

Assistant Professor

• Healthcare Policy
• Primary Care Models
• Health Equity
• +4 more

Eunhae Shin is an Assistant Professor in the Department of Health Policy & Management at the University of Georgia's College of Public Health. Her research focuses on healthcare policy, primary care models, and health equity. She evaluates large-scale healthcare initiatives like the Comprehensive Primary Care Plus (CPC+) program and examines disparities in access to care for vulnerable populations. Her work integrates policy analysis with clinical outcomes to inform sustainable healthcare reforms. Key research themes include: Primary care transformation and payment models Opioid prescribing patterns among Medicare beneficiaries Racial and geographic disparities in healthcare outcomes Impact of state-level ACA implementation Reduction of low-value medical services Her recent studies assess how CPC+ affects healthcare spending, quality metrics, and provider behavior. She also investigates hospital responses to payment systems and provider networks' influence on referral practices. Dr. Shin's interdisciplinary approach combines claims data analysis with qualitative stakeholder insights, emphasizing actionable policy recommendations. Her research has been disseminated through comprehensive annual reports on CPC+ evaluation and peer-reviewed articles in health policy journals. While no specific awards are listed in the provided text, her active participation in high-profile federal program evaluations underscores her scholarly contributions. Current affiliations include the College of Public Health's Biostatistical Consulting and Collaboration Center (B3C). Her work is supported by grants focused on healthcare systems research, though specific grant details aren't provided here. Dr. Shin's office is located at 205D Wright Hall on UGA's Health Sciences Campus.

Stacey BrockmanView profile

Assistant Professor

• Educational Equity
• Postsecondary Access and Success
• College and Career Readiness
• +7 more

Stacey Brockman is an Assistant Professor in the Department of Educational Leadership and Policy Studies at Wayne State University's College of Education. She holds a Ph.D. in Educational Studies from the University of Michigan (2021), an M.A. in Education from Stanford University (2008), and degrees in Industrial and Labor Relations from Cornell University. Her academic work bridges K-12 and higher education, focusing on equity in postsecondary access and success. Her research centers on identifying causal impacts of educational interventions through experimental and quasi-experimental designs. She conducts partner-engaged research with school districts and policy agencies, particularly in Detroit, to evaluate programs like the Detroit Promise Path coaching initiative and virtual mentoring systems. Her work highlights both the potential and unintended consequences of behavioral nudges and support structures for students. The trends in her publications reflect a strong commitment to equity, using mixed-methods to explore systemic barriers in college persistence, transportation access, and teacher preparation. Her studies often combine rigorous quantitative analysis with qualitative insights into student and mentor experiences. IES Predoctoral Fellow in Causal Inference in Education Policy Conducts policy-relevant evaluations in partnership with urban school systems Focus on marginalized student populations and structural inequities Dr. Brockman mentors doctoral and master’s students and has extensive experience teaching research methods, policy, and teacher education courses. She has previously taught at the University of Michigan and Stanford and has served as a cooperating teacher for numerous student teachers. Her teaching philosophy emphasizes belonging, high expectations, and critical skill development. She leads research on transportation barriers to college access in Detroit, open educational resources, and the effectiveness of teacher mentoring programs. Her work is published in top journals such as Educational Evaluation and Policy Analysis and Journal of Research on Educational Effectiveness .

Adam FritschView profile

Professor

• Nuclear Astrophysics
• Stellar Nucleosynthesis
• Nuclear Structure
• +3 more

Adam Fritsch is a Professor of Physics at Gonzaga University in the College of Arts and Sciences, with an adjunct appointment at Ohio University. He teaches a wide range of physics courses to students from all majors, emphasizing critical thinking over rote memorization. His research program focuses on experimental nuclear physics, particularly nuclear astrophysics and nuclear structure. Education: Ph.D., Physics, Michigan State University (2014) M.S., Physics, Michigan State University (2011) A.B., Physics, Wabash College (2009) Fritsch's research centers on nuclear astrophysics, particularly stellar nucleosynthesis processes that explain how elements form in stars. He investigates proton evaporation mechanisms and nuclear level densities that impact astrophysical reaction rates. His work also explores nuclear structure, with a focus on alpha clustering phenomena in atomic nuclei, including the search for linear-chain structures in carbon-14. His experimental approach combines detector development with data analysis techniques to study these fundamental nuclear processes. His recent publications demonstrate consistent work in nuclear reaction studies, nuclear structure investigations, and detector development. The majority focus on alpha clustering, nuclear level densities, and the development of active-target time projection chambers for studying exotic nuclei and low-energy nuclear reactions. His research has direct applications to understanding stellar environments and element formation throughout the universe. Fritsch actively mentors undergraduate students in research, with numerous students participating in his projects over the years. He serves as the moderator of the Physics Journal Club at Gonzaga, which meets weekly to discuss recent developments in physics. His service includes roles as Consulting Editor for the American Journal of Physics and member of the Academic Technology Advisory Council at Gonzaga. His laboratory is located in Herak 256A, where he conducts research on nuclear reaction analysis of stellar nucleosynthesis processes with student researchers. He also serves as Radiation Safety Officer at Gonzaga University, demonstrating his commitment to both research and safety in the physics department.

Andrea RichardView profile

Assistant Professor

• Statistical nuclear physics
• Experimental nuclear astrophysics
• Synthesis of heavy elements in the universe
• +3 more

Andrea Richard serves as Assistant Professor in the Department of Physics and Astronomy at Ohio University's College of Arts and Sciences, based at the Edwards Accelerator Laboratory on the Athens Campus. Her experimental research focuses on low-energy nuclear physics phenomena critical to understanding cosmic element formation and medical applications. Her academic credentials include: Ph.D. in Physics from Ohio University (2018) M.Sc. in Physics from Ohio University (2014) B.Sc. in Physics and Mathematics from Muskingum University (2011) Dr. Richard's research program investigates statistical nuclear properties, nuclear astrophysics processes including heavy-element synthesis, and applied medical physics. She conducts neutron-capture cross-section measurements for unstable nuclei using advanced accelerator facilities, with particular emphasis on how nuclear structure influences nucleosynthesis in stellar environments and neutron star mergers. Her experimental approach bridges theoretical models with empirical data from rare-isotope beam facilities. Analysis of her recent publications reveals three interconnected research thrusts: fundamental nuclear structure studies of exotic nuclei (particularly level densities and rotational bands), nuclear astrophysics applications for cosmic element production, and translational medical physics work in particle therapy. The 2022-2023 publications demonstrate increasing interdisciplinary collaboration, with medical physics applications emerging as a significant new direction alongside her core nuclear structure research. Her scientific recognition includes: Diversity, Equity, and Inclusion Directorate Award from Lawrence Livermore National Laboratory (2023) American Physical Society Five Sigma Physicist Award (2021) Nuclear Science and Security Consortium Postdoctoral Fellowship (2018-2021) DOE SCGSR Fellowship (2016) While current documentation does not specify doctoral advisees or active grant funding, Dr. Richard maintains significant research leadership through her Facility for Rare Isotope Beams User Executive Committee membership and Nuclear Science and Security Consortium fellowship legacy. She operates within Ohio University's Edwards Accelerator Laboratory ecosystem while maintaining active research partnerships with Michigan State University's Facility for Rare Isotope Beams and Lawrence Livermore National Laboratory. Her collaborative networks include the GeMSS (Gender Minorities in Science Social) initiative and the American Physical Society's Forum on Diversity and Inclusion, reflecting her commitment to inclusive scientific communities.