جست‌وجوی استاد و پژوهشگر

Jennifer S Fordمشاهده پروفایل

استاد

• Psycho-Oncology
• Cancer Survivorship
• Psychosocial Health
• +۴ مورد دیگر

Dr. Jennifer S. Ford is a Professor in the Department of Psychology at Hunter College, CUNY, and Director of the Hunter Psycho-Oncology Lab. She holds additional roles as Deputy Director of Clinical Training for the Health Psychology and Clinical Science doctoral program at the CUNY Graduate Center. Her research focuses on improving quality of life and clinical outcomes for pediatric, adolescent, and young adult (AYA) cancer survivors, with an emphasis on psychosocial adaptation, psychosexual functioning, fertility concerns, and behavioral interventions. She has pioneered technology-based interventions to address health disparities in survivorship care, including web-based decision aids for family planning and telehealth strategies for mental health support. Education: PhD in Clinical Psychology (Kent State University) Affiliations: Childhood Cancer Survivor Study (CCSS), Society of Behavioral Medicine, Annals of Behavioral Medicine (Associate Editor) Key Projects: Roadmap to Parenthood decision aid, EMPOWER breast cancer screening trial, FAM Study on fertility care disparities Her research integrates qualitative and quantitative methods to explore topics like anxiety management, peer relationships post-cancer, and identity formation among AYA survivors. She has secured funding from NIH grants, including U54 CA221704 for cancer health disparity research. The lab actively mentors undergraduates, graduate students, and postdoctoral researchers in translational psycho-oncology research.

Nicola Ballhausenمشاهده پروفایل

استادیار

• Developmental Psychology
• Cognitive Aging
• Prospective Memory
• +۱۲ مورد دیگر

Nicola Ballhausen is an Assistant Professor in the Department of Developmental Psychology at the Tilburg School of Social and Behavioral Sciences, Tilburg University, Netherlands. Her research focuses on cognitive and psychological aspects of aging, particularly prospective memory, executive function, and social influences on cognitive health in older adults. Her research interests include prospective memory , cognitive aging , metacognition , problem-solving in older adults , social cognition , and longitudinal studies of aging . She investigates how factors such as intergenerational contact, sense of purpose, and technology use impact cognitive performance and well-being in later life. Her work integrates experimental, survey-based, and qualitative methods, often in cross-national datasets like the Health and Retirement Study (HRS) and the English Longitudinal Study of Ageing (ELSA). The most recent articles highlight a strong focus on prospective memory across the lifespan , the role of social engagement in cognitive functioning , and designing accessible cognitive interventions for older adults. Her publications span top journals in gerontology, psychology, and cognitive science, reflecting interdisciplinary collaboration and methodological rigor. Dr. Ballhausen contributes to research aligned with the UN Sustainable Development Goals, particularly those related to healthy aging and well-being. She collaborates extensively with researchers across Europe and has contributed to major reference works such as The Oxford Handbook of Human Memory . Her work includes both empirical studies and methodological advancements, such as exploratory structural equation modeling. While no formal students or awards are listed, her role in supervising research and contributing to academic training is implied through her position and course involvement. Dr. Ballhausen is involved in the design and evaluation of web-based cognitive tools, such as the Shared, Web-based, Intelligent Flexible Thinking Training (SWIFT), emphasizing user-centered design and ecological validity. Her work bridges fundamental cognitive research with practical applications for aging populations.

Krzysztof Węcelمشاهده پروفایل

استاد

• Semantic Technologies
• Linked Open Data
• Big Data Analytics
• +۵ مورد دیگر

Dr hab. Krzysztof Węcel serves as Professor and current Head of the Department of Economic Informatics at Poznan University of Economics and Business (UEP), appointed on October 4, 2024. His primary affiliation spans over 25 years with UEP's Department of Economic Informatics, which maintains one of Poland's longest-running academic websites since 1998. He holds dual recognition through habilitation from University of Potsdam (2020) and professorship conferred by UEP (June 24, 2020). His academic milestones: Habilitation degree in Economic Informatics, University of Potsdam (2020) Professor title, Poznan University of Economics and Business (2020) Węcel's research centers on Semantic Technologies and data quality assessment across multilingual Wikipedia, with emphasis on company information verification, citation analysis, and open data applications. His work bridges Big Data analytics with practical business solutions, particularly in maritime logistics where he pioneered evolutionary algorithm-based AIS data processing. Current investigations focus on generative AI's dual role in creating and combating disinformation, including ChatGPT's impact on academic writing and fake news propagation. Recent publications (2022-2025) reveal three dominant trends: First, systematic analysis of Wikipedia's reliability across languages during crises like the pandemic and Ukraine war. Second, development of AI-driven fact-checking frameworks (e.g., OpenFact project's CLEF 2023 victory). Third, exploration of generative AI's societal impact ranging from student creativity to disinformation campaigns. Scientific awards received: Best Paper Award at ICIST 2017 Conference Award for most innovative article at NATCON 2018 conference Microsoft Azure for Research Award (2016) As academic advisor, he leads the 'Semantic Technologies' diploma seminar attracting high-achieving students, with participants winning the 29th UEP Foundation Competition (2025) and Eurostat's Web Intelligence Challenge (2024). His grant portfolio includes the 'Maritime Big Brother' project (2017) for ship voyage prediction using AIS data and Microsoft Azure funding for Wikipedia quality enhancement. Ongoing initiatives include OpenFact (fake news detection) and GOBLIN projects. He actively collaborates with SKN Data Science student circle (evidenced by 2024/2025 inaugural meeting) and international consortia like CLEF and QOD workshops. Departmental leadership involves managing the OpenFact research team that achieved top results in CheckThat! Lab competitions, alongside maritime data analytics groups applying evolutionary algorithms to shipping networks.

Catherine M. Brooksمشاهده پروفایل

استاد

• Family Law
• Children's Rights
• Juvenile Justice
• +۵ مورد دیگر

Catherine M. Brooks is a Professor at Creighton University School of Law, where she has served since joining the faculty in 1990 as an Associate Professor and earning tenure and promotion to full Professor by 1995. She designs and develops family law courses and innovative skills curricula for child advocacy, client counseling, and cultural competence, directing the certificate program in family law studies while coaching student teams to regional and national finalist positions in legal competitions. Her commitment extends beyond graduation as law alumni routinely consult her on complex family law matters including adoption, juvenile delinquency, and custody disputes. Her academic credentials include a BA ( in cursu honorum , summa cum laude ) and MA from Fordham University (1977), and a JD from the University of Virginia (1980). She holds membership in prestigious honor societies Phi Beta Kappa, Alpha Sigma Nu, and Phi Delta Phi, and is licensed by the American Bar Association, Pennsylvania Bar (state and federal), and Omaha Bar Association. Brooks' research centers on the legal treatment of vulnerable populations, with rigorous scholarship addressing justice rights of Native American children, equal access rights for children of LGBTQ+ parents, dignity rights of maltreated minors, and minors' refusal of medical treatment. She integrates social justice frameworks into legal pedagogy, emphasizing culturally competent lawyering and systemic reform for marginalized groups. Her work bridges theoretical analysis with practical application, notably through mediation advocacy and child welfare policy critiques. Publication trends reveal sustained focus on family law and children's rights since the 1990s, evolving from foundational juvenile court manuals to contemporary analyses of bankruptcy practice and bioethics. Recurring themes include inter-jurisdictional adoption conflicts, child sexual abuse in custody cases, and due process in institutional governance. Recent works prioritize skill-building resources for practitioners, reflecting her dedication to translating academic rigor into real-world legal solutions. Her accolades encompass professional recognition and academic honors: Ten Outstanding Young Omahans (1994) Phi Beta Kappa membership Alpha Sigma Nu membership Phi Delta Phi membership Brooks actively mentors students through skills competitions and alumnus consultations while securing nearly $500,000 in federal grants for a legal clinic and African American law student scholarships. She provides pro bono support to child welfare agencies and serves on the Creighton Inn of Court to guide new lawyers. Her grant work specifically targets equity in legal education and clinic-based child advocacy. She leads critical institutional initiatives as Chair of the University Committee on Rank & Tenure, creating comprehensive web resources (https://www.creighton.edu/provost/tenure-and-promotion), workshops for evaluators, and revisions to the Faculty Handbook. Previously, she created the Children's Rights Clinic at Seton Hall Law School and served as Assistant Deputy Public Defender in New Jersey, representing children in abuse cases for the Law Guardian Program.

Mayank Goelمشاهده پروفایل

استادیار

• Mobile Computing
• Sensing
• Signal Processing
• +۷ مورد دیگر

Mayank Goel serves as an Assistant Professor in the Software and Societal Systems Department (S3D) at Carnegie Mellon University's School of Computer Science. His research bridges computer science and societal impact through practical sensing systems that leverage existing environmental devices for health monitoring and human-computer interaction without requiring hardware modifications. Dr. Goel specializes in mobile computing, signal processing, and machine learning to develop unobtrusive health technologies applicable to real-world scenarios. His core research areas include passive activity recognition for chronic disease management (particularly multiple sclerosis), privacy-preserving acoustic sensing, smartwatch-based clinical interventions for post-operative care, and equitable healthcare systems for global development contexts. He emphasizes end-to-end solutions through close collaboration with medical professionals and designers to ensure immediate deployability outside laboratory environments. Analysis of his 2024-2025 publications reveals a strong interdisciplinary focus spanning computer science, biomedical engineering, and clinical practice. Key trends include longitudinal digital phenotyping for neurological conditions, on-device privacy preservation in activity recognition, and multimodal procedural assistance systems. His work consistently addresses real-world challenges in sensor placement flexibility, user adoption barriers, and equitable access to medical technologies. No scientific awards were mentioned in the available documentation. Information regarding student advising, research grants, or laboratory affiliations was not specified in the provided materials, though his publication record indicates active collaboration with medical professionals and bio-engineers for clinical validation of health technologies.

Isabel M. Santosمشاهده پروفایل

دانشیار

• Cognitive Psychology
• Clinical Neuropsychology
• Cancer-Related Cognitive Impairment
• +۴ مورد دیگر

Isabel M. Santos is an Associate Professor of Psychology at the University of Aveiro and serves as coordinator of the NeuroLab, an integrated research unit within the university's Health Team. Her work bridges clinical psychology, oncology, and cognitive neuroscience through interdisciplinary collaboration. Her research program centers on Cancer-Related Cognitive Impairment (CRCI) in cancer survivors, focusing on developing the CanCOG web-based cognitive rehabilitation program. Additional investigations include neuropsychological assessment tools for CRCI, biomarker identification, work-related impact analysis, and attentional biases. The NeuroLab also employs psychophysiological methods and eye tracking to examine social cognition—particularly facial signal processing (emotions, identity, gaze)—and how individual differences, clinical conditions, and adverse childhood experiences modulate these processes. Recent publications (2021-2023) reveal strong thematic continuity in CRCI research, with emphasis on Portuguese population adaptations, breast cancer-specific cognitive challenges, and intersections between cancer history and reproductive concerns. Methodologically, her work combines experimental psychology, clinical assessment, and digital intervention development. Scientific Awards: No scientific awards mentioned in source materials While specific student advising details are absent from source materials, her NeuroLab leadership implies active mentorship of graduate researchers. No grant information appears in the provided text, though her program development (CanCOG) suggests external funding involvement. The NeuroLab operates as a specialized research hub within the Health Team, utilizing eye-tracking technology and psychophysiological measures to investigate cognitive-emotional processing in clinical populations—particularly cancer survivors—and normative social cognition mechanisms. Current projects integrate rehabilitation science with fundamental cognitive research to address real-world patient challenges.

Alberto Monge Roffarelloمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Digital Wellbeing
• End-User Development
• +۷ مورد دیگر

Alberto Monge Roffarello is an Assistant Professor (RTDb) at the Department of Control and Computer Engineering (DAUIN), Politecnico di Torino, where he is a member of the e-Lite Research Group. He teaches courses including Human-AI Interaction, Digital Wellbeing, and Web Applications across multiple degree programs such as Computer Science and Systems Engineering, Computer Engineering, and Film and Media Engineering. His research centers on Human-Computer Interaction, with a strong focus on Digital Wellbeing and End-User Development in the Internet of Things . He investigates how users can personalize smart environments through trigger-action programming and how design patterns in digital interfaces—such as Infinite Scroll and Never-Ending Autoplay—exploit psychological vulnerabilities to capture attention. His work aims to empower users with tools for self-control, meaningful interaction, and habit mitigation. The recent publications highlight a consistent trajectory in digital self-control tools , attention-aware design , and semantic recommendation systems for IoT. His research bridges theoretical analysis with practical tools, including conversational agents (HeyTAP), debugging platforms (EUDebug, My IoT Puzzle), and ontologies (EUPont) to lower the barrier for non-technical users. Scientific contributions include: Systematic review of digital self-control tools (TOCHI 2022) Typology of Attention-Capture Damaging Patterns (CHI 2023) Design frameworks for meaningful interactions (AVI 2022) Behavioral interventions for smartphone habits (TiiS 2021) He actively supervises PhD students—Francesca Russo, Robert Everett Schwartz, and Luca Scibetta—on topics ranging from AI for education to digital wellbeing in high-schools. His work is supported by competitive research projects such as EMPATHY - Empathetic Mobility Platform . He has contributed to multiple national and international collaborations, notably with Santa Clara University (USA). Alberto leads and participates in research initiatives within the e-Lite - Intelligent and Interactive Systems group, focusing on intelligent interfaces, user empowerment, and ethical design. His lab develops tools that translate high-level user intentions into executable IoT rules, promote digital literacy, and support conscious technology use.

Summer Hanمشاهده پروفایل

دانشیار

• Statistical genetics
• Molecular epidemiology
• Cancer screening
• +۵ مورد دیگر

Dr. Summer Han serves as Associate Professor of Medicine, Neurosurgery, and Epidemiology at Stanford University School of Medicine. She leads research through the Quantitative Sciences Unit (QSU) in the Biomedical Informatics Research Division of the Department of Medicine and maintains joint appointments in the Department of Neurosurgery. Her work bridges statistical methodology development with clinical applications in cancer screening and neuroscience. Her research program focuses on statistical genetics, molecular epidemiology, and risk prediction modeling for complex diseases. Key areas include developing novel methods for analyzing high-dimensional genomic data, creating dynamic risk prediction models under competing risks, and establishing evidence-based cancer screening strategies. Her team integrates genetic, environmental, and clinical factors to improve early detection of lung cancer and second primary malignancies, with particular attention to reducing racial disparities in screening outcomes. Dr. Han's scientific contributions have been recognized through prestigious awards including the NCI R37 MERIT Award for Early-Stage Investigators and the Department of Medicine Teaching Award in Biomedical Informatics Research. Her team has developed impactful tools such as the SPLC-RAT for second primary lung cancer risk assessment and RAMBO for brain metastasis prediction in lung cancer patients. She actively mentors PhD students and postdoctoral fellows, with several former trainees securing faculty positions at institutions including Cornell University and IIT Roorkee. Current research initiatives include the Oncoshare-Lung database integrating EHRs from Stanford Health Care and 23+ Sutter Health sites across Northern California, and the Cancer Data Science Shared Resources Core which she co-directs at the Stanford Cancer Institute. NCI R37 MERIT Award (Early-Stage Investigator) 2022 Department of Medicine Teaching Award in Biomedical Informatics 2024 SCI Equity Impact Research Grant 2024 Neurosurgery Research Seed Grant Award Multiple NCI R01 grants (CA226081, CA282793) Her laboratory collaborates extensively across Stanford Medicine, working with thoracic oncologists, neurosurgeons, and epidemiologists to translate statistical innovations into clinical practice. Current projects address socioeconomic factors in cancer risk stratification, real-time physical activity monitoring in spine surgery recovery, and machine learning approaches for genomic data analysis.

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.

Mieke Koehoornمشاهده پروفایل

استاد

• Occupational Health
• Workers' Compensation
• Sex and Gender Differences in Work Injury
• +۵ مورد دیگر

Mieke Koehoorn serves as Vice Dean, Academic Affairs, and Professor at the School of Population & Public Health within the University of British Columbia . Her academic oversight includes strategic planning, faculty development, and maintaining academic standards. She has held leadership roles such as UBC Vancouver Senator and Head of the Division of Occupational and Environmental Health. Research Interests : Dr. Koehoorn focuses on occupational health, gendered work environments, work disability, and data linkage for epidemiological studies. Her work addresses disparities in workers’ compensation, safety protocols, and health equity in digital health interventions. Article Trends : Recent publications emphasize work disability duration , gender and immigrant disparities , digital STI testing systems , and occupational hazard exposure , reflecting interdisciplinary approaches combining epidemiology, policy analysis, and social determinants of health. Awards : Canadian Institutes for Health Research Chair in Gender, Work and Health Michael Smith Health Research Scholar Award Senior Scholar Awards Administrative Contributions : She has served as Associate Director of Faculty Affairs and Research for the School of Population & Public Health and co-led the Partnership for Work, Health and Safety with WorkSafeBC.

Rory A. Pfundمشاهده پروفایل

استادیار

• Clinical Psychology
• Substance Use Disorders
• Gambling Disorder Treatment
• +۳ مورد دیگر

Rory A. Pfund, Ph.D., is an Assistant Professor in the Department of Psychology at the University of Memphis and serves as Research Director of the Tennessee Institute for Gambling Education & Research. He specializes in evaluating psychological treatments for gambling disorder and substance use disorder, utilizing methodologies like meta-analysis and randomized controlled trials. His work focuses on improving treatment efficacy through evidence-based practices such as cognitive-behavioral therapy (CBT) and contingency management. Education: B.S., University of Scranton; M.S. and Ph.D., University of Memphis. Research Interests: Dr. Pfund’s research emphasizes optimizing treatment outcomes for addictions and gambling issues. Key areas include developing open-access meta-analytic databases (e.g., www.metapsy.org/database/gambling), modernizing personalized feedback interventions for college students, and creating web-based portals to streamline gambling disorder treatment access (e.g., www.thegamblingclinic.com). His work bridges clinical practice with rigorous statistical evaluation. Grants & Funding: Supported by the National Institute on Alcohol Abuse and Alcoholism, International Center for Responsible Gambling, and Tennessee Department of Mental Health and Substance Abuse. Labs/Teams: Active in the Tennessee Institute for Gambling Education & Research, focusing on translational research to address gambling-related harms. Serves as Associate Editor for Addiction and Journal of Gambling Studies , and Consulting Editor for Psychology of Addictive Behaviors .

• Domestic Violence
• Spiritual Abuse
• Forensic Mental Health
• +۵ مورد دیگر

Rahmanara Chowdhury is a Senior Lecturer in Forensic Psychology at Nottingham Trent University. A Chartered Psychologist and Associate Fellow of the Higher Education Academy, she specializes in culturally informed approaches to domestic violence, spiritual abuse, forensic mental health, and holistic wellbeing, particularly within Muslim communities. Her pedagogy spans undergraduate and postgraduate psychology courses, with a focus on supervising projects related to minority community dynamics. PhD in Domestic Violence and Abuse in UK Muslim Communities, funded by ESRC at Brunel University London Research Associate at Nottingham Trent University in forensic mental health projects Co-editor of Holistic Responses to Reducing Reoffending (2024), addressing minority needs in criminal justice Her research intersects decolonial methodologies with forensic psychology, examining spiritual abuse in faith contexts, cultural competence in criminal justice, and collaborations with grassroots organizations. Key publications include analyses of domestic violence in Scottish Muslim communities (2024), holistic resettlement strategies (2023), and critiques of cultural barriers in mental health access (2021). She advocates for bridging communities marginalized as 'others' through academic-practitioner partnerships. Scientific Recognition : Chartered Psychologist (British Psychological Society), Associate Fellow of the Higher Education Academy Rahmanara actively supports PhD enquirers from under-represented groups and has contributed to landmark reports on minority communities and criminal justice reform. Her work emphasizes relationship-building and capacity development across sectors like policing, healthcare, and domestic abuse services.

Márton Karsaiمشاهده پروفایل

دانشیار

• Network Science
• Human Dynamics
• Temporal Networks
• +۱۱ مورد دیگر

Márton Karsai is an Associate Professor and Head of the Department of Network and Data Science at the Central European University in Vienna, and a Research Professor at the HUN-REN Alfréd Rényi Institute of Mathematics in Budapest. He leads the Computational Human Dynamics Lab, focusing on data-driven modeling of social and biological systems. He is also the Editor-in-Chief of the journal Advances in Complex Systems . His research interests lie at the intersection of network science, human dynamics, and socioeconomic systems. He specializes in temporal and spatial networks, modeling contagion processes (both social and biological), and analyzing large-scale human behavioral datasets. His work integrates computational methods with real-world data to understand complex social phenomena such as mobility patterns, migration, segregation, and epidemic spread. He is particularly known for using remote sensing and digital trace data to infer poverty and socioeconomic conditions in urban areas. The recent publications highlight a strong trend in applying network science and machine learning to societal challenges. His work spans high-impact journals in complex systems, data science, and computational social science, with recurring themes in epidemic modeling, urban analytics, socioeconomic inference, and the structure of temporal and spatial networks. The research is highly interdisciplinary, combining physics, computer science, and social science methodologies. He has been invited to speak at major events such as the Conference on Complex Systems, the Lake Como School on Complex Networks, and workshops on data for vulnerability assessment. He served as general co-chair of CCS 2021 in Lyon, demonstrating leadership in the complexity science community. General Co-Chair, Conference on Complex Systems (CCS) 2021, Lyon Invited speaker, 4th Workshop on Data for the Wellbeing of the Most Vulnerable @ ICWSM'23 Invited speaker, Complexity72h Workshop Invited lecturer, Lake Como School on Complex Networks Invited talk, Hungarian Academy of Sciences on COVID-19 modeling While specific grant details are not listed, his coordination of projects on segregation, migration, and poverty inference—often in collaboration with the Complexity Science Hub—suggests active involvement in externally funded interdisciplinary research. He advises students through the Department of Network and Data Science at CEU, though specific advisees are not named. His lab, the Computational Human Dynamics Lab, serves as a hub for data-driven research on social systems.

Bruce M. McLarenمشاهده پروفایل

استاد

• Learning Sciences
• Educational Technologies
• Human-Centered AI
• +۷ مورد دیگر

Bruce M. McLaren is a Professor at Carnegie Mellon University's Human-Computer Interaction Institute (HCII), where he heads the McLearn Lab. He previously served as President of the International Artificial Intelligence in Education Society (2017-2019) and has been elected to the Executive Committee of the AI-ED Executive Committee for two separate terms (2012-2017 and 2022-2027). Dr. McLaren's research focuses on how technology can support education through digital learning games , intelligent tutoring systems , and collaborative learning environments. His work has demonstrated that students can learn decimals more effectively through Internet-based learning games compared to conventional methods. He has also conducted significant research on erroneous examples in learning, showing how students benefit from working with incorrect solutions alongside intelligent tutors. His publications reveal a strong trend toward integrating artificial intelligence with educational technologies, particularly in analyzing student learning patterns, developing adaptive educational games, and creating tools that support both students and teachers in classroom settings. Recent work increasingly focuses on the application of generative AI like ChatGPT in educational contexts. Best Paper Award at ECTEL 2023 for research on ChatGPT in decimal learning Fulbright Scholarship recipient for educational technology work in Chile (2019) Multiple best paper awards at major AI in Education conferences Erskine Fellowship for teaching Intelligent Tutoring Systems in New Zealand As an advisor, Professor McLaren has mentored numerous students in the HCII program and has secured significant research funding, including NSF grants for projects like AdaptErrEx and LASAD. His lab, the McLearn Lab, serves as a hub for interdisciplinary research at the intersection of learning sciences and artificial intelligence. Beyond academia, he brings over 20 years of commercial sector experience, having served as Director of eCommerce Technologies at OpenWebs Corporation and leading expert system projects at Carnegie Group, Inc.

Paul Brindleyمشاهده پروفایل

مدرس ارشد

• Digital Representations of Landscape
• GIS Mapping
• Health Inequality
• +۵ مورد دیگر

Dr. Paul Brindley is a Senior Lecturer at the School of Architecture and Landscape , University of Sheffield, specializing in geospatial analysis of human-landscape interactions. His work combines GIS, statistics, and digital data to address urban greenspace equity, rural-urban classification, and health-environment linkages. Senior Lecturer in GIS and Spatial Analysis Key researcher in the NERC-funded Improving Wellbeing through Urban Nature (IWUN) project Co-author of official Rural-Urban Classification for England and Wales Research focuses on: Urban Greenspace Accessibility using GPS and social media data Health Inequality Mapping through epidemiological GIS studies Vague Geographic Objects modeling of subjective spatial boundaries Computational Neighborhood Mapping via web data mining Project leadership includes: 2016-2019: IWUN Work Package 1 (Sheffield health-green space analysis) 2013-2014: Rural-Urban Classification updates for 2011 Census 2015: Real-Time Bus Data Mapping system development Teaching modules: LSC119: The Changing Landscape LSC336: Landscape Planning Toolkits LSC5020: Rural Landscape Planning GIS Workshops Professional contributions: Co-developer of Crime Map Analyst toolkit for non-GIS experts Joint Director of Learning and Teaching Links Member of Creative Spatial Practices initiative