جست‌وجوی استاد و پژوهشگر

Sean B. Anderssonمشاهده پروفایل

استاد

• Optimal Estimation
• System Identification
• Single Particle Tracking
• +۴ مورد دیگر

Sean B. Andersson is a Professor in the Department of Mechanical Engineering at Boston University's College of Engineering. His research focuses on optimal estimation, system identification, single particle tracking, robotics, and control theory. He earned his Ph.D. from the University of Maryland, College Park. Education : Ph.D. in Mechanical Engineering (University of Maryland, College Park) His work integrates control algorithms with applications in microscopy, nanofabrication, and multi-agent systems. Recent research trends highlight persistent monitoring, trajectory optimization, MRI reconstruction, and dip-pen nanolithography. He has mentored numerous graduate and undergraduate students, many of whom now hold positions at institutions like MIT Lincoln Labs, University of Pennsylvania, and Juniper Networks. Scientific Contributions : Developed robust multi-agent control policies for data harvesting Advanced single particle tracking with real-time feedback Innovated in non-raster scanning probe microscopy Optimized sensor scheduling via minimax and semidefinite programming His lab team combines theoretical and applied research in robotics and control systems, with alumni contributing to academia, industry, and research labs globally.

Lei-Shih Chenمشاهده پروفایل

استاد

• Public Health Genomics
• Autism Spectrum Disorders
• Disability and Health
• +۲ مورد دیگر

Dr. Lei-Shih Chen is a Professor in the Department of Health Behavior at the School of Public Health, Texas A&M University. With over 20 years of research experience, her work focuses on public health genomics, health disparities, disabilities, autism spectrum disorder, and cancer prevention and control, securing approximately $13 million in research funding from NIH, NSF, and Texas agencies. Her educational background includes: PhD in Health Education from Texas A&M University (2007) MS in Occupational Medicine and Industrial Hygiene from National Taiwan University (2001) BS in Physical Therapy from National Taiwan University (1999) Dr. Chen's research employs community-based participatory methods to address health inequities through culturally tailored interventions. She specializes in genetic education for underserved populations, particularly Chinese Americans and Latinas, with emphasis on autism spectrum disorder and cancer prevention. Her work bridges genomic science with practical public health applications to reduce disparities. Recent publications (2022-2025) reveal consistent focus on community health worker interventions, genetic testing education, and culturally specific cancer prevention strategies. These studies predominantly target vulnerable groups using mixed-methods approaches to develop accessible health solutions while examining BMI, nutrition, and physical activity impacts on health outcomes. Dr. Chen's scientific recognition includes: Pathway Award (2024) ASHG Education Award (2023) Faculty Research Excellence Award (2023) Association of Former Students Distinguished Achievement Award for Teaching (2022) Public Health Diversity, Equity, and Inclusion Award (2022) Outstanding Research Award (2019, 2022) Armstrong Scholar Award (2021) Young Professional Award (2018) She has chaired 39 graduate students (29 graduated), mentored 10 post-doctoral associates, and advised approximately 300 undergraduates. Her $13 million research portfolio includes major grants from NIH, NSF, Texas Council for Developmental Disabilities, and the Cancer Prevention and Research Institute of Texas for community-based genomic and cancer prevention initiatives. Dr. Chen leads community-engaged research teams developing culturally competent health worker certification programs and family history-based interventions for Chinese American and Latino communities across Texas.

Ping Maمشاهده پروفایل

دانشیار

• Health Disparities
• Social Determinants of Health
• Maternal and Child Health/Women's Health
• +۸ مورد دیگر

Ping Ma, PhD, is an Associate Professor in the Department of Health Behavior at Texas A&M University School of Public Health. She specializes in social and environmental determinants of health, focusing on underserved populations including maternal women, adolescents, racial/ethnic minorities, and older Asian populations. Her methodological expertise spans survey development, mixed methods, and multi-level analysis. Liaoning University, BA in Social Welfare/Social Work (2003) Liaoning University, MA in Population Studies/Demography (2006) Linköping University & EHESS, MA in Dynamics of Health and Society (2008) Tulane University, PhD in Public Health (2013) UT Southwest Medical Center, Postdoctoral Training Certificate (2015) Dr. Ma's research examines health disparities, social determinants of health, maternal and child health, mental health service access, and health behavior interventions. She utilizes community-based participatory research and integrated care models to address disparities in mental health, chronic diseases, and substance use among vulnerable groups. Her recent publications focus on air pollution impacts, cancer prevention strategies, mental health trends during the pandemic, illicit drug use patterns, and culturally adapted interventions. Key themes include environmental health equity, digital health technologies, and multi-level analysis of health outcomes. Early Career Faculty Research Excellence Award (2022) Health Disparities Research Scholar (2022) NCFDD Faculty Success Fellow (2021) Robert Woods Johnson Foundation Interdisciplinary Research Leader (2020) Dr. Ma teaches courses in Grant Writing, Public Health Intervention, and Public Health Evaluation. She collaborates with clinical providers, community organizations, and health workers, with funding from NIH, HRSA, CPRIT, Gulf grants, and the Robert Wood Johnson Foundation.

• Mixed Methods Research
• Education Science
• Research Methodology
• +۲ مورد دیگر

Judith Schoonenboom is a Professor at the University of Vienna and Deputy Head of the Department of Education. She teaches courses in quantitative and interpretive methodologies, research design, and PhD/master's thesis supervision, including seminars like 'Methodology and Research Design' and 'Quantitative Methodologies in Education Science'. Her academic responsibilities reflect a focus on advanced research methodologies in educational contexts. Schoonenboom's research centers on mixed methods and multimethod approaches in education science, emphasizing methodological innovation, data integration, and theoretical development. Key interests include the interplay between qualitative and quantitative research, design patterns in mixed methods, and strategies for enhancing inferential rigor in social science studies. Her work bridges epistemological frameworks with practical research applications. Her scholarly publications demonstrate a consistent focus on advancing mixed methods research, particularly through innovations in design, integration techniques, and theoretical reflection. Recent works explore causal inference in qualitative research, visualization of methodological interactions, and performative approaches, highlighting trends toward interdisciplinary synthesis and practical methodology refinement.

Zukui Liمشاهده پروفایل

استاد

• Mathematical Optimization
• Machine Learning
• Process Systems Engineering
• +۴ مورد دیگر

Zukui Li is a Professor in the Department of Chemical and Materials Engineering at the University of Alberta's Faculty of Engineering, where he leads a research group focused on mathematical optimization, machine learning, and process systems engineering. His work spans oil sands extraction, steel production, biomedical applications, and advanced optimization methods. Education: Ph.D. in Chemical Engineering, Rutgers University (2010) M.Sc. in Control Theory and Control Engineering, University of Science and Technology of China (2005) B.Sc. in Automatic Control, University of Science and Technology of China (2002) Postdoctoral Training: Princeton University (2010-2012) Research Focus: Dr. Li's research integrates mathematical optimization and machine learning for complex process systems. His primary areas include: Advanced optimization techniques (robust, stochastic, and distributionally robust optimization) Machine learning applications in process monitoring and biomedical systems Industrial applications in energy, manufacturing, and resource extraction Specific innovations include physics-informed ML for anemia treatment, adaptive optimization for steel production, and distributionally robust methods for uncertainty management. Publication Trends (2019-2023): Recent articles demonstrate a strong focus on uncertainty-aware optimization methods, with increasing integration of machine learning techniques. Dominant themes include distributionally robust optimization, adaptive decision-making under uncertainty, neural network approximations for complex constraints, and applications in industrial process control and biomedical systems. Theoretical advancements are consistently coupled with practical implementations in energy and manufacturing sectors. Research Group: Leads an active team developing optimization frameworks and machine learning solutions for process engineering challenges. Group website: Dr. Zukui Li's Research Group

Joris M. Mooijمشاهده پروفایل

استاد

• Causality
• Causal Modeling
• Causal Discovery
• +۵ مورد دیگر

Joris M. Mooij is a Professor of Mathematical Statistics at the Korteweg-De Vries Institute of the University of Amsterdam, Netherlands. His research focuses on causality, spanning causal modeling, discovery, and inference with applications in biology, medicine, fairness, and business analytics. He combines mathematical modeling with statistical and algorithmic approaches in his work. Dr. Mooij received his PhD with honors from Radboud University Nijmegen in 2007, focusing on approximate inference in graphical models. After postdoctoral work at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany, he obtained an NWO VENI grant in 2011 for further postdoctoral research at Radboud University. He became Assistant Professor at the University of Amsterdam's Informatics Institute in 2013, was promoted to Associate Professor in 2017, and became a full Professor of Mathematical Statistics in 2020. Dr. Mooij's research centers on causal inference, with particular expertise in structural causal models, cyclic causal systems, and causal discovery algorithms. His work addresses fundamental questions about when causal relationships can be identified from observational data and how to develop robust causal discovery methods that work in complex real-world settings with latent variables, cycles, and selection bias. He has made significant contributions to understanding the limitations of existing causal discovery approaches and developing new methods that overcome these limitations. His research group organizes the Amsterdam Causality Meeting series and develops theoretical frameworks for causal modeling that encompass both acyclic and cyclic systems. Dr. Mooij has collaborated extensively on applications of causal methods in biological systems, including protein signaling networks and gene expression data. The group's recent work explores performative predictions, causal domain adaptation, and robust causal discovery methods that account for selection bias and missing data. Dr. Mooij has received numerous awards for his research, including: Best paper award at UAI for "Establishing Markov equivalence in cyclic directed graphs" IEEE Geoscience and Remote Sensing Society 2011 Letters Prize Paper Award ICML Test of Time Honorable Mention Best student paper award at UAI 2010 He has secured competitive research funding through an NWO VENI grant, NWO VIDI grant, and an ERC Starting Grant, which supported the establishment of his research group consisting of 3 PhD students and 3 postdocs focused entirely on causality. Dr. Mooij has supervised several PhD students, including Tineke Blom, whose work on "Causality and Independence in Perfectly Adapted Dynamical Systems" significantly influenced his thinking about causality in complex systems. He has co-taught the MasterMath course on Causality and published lecture notes titled "A Mathematical Introduction to Causality." His research continues to push the boundaries of causal inference methodology and its applications across diverse scientific domains.

• Educator Evaluation
• Instructional Coaching
• Education Policy
• +۴ مورد دیگر

Dr. Seth B. Hunter is an Associate Professor of Education Leadership at George Mason University ’s College of Education and Human Development . He serves as a Senior Fellow at EdPolicy Forward (Mason’s Center for Education Policy) and a Fellow with the Tennessee Education Research Alliance . His work bridges educator effectiveness, policy implementation, and human-machine collaboration in education. PhD in Education Policy from Peabody College, Vanderbilt University Dr. Hunter’s research integrates educator evaluation systems , instructional coaching , and policy impacts on educational outcomes . He employs mixed methods (econometric, psychometric, qualitative) and interdisciplinary frameworks (psychology, economics, leadership theory). Notably, he investigates how feedback mechanisms and human-machine partnerships shape instructional quality. His recent publications focus on teacher evaluation policy effects , instructional coaching distribution , and equity in rural education . Articles span topics like feedback valence, policy implementation in rural districts, and intersectional impacts of leadership demographics. Though no scientific awards are listed, his work informs state-level policies in Kentucky, Tennessee, and Virginia. Dr. Hunter previously served K-12 organizations as a teacher, union representative, and professional association president. He teaches courses on school improvement , instructional supervision , and doctoral research . Personal interests include barbecuing , ice hockey , and music .

• Model-based Systems Engineering
• Safety-Critical Systems
• Systems Engineering
• +۳ مورد دیگر

Dr. Siyuan Ji is a Reader in Model-based Systems Engineering (MBSE) at Loughborough University, serving as Deputy Head of the Manufacturing, Systems & Management Academic Community and Deputy Director of the Doctoral Training Centre in MBSE. He previously held a Senior Lecturer position in Systems Engineering at the University of York, where he led the MSc Programme in Safety-Critical Systems Engineering. His academic journey includes a PhD and MSc in Physics from the University of Nottingham, followed by research roles in model-based systems engineering at Loughborough University. His research focuses on advancing model-based techniques for systems engineering, particularly in safety-critical systems, formal methods, and complex system design. He has contributed to areas such as hazard management (e.g., BSafeML framework), response time analysis in real-time systems, and model synchronization for requirements engineering. His work bridges theoretical foundations with practical applications in automotive systems, embedded software, and educational technology. Dr. Ji holds the title of Fellow of the Higher Education Academy and has published extensively on topics ranging from quantum technology reporting to conversational tutoring systems. His research emphasizes interdisciplinary collaboration, evident in projects like the EPSRC-funded analysis of vehicles as complex systems. He actively contributes to both academic and industrial advancements in systems engineering methodologies and education innovation. His professional roles include managing doctoral training programs, overseeing academic communities, and advancing systems engineering education. Collaborations span industry partnerships and international academic networks, reflecting his commitment to impactful research and training the next generation of systems engineers.

Thomas Schillemansمشاهده پروفایل

استاد

• Public Governance
• Public Accountability
• Behavioral Public Administration
• +۳ مورد دیگر

Prof. Thomas Schillemans is a Professor of Public Governance at Utrecht University School of Governance, specializing in accountability mechanisms, behavioral public administration, and governance dynamics. He holds a professorial position in the Department of Public Governance and Management, focusing on how public sector organizations interact with stakeholders, particularly regarding trust, control, and media influence. His work integrates behavioral science insights into governance research, emphasizing practical implications for policy design and institutional accountability. Research Interests: Public Accountability and Governance Behavioral Effects in Public Policy Media Impact on Bureaucracy Comparative Governance Studies Trust and Control in Organizations Articles Trends: Recent work explores accountability styles across Europe, nonpunitive accountability mechanisms, and the behavioral dimensions of governance. Key themes include experimental approaches to accountability effectiveness, multi-stakeholder dynamics, and regulatory judgment quality under populist pressures. Advising/Grants: No specific grants or advisee lists are publicly detailed, though his research often involves collaborative international studies. He contributes to policy discussions through academic publications and public lectures. Labs/Teams: Active in cross-disciplinary projects on behavioral public policy and institutional accountability, though no named lab affiliations are explicitly stated.

Alyson K. Zaltaمشاهده پروفایل

دانشیار

• Trauma
• Posttraumatic Stress Disorder
• Resilience
• +۵ مورد دیگر

Dr. Alyson K. Zalta is an Associate Professor in the Department of Psychological Science at the University of California, Irvine, where she directs the Trauma & Resilience Lab. As a clinical psychologist, her research focuses on alleviating trauma-related mental health burdens through innovative interventions and understanding resilience mechanisms. Education B.A. in Psychology, Harvard University Ph.D. in Clinical Psychology, University of Pennsylvania Clinical Internship, VA Palo Alto Healthcare System Postdoctoral Fellowship, Rush University Medical Center Her research spans trauma, PTSD, resilience, transdiagnostic approaches, and moral injury, with emphasis on high-risk populations including veterans, homeless youth, and urban violence survivors. She integrates neurobiology with behavioral science to identify core trauma pathology mechanisms, exploring novel interventions like light therapy, intensive treatment protocols, and mobile health solutions for vulnerable groups. Her transdiagnostic framework targets universal trauma processes across diagnostic boundaries. Recent publications (2024-2018) reveal consistent focus on moral injury (in nurses, incarcerated individuals, and veterans), circadian-based PTSD treatments, and social determinants of trauma recovery. She employs mixed-methods designs across diverse settings, from pandemic frontline healthcare to homeless youth shelters, prioritizing scalable interventions for real-world impact. Scientific Affiliations Faculty, Interdisciplinary Institute for Salivary Bioscience Research Fellow, Center for the Neurobiology of Learning and Memory Dr. Zalta advises doctoral students in UCI's Psychological Science program (though not accepting new students for Fall 2026 admission) and disseminates findings through podcasts like Psychology Anthology and In the Open. Her Trauma & Resilience Lab actively develops translational research to inform trauma interventions, particularly for underserved populations requiring accessible mental health solutions.

Christopher M. Sheaمشاهده پروفایل

استاد

• Implementation Science
• Telehealth Adoption
• Organizational Readiness for Change
• +۳ مورد دیگر

Christopher M. Shea, PhD, is a Professor in the Department of Health Policy and Management and Adjunct Associate Professor in Social Medicine at the University of North Carolina’s Gillings School of Global Public Health. He serves as the PhD Program Director, leading interdisciplinary training in public health policy and management. His work focuses on implementation science, organizational readiness for change, and telehealth adoption, with expertise in mixed-methods research. Dr. Shea holds a PhD in Public Administration (2008) from North Carolina State University, an MPA (2004) and MA in English (1998), and a BBA in Finance and English (1995). His research bridges organizational behavior, health informatics, and quality improvement, particularly in healthcare innovation adoption. His research interests include assessing organizational preparedness for change, telehealth policy, and strategies to support 'innovation champions.' Key projects involve evaluating telehealth utilization in rural settings and analyzing how financial factors influence telemedicine adoption for critical care in hospitals. Dr. Shea’s recent work explores maternal telehealth access disparities, opioid use disorder treatment policies, and the role of social needs screening in primary care. His articles often address implementation barriers and strategies in healthcare systems, with a focus on translating research into practice through mixed-methods approaches. He has contributed to initiatives like the Gillings Innovation Labs, emphasizing practical solutions for public health challenges. His grants and collaborations focus on improving healthcare equity through evidence-based strategies, such as community resource referral systems for cardiovascular disease in rural North Carolina.

Paul Moritz Wiegmannمشاهده پروفایل

استادیار

• Standardization
• Innovation Ecosystems
• Sustainable Development
• +۳ مورد دیگر

Paul Moritz Wiegmann is an Assistant Professor in the Department of Industrial Engineering and Innovation Sciences at Eindhoven University of Technology (TU/e), where he is part of the ITEM group. He currently serves as President of the European Academy of Standardisation (EURAS). His academic career includes visiting research positions at TU Berlin (2014 & 2015), Yonsei University, Seoul (2018), and the University of California, Davis (2023). Paul holds a PhD from Rotterdam School of Management, Erasmus University, alongside additional degrees from Erasmus University and the University of Warwick. His educational background emphasizes interdisciplinary training, reflected in his research and teaching. His research focuses on the role of standardization in innovation ecosystems, particularly how explicit and implicit rules enable value creation and capture. He employs mixed-methods approaches, including case studies, grounded theory, choice experiments, and conjoint analysis. His work aligns with UN Sustainable Development Goals, addressing societal challenges like sustainability and smart technologies through collaborative frameworks. Notable awards include the Industria Education Award 2022-2023 for Best Teacher Talent (2023) and the ISPIM Dissertation Award 2020 (2020). These recognize his contributions to both education and research in standardization and innovation. In advising and grants, Paul has supervised 30 works (names not listed) and leads the Measuring societal impact of standards project (2021–2022). He also coordinates the FIQCS: FIeldlab Quantum Cryptography Solutions for Safe Society initiative (2023–2028). His activities include organizing conferences like EU-SPRI 2025 and delivering invited talks on topics ranging from standardization governance to quantum technologies. Paul teaches courses such as Methodology for IE research and Patents design rights & standards exploration course , reflecting his expertise in standardization and research methods. He contributed to the Standardization literature database (2024), an interdisciplinary review, and engages in media discussions on topics like AI adoption in SMEs and quantum threat mitigation in public safety.

Toni Rouhanaمشاهده پروفایل

پژوهشگر ارشد

• Middle East Studies
• War and Conflict Studies
• Religious Sectarianism
• +۳ مورد دیگر

Dr. Toni Rouhana is a Research Fellow and Postdoctoral Research Associate at the University of York’s Centre for the Comparative Study of Civil War. His work examines sectarian identities in Syria, Iraq, and Lebanon across pre-, during, and post-war periods. He holds a PhD in Sociology from UC Santa Cruz, alongside an MS in Computer Engineering and MA in Sociology. PhD: University of California, Santa Cruz (Sociology) MS: University of California, Santa Cruz (Computer Engineering) MA: University of California, Santa Cruz (Sociology) Rouhana’s research integrates ethnography, computational methods (machine learning, NLP), and social movement theory. His interdisciplinary focus spans Peace Studies, Middle East Studies, and Religious Studies. He analyzes over 500 million social media posts and conducted 18 months of fieldwork in Syria and Lebanon. His work emphasizes how ordinary people mobilize religious identities during conflict. Publications highlight mixed-methods approaches to conflict analysis, with recent work exploring Lebanon’s Cedar Revolution and Palestinian geopolitical symbolism. Awards include the Regents’ Fellowship and GRRI Dissertation-Year Fellowship. Key Project: “Understanding Civil War from Pre- to Post-War Stages: A Comparative Approach” (2021–2024) Rouhana collaborates with the Centre for the Comparative Study of Civil War, advancing methodologies at the intersection of digital humanities and conflict studies.

• Digital Strategy
• Business-IT Alignment
• Digital Entrepreneurship
• +۳ مورد دیگر

Dr. Yolande E. Chan is the Dean and James McGill Professor at McGill University's Desautels Faculty of Management. She previously served as Associate Dean of Research and held the E. Marie Shantz Chair at Queen’s University’s Smith School of Business. Her academic career spans roles in research leadership, including Associate Vice-Principal (Research) at Queen’s and directorships in innovation centers. Chan’s expertise lies in digital strategy, business-IT alignment, and knowledge-driven innovation. She holds a PhD from Western University’s Ivey Business School, an M.Phil. from Oxford (as a Rhodes Scholar), and degrees in Electrical Engineering from MIT. Education: Ph.D. in Business Administration (MIS), Ivey Business School, Western University (1992) M.Phil. in Management Studies, University of Oxford (1984) S.M. & S.B. in Electrical Engineering & Computer Science, MIT (1982) Her research focuses on digital innovation, IT alignment, and strategic improvisation. Over 100 peer-reviewed articles appear in top journals like Journal of Strategic Information Systems and MIS Quarterly . Awards include the AIS LEO Award, Distinguished Cum Laude membership, and the James McGill Professorship. Chan’s work bridges theory and practice, emphasizing technology’s role in fostering agility and societal impact. Her leadership spans grants totaling millions, including SSHRC-funded projects on inclusive innovation and rural economic development. She co-edits the Journal of Strategic Information Systems and advocates for diversity and equity in academia. Chan’s career reflects a commitment to advancing both scholarly rigor and real-world business challenges.

Todd Colemanمشاهده پروفایل

دانشیار

• Epidemiology
• Biostatistics
• Population Health
• +۶ مورد دیگر

Todd Coleman is an Associate Professor in the Department of Health Sciences at Wilfrid Laurier University. His research focuses on epidemiology, biostatistics, and population health with a strong emphasis on LGBTQ+ health, HIV/AIDS, and healthcare equity. He investigates intersectional health disparities affecting sexual and gender minorities, particularly transgender individuals, non-binary people, and LGBTQ+ refugees. His work addresses community-based solutions to mental health challenges, healthcare access barriers, and social determinants of health. Notable research includes studying the protective effects of community inclusion on transgender mental health, the mental health needs of SOGIE refugees, and HIV-related risk behaviors among men who have sex with men. Coleman also explores the impact of minority stressors and social provisions on suicidal ideation in LGBTQ+ populations. He has been actively involved in the OutLook Study assessing healthcare experiences of LGBTQ+ individuals in primary care settings. His research often employs mixed-methods approaches, combining quantitative surveys with qualitative interviews to better understand complex health dynamics. Coleman’s work has informed public health policy recommendations regarding stigma reduction and inclusive healthcare practices. He is fluent in English and French and currently on sabbatical leave until 2025. His office is located at BA540 in Bricker Academic Building, though appointments are required for meetings.