جست‌وجوی استاد و پژوهشگر

Lynn Carol Millerمشاهده پروفایل

استاد

• Health Communication
• Virtual Environments
• Behavioral Neuroscience
• +۷ مورد دیگر

Lynn Carol Miller is a Professor of Communication at the University of Southern California’s Annenberg School for Communication and Journalism. Her research focuses on leveraging virtual environments, AI agents, and computational models to address health-related social behaviors, particularly in HIV/AIDS prevention and mental health. Funded by NIH, CDC, and DARPA (over $20M), her work integrates neuroscience, behavioral science, and technology. She pioneered interventions like SOLVE (Socially Optimized Learning in Virtual Environments) and Systematic Representative Design. Education: PhD in Personality Psychology from University of Texas at Austin. Key areas include health communication, gaming for behavior change, and computational modeling of social processes. She has supervised 17 doctoral students and collaborators across universities globally. Research emphasizes scalable interventions using fMRI-compatible tools and virtual reality. Notable contributions include reducing shame in HIV prevention games and analyzing neural correlates of risk-taking behaviors. Awards include the Early Career Award (2003) and ICA’s Outstanding Contribution to Communication Science (2020). Labs/Teams: Active in multidisciplinary teams at USC and collaborating institutions, focusing on virtual environment design, AI-driven interventions, and neurobehavioral studies. Current projects explore AI for public health and inclusive avatar representations in social VR.

Julie S. Downsمشاهده پروفایل

استاد

• Decision Science
• Psychology
• Risk Communication
• +۵ مورد دیگر

Julie S. Downs is a Professor of Psychology and Decision Science and Associate Dean of Research at Carnegie Mellon University’s Dietrich College of Humanities and Social Sciences. She directs the Center for Risk Perception and Communication, focusing on social influences in decision-making, particularly through behavioral interventions in risky domains like adolescent sexual behavior, food choices, online privacy, and vaccination. Her interdisciplinary work bridges public health, computer science, and economics. Education: Ph.D. in Social Psychology, Princeton University; A.B. in Psychology, UC Berkeley Leadership: Served on editorial boards (Psychological Science, Developmental Review), grant review panels (NIH, NSF), and institutional review boards (CMU, Disney Research) Her research emphasizes improving communication of technical information through Usable privacy and security frameworks Calorie labeling and dietary behavior Sexual health interventions for adolescents Behavioral responses to health risk calculators Decision-making in critical care Analysis of her 15 most recent publications reveals a focus on adolescent health, risk communication, and digital interventions. Awards include Platinum Remi, Aurora, and Telly Awards for her behavioral interventions’ impact. Scientific Contributions: Behavioral interventions reducing STI risk Contextualized risk communication strategies Grant-funded studies (NIH, NSF) Editorial leadership in psychological and public health journals Advising: Mentors current Ph.D. students (Aaron Balleisen, Trent Cash, Ramon Silvera Zumaran, Wenzhuo Xu) and guides alumni (Alison Butler, Samantha Horn, Stephanie Permut). Labs: Leads the Downs Research Lab, developing interactive tools (Seventeen Days, Your Move, Hold That Thought, READY-Girls) to address contraception, STIs, and psychological stigma.

• Artificial Intelligence
• Decision-Making Systems
• Fuzzy Logic
• +۵ مورد دیگر

Núria Agell Jané is a Full Professor at ESADE Business School , Universitat Ramon Llull, specializing in Artificial Intelligence and Decision-Making Systems. She leads the JUICE (Judgements and Decisions in the Market Place) research group and the ESADE D3 - Institute for Data-Driven Decisions . Doctorate in Applied Mathematics (Qualitative Reasoning Modelling), UPC-BarcelonaTech Bachelor's in Mathematics, University of Barcelona Her research focuses on Artificial Intelligence , Decision-Making Systems , and Fuzzy Logic , with applications in Business, Marketing, and Sustainability. Recent publications emphasize Hesitant Fuzzy Linguistic Term Sets , Consensus Modeling , and AI in Sustainable Development . She coordinates multiple publicly and privately funded projects applying AI to Business and Marketing challenges. As PhD Programme Director (2005-2013) and current Department Director of Operations, Innovation and Data Sciences , she has shaped academic and research strategies at ESADE. Her work spans collaborations with institutions like LAAS-CNRS (France) and University of Edinburgh Business School , with over 40 journal publications and 50 conference contributions. She has directly supervised 11 PhD students in AI and Decision Sciences.

• Natural Language Processing
• Explainable AI
• Fact-Checking
• +۴ مورد دیگر

Isabelle Augenstein is a Professor at the University of Copenhagen, Department of Computer Science (DIKU), where she heads the Copenhagen Natural Language Understanding (CopeNLU) research group and the Natural Language Processing section. She is also a co-lead of the Danish Pioneer Centre for Artificial Intelligence, Denmark's largest research center initiated by the Danish Ministry of Higher Education and Science. In October 2022, she became Denmark's youngest ever female full professor. Dr. Augenstein earned her undergraduate degree in Computational Linguistics and Psychology from Heidelberg University, followed by a Master's in Computational Linguistics. She completed her PhD in Computer Science at the University of Sheffield under the supervision of Dr. Diana Maynard and Prof. Fabio Ciravegna. In 2021, she earned a Habilitation at the University of Copenhagen in Explainable Fact-checking. Professor Augenstein's primary research focuses on fair and accountable Natural Language Processing, with particular emphasis on explainability, factuality, and bias detection. Her work spans multiple subfields including automated fact-checking, stance detection, gender bias analysis, and cultural bias in language models. She has pioneered research in explainable fact-checking, developing methods that not only predict claim veracity but also provide meaningful explanations of the decision-making process. Her research group has produced numerous influential papers on measuring model fragility, quantifying gender biases, and developing robust fact-checking systems that account for distribution shifts. Her significant contributions have been recognized with several prestigious awards: ERC Starting Grant on 'Explainable and Robust Automatic Fact Checking' DFF Sapere Aude Research Leader fellowship on 'Learning to Explain Attitudes on Social Media' Karen Spärck Jones Award from the British Computing Society and Bloomberg Hartmann Diploma Prize from the Hartmann Foundation Member of the Royal Danish Academy of Sciences and Letters since 2024 Professor Augenstein has secured significant research funding including her ERC Starting Grant supporting five years of blue-sky research. She actively mentors PhD students and postdoctoral researchers through her 'ExplainYourself' project. She served as President of SIGDAT (which organizes the EMNLP conference series), having previously held leadership roles as Vice President and Vice President-Elect. She is a co-founder of Widening NLP (WiNLP), an initiative to increase diversity in the NLP community, and maintains the BIG Directory of underrepresented groups in NLP. She leads the Copenhagen Natural Language Understanding (CopeNLU) research group, which relocated to the historic Østervold Observatory in Copenhagen's Botanical Gardens in 2023. The group focuses on developing methods for explainable and robust natural language understanding, with applications in fact-checking, bias detection, and social media analysis. Professor Augenstein also co-leads the Speech and Language collaboratory at the Pioneer Centre for Artificial Intelligence, where her team investigates how language models can better serve diverse populations while maintaining accountability and transparency.

Rafeef Garbiمشاهده پروفایل

استاد

• Artificial Intelligence
• Medical Image Computing
• Computer Vision
• +۷ مورد دیگر

Dr. Rafeef Garbi is a Professor at the Department of Electrical and Computer Engineering, University of British Columbia, and the Founder/Director of the Biomedical Signal and Image Computing Laboratory (BiSICL). Her multidisciplinary research integrates artificial intelligence, computer vision, and medical imaging for clinical applications in pediatric orthopedics, oncology, and neurology. PhD (Chalmers University, Sweden), MSc (with distinction), Technical Licentiate Research Focus: Specializing in Medical Image Computing and Visual Computing , her lab develops AI-driven solutions for: Automated segmentation and analysis of multi-dimensional biomedical data Clinically-translatable biomarkers for disease assessment Computer-aided intervention systems in surgical contexts Scientific Leadership: UBC Killam Faculty Research Fellow Peter Wall Institute for Advanced Studies Early Career Scholar Senior IEEE Member & Founding IEEE EMBS Vancouver Section Member Key Collaborations: Active in the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society and CAIDA: UBC ICICS Centre for Artificial Intelligence Decision-making and Action. Her team bridges engineering, medicine, and computational biology through translational research.

• Artificial Intelligence
• Cybersecurity
• Machine Learning
• +۷ مورد دیگر

Vahid Behzadan is an Assistant Professor in Data Science and Computer Science at the University of New Haven's Tagliatela College of Engineering. He leads the SAIL Lab, focusing on AI safety and security, particularly in autonomous systems like driverless cars and smart cities. His work addresses adversarial attacks on machine learning and reinforcement learning, with applications in cybersecurity and healthcare. Behzadan has held prior positions at Kansas State University, University of Nevada Reno, and University of Birmingham, UK. He holds a Ph.D. in Computer Science and an M.S. from the University of Nevada Reno, and a B.Eng. from the University of Birmingham. His research spans AI ethics, cybersecurity, and complex systems. Behzadan advises the UNH hacking team and actively participates in policy initiatives, including Connecticut's AI Working Group and the Connecticut AI Alliance. He has contributed to over 30 peer-reviewed articles and frequently engages in media discussions on topics like AI safety, facial recognition, and cybersecurity threats. Key research areas include adversarial machine learning, AI forensics, and ethical AI design. His work bridges theoretical advancements with real-world applications in transportation, healthcare, and national security. Behzadan collaborates with organizations such as the Transportation Research Laboratory (TRL) and Open Web Application Security Project (OWASP).

Alla Shefferمشاهده پروفایل

استاد

• Geometry Processing
• Computer Graphics
• Discrete Geometry
• +۷ مورد دیگر

Alla Sheffer is a Professor and Associate Head of Faculty Affairs in the Department of Computer Science at the University of British Columbia, Faculty of Science. She is affiliated with multiple research centers including CAIDA (Centre for Artificial Intelligence Decision-making and Action), the Institute of Applied Mathematics, and ICICS (Institute for Computing, Information and Cognitive Systems). B.Sc., Hebrew University, Jerusalem (1991) M.Sc., Hebrew University, Jerusalem (1995) Ph.D., Hebrew University, Jerusalem (1999) Postdoctoral Research Associate, University of Illinois, Urbana-Champaign (1999-2001) Assistant Professor, Technion, Israel (2001-2003) Assistant Professor, University of British Columbia (2003-2008) Associate Professor, University of British Columbia (2008-present) Professor Sheffer's research focuses on geometry processing, addressing algorithmic challenges in digital shape modeling and manipulation. Her work primarily deals with discrete geometry representations, specifically meshes (polygonal model representations), with applications in computer graphics and computer-aided engineering. She utilizes tools from computational and differential geometry, discrete mathematics, and graph theory to generate, manipulate, and edit discrete geometric models. Her research spans virtual and augmented reality, visual computing, and 3D modeling, with significant contributions to sketch-based modeling, mesh processing, and cloth simulation. The 15 most recent publications reveal a consistent research trajectory in geometry processing, with recent work focusing on vector sketch processing, VR drawing tools, and advanced mesh manipulation techniques. Her work demonstrates a strong connection between human perception and computational methods, particularly in the interpretation of freehand sketches and the generation of perceptually-accurate geometric representations. The recurring themes across her publications include flowlines, curve networks, mesh parameterization, and the application of perceptual studies to improve algorithmic outputs. Eurographics Fellow ACM Fellow IEEE Fellow Royal Society of Canada Fellow SIGGRAPH Academy Member UBC Killam Research Prize NSERC Discovery Accelerator Supplement IBM Faculty Award Professor Sheffer has supervised numerous doctoral and master's students, with recent theses focusing on geometric mesh processing, vector sketch interpretation, VR drawing tools, and garment modeling. Her research group maintains strong connections with industry through various partnerships and has received substantial grant funding to support their innovative work in geometry processing and computer graphics. She teaches courses in computer graphics, geometric modeling, and video game programming, contributing significantly to both undergraduate and graduate education in computer science.

Janet S. Dufekمشاهده پروفایل

استاد

• Biomechanics
• Locomotion
• Injury Prevention
• +۵ مورد دیگر

Janet S. Dufek, Ph.D., is a Professor at the University of Nevada, Las Vegas (UNLV) in the Department of Kinesiology and Nutrition Sciences . She also serves as Vice Provost for Faculty Affairs and holds adjunct appointments at the University of Nebraska at Omaha and Rocky Mountain University of Health Professions . Her career spans leadership roles including Associate Dean of the School of Integrated Health Sciences and Director of the Interdisciplinary Health Sciences Ph.D. Program . Education: Ph.D. in Biomechanics (University of Oregon, 1988) M.S. in Scientific Foundations of Kinesiology (Illinois State, 1982) B.S. (Summa Cum Laude) in Physical Education (University of Wisconsin-Superior, 1981) Research Interests focus on biomechanical mechanisms of locomotion , injury prevention , and clinical gait assessment . She specializes in jump-landing dynamics , movement variability , and performance enhancement for clinical populations , advocating for interdisciplinary approaches to solve complex health science problems. Her 15 most recent publications (2019-2024) reflect trends in concussion biomechanics , autism spectrum disorder gait analysis , machine learning applications in diabetes progression , and advanced sensor technology for movement studies . Articles explore topics from head acceleration effects on lower extremity function to weighted vest interventions in autism therapy . Scientific Awards include: Fellow, American College of Sports Medicine UW-Superior Hall of Fame (Scholar-Athlete, 2007) Membership in Phi Kappa Phi and Sigma Xi honor societies As a dedicated mentor , she supervises graduate research projects and advises on interdisciplinary health sciences . Her lab ( REBEL Research Group ) pioneers work in biomechanical injury prevention and gait variability assessment , utilizing pressure-measuring insoles and wearable inertial sensors.

Albert Yoonمشاهده پروفایل

استاد

• Law and Economics
• Legal Ethics
• Artificial Intelligence in Law
• +۴ مورد دیگر

Albert Yoon is a Professor and holds the Michael J. Trebilcock Chair in Law and Economics at the University of Toronto Faculty of Law. He previously served as Associate Dean (Research & Curriculum) from 2018–2020 and has held academic positions at Northwestern University. His research focuses on labor markets in legal professions, legal ethics, and applications of AI to law. He co-founded Blue J, an AI startup aiding tax and legal professionals. Education: BA from Yale, JD and PhD (Political Science) from Stanford. Professional experience includes clerkship at the U.S. Court of Appeals for the Sixth Circuit. Fellowships include the Pierre Elliott Trudeau Fellowship (2022), Princeton University, and Robert Wood Johnson Foundation. Research interests span legal economics, judicial behavior, and technology's impact on law. Notable awards include the Ronald H. Coase Prize and American Law Institute membership. His work bridges empirical legal studies and computational methods, addressing topics like Supreme Court clerkships, AI-driven legal predictions, and tax law analytics. Publications include over 47 scholarly articles in top journals like Chicago Law Review , Stanford Law Review , and Journal of Law & Economics . Recent work examines AI in legal practice, gender disparities in M&A legal teams, and judicial decision-making dynamics.

Matthew Jensenمشاهده پروفایل

استاد

• Computer-Aided Decision-Making
• Human-Computer Interaction
• Knowledge Management
• +۶ مورد دیگر

Matthew L. Jensen is the W.P. Wood Presidential Professor of Management Information Systems at the University of Oklahoma's Price College of Business, where he also co-directs the Center for Applied Social Research. He holds a Ph.D. from the University of Arizona (2007). His research focuses on decision-making processes in mediated environments, with emphasis on online credibility assessment, cybersecurity training efficacy, and deception detection. He has secured over $9.7M in grants from NSF, Air Force Office of Scientific Research, and other agencies. Education: Ph.D., Management Information Systems, University of Arizona, 2007 Research explores how individuals evaluate information credibility in AI-driven interactions, phishing susceptibility mitigation through gamified training, and ideological messaging on extremist websites. His work appears in top journals like MIS Quarterly and Information Systems Research. Recent projects include developing AI tools for duplicate comment detection in regulatory processes and analyzing phishing vulnerability across industries. Key achievements include a $9.7M grant portfolio and leadership in interdisciplinary teams investigating digital deception and cybersecurity collective action. His training games have advanced bias mitigation strategies in both organizational and educational contexts.

Stavros Vougioukasمشاهده پروفایل

استاد

• Agricultural Robotics
• Mechanization of Specialty Crops
• Automation in Agriculture
• +۷ مورد دیگر

Stavros Vougioukas is a Professor and Vice Chair in the Department of Biological and Agricultural Engineering at the University of California, Davis, within the College of Engineering. He is actively involved in research and graduate mentorship, focusing on agricultural robotics and automation for specialty crops. His work integrates engineering solutions to improve efficiency and sustainability in farming systems. His research interests include agricultural robotics , automation of harvesting processes , sensors and control systems , precision agriculture , and wireless sensor networks for orchard environments . He develops technologies for robotic and robot-aided harvesting, particularly in strawberries and orchard crops, emphasizing optimal management of inputs and yield monitoring. The recent publications reflect a strong trend in robotics integration , real-time sensing , and data-driven decision-making in agriculture. His work spans mechanical design, signal processing, path planning, and structural durability, indicating a multidisciplinary approach to solving agricultural challenges through engineering innovation. Scientific Awards and Recognition: $1.6M grant (2021) to develop innovative fruit-picking machines CITRIS Seed Award (2023) for engineering solutions in agriculture Professor Vougioukas mentors graduate students and leads funded research projects focused on automation and robotics in agriculture. He has secured significant grants, including a $1.6M award for fruit-picking robotics, demonstrating strong research leadership. His collaborations span institutions and disciplines, particularly in agricultural machinery design and sensor network deployment. He leads research efforts in agricultural automation, particularly through projects involving robot-aided harvesting , orchard navigation systems , and wearable worker tracking devices . His lab contributes to the development of intelligent systems for sustainable farming, integrating mechanical, electronic, and computational components.

Kristen Jones-Bonofiglioمشاهده پروفایل

دانشیار

• Health Care Ethics
• Mental Health
• Well-being
• +۳ مورد دیگر

Dr. Kristen Jones-Bonofiglio is an Associate Professor and Director of the School of Nursing at Lakehead University. She also serves as Director of the Centre for Health Care Ethics within the Faculty of Health & Behavioural Sciences. Her work bridges nursing practice with ethical frameworks, focusing on moral distress and compassionate care. Academic Background: PhD in Educational Studies (Cognition & Learning Stream), Lakehead University MPH in Nursing Specialization, Lakehead University BScN, Lakehead University Research Focus: Dr. Jones-Bonofiglio's research addresses ethical decision-making in health care, moral distress, teaching compassion in nursing, substance use in inpatient settings, and digital storytelling. She integrates theory with practical applications, such as patient care planning using computer-aided design. Publication Trends: Recent works include pandemic ethics, rural health care frameworks, nurse practitioner retention, and patient-oriented research. Many publications analyze moral distress in acute and community settings, while others explore digital storytelling and educational innovations. Scientific Contributions: AMS Phoenix Fellow Co-editor of Health Care Ethics through the Lens of Moral Distress (2020) Editorial Board, Global Bioethics Enquiry Leadership & Collaboration: She leads the Centre for Health Care Ethics and contributes to EPID@Work Research Institute. Her affiliations include the Centre for Research on Aging & Health. She supervises student theses and emphasizes interdisciplinary collaboration.

David Castañónمشاهده پروفایل

استاد

• Stochastic Control
• Estimation Theory
• Game Theory
• +۶ مورد دیگر

David Castañón is a Professor of Electrical and Computer Engineering (ECE) and Systems Engineering (SE) at Boston University. He holds a PhD from MIT (1976) and has held leadership roles including Department Chair of BU ECE (2010-2014) and President of the IEEE Control Systems Society (2008). His research focuses on stochastic control, optimization, game theory, and distributed computing, with applications in sensor management, inverse problems, and autonomous systems. Education: PhD, Massachusetts Institute of Technology (1976). Key affiliations include the Center for Information and Systems Engineering, the Rafik B. Hariri Institute for Computing, and the ALERT Department of Homeland Security Center of Excellence. He teaches courses such as EC702 Recursive Estimation and EC719 Statistical Learning Theory. Research interests span stochastic control, estimation theory, optimization algorithms, and multi-agent systems. Notable contributions include work on sensor management, cooperative operations, and inverse problem solutions for medical and security imaging. His work often integrates theoretical frameworks with practical applications in autonomous systems and distributed computing. Scientific achievements include IEEE Fellow status (2006), CSS Distinguished Member Award, and leadership roles in major conferences like the IEEE Conference on Decision and Control (2007 as General Chair). He has also served on the Air Force Advisory Board and the IEEE Society Review Committee. Grants and lab affiliations include the NSF Engineering Research Center for Subsurface Sensing (2001-2013) and the SENTRY DHS Center of Excellence (2021-present). His interdisciplinary collaborations bridge robotics, medical imaging, and security systems.

Donovan Fuquaمشاهده پروفایل

استادیار

• Supply Chain Management
• Operations Research
• Artificial Intelligence in Logistics
• +۳ مورد دیگر

Donovan Fuqua is an Assistant Professor in the Department of Accounting and Information Systems at New Mexico State University's College of Business. He specializes in supply chain management, operations research, and the application of artificial intelligence in logistics. His research focuses on optimizing supply chain resilience, disaster recovery models, and the use of advanced algorithms in solving complex logistical challenges. He holds a physical office at the Business Complex, 127, and can be reached at dfuqua@nmsu.edu. Address: Business Complex, 127 • Las Cruces, NM 88003 Phone: (575) 646-2812 His research interests span supply chain resilience , optimization algorithms , and neural networks in logistics . He has published extensively on topics such as commodity demand forecasting, state-of-charge prediction in vehicle batteries, and chaos theory applications in military decision-making. Recent work analyzes the Bank of North Dakota's financial strategies and explores resilience models for global disruptions. His articles often bridge theoretical frameworks with real-world applications, such as using deep learning for humanitarian logistics planning. Dr. Fuqua has not been noted for scientific awards in the provided texts. His advising and grant activities are not detailed here, but his research portfolio reflects a strong focus on interdisciplinary solutions for complex logistical systems.

Luis Novoaمشاهده پروفایل

دانشیار

• Business Analysis
• Management Science
• Supply Chain Management
• +۳ مورد دیگر

Luis Novoa is an Associate Professor in the Department of Computer Information Systems and Business Analytics at James Madison University’s College of Business, where he also contributes to the MBA program. His academic journey includes a Ph.D. in Decision Sciences from The George Washington University (2016), an M.S. and B.S. in Industrial Engineering from Universidad de los Andes (2007 and 2005, respectively). He has held roles such as Assistant Professor at JMU since 2017, Visiting Assistant Professor at The George Washington University (2016–2017), and Instructor at Universidad de los Andes (2007–2011). His research focuses on business analysis, management science, and applied decision analysis under uncertainty, particularly in supply chain management, logistics, education, and healthcare. Notable work includes optimizing automated package sorting systems, developing educational tools like STRATA for operations research assessment, and Bayesian methods for academic motivation analysis in business analytics courses. Recent articles highlight contributions to bike-sharing system decision-making, supply chain curriculum alignment with industry practices, and stochastic optimization in energy systems. His awards include JMU College of Business Distinguished Teacher (2021–2022) and recognition for summer research excellence (2011). Dr. Novoa’s teaching and research emphasize practical applications of analytics, bridging academic theory with real-world challenges in business and public sectors. He has authored or co-authored over 15 peer-reviewed publications spanning operations research, education, and industry case studies.