جستجوی استاد راهنمای دانشگاهی

Stefan Wrobelمشاهده پروفایل

استاد

• Machine Learning
• Data Mining
• Artificial Intelligence
• +۳ مورد دیگر

Prof. Stefan Wrobel is a Professor of Computer Science at the University of Bonn and Director of the Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS). He holds leadership roles, including Co-Director of the Lamarr Institute for Machine Learning and Artificial Intelligence and Managing Director of the Bonn-Aachen International Center for Information Technology (b-it). His research focuses on AI, machine learning, and big data applications in industry and society. He earned his PhD from the University of Dortmund and has held academic positions at Magdeburg University and Berlin Technical University. Active in national/international AI initiatives, he chairs the Fraunhofer Strategic Research Field on Artificial Intelligence and co-leads the Machine Learning Rhine-Ruhr (ML2R) Competence Center. Education: Master's (Georgia Tech), PhD (University of Dortmund). Research emphasizes intelligent algorithms, data analysis, and AI ethics. Awarded GI-Fellow (2022) and honored by the German Computer Science Society for contributions to AI history. Key roles include Editorial Board member of Machine Learning journals and advisory roles in AI ethics and certification. Scientific contributions span over 100 publications in machine learning, data mining, and visual analytics. Advised numerous PhD students on topics like graph mining and trustworthy AI. Leadership in institutions like Fraunhofer Technology Hub for Machine Learning and the German Computer Science Society's Special Interest Group on Knowledge Discovery.

• Control Technology
• Distributed Optimization
• Machine Learning
• +۴ مورد دیگر

Mikael Johansson is a Professor at Kungliga Tekniska Högskolan (KTH), specializing in Control Technology . He teaches and coordinates courses such as Distributed Optimization (FEL3311) and various advanced-level degree projects in computer science, electrical engineering, and systems engineering. His research spans Control Systems , Machine Learning , and Optimization , with a focus on asynchronous algorithms, federated learning, and applications in energy systems and construction. His work includes 15 recent publications on topics like neural networks, distributed optimization, and battery technology. Notable areas of contribution are in asynchronous learning, federated learning with privacy constraints, and quasi-Newton methods for optimization. His research bridges theoretical advancements with practical applications in urban design, healthcare, and autonomous systems.

Keunhyun Parkمشاهده پروفایل

استادیار

• Urban Forestry
• Environmental Justice
• Human Behavior in Public Space
• +۴ مورد دیگر

Keunhyun (Keun) Park is an Assistant Professor of Urban Forestry at the University of British Columbia (UBC), affiliated with the Department of Forest Resources Management . He also holds an Adjunct Professor position at Utah State University in the Department of Landscape Architecture and Environmental Planning. Education: BSc and MSc in Landscape Architecture from Seoul National University; PhD in Urban Planning and Design from the University of Utah Research Lab: Faculty lead of the Urban Nature Design Research Lab ( under_lab ) His research focuses on designing healthy, just, and resilient cities through urban nature , with particular emphasis on: Environmental justice and equitable access to urban green spaces Human behavior in public spaces using drone/sensor/VR technology Smart growth urban design impacts on public health and ecological systems Recent publications demonstrate expertise in GIS applications , pedestrian behavior analysis , and urban planning across 20+ studies from 2013-2025. Collaborations include the Vancouver Park Board , Metro Vancouver , and Wasatch Front Regional Council .

• Nursing Research
• Global Health
• HIV/AIDS Care
• +۳ مورد دیگر

Jennifer Gray, Ph.D., is the Dean of the College of Sciences and Education at Oklahoma Christian University (OC) and holds the rank of Professor of Nursing. She has over four decades of experience in nursing, research, and education, with a focus on global health, HIV/AIDS care, and evidence-based practice. Her career includes roles as Associate Dean at the University of Texas at Arlington (UTA), where she developed courses and led international outreach programs in Uganda. She is a Fellow of the American Academy of Nursing (2013) and a Professor Emeritus of the UTA System (2015). Her research spans nursing education, healthcare disparities, and international collaboration, with notable work in Africa. She co-authors influential nursing research textbooks, including Burns & Grove’s The Practice of Nursing Research . Education: BSN from the University of Central Oklahoma (1977), Master’s and Ph.D. from UTA (1989–1993). She has pioneered nurse-led interventions in hypertension, HIV/AIDS, and maternal health in Uganda, Rwanda, and Tanzania. Her leadership emphasizes innovation in education and maintaining OC’s mission-driven values. She also advocates for healthcare workforce development and healthy work environments in acute care settings. Awards include her American Academy of Nursing Fellowship and recognition for her textbook contributions. She has supervised numerous research initiatives and serves in her church community. Her work bridges academic rigor with practical, community-focused healthcare solutions.

Enkelejda Kasneciمشاهده پروفایل

استاد

• Human-Centered Technologies
• Artificial Intelligence in Education
• Multimodal Interaction
• +۴ مورد دیگر

Prof. Dr. Enkelejda Kasneci is a Distinguished Professor at the Technical University of Munich (TUM), leading the Chair of Human-Centered Technologies for Learning. She holds dual affiliations within TUM School of Social Sciences and Technology and TUM School of Computation, Information and Technology. Her research integrates AI, eye-tracking, and immersive technologies to advance educational paradigms. She directs the TUM Center for Educational Technologies and chairs the MSc program 'AI in Society.' Education: PhD in Computer Science from University of Tübingen (2013), M.Sc. from University of Stuttgart (2007). Earlier roles include Assistant Professor and Dean of Studies at University of Tübingen. Research Focus: Human-centered AI applications in education, multimodal interaction design, and privacy-preserving eye-tracking. Her work bridges technology and pedagogy through projects like AI tutor PEER, VR Classroom, and Privacy-Preserving Eye-tracking. Key Projects: Leads EU-funded projects VIVA (€1.125M), DigiProMIN (€163K), and SARA Kids (€244.8K). Active in policy initiatives like Europe’s AI Imperative. Awards: TUM Heinz Maier-Leibnitz Medal (2024), Liesel Beckmann Distinguished Professorship (2022), and Südwestmetall Research Prize (2014). Grants & Advising: Over €5M in secured funding across 12+ projects. Supervises 14+ PhD researchers and mentors postdocs in AI education and HCI. Labs & Teams: IT-Stiftung EdTech Lab houses advanced VR/eye-tracking setups. Research group includes 20+ members spanning AI, HCI, and educational technology.

Devin G Popeمشاهده پروفایل

استاد

• Behavioral Economics
• Psychology-Economics Intersection
• Observational Data Analysis
• +۴ مورد دیگر

Devin G. Pope is the Steven G. Rothmeier Professor of Behavioral Science and Economics at the University of Chicago's Booth School of Business. His research examines psychological biases in economic decision-making using observational data across diverse markets including healthcare, voting, transportation, and consumer behavior. Pope has published extensively in top economics journals (American Economic Review, Quarterly Journal of Economics), general science publications (Science, Nature), and interdisciplinary outlets (Management Science, Psychological Science). His research interests bridge behavioral economics and psychology, focusing on vaccination incentives , racial bias measurement , consumer decision heuristics , and observational data analysis . Recent work leverages smartphone data to study religious attendance patterns, voting wait times, and geographic mobility. Pope's research methodology emphasizes real-world field experiments and large-scale observational datasets to identify psychological biases affecting economic outcomes. Notable scientific contributions include: Co-editing the American Economic Review Amazon Scholar appointment (2019-2021) Robert King Steel Faculty Fellowship Steven G. Rothmeier Professorship Pope advises PhD students and teaches graduate courses including Behavioral Economics and Workshop in Behavioral Science. His research has received significant external funding for pandemic response studies and behavioral interventions. Pope maintains active research collaborations across economics, psychology, and public health disciplines through the Booth School's research centers and workshops.

Brady Robardsمشاهده پروفایل

دانشیار

• Social media
• Youth culture
• Gender and sexuality studies
• +۷ مورد دیگر

Brady Robards is an Associate Professor of Sociology and Associate Dean (Research) in the Faculty of Arts at Monash University. His research focuses on youth, gender, sexuality, and digital cultures, with notable projects examining social media’s impact on employment, alcohol promotion, and LGBTQ+ digital experiences. He co-convenes the Monash Digital Cultures Research Group . Current projects include Social Media & Employment (ARC DECRA) and Scrolling Beyond Binaries (LGBTIQ+ youth studies) Recent awards: 2024 University of Bristol Visiting Fellowship, 2022 Dean’s Award for Research Enterprise Key collaborations: ARC, FARE, VicHealth, Australian Public Service His methodological innovations include the social media scroll back technique for analyzing longitudinal digital traces. Research supervision areas cover youth digital cultures, gender backlash movements, and dating technologies. He is a member of the Association of Internet Researchers (AoIR) and The Australian Sociological Association (TASA) .

Xiaomeng Jinمشاهده پروفایل

استادیار

• Atmospheric Chemistry
• Air Pollution
• Environmental Science
• +۳ مورد دیگر

Xiaomeng Jin serves as an Assistant Professor in the Department of Environmental Sciences at Rutgers, The State University of New Jersey, where she leads research on atmospheric chemistry and air pollution dynamics. Her work bridges observational science with computational modeling to address critical environmental challenges. Her academic background includes: PhD in Earth and Environmental Sciences, Columbia University (2020) NOAA Climate and Global Change Postdoctoral Fellowship, University of California, Berkeley Dr. Jin's research focuses on atmospheric chemical processes driving surface ozone and fine particulate matter formation, utilizing satellite remote sensing, in-situ measurements, and advanced computer models. Her investigations span urban to global scales, examining pollution sources, transformation mechanisms, and environmental health impacts. This interdisciplinary work integrates atmospheric physics, chemistry, and environmental policy frameworks to develop actionable air quality solutions. Her distinguished recognition includes: NOAA Climate and Global Change Postdoctoral Fellowship Dr. Jin actively mentors emerging scientists through her research group, recently welcoming six new members including graduate students Siyi Wang, Yu Tian, Jiaqi Shen, Chitral Samala, Zaina Merchant, and Charlotte Orton. She maintains an active recruitment pipeline, announcing a postdoctoral position in atmospheric chemistry in March 2023 to expand her team's analytical capabilities. Her laboratory employs cutting-edge observational networks and modeling systems to investigate pollution-climate interactions, with ongoing projects examining biomass burning emissions, urban pollution dynamics, and satellite data integration for real-time air quality forecasting.

• Data Science
• Artificial Intelligence
• Machine Learning
• +۱۰ مورد دیگر

Professor Zoheir Sabeur is Professor of Data Science and Artificial Intelligence at Bournemouth University (2019–present) and Head of the Processes and Behaviour Understanding (PRO_BU) Research Group. He concurrently serves as Visiting Professor of Data Science at Colorado School of Mines (2017–present) and held the position of Science Director at the IT Innovation Centre, University of Southampton (2009–2019). Over three decades he has led more than 30 large-scale projects as Principal Investigator, securing over £12 million of funding from the European Commission, UKRI, DSTL, NERC, EPSRC and industry. Education PhD in Theoretical Physics, University of Glasgow (1990) MSc in Theoretical Physics, University of Glasgow (1986) BSc First-Class Honours in Physics and Applied Mathematics, Université d'Oran (1984) Advanced Leadership Programme, Ashridge Business School (2011) Research Interests Professor Sabeur’s research focuses on the fundamental theory and application of data science and artificial intelligence to understand complex human, natural and industrial processes and behaviours. His work spans multi-modal sensing, big-data analytics and machine-learning algorithms that extract actionable knowledge from large heterogeneous datasets. Application domains include: Healthcare: AI-driven diagnostics and prognostics for chronic diseases such as COPD, asthma and cancers through omics and phenotypic data integration. Environmental & Climate: Earth-observation analytics for wildlife migration and climate-change impact assessment using satellite data and global grid systems. Maritime & Cyber-Physical Security: Real-time risk assessment for shipping in extreme environments, smart-city safety and critical-infrastructure protection using computer vision and sensor fusion. Recent research has produced novel AI classifiers that analyse lung-auscultation audio signals to grade COPD severity, as well as digital-twin frameworks for detecting malicious behaviour in urban spaces. Scientific Awards & Recognition Fellow of the British Computer Society (FBCS) Fellow of the Institute of Marine Engineering, Science & Technology (FIMarEST) Chartered Engineer (CEng) and Chartered Physicist (CPhys) Multiple ORS Awards (1987, 1988, 1989) Grants & Doctoral Supervision Professor Sabeur has secured and led more than 40 funded projects since 1996, including recent grants such as INSIGHT (NIHR, 2024) and S4AllCities (H2020, 2020). He currently supervises three ongoing PhD students at Bournemouth University and has successfully graduated three others, covering topics from computational hydrodynamics to AI-based respiratory-disease analytics. He welcomes enquiries from prospective postgraduate researchers interested in data science, AI and interdisciplinary applications under schemes such as UKRI and Horizon Europe.

Angelo Cervoneمشاهده پروفایل

استاد

• Astrodynamics
• Space Propulsion Systems
• CubeSat Technology
• +۳ مورد دیگر

Angelo Cervone is a Professor at Delft University of Technology's Department of Astrodynamics & Space Missions within the Faculty of Aerospace Engineering. His research focuses on advanced propulsion systems, CubeSat technology, additive manufacturing for space applications, and space systems design. He leads projects like LUMIO, a CubeSat mission to monitor lunar meteoroid impacts, and has contributed to the development of green propellants and smart composite structures with embedded sensors. His work integrates cutting-edge manufacturing techniques like laser powder directed energy deposition with propulsion system optimization, emphasizing sustainable and robust space technologies. Cervone has authored over 130 publications and edited the book Adaptive On- and Off-Earth Environments , reflecting his expertise in off-world infrastructure and robotic production systems. He received the Rhizome Award (2021) for advancing autarkic systems in off-Earth habitat development. Key Projects: LUMIO CubeSat mission, Rhizome habitat system development, smart propellant tank design Research Themes: CubeSat propulsion, lunar exploration, additive manufacturing for space, in-situ resource utilization His articles highlight advancements in micro-thrusters, structural health monitoring via fiber optics, and autonomous navigation systems for deep-space CubeSats. Cervone collaborates globally on missions requiring innovative propulsion architectures and materials science breakthroughs.

Daniel Almirallمشاهده پروفایل

دانشگاهی

• Adaptive Interventions
• Dynamic Treatment Regimes
• Sequential Multiple Assignment Randomized Trials (SMART)
• +۵ مورد دیگر

Daniel Almirall is a Research Associate Professor at the University of Michigan's Institute for Social Research (ISR) and holds a courtesy appointment in the Department of Statistics. He co-directs the Data Science for Dynamic Intervention Decision-making Center (d3c), focusing on developing statistical methods for adaptive interventions in healthcare and education. With a Ph.D. in Statistics from the University of Michigan (2007), his career includes roles at Duke University and the Durham VA Center for Health Services Research. His research emphasizes adaptive interventions—dynamic treatment strategies optimized via Sequential Multiple Assignment Randomized Trials (SMARTs)—to address chronic health conditions, mental health (e.g., autism, depression), and substance abuse. Key contributions include methodological frameworks for causal inference, longitudinal data analysis, and implementation science. Notable recognition includes a Top 20 Autism Article (2016) and a US Department of Education-recognized methodology publication (2020). Almirall advises students across statistics, biostatistics, and education, mentoring over a dozen PhD, master’s, and undergraduate researchers. His work bridges theory and practice, collaborating with clinicians and educators to deploy evidence-based interventions. Ongoing efforts focus on scalable strategies for schools and clinics to adopt adaptive interventions, leveraging d3c's collaborative environment.

Jordan Cragoمشاهده پروفایل

استادیار

• Aquatic Toxicology
• Environmental Toxicology
• Ecotoxicology
• +۵ مورد دیگر

Dr. Jordan Crago is an Assistant Professor in the Department of Environmental Toxicology at Texas Tech University and affiliated with the STEM CORE program. His research specializes in aquatic toxicology, investigating how environmental chemicals impact development and reproductive success in fish and invertebrates through integrated field-laboratory approaches. Education: Ph.D. in Biological Sciences, University of Wisconsin, Milwaukee Bachelor of Science, Ohio University Dr. Crago's research employs field observations to guide laboratory experiments focused on adverse outcome pathways across diverse contaminants. His work spans pesticides, microplastics, perfluorinated compounds, and emerging pollutants, emphasizing multi-pathway effects on development and reproduction. He prioritizes identifying high-risk environmental chemicals through mechanistic studies using model organisms like zebrafish and fathead minnow. Analysis of his 2019-2025 publications reveals consistent focus on molecular, physiological, and behavioral endpoints in aquatic toxicology. Key themes include developmental/reproductive toxicity, transgenerational effects, and advanced methodologies like predictive molecular signatures and benchmark dose modeling. His work frequently addresses pesticide impacts, microplastic fate in food webs, and PFAS alternatives using zebrafish as a primary model system. Dr. Crago actively mentors undergraduate researchers, integrating them into data collection, analysis, and publication. Three mentees have co-authored peer-reviewed publications and conference presentations. He contributes to STEM education through Texas Tech's STEM CORE program and volunteers with Lubbock's Boys and Girls Club for after-school programs.

• Emergency Medicine
• Urgent Care Systems
• Health Services Research
• +۴ مورد دیگر

Suzanne Mason is a Professor of Emergency Medicine at the School of Medicine and Population Health , University of Sheffield, and a Consultant in Emergency Medicine at Sheffield Teaching Hospitals Trust. Her career spans over three decades, with a focus on evaluating complex interventions in urgent and emergency care, particularly for older adults and frail populations. Education: MBBS (1990), FRCS, FFAEM, MD (Emergency Medicine) Key Research Areas: Emergency care systems, clinical decision-making, geriatric emergency care, health informatics, and multi-centre mixed-methods studies Her research has directly influenced emergency care delivery, including studies on exit block in EDs , trauma networks , and digital ambulance records . She has led major projects such as Connected Health Cities (2016–2018) and RADOSS (risk prediction for seizures). Grants include £1.4 million from NIHR and £692,206 from the Department of Health . Scientific awards include an MD from Royal College of Surgeons Research Fellowship and leadership roles in NIHR-funded initiatives . She has pioneered collaborative models for ambulance services , care home integration , and frailty screening in EDs. Her work bridges clinical practice, policy evaluation, and digital innovation, with over 150 publications and mentorship in BMJ Open and Emergency Medicine Journal editorials.

Nadine Andrewمشاهده پروفایل

دانشیار

• Data linkage
• Stroke
• Chronic Disease Prevention and Management
• +۵ مورد دیگر

Associate Professor Nadine Andrew is an Associate Professor (Research) in the Department of Medicine at Monash University's School of Translational Medicine. She leads the National Centre for Healthy Ageing Data Platform and chairs the Monash HELIX data linkage committee. With expertise in data linkage and health services research, her work focuses on chronic diseases of aging, stroke, and dementia. She has secured over $12M in grants and leads projects like the NHMRC-funded PRECISE stroke study and a MRFF digital health initiative for aged care transfers. Her team includes experts in epidemiology, data science, and bioinformatics. Education: PhD in Epidemiology, Master’s in Public Health, clinical background in Physiotherapy. Research Interests: Data linkage methodologies, stroke epidemiology, chronic disease management, digital health solutions for aging populations. She pioneers national data platforms and co-designs patient-centered care systems. Grants & Projects: $2M MRFF grant for digital health in aged care, NHMRC PRECISE project, boosting dementia grant. Active in 20+ collaborative initiatives including national stroke data integration and vulnerable population cohort studies. Awards: 2024 Australian Epidemiological Association Award, 2021 American Heart Association Reviewer Award, NHMRC Early Career Fellowship (2014). Labs/Teams: Directs the National Centre for Healthy Ageing Data Platform and oversees multidisciplinary research teams advancing EHR data utilization.

George Hripcsakمشاهده پروفایل

استاد

• Biomedical Informatics
• Electronic Health Records (EHRs)
• Data Mining
• +۴ مورد دیگر

George Hripcsak is the Vivian Beaumont Allen Professor of Biomedical Informatics and Director of Medical Informatics Services at New York-Presbyterian Hospital, Columbia University. He holds affiliations with the Vagelos College of Physicians and Surgeons and the Data Science Institute (DSI). His expertise spans clinical informatics, electronic health records (EHRs), and medical knowledge representation standards. Hripcsak earned degrees in chemistry, medicine, and biostatistics, and is a board-certified internist. Research focuses on leveraging EHR data for clinical research and patient safety through data mining and causal inference techniques. Notable contributions include the Arden Syntax (a national standard for medical knowledge representation) and leadership in the Observational Health Data Sciences and Informatics (OHDSI) network. He chairs the AMIA Standards Committee and has advised federal health informatics policies under HIPAA. His academic awards include Fellowships in the American College of Medical Informatics (1995) and New York Academy of Medicine. Current projects emphasize federated learning, genomic risk prediction, and large-scale real-world evidence analysis through initiatives like LEGEND-T2DM and All of Us Research Program. Educations: MD, Biostatistics, Chemistry Labs/Teams: OHDSI, DSI, Medical Informatics Services Grants & Funding: Not explicitly listed in provided texts