جست‌وجوی استاد و پژوهشگر

Sharon Vestalمشاهده پروفایل

دانشیار

• Mathematics Education
• STEM Education
• Teacher Training
• +۴ مورد دیگر

Sharon Vestal is an Associate Professor in the Department of Mathematics and Statistics at South Dakota State University (SDSU). She focuses on enhancing mathematics education for all students, particularly future teachers, and integrating technology into STEM education. Her research emphasizes improving teaching practices and student success in calculus and geometry courses. Education: B.A. in Mathematics/Classical Humanities, University of South Dakota (1992) M.A. in Mathematics, University of South Dakota (1994) Ph.D. in Mathematics, University of Colorado, Boulder (2000) Research Interests: Mathematics education for pre-service teachers Technology-enhanced STEM teaching Geometry course design for educators Calculus student success strategies Assessment in STEM education Key Grants: NSF Robert Noyce Scholarship Program (multiple grants since 2007) Awards: SD Council of Teachers of Mathematics Friend of Mathematics Award (2020) Timothy J. Nichols Award for Outstanding Advising (2019) Professional Roles: Department Head Search Committee (2023-2024) SD STEM Education Conference Planner Intercollegiate Athletic Board Member (2021-2023) Labs/Initiatives: REMAST Scholarship Program (supports STEM teacher candidates) Co-developer of the Calculus Lab textbook

Glen Martinمشاهده پروفایل

مدرس ارشد

• Health Data Science
• Clinical Prediction Models
• Statistical Methods
• +۳ مورد دیگر

Glen Martin is a Senior Lecturer in Health Data Science at the University of Manchester's Health e-Research Centre. His work focuses on improving healthcare through advanced statistical methods applied to clinical prediction models, observational data analysis, and evidence synthesis. He teaches on MSc programs in Health Data Science and Health Informatics, emphasizing practical applications of data science in healthcare. Education includes a PhD in Health Informatics (University of Manchester, 2017), MSc in Statistics (Lancaster University, 2014), and BSc in Mathematics (Lancaster University, 2013). His research spans four core areas: observational data mechanisms, risk model optimization, model reuse strategies, and clinical application of statistical methodologies. Recent publications highlight contributions to sample size frameworks for clinical models, remote monitoring in mental health, and adverse event prediction in rheumatology. Awards include a Turing Fellowship (2021-2022) and membership in the Royal Statistical Society. He leads projects like the Social Care Strengths and Vulnerability Index and the Holistic Multi-Morbidity Prediction Initiative. Key collaborations involve the Alan Turing Institute and institutions across the UK. His work aligns with UN Sustainable Development Goals, particularly in advancing healthcare equity and innovation.

Anne Blackstock-Bernsteinمشاهده پروفایل

مدرس

• Early Childhood Education
• Language and Literacy Development
• Cognitive Development
• +۳ مورد دیگر

Anne Blackstock-Bernstein is an Education Lecturer at the University of California, Los Angeles (UCLA), affiliated with the Department of Education within the Graduate School of Education & Information Studies. Her teaching spans undergraduate and graduate courses in early childhood development, cognitive development, and educational psychology. She emphasizes applying psychological research to improve teaching practices, particularly for emergent bilingual students. Dr. Blackstock-Bernstein’s research focuses on children’s language development in educational settings, including multilingual learners. She has conducted studies on language use in preschool classrooms serving Spanish-English bilingual children, exploring how teachers adapt instructional practices to meet diverse needs. Her work bridges research, policy, and practice, aiming to enhance equitable access to early childhood education. She is a member of the Los Angeles Child Care Planning Committee, working to improve early care and education accessibility. Previously, she contributed to Los Angeles County’s Quality Rating and Improvement System and currently advises the California Department of Education on revising preschool language foundations. Her expertise includes cognitive development, early education, and literacy. Education: PhD and MA in Human Development and Psychology from UCLA, and a BA in Education Studies, Psychology, and Sociology from Brandeis University.

Brian Plancherمشاهده پروفایل

استادیار

• Robotics
• Embedded Systems
• Machine Learning
• +۳ مورد دیگر

Brian Plancher is an Assistant Professor of Computer Science at Barnard College, Columbia University, and will transition to Dartmouth College in Fall 2025. He leads the Accessible and Accelerated Robotics Lab (A²R Lab), focusing on optimizing robotic systems through algorithm-hardware-software co-design. His research spans Robotics, Embedded Systems, and Machine Learning, with an emphasis on accessibility in STEM education and global TinyML initiatives. He co-chairs the TinyMLedu Open Education Initiative and serves on the IEEE RAS Technical Committee. Education: PhD (2022), MEng (2018), and BA (2013) in Computer Science from Harvard University. Research Interests: Developing open-source algorithms for dynamic motion planning, GPU-accelerated optimization, and education initiatives to lower barriers in robotics and embedded ML. Recent efforts include TinyMPC (microcontroller optimization) and MPCGPU (real-time NMPC on GPUs). Grants & Awards: NSF CSSI Grant (2024), Toyota Research Institute Grant (2025), and best paper/poster awards at IEEE ICRA and robotics conferences. His work emphasizes sustainability, ethics, and global accessibility in AI and robotics. Lab & Teaching: Teaches Parallel Optimization for Robotics at Barnard and organizes the Optimization for Robotics Summer School. Collaborates internationally on TinyML4D to scale education in developing countries.

Annabel Lathamمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence in Education
• Ethics and Trust of AI
• Computational Intelligence
• +۸ مورد دیگر

Dr. Annabel Latham is a Senior Lecturer in Computer Science at Manchester Metropolitan University within the Faculty of Science and Engineering’s Computing and Mathematics department. She holds a PhD in Artificial Intelligence, an MSc in Computing, a Postgraduate Certificate in Academic Practice, a CIM Diploma in Marketing, and a BSc(Hons) in Computation. As a Fellow of the Higher Education Academy (FHEA) and Senior Member of IEEE (SMIEEE), she contributes extensively to AI research and education. PhD in Artificial Intelligence MSc in Computing PGC Academic Practice CIM Diploma in Marketing BSc(Hons) Computation FHEA (2015) SMIEEE (2018) Research Interests include Artificial Intelligence in Education , Ethics of AI , and Computational Intelligence . She specializes in conversational agents, intelligent tutoring systems, and public trust in AI. Her work addresses fairness, accountability, and accessibility in AI-driven education, leveraging technologies like large language models and fuzzy logic. Research Outputs span 15 years, with a focus on explainable AI, educational applications of conversational agents, and ethical frameworks. Recent work (2024-2025) explores postdigital citizen science, trustworthy AI implementation, and XAI usability for non-specialists. 2023 IEEE Region 8 Outstanding Women in Engineering Volunteer Award 2019 IEEE Region 8 Outstanding Women in Engineering Affinity Group of the Year 2018 Outstanding Peer Reviewer, Elsevier: Computers & Education Senior Member IEEE (2018) FHEA (2015) Teaching and Supervision includes undergraduate Databases, postgraduate units in Information Systems and AI Ethics. She supervises MSc and PhD students in areas like explainability-aware machine learning, data responsibility, and AI trustworthiness. Her grants involve collaborations with international funding bodies such as NAFOSTED (Vietnam) and Croatia’s National Council for Science. Labs and Groups include the Computational Intelligence Lab, Machine Intelligence research group, and the Data and AI Ethics research group, where she co-leads initiatives on ethical AI in education.

Jamal El-Denمشاهده پروفایل

مدرس ارشد

• Knowledge Management
• Positive Psychology
• Group Support Systems
• +۶ مورد دیگر

Dr. Jamal El-Den is a Senior Lecturer in Information Systems at Charles Darwin University's Faculty of Science and Technology. He holds a PhD in Information Systems from the University of Technology Sydney. His research focuses on Knowledge Management, Positive Psychology, Group Support Systems, Organizational Productivity, and the transformative role of Social Media in Education. He has successfully graduated three PhD students and currently supervises two more. His work bridges theoretical frameworks with practical applications in areas like AI-driven education, sustainable digital learning, and healthcare informatics. Dr. El-Den is actively engaged in interdisciplinary research, exploring topics such as energy-efficient 6G networks and smart urban systems. His publications span over 20 years, demonstrating a commitment to advancing Information Systems across diverse domains. Education: PhD in Information Systems (UTS Sydney). Key research interests include AI-enabled reskilling, sustainable digital learning, and the intersection of technology with organizational well-being. He has contributed to frameworks for social media adoption in educational and enterprise contexts, emphasizing cooperative learning and knowledge sharing. Notable research contributions include studies on diabetic retinopathy diagnosis via deep learning, stochastic models for technology adoption, and security compliance through positive psychology interventions. His work often addresses real-world challenges in education, healthcare, and urban planning, reflecting a dedication to socially impactful research.

Thilo Kleinمشاهده پروفایل

استاد

• Market Design
• Matching Theory
• Empirical Methods
• +۵ مورد دیگر

Thilo Klein is a Professor of Quantitative Economics at Pforzheim University and a Senior Economist at the ZEW Research Institute in the Market Design Department. He holds a PhD in Business Economics and an MPhil in Operations Research from the University of Cambridge. His research focuses on market design applications in allocation systems, including matching markets for childcare, food donations, environmental subsidies, and microfinance. Key contributions include developing deferred acceptance algorithms for fair childcare assignment and analyzing the impact of market rules on policy outcomes. Education: PhD and MPhil in Economics from University of Cambridge. Prior to academia, he worked at OECD, ILO, and Spandana (India). Funded projects include grants from DAAD, ESRC, Leibniz Association, and German Federal Ministry of Agriculture. Awards include the ZEW Prize for Best Economic Consulting Project. Research emphasizes combining microeconomic theory with empirical methods to design efficient and equitable allocation mechanisms. Notable software contributions include the R package matchingMarkets for structural estimation and algorithm implementation. He also coordinates the KitaMatch platform for childcare allocation solutions. Teaching includes quantitative methods at Pforzheim University and advanced courses at institutions like University of Cambridge. Awards: ZEW Sponsors' Association Prize for Best Economic Consulting Project (202X). Grants: Led projects funded by DAAD, ESRC, Leibniz Association, Bertelsmann Foundation, and German Federal Ministry of Food and Agriculture. Consulting focuses on applying market design principles to public sector challenges. Active in policy briefs for efficient food donation systems and environmental subsidy mechanisms. Software tools include the KitaMatch Toolbox and matchingMarkets package for stable matching analysis.

Oliver Rollمشاهده پروفایل

استاد

• International Marketing
• Pricing Strategy
• Consumer Behavior
• +۵ مورد دیگر

Prof. Dr. Oliver Roll is a full-time Professor of Business Administration and International Marketing at Osnabrück University of Applied Sciences, specializing in Pricing Strategy and Marketing. He holds a PhD from TU Chemnitz (2002) and has extensive experience in consulting roles, including at Roland Berger Strategy Consultants and Simon-Kucher & Partners. His research focuses on digitalization in pricing, consumer behavior, and qualitative methodologies. Roll has authored numerous publications on pricing strategies, including dynamic and peer-based pricing models. He has also contributed to practical guides like the Praxishandbuch Preismanagement . His work integrates academic rigor with industry applications, addressing topics like B2B pricing, value-based strategies, and marketing in digital contexts. He leads the Department of Business Administration within the Faculty of Economics and Social Sciences and has collaborated on research projects funded by the European Regional Development Fund (EFRE). His lectures and workshops highlight trends in pricing innovation and digital transformation.

Albrecht Wackerمشاهده پروفایل

استاد

• Educational Policy
• School Reform
• Educational Equity
• +۳ مورد دیگر

Prof. Dr. Albrecht Wacker is a Professor and Head of the Institute of Educational Science at the University of Tübingen. His work focuses on educational policy, school reform, and equity in education. He leads the 'Wissenschaftliche Begleitforschung Gemeinschaftsschulen (WissGem)' project, analyzing community schools in Baden-Württemberg. Wacker is known for his research on pandemic impacts on education, digital learning tools, and structural reforms like the proposed 'New Secondary School'. He frequently lectures on topics such as teacher workload, AI integration in education, and MakerSpaces. Education: Unspecified in provided texts. Key Projects: WissGem, CovER research group recommendations, and AI-driven task differentiation tools. His research interests include educational equity, digital pedagogy, and systemic school restructuring. Notable contributions include studies on student perceptions during school closures and proposals for reducing teacher shortages.

Molly Wickamمشاهده پروفایل

استاد

• Business Education
• Service-Learning
• Marketing
• +۵ مورد دیگر

Dr. Molly Wickam is a Professor of Education and Business/Leadership and Program Director for Bethel University's MA Teaching and B.S. Business Management programs within the College of Adult and Professional Studies. She also serves as Chair of the Faculty Development Committee for CAPS, Seminary, and Graduate School. Her corporate background spans software marketing, risk management, and small business ownership, complementing her academic roles in education and business leadership. Educational Background: BA (Business and Political Science, Bethel University, 1991), MBA (Northern Illinois University, 2004), PhD (University of Minnesota, 2015), and teaching credentials (National University, 2002). She has taught business capstone courses, marketing, and education courses, emphasizing client-focused service learning and design thinking. Research Interests: Focus on AI in business education, innovation, Holocaust education, and service-learning integration. Recent work explores emotional intelligence development in students and aligning curricula with 21st-century skills. Awards: Recognitions include the 2022 National Business Education Leadership Award, 2020 Teacher Educator of the Year, and a competitive White House Innovator's Summit attendance (2016). Academic Contributions: Advises thesis students, supervises teacher candidates, and contributes to professional organizations like the National Business Education Association. Her research spans over 15 peer-reviewed articles and presentations on employability skills, Holocaust curriculum, and design thinking in education. Labs/Teams: Leads initiatives in service-learning integration and faculty development across multiple schools. Collaborates on projects linking business education to community needs through capstone programs.

Sanjay Bapnaمشاهده پروفایل

استاد

• Business Intelligence
• Data Mining
• Analytics
• +۳ مورد دیگر

Dr. Sanjay Bapna is an Interim Associate Dean and Professor in the Graves School of Business at Morgan State University, leading the Department of Information Science & Systems. He holds a B.Tech. in Chemical Engineering from IIT Kanpur (1981), an MBA from the University of Iowa (1987), and a Ph.D. in Management Information Systems from the same institution (1992). His research focuses on Business Intelligence, Data Mining, Analytics, Computer Security, and Economic Modeling. He has secured grants from the Department of Transportation and pioneered work in freight industry economic analysis, cybersecurity deterrence, and insider threat modeling. Awards include the 2011 Best Paper Award and multiple recognition from National Decision Sciences Institute and International Association of Computer Information Systems. Recent publications span predictive modeling in healthcare, freight economics, and cybersecurity strategies. He has developed frameworks for CRM analytics, GIS-based crash analysis, and privacy-preserving data mining techniques. Prof. Bapna’s work emphasizes practical applications of technology in transportation safety, STEM diversity initiatives, and organizational trust dynamics. His contributions bridge academia and industry through impactful research in logistics, data systems, and policy-driven solutions.

Myoungwhon Jungمشاهده پروفایل

دانشیار

• Early Childhood Education
• Mathematics Education
• Teacher Professional Development
• +۳ مورد دیگر

Dr. Myoungwhon Jung is an Associate Professor in the Department of Special and Early Education at Northern Illinois University (NIU), affiliated with the College of Education. He holds a Ph.D. in Curriculum Studies from Indiana University (2006), an M.S. in Early Childhood Education (Indiana University), and a B.S. in Mathematics (Chung Ang University). His research focuses on mathematics education for young children, teacher professional development, and integrating technology into early childhood settings. Dr. Jung has collaborated with Chicago-area preschool programs to design professional development workshops and conduct math intervention research. He teaches courses such as Teaching Science and Mathematics to Children Ages 5-8 and Student Teaching , emphasizing hands-on learning and inclusive practices. His work includes developing multimedia teacher education materials through projects like the Indiana University-NAEP initiative. His recent publications explore topics such as geometry instruction, technology integration, and preparing teachers for diverse classrooms. Despite no explicitly listed awards, his contributions to early childhood education and teacher training are notable. Dr. Jung advises students in NIU’s M.S.Ed. and Ph.D. programs and maintains an active role in curriculum development and educational outreach.

Stacy Kellyمشاهده پروفایل

استاد

• Assistive Technology for Visual Impairments
• Special Education
• Disability Policy Research
• +۴ مورد دیگر

Stacy Kelly, Ed.D., is a Professor and coordinator of the Visual Disabilities Program in the Department of Special and Early Education at Northern Illinois University. She holds a doctoral degree in Educational Psychology with an emphasis in Visual Disabilities from NIU, a Master's in School Leadership/Public Policy from Concordia University, and a Bachelor's in Special Education (Visual Impairments) from Illinois State University. Her research focuses on assistive technology applications for visually impaired individuals, expanded core curriculum instruction, and policy analysis in disability education. Research & Grants: Dr. Kelly has secured over $5 million in federal grants including 'Project J.E.D.I.' ($1.25M/5 years) addressing diversity and inclusion in teacher training, and 'Project Fusion' ($1.25M/5 years) integrating teacher and mobility specialist training programs. Recent studies include vulnerability mitigation strategies for visually impaired individuals and birth control education accessibility. Professional Roles: Serves as Associate Editor for Journal of Visual Impairment & Blindness and The New RE:view . Certified as an Orientation and Mobility Specialist (COMS) and school administrator. Subject matter expert for assistive technology certification programs. Teaching: Instructs courses on braille systems, assistive technology, communication strategies, and collaboration skills for professionals working with visually impaired populations. Courses include SEVI 450 - Assistive Technology for Persons with Visual Impairments and SEVI 552 - Collaboration Principles . Lab & Team: Leads the Visual Disabilities Program coordinating research initiatives in assistive technology development and policy advocacy. Collaborates with NIU graduate students on multiple federally funded projects.

• Uncertainty Quantification
• Data Science
• Materials Informatics
• +۳ مورد دیگر

Zach del Rosario is an Assistant Professor of Engineering and Applied Statistics at Olin College. His research focuses on enabling engineers to reason under uncertainty through statistical methods and data-driven approaches. He earned his PhD in Aerospace Engineering from Stanford University (2020), MS from Stanford (2018), and BS from Olin College (2014). His work bridges uncertainty quantification, materials informatics, and engineering education. Research interests include model analysis frameworks (e.g., GRAMA), precision margins in aircraft design, and educational strategies for data literacy. He has pioneered tools like GRAMA to simplify uncertainty quantification and developed curricula for data science in engineering. Notable awards include the AAC&U Patricia Cross Future Leaders Award (2020) and NSF GRFP (2015). His grants include an NSF ERI award for fostering data-capable engineers. He advises projects in materials discovery, uncertainty-aware design, and pedagogical innovation. Teaching emphasizes inclusive environments, student-directed learning, and communication. Courses include Data Science, Quantitative Analysis, and Probabilistic Design Optimization. He has led workshops on active learning and qualitative research methods in engineering education.

Karsten Webelمشاهده پروفایل

استاد پژوهشی

• Machine Learning
• Seasonal Adjustment
• Stochastic Processes
• +۳ مورد دیگر

Karsten Webel is a Research Professor at the Deutsche Bundesbank's Research Centre, part of the Directorate General Data and Statistics. His work focuses on seasonal adjustment methodologies, stochastic processes, machine learning applications, and index theory. He contributes to the development and implementation of JDemetra+, the official software for seasonal adjustment in Europe. Webel's research emphasizes infra-monthly time series analysis, including daily and weekly economic indicators, and has published extensively on topics like random forest-based seasonality tests and data-driven model selection. Education and affiliations are not explicitly detailed in the provided text, but Webel's professional activities include presentations at conferences such as the International Conference on Establishment Statistics and the Joint Statistical Meetings. His research has been disseminated through peer-reviewed journals, conference proceedings, and book chapters, with a strong emphasis on methodological advancements in time series analysis and econometrics. Key research interests include seasonal adjustment techniques for non-traditional time frequencies, stochastic processes, and the application of machine learning algorithms to economic data. Webel collaborates with institutions like Insee and the National Bank of Belgium, contributing to the Eurostat-recommended seasonal adjustment software framework. His work bridges theoretical statistical methods with practical applications in central banking and official statistics.