David Williamson Shaffer is the Sears Bascom Professor of Learning Analytics and Vilas Distinguished Achievement Professor of Learning Sciences at the University of Wisconsin-Madison's Department of Educational Psychology. He is also a Data Philosopher at the Wisconsin Center for Education Research. His work focuses on merging statistical and qualitative methods to model complex human collaboration. Shaffer holds an AB in History and East Asian Studies from Harvard University (1987), and MS/PhD in Media Arts and Sciences from MIT (1996/1998). Before academia, he was a teacher, curriculum developer, and game designer. His research emphasizes Quantitative Ethnography —a methodology combining big data analysis with cultural interpretation. Key contributions include Epistemic Network Analysis (ENA) and over 250 publications, including influential books like How Computer Games Help Children Learn (2006) and Quantitative Ethnography (2017). Awardees of the EU Marie Curie Fellowship (2008) and Spencer Foundation Fellowship (2003), Shaffer's work has been presented globally at conferences like Learning Analytics & Knowledge and Computer Supported Collaborative Learning. His interdisciplinary approach bridges education, data science, and humanities, addressing challenges in authentic STEM experiences, collaborative learning analytics, and culturally responsive pedagogy.
جستجوی استاد راهنمای دانشگاهی
برای مسیر پژوهشیتان، استاد راهنما، استاد دانشگاه و پژوهشگر مناسب را پیدا کنید و با آنها ارتباط بگیرید.
نمایش ۱-۱۵ از ۳٬۸۹۴ استاد راهنما
اطلاعات پروفایلها از صفحات عمومی دانشگاهها گرفته شده و ممکن است بهروز نباشد.
Zaw Myo TUNمشاهده پروفایل
پژوهشگر ارشد
- Epidemiology
- Global Health
- Tuberculosis Vaccines
- +۳ مورد دیگر
Zaw Myo TUN is a Research Fellow (Adjunct) at the Saw Swee Hock School of Public Health, National University of Singapore, and serves as Senior Manager (Research and Evaluation) at IRD Global Singapore. His academic career includes roles such as Postdoctoral Fellow (2022) and Research Associate (2013–2021) at the same school. He holds a PhD from NUS (2016–2021), an MSc in Epidemiology from the London School of Hygiene & Tropical Medicine (2011–2012), and an MBBS from the University of Medicine, Mandalay, Myanmar (2003–2008). His research focuses on epidemiology, global health, tuberculosis vaccines, and public health policy. Key interests include maternal vaccination coverage in low-resource settings, hospital-acquired infections (e.g., MRSA), antibiotic resistance, and the ethical implications of pandemic control measures. He has contributed to studies on SARS-CoV-2 transmission dynamics, road traffic injury patterns in Bhutan, and malaria drug policy compliance in India. His publications analyze public perceptions of health policies, such as during the COVID-19 pandemic, and explore factors influencing healthcare behaviors in diverse populations. His work bridges clinical data (e.g., electronic medical records) and population-level health surveillance to inform evidence-based interventions. While no awards are explicitly mentioned, his research has addressed critical global health challenges like tuberculosis control in Myanmar and antimicrobial stewardship in Singapore primary care settings. Zaw Myo TUN’s career emphasizes translational research, linking academic findings to real-world health system improvements. His roles span academia and non-profit sectors, reflecting a commitment to addressing public health disparities through collaborative, policy-driven solutions.
Maria Gorlatova is an Associate Professor of Electrical and Computer Engineering at Duke University's Pratt School of Engineering, where she leads the Intelligent Interactive Internet of Things (I3T) Lab. She also holds a secondary affiliation as Faculty Network Member of the Duke Institute for Brain Sciences and has previously served as Assistant Professor of Computer Science. Dr. Gorlatova earned her Ph.D. in Electrical Engineering from Columbia University (2013), following M.Sc. and B.Sc. (Summa Cum Laude) degrees in Electrical Engineering from University of Ottawa, Canada. Prior to joining Duke, she was an Associate Research Scholar in the Electrical Engineering Department and Associate Director of the Princeton EDGE Lab at Princeton University (2016-2018). She also has industry experience with Telcordia Technologies, IBM, and D. E. Shaw Research. Her research focuses on advancing intelligent behavior in Internet of Things systems and applications, particularly in mobile pervasive systems and the Internet of Things. Her work crosses traditional discipline boundaries, requiring thinking across multiple layers of system and protocol stacks. Current research themes include breaking barriers for technologies that enable fundamentally new deployments and experiences, such as energy harvesting, artificial intelligence adapted to IoT constraints, and augmented reality. Her lab specifically develops edge- and IoT-enabled intelligent augmented reality platforms, with applications in healthcare and human-robot collaboration. Analyzing her recent publications reveals a strong focus on augmented reality systems, particularly for medical applications. Her work spans computer vision for AR, spatial tracking, SLAM systems, vision-language models for AR security, and VR/AR applications in neurosurgery and rehabilitation. A significant portion of her recent work addresses challenges in mixed reality for medical procedures, demonstrating the translational impact of her research. Google Anita Borg USA Fellowship Canadian Graduate Scholar CGS NSERC Fellowships Columbia University Presidential Fellowship Columbia University Jury Award for Outstanding Achievement in Communications ACM SenSys Best Student Demonstration Award IEEE Communications Society Young Author Best Paper Award IEEE Communications Society Award for Advances in Communications Best Research Artifact Award, IEEE IPSN (2020) N2 Women Rising Star, Networking Networking Women (N2Women) (2019) Dr. Gorlatova's research has been supported by various funding sources that enable her work on edge computing for augmented reality, IoT systems, and medical applications. She actively mentors graduate students who frequently appear as first authors on her publications, indicating strong student involvement in her research. Her I3T Lab at Duke focuses on creating human-facing pervasive mobile computing platforms that enable transformative applications, with recent emphasis on creating advanced augmented reality platforms that integrate edge computing and IoT technologies. The I3T Lab is developing next-generation AR systems with capabilities in edge AI, collaborative spatial awareness, AR user cognitive context sensing, and AR QoS/QoE evaluation. Current projects include applications in healthcare (particularly neurosurgery guidance and rehabilitation) and human-robot collaboration scenarios, demonstrating the lab's focus on real-world impact of pervasive computing technologies.
Henrik Sandberg is a Professor at the Division of Decision and Control Systems , KTH Royal Institute of Technology , Stockholm, Sweden. He holds the title of Deputy Head of Division and is affiliated with the School of Electrical Engineering and Computer Science . Education: MSc in Engineering Physics (1999) PhD in Automatic Control (2004) from Lund University Postdoctoral position at Caltech (pre-2007) Research Interests: Focus on cyber-physical systems security , power systems , model reduction , and fundamental limitations of control systems . Key sub-areas include attack detection , networked control , privacy-preserving estimation , and resilient control architectures . Publications: Over 150 papers across IEEE Transactions and Automatica , covering topics like stealthy attacks , distributed control , LQG optimization , and thermodynamic costs in filtering . Recent work includes LWE-based encrypted control and Bayesian deception mechanisms . Scientific Awards: Best Student Paper Award Finalist at IEEE CASE 2014; Best Student-Paper Award at IEEE CDC 2004. Grants & Projects: Leads the DYNACON project (WASP Cybersec cluster) and collaborates on CERCES (critical infrastructure resilience). Serves as examiner for multiple advanced courses in cybersecurity and control systems. Contact: Email: hsan@kth.se Phone: +46 (0)8 790 7294 Room: A:607, Malvinas Väg 10, Stockholm
Professor Siân Bayne is a leading academic in digital education at the University of Edinburgh , where she serves as Assistant Principal for Education Futures and directs the Centre for Research in Digital Education . Her work bridges critical theory and practical innovation in higher education. Interdisciplinary research on digital education and futures studies Leadership in the Edinburgh Futures Institute and Moray House School of Education and Sport Global impact through UNESCO collaborations and UKRI GCRF projects Bayne’s research explores higher education futures , utopian theory , and digital enhancement , with a focus on: AI’s role in teaching and learning Ethical implications of educational technologies Anonymous social media in academic spaces Speculative scenarios for educational systems Global South digital education models Augmented reality applications in assessment Her 15 most recent publications span 2017-2025 , covering critical perspectives on: Generative AI and educational innovation Utopian design in universities Data governance in learning analytics Augmented reality pedagogy Digital cultural heritage Scientific recognition includes: IASH Sabbatical Fellowship (2023) Bayne leads Higher Education Futures initiatives and partners with institutions worldwide, including: UNESCO Global Education and Technology Report World Bank collaborations European university leadership programs She also drives major research centers like: Centre for Research in Digital Education UKRI GCRF Urban Disaster Risk Hub
Katherine V. Gough is Professor of Human Geography at Lund University, Sweden, with a 30-year research focus on housing/home, work/entrepreneurship, youth/elderly geographies, mobility, urbanisation, and climate change across Africa, Latin America, and Asia-Pacific. She collaborates with Loughborough University's Clear Climate team on extreme heat mitigation in Ghana and leads the 'Trocha de Paz' project for Colombia's 'Total Peace' agenda. Research Themes Extreme Heat in Ghana Peacebuilding in Colombia Rural-Urban Dynamics Her multidisciplinary approach bridges academia, policy, and communities through projects like VEWEC, REFIT, and Paz Alto Cauca. Current work emphasizes: Climate-resilient housing design Post-conflict governance Informal sector innovation Scientific Engagement: British Academy funded VEWEC and REFIT projects Principal Investigator for Trocha de Paz (Colombia) Her collaborative research strengthens stakeholder networks in: West African urban livelihoods Colombian territorial peacebuilding Tropical climate adaptation
Professor Lisa Strohschein holds dual roles as a Professor in the Sociology Department and Director of Undergraduate Programs at the University of Alberta's Faculty of Arts. Her research focuses on family dynamics and health inequalities, employing longitudinal methodologies to analyze large datasets. She teaches courses on health sociology, mental illness, and socialization, emphasizing sociological perspectives on health distribution and care systems. Her research interests include the interplay between socioeconomic factors and mental health, gender disparities in marital outcomes, and generational shifts in parenting practices. She has published extensively on topics like teen pregnancy correlates, poverty dynamics, and the mental health implications of family structures. Strohschein has received the 2019-20 Killam Annual Professorship and serves as Editor-in-Chief of Canadian Studies in Population, a peer-reviewed journal focusing on demographic research. She also contributes to policy through roles like membership in Statistics Canada's Demographic Statistics Advisory Committee and past presidency of the Canadian Population Society. Her scholarly work bridges theoretical frameworks (life course, stress process theory) with methodological rigor, often using growth curve models and competing risks analysis. Current research trends emphasize cross-national comparisons and applied policy relevance, particularly in understanding how family transitions impact health across the life course.
Dr. ONG Ghim Ping Raymond is an Associate Professor and Deputy Head (Research) at the Department of Civil and Environmental Engineering, National University of Singapore (NUS). He concurrently serves as Director (Operations) at the Coastal Protection and Flood Resilience Institute (CFI) Singapore. His expertise spans sustainable pavements, multimodal transport infrastructure, and urban mobility systems. Dr. Ong holds a B.Eng (Civil) with First Class Honours and a PhD from NUS, followed by postdoctoral research at Purdue University. He has authored/co-authored over 85 peer-reviewed journal articles and 120 conference papers. His research focuses on circular economy applications in infrastructure, car-lite urban design, and mega-projects like Tuas Port and Changi Airport expansions. Dr. Ong actively engages in policy advisory roles, serving on international committees for ASCE, ASTM, and EASTS. He has received prestigious awards including the Alfred Noble Prize (ASCE) and Takeuchi Yoshio Award (OCDI). His teaching accolades include multiple NUS Faculty of Engineering commendations. He advises on critical infrastructure projects for agencies like Changi Airport Group and Defence Science and Technology Agency. Dr. Ong frequently contributes to public discourse on transport and urban planning via media interviews and policy consultations.
Jan Madsen is a Professor at DTU Compute, Technical University of Denmark, and Head of the Embedded Systems Engineering section. His research focuses on system-level modeling and design of embedded computing systems, particularly cyber-physical systems, microfluidic biochips, and synthetic biology applications. Develops design automation tools and methodologies for embedded systems Supervises numerous PhD students and leads major research projects Research Interests Key areas include: Embedded systems-on-a-chip Cyber-Physical Systems (Internet-of-Things) Microfluidic Lab-on-Chip devices Synthetic biology with molecular computing Design, modeling, and optimization of complex systems Scientific Awards DATE Fellow (2019) IEEE CEDA Outstanding Recognition (2019) DTU Scientific Advise Award (2013) Best Paper Awards at MECO (2013) and CASES (2009) Jorck’s Foundation Research Award (1995) Publications His 14+ journal papers and 115+ conference papers demonstrate expertise in: SystemC-based modeling frameworks Energy-aware sensor networks Self-healing eDNA architectures Microfluidic biochip synthesis RTOS modeling and MPSoC exploration
Jakob Schoefferمشاهده پروفایل
استادیار
- Responsible AI
- Explainable AI
- Human-Centered AI
- +۶ مورد دیگر
Jakob Schoeffer is a tenure-track Assistant Professor in the Artificial Intelligence department at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, Faculty of Science and Engineering, University of Groningen (Netherlands). His work focuses on the intersection of human decision-making and artificial intelligence, particularly in high-stakes contexts where fairness, transparency, and appropriate human-AI collaboration are critical. Dr. Schoeffer's research interests center on responsible and explainable AI, with specific focus areas including: Human-AI collaboration dynamics in decision-making processes Fairness perceptions and interventions in AI systems Appropriate reliance on AI recommendations Explainable AI techniques for high-stakes domains Transparency mechanisms that improve human-AI team performance Label indeterminacy issues in medical AI applications His recent publications (2023-2025) reveal a strong trend toward applying AI research in critical domains like healthcare (particularly neurological recovery prediction), while maintaining a rigorous focus on the human aspects of AI deployment. His work spans both theoretical foundations of human-AI interaction and practical implementations, often employing mixed-methods approaches that combine technical AI development with behavioral studies. Dr. Schoeffer actively collaborates with researchers across institutions including the University of Texas at Austin and has made significant contributions to top conferences in AI ethics, fairness, and human-computer interaction. His research has been featured in multiple news outlets and policy discussions, indicating real-world impact of his work on responsible AI development. Prior to his current appointment, Dr. Schoeffer was a Postdoctoral Research Fellow at the University of Texas at Austin. He received his PhD from the Karlsruhe Institute of Technology (KIT) in Germany with a dissertation titled "On the Interplay of Transparency and Fairness in AI-Informed Decision-Making." He also holds a master's degree in Operations Research from Georgia Tech and industry experience as a Senior Data Scientist at IBM.
Dr. Hiren Patel is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. He holds a Doctorate in Computer Engineering from Virginia Tech and previously worked as a postdoctoral fellow at UC Berkeley under Edward A. Lee. His research focuses on real-time embedded systems, computer architecture, machine learning hardware, and cybersecurity. He teaches courses like ECE 150 (Programming), ECE 320/429 (Computer Architecture), and ECE 327 (Digital Systems). Research Interests: Cyber-physical systems and hybrid architectures Hardware/software co-design methodologies Predictable cache coherence protocols IoT and edge computing systems Security in embedded and real-time systems Recent work emphasizes cache coherence solutions for safety-critical systems and GPU acceleration strategies. His publications address challenges in multicore predictability, FPGA bandwidth optimization, and autonomous robotics orchestration. No specific awards are listed, though his extensive publication record indicates significant contributions to embedded systems research. He currently oversees graduate student applications focusing on his core research areas.
Dina Verdínمشاهده پروفایل
استادیار
Dina Verdín serves as Assistant Professor in Engineering Education Systems and Design at Arizona State University's Polytechnic School, where she leads research on broadening participation in engineering through critical analysis of access and persistence barriers for first-generation, minoritized, and women students at intersectional identity junctions. Her educational foundation includes: Ph.D. in Engineering Education from Purdue University M.S. in Industrial Engineering from Purdue University B.S. in Industrial & Systems Engineering from San José State University Verdín's research program employs asset-based frameworks to examine how funds of knowledge and identity development influence engineering pathways. Her access strand investigates high school exposure barriers through culturally responsive activities that foster engineering interest and agency, while her persistence strand analyzes undergraduate institutional structures affecting identity negotiation and degree completion. This work centers intersectional methodologies to redefine engineering identity beyond traditional norms. Analysis of her 15 most recent publications (2020-2024) reveals consistent focus on first-generation Latinx students, classroom belonging mechanisms, and funds of knowledge applications. Her work predominantly utilizes mixed-methods approaches within Hispanic Serving Institutions, with growing emphasis on migratory student populations and critical engineering agency development. Her accolades include: NSF Graduate Research Fellowship IEEE Frontiers in Education Best Diversity Paper Award College of Engineering Outstanding Graduate Student Research Award AGEP Distinguished Scholar Award AERA Division D Top 3 In-Progress Research Verdín currently directs multiple NSF-funded initiatives including SAFE Teams (Student Asset-based Approach to Equitable Teams) and Reconceptualizing Community Cultural Wealth in engineering design. Her grants portfolio exceeds $1.3 million as PI/Co-PI, focusing on mastery learning implementation, engineering discipline disparities, and migratory student empowerment through gamified curricula. She teaches core courses in engineering statistics and research methods while mentoring graduate researchers. Her work actively shapes engineering education through community-engaged scholarship that centers student assets and challenges deficit-oriented paradigms in STEM persistence research.
Meng Chengمشاهده پروفایل
استادیار
Meng Cheng is an Assistant Professor of Physics at Yale University, specializing in condensed matter theory. He holds a B.S. from Nanjing University (2008) and a Ph.D. in Condensed Matter Theory from the University of Maryland (2013). After a postdoctoral position at Microsoft Research Station Q (2013–2016), he joined Yale in 2017. His research focuses on quantum criticality, fractonic phases, and symmetric topological phases, with a particular emphasis on classification and characterization of exotic quantum matter. He has received prestigious awards including the NSF CAREER Award (2019) and the Alfred P. Sloan Fellowship (2019). Key research interests include topological superconductivity, global symmetry interactions, and applications in quantum information. His work bridges theoretical frameworks with experimental implications, exploring topics like Wilson loop operators, disorder operators, and entanglement entropy in gapless systems. He has contributed to advancements in understanding symmetry-enriched topological phases and their surface topological order. Publications span high-impact journals and cover topics such as fractionalization in electronic insulators, quantum Hall effects, and topological stabilizer models. His talks highlight interdisciplinary approaches, including seminars at the Perimeter Institute and Université de Montréal on fractonic topological phases and infinite-component Chern-Simons theories. Awards and grants underscore his contributions to advancing theoretical physics, with a focus on fostering innovation in quantum materials and computational methods. Teaching and mentorship activities further his commitment to education within the Yale Physics Department.
Heewon Chang, Ph.D., is a Professor and Chair in the PhD in Organizational Leadership Department at Eastern University's College of Business and Leadership. She specializes in autoethnography and qualitative research methods, with notable works including Autoethnography as Method (2008). Her research focuses on multicultural education, leadership development, and collaborative learning within marginalized communities. Dr. Chang has contributed to advancing methodologies like Collaborative Autoethnography (CAE) and the Transformative Autoethnography Model (TAM). Her academic journey includes an MA in Education and Anthropology from the University of Oregon (1984) and Pennsylvania Elementary Teaching Certification (2000). She has served in leadership roles, emphasizing equity and inclusion in higher education. Her work bridges personal narratives with sociocultural analysis, impacting fields like organizational behavior and pedagogy. Key research themes include BIPOC doctoral student experiences, online leadership program efficacy, and systems thinking in education. Dr. Chang’s publications span journals and edited volumes, reflecting her commitment to democratizing knowledge through participatory research. She has also contributed to journal editing and community service, advocating for educational equity and mentorship for underrepresented scholars.
Pedro Navaمشاهده پروفایل
دانشیار
- Urban and rural schooling inequality
- Critical pedagogy and critical race theory
- Immigration and education
- +۲ مورد دیگر
Dr. Pedro Nava is an Associate Professor and Director of Educational Leadership in the School of Education and Counseling Psychology at Santa Clara University. His scholarship centers on educational equity for Chicanx/Latinx and immigrant communities, combining critical race theory, participatory action research, and community-engaged methodologies. Education Ph.D. in Urban Schooling – University of California, Los Angeles, 2012 Ed.M. in Administration, Planning, and Social Policy – Harvard University, 2003 B.A. – California State University, Fresno, 1996 Research Interests Dr. Nava’s research interrogates systemic inequalities in urban and rural schooling, emphasizing critical pedagogy and critical race theory . He investigates how immigration status intersects with educational opportunity, and he collaborates with families and communities to co-construct transformative practices through participatory action research . His work also explores family-school-community engagement , leveraging community cultural wealth frameworks to amplify migrant and undocumented voices in educational policy and practice. Publication Trajectory Across more than two decades, Dr. Nava’s publications trace the evolution of critical scholarship in education. Early works examine institutional barriers for Chicano students, while recent studies integrate quantitative ethnography and testimonio methodologies to illuminate intersectional experiences of Latinx youth, undocumented graduate students, and farmworker families. Scientific & Community Awards No formal awards are enumerated in the provided text. Advising & Grants While specific grants and advisees are not listed, Dr. Nava’s leadership role as Director of Educational Leadership implies extensive mentoring of master’s and doctoral students, as well as oversight of grant-funded initiatives that advance equity-focused leadership preparation. Labs, Teams & Centers Dr. Nava directs the Educational Leadership programs within the School of Education and Counseling Psychology, fostering interdisciplinary collaboration and community-engaged research teams that partner with local schools, nonprofits, and migrant organizations.
نمایش نتایج تا ۷۵۰ مورد اول. برای یافتن نتایج دقیقتر، جستجوی خود را با فیلترها محدود کنید.