جست‌وجوی استاد و پژوهشگر

Jennifer Katzمشاهده پروفایل

دانشیار

• Inclusive Education
• Social and Emotional Learning (SEL)
• Mental Health in K-12
• +۳ مورد دیگر

Dr. Jennifer Katz serves as an Associate Professor in the Department of Educational and Counselling Psychology, and Special Education (ECPS) at the University of British Columbia's Faculty of Education. She joined UBC in July 2016 after previously holding an Associate Professor position in Inclusive Education at the University of Manitoba. Renowned for creating the Three Block Model of Universal Design for Learning (UDL), her framework is now implemented across Canadian school divisions to advance inclusive educational practices. Dr. Katz's research centers on inclusive education K-12 , social and emotional learning (SEL) , and mental health promotion in schools . Her work integrates the Three Block Model of UDL to address diverse student needs while emphasizing indigenous perspectives through extensive collaboration with First Nation elders and communities in Manitoba, Alberta, and Quebec. This intersectional approach reimagines inclusive education through reconciliation frameworks and culturally responsive practices. Analysis of her recent publications reveals consistent focus on mental health literacy programs for students with developmental disabilities, UDL's impact on academic achievement and teacher efficacy, and the integration of Indigenous knowledge systems. Her research bridges theory and practice through classroom-based interventions, cluster-randomized trials, and transformative learning frameworks that prioritize student well-being and social inclusion. Scientific Awards: No scientific awards were documented in the provided sources. Advising and Grants: While specific graduate students and research grants aren't detailed in the text, Dr. Katz's extensive publication record and community partnerships indicate active research leadership. Her work with school divisions across Canada suggests significant program implementation funding, though grant specifics remain unreported. Labs and Teams: Dr. Katz maintains critical partnerships with First Nation communities, embedding Indigenous knowledge into educational frameworks. Her Three Block Model implementation involves multi-school division collaborations nationwide, creating practitioner-researcher networks focused on inclusive classroom transformation.

Cosette Crisanمشاهده پروفایل

دانشیار

• Mathematics Education
• Curriculum Development
• Teacher Education
• +۳ مورد دیگر

Dr Cosette Crisan is an Associate Professor (Teaching) in Mathematics Education at University College London’s IOE, ranked World Number 1 in Education. She specializes in curriculum design, subject-specific mentoring, and integrating digital technologies into mathematics education. Prior to joining UCL IOE in 2010, she taught mathematics at secondary and university levels for 16 years. Her research focuses on enhancing mathematics teaching practices through collaborative mentorship frameworks and technology integration. She co-leads the Curriculum and Subject Specialism Research Group and the ROPE group, driving pedagogical innovation. Notable achievements include the 2021 UCL Faculty Education Team Award for pandemic-era teaching support and leadership roles such as Academic Head of Learning and Teaching (2020–2023). She holds a PhD in Mathematics Education from London South Bank University and is a Principal Fellow of the Higher Education Academy. Current initiatives include developing a Mathematics and Secondary Mathematics Education BSc (QTS) Teacher Degree Apprenticeship program. Her research emphasizes revitalizing geometry education and preparing mentors to effectively guide novice teachers. Publications span topics like computer-aided assessment (STACK), pandemic-era teaching adaptations, and cross-cultural mentorship studies. Dr Crisan’s work bridges theory and practice, advocating for mathematics education as a design science. She actively contributes to the London Mathematical Society’s Education Committee, promoting public engagement with mathematics. Awards include the UCL Faculty Education Team Award (2021) and recognition for her role in transitioning teaching to online platforms during the pandemic. Her teaching portfolio includes leadership of the MA Mathematics Education program and supervision of doctoral candidates. Recent interests include exploring intersections between mathematics and cognitive neuroscience, inspired by her daughter’s career path.

Anandadeep Mandalمشاهده پروفایل

دانشیار

• Digital Finance
• Financial Technology
• Artificial Intelligence in Finance
• +۱۲ مورد دیگر

Dr Anandadeep Mandal is an Associate Professor in Finance and the Scotcoin Distinguished Chair of Digital Finance at the University of Birmingham , within the Birmingham Business School and the Department of Finance . He is the founding director of the MSc Financial Technology programme and the Programme Director for the MBA (Distance Learning), demonstrating significant leadership in academic program development. Education: PhD in Probability Distribution Fitting, Cranfield University (2016) MRes in Management Science, Cranfield University (2012) MSc in Finance and Investments, Durham University (2008) Bachelor’s in Electronics Engineering Research Interests: Dr Mandal’s interdisciplinary research lies at the intersection of mathematical modelling, artificial intelligence, finance, and digital innovation . His work focuses on AI-enabled investment strategies , blockchain for financial transparency , ESG performance measurement , and the development of the Sustainable Efficiency Index (SEI) . He also pioneers AI applications in digital education , including a patent-pending platform for automated grading of multi-modal student submissions using ensemble AI methods. Publication Trends: His recent scholarly output spans high-impact journals and conferences, reflecting a strong focus on digital finance , climate and social media analytics , cryptocurrency regulation , and AI in financial forecasting . His work combines advanced data science techniques with real-world policy and financial applications, particularly in sustainability and public health. Scientific Awards: No specific awards are mentioned in the provided text. Advising and Grants: Dr Mandal has secured over £2 million in research funding from sources including UKRI, UoB QR Funding, and industry partners. While specific students are not listed, his role as programme director and research leader suggests active mentorship. His research has direct policy impact through collaborations with the NHS Trusts , NIHR , and the UK Government . Labs, Teams, and Impact: Dr Mandal leads a research agenda that bridges academia and public policy. His work extends beyond the university through public engagement at science festivals, outreach for young learners, and expert contributions to UK Parliamentary consultations on AI, sustainability, and financial innovation. He is a key figure in advancing digital finance education and research at the University of Birmingham.

Jacques Archambaultمشاهده پروفایل

استاد

• Human Papillomavirus (HPV)
• Polyomavirus
• Viral DNA Replication
• +۴ مورد دیگر

Dr. Jacques Archambault is a Professor in the Department of Microbiology and Immunology at McGill University , and an associate member of the Division of Experimental Medicine since 2016. His research focuses on the molecular biology and pathogenesis of human papillomaviruses (HPVs) and polyomaviruses (HPyVs), with an emphasis on their replication mechanisms as episomes in host cells. The Archambault laboratory employs functional genomics, proteomics, and chemical biology approaches to identify cellular pathways exploited by these viruses and develop high-throughput assays for screening small molecule inhibitors of viral replication. Analysis of his recent publications reveals a strong focus on HPV and HPyV replication machinery, including studies on the E1 helicase, UAF1-USP1 interactions, and structural characterization of viral proteins involved in DNA replication. His work bridges virology, oncology, and drug discovery, particularly targeting oncogenic HPV types implicated in anogenital and oropharyngeal cancers, as well as HPyVs like BKPyV and JCPyV that cause pathologies in immunosuppressed patients. Current efforts in the lab aim to elucidate the molecular mechanisms by which HPVs and HPyVs replicate their genomes and to develop antiviral therapies targeting these processes. Techniques such as fluorescence anisotropy, NMR spectroscopy, and crystallography are frequently employed to study protein-DNA and protein-protein interactions critical to viral replication.

Angeline Lillardمشاهده پروفایل

استاد

• Developmental Psychology
• Montessori Education
• Child Social and Cognitive Development
• +۳ مورد دیگر

Dr. Angeline Lillard is Commonwealth Professor of Psychology and Director of the Montessori Science Program at the University of Virginia. She leads the Early Development Lab, focusing on children's social and cognitive development, particularly Montessori education's impact on learning and wellbeing. A Fellow of AAAS, APA, and APS, she earned her BA in English Literature from Smith College and PhD in Psychology from Stanford University. Research Interests: Dr. Lillard's work bridges Montessori pedagogy with developmental psychology, analyzing how play, educational environments, and culturally responsive teaching shape child outcomes. She explores standardized testing disparities, discipline equity, and the neurobiological underpinnings of pretend play. Key themes in her 15 most recent publications include Montessori's role in reducing educational inequality, the cognitive effects of fantasy in media, and the use of multilevel modeling to assess school discipline patterns. Her research spans preschool to adult wellbeing, emphasizing self-determination theory and longitudinal data. Scientific Recognition: Awarded the Nancy Staub Award for Puppetry Research (2024) Recognized for her book with the Cognitive Development Society Book Award (2006) James McKeen Cattell Sabbatical Fellow (2005-06) Albert Bandura Graduate Research Award (2016-17) Advising and Grants: Mentored 15+ graduate students including Lee LeBoeuf and Christina Carroll. Secured IES funding for a 600-child study on public Montessori preschools and Arnold Foundation support for kindergarten data collection.

Kaka Maمشاهده پروفایل

دانشیار

• Powder based synthesis and processing of metals and ceramics
• Additive manufacturing
• Field assisted sintering technology
• +۳ مورد دیگر

Kaka Ma is an Associate Professor in the Department of Materials Science & Engineering at Texas A&M University, specializing in advanced materials processing for energy systems and extreme environments through powder-based synthesis, additive manufacturing, and sintering technologies. Educational Background: Ph.D. in Materials Science and Engineering, University of California, Davis (2010) B.S. in Materials Science and Engineering, University of Science and Technology of China (2006) His research focuses on powder-based synthesis of metals/ceramics, laser directed energy deposition, field-assisted sintering technology (FAST), thermionic/thermoelectric energy conversion materials, and ultrahigh-temperature/hypersonic environment applications, with strong emphasis on sustainability in materials engineering. Recent publications demonstrate expertise in creating functionally graded materials via controlled thermal gradients and powder morphology optimization. Analysis of 2021-2025 publications reveals dominant trends in spark plasma sintering parameter optimization, additive manufacturing of titanium alloys, high-entropy carbide development, and nanoparticle synthesis for energy applications, consistently linking processing parameters to microstructure-property relationships in extreme-condition materials. Scientific Awards: TMS Light Metals/Extraction & Processing Subject Award – Recycling (2020) Professional memberships include The Minerals, Metals and Materials Society (TMS) and America Makes. While specific advising details and grant information are not documented in the provided materials, his extensive collaborative publication record indicates active mentorship of graduate researchers and successful acquisition of research funding. No dedicated laboratory facilities or research team structures are specified in the source documentation.

Sylvia Richardsonمشاهده پروفایل

استاد پژوهشی

• Biostatistics
• Bayesian Statistics
• Spatial Modeling
• +۷ مورد دیگر

Sylvia Richardson is an MRC Investigator at the MRC Biostatistics Unit and holds a Research Professorship at the University of Cambridge, where she served as Director of the Biostatistics Unit from 2012 to 2021. She is affiliated with the Cambridge Mathematics of Information in Healthcare Hub (CMIH) at the Centre for Mathematical Sciences. Her work bridges advanced statistical methodology with critical healthcare applications, particularly in the analysis of complex biomedical data. Richardson's research spans multiple domains of biostatistics with a strong emphasis on Bayesian approaches. Her work has significantly advanced spatial modeling and disease mapping techniques, developed sophisticated methods for handling measurement error in epidemiological studies, and pioneered mixture and clustering models for integrative analysis of heterogeneous data sources. Her research addresses fundamental challenges in analyzing longitudinal health data, multimorbidity patterns, and complex disease trajectories. Her publication record demonstrates consistent methodological innovation applied to pressing healthcare challenges. Recent work focuses on traumatic brain injury outcomes, multimorbidity progression, genomic analysis, and statistical approaches to pandemic data. The articles reveal a strong pattern of methodological development driven by real-world healthcare challenges, with particular attention to longitudinal analysis, Bayesian computation, and integrative modeling approaches that can handle diverse and complex data structures. While specific awards are not detailed in the available information, Richardson's leadership as Director of the MRC Biostatistics Unit for nearly a decade and her continued Research Professorship reflect significant recognition of her contributions to the field. Her work with major international consortia like CENTER-TBI demonstrates her role in large-scale collaborative research efforts addressing critical health challenges. Richardson's research has substantial implications for healthcare policy and practice, particularly in understanding disease progression, developing predictive models for patient outcomes, and creating methodological frameworks that can integrate diverse data sources to generate meaningful clinical insights. Her work continues to influence both statistical methodology and healthcare applications through ongoing research and leadership in the field.

James W. Navaltaمشاهده پروفایل

دانشیار

• Exercise Physiology
• Outdoor Exercise Physiology
• Wearable Technology Validation
• +۳ مورد دیگر

Dr. James W. Navalta is an Associate Professor in the Department of Kinesiology and Nutrition Sciences at the University of Nevada, Las Vegas. His research focuses on physiological responses to outdoor exercise (hiking, trail running) and the validity/reliability of wearable technology. He earned his B.S. in Physical Education and Biology from Brigham Young University–Hawaii, M.S. in Kinesiology from UNLV, and Ph.D. in Exercise Physiology from Purdue University. Education: B.S. - Physical Education & Biology, Brigham Young University–Hawaii M.S. - Kinesiology, University of Nevada, Las Vegas Ph.D. - Exercise Physiology, Purdue University His research portfolio includes: Wearable technology validation for physiological measurements Comparative studies of indoor vs outdoor exercise environments Impact of gender-inclusive approaches on sports science Metabolic and cardiovascular responses to unconventional workouts Psychological benefits of nature immersion Recent publications demonstrate expertise in: Wearable device accuracy testing VO2max and lactate threshold validation Environmental influence on exercise physiology Methodological improvements in data collection Gender-inclusive research design Outdoor activity impact assessment As co-founder and executive editor of the International Journal of Exercise Science, he contributes significantly to academic discourse. He also serves on editorial boards for journals related to digital health and exercise technology.

• Biomedical Signal Processing
• Respiratory Monitoring
• Sleep Disorders
• +۴ مورد دیگر

Prof. Raimon Jané Campos is a leading figure in biomedical signal processing at the Universitat Politècnica de Catalunya (UPC) and Universitat de Barcelona (UB). As co-director of UPC's Biomedical Signal and System Group (CREB) and coordinator of the Biomedical Engineering PhD Programme, he bridges engineering and clinical applications. His work focuses on respiratory and sleep disorder diagnostics, with significant contributions to COPD and sleep apnea monitoring through wearable devices and machine learning. PhD in Biomedical Engineering (UPC, 1989) Visiting researcher at Université de Nice-Sophia Antipolis Vice-president of Spanish Society of Biomedical Engineering Research spans respiratory mechanics , sleep-disordered breathing , acoustic biomarkers , bioimpedance , and machine learning in biomedical contexts . His 2025 work on microcalorimetric pathogen classification and 2024 spiking neural networks for apnea detection demonstrate cutting-edge integration of computational methods with physiological monitoring. Articles from 2017-2024 reveal consistent focus on non-invasive diagnostics , cardiorespiratory synchronization , and smartphone-based health solutions . Awarded the Barcelona City Technology Research Award (2005) and serving on the International Advisory Board for Physiological Measurement since 2010, his career combines academic leadership with real-world clinical translation through IBEC's technology transfer initiatives.

• Artificial Intelligence
• Strategic Reasoning in Multi-Agent Systems
• Formal Verification
• +۶ مورد دیگر

Aniello Murano is a Professor of Computer Science at the Department of Electrical Engineering and Information Technologies , University of Naples Federico II. He serves as Scientific Director of the ASTREA (Automated Strategic Reasoning) Laboratory and leads cutting-edge research in Artificial Intelligence, Strategic Reasoning, Multi-Agent Systems , and Formal Verification . Research Interests : Strategic reasoning under perfect/imperfect information, specification/verification/synthesis of reactive systems, temporal/modal logics, automata theory, parity games, game theory, mechanism design, and formal languages. Notable Projects : PNRR Research Unit Coordinator (2023-2025) on Resilient AI, PRIN 2020 Unit Coordinator (RIPER: Resilient AI-Based Self-Programming and Strategic Reasoning), H2020-MSCA SEAL (Principal Coordinator). Awards & Honors : JPMorgan Faculty Research Award (2022), Royal Society Award (2016), Best Paper PRIMA (2015), INDAM Project Leader (2023), Italian Scientific Habilitation (2017-2018). Students & Postdocs : Supervised 6 PhD students (e.g., Silvia Stranieri, Vadim Malvone) and mentored postdocs such as Munyque Mittelmann and Bastien Maubert. Laboratory : Leads ASTREA Lab, focusing on automated strategic reasoning and resilient AI systems.

• Classroom Research
• Initial Teacher Education
• Critical Thinking
• +۷ مورد دیگر

Emilia Andersson-Bakken is an Associate Professor at Oslo Metropolitan University, affiliated with the Faculty of Education and International Studies and the Department of Primary and Secondary Teacher Education. She teaches and supervises student teachers at bachelor’s, master’s, and PhD levels, contributing significantly to initial teacher education. Her academic work is deeply rooted in classroom research, with a focus on critical thinking, creativity, and classroom discourse in primary education. Her research interests include classroom research , initial teacher education , critical thinking , creativity , and classroom discourse . These themes are reflected in her ongoing involvement in key research projects such as KriT (Critical Thinking in Primary Education), Beyond access: improving quality of early years reading instructions in Ethiopia , and Classroom activities for the six-year-olds – 20 years on (Klassprax_20) . These projects emphasize pedagogical innovation, teacher facilitation, and literacy development in early schooling. The trends in her recent publications reveal a strong commitment to advancing critical thinking through children’s literature, dialogic teaching, and teacher-led inquiry. Her work spans both theoretical and practical dimensions, with a recurring emphasis on how teachers can foster student agency and reflective thinking in primary classrooms. She frequently publishes in educational journals and contributes to edited volumes focused on pedagogy and literacy. She has received no explicitly mentioned scientific awards in the provided text. Emilia supervises students at multiple levels and is actively involved in research funding and dissemination efforts through national and international conferences. Her work is supported by collaborative research teams and institutional frameworks at OsloMet. While no specific grants are named, her participation in multi-year, interdisciplinary projects indicates substantial research support and academic leadership. She is part of the research group Classroom Research and contributes to Research and Development Work on the Lower Primary Level With a Focus on Initial Education . These groups focus on observational studies, curriculum evaluation, and teacher development in early education contexts.

Arash Joorabchiمشاهده پروفایل

استادیار

• Machine Learning
• Natural Language Processing
• Educational Technology
• +۴ مورد دیگر

Arash Joorabchi is an Assistant Professor at the Department of Electronic and Computer Engineering, Faculty of Science and Engineering, University of Limerick, Ireland. His research focuses on the intersection of machine learning, educational technology, and digital library systems, with particular emphasis on automated assessment, text mining, and knowledge organization techniques. Research Trends: Analysis of his publications reveals sustained contributions to automated short-answer grading, Arabic text classification, and semantic integration of Wikipedia with academic resources. Key methodologies include sentence transformers, hybrid text representation models, and citation-based indexing techniques. Technical Domains: His work spans natural language processing, educational data mining, metadata management, and semantic web technologies. Specific applications include Q&A platform analysis, library resource discovery, and curriculum development systems.

• Digital Hardware Design
• Reliability Engineering
• Reconfigurable Devices
• +۳ مورد دیگر

Eleonora Vacca is a PhD student and Research Fellow in the Department of Automatic Control and Computer Science (DAUIN) at the Polytechnic University of Turin. She holds a B.S. in Electronic Engineering from the University of Palermo (2018) and an M.S. in Electronic Engineering-Embedded Systems from Politecnico di Torino (2021). Her research focuses on digital hardware design, reliability engineering, reconfigurable devices, and AI applications in aerospace and safety-critical systems. She is a member of the Aerospace and Safety Computing Lab and the CAD - Electronic CAD & Reliability Group (DAUIN). Her work addresses challenges such as radiation effects mitigation in space missions, fault-tolerant AI accelerators, and real-time anomaly detection in satellite telemetry. She has contributed to projects like the RAMSES CubeSat-1 Development (2025-2026), funded by commercial contracts. In 2024, she won the Best Student Paper Award at the NEWCAS Conference for her research on radiation effects in space missions. Vacca collaborates on teaching, including assisting in the course 'Electronic Calculators' for Computer Engineering students. Her recent publications explore AI resilience in RISC-V ecosystems, radiation environment analysis for space missions, and gesture recognition systems for smart cities. She actively contributes to conferences such as the ACM International Conference on Computing Frontiers and the IEEE International Smart Cities Conference.

Patricia K. Tongمشاهده پروفایل

عضو هیئت علمی

• Economic Policy
• Public Finance
• Labor Economics
• +۱۲ مورد دیگر

Patricia K. Tong is an economist at RAND and a Professor of Policy Analysis at the RAND School of Public Policy. She specializes in public finance and labor economics, with a strong focus on military and civilian personnel policy, compensation, and health economics. Her research addresses critical issues in military personnel retention, family caregiving, retirement benefits, and access to mental and behavioral health services. Research Interests: Tong’s work combines qualitative and quantitative methods to evaluate monetary and nonmonetary compensation policies, labor market outcomes, and social welfare impacts. Her expertise spans economic policy, health economics, military personnel systems, and family support structures. She has led studies on Social Security survivor benefits, tax policy anti-poverty effects, and nurse staffing standards. Publication Trends: Her recent research centers on military compensation, health care access for service members and families, and financial inclusion. Articles reflect a consistent policy-oriented focus, often supporting governmental reviews such as the Quadrennial Review of Military Compensation, and addressing timely issues like pandemic caregiving and unbanked populations. Scientific Contributions: Published in top journals including American Economic Review and Health Economics Key contributor to national policy discussions on military pay, retention, and health care Research used to inform federal and state-level policy decisions Advising and Grants: While specific students are not listed, her leadership in major research projects indicates a supervisory and mentoring role. She has led federally funded studies on military compensation, health care access, and financial inclusion, demonstrating sustained grant support from defense and public policy agencies. Labs and Teams: Tong conducts research within RAND’s interdisciplinary policy teams, particularly those focused on defense, health, and economic security. Her work often involves collaboration with military stakeholders, federal agencies, and public health experts to develop actionable policy solutions.

• Artificial Intelligence
• Healthcare Informatics
• Data Science
• +۵ مورد دیگر

Luís B. Elvas is an Assistant Professor at ISCTE-University Institute of Lisbon's Department of Social and Business Sciences (SINTRA) and a Research Assistant at ISTAR-Iscte Research Center. He holds qualifications including a Technical Specialization in TensorFlow for AI (Coursera, 2021) and certifications in IoT/Blockchain from ISCTE and cybersecurity from Palo Alto Networks. His research spans artificial intelligence, healthcare informatics, smart cities, and blockchain, with applied work in medical imaging, data sharing, and urban analytics. Research interests include: Healthcare AI : Developing deep learning models for cardiac diagnostics, medical imaging analysis, and blockchain-based health data systems Smart Cities : Implementing IoT solutions for urban mobility optimization, disaster management, and sustainable transportation Data Science : Creating predictive analytics frameworks for clinical decision support and urban planning His publications demonstrate a strong focus on AI-driven healthcare solutions (67% of recent works) and smart city technologies (33%), with emerging interests in blockchain and NLP. Research consistently targets real-world applications in clinical settings and urban environments. Awards: Award for best internship, Order of Engineers (2022) Distinction for best internship, Order of Engineers (2021) He leads/contributes to multiple EU research consortia including AMR-EDUCare (antimicrobial resistance education), NEEM (e-health in Nepal), and Blockchain.PT. Coordinates the IEEE Computational Intelligence Society Student Branch Chapter at ISCTE and developed the ManagiDiTH master's program in digital health transformation.