جست‌وجوی استاد و پژوهشگر

Ellen Curranoمشاهده پروفایل

استاد

• Paleobotany
• Paleoecology
• Paleoclimatology
• +۲ مورد دیگر

Ellen Currano is Professor of Paleobotany in the Department of Geology and Geophysics at the University of Wyoming. Her research integrates fossil plants, insect herbivory, and paleoenvironmental proxies to understand how ancient forest ecosystems responded to climate perturbations, with field projects spanning Wyoming’s Paleogene strata and East Africa’s Miocene basins. She teaches courses in paleobotany, paleoecology, and paleoclimatology and is co-founder of The Bearded Lady Project , a science-outreach documentary initiative. Education Ph.D., Pennsylvania State University, 2008 B.S., University of Chicago, 2003 Research Interests Currano’s work centers on reconstructing ancient forest ecosystems using fossil plants and their insect-mediated damage. She investigates how taxonomic diversity, ecosystem structure, plant–insect interactions, and biogeographic patterns shifted during past global warming events. Her current projects include: Biotic responses to Paleogene hothouse climates across the Western US, especially Wyoming. Evolution of East African terrestrial ecosystems over the last 30 million years. Fossil-plant proxies for paleoclimate and paleoenvironmental reconstruction. Scientific Awards Paleontological Society Medal, 2021 Teaching & Mentoring Currano emphasizes active, process-based learning and critical thinking in her courses on paleobotany, paleoecology, and paleoclimatology. Leveraging Wyoming’s world-class fossil exposures, she mentors both undergraduate and graduate students in independent research. Outreach & Leadership She co-founded The Bearded Lady Project: Challenging the Face of Science , a documentary film and photography campaign that confronts stereotypes surrounding women in field sciences.

• Design for Policy
• Sustainable Development
• Climate Transitions
• +۴ مورد دیگر

Ramia Mazé is a Professor of Design for Social Innovation and Sustainability at the London College of Communication (University of the Arts London, UAL), affiliated with the Service Futures Lab. Her research focuses on design’s role in policy, sustainable development, and climate justice, emphasizing participatory, critical, and politically-engaged practices. She leads international projects such as the Sustainable Transitions through Democratic Design doctoral network and the Design|Policy UKRI/AHRC Research Network. Education: PhD in Interaction Design, Malmö University (2007) MA(Hons) in Computer Related Design, Royal College of Art (2000) BA (Magna Cum Laude) in Architecture, Barnard College, Columbia University (1996) Research Interests: Mazé explores design’s intersection with governance, feminist epistemologies, and education. Her work addresses climate transitions, public policy engagement, and equity in design practices. Methodologically, she prioritizes practice-based research and interdisciplinary collaboration. Grants & Collaborations: Key grants include the €4M EU Horizon Europe-funded Sustainable Transitions through Democratic Design (CD4T) and UKRI/AHRC-funded Design|Policy Network. She collaborates with institutions like the Service Futures Lab, Policy Design Community, and Nordic Design Research Society. Advising & Career Development: Currently supervising 9 doctoral candidates (7 completed previously). Active in shaping academic promotion criteria and supporting unconventional research career paths, particularly gender-inclusive pathways. Labs & Networks: Core member of the Service Futures Lab and steering group member of the Design|Policy Network. Former leadership roles at Aalto University (Finland) and Konstfack University (Sweden).

Joshua McVeigh-Schultzمشاهده پروفایل

دانشیار

• Immersive Design
• Design Fiction
• Animistic Design
• +۷ مورد دیگر

Joshua McVeigh-Schultz is an Associate Professor in the Department of Visual Communication Design at San Francisco State University. His research bridges design, anthropology, and media studies, focusing on speculative design, ritual, and emerging technologies. He holds a PhD in Media Arts and Practice from USC’s School of Cinematic Arts, an MFA from UC Santa Cruz, and degrees from UC Berkeley and the University of Chicago. His work explores the intersection of ritual and technology, with projects like the Sloan-funded LoveLog short film and investigations into social VR design through collaborations with Steelcase and Intel Labs. He has published widely on topics including immersive design, affordance theory, and civic media. Key contributions include developing 'immersive design fiction' methodologies and studying interaction rituals in virtual environments. Awards include an Intel PhD Fellowship (2013) and recognition for his design research in social VR interfaces. McVeigh-Schultz has also contributed to academic platforms like Culture Digitally and worked in industry with Microsoft Research and the Institute for the Future. His teaching and research emphasize bridging speculative design with practical applications, often using VR to prototype future social systems and mediate human relationships through technology.

Laura Burrusمشاهده پروفایل

استاد

• Developmental biology
• Cancer biology
• Climate change
• +۴ مورد دیگر

Laura (Kai) Burrus is a Professor in the Department of Biology within the College of Science and Engineering at San Francisco State University, where she has been a faculty member since 1997. Her research has evolved from studying Wnt signaling in developmental biology to addressing climate change resilience through microbial ecology. Education: BS in Chemistry - College of William and Mary (1986) PhD in Biochemistry - University of Wisconsin-Madison (1991) Post-doc in Developmental Biology - Harvard University (1996) Dr. Burrus' research has historically focused on the biochemical and cellular mechanisms underlying Wnt gradient formation in chick embryos, with relevance to birth defects and cancer. Her work has been funded by NIH, NSF, CSUPERB, and MDA over the last 20 years. She is currently transitioning her research to analyze the role of microbes in climate change resilience, motivated by her recognition that 'climate change is inherently racist.' She is actively involved with Lifting Black Voices in STEM and is leading an effort to launch an interdisciplinary Certificate in Climate Change Causes, Impacts, and Solutions. As one of five LGBTQIA biology faculty at SFSU, she brings unique perspectives to her work on inclusive classroom practices. Her publication record spans from 1994 to 2021, with recent work focusing on Wnt signaling mechanisms, educational approaches in STEM, and the transition to climate change research. Her research shows a clear evolution from fundamental developmental biology to applied environmental science, while maintaining a strong foundation in molecular and cellular mechanisms. Scientific Contributions: Pioneering work on Wnt protein trafficking and modification Research connecting Wnt signaling to cancer biology Leadership in developing inclusive STEM education practices Transition to climate change resilience research with focus on microbial ecology Dr. Burrus has mentored numerous undergraduate and graduate students throughout her career, with many alumni going on to pursue advanced degrees and careers in science. She has been actively involved in pedagogical innovation and is pioneering new approaches to effectively communicate research to both scientific and lay communities. Her lab has received funding from multiple sources including NIH, NSF, CSUPERB, and MDA. She is currently involved in oyster reef restoration research in the San Francisco Bay, investigating microbial communities as indicators of climate resilience. This work represents an aspirational shift from her previous focus, leveraging molecular expertise to address pressing climate challenges while mentoring students from diverse backgrounds.

Babak Heydariمشاهده پروفایل

دانشیار

• Socio-technical Systems
• Complex Networks
• Resilience Engineering
• +۳ مورد دیگر

Babak Heydari is Associate Professor in Mechanical and Industrial Engineering at Northeastern University, with joint appointments in the College of Engineering and School of Public Policy. He directs the Multi-AGent Intelligent Complex Systems (MAGICS) Lab and serves as Co-Director of the Engineering Management program. Education: PhD in EECS from UC Berkeley, with graduate certificate in Management of Technology. Research interests: Focuses on socio-technical systems, complex networks, and resilience engineering. Develops computational frameworks for understanding platform ecosystems, sharing economy models, and network resilience using AI and game theory approaches. Publications demonstrate consistent innovation in network modeling, with recent applications to AI governance and resilient infrastructure. Work combines computational methods with policy insights. National Science Foundation CAREER Award Wiley Systems Engineering Journal Best Paper Award Best Paper Award, Journal of Systems Engineering (2016) Leadership includes chairing the Executive Committee of the Council of Engineering Systems Universities and serving on advisory boards for international resilience initiatives.

• Machine Learning
• Deep Learning
• Data Analytics
• +۳ مورد دیگر

Shafaq Khan is an Assistant Professor in the School of Computer Science at the University of Windsor. She holds a PhD in Computer Science from the University of Salford (2017). Her research spans machine learning, deep learning, data analytics, and database systems with applications in healthcare informatics, agricultural technology, educational systems, and blockchain. Recent work focuses on AI-driven healthcare transformation, privacy-preserving data methods, federated learning for disease prediction, and computer vision applications in agriculture. Additional interests include educational technology for addressing disparities, blockchain implementations in government services, and open-source search engine development. Her work demonstrates consistent integration of cutting-edge computing techniques with practical domain applications.

• Health Professional Education
• Medical Education
• Historical Archaeology
• +۳ مورد دیگر

Kimberley Owens is a Senior Lecturer and Curriculum Transformation Lead at James Cook University (JCU) within the College of Medicine and Dentistry. She holds a PhD from the Australian National University (2008) and a Bachelor of Social Science (Hons) from JCU (2001). Her work spans medical education, historical archaeology, and student well-being initiatives. Teaching focuses include Health Professional Education, Social Contexts of Health Systems, and Historic Archaeology. She coordinates modules like [MD3000] Selective Study (2021–2023) and led grants addressing mindfulness training for health students (2015–2019). Owens actively participates in university committees, including the Medicine Board of Studies and CMD Curriculum Management Committee. Her research bridges archaeology and education, with notable projects on Lord Howe Island colonization (2008) and mindfulness interventions in medical training (2020). She has presented widely on health education pedagogy and curriculum transformation at ANZAHPE conferences since 2010.

Alexandru G. Bardasمشاهده پروفایل

دانشیار

• Cybersecurity
• Systems Security
• Moving Target Defenses
• +۹ مورد دیگر

Alexandru G. Bardas is an Associate Professor at the University of Kansas in the Department of Electrical Engineering & Computer Science (EECS) and the Institute for Information Sciences (I2S) . He received his PhD from Kansas State University under advisors Xinming (Simon) Ou and Scott A. DeLoach. His research focuses on cybersecurity from a systems perspective , including moving target defenses, security operations center (SOC) metrics, DevOps security, power grid cybersecurity, and defensive technologies for political activists. He explores UDP-based DDoS detection, DNS traffic analysis, and the intersection of AI with cybersecurity, emphasizing foundational knowledge over tool-specific training. Key research areas: Cybersecurity, Systems Security, Moving Target Defenses, SOC Metrics, DevOps Security Recent publications in ACSAC 2024 , USENIX Security 2024/2023 , and IEEE Security & Privacy 2022 Dr. Bardas has received significant recognition including: NSF CAREER Award (2022) for SOC automation Bellows Scholar (2021) at KU NSA SoS Honorable Mention (2023) He actively advises students across disciplines, with graduates now at Sandia National Laboratories , Blue Cross Blue Shield , and Pacific Northwest National Laboratory . Dr. Bardas participates in NSF grant reviews , serves on program committees for SOUPS and MILCOM , and leads outreach initiatives like the GenCyber Summer Camp .

Suryadipta Majumdarمشاهده پروفایل

دانشیار

• Cloud Computing Security and Privacy
• Internet of Things (IoT) Security and Privacy
• Software-Defined Network (SDN) Security
• +۳ مورد دیگر

Suryadipta Majumdar is an Associate Professor at the Concordia Institute for Information Systems Engineering (CIISE), part of Concordia University. His primary research interests focus on Cloud Computing Security and Privacy, Internet of Things (IoT) Security and Privacy, and Software-Defined Network (SDN) Security. He has contributed extensively to proactive security measures in containerized systems and Kubernetes environments, alongside developing tools like ACE-WARP and PerfSPEC to address real-time threats. In terms of education, he holds a PhD in a relevant field, though specific details about his academic background (e.g., institutions, thesis topics) are not explicitly mentioned in the provided text. His work bridges theoretical cybersecurity frameworks with practical implementations, emphasizing automated translation, differential privacy, and compliance auditing across cloud and IoT ecosystems. Majumdar’s research trends highlight a focus on layered security analysis, anomaly detection in IoT networks, and mitigating vulnerabilities in network functions virtualization (NFV). He has explored topics such as resilient in-band OpenFlow networks, runtime security policy enforcement in OpenStack, and privacy-preserving network data anonymization via tools like SegGuard. His recent publications reflect collaboration with international conferences and workshops, including contributions to Digital Forensics and Applied Cryptography. No scientific awards are explicitly mentioned in the text. His advising activities and grant history remain unlisted, though he has developed notable security frameworks and tools. He is affiliated with CIISE and likely contributes to its research initiatives in emerging technologies like 5G and edge-core environments.

Ali Nazemiمشاهده پروفایل

دانشیار

• Hydrology
• Water Security
• Climate Change
• +۳ مورد دیگر

Dr. Ali Nazemi is an Associate Professor in the Department of Building, Civil, and Environmental Engineering at Concordia University, where he joined in 2015 as a Strategic Hire in Water Resources. He holds adjunct appointments at the University of Saskatchewan's School of Environment and Sustainability and is an Associate Member of the Global Institute for Water Security. His foundational education includes a PhD from the University of Birmingham (UK), an MSc from Ferdowsi University of Mashhad (Iran), and a BSc from KNT University of Technology (Iran). Dr. Nazemi's research advances methodologies for water security challenges under climate change, focusing on: Hydrological modeling and algorithm development Climate change vulnerability assessments Coupled human-water systems Hydroclimatic data diagnostics His recent publications predominantly explore climate model integration, uncertainty quantification in water systems, and hybrid modeling approaches, with consistent themes of climate adaptation and risk management across Canadian and international contexts. He has been recognized with several awards, including: Dorothy Hodgkin Postgraduate Award (UK government, 2005–2009) Best Presentation Award at IEEE World Congress on Computational Intelligence (2006) Post Graduate Teaching Award (University of Birmingham, 2004–2007) Dr. Nazemi actively supervises graduate students through his Water Security and Climate Change (WSCC) lab, with projects on climate downscaling, vulnerability assessment tools, and coupled human-water systems. He leads research collaborations with the Saskatchewan Water Security Agency, NSERC's Changing Cold Region Network, and the Global Water and Energy Cycle Experiment.

Douglas Nychkaمشاهده پروفایل

استاد

• Spatial Statistics
• Nonparametric Regression
• Computational Statistics
• +۵ مورد دیگر

Douglas Nychka is a Professor in the Department of Applied Mathematics and Statistics at Colorado School of Mines since 2018. He holds an emeritus position at the National Center for Atmospheric Research (NCAR), where he previously directed the Institute for Mathematics Applied to Geosciences (IMAGe) from 2004 to 2017. Nychka earned his PhD in Statistics from the University of Wisconsin-Madison and a BA in Mathematics (with Physics emphasis) from Duke University. His research focuses on spatial statistics, nonparametric regression, and computational methods for large datasets, particularly applied to environmental and geophysical problems. He has developed influential R packages like fields and LatticeKrig , which are widely used for spatial data analysis. Nychka received prestigious awards including the Jerry Sacks Award for Multidisciplinary Research (2004) and recognition as a Fellow of both the American Statistical Association and the Institute of Mathematical Statistics. His work bridges statistical theory, computational innovation, and real-world applications in climate science and renewable energy. His academic career includes 14 years as a faculty member at North Carolina State University and roles at the National Institute of Statistical Sciences. Nychka's research emphasizes spatial statistics for climate data, statistical downscaling, and uncertainty quantification, with contributions to solar radiation modeling and extreme event analysis. He actively engages in interdisciplinary projects, collaborating with experts in climatology, environmental science, and data science. Professional service includes roles on committees for the National Research Council and leadership in statistical societies. His teaching focuses on modernizing curricula to integrate data science with applied statistics. Nychka’s work is characterized by a commitment to open-source software and reproducible research, exemplified by his R package contributions.

Lucy Bastinمشاهده پروفایل

استاد

• Biodiversity Informatics
• Remote Sensing
• GIS (Geographic Information Systems)
• +۷ مورد دیگر

Lucy Bastin is a Professor in the School of Computer Science and Digital Technologies at Aston University, part of the College of Engineering and Physical Sciences. She holds academic roles since 2003, including leadership in the Digital Observatory for Protected Areas (DOPA) project at the European Commission. Her research focuses on biodiversity informatics, remote sensing, and citizen science, with applications in conservation planning and sustainable development. She advises PhD students on topics like GIS, remote sensing, and citizen observatories. Education: BSc Zoology (University of Nottingham), MSc GIS (University of Leicester), PhD in Spatial Population Ecology (University of Birmingham). She also holds a Postgraduate Certificate in Teaching and Learning in Higher Education. Research Interests: Essential Biodiversity Variables, metadata standards for citizen science, uncertainty in conservation models, disease mapping (e.g., MRSA), and environmental policy support. She developed the DOPA toolkit for protected area monitoring and co-authored the Bari Manifesto for biodiversity variables. Key Projects: DOPA Explorer 2.0, FLIERS EU project, EuroGEOSS initiatives Recent Awards: Midlands Women in Tech Finalist (2021), Best Paper Award (2018) Teaching: Software Engineering, Professional Ethics in Computing, GIS modules Labs/Teams: Part of the Computer Science Research Group and Aston Centre for Artificial Intelligence Research and Application. Collaborates with global partners on initiatives like BIOPAMA and the Green Deal Data Space.

• Technology Enhanced Learning (TEL)
• Educational Technology
• Massive Open Online Courses (MOOCs)
• +۶ مورد دیگر

Mar Pérez-Sanagustín is an Associate Professor at the Institute de Recherche en Informatique (IRIT) , Université Toulouse III Paul Sabatier. She actively participates in international conferences such as EIAH, ATICA, and EDEN, focusing on Technology Enhanced Learning (TEL), Smart Cities, and MOOCs. Award-winning researcher with the 1rst ITWorldEdu Award and Best Demo Award at ECTEL 2013 Specializes in datafication in education, collaborative learning, and social media integration Research interests include: Technology Enhanced Learning (TEL) and its intersection with computer science Smart Cities Learning ecosystems and context-aware services Massive Open Online Courses (MOOCs) and educational analytics Space-aware design for mobile learning Personal Learning Environments and collaborative tools Her recent publications analyze trends in TEL methodology, the PROF-XXI Framework, and global blended learning initiatives. She actively collaborates with institutions like Universidad Carlos III, UNED, and BUAP de México, and has been invited to keynotes and workshops across Europe and Latin America. Scientific awards: 1rst ITWorldEdu Award (2014) for educational technology solutions Best Demo Award at ECTEL 2013

• Science Education
• Environmental Sociology
• Public Engagement with Science
• +۴ مورد دیگر

Noah Weeth Feinstein is an Associate Professor in the Department of Curriculum & Instruction and the Department of Community & Environmental Sociology at the University of Wisconsin–Madison's School of Education. He also serves as Director of the Robert E. and Jean F. Holtz Center for Science and Technology Studies. His research explores how people engage with science in personal, social, and political contexts, with a focus on educational platforms like museums and schools. Feinstein holds a PhD in Science Education from Stanford University (2008) and an MS in Biological Sciences (2006). His work bridges Science and Technology Studies (STS) with education, examining issues such as environmental sociology, equity in science museums, climate change adaptation, and responses to the 'post-truth' era. He contributed to a National Academies report on science literacy and has studied how museums can become more equitable institutions. His recent publications emphasize equity in science education, climate adaptation strategies, and public engagement frameworks. Notable works include discussions on community-level environmental literacy, the paradox of public knowledge in sociology, and the role of education in addressing climate change. Feinstein frequently presents at conferences like the American Educational Research Association, focusing on topics such as racial equity in museums and structural racism in science centers. Feinstein’s research integrates theoretical frameworks from sociology, education, and STS to address practical challenges in science communication and institutional change. His work highlights the need for education systems to foster collective sensemaking rather than individual truth-seeking in a polarized society.

Danielle Liمشاهده پروفایل

استاد

• Economics of innovation
• Labor economics
• Technology in the workplace
• +۴ مورد دیگر

Danielle Li is the David Sarnoff Professor of Management of Technology and a Professor at the MIT Sloan School of Management, specializing in the Technological Innovation, Entrepreneurship, and Strategic Management academic group. She is also a Faculty Research Fellow at the National Bureau of Economic Research (NBER). Her academic journey includes an AB in mathematics and the history of science from Harvard College and a PhD in economics from MIT. Prior to joining MIT, she taught at Harvard Business School and the Kellogg School of Management. AB in Mathematics and History of Science, Harvard College PhD in Economics, MIT Professor Li's research focuses on the economics of innovation and labor economics, with particular emphasis on how organizations evaluate ideas, projects, and people. She investigates the intersection of technology and workplace dynamics, especially how AI impacts worker productivity, the nature of work, and career trajectories in AI-intensive environments. Her work examines how businesses implement AI tools and the resulting effects on workforce composition and skill requirements. Her publication portfolio reveals a consistent focus on innovation economics, labor market dynamics, and the organizational implications of technology. Recent work increasingly centers on AI's workplace impact, with her 2025 Quarterly Journal of Economics paper 'Generative AI at Work' demonstrating how AI assistance increases worker productivity by 15% on average, with differential effects across experience levels. Her research combines rigorous economic analysis with practical business implications, spanning pharmaceutical innovation, hiring practices, promotion decisions, and gender gaps in the workplace. Best Paper Prize: 2017 FIRCG Conference Best Paper Prize: 2018 CEPR Management, Organizations, and Entrepreneurship Conference Best Paper Prize: 2017 Red Rock Conference Best Paper Prize: 2018 LBS Summer Finance Symposium Best Paper Prize: 2019 American Economic Journal: Applied Economics Professor Li's research has been supported by significant grants and has influenced both academic discourse and business practice. Her work on AI in the workplace has informed executive education programs at MIT Sloan, including 'Making AI Work: Machine Intelligence for Business and Society' and 'Artificial Intelligence' courses. She actively engages with media and business leaders to translate research findings into practical insights, frequently appearing in the New York Times, Wall Street Journal, and Economist. Her research on gender promotion gaps and hiring practices has particular relevance for organizational human resource policies. Professor Li is deeply embedded in MIT's AI research ecosystem, collaborating with colleagues across Sloan and CSAIL. She contributes to MIT's AI Expert Spotlight series, focusing on how businesses should implement AI responsibly and effectively. Her work bridges economic theory with practical business applications, particularly in understanding how AI transforms work processes and organizational structures.