جست‌وجوی استاد و پژوهشگر

• Bioengineering
• Biomedical Science
• Nanotechnology
• +۳ مورد دیگر

Joseph Maria Kumar Irudayaraj is a Professor at the University of Illinois at Urbana-Champaign, holding academic roles across multiple departments including Bioengineering, Materials Science and Engineering, and the Micro and Nanotechnology Lab. He serves as an Affiliate in Food Science and Human Nutrition and holds leadership positions such as Associate Director for Shared Resources at the Beckman Institute. His research interests span bioengineering, nanotechnology, spectroscopy, and environmental toxicology. Irudayaraj has authored over 400 publications, with recent work focusing on nanomedicine, hypoxia mitigation in medical contexts, and advanced sensor technologies. He is a recipient of prestigious awards including AAAS Fellow and Royal Society of Chemistry Fellowship. His research collaborations span global institutions, addressing interdisciplinary challenges in biomedical and environmental sciences. Education details are not explicitly stated, but his academic appointments imply a strong background in engineering and biomedical sciences. His research lab focuses on developing innovative diagnostic tools and materials, with applications in healthcare and environmental monitoring. Grants and funding details are not provided in the text, but his extensive publication record suggests significant research support.

Richard Gonzalezمشاهده پروفایل

استاد

• Judgment and Decision Making
• Applied Statistics
• Medical Decision Making
• +۴ مورد دیگر

Richard Gonzalez is the Amos N. Tversky Collegiate Professor of Psychology and Statistics at the University of Michigan, with joint appointments in Statistics and Marketing. He is affiliated with the Research Center for Group Dynamics, Center for Human Growth and Development, UM Comprehensive Cancer Clinic, and Center for Computational Medicine and Bioinformatics. He leads the Biosocial Methods Collaborative at the Institute for Social Research and co-founded the Design Science Program. He earned his Ph.D. in Psychology from Stanford University in 1990, with research focusing on judgment and decision making, applied statistics, and medical decision making. His work bridges theoretical models with practical applications in healthcare technology, product design, and aging studies. His recent research emphasizes AI-driven medical diagnostics (e.g., dementia detection via Vision Transformers), caregiving dynamics, and social determinants of health. He collaborates across disciplines, integrating methods from psychology, statistics, and computational science to address complex societal challenges. His affiliations span multiple centers, reflecting a commitment to interdisciplinary research. His work on dyadic health profiles and pandemic caregiving adaptations highlights his focus on systemic and relational aspects of health.

• Project Management
• Organization Studies
• Power Relations
• +۵ مورد دیگر

Stewart Clegg is a Professor in the School of Project Management at the University of Sydney's Faculty of Engineering. Previously Distinguished Professor of Management at UTS, he holds visiting roles at University of Stavanger and Nova School of Business. His research focuses on organization theory, power dynamics, and project management, with notable contributions to paradox theory and megaproject governance. Clegg has received numerous awards including EGOS Honorary Membership and the Edith Penrose Award. He advises on Asian-Pacific digital strategy initiatives and chairs studies on public-private partnerships. Education: D.Phil (Umeå) D.Litt (UTS) Ph.D (Bradford) BSc. Hons (Aston) Research Interests: Combining sociological theory with practical project challenges, Clegg explores how power structures shape organizational behavior and project outcomes. Key themes include improvisation in crisis management, paradoxical tensions in decision-making, and the governance of large-scale infrastructure projects. His work bridges academic rigor with real-world applications in public policy and corporate strategy. Publications: Clegg has authored/edited over 50 books including Frameworks of Power and Project Management: A Value Creation Approach . His recent work addresses AI in management education, PPP frameworks in smart cities, and pandemic crisis improvisation. Awards: EGOS Honorary Member (2020) AOM Fellow (2018) Edith Penrose Award (2020) Multiple Emerald Literati Awards Grants & Projects: Current ARC Linkage Grants investigate infrastructure PPPs, Sydney Water program delivery, and Asia-Pacific digital strategies. He leads ASSA workshops on PPP governance. Labs/Teams: Engaged with interdisciplinary teams at Sydney's School of Project Management and international collaborations at institutions like Nova School and Aston University.

• Microfoundations
• Innovation and value creation
• Applied Artificial Intelligence
• +۴ مورد دیگر

Carlos Vazquez Hernandez is a Lecturer at the Sydney Business School, University of Sydney, with expertise in behavioral sciences, innovation management, and technology-driven decision-making. His research explores how cognitive processes, social environments, and technological tools interact to influence organizational and societal outcomes. Education BBA Iberoamericana GradCert Educational Studies Higher Education, University of Sydney MIP Melbourne PhD, University of Sydney His research focuses on microfoundations of decision-making, innovation in technology contexts, and narrative-driven behaviors. Key areas include experimental methods in business research, AI-enhanced judgment, and behavioral strategies for sustainable innovation. His work bridges psychological insights with technological understanding to reshape management education. Recent publications (2018-2025) demonstrate a consistent focus on intuitive decision-making in innovation contexts, AI-human collaboration in forecasting, and behavioral economics. Thematic analysis reveals strong emphasis on cognitive biases in product development, cross-cultural business strategies, and empirical validation of heuristic approaches in management. Grants Augmented judgments: Human-AI interaction for better new product success predictions (2023 Business School Pilot Research Grant) He teaches courses spanning Ethical Decision Making, International Risk Management, and Innovation Strategy, preparing leaders for evolving business landscapes through integration of behavioral science and technology concepts.

Katherine Bodeمشاهده پروفایل

استاد

• Digital Humanities
• Computational Literary Studies
• Data-Rich Literary History
• +۵ مورد دیگر

Prof. Katherine Bode is a Professor of Literary and Textual Studies at the School of Literature, Languages & Linguistics, Australian National University (ANU). She leads research in computational literary studies, digital humanities, and Australian literary history. Her work bridges traditional literary scholarship with computational methods, focusing on digitized archives like 19th- and 20th-century newspapers. Education: PhD in English (University of Queensland, 2006); BA (Hons), PhD, Grad Cert in Education. Prior roles include ARC Postdoctoral Fellow at Sydney University and Lecturer at the University of Tasmania. She directed ANU’s Digital Humanities Hub (2011–2013) and has held ARC grants for projects on newspaper fiction and Irishness in Australian literature. From 2018–2023, she was an ARC Future Fellow exploring computing, reading, and writing in literary studies. Research Interests : Digital Humanities, computational methods for literary analysis, Australian literary history, book history, and publishing studies. Her work emphasizes data-rich approaches to cultural history and the ethical implications of AI in humanities research. Publications : Over 50 scholarly works, including books like A World of Fiction (2018) and Reading by Numbers (2012). Recent projects include analyzing global literary patterns in digitized newspapers and examining the intersection of AI with literary studies. Awards : Fellow of the Australian Academy of Humanities (2019); multiple ARC grants, including a 2023 Discovery Grant for Irishness in Australian literature. Grants & Projects : Currently leads projects like Close Relations: Irishness in Australian Literature (2023–2026) and Read all about it: Digital participation in Australian newspaper fiction (2021–2025). Prior grants include a 2020 Special Research Initiative on 20th-century newspapers. Labs/Teams : Associated with ANU’s Digital Humanities Hub and collaborates internationally on computational literary studies and AI ethics.

Uri Maozمشاهده پروفایل

دانشیار

• Computational Neuroscience
• Neuroethics
• Volition and Decision-Making
• +۶ مورد دیگر

Dr. Uri Maoz is an Associate Professor at Chapman University, affiliated with the Crean College of Health and Behavioral Sciences, Schmid College of Science and Technology, and Fowler School of Engineering. His research bridges computational neuroscience, decision-making, and moral philosophy, focusing on volition and the neural underpinnings of conscious action. He holds visiting roles at UCLA (Department of Anesthesiology) and Caltech (Biology and Bioengineering). Educations: Bachelor of Science in Computer Science and General Humanistic Studies, The Hebrew University of Jerusalem Ph.D. in Neural Computation, The Hebrew University of Jerusalem Research Interests: Dr. Maoz investigates how consciousness influences voluntary actions through empirical methods (EEG, intracranial recordings) and theoretical models. He explores ethical and legal implications of neuroscience, particularly regarding free will and decision-making. His work integrates machine learning for real-time neural data analysis. Key Projects: Leading the COVID-Dynamic longitudinal study on pandemic-related behavioral and emotional changes. Developing computational models of volition and neural correlates of intention. Collaborating across disciplines to address neuroethical questions. Visiting Roles: Visiting Assistant Professor at UCLA’s Department of Anesthesiology Visiting Associate in Biology and Bioengineering at Caltech Labs/Teams: Active in Chapman’s Institute for Interdisciplinary Brain and Behavioral Sciences and collaborates with the Anderson School of Management at UCLA.

Dominic Pettmanمشاهده پروفایل

استاد

• Posthumanism
• Critical Media Theory
• Continental Philosophy
• +۶ مورد دیگر

Dominic Pettman is a University Professor of Media and New Humanities at The New School, with joint appointments at The New School for Social Research and Eugene Lang College. He chairs the Liberal Studies Program and holds administrative roles like former Associate Dean. His academic career spans institutions including the University of Melbourne, the University of Geneva, and the American University of Paris. Pettman's research focuses on posthumanism, critical media theory, and affect theory. He explores topics like digital culture, animal studies, and environmental humanities. Notable works include Sad Planets (2024), Peak Libido (2021), and Infinite Distraction (2016). His articles critically engage with media, technology, and contemporary societal issues. His articles analyze themes such as digital distraction, post-erotic culture, and totemic media. Recent works highlight intersections of ecology, desire, and technology. He has received awards like the 2012 Distinguished Teaching Award and book nominations for media ecology prizes. Pettman teaches courses on media theory, critical studies, and posthumanism. His administrative roles and interdisciplinary approach reflect his commitment to bridging academic and cultural discourse.

Brian Larkinمشاهده پروفایل

استاد

• Media Studies
• Anthropology
• African Studies
• +۳ مورد دیگر

Brian Larkin is a Professor of Anthropology at Barnard College, Columbia University, and Co-Director of the Center for Comparative Media. His research focuses on media technologies in Nigeria, examining how cinema, radio, and digital media shape religious, political, and cultural dynamics. He holds affiliations with the Africana Studies program and the Human Rights Office at Columbia. He earned his PhD in Anthropology from New York University. His work explores media infrastructures, urban culture, and the intersections of technology with religion and modernity. Key themes include piracy, intellectual property, and the role of media in Islamic revival movements. Recent publications analyze media’s impact on religious movements, infrastructure theory, and cultural circulation. He co-directs the Comparative Media Initiative and sits on boards for the Institute for African Studies and the Buell Center for Architecture Studies. His forthcoming book, *Secular Machines*, examines media’s role in Nigeria’s Islamic movements. He advises graduate students and leads academic initiatives bridging media anthropology, technology studies, and global cultural analysis. His work is widely cited, reflecting contributions to media theory and African studies.

Richard N. Landersمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Gamification
• +۵ مورد دیگر

Richard N. Landers is the John P. Campbell Distinguished Professor of Industrial-Organizational Psychology at the University of Minnesota, where he leads the TNTLAB (Testing New Technologies in Learning, Assessment and Behavior). His research focuses on applying innovative technologies—including artificial intelligence, gamification, and virtual reality—to enhance psychometric assessment, employee selection, adult learning, and research methodology in organizational contexts. He serves as associate editor for the International Journal of Selection and Assessment and holds editorial roles in several other journals. Research Interests : Integration of AI in workplace assessment, gamification of training systems, virtual reality applications, and psychometric validation of technology-driven methods Key Contributions : Development of the Work-Related Social Media Questionnaire (WSMQ) and the Cambridge Handbook of Technology and Employee Behavior His work has been published in American Psychologist , Journal of Applied Psychology , and Psychological Methods , with interdisciplinary impact in Computers in Human Behavior . He maintains industry connections through Landers Workforce Science LLC and Aon's scientific advisory board, while also creating educational tools like the Web Scraping of Psychological Data tutorial and Online Automated Statistics Tutor . Scientific Recognition : Fellow of three major psychological societies Training : Mentors Ph.D. and undergraduate students in I-O psychology and technology applications

• Mathematical Modeling
• Kinetic Theory
• Socio-Economic Dynamics
• +۳ مورد دیگر

Giuseppe Toscani is a Full Professor at the Department of Mathematics of the University of Pavia. His research focuses on mathematical modeling of socio-economic systems, epidemiological dynamics, and kinetic theory. He explores topics such as wealth distribution, opinion formation, and epidemic spread using advanced methods in partial differential equations and statistical mechanics. Key research areas include analysis of inequality indices (Gini Index extensions), multi-agent systems, and nonlinear diffusion processes. His work intersects with applications in public health, economic policy, and social behavior modeling, emphasizing the interplay between theoretical frameworks and real-world phenomena. Education: Not explicitly detailed in provided texts, but his academic role implies a doctoral degree in Mathematics or related field. Labs/Teams: Affiliated with the Methods and Models for Applied Sciences research group. Grants/Awards: No specific grants or awards listed in the text. Recent publications address condensation patterns in opinion dynamics, multidimensional inequality metrics, and pandemic modeling through compartmental systems. His kinetic models provide foundational tools for understanding complex social and biological systems.

• Artificial Intelligence
• Machine Learning
• Spatial Reasoning
• +۳ مورد دیگر

Dr. Paulo Santos is a Senior Lecturer at Flinders University's College of Science and Engineering, specializing in Artificial Intelligence with a focus on explainable AI systems. He holds a PhD from Imperial College London (2003) and has over 20 years of research experience in spatial reasoning, machine learning, and robotics. His work bridges knowledge representation with deep learning to enhance transparency in AI decision-making. Dr. Santos has led research groups in Brazil, collaborated internationally, and secured funding from organizations like the British Council and EU. His expertise spans robotics, computer vision, and cognitive science. Notable achievements include the British Computer Science Machine Intelligence Prize (2004) and the Santander Prize for Science and Innovation (2006). Research interests include reinforcement learning for autonomous underwater vehicles (AUVs), scene graph generation in computer vision, and spatial reasoning for multi-robot systems. Recent work emphasizes sim-to-real transfer learning and fault recovery in underwater robotics.

Andy Charlwoodمشاهده پروفایل

استاد

• HR and people analytics
• AI and algorithmic management
• Healthcare workforce management
• +۲ مورد دیگر

Professor Andy Charlwood is a faculty member at the University of Leeds, affiliated with Leeds University Business School's Department of Management and Organisations. His primary research focuses on HR analytics, algorithmic management in HR, and healthcare workforce dynamics, with particular emphasis on how digital technologies transform HRM practices and worker experiences. He leads interdisciplinary research combining sociology, psychology, and economics approaches. His research interests include people analytics adoption, AI in human resources, healthcare workforce optimization, and digital transformation impacts on employment relations. Current projects examine relationships between workforce factors and care quality using machine learning methods. Professor Charlwood teaches HRM, strategic HRM, people analytics, and organizational studies at undergraduate and postgraduate levels. He has supervised numerous PhD students in areas including people analytics adoption, AI in HR, and healthcare workforce studies. Notable grants include funding from the UK National Institute for Health Research and collaborations with the HR Analytics Think Tank. He serves as Associate Editor for the International Journal of Human Resource Management and holds leadership positions in the British Academy of Management. His work has contributed significantly to understanding digital transformation in HR and labor relations in healthcare contexts.

Yichen Chenمشاهده پروفایل

پژوهشگر

• Applied Mathematics
• Theoretical Physics
• Medical Imaging
• +۳ مورد دیگر

Yichen (Kelly) Chen is affiliated with the University of Cambridge's Department of Applied Mathematics and Theoretical Physics (DAMTP), contributing to the Centre for Mathematical Imaging in Healthcare. Her research focuses on interdisciplinary applications of mathematics and physics in healthcare, including thermal imaging for security, federated learning methodologies, and immunology risk prediction. She has collaborated on projects involving neural networks, medical data analysis, and stem cell modeling. Her work bridges applied mathematics and clinical challenges, addressing topics such as non-contact thermal imaging systems, automated object detection via infrared thermography, and pitfalls in immunotherapy-related pneumonitis studies. She has also contributed to foundational studies on human pluripotent stem cells' role in modeling neurological diseases like Alzheimer’s. Key collaborations include partnerships with institutions like the BloodCounts! consortium and involve advancements in privacy-preserving healthcare technologies.

Alaa Ahmedمشاهده پروفایل

استاد

• Neuroeconomics
• Motor Control
• Decision-Making
• +۳ مورد دیگر

Alaa Ahmed is a Professor in the Department of Integrative Physiology at the University of Colorado Boulder. She holds a PhD in Biomedical Engineering from the University of Michigan (2005) and completed postdoctoral training at the University of Michigan Medical School (NIH fellowship) and the University of Cambridge (Whitaker International Fellow). Her research explores the neuroeconomic principles underlying sensorimotor decision-making, integrating neuroscience, economics, and engineering. Notable awards include the NSF CAREER Award and DARPA Young Faculty Award. Her work investigates how the brain optimizes movement costs, effort, and rewards, with implications for aging, neurological disorders, and motor adaptation. Education: PhD, Biomedical Engineering, University of Michigan (2005) Postdoctoral Fellowships: NIH, University of Michigan Medical School; Whitaker International Fellow, University of Cambridge Research Focus: Neuroeconomics of movement control, sensorimotor decision-making, metabolic cost optimization, and aging-related motor adaptations. Dr. Ahmed’s studies highlight how economic utility principles govern movement vigor and learning. Her lab uses interdisciplinary methods to quantify subjective costs (e.g., metabolic, temporal) and their impact on motor behavior. Media features include Forbes, Wired, and PBS. She explores translational applications for rehabilitation and human-machine interfaces.

Anuj Sharmaمشاهده پروفایل

استاد

• Big Data Analytics in Transportation
• Data-Driven Decision Making
• Traffic Signal Systems
• +۳ مورد دیگر

Dr. Anuj Sharma is a Professor in the Department of Civil, Construction, and Environmental Engineering at Iowa State University, serving as Co-Director of the REACTOR Lab and Director of FAST-TrAC. He holds affiliations with InTrans, CTRE, and REACTOR, and is CEO of ETALYC Inc. His research focuses on big data analytics, traffic signal systems, and real-time transportation decision-making. Education: PhD in Civil Engineering, Purdue University, 2008 MS in Civil Engineering, Texas A&M University, 2004 BE in Civil Engineering, Regional Engineering College, Rourkela, India, 2001 Research Interests: Dr. Sharma’s work leverages big data to improve transportation systems, including real-time analytics, traffic signal optimization, and smart rural infrastructure. His lab, REACTOR, integrates multiple data streams for policy and operational decisions. Publications: His recent work spans driver behavior analysis, autonomous systems, and traffic safety, with a focus on data-driven solutions. Notable projects include congestion modeling and pandemic-era traffic adaptations. Awards: Social Analytics Strategic Network (SASNet) Fellow, 2016 Outstanding Reviewer (Journal of Transportation Engineering), 2014 Pikarsky Award for PhD Dissertation, 2008 Grants & Projects: Secured over $13M in funding for 32+ projects, including work on adaptive traffic control, AI-driven data analysis, and rural safety. Active roles in TRB committees and journal reviewing highlight his leadership in the field. Labs & Teams: Leadership at REACTOR Lab drives innovations in transportation data management and real-time systems, collaborating with agencies like Iowa DOT.