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Dr. Shivanjali Khare is an Assistant Professor in the Computer Science department at the University of New Haven, affiliated with the Tagliatela College of Engineering. She leads the SARI (Security and ARtificial Intelligence) Research Lab and teaches courses in Artificial Intelligence and Data Mining. Her research focuses on enhancing cybersecurity through hybrid cryptography, IoT data security, machine learning, and wireless sensor technologies to empower user protection in the digital age. Education: Ph.D. and M.S. in Computer Science from the University of Louisiana at Lafayette (2021 and 2016, respectively). Research Interests: IoT Data Security Hybrid Cryptography Systems Wireless Sensor Networks Big Data Sharing Mechanisms AI-Driven Cybersecurity Solutions Publications highlight contributions in IoT security protocols, cryptographic algorithm optimization, and machine learning applications. Notable work includes energy-efficient secure IoT drone systems (ESIoD) and ensemble learning for anomaly detection in smart homes. Recent outreach includes conducting cybersecurity seminars for senior citizens through the New Haven Free Public Library, demonstrating her commitment to societal impact and public education.

• Internet of Things (IoT) Data Security
• Hybrid Cryptography
• Wireless Sensor Technologies
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Dr. Anne-Marie Sassenberg is a Senior Lecturer in Marketing at the University of Southern Queensland's School of Business. She holds a BCom (1984, Pretoria), MCom (2001, Pretoria), and PhD (2015, USQ). Her research focuses on Customer Experience, Digital Marketing, and Brand Strategy. Her work spans academic journals such as Journal of Theoretical and Applied Electronic Commerce Research , Journal of Global Sport Management , and Management Review Quarterly . Key areas include recommender systems, blockchain adoption in agriculture, and nursing leadership's business acumen. She has supervised doctoral and master’s theses on topics like event legacies, cross-cultural advertising, and blockchain in supply chains. Her awarded grants and partnerships emphasize sustainability and stakeholder integration. She contributes to textbooks on integrated marketing communications and serves on editorial boards.

• Marketing Communications
• Marketing Management
• Digital Marketing
• +3 more

Elvira Crois is an Assistant Professor and postdoctoral researcher at the Brussels Research Centre on Innovation in Learning and Diversity (BILD) at Vrije Universiteit Brussel. Her interdisciplinary research focuses on participatory arts, climate education, and worldmaking processes for social change. She coordinates the Erasmus+ project 'Codename Seedling', exploring youth-led climate activism through arts. Her work bridges education, performance studies, and environmental advocacy. Elvira holds a joint PhD from the University of Antwerp (Theatre and Intermedia) and Vrije Universiteit Brussel (Adult Educational Sciences). Her doctoral thesis examined performer training in participatory theatre, using second-person ethnography to analyze audience-performer dynamics. She also leads the 'Worldmaking' community of practice, fostering collaborations between arts educators and social justice practitioners. Her research interests include climate justice pedagogy, participatory methodologies, and the role of creativity in youth activism. She has coordinated EU-funded projects across Belgium, Denmark, the UK, Portugal, and France, emphasizing arts-based advocacy tools and impact-driven strategies. Key Projects: Codename Seedling (Climate Justice), Wave Makers (Youth & Ocean Health) Grants: Erasmus+ KA2, Erasmus+ Youth in Action Professional Roles: Erasmus+ Project Assessor, Apaya Network Member Elvira’s work extends to public engagement through comics (e.g., 'Cave Comic') and innovative educational resources. She advocates for 'slow science' approaches to counter academic pressures, emphasizing collaborative and reflective research practices.

• Climate Education
• Participatory Arts
• Social Change through Education
• +4 more

Dr. Ninghao Liu is an Assistant Professor of Computer Science in the School of Computing at the University of Georgia, part of the Franklin College of Arts & Sciences - Division of Physical & Mathematical Sciences. He holds a Ph.D. in Computer Science from Texas A&M University (2021) and an M.S. in Electrical and Computer Engineering from Georgia Institute of Technology (2015). His research focuses on Explainable AI (XAI), Graph Mining, Model Fairness, Recommender Systems, and Outlier Detection, with notable contributions to foundational AI techniques and their applications in education, healthcare, and environmental sciences. Dr. Liu has secured significant funding, including a three-year NSF grant (2022–2025) for 'Graph-Oriented Usable Interpretation' and a five-year $10 million grant from the U.S. Department of Education (2024–2029) for the GenAI Empowered National Initiative for STEM+C Education. He has also been honored with the Outstanding Paper Award at ICML 2022, Best Paper Award Shortlist at WWW 2019, and other distinctions. His work emphasizes interpretable machine learning, graph neural networks, and addressing algorithmic bias. He collaborates across disciplines, contributing to radiology AI, climate-smart forestry, and pandemic prediction through knowledge-enhanced deep learning. His lab is based at the Boyd Research and Education Center, where he advances research in trustworthy AI systems and data-centric solutions.

• Artificial Intelligence
• Machine Learning
• Explainable AI (XAI)
• +6 more

Prof. Kern Alexander is a Chaired Full Professor of International Banking and Financial Law at the University of Zurich's Faculty of Law, leading the Chair for Law and Finance. He serves as Director of the University of Zurich Competence Center for Sustainability: Finance, Law, Science, and the Humanities, coordinating interdisciplinary research on sustainability. He is also Co-Director of the Oxford Bank Governance Programme at the Saïd Business School, University of Oxford, addressing strategic and regulatory challenges in global banking. His research focuses on sustainable finance, banking regulation, climate change, and financial stability, with a particular emphasis on integrating environmental and social considerations into financial systems. Awarded roles include advising the G20 on Green Banking Policy and contributing to UN initiatives on Basel III reforms. He frequently presents at international forums, including keynotes at the University of Madrid Carlos III and UK House of Lords, and publishes extensively on topics like digital finance, ESG investments, and central bank mandates. His work bridges academia and practice, influencing policy through reports such as 'Stability and Sustainability in Banking Reform' and advising institutions like UBS on sustainable finance preferences. He leads the Research Network for Sustainable Finance (SUSFIN), fostering collaboration among universities, policymakers, and industry. His research spans macro-prudential regulation, risk culture in financial services, and the intersection of law, innovation, and finance. He has advised the European Parliament on financial services legislation and contributed to UNCTAD conferences on digital financial services and trade.

• International Financial Law
• Banking Regulation
• Sustainable Finance
• +3 more

Brent Sellers is a Professor and Center Director at the Range Cattle Research and Education Center (RCREC), part of the University of Florida's Institute of Food and Agricultural Sciences (UF/IFAS). His primary affiliation is with the Agronomy Department, focusing on pasture and rangeland weed management. His work integrates herbicide efficacy studies, invasive species control, and sustainable forage systems. Administration: 50% of role involves center leadership and research coordination Research: 25% dedicated to agronomic and weed science innovations Extension: 25% focuses on translating research into practical guidelines for farmers Research Interests: Sellers specializes in herbicide application strategies, weed-crop interactions, and integrated pest management (IPM). Key areas include smutgrass control, cogongrass management, and the use of drones for precision agriculture. His work addresses both economic and ecological challenges in Florida's grazing lands and citrus systems. Publications: Over 100 refereed journal articles and extension bulletins highlight his contributions to understanding herbicide tolerance in crops, invasive plant biology, and sustainable forage practices. Recent work emphasizes drone-based weed mapping and soil pH effects on plant competition. Awards: No specific prizes are listed, but his impactful research has shaped Florida's agricultural policies and practices. Labs/Teams: Leads the RCREC Weed Science Unit, collaborating with UF/IFAS Extension specialists to develop regionally applicable solutions for pasture and citrus weed challenges.

• Agronomy
• Weed Management
• Pasture and Rangeland Ecology
• +3 more

Dr. Nai-Ching Chi is a tenured Associate Professor at the University of Iowa College of Nursing. She is a nurse scientist and informaticist conducting pioneering research at the intersection of data science, technology, and health, focusing on dementia care, multimorbidity management, pain management, family caregiving, and healthy aging. PhD in Biobehavioral Nursing and Health Informatics (University of Washington) MS in Clinical Informatics and Patient-Centered Technologies (University of Washington) MSN (University of California, San Francisco) BSN (Tzu Chi University, Taiwan) Dr. Chi's research integrates advanced data science and AI to develop digital interventions for vulnerable populations. Notable projects include the PACE-app for dementia caregiver pain management, AI-powered nursing communication tools, and NIH-funded studies on multimorbidity patterns in Alzheimer's patients. Her work informs clinical guidelines and leverages predictive modeling for early risk detection. Recent publications focus on AI-driven pain assessment, machine learning in multimorbidity analysis, usability of caregiving apps, and rural age-friendly ecosystems. Her work spans comorbidity indices, geriatric pain, and health informatics innovations. National Academy of Medicine Emerging Leader Forum nomination NIA Butler-Williams Scholar NIA Aging Initiative MCCs Scholar Hospice and Palliative Nurses Association Emerging Leader Award Dr. Chi mentors students in aging research and technology-driven healthcare. She serves on editorial boards, grant review panels, and university committees, while volunteering in nursing homes and international medical missions.

• Data Science
• Health Technology
• Dementia Care
• +4 more

May Britt Drugli is a Professor at the Regional Centre for Child and Youth Mental Health and Child Welfare, affiliated with NTNU's Faculty of Medicine and Health Sciences and Department of Mental Health. Her research focuses on early childhood care, student-teacher relationships, child mental health, and intervention research. She has contributed to numerous publications addressing childcare quality, child well-being, and developmental outcomes. Her work includes studies on cortisol levels in toddlers in childcare, the impact of professional development programs like 'Thrive by Three,' and the importance of play-based learning in educational policies. She frequently collaborates with educators and policymakers to translate research into practical pedagogical strategies. Key areas of exploration include transition processes for young children entering childcare, the role of teacher-child interactions, and addressing socioeconomic disparities in early education. Her research emphasizes evidence-based practices to enhance child development and mental health.

• Early Childhood Care
• Student-Teacher Relationships
• Child Mental Health
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Richard Wood is an Adjunct Professor at the Industrial Ecology Programme, Department of Energy and Process Engineering, Norwegian University of Science and Technology (NTNU), and a part-time Professor at the School of Environment, University of Newcastle, Australia. He leads research consultancy XIO-SA, focusing on environmental-economic analysis for public good. His expertise includes sustainability science, systems approaches, and quantitative modeling techniques like carbon footprinting, life-cycle assessment, and input-output analysis. **Research Interests**: Globalization and environmental impacts of trade Sustainable consumption and production Circular economy and material efficiency Environmental footprints and policy design EXIOBASE multi-regional input-output modeling **Awards**: Recognized as a Web of Science Highly Cited Researcher (2019–2022), and Co-Editor in Chief of the Journal of Industrial Ecology. His work has produced over 100 publications, including foundational contributions to EXIOBASE, a global environmental input-output database. **Grants & Labs**: Key developer of EXIOBASE, widely used for environmental footprint quantification. Advises on methodologies for consumption-based carbon accounting and sustainable investment strategies. Active in global policy initiatives addressing climate change and biodiversity loss.

• Sustainability Science
• Industrial Ecology
• Environmental Economics
• +7 more

Robert Prey is an Assistant Professor at the University of Groningen's Faculty of Arts, affiliated with the Center for Media and Journalism Studies. He holds a PhD from Simon Fraser University (2015) focusing on the political economy of music streaming. His research examines technology's intersection with culture, emphasizing platformization, datafication, and the music industry's transformation through streaming platforms. Prey leads the ERC-funded 'PlatforMuse' project (2023–2028), exploring global platform impacts on artists. He also investigates South Korean music ecosystems via the 'Platform Performances' project (2020–2022). Education: PhD in Communication (Simon Fraser University, 2015) Key Research Areas: Cultural Industries, Digital Platforms, Music Streaming, Political Economy Teaching focuses on media theory, digital society, and cultural industries. Awards include the ERC Starting Grant (2022) and Dean of Graduate Studies Medal (2016). His work appears in International Journal of Cultural Studies , Big Data and Society , and Information Society .

• Communication Studies
• Cultural Studies
• Music Studies
• +6 more

Xiuzhen Jenny Zhang is a Professor of Data Science at RMIT University , affiliated with the School of Computing Technologies. Her research bridges artificial intelligence, machine learning, and social media analysis, with a focus on text mining and trustworthy data science. Her recent publications highlight expertise in point-of-interest recommendation , misinformation detection , multi-task learning , and transformer-based NLP . Key trends include applications of large language models for social good, fairness in recommendation systems , and adversarial learning for robustness. Best Paper Award at TrustCom’12 Best Short Paper Award at ADCS’2009 She leads the Text And LanguagE (TALE) research group and has supervised over 20 PhD students. Research grants include Australian Research Council and Victoria state government funding.

• Data Science
• Machine Learning
• Natural Language Processing
• +12 more

Renata Bilbokaitė is a Professor and Director of the Šiauliai Academy of Vilnius University, leading strategic initiatives in education and quality management. She holds academic appointments in the Institute of Education and oversees research in pedagogical practices, sustainable education, and STEAM integration. Bilbokaitė has extensive administrative experience, including roles as Vice-Rector and Director of Strategic Processes, and has managed EU-funded projects focusing on educational quality and international collaboration. Her work emphasizes teacher training, inclusive education, and policy reforms. She actively engages in media commentary on education challenges, teacher shortages, and youth well-being. Awards include recognition from the Lithuanian Parliament for contributions to education. Education: Music (2006), Master's in Education (2008), PhD in Social Sciences (2012), Master's in Economics (2019) Administrative Roles: Director of Vilnius University Šiauliai Academy (2020–present), Head of Quality Management (2013–2020) Key Projects: UNIQMAS (Quality Management), SOCNET (Joint Study Programs), HONOR (Public Sector Training) Research Interests: Strategic education management, STEAM pedagogy, music education, visualization in teaching, and policy-driven educational reforms. Her recent work addresses global competencies in leadership, sustainable teacher training, and crisis responses to pedagogical workforce shortages. Publications focus on educational leadership, global challenges in education, and inclusive practices. Media engagements often address national educational policy debates, emphasizing pragmatic solutions for systemic issues like teacher recruitment and youth development.

• Strategic Management in Education
• Quality Management in Educational Institutions
• Sustainable Education
• +4 more

Alister Scott is a Professor at Northumbria University in the Geography and Environmental Sciences Department , specializing in landscape and environmental planning. His work bridges the built and natural environments, focusing on multifunctional landscapes and policy integration. Education: PhD (awarded 1987) Research Themes: Landscape planning, ecosystem services, green/blue infrastructure, peri-urban dynamics, sustainability assessment, and policy translation. Collaborations: Active in UK-based and international projects, including EU PERFECT and ESRC-funded initiatives. Recent publications emphasize the role of cultural ecosystem services, participatory mapping in Green Belt areas, and reconciling urban growth with environmental protection. His work addresses the integration of nature-based solutions into planning systems and evaluates policy impacts on health, wellbeing, and biodiversity. Networks: Executive Member of the North East Nature Partnership (since 2016) Contributor to the UK National Ecosystem Assessment Follow-on projects

• Landscape Planning
• Environmental Policy
• Spatial Planning
• +3 more

Amanda Glasbeek is an Associate Professor of Criminology in the Department of Social Science at York University's Faculty of Liberal Arts & Professional Studies, with cross-appointments to graduate programs in Sociolegal Studies, Sociology, and Gender, Feminist, and Women's Studies. She is currently on sabbatical until June 30, 2025. Her academic leadership includes serving as Department Chair (2016-2019, 2022-2024), University Senator (2022-2024), and member of the LA&PS Academic Policy, Planning & Research Committee (2021-2024). Education includes: PhD in Women’s Studies, York University (2004) MA in Sociology, Carleton University (1992) BA (Hons) in Sociology, Trent University (1989) Her research explores feminist criminology through anti-carceral and surveillance lenses, with specific focus areas including: Gender/racial dimensions of surveillance technologies (CCTV, body-worn cameras) Police reform and abolition movements Visual culture in criminal justice systems Historical and contemporary intersections of law, gender, and power Her work critically examines how surveillance practices reproduce social inequalities while advocating for transformative justice frameworks. Publications consistently center on surveillance, gender, and power dynamics within criminological contexts. Recent works (2013-2022) demonstrate a strong trajectory analyzing body-worn cameras, racial/gendered visibility in policing, historical continuities in carceral systems, and feminist critiques of surveillance capitalism. Theoretical approaches blend sociolegal analysis, postcolonial theory, and visual methodologies.

• Feminist Criminology
• Surveillance Studies
• Anti-Carceral Studies
• +3 more

Jingbang Chen is a Research Assistant Professor at the School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen) and holds a joint faculty position at Shenzhen Loop Area Institute (SLAI) starting September 2025. His academic journey includes a Ph.D. from the University of Waterloo, an M.S. from Georgia Institute of Technology, and a B.Eng (Honors) from Zhejiang University under the supervision of Can Wang. Education: Ph.D., Computer Science, University of Waterloo (2023-2025) M.S., Computer Science, Georgia Institute of Technology (2020-2022) B.Eng. (Honors), Pursuit Science Class, Chu Kochen Honors College (Joint Program with College of Computer Science and Technology), Zhejiang University (2016-2020) High School, Guangzhou No.2 High School (2010-2016) Dr. Chen's research focuses on the design, analysis, and implementation of provably efficient algorithms and data structures, with a particular emphasis on graph theory. He is also exploring intersections between traditional algorithm design and artificial intelligence. His work bridges theoretical computer science with practical applications in network analysis, temporal data processing, and optimization. The publication record shows a strong trajectory with papers in top venues including ICML, VLDB, KDD, and theoretical computer science conferences. Scientific Contributions: Published in premier venues including ICML 2025, VLDB 2025, KDD 2024, and multiple theoretical conferences Research spans graph algorithms, optimization techniques, network analysis, and the emerging field of learning-augmented algorithms Active contributor to the competitive programming community as both researcher and practitioner Dr. Chen is deeply involved in Competitive Programming activities, having competed in ICPC World Finals 2018 (Beijing) and 2022 (Egypt), winning regional champion titles and several gold medals. He serves as chief judge for multiple ICPC Asia regionals and coaches training camps including the North American Programming Camp (NAPC). He is also the founder and co-president of the Universal Cup, an international competitive programming contest platform. Currently, he is recruiting highly motivated PhD students with strong backgrounds in competitive programming and interest in research, collaborating with Prof. Chenhao Ma on algorithm design projects.

• Algorithms
• Graph Theory
• Data Structures
• +3 more