استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشیتان را پیدا کنید و با او ارتباط بگیرید.
نمایش ۱۶-۳۰ از ۷۶۱ استاد راهنما
اطلاعات این پروفایلها از صفحات عمومی دانشگاهها جمعآوری شده و ممکن است بهروز نباشد.
دانشیار
Dr. Reuben Binns is an Associate Professor of Human Centred Computing at the University of Oxford , where he investigates intersections between computer science, law, and philosophy. His research focuses on data protection , machine learning ethics , and regulation of technology .
Maria K. E. Lahman is a Professor in the Department of Applied Statistics and Research Methods within the College of Education and Behavioral Sciences at the University of Northern Colorado. She holds a Ph.D. in Child Development from Virginia Polytechnic Institute and State University (2001) and serves as Co-Chair of the Institutional Research Board at UNC. Her academic work bridges qualitative methodology with ethical research practices and creative representation. Dr. Lahman's research focuses on culturally responsive qualitative research, research ethics, early childhood education, and the aesthetic representation of research through poetry and other creative forms. Her scholarship addresses creating ethical solutions for culturally complex methodological situations, diversity issues, young children, mothering experiences, and qualitative writing representation. As a Mennonite, she integrates social justice and peacebuilding into her pedagogy and scholarship. Her recent publications show a clear trajectory toward innovative research representation, with a particular emphasis on research poetry and culturally responsive methodologies. The 15 most recent articles reveal a consistent focus on ethical research practices, creative representation forms, and culturally responsive approaches to qualitative inquiry, with increasing attention to poetry as a legitimate research method and representation form. Outstanding Advisor Award, College of Education and Behavioral Sciences, UNC (2008-2009) Outstanding Scholar Award, College of Education and Behavioral Sciences, UNC (2007-2008) Service Provider Award, University of Northern CO (2006-2007) Outstanding Teacher Award, College of Education, UNC (2002-2003) Dr. Lahman has advised numerous graduate students in qualitative methodology and has been recognized for her exceptional mentorship. Her research program has generated multiple textbooks including Ethics in Social Science Research: Becoming Culturally Responsive (2017) and Writing and Representing Qualitative Research (2021), which have become influential resources in the field. She maintains an active research agenda focused on advancing ethical research with diverse groups and developing innovative methods for representing qualitative findings. Her work centers around creating spaces for culturally responsive research practices, with particular attention to vulnerable populations and ethical dilemmas in fieldwork. Dr. Lahman's scholarship challenges traditional research boundaries through her exploration of research poetry and other aesthetic forms of representation that maintain academic rigor while embracing creative expression.
Professor Ioannis Katakis is a Faculty Member at the University of Nicosia, where he is affiliated with the School of Sciences and Engineering and the Department of Computer Science. He has held various academic positions across multiple institutions including Aristotle University of Thessaloniki, University of Cyprus, Cyprus University of Technology, Open University of Cyprus, Hellenic Open University, Athens University of Economics and Business, and National and Kapodistrian University of Athens. His educational background includes a PhD in Machine Learning for Automated Text Classification (2005-2009), a Master's in Information Systems (2005-2007), and a Bachelor's in Computer Science (2000-2004), all from Aristotle University of Thessaloniki. Professor Katakis specializes in several cutting-edge areas of computer science and data analysis. His primary research interests include Mining Social, Web and Urban Data , Sentiment Analysis and Opinion Mining , Data Streams , and Multi-label Learning . His work bridges theoretical machine learning approaches with practical applications in social media analysis, healthcare informatics, privacy protection, and smart city technologies. He has published extensively in top venues including CIKM, ECML/PKDD, IEEE TKDE, and ECAI. His recent publications demonstrate a clear trend toward applying machine learning techniques to real-world problems with societal impact. He has focused on areas such as GDPR compliance in smart devices, sentiment analysis in crowd-sourced content, healthcare applications including drug reaction classification and brain disease monitoring, and privacy protection in wearable technologies. His work often involves multi-modal data analysis and addresses challenges in data streams and multi-label classification. Professor Katakis has made significant contributions to his field, with his research cited over 4,200 times. He serves as an Editor for the journal Information Systems and has edited four special issues in journals such as DAMI and InfSys. He regularly contributes to the academic community by serving on program committees for major conferences including ECML/PKDD, WSDM, DEBS, and IJCAI, and by reviewing for prestigious journals like TPAMI, DMKD, TKDE, TKDD, JMLR, TWEB, and ML. He has been actively involved in European research projects, notably serving as Quality Assurance Coordinator and Senior Researcher for projects such as VAVEL (www.vavel-project.eu) and INSIGHT (www.insight-ict.eu). His grant activities demonstrate a strong focus on collaborative, interdisciplinary research with practical applications in urban data management, social media analysis, and healthcare informatics. He has organized three workshops at major conferences (ICML, ECML/PKDD, EDBT/ICDT) and has extensive experience translating research into practical applications through his involvement in European projects.
دانشیار
Gagan Wig is an Associate Professor at the University of Texas at Dallas, School of Behavioral and Brain Sciences, with adjunct appointments in Psychiatry at UT Southwestern Medical Center. He directs the Wig Neuroimaging Lab, focusing on brain network connectivity across lifespan, healthy/pathological aging, and brain health disparities. His research employs structural/functional MRI, DTI, and TMS to study large-scale brain networks and their relationship to memory and attention. Professional preparation includes: Post-doctoral Associate in Neurology, Washington University School of Medicine (2012) Post-doctoral Associate in Psychology, Harvard University (2009) Ph.D. in Cognitive Neuroscience, Dartmouth College (2006) B.S. in Behavioral Neuroscience, University of British Columbia (2001) Research explores how brain networks change during aging and how socioeconomic status moderates these changes. His work reveals that education protects against brain network decline and that participant diversity is crucial for advancing brain aging research. Publications focus on neuroimaging of lifespan changes, Alzheimer's biomarkers, socioeconomic impacts on brain health, and methodological innovations in network analysis. Recent work demonstrates how functional network organization supports cognition despite Alzheimer's pathology and how data quantity affects network segregation measures. Awards include the Understanding Human Cognition Scholar Award from James S. McDonnell Foundation (2006). He has received significant funding including a $2.9M NIH grant studying socioeconomic links to Alzheimer's susceptibility and DARPA support for novel data sonification approaches.
Alex John London is the K&L Gates Professor of Ethics and Computational Technologies at Carnegie Mellon University, where he also serves as co-lead of the K&L Gates Initiative in Ethics and Computational Technologies, Director of the Center for Ethics and Policy, and Chief Ethicist at the Block Center for Technology and Society. His work spans multiple institutions, including affiliations with the Center for Bioethics and Health Law at the University of Pittsburgh. Dr. London earned his Ph.D. in Philosophy from the University of Virginia, followed by a post-doctoral fellowship at the University of Minnesota's Center for Bioethics. He joined Carnegie Mellon University in 2000 and has established himself as a leading scholar in ethics at the intersection of technology, medicine, and policy. His academic journey includes being a Visiting Scholar at Harvard University's Program in Ethics and Health. Professor London's research spans ethical and policy issues surrounding novel technologies in medicine, biotechnology and artificial intelligence, methodological issues in theoretical and practical ethics, and cross-national issues of justice and fairness. His work in AI ethics critically examines structural obstacles to safe and effective technologies, challenges conventional notions of algorithmic bias, and questions requirements for explainability in medical contexts. His foundational work on clinical equipoise and the 'integrative approach' to risk assessment has shaped research ethics guidelines globally. He has made significant contributions to international research ethics, particularly regarding justice, responsiveness to host community health needs, and post-trial access. Professor London's scholarly output demonstrates a trajectory toward addressing the ethical challenges of emerging technologies, with increasing focus on justice-led approaches to AI innovation, accountability frameworks, and the sociotechnical dimensions of healthcare AI systems. His work increasingly addresses how AI can be designed to respect human dignity while navigating complex ethical terrain in healthcare settings. New Directions Fellowship from the Andrew W. Mellon Foundation (2005, 2010) Hastings Center Fellow (2011) Elliott Dunlap Smith Award for Distinguished Teaching (2016) Distinguished Service Award from the American Society of Bioethics and Humanities (2017) As an educator, Professor London teaches courses on ethical theory, bioethics, ethics and AI, and research ethics. His influential textbook 'Ethical Issues in Modern Medicine' (8th edition) is one of the most widely used resources in medical ethics education. His book 'For the Common Good: Philosophical Foundations of Research Ethics' (2022) provides a comprehensive framework for understanding research ethics as serving the common good. Professor London has advised numerous students and mentored early-career researchers in bioethics and technology ethics. His policy work extends to multiple national and international organizations including the World Health Organization Expert Group on Ethics and Governance of AI, the National Academy of Medicine Action Collaborative, and the U.S. National Science Advisory Board for Biosecurity. Professor London leads several significant research initiatives, including serving as co-leader of the ethics core for the NSF AI Institute for Collaborative Assistance and Responsive Interaction for Networked Groups (AI-CARING). His Center for Ethics and Policy at CMU serves as a hub for interdisciplinary research addressing pressing ethical challenges in technology and healthcare. He is actively involved in shaping policy through his membership on the steering committee of the AAAI/ACM Conference on Artificial Intelligence, Ethics and Society (AIES) and his co-chair role in the U.S. National Academies planning committee on computational modeling of biological agents.
Rebecca L. Walker is a Professor in the Department of Philosophy (College of Arts and Sciences) and a Professor of Social Medicine in the School of Medicine at the University of North Carolina at Chapel Hill. She also serves as Core Faculty in the Center for Bioethics and is an Adjunct Professor in Public Policy. Her research focuses on biomedical ethics, particularly animal research, phase I clinical trials, and genomic ethics. Dr. Walker holds a Greenwall Foundation post-doctoral fellowship in bioethics and health policy (completed in 2001), and has held visiting faculty positions at the University of Michigan. She teaches courses on bioethics, virtue ethics, and the philosophy of medicine at both undergraduate and graduate levels, and contributes to the medical school curriculum in social and health systems. Her academic leadership roles include serving on UNC’s Animal Care and Use Committee, co-directing the Hospital Ethics Service’s education program, and leading NIH-funded grants such as the CMORE project on healthy volunteer research ethics. She is a Hastings Center Fellow (2021) and has authored/co-edited influential works like Of Mice and Primates: Virtue Ethics and Animal Research (2025) and The Social Medicine Reader (2019). Dr. Walker’s research spans ethical issues in biotechnology, distributive justice in healthcare, and the moral status of nonhuman animals. Her recent projects include a study on correctional health care providers’ professional challenges and a National Human Genome Research Institute grant examining incidental enhancements in gene editing technologies. She actively engages in policy debates around genomic screening, animal welfare, and translational research ethics. Her awards and recognitions include the Hastings Center Fellowship, which acknowledges her contributions to ethical scholarship in health, science, and technology. Her work bridges philosophical theory with applied ethics, emphasizing virtue ethics and interdisciplinary collaboration across medicine, policy, and the social sciences.
استادیار
Theodore C Bania, MD, is an Assistant Professor of Emergency Medicine at the Icahn School of Medicine at Mount Sinai, holding multiple leadership roles including Associate Dean for Human Subjects Research Protection, IRB Chair, and Director of Medical Toxicology at Mount Sinai West and Morningside. He specializes in emergency medicine and medical toxicology, with a focus on lipid resuscitation therapy for drug toxicity and HIV education via mobile devices. Education: MD from SUNY Downstate Health Sciences University, fellowship in Medical Toxicology at NYU, and a Master of Science in Clinical Research from Albert Einstein College of Medicine. Research interests include cardiovascular drug toxicity, chemical warfare agents, substance abuse education, and research ethics. His work has led to advancements in lipid therapy models and HIV/HCV education strategies. He has received NIH/NIDA grants and holds the 2010 Super Doctor award. He oversees over 25 years of research at Mount Sinai’s emergency departments and chairs institutional review boards. His publications span toxicology, bioethics, and clinical practices.
Stefan Duma is the Harry C. Wyatt Professor of Engineering and a University Distinguished Professor at Virginia Tech. He is currently serving as Interim Department Head in the Department of Biomedical Engineering and Mechanics within the College of Engineering. He also directs the Institute for Critical Technology and Applied Sciences and leads the Virginia Tech Helmet Lab. His educational background includes: Ph.D. in Mechanical Engineering from the University of Virginia (2000) M.S. in Industrial Engineering from the University of Cincinnati (1996) B.S. in Mechanical Engineering from the University of Tennessee (1995) Dr. Duma's research focuses on injury and impact biomechanics, with applications in automobile safety design , sports biomechanics (especially football and hockey), and military restraint systems . His work investigates head and neck injury mechanisms, concussion thresholds, and protective equipment performance. He has pioneered methodologies for evaluating helmet safety and individualized injury tolerance. The recent publications reflect a strong focus on head impact biomechanics , concussion prediction , and wearable sensor validation . The research spans youth and collegiate sports, drone impact risks, and automotive safety. Key themes include individual variability in injury response, helmet performance assessment, and translational safety applications. Scientific recognition includes his appointment as a University Distinguished Professor and leadership roles, though specific awards are not listed in the provided text. Dr. Duma advises a team of researchers and students, including Steven Rowson, Abigail Tyson, and Eamon Campolettano. His lab has secured significant research funding (implied by patent and publication volume), particularly in developing safety standards and injury prevention technologies. The Virginia Tech Helmet Lab is central to his research, conducting experiments with human volunteers, PMHS, and advanced instrumentation. His lab, the Virginia Tech Helmet Lab, is a leading center for impact biomechanics research, focusing on real-world safety challenges in sports, transportation, and emerging technologies like drones.
Peter Newman, Ph.D., serves as Dean of the Rubenstein School of Environment and Natural Resources at the University of Vermont since July 1, 2024, and holds the Suzie and Allen Martin Professor title. With a career spanning decades, he has conducted extensive research on visitor management in protected areas, soundscape management, and transportation planning, partnering with the National Park Service's Natural Sounds and Night Sky Division since 2012. Education Ph.D. in Natural Resources, University of Vermont M.S. in Forest Resource Management, SUNY College of Environmental Science and Forestry B.A. in Political Science, University of Rochester His research focuses on social carrying capacity decision-making in protected area management, with fieldwork across major U.S. parks including Denali, Grand Canyon, and Great Smokies. He has developed frameworks for acoustic management and Leave No Trace efficacy, contributing to sustainable outdoor recreation practices. Scientific Awards: Cooperative Ecosystem Studies Unit National Award (2012) George Wright Society National Award for Achievement in Social Sciences (2013) Throughout his career, Newman has led high-quality teaching at Penn State's Graduate Degree Program in Acoustics and mentored numerous students through research projects on wildlife approach norms, pandemic recreation shifts, and waste management strategies in national parks. He previously served as a Park Ranger in Yosemite and Backcountry Patrol member in Idaho.
دانشیار
Stefano Caria is an Associate Professor in the Department of Economics at the University of Warwick. He will join the University of Oxford in 2025. His affiliations include J-PAL, CEPR (Development and Labour), BREAD, CAGE, and STICERD's EEE program. He serves as a trustee for the Global Change Data Lab (OWID), IGC lead academic for Ethiopia, and co-chair of J-PAL's Labor Sector. His research focuses on labor markets, development economics, and experimental methods, with recent projects addressing refugee employment in Jordan, garment sector dynamics in Ethiopia, and urban poverty in Bangladesh. Key publications include studies on labor market exclusion in African cities, firm growth constraints, and the impact of childcare subsidies in Egypt. He has received the Leverhulme Prize and contributes to policy through roles like editor at Econometrica and advisor to international organizations. Current work explores social structures in labor markets, climate migration, and adaptive policy interventions.
Daniel Aldrich is a Dean's Professor of Resilience and Director of the Resilience Studies Program at Northeastern University , affiliated with the College of Social Sciences and Humanities and Political Science Department . His career spans decades of research on disaster resilience , social capital , and post-crisis recovery , with fieldwork across Japan, India, and Africa. Education : PhD and MA in Political Science from Harvard University, MA from UC Berkeley, BA from UNC Chapel Hill. Leadership : Co-Director of Global Resilience Institute, Board member of journals Asian Politics and Policy and Risk Hazards and Crisis in Public Policy . Research Focus centers on social capital's role in disasters , controversial facility siting , and countering violent extremism . His work reveals how community networks enhance survival rates during tsunamis, hurricanes, and pandemics, and how decentralized decision-making improves recovery. Scientific Contributions include groundbreaking studies on Fukushima nuclear policy , social ties in evacuation behavior , and resilience through rainwater harvesting . His 2019 book Black Wave analyzes Japan's 3/11 disasters. Grants : NSF, Fulbright, Abe Foundation, Rasmussen Foundation, Japan Foundation. Awards : TIER 1 NEU Award, AAAS Fellowship, NSF Research Center Grant, University Faculty Scholar (Purdue). Media Engagement spans New York Times , CNN , AP , Reuters , and NPR , with over 50 media appearances in 2025 alone. He consults for the New England Aquarium and Louisiana Coastal Protection Authority .
Stuart E. Middleton is a Professor in the Electronics and Computer Science (ECS) department at the University of Southampton, where he has been employed since 2003. His research bridges artificial intelligence with practical applications in social science, mental health, and security domains. He leads multiple research projects funded by DTP and CISDnS CDT, focusing on multimodal natural language processing and large language models for social good applications. Professor Middleton's research interests center on Natural Language Processing, Large Language Models, and Human-in-the-loop AI systems. His work spans mental health applications (particularly suicide risk detection and mood change analysis), social media analysis for crisis mapping, geoparsing for location extraction, and argument mining in political discourse. He has developed numerous open-source NLP projects and datasets including CPIQA for climate science, ConversationMoC for mental health monitoring, and M-Arg for multimodal argument mining. His research demonstrates how AI can effectively support human decision-making in critical domains like mental healthcare, defense applications, and crisis management. His recent publications reveal a strong trend toward applying LLMs to high-impact societal challenges, particularly in mental health monitoring and climate science verification. He has pioneered methods for detecting suicidal ideation in social media, identifying moments of mood change, and developing context-aware question answering for climate papers. His work consistently emphasizes the importance of human oversight in AI systems, with numerous publications on responsible AI, regulation, and human-in-the-loop approaches. Ranked 1st in ECAL-2024 shared task on suicidal ideation detection Ranked 1st in NAACL-2022 shared task on suicide risk and mood change classification Winner of 'best paper' award at WWW2002 Semantic Web Workshop Professor Middleton actively supervises PhD students through multiple funded projects including 'Multimodal Natural Language Processing for Computational Social Science', 'Large Language Models for Military Veteran Mental Health', and 'Large Language Models for Human/AI Information Foraging to Combat Digital Human Trafficking into Terrorism'. He has secured significant funding from UKRI, DSTL, and other sources to support his research in responsible AI applications. He organizes major workshops including the RAI UK Workshops on Responsible AI for Mental Health and AIUK workshops on AI for Data Rescue and Defense applications. His research group maintains numerous GitHub repositories with open-source NLP tools and datasets that have been widely adopted by the research community.
James Abbas serves as Professor of Biomedical Engineering at the University of Arkansas College of Engineering, where he develops neural engineering solutions for medical rehabilitation and exercise. His work integrates neurotechnology design, computational modeling, and human subject experimentation to advance rehabilitation systems. His academic background includes: B.S. in Bioelectrical Engineering from Brown University M.S. and Ph.D. in Biomedical Engineering from Case Western Reserve University Postdoctoral Fellowship at Shriners Hospital in Philadelphia, PA Dr. Abbas' research centers on neural engineering for rehabilitation , with expertise in neurotechnology development , computational modeling of neuromuscular systems , and experimental evaluation of rehabilitation technologies . His work bridges engineering innovation with clinical applications, particularly for Parkinson's disease and spinal cord injury rehabilitation. Key methodologies include intrafascicular electrode design, stimulation waveform optimization, and haptic feedback systems for prosthetic control. Analysis of his 2021-2025 publications reveals dominant trends in selective peripheral nerve stimulation , neural interface engineering , and personalized rehabilitation robotics . His work consistently addresses clinical translation challenges, with increasing focus on wearable military rehabilitation systems and AI-driven personalization of neurorehabilitation protocols. Professional recognition includes: Senior Member of the National Academy of Inventors Senior Member of IEEE Dr. Abbas maintains significant editorial leadership as Associate Editor for IEEE EMBS and Neural Engineering Conferences, while serving on the Editorial Boards of the Journal of Neuroengineering and Rehabilitation and Frontiers in Neuroengineering. He contributes to national initiatives as a Steering Committee member for the NIH SPARC Initiative's Data Resource Center. Though specific grant details aren't provided, his active research program and editorial roles indicate substantial funding and collaborative networks. No student advisees are listed in the source material. His research operates at the intersection of the Biomedical Engineering department and clinical rehabilitation partners, with emphasis on translating neural engineering innovations into practical rehabilitation solutions through interdisciplinary teams.
پژوهشگر
Kamrul Faisal serves as a Doctoral Researcher and Grant-funded researcher within the Faculty of Law at the University of Helsinki. His scholarly work focuses on the dynamic interplay between technology, law, and policy, with expertise in digital rights, cybersecurity, telecommunications legislation, and data privacy. Faisal is committed to advancing equitable legal frameworks for the digital era through rigorous research and ethical analysis. Research Interests Faisal's research centers on data protection law, particularly the General Data Protection Regulation (GDPR), and its application to vulnerable groups including children. He investigates the tensions between privacy rights and freedom of expression in criminal data contexts, and critically assesses national data protection measures such as Finland's biometric data proposals. His work also explores vulnerability theory within data protection frameworks and the intersection of human rights with digital technologies. Publication Trends His recent scholarly output (2024-2025) reveals a concentrated effort on GDPR-related challenges, with publications addressing children's data rights, biometric surveillance risks, and the reconciliation of privacy with other fundamental rights. Faisal's work demonstrates a methodical approach to identifying gaps in current regulations and proposing nuanced solutions for complex digital society issues. Scientific Awards Eino Jutikkala Grant awarded by the Finnish Academy of Science and Letters (2022) Research Projects and Activities Faisal contributes to major research initiatives including GenAI: Generation AI (funded by the Research Council of Finland) and Korpisaari 2785/31/2019 Neutral Host Pil (funded by Business Finland). He is an active participant in academic discourse, having engaged in 39 activities such as conference organization, peer review for journals like Digital Policy, Regulation and Governance, and invited talks on data protection. His role as a Certified Peer Reviewer by Elsevier underscores his commitment to scholarly rigor.
دانشیار
John Basl is an Associate Professor of Philosophy at Northeastern University and Associate Director of the Northeastern Ethics Institute, where he leads initiatives in AI and data ethics. He holds affiliate roles at Khoury College of Computer Science, the Institute for Experiential AI, and Harvard's Edmond and Lily Safra Center for Ethics. His research focuses on applied ethics, particularly in AI, machine learning, data ethics, and environmental ethics. He is the author of The Death of the Ethic of Life (Oxford UP) and has contributed to interdisciplinary projects on AI governance, including the NSF-funded AI & Data Ethics (AIDE) Graduate Training Program and the National Internet Observatory. His work explores ethical challenges posed by emerging technologies, such as moral obligations to AI systems, transparency in automated decision-making, and the ethical implications of autonomous vehicles. Basl’s research also engages with environmental ethics, addressing questions about species partiality, ecological justice, and the moral status of non-human entities. He actively collaborates with technologists, policymakers, and ethicists to ensure ethical considerations are integrated into technological development. His media engagements include talks on AI ethics at institutions like the University of Toronto and the Web Summit, and articles in outlets like Aeon Magazine. Current projects include grants focused on training the next generation of AI ethics scholars and analyzing the societal impacts of generative AI. Basl advocates for accessible, interdisciplinary approaches to ethics in technology, emphasizing practical solutions to real-world challenges.
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