جست‌وجوی استاد و پژوهشگر

Arvind Narayananمشاهده پروفایل

استاد

• AI Policy
• Societal Impact of Digital Technologies
• Fairness in Machine Learning
• +۶ مورد دیگر

Arvind Narayanan is a Professor of Computer Science at Princeton University and Director of the Center for Information Technology Policy (CITP). His research focuses on the societal impact of digital technologies, particularly artificial intelligence, with emphasis on policy implications, fairness, and privacy. He leads interdisciplinary efforts connecting technical research with real-world policy challenges. Dr. Narayanan earned his Ph.D. from the University of Texas, Austin in 2009. His academic journey has established him as a leading voice in the critical examination of AI systems and their societal consequences. Narayanan's research spans multiple domains where technology intersects with society. His work on AI includes critical analysis of AI capabilities versus marketing claims (AI Snake Oil), fairness in machine learning systems, and the reproducibility crisis in ML-based science. In privacy research, he led the Princeton Web Transparency and Accountability Project which uncovered how companies track users online, developing the OpenWPM tool used in over 100 studies. His early work demonstrated fundamental limits of de-identification techniques and how machine learning reflects cultural stereotypes. His recent publications reveal a consistent focus on demystifying AI capabilities while identifying genuine opportunities and risks. Narayanan's work bridges technical computer science with policy relevance, emphasizing the importance of evidence-based approaches to AI governance. His research increasingly addresses the limitations of prediction systems, the challenges of evaluating AI systems, and the need for transparency in foundation models. Presidential Early Career Award for Scientists and Engineers (PECASE) Privacy Enhancing Technologies Award (twice recipient) Privacy Papers for Policy Makers Award (three-time recipient) TIME's inaugural list of 100 most influential people in AI 2025 Graduate Mentoring Award Narayanan is recognized as an exceptional mentor, receiving Princeton's Graduate Mentoring Award in 2025. His policy engagement extends to congressional testimony, advisory roles, and frequent media commentary. He has secured significant research funding supporting his work on web transparency, AI policy, and cryptocurrency analysis. His research group has produced influential tools like OpenWPM for web privacy studies and contributed to foundational textbooks on cryptocurrencies and fairness in machine learning. At Princeton, Narayanan leads the Web Transparency and Accountability Project, a major research initiative that has conducted large-scale measurements of online tracking across millions of websites. He also co-founded and directs the CITP's AI Policy Initiative, which brings together researchers from multiple disciplines to address pressing AI governance questions. His work frequently involves collaboration with social scientists, legal scholars, and policymakers to develop practical solutions to technology governance challenges.

Elena Simperlمشاهده پروفایل

استاد

• Human-centric AI
• Knowledge Graphs
• Knowledge Engineering
• +۷ مورد دیگر

Elena Simperl is a Professor of Computer Science and Deputy Head of Department for Enterprise and Engagement at King's College London's Department of Informatics. She co-directs the King's Institute for Artificial Intelligence and serves as Director of Research for the Open Data Institute. As a Hans Fischer Senior Fellow at the Technical University of Munich's Institute for Advanced Study, she leads the Trustworthy Knowledge Graphs focus group and contributes to advancing human-centric AI research across European institutions. Professor Simperl obtained her doctoral degree in Computer Science from the Free University of Berlin and her diploma from the Technical University of Munich. Prior to joining King's, she held academic positions in Germany, Austria, and at the University of Southampton, and was a Turing Fellow. Her career trajectory demonstrates consistent leadership in bridging academic research with practical applications in data ecosystems. Her research sits at the critical intersection of AI and social computing, focusing on human-centric approaches to building sociotechnical systems that integrate data, algorithms, and human capabilities. She investigates how to make knowledge engineering more accessible, how to leverage collective intelligence for data quality improvement, and how to design participatory AI systems that address societal challenges like misinformation. Her work spans knowledge graphs, semantic technologies, crowdsourcing, and open data, with particular emphasis on the social dimensions of data-intensive systems and the governance frameworks needed for trustworthy AI deployment. Analysis of her recent publications reveals a strong evolution toward integrating large language models with traditional knowledge engineering practices while maintaining human oversight. There's a clear trajectory from foundational work on knowledge representation toward increasingly applied research addressing real-world challenges in media ecosystems, citizen science, and data governance, with growing attention to policy implications of AI technologies. Fellow of the British Computer Society Fellow of the Royal Society of Arts Hans Fischer Senior Fellow at TUM-IAS (2023) Ranked among top 100 most influential scholars in knowledge engineering of the last decade Included in Women in AI 2000 ranking Professor Simperl has led 14 major European and national research projects totaling millions in funding, including MediaFutures (a Horizon 2020 program tackling online misinformation), QROWD, ODINE, Data Pitch, and ACTION. She currently co-chairs the Croissant working group in ML Commons developing data standards for AI, and serves as president of the Semantic Web Science Association. Her research has directly influenced the development of data ecosystems supporting startups and citizen science initiatives across Europe, demonstrating exceptional ability to translate theoretical advances into practical impact. As Director of Research at the Open Data Institute, she oversees initiatives connecting data entrepreneurs with artists and civic organizations. Her leadership in the MediaFutures project established a data-driven innovation hub that supported 51 startups/SMEs and 43 artists through three open calls, creating a sustainable model for arts-technology collaborations addressing media challenges. Her work with the ODINE project helped create a European ecosystem for data-driven startups, demonstrating her commitment to building practical applications of open data principles.

Noman Mohammedمشاهده پروفایل

دانشیار

• Data Security
• Privacy-Preserving Techniques
• Healthcare Data Privacy
• +۷ مورد دیگر

Noman Mohammed is an Associate Professor of Computer Science at the University of Manitoba’s Faculty of Science, leading the Data Security & Privacy (DSP) laboratory. He specializes in privacy-preserving techniques for data sharing, addressing challenges in healthcare, genomic, and financial data. In 2020, he received the Terry G. Falconer Memorial Rh Institute Foundation Emerging Researcher Award for his contributions to bridging privacy and data utility gaps. His research focuses on balancing data accessibility and individual privacy through technical solutions like federated learning, differential privacy, and secure genomic data processing. He emphasizes integrating policy guidelines with advanced technologies to mitigate privacy risks from interconnected data sources. Notable achievements include developing toolkits for data anonymization and federated learning frameworks, as well as advancing methods to secure cloud-based data storage and analysis. His work aligns with societal needs for robust privacy mechanisms in an era of expanding personal data collection. Future objectives involve addressing privacy challenges in emerging technologies, such as heterogeneous data integration and scalable systems for personal data management. Despite his research focus, he notably avoids social media platforms.

Babett Lobingerمشاهده پروفایل

پژوهشگر

• Performance Psychology
• Sport Psychology
• Motor Control Disorders
• +۳ مورد دیگر

Babett Lobinger is a Researcher at the Institute of Psychology at the German Sport University Cologne, specializing in Performance Psychology and Applied Sport Psychology. She holds academic qualifications including Dipl.-Psych., MA Sportwiss, and Dr. in Sport Sciences. Her research focuses on Performance Psychology , Motor Control Disorders (e.g., Yips in Golf), Movement Safety in Aging , and Coaching Psychology . She has collaborated with organizations like the DFB (German Football Association) and clubs like Arminia Bielefeld and 1.FC Köln, providing sport psychological consulting and research. Key Projects include: DFG-funded studies on Yips in Golf Cross-cultural training needs analysis for football coaches Development of the Athlete Competency Questionnaire for Employability (ACQE) She teaches in the German Football Association’s (DFB) coaching academy and contributes to sport psychology curricula for trainers. Her work appears in journals like InMind and conferences such as FEPSAC.

Cristian Danescu-Niculescu-Mizilمشاهده پروفایل

دانشیار

• Computational Social Science
• Data Science
• Natural Language Processing
• +۴ مورد دیگر

Cristian Danescu-Niculescu-Mizil is an Associate Professor at the Department of Information Science , Cornell University . His research focuses on computational frameworks for social behavior analysis through large-scale natural language data , particularly in online communities and crisis counseling contexts. Recipient of WWW Best Paper Award (2013) and Yahoo! Key Scientific Challenges Award Co-developer of ConvoKit , a comprehensive conversational analysis toolkit Principal investigator in NLP for mental health , antisocial behavior detection , and linguistic coordination studies His work spans computational social science and human-centered AI , with recent publications in EMNLP 2025 , ACL 2025 , and CSCW 2025 focusing on conversation dynamics modeling , pivotal moment detection , and talk-time equity analysis . He has advised multiple PhD students who became faculty at Harvey Mudd , University of Michigan , and Thompson Reuters . Key scientific contributions : 2013 : WWW Best Paper - Power dynamics through linguistic coordination 2016 : IJCAI NLP & Journalism Best Paper - Gender bias quantification 2017 : ICWSM Best Paper - Trolling behavior analysis He teaches NLP and Social Interaction (INFO/CS 6742) and Language and Information (INFO/CS 4300) , with teaching resources including the Politeness Web App and ConvoWizard interactive tool featured in NPR's Weekend Edition . His work has been covered by New Scientist , NBC Today Show , and New York Times .

Laurie Fordمشاهده پروفایل

دانشیار

• Family-School-Community Partnerships and Relationships
• Early Childhood Mental Health
• Assessment with Young Children
• +۷ مورد دیگر

Laurie Ford is an Associate Professor at the University of British Columbia , affiliated with the Faculty of Education and the Department of Educational and Counselling Psychology, and Special Education . She serves as the SACP Admissions Coordinator , Director of Training , and Director of Early Childhood Education . Her work bridges Child and Adolescent Development with Family-School-Community Partnerships , emphasizing culturally responsive practices. Dr. Ford’s research focuses on Early Childhood Assessment , Multi-disciplinary Teams , and Supporting Vulnerable Populations , including immigrants, refugees, and children with chronic health conditions like IBD. She leads the Children, Families, and Communities Lab , where students explore topics such as Cognitive Assessment , Family Engagement , and Community-level Child Development . Her recent publications analyze psychometric tools in diverse populations, assessment feedback communication, and community factors influencing child development. She has presented nationally and internationally on topics like Indigenous Family Engagement and School Belonging for Refugee Students . Dr. Ford has supervised over 75 graduate theses and collaborates with global institutions, including the University of Melbourne on the KIDS in Communities Study (KICS) . Current projects examine school belonging for immigrant/refugee families , supporting children with inflammatory bowel disease , and cross-national assessment norms . She advocates for collaborative approaches to address Early Childhood Mental Health and Multi-cultural Considerations in educational environments.

Shawn Gomezمشاهده پروفایل

استاد

• Systems Biology
• Network Pharmacology
• Translational AI
• +۷ مورد دیگر

Dr. Shawn Gomez is a Professor in the Lampe Joint Department of Biomedical Engineering at UNC-Chapel Hill and North Carolina State University and in the Department of Pharmacology at UNC-Chapel Hill. He serves as the Executive Director of FastTraCS, a component of the NC TraCS Institute funded through the NIH CTSA Program, and is a UNC Lineberger Comprehensive Cancer Center member. His educational background includes a PhD in Biomedical Engineering from Columbia University (1999), an MS in Aerospace Engineering Sciences from the University of Colorado, Boulder (1993), and a BS in Aerospace Engineering Sciences from the same institution (1990). He completed postdoctoral training in Bioinformatics and Computational Biology at the Judith P. Sulzberger Columbia Genome Center and Institut Pasteur in Paris. Dr. Gomez's research spans systems biology , network pharmacology , and translational AI , with a focus on understanding cell signaling architecture in human disease. His lab develops computational approaches for network pharmacology and targeted cancer therapies, along with machine learning methodologies to address clinical needs and enhance clinical decision making. The research integrates computational modeling with experimental approaches to improve diagnostic and therapeutic interventions. His recent publications reveal a strong focus on kinome research, particularly in pancreatic cancer and understudied kinases, with increasing integration of machine learning techniques for predicting clinical outcomes and kinase-substrate relationships. The work spans from fundamental systems biology to translational applications in cancer therapeutics and surgical outcomes prediction. Scientific Awards: Leadership Advanced Program, UNC-Chapel Hill 2017 Chancellor's Entrepreneurship Boot Camp 2015 ACCLAIM Scholar (Academic Career Leadership Academy in Medicine) 2013-2014 UNC Research Council Award 2011 Carl Storm URM Fellowship 2008 UNC Junior Faculty Development Award 2006 Florence Gould Scholar 2005 Pasteur Foundation Fellow 2002-2005 Dr. Gomez directs the Gomez Lab, which focuses on systems biology, network pharmacology, and translational AI. The lab maintains several key resources including Darkkinome.org, FAAS, and IAS servers for kinome research. His work bridges computational biology with clinical applications, particularly in cancer therapeutics and surgical outcomes prediction through machine learning approaches.

• Sustainable Transportation Systems
• Shared Mobility
• Public Transit Planning
• +۷ مورد دیگر

Dr. XiaoYue Cathy Liu is an Associate Professor in the Department of Civil & Environmental Engineering at the University of Utah. She holds a PhD in Transportation Engineering from the University of Washington and advanced degrees in Transportation Planning and Electronics Engineering. Her research focuses on sustainable transportation systems, shared mobility, public transit optimization, managed lanes, and intelligent transportation systems. She actively serves on committees including the Transportation Research Board's Highway Capacity Quality of Service (HCQS) Committee and chairs its Technology Transfer Subcommittee. She also advises the Utah Model Advisory Committee and previously served on Salt Lake City’s Transportation Advisory Board. Dr. Liu is a licensed professional engineer in Utah. Education: PhD, Transportation Engineering, University of Washington (2013) MA, Transportation Planning & Management, Texas Southern University BS, Electronics & Electrical Engineering, Beijing Jiaotong University Graduate Certificate, Global Trade & Logistics, University of Washington (2011) Research Interests: Electric vehicle infrastructure and charging networks Smart transportation systems and agent-based modeling GIS-based asset management for transportation infrastructure Snowplowing operations optimization and winter maintenance Managed lanes and high-occupancy toll (HOT) lane analysis Public transit equity and accessibility Her recent publications emphasize data-driven approaches to transportation challenges, including EV demand forecasting, drone delivery networks, and resilience in interdependent transit systems. She collaborates on projects addressing Utah’s unique transportation needs, such as optimizing snowplow routes and integrating renewable energy into public transport systems. Professional Contributions: Board member, Utah Model Advisory Committee Former Chair, Salt Lake City Transportation Advisory Board (2013-2016) TRB Managed Lane Committee member TRB Transit Capacity & Quality of Service (TCQS) Committee member (2016-2019) Dr. Liu’s work bridges transportation engineering with computational methods, focusing on equity, sustainability, and operational efficiency. She leads research initiatives involving large-scale modeling, geospatial analytics, and interdisciplinary solutions for modern mobility challenges.

Danielle Butlerمشاهده پروفایل

پژوهشگر ارشد

• Primary Health Care
• Health Services Research
• Linked Administrative Health Data Analysis
• +۵ مورد دیگر

Danielle Butler is a Visiting Fellow at the National Centre for Epidemiology and Population Health, Australian National University, and a part-time General Practitioner/Researcher at the Institute of Urban Indigenous Health. With 20+ years clinical experience and a PhD (2018), her work focuses on healthcare access equity for underserved populations through linked data analysis, mixed-methods research, and telehealth evaluation. Current projects: Enhancing Safe Telehealth , Patient-Centered Medical Homes , Primary Care Data Linkage Key collaborations: ANU, IUIH, Australian Institute of Health and Welfare Her research combines multilevel modeling of administrative data with participatory action research to evaluate primary care innovations. Recent work examines telehealth impacts , out-of-pocket costs , and Aboriginal health service models . Publications span BMJ Open , BMC Health Services Research , and Health Policy , with emphasis on systematic reviews , linked data methodology , and health equity metrics . Research fingerprint shows dominant themes: Primary Health Care (100%), Aboriginal and Torres Strait Islander Health (66%), Health Services Research (49%), and Telehealth (100%).

Leid Zejnilovicمشاهده پروفایل

استادیار

• Technology and Innovation Management
• Human-Computer Interaction
• Machine Learning
• +۳ مورد دیگر

Leid Zejnilovic is an Assistant Professor at Nova School of Business and Economics (Nova SBE), where he co-founded the Data Science Knowledge Center and serves as Academic Director, and co-founded the Open and User Innovation Knowledge Center as Scientific Deputy Director. He also co-founded the Patient Innovation platform, enabling patients and caregivers to share self-made healthcare solutions. With a double PhD from Carnegie Mellon University and Católica-Lisbon School of Business and Economics, his career spans over 20 years of international consulting, academic entrepreneurship, and teaching at institutions like Imperial College Business School and Ludwig Boltzmann Institute. PhD in Strategy, Entrepreneurship and Technological Change (Carnegie Mellon University / Catholic University of Portugal, 2014) Master in Engineering and Public Policy (Carnegie Mellon University, 2012) Master in Information Technology (Dzemal Bijedic University, 2007) Bachelor in Telecommunications (University of Sarajevo, 2002) His research focuses on Technology and Innovation Management, Human-Computer Interaction, and data-driven solutions across healthcare, tourism, and education. He has published extensively in journals like California Management Review , PLoS ONE , and Marine Policy , with recent work analyzing big data in tourism, machine learning for oral health, and pandemic impacts on fisheries. As an Associate Editor for Data & Policy Journal , his contributions bridge academic research and real-world applications. Co-founding the Data Science for Social Good Foundation and leading over 100 talks in industry and academia, Zejnilovic's career emphasizes translating innovation into social and economic impact through platforms, policy, and education.

• Global Health
• Health Systems
• Health Equity
• +۷ مورد دیگر

Afsan Bhadelia, PhD, MS is an Assistant Professor in the Department of Public Health at Purdue University, where she teaches PUBH 240 – Global Health . Her nearly two decades of global-health scholarship focus on health-systems analysis, equity-oriented priority-setting, and the integration of palliative care for chronic diseases, notably cancer. Education: PhD – Johns Hopkins University MS – Tufts University BS – Tufts University Research Interests: Dr. Bhadelia’s transdisciplinary programme sits at the intersection of public health, complexity science, ethics, economics, and policy . She develops novel methodologies and metrics to illuminate social and structural determinants of health—using cancer and palliative care as tracer conditions—and embeds a gender-justice lens throughout. Her overarching goal is citizen-driven priority-setting that aligns health-system investments with societal values. Awards & Recognition: Fulbright U.S. Scholar (2021) Gordis Teaching Fellowship, Johns Hopkins Bloomberg School of Public Health (2015) Young Cancer Leader, Union for International Cancer Control (2015) Presidential Award for Citizenship and Public Service, Tufts University (2006) Research Trajectory & Impact: Bhadelia’s prolific publication record (46+ papers) charts a clear arc from quantifying the global burden of serious health-related suffering to crafting ethically-grounded, policy-ready solutions. Recurring themes include opioid-access equity, racism and casteism in pain relief, and integration of palliative care into universal health coverage. Her 2025 updates to the Lancet Commission, alongside multiple WHO-aligned metrics papers, position her work at the forefront of global palliative-care science. Community-Engaged Scholarship & Teaching: Emphasising community-partnered research, she mentors students in community-engaged methods and co-develops curricula that blend complexity thinking with real-world policy challenges. Through Purdue’s signature research areas— Developmental Health & Wellness, Healthy Lifestyles & Vital Longevity, Sustainable Organizations & Thriving Communities —her lab collaborates across disciplines to ensure research uptake by policymakers and practitioners.

Kristian J. Hammondمشاهده پروفایل

استاد

• Artificial Intelligence
• Natural Language Generation
• Narrative Generation
• +۷ مورد دیگر

Kristian J. Hammond is the Bill and Cathy Osborn Professor of Computer Science at Northwestern University's McCormick School of Engineering. He directs both the Master of Science in Artificial Intelligence Program and the Center for Advancing Safety of Machine Intelligence (CASMI). His research focuses on artificial intelligence, natural language generation, narrative generation, conversational interfaces, and ethical AI applications across domains like law, education, and journalism. Hammond co-founded Narrative Science, leveraging AI for automated journalism from data. Education: PhD, MS, and BA in Philosophy (all from Yale University). His work spans technical innovation and societal impact, with notable contributions to AI transparency, bias mitigation, and machine learning ethics. Hammond has authored influential articles on AI governance, conversational systems, and the future of work in an automated economy. His leadership roles emphasize interdisciplinary collaboration between computer science, business, and humanities. Research highlights include developing AI systems that enhance human capabilities, exploring ethical frameworks for machine intelligence, and advancing AI safety through initiatives like CASMI. He frequently engages in public discourse via TEDx talks and commentaries on AI's societal implications, emphasizing the need for human-centered technology design.

Daniel Catchpooleمشاهده پروفایل

استاد

• Childhood Cancer Research
• Genomics
• Biomedical Data Science
• +۶ مورد دیگر

Professor Daniel Catchpoole serves as Deputy Head of School (Research) at the School of Computer Science, University of Technology Sydney (UTS), holding dual appointments at UTS and The Children's Hospital at Westmead. With over 20 years of research experience, he bridges computational sciences and pediatric cancer research through the Biomedical Data Science Lab in the Australian Artificial Intelligence Institute. His work integrates data analytics, artificial intelligence, and software development with molecular cancer biology to transform pediatric cancer treatment pathways. PhD in Cancer Cell Biology, University of New South Wales (1991-1995) Founding Fellow, Royal College of Pathologists Australasia (2010-present) Head, Children's Hospital at Westmead Tumour Bank (2001-present) Professor Catchpoole's research focuses on translational applications of genomics in childhood cancers, particularly acute lymphoblastic leukemia and neuroblastoma. His work combines high-throughput genomic technologies with advanced computational analysis to develop systems biology approaches for cancer patient assessment. Recent projects explore virtual reality applications for complex genomic data visualization and copper chelation therapies to enhance neuroblastoma immunotherapy. His research has received significant funding from Cancer Institute NSW, Sony Foundation, ARC, and NHMRC. His publication record spans biomedical data science, cancer genomics, and virtual reality applications in oncology. Recent work demonstrates leadership in 3D latent diffusion models for tumor segmentation, biobank economics, and innovative immunotherapies. His research consistently addresses the critical need for actionable knowledge from complex multidimensional biomedical data. Editorial Board Member, Cancers (2023) Associate Editor, Innovations in Digital Health, Diagnostics and Biomarkers (2019) Founding member and first President, Australasian Biospecimens Network Association Professor Catchpoole has supervised 17 Honours students (including 6 First Class Honours), 3 MSc students, and 12 PhD candidates across multiple institutions, with 6 current PhD students. His collaborative research bridges UTS's Faculty of Engineering and IT with The Children's Cancer Research Unit at The Children's Hospital at Westmead. Significant research funding includes Cancer Institute NSW grants, Sony Foundation VR projects, and ARC Discovery Projects focused on genomic data analysis and clinical decision support systems. His leadership extends to building frameworks for translational research, managing biobanks and clinical data linkages, and navigating governance requirements for cancer research. The Tumour Bank at Kids Research, CCRU, represents his long-standing commitment to pediatric cancer infrastructure development.

• Environmental Chemistry
• Contaminant Fate and Transport
• PFAS Research
• +۳ مورد دیگر

Christopher P. Higgins serves as Professor and AMAX Distinguished Chair in the Department of Civil and Environmental Engineering at the Colorado School of Mines, a position he attained in 2025 following his 2022 designation as University Distinguished Professor. Joining Mines in 2009, he leads critical research on environmental contaminants with emphasis on poly- and perfluoroalkyl substances (PFASs) in natural and engineered systems. His educational foundation includes: PhD in Civil and Environmental Engineering from Stanford University (2007) MS in Civil and Environmental Engineering from Stanford University (2002) AB in Chemistry from Harvard University (1998) Dr. Higgins' research program investigates chemical fate and transport mechanisms, particularly PFAS movement through soils and water, human exposure pathways, and remediation technologies. His work integrates field studies, laboratory experiments, and mathematical modeling to address: PFAS leaching dynamics in vadose zones Advanced treatment methods for contaminated media Exposure assessment via water, food, and indoor environments Environmental risk characterization at contaminated sites His recent publications demonstrate increasing focus on analytical method development, source identification, and destruction technologies for ultrashort-chain PFAS compounds. Notable recognitions include: ASCE Huber Prize for Civil Engineering Research (2019) SERDP Environmental Restoration Project of the Year (2020) Honorary Professorship at The University of Queensland, Australia His research program has secured substantial funding from NSF, NIH, EPA, USDA, and DoD, supporting interdisciplinary collaborations and graduate student mentorship. Current initiatives emphasize translating laboratory findings to field applications through partnerships with regulatory agencies and industry stakeholders. Dr. Higgins directs the Center for Environmental Risk Assessment and co-leads the PFAS@Mines Initiative, which coordinates campus-wide research on PFAS contamination through integrated experimental, computational, and policy-focused approaches.

Nidhi Singalمشاهده پروفایل

استاد

• Disability and Inclusive Education
• Educational Equity in Southern Contexts
• Qualitative Research Methodology
• +۳ مورد دیگر

Nidhi Singal serves as Professor of Disability and Inclusive Education at the University of Cambridge's Faculty of Education and holds the position of Vice President at Hughes Hall. Her academic leadership extends to roles as Trustee of the Cambridge Trust and UKFIET, alongside significant contributions to global education initiatives through the World Bank, UNESCO, and UNPRPD. Her educational background includes a PhD and MPhil from the University of Cambridge, complemented by an M.A. and B.A. (Honours) in Applied Psychology from the University of Delhi. This clinical psychology foundation informs her distinctive approach to educational research. Singal's research centers on educational equity for marginalized groups in Southern contexts, with particular emphasis on children with disabilities in South Asia and Africa. She pioneers culturally-sensitive methodological frameworks that challenge power imbalances in North-South research partnerships and prioritize ethical knowledge dissemination. Her work critically examines classroom teaching quality, schooling impacts, and the complex interplay between disability, poverty, and development. Analysis of her recent publications reveals consistent focus on inclusive education measurement (2024), pandemic impacts on disabled learners (2021-2022), and Southern perspectives on disability-inclusive schooling. Her scholarship bridges rigorous academic research with actionable policy development, evident in her leadership of the Global Disability Summit's International Statement of Action. Fellow of the Academy of Social Sciences (2022) President of the British Association for International and Comparative Education Technical Advisory Council member for World Bank's Inclusive Education Initiative Contributor to UNESCO's Foundations of Disability-Inclusive Education Sector Planning Course Singal mentors a vibrant cohort of postgraduate researchers through the Cambridge Network for Disability and Education Research (CaNDER) and South Asian Approaches to Researching Education (SaareNetwork). Her grant portfolio demonstrates exceptional partnership with international agencies including the World Bank, UNESCO, and MasterCard Foundation, focusing on projects like the Girls Education Challenge Fund evaluation and Ethiopia's Inclusive Education Resource Centres. Current initiatives explore teacher effectiveness in African secondary schools and disability-inclusive education during humanitarian crises. Her research infrastructure includes CaNDER, which connects Global South stakeholders to advance disability-inclusive education scholarship, and active collaboration with international networks like UKFIET and UNPRPD to shape policy frameworks that center lived experiences of disabled learners.