جست‌وجوی استاد و پژوهشگر

Semin Parkمشاهده پروفایل

استادیار

• Organizational Behavior
• Social Network Analysis
• Team Dynamics
• +۳ مورد دیگر

Semin Park is an Assistant Professor in the Management and Organization department at the Smeal College of Business, Pennsylvania State University. Her research focuses on relational dynamics within and between teams, employing a social network perspective to analyze longitudinal changes in work collectives across diverse contexts such as emergency response systems and organizational teams. Education: PhD in Management, University of Connecticut (2019) MSc in Management, Seoul National University (2013) BBA in Business Administration, Seoul National University (2011) Research Interests: Dr. Park investigates team dynamics using network analysis to explore conflict resolution, leadership transitions, and collective behavior. She emphasizes structural elements of multi-team systems, emergency response configurations, and the application of big data methods for organizational insights. Her work bridges theoretical frameworks with practical solutions for improving team performance and workplace safety. Publications Trends: Her most recent articles (2020–2024) emphasize network-based approaches to team conflict, leadership transitions in crises, and dynamic constructs in organizational settings. Earlier work (2012–2018) includes foundational studies on team creativity, peer evaluations, and historical evolution of work teams. Affiliations & Resources: She is affiliated with Penn State’s Smeal College and maintains an active Google Scholar profile. No grants or awards are explicitly listed in the provided texts.

• Terrorism
• Civil Conflict
• Peace Agreements
• +۶ مورد دیگر

Dr. Anurug Chakma is a Research Fellow at the Migration Hub within the School of Regulation and Global Governance (RegNet) at The Australian National University (ANU). Previously, he served as a casual sessional academic at ANU's School of Politics and International Relations and held teaching positions at the University of Dhaka, including Lecturer and Assistant Professor in Peace and Conflict Studies. He has also contributed to research and consultancy roles at organizations such as the Bangladesh Legal Aid and Services Trust (BLAST), UNDP-CHTDF, University College London (UCL), and the United States Institute of Peace (USIP). Dr. Chakma's educational background includes: PhD in Politics and International Relations (2023), Australian National University Master's in Economics, Political Science, Law, and Criminal Science (2016), University of Antwerp Master's and Bachelor's in Peace and Conflict Studies (2012-2011), University of Dhaka His research interests span terrorism, civil conflict, peace agreements, human rights, diaspora communities, and computational social science. He focuses on topics such as the implementation of peace accords, diaspora roles in humanitarian efforts, and the impact of political ideology on conflict resolution. Dr. Chakma's recent research explores the role of diasporas in humanitarian assistance, climate change policies for health equity, nation-building in Bangladesh, and the influence of social media on violence. His work bridges theoretical frameworks with real-world case studies, emphasizing policy-relevant outcomes. While no formal students are listed, Dr. Chakma's research is supported by two projects: the ongoing "Biannual Perceptions Survey - International Development Policy" and the completed "Exploring multi-stakeholder perspectives on diaspora humanitarianism". These projects reflect his commitment to interdisciplinary research addressing global challenges. He is affiliated with the ANU South Asian Research Institute (SARI) and holds memberships in the Australia Political Science Association (APSA) and the Australian Society for Quantitative Political Science (ASQPS).

TAN Wee Kekمشاهده پروفایل

دانشیار

• Technology-Enhanced Learning
• Artificial Intelligence in Education
• Consumer-based Information Technology
• +۵ مورد دیگر

Dr. TAN Wee Kek is an Associate Professor (Educator Track) in the Department of Information Systems and Analytics at the National University of Singapore's School of Computing. He served as Assistant Dean in the School's Office of Student Life from 2019 to 2024 and has been a Fellow of the NUS Teaching Academy since 2017. He holds a Doctor of Philosophy in Information Systems and Bachelor of Computing in Information Systems (First Class Honours) from NUS, and previously earned a Diploma in Computer Information Systems from Singapore Polytechnic. His research focuses on Technology-Enhanced Learning (TEL), particularly artificial intelligence applications in education, and consumer-based information technology including online decision aids, social computing, virtual worlds, and consumer cloud services. His methodological approach primarily employs design science paradigms. Publication analysis reveals his scholarly work spans educational technology, e-commerce systems, human-computer interaction, and information systems pedagogy, with recent emphasis on learning analytics and AI-enhanced educational frameworks. Major Honors: Commendation Medal from Singapore's President (2017) Multiple Annual Teaching Excellence Awards (2009-2024) Crystal Service Award, WorldSkills Singapore Council (2018) Lee Kuan Yew Award for Mathematics and Science (2001)

Xiaobo Liمشاهده پروفایل

استاد

• Neuroscience
• Medical Imaging
• Machine Learning Applications in Neurology
• +۳ مورد دیگر

Xiaobo Li is a Professor in the Department of Bio-Medical Engineering at New Jersey Institute of Technology. Holding a Ph.D. in Computer Aided Geometric Design from the University of Birmingham and a B.S. in Automation from Nanjing University of Aeronautics, their research bridges computational methods with neuroimaging and psychiatric disorder analysis. Ph.D., University of Birmingham (Computer Aided Geometric Design, 2004) B.S., Nanjing University of Aeronautics (Automation, 1999) Dr. Li’s work focuses on applying machine learning and graph theory to understand brain network abnormalities in conditions like ADHD , schizophrenia , and traumatic brain injury . Their studies analyze structural-functional connectivity , reward processing , and gut-brain axis interactions using fMRI , fNIRS , and diffusion tensor imaging . Recent publications highlight their development of tools like the GAT-FD MATLAB toolbox for brain network analysis and their exploration of multimodal MRI in schizophrenia diagnosis. They also investigate the neurobiological effects of photobiomodulation and vision therapy interventions.

Luca Sterponeمشاهده پروفایل

استاد

• Reconfigurable computing
• Computer-aided design algorithms
• Fault tolerance and reliability
• +۷ مورد دیگر

Luca Sterpone is a Full Professor at the Department of Control and Computer Science (DAUIN), Politecnico di Torino. He serves as Head of the Control and Computer Engineering Department (2023-2027), coordinates the Aerospace and Safety Computing Lab, and is a member of the Academic Senate and Power Electronics Innovation Center (PEIC). His research spans reconfigurable computing, fault tolerance, and radiation effects analysis in electronic systems. Professor since 2021 Department Head (DAUIN) since 2023 Coordinates international collaborations with ESA, AMD Xilinx, NVIDIA, and Thales Alenia Space Develops radiation-hardened FPGA tools (SETA, VERI-Place, PyXEL) 2007 EDAA Outstanding Dissertation Award and 2005 IEEE Best Paper Award Research Focus : Designing radiation-tolerant systems for aerospace, including fault-tolerant AI accelerators, FPGA reliability, and software-based error mitigation. He investigates soft error propagation in nanoscale circuits and develops tools for radiation sensitivity analysis in VLSI. His work integrates hardware-software co-design for mission-critical applications. Awards : EDAA Outstanding Dissertation Award (2007) IEEE European Test Symposium Best Paper (2005) SMACD Best EDA Tool Award (2018) ARC Best Paper candidate (2018) Teaching : He leads courses in Reconfigurable Computing (PhD level), GPU Programming , and Operating Systems . He has formal responsibility for teaching roles across 9 bachelor's and 7 master's years, and mentors multiple PhD students. Collaborations : Coordinates with the European Space Agency (ESA), University of Bielefeld, Universidad de Sevilla, and industrial partners like AMD Xilinx, NVIDIA, and General Motors. He leads projects such as RESCHIP4EU, VEGAS, and TERRAC for radiation-hardened computing solutions.

H. Siegfried Stiehlمشاهده پروفایل

استاد

• Computer Vision
• Computational Neuroscience of the Visual System
• Cognitive Science
• +۳ مورد دیگر

Prof. Dr.-Ing. H. Siegfried Stiehl is a retired Senior Professor (until Sept 2021) at the Department of Informatics, University of Hamburg. He previously held roles including Dean of the Faculty of Mathematics, Computer Science, and Natural Sciences (2001–2006), Vice President for Research (2007–2013), and Head of the Image Processing Research Group. His academic journey includes a PhD from TU Berlin (1980) and a Habilitation in Computer Vision (1987). Education: 1973: Ing. Degree in Ingenieur-Informatik, Fachhochschule Furtwangen 1976: Diploma in Computer Science, TU Berlin 1980: Dr.-Ing. Dissertation on medical image processing, TU Berlin Research focuses on Computer Vision , Computational Neuroscience , and Cognitive Science , with contributions to medical image registration, 3D landmark detection, and biomechanical modeling. Key projects include the EU-funded 'COVIRA' consortium (1989–1995) and leadership in the SFB 950 'Manuscript Cultures' project (2015–2019). His 110+ publications span biomedical image registration, elastic deformation algorithms, and real-time signal processing. Notable collaborations include work with institutions like the University of Pennsylvania, University of Birmingham, and Philips Research. Leadership roles include organizing scientific events, serving on editorial boards (e.g., Biological Cybernetics), and founding the Interdisciplinary Nanoscience Center Hamburg (INCH) in 2001. His research has addressed challenges in neurosurgical interventions, VLSI implementation of neural networks, and interdisciplinary education.

Jonathan Roddenمشاهده پروفایل

استاد

• Comparative Politics
• Political Economy
• Federalism
• +۶ مورد دیگر

Jonathan Rodden is a Professor of Political Science at Stanford University and a Senior Fellow at the Hoover Institution and Stanford Institute for Economic Policy Research. His research focuses on the comparative political economy of institutions, particularly federalism and fiscal decentralization, with significant contributions to understanding the urban-rural political divide and its implications for representation and policy. PhD from Yale University BA from the University of Michigan Fulbright student at University of Leipzig His research spans several domains: Comparative Federalism: Analyzed fiscal decentralization mechanisms, budgetary transfers, and institutional design in federations globally. Political Geography: Developed computational methods for redistricting analysis and demonstrated how geographic voter distribution creates inherent electoral biases. Policy Uncertainty: Co-authored foundational work linking economic uncertainty to political polarization and fiscal cycles. Public Health: Conducted epidemiological studies on firearm-related mortality and suicide patterns in California. Scientific awards include: Gregory Luebbert Prize for best book in comparative politics (2007) Michael Wallerstein Award for best paper in political economy (2015) He has advised PhD students like Jowei Chen and directed policy projects with international institutions including the World Bank, IMF, and OECD. His work on redistricting simulations has been cited in U.S. Supreme Court amicus briefs and congressional testimony.

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.

Natalie Riddellمشاهده پروفایل

مدرس ارشد

• Immunology
• Ageing
• Immunosenescence
• +۵ مورد دیگر

Dr. Natalie Riddell is a Senior Lecturer in Immunology and Ageing at the School of Biosciences, University of Surrey. She holds roles as Academic Lead for the FACS facility, Member of the University Ethics Committee, and Chair of the Surrey Healthy Ageing Research Partnership (SHARP). Her research focuses on neuroendocrine and age-associated changes in immune function, particularly how adrenergic signaling contributes to immunosenescence and inflammation in aging. Key areas include T cell senescence, metabolic disorders linked to immune decline, and interventions to promote healthy longevity. Education: BSc and PhD in Biosciences from the University of Birmingham, followed by postdoctoral research at University College London (2010-2017). Research interests emphasize the interplay between stress, aging, and immunity. Collaborations include work with Dr. Sian Henson (Queen Mary University) on T cell metabolism and Dr. Anis Larbi (Singapore Immunology Network) on immunosenescence biomarkers. She supervises BSc, MSc, and PhD students, including current advisees Dennis Affram and Chidie Ubachukwu. Teaching includes undergraduate modules like BMS1052: Exploring Biochemistry and BMS3102: Advanced Topics in Molecular and Cellular Immunology. Her 15 most recent articles span immunology, virology, and chronic disease, with notable work on tuberculosis diagnostics and stress-HIV interactions. Labs/Teams: Active leadership in SHARP, a multidisciplinary partnership addressing healthy aging through immunity research.

• Global Health
• Public Health
• Development Studies
• +۵ مورد دیگر

Maria Kett is a Professor of Humanitarianism and Social Inclusion at University College London (UCL), working in the Epidemiology & Public Health department. She is a leading social anthropologist with cross-disciplinary expertise in disability, global health, development studies, and humanitarian policy. Education: PhD from the School of Oriental and African Studies (SOAS), University of London Her research focuses on disability inclusion in humanitarian contexts, climate justice, and health equity. She co-founded the Global Disability Innovation Hub and has shaped UN policies on disability inclusion. Publications Trends Recent work spans: assistive technology in disasters, AI ethics in humanitarianism, climate-resilient development, conflict health systems, and intersectional marginalization in Nepal. She emphasizes participatory approaches and policy translation. Teaching Programme Director for UCL's MSc Humanitarian Policy and Practice , with experience supervising PhD students in humanitarian research areas.

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.

Kathryn Stoleeمشاهده پروفایل

دانشیار

• Software Engineering
• Programming Languages
• Software Engineering Education
• +۷ مورد دیگر

Kathryn Stolee is an Associate Professor in the Department of Computer Science at North Carolina State University. She received her Ph.D. in Computer Science from the University of Nebraska-Lincoln under Sebastian Elbaum after graduating from the Jeffrey S. Raikes School of Computer Science and Management. Her research spans multiple perspectives in software engineering: technical (program analysis), human (human aspects of software engineering, software product management), and educational (comparative comprehension of algorithms). Notable contributions include work on regular expression refactoring for improved comprehension, constraint solvers for code reuse identification, and cross-language code-to-code search to aid developers learning new languages. Dr. Stolee has secured over $2,000,000 in federal grants, including an NSF CAREER award. Her research combines analysis techniques (refactoring, semantic code search, code-to-code search) with human factors (comprehension, reuse, learning). Her scholarly contributions have been recognized with a National Science Foundation Faculty Early CAREER Award (2018) and a Best Paper Award at the International Symposium on Empirical Software Engineering and Measurement (ESEM, 2011). Actively engaged in the software engineering research community, Dr. Stolee serves as an author, reviewer, and organizer at top conferences. She is committed to mentoring the next generation of computer scientists and has developed educational interventions focused on software testing and code comprehension.

Amanda Watsonمشاهده پروفایل

استادیار

• Wearable Technology
• Biomedical Engineering
• Cyber-Physical Systems
• +۲ مورد دیگر

Amanda Watson is an Assistant Professor in Electrical and Computer Engineering at the University of Virginia, with joint appointments in Computer Science. She leads the Watson Research Lab within the UVA Link Lab, a multidisciplinary center for Cyber-Physical Systems (CPS) and Internet of Medical Things (IoMT) research. Her work bridges wearable technology with healthcare and athletic performance applications, focusing on noninvasive monitoring, physiological signal analysis, and safety-critical medical devices. She is also the cofounder and CEO of Luminosity Wearables, commercializing a noninvasive continuous glucose monitor. Education: PhD in Computer Science (2020) - College of William & Mary MSc in Computer Science (2016) - College of William & Mary Bachelors in Computer Science and Mathematics (2014) - Drury University Her research spans multiple domains including: Wearable spectroscopy for nutrition and skin health Machine learning for drug overdose and fall risk detection Biomechanical monitoring in sports medicine Wearable support for visual and neurological impairments IoMT device integration and analytics Recent publications (2024-2025) show strong emphasis on calibration-free physiological monitoring systems, with technical contributions in spectral analysis , multi-wavelength sensing , and rapid prototyping for healthcare wearables. Applications range from maternal health to gerontological social isolation detection. Lab and Team: The Watson Research Lab at UVA develops wearable solutions for clinical and athletic contexts, with ongoing collaborations in the PRECISE Center at University of Pennsylvania and LENS lab at William & Mary alumni network. She works with multidisciplinary teams including engineers, clinicians, and data scientists.

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.