جست‌وجوی استاد و پژوهشگر

Anjala S. Krishenمشاهده پروفایل

استاد

• Marketing
• Advertising
• Consumer Decision-Making
• +۷ مورد دیگر

Anjala S. Krishen is a Professor and Chair of Marketing & International Business at the Lee Business School, University of Nevada, Las Vegas (UNLV). She serves as Interim Dean of the Lee Business School and was appointed as Associate Dean of Executive Education and Corporate Engagement in 2025. Her research bridges marketing, consumer behavior, and analytics, with a focus on decision-making in complex environments, e-marketing, and social networking. B.A., Anthropology, Rice University B.S., Electrical Engineering, Rice University M.B.A., Virginia Polytechnic Institute M.S., Marketing, Virginia Polytechnic Institute Ph.D., Marketing, Virginia Polytechnic Institute Her research explores heuristics in consumer decision-making, AI and data-driven marketing, sustainability, and the impact of social media on behavior. She has pioneered theories on oppositional frameworks in decision-making and the role of contrast in simplifying choices. Recent publications highlight trends in marketing analytics, AI-human collaboration, sustainable practices, and social media’s influence on consumption. These works span disciplines such as computer science, environmental studies, and psychology. Notable awards include: UNLV Foundation’s Distinguished Teaching Award (2015) Barrick Scholar Award (2016) Faculty Opportunity Awards (2014, 2016) Krishen teaches marketing research, consumer behavior, and internet marketing at both undergraduate and graduate levels. She has also delivered a TEDx talk on oppositional thinking in decision-making and is a marathoner with a Taekwondo black belt.

Rianne Conijnمشاهده پروفایل

استادیار

• Learning Analytics
• Human-Technology Interaction
• Artificial Intelligence
• +۶ مورد دیگر

Rianne Conijn is an assistant professor in the Human-Technology Interaction group at Eindhoven University of Technology (TU/e), Netherlands. Her research bridges data-driven methodologies (machine learning, statistical modeling) with human-centered design to enhance learning analytics, explainable AI, and writing process analysis. She holds a joint PhD (cum laude) from Antwerp University and Tilburg University, and an MSc (cum laude) in Human-Technology Interaction from TU/e. Academic Background: MSc (2015, TU/e, cum laude), PhD (2020, Antwerp University & Tilburg University, cum laude). Research Focus: Learning analytics, keystroke logging, explainable AI for education, data dashboards, and self-regulated learning dynamics. Teaching: Courses in Advanced Research Methods, Human-AI Interaction, Behavioral Research Methods, and AI ethics in education. Her recent publications explore parallel language planning in writing, longitudinal self-regulated learning strategies, and generalizability of academic performance prediction models. She leads an NWO Veni project on Human-Centered AI in education, emphasizing tailored explanations for student-AI collaboration. Scientific awards include cum laude distinctions for her MSc and PhD, and the NWO Veni grant. Collaborative work spans institutions in the Netherlands, Norway, and the U.S., with applications in intelligent tutoring systems and ethical AI deployment in exams. Key trends across her work: integration of machine learning with educational theory, leveraging keystroke data for cognitive process insights, and prioritizing actionable, explainable AI systems for student support. Publications span journals like the Journal of Experimental Psychology: General , Computers and Education , and IEEE Transactions on Learning Technologies . Scientific Awards: NWO Veni grant for Human-Centered AI in education Cum laude for MSc and PhD Grants & Collaborations: National Science Foundation grants (2016868, 2302644) for biometric feedback in writing UK Research and Innovation grant (ES/W011832/1) for real-time AI scaffolding TU/e Boost! Program grant for self-regulated learning analysis Labs & Teams: EAISI Foundational (Eindhoven AI Systems Institute) Human Technology Interaction group at TU/e Collaboration with Norwegian Reading National Center (University of Stavanger) Project teams for Waterproof ITS and ProWrite grants

Anna H Grummonمشاهده پروفایل

استادیار

• Food Policy
• Health Behavior
• Nutrition Science
• +۴ مورد دیگر

Anna H. Grummon is an Assistant Professor of Pediatrics (General Pediatrics) and Health Policy at Stanford University School of Medicine. She serves as Director of the Stanford Food Policy Lab , conducting interdisciplinary research at the intersection of nutrition science, public health, and environmental sustainability. PhD & MSPH in Health Behavior, UNC Gillings School (2019) BA with Honors in Human Biology, Stanford (2011) Postdoctoral Fellowship, Harvard T.H. Chan School of Public Health (2019) Her research focuses on evaluating policy interventions to improve dietary quality through: Experimental studies of food labeling (e.g., nutrient warnings, ecolabels) Beverage taxation and food assistance programs Environmentally sustainable diets using simulation modeling Health communication effectiveness across diverse populations Recent publications in Nature Food and JAMA Network Open demonstrate: 35% reduction in dietary carbon footprint through simple substitutions Graphic labels increase attention to nutrition warnings (Appetite 2024) Weight-neutral labels reduce stigma while maintaining effectiveness Major recognitions include: 2024 Clinical Science Research Award (Stanford Pediatrics) 2023 Jules Hirsch Research Innovation Award (The Obesity Society) 2020 UNC Dean’s Distinguished Dissertation Award Dr. Grummon's work has been funded by: National Institutes of Health Robert Wood Johnson Foundation New York City Department of Health and featured in New York Times , Washington Post , and NPR coverage.

Marlen Gonzalezمشاهده پروفایل

استادیار

• Neuroscience
• Developmental Psychology
• Mental Health
• +۴ مورد دیگر

Marlen Gonzalez is an Assistant Professor in Psychology at Cornell University and founder/director of the Community Neuroscience Initiative . Her research explores how developmental contexts shape adult brain function and health outcomes. Her work bridges Neuroscience , Developmental Psychology , and Social Cognition , focusing on neural pathways linked to stress, reward, and mental health. Recent articles highlight interdisciplinary approaches combining fMRI, TMS, and epigenetics. Key trends in her publications include social determinants of health, transdiagnostic neurocircuitry, and behavioral ecology. She also explores methodological innovations like brain imaging and computational modeling. Her lab engages in community-based research, addressing low-income populations and environmental influences on brain development.

Qiu Wangمشاهده پروفایل

استاد

• Chemical Biology
• Medicinal Chemistry
• Synthetic Organic Chemistry
• +۵ مورد دیگر

Qiu Wang is a Professor of Chemistry at Duke University, where he leads an active research program at the chemistry-biology interface. He holds dual appointments as a Member of the Duke Cancer Institute and Faculty Network Member of the Duke Institute for Brain Sciences, reflecting his interdisciplinary work targeting cancer and neurodegenerative disorders through chemical approaches. His educational foundation includes a B.S. from Wuhan University (China, 1999), Ph.D. from Emory University (2005), and dual postdoctoral fellowships at Harvard University (2005-2007 and 2007-2011) in Chemistry. This rigorous training established his expertise in synthetic methodology and biological applications. Wang's research program focuses on three synergistic pillars: developing bioactive small-molecule probes for disease mechanisms, targeting epigenetic enzymes for novel therapeutics, and creating chemical tools for biomolecule labeling. His group integrates synthetic organic chemistry with molecular/cell biology, genetics, and proteomics to address challenges in cancer and neurodegeneration, emphasizing copper-catalyzed reactions and hyperpolarized imaging technologies. Analysis of his recent publications reveals dominant themes in copper-catalyzed alkene/diene difunctionalization for complex molecule synthesis and the development of $^{15}$N-hyperpolarized MRI probes for metabolic imaging. These works bridge fundamental methodology with biological applications, particularly in cancer metabolism and neurological disorders. His scientific recognition includes: Sloan Research Fellowship (2016) NSF CAREER Award (2015) Wang directs multiple major grants including the Pharmacological Sciences Training Program (2025-2030), New Amination Methods (2025-2030), and hyperpolarized MRI agent development (2025-2027). His Wang Group collaborates extensively across Duke's institutes, developing chemical probes that enable new biological insights and therapeutic strategies for challenging diseases.

Kathrin Kaufholdمشاهده پروفایل

دانشیار

• Academic writing
• Multilingual education
• Institutional communication
• +۳ مورد دیگر

Kathrin Kaufhold is an Associate Professor in Applied Linguistics at Stockholm University's Department of English. Her research examines academic writing practices in multilingual and interdisciplinary contexts, focusing on knowledge recontextualization, translanguaging strategies, and institutional communication dynamics. She coordinates undergraduate thesis projects and teaches academic writing, research methods, and sociolinguistics. Current research explores participation in academic writing dialogues Investigates English's role in multilingual university environments Examines institutional communication mediation processes Her work bridges theoretical frameworks from Vygotskian socio-cultural theory and genre pedagogy with practical applications in writing center operations and healthcare communication. She leads the Language and Power research network addressing contemporary linguistic challenges in polarized academic environments. Key collaborations include projects with: Karolina Wirdenäs (healthcare communication) Niina Hynninen (academic writing evolution) Maria Kuteeva (language policy in Nordic universities) Her teaching emphasizes: Academic writing development Research methodology applications Discourse analysis frameworks Applied linguistics principles

Scott Singerمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence
• U.S.-China Relations
• International Relations
• +۴ مورد دیگر

Scott Singer is a Research Fellow in the Technology and International Affairs Program at the Carnegie Endowment for International Peace, focusing on AI development and governance in China. He co-founded the Oxford China Policy Lab and is affiliated with the Oxford Martin School AI Governance Initiative . His research spans U.S.-China AI dynamics, cross-Strait relations, public opinion in technology governance, and UK foreign policy. Education: PhD in International Relations (University of Oxford, ongoing), MPhil with Distinction (University of Oxford), BA in Economics and Fundamentals (University of Chicago). Languages: Mandarin (professional fluency), English, Spanish. His work addresses global AI governance trends, emphasizing balancing development with risk management. Recent publications analyze China's AI ambitions, U.S. state-level AI laws, and frameworks for international AI safety cooperation. Scientific Awards Clarendon Scholar (University of Oxford) Singer’s expertise has been cited in Foreign Policy , Bloomberg , and Lawfare , and he has contributed to UK parliamentary discussions. He previously worked for the U.S. State Department and Senate, with a focus on China-facing policy capabilities.

Maximilian Schreieckمشاهده پروفایل

دانشیار

• Digital platform ecosystems
• Platform governance
• Digital platforms for social causes
• +۳ مورد دیگر

Maximilian Schreieck is an Associate Professor for Information Systems at the Department of Information Systems, Production and Logistics Management, University of Innsbruck. He earned his PhD at Technical University of Munich (2020) and completed habilitation at University of Innsbruck (2025). Previously a DFG Walter Benjamin Fellow at Wharton School (2021-2022). Education: PhD in Information Systems, Technical University of Munich (2020) Habilitation in Information Systems, University of Innsbruck (2025) His research focuses on digital platform ecosystems, platform governance, digital platforms for social causes, and digital transformation of established companies. He has published extensively in top journals like MIS Quarterly, Information Systems Journal, and Electronic Markets. Recent publications address generative AI ecosystems, EU digital regulation impacts, cloud platform adoption, and multi-platform strategies. His work combines technical platform analysis with organizational and regulatory implications. Scientific awards include: Best Paper Award, AIS SIG Grounded Theory Methodology (2021) Paper of the Year Award, AIS SIG Electronic Markets (2020) His research has practical applications in automotive, banking, and refugee integration platforms, with collaborations at SAP, BMW, and EU policy contexts. Teaching activities include master's theses supervision and courses on digital platform management.

Reinhard Prüglمشاهده پروفایل

استاد

• Family Business Management
• Entrepreneurship
• Strategic Leadership
• +۵ مورد دیگر

Reinhard Prügl is a Professor and Head of the Institute for Family Business at WU Wien (Vienna University of Economics and Business). He holds a doctorate from WU Wien and conducted postdoctoral research at MIT Sloan School of Management. Previously, he held a chaired professorship at Zeppelin University where he established the Friedrichshafen Institute for Family Entrepreneurship. His research focuses on the intersection of management, entrepreneurship, and strategy with emphasis on: Leadership and generational succession in family firms Family governance structures Innovation and marketing in family business contexts Identity and reputation management His publications demonstrate strong thematic consistency in family business dynamics while methodologically evolving from qualitative case studies (2000s) to experimental designs and cross-cultural comparisons (2020s). Research frequently addresses paradox resolution and crisis management in family enterprises. Awards & Honors: Best Paper Awards from IFERA, EURAM, AMA, and WU Wien Rudolf-Sallinger-Preis for doctoral dissertation Ehrenpreis for leadership in family business research Teaches courses on Family Business Management, Leadership, and Marketing at WU Wien. Leads research projects including comparative studies on family firm reputation across Germany, India, and the United States.

• Computational Neuroscience
• Neurobiology
• Visual Cortex
• +۳ مورد دیگر

Mario Dipoppa is an Assistant Professor in the Department of Neurobiology at the University of California, Los Angeles. His research focuses on computational neuroscience, cortical adaptation, and neural circuit dynamics. Position: Assistant Professor, Neurobiology Email: mdipoppa@g.ucla.edu Research Interests: Mario's work explores how neural populations in the visual cortex adapt to sensory input, with a particular emphasis on the interplay between neural oscillations, synchrony, and cognitive functions like working memory. His recent studies investigate optimal coding strategies in visual adaptation, contextual modulation mechanisms, and the role of transcriptomic diversity in cortical interneuron function. Publications Trends: His research spans computational modeling of cortical networks, visual neuroscience, and neurogenetic analyses of brain circuits. Early work (2013-2016) focused on working memory mechanisms and neural oscillations, while recent studies (2022-2025) emphasize visual cortex adaptation, population coding, and cross-species circuit comparisons.

Denise Sekaquaptewaمشاهده پروفایل

استاد

• Stereotype Threat
• Implicit Bias
• Prejudice
• +۵ مورد دیگر

Denise Sekaquaptewa is Professor of Psychology and Associate Chair at the University of Michigan's College of Literature, Science, and the Arts, with affiliations in Organizational Studies. Her research examines how stereotyping and prejudice impact academic performance and motivation, particularly for women and underrepresented groups in STEM fields. Her educational background includes a Ph.D. from Ohio State University. Ph.D., Ohio State University Sekaquaptewa's experimental work investigates implicit stereotyping, stereotype threat, and category salience effects on test performance. Current projects analyze environmental influences on women in STEM and stereotypes' role in interracial communication. She develops interventions to mitigate bias through social norm messaging and behavioral modeling, emphasizing real-world applications in educational settings. Her recent publications reveal a concentrated focus on microaggressions, mentorship dynamics, and gender/racial bias in STEM education through experimental and longitudinal approaches. The research spans social psychology, educational psychology, and diversity science, consistently targeting actionable solutions for inclusion challenges. Key scientific recognition includes: Distinguished Service Award, Society for Psychological Study of Social Issues (2015) Harold R. Johnson Diversity Service Award, University of Michigan (2014) Sarah Goddard Power Award for advancing women's status (2012) Association for Psychological Science Fellow (2012) She has secured over $1.2 million in National Science Foundation funding as PI/co-PI for projects addressing microaggressions in engineering teams and women's participation in STEM. Her grants demonstrate sustained commitment to translating research into institutional change through evidence-based interventions. Sekaquaptewa leads the Sekaquaptewa Lab, which employs experimental methods to study bias mechanisms while collaborating with interdisciplinary teams across psychology, engineering, and organizational studies to develop scalable inclusion strategies.

Kevin J. Kircherمشاهده پروفایل

استادیار

• Energy Infrastructure Optimization
• Climate Change Mitigation
• Power Grid Interaction
• +۴ مورد دیگر

Kevin J. Kircher is an Assistant Professor at Purdue University in the Departments of Mechanical Engineering and (by courtesy) Electrical and Computer Engineering. He works in Herrick Laboratories and the Institute for Control, Optimization and Networks, focusing on optimization and control strategies for distributed energy resources (DERs) to address climate change, pollution, and energy equity issues. Education: PhD in Mechanical Engineering (Cornell University), Postdoctoral Research in Electrical Engineering (MIT) His research spans DERs like electric vehicles, solar PV, and heat pumps, with a focus on grid interaction and energy system modeling for business/government decisions. He co-developed EDGIE, an open-source MATLAB/Python tool for electrification impact simulation. Recent publications analyze methane emissions in energy infrastructure, predictive HVAC control systems, and grid capacity challenges for residential electrification. His team has secured multiple ASHRAE grants and fellowships, with field studies on thermal storage and grid protection protocols. Mentorship priorities include diversity in energy research, with active recruitment of graduate students skilled in optimization, control theory, and thermal sciences. He leads a course on DERs with open-access materials.

Ken MacLeanمشاهده پروفایل

استاد

• International Development
• Holocaust and Genocide Studies
• Human Rights Documentation
• +۷ مورد دیگر

Ken MacLean is Professor of International Development and Social Change at Clark University , where he also holds faculty appointments at the Strassler Center for Holocaust and Genocide Studies and the Center for Gender, Race, and Area Studies (CGRAS) . With more than two decades of experience working with NGOs across Southeast Asia, he investigates state-sponsored violence, forced migration, and the politics of humanitarian evidence. Education Ph.D. in Anthropology, University of Michigan, Ann Arbor (2005) M.S. in Natural Resources and the Environment, University of Michigan, Ann Arbor (2004) M.A. in Anthropology, University of Michigan, Ann Arbor (1998) B.A. in Anthropology, Princeton University (1990) Research Interests MacLean’s scholarship is interdisciplinary and archive-driven, interrogating how human-rights facts are produced, authenticated, and deployed. His work spans three major tracks: An ethnographic study of human-rights archives concerning alleged war crimes and crimes against humanity in Myanmar. Analysis of open-source intelligence and AI-generated evidence in international criminal proceedings. Future-oriented modeling of climate-induced displacement and large-scale violent conflict over essential resources. Publications & Impact MacLean is the author of three major monographs— The Government of Mistrust (2013), Crimes in Archival Form (2022, short-listed for the ICAS 2023 Best Book Prize), and Genocide by Attrition (2022)—along with dozens of peer-reviewed articles and policy reports. His recent work interrogates digital storytelling, satellite imagery, and AI-generated evidence in documenting ethnic cleansing and genocide. Awards & Fellowships ICAS 2023 Best Book Prize in the Social Sciences (short-list) Fulbright-Hays Program Fellowship Fulbright IIE Fellowship Wenner-Gren Foundation Grant Mellon Foundation Grant Jacob K. Javits Fellowship Grants & Visiting Positions Research support has come from the Fulbright-Hays Program, Wenner-Gren Foundation, Mellon Foundation, and U.S. Department of Education, among others. He has held visiting fellowships at: Institute for War, Holocaust and Genocide Studies (NIOD), Netherlands (Spring 2023) Mahidol University Institute of Human Rights and Peace Studies, Thailand (Fall 2021) University of Kyoto Center for Southeast Asian Studies, Japan (Fall 2016) Labs, Teams & Future Work MacLean collaborates with interdisciplinary teams at the Strassler Center and CGRAS, and he is currently developing two new book projects: an ethnographic study of human-rights archives in Myanmar and an examination of Vietnamese amateur pundits shaping South China Sea territorial disputes. His ongoing research continues to explore the social lives of documents—both material and digital—and their material effects on justice and accountability.

Elizabeth David-Barrettمشاهده پروفایل

استاد

• Corruption and Anti-Corruption Policy
• Governance and Integrity
• Public Procurement
• +۸ مورد دیگر

Professor Elizabeth David-Barrett is Professor of Governance and Integrity (Politics) at the School of Law, Politics and Sociology at the University of Sussex, where she joined in 2014. She serves as Director of the Centre for the Study of Corruption (CSC), leading research, teaching, and policy impact activities. Previously, she spent four years at Saïd Business School, University of Oxford. Her educational background includes a DPhil in Politics from Oxford, an MA in Slavonic and East European Studies from the University of London, and a BA in Philosophy, Politics and Economics from Oxford. Prior to academia, she worked for think tanks including the Institute for Public Policy Research and the Centre for European Reform, political risk consultancy Oxford Analytica, and as a journalist in Croatia and Hungary for The Economist, Financial Times, BBC World Service, and Business Central Europe. David-Barrett's research focuses on corruption and policy responses to corruption, with particular expertise in clientelism and favoritism in government contracting, corruption risks in aid spending, and anti-corruption regulation. She leads the Curbing Corruption in Procurement project, exploring how big data analytics can identify corruption risks in public procurement, which has informed World Bank approaches to risk management. Her work also examines international norm diffusion in anti-corruption, including 'hard law' like anti-bribery laws and 'soft law' private regulation. Her recent publications demonstrate a clear trajectory toward analyzing state capture as a systemic threat to democracy, with increasing focus on the economic consequences of corruption, measurement methodologies for grand corruption, and context-specific definitions of corruption. Her work bridges academic research with practical policy applications, particularly in public procurement analytics and anti-corruption tool development. Chair of the first ever Academic Roundtable of the G20 Anti-Corruption Working Group (2020) Head of the Global Programme on Measuring Corruption at the International Anti-Corruption Academy, Vienna (2022-23) Chair of the Board of Spotlight on Corruption (2019-22) Trustee of Transparency International UK (2024) Specialist Adviser to the UK House of Commons Standards Committee David-Barrett has successfully secured substantial research funding from FCDO, DFID, British Academy, and other organizations, totaling millions of pounds for corruption research. She has advised the UK Department for International Development on its International Anti-Corruption programme and the UK Cabinet Office on the 2017-22 National Anti-Corruption Strategy. Her engagement extends globally through organizing 'hackathons' in Ghana, Uganda and Tanzania with civil society activists on data analysis for identifying grand corruption. She also co-hosts the Kickback the Global Anticorruption Podcast and has provided expert testimony to parliamentary select committees.

Melanie Baljkoمشاهده پروفایل

دانشیار

• Human-centered computing
• Participatory design
• Assistive technology
• +۵ مورد دیگر

Melanie Baljko is an Associate Professor in the Department of Electrical Engineering and Computer Science at York University's Lassonde School of Engineering. She directs the Practices in Enabling Technologies (PiET) Lab and participates in graduate programs in Science & Technology Studies, Critical Disability Studies, Digital Media, and Interdisciplinary Studies. Research Focus: Human-centered computing, participatory design, maker methods, assistive technology, augmentative communication, and computer-supported speech therapy Teaching: Graduate courses in critical technical practice and human-computer interaction; undergraduate courses in user interfaces, human-computer interaction, and computer science projects Publications highlight her work in accessible technology for Parkinson's patients, DIY assistive technologies in Kenya, and participatory design frameworks. She collaborates with the University Health Network – Toronto Rehabilitation Institute as an Affiliate Scientist. Key Themes: Accessibility, equity in technical design, and empowering marginalized communities through technology. Recent work examines transit app accessibility, disability inclusion in clinical education, and mixed reality teaching tools.