جست‌وجوی استاد و پژوهشگر

Pamela Fergusonمشاهده پروفایل

استاد

• Criminal Law
• Criminal Procedure
• Healthcare Law
• +۷ مورد دیگر

Pamela Ferguson is a Professor at Dundee Law School, University of Dundee, United Kingdom. She holds the Chair in Scots Law since 2000, with prior roles as Senior Lecturer (1995-1999) and Lecturer (1989-1995). Her career began in the Crown Office and Procurator Fiscal Service (1986-1989), followed by roles as an examiner and committee member for the Law Society of Scotland. Education: Doctor of Laws (PhD) from University of Dundee (1994), LLB with First Class Honours from University of Glasgow (1985). Her research focuses on Criminal Law , Criminal Procedure , and Healthcare Law , with notable work on medical liability, clinical trials ethics, and Scots criminal justice reforms. She authored the Draft Criminal Code for Scotland with Commentary (2003) and co-authored Scots Criminal Law: A Critical Analysis (2014). Recent publications highlight trends in Scottish criminal procedure , eyewitness identification , and medical injury compensation . Her scientific awards include the 2023 Chancellor’s Award for Teaching and the 1985 Dr John MacCormick Prize. Scientific Awards: Chancellor’s Award for Outstanding Contributions to Teaching (2023) Joint winner of the Dr John MacCormick Prize (1985) Professor Ferguson supervises PhD and Masters students in criminal justice , healthcare law , and comparative criminal law. She has served as an external examiner at multiple UK universities and contributed to law reform committees.

• Marketing
• Machine Learning
• Data Analytics
• +۳ مورد دیگر

Dr. Jiang Qian is a Lecturer at the University of Sydney. He holds a PhD in Marketing from the University of Houston, a Master’s in Finance from Johns Hopkins University, and an undergraduate double major in Information Systems and Finance from the Southwestern University of Finance and Economics. His research focuses on leveraging quantitative models and machine learning techniques to extract insights from large-scale data in marketing and healthcare contexts, particularly in social media, online search, and healthcare markets. Current research supervision includes Jennifer Ye’s project on Audio Data Analytics: A New Dimension in Customer Service Excellence . Dr. Qian’s recent work spans AI applications in breast cancer detection, medical imaging analysis, and reinforcement learning for autonomous systems. His studies address challenges like AI model calibration, training data quality, and radiologist-AI collaboration in clinical settings. Notable contributions include analyzing video cover image impacts on advertisement engagement and exploring multiresolution techniques for medical imaging segmentation. His interdisciplinary approach bridges marketing analytics and healthcare technology, emphasizing practical clinical translation of AI systems.

• Radiation Oncology
• Medical Physics
• Cancer Treatment
• +۳ مورد دیگر

Dr Emily Hewson is a Cancer Institute NSW Early Career Fellow and member of the Sydney School of Health Sciences at the University of Sydney's Faculty of Medicine and Health. Her research focuses on advancing real-time radiation therapy techniques, particularly in managing intrafraction motion for prostate and other cancers. She leads projects involving multileaf collimator (MLC) tracking, dose optimization, and deep learning integration in radiation oncology. Research interests include adaptive radiotherapy systems, kilovoltage intrafraction monitoring (KIM), and clinical trial implementation (e.g., TROG 15.01 SPARK trial). Her work emphasizes improving treatment accuracy through real-time dose-guided approaches and multitarget tracking for tumors with complex motion patterns. Developed experimental validations for MRI-linac integration and MLC tracking systems Authored a textbook chapter on Adaptive Radiation Therapy (ART) Recipient of Cancer Institute NSW Early Career Fellowship (2023) Recent grants include an AI platform for targeted radiotherapy (2024) and national critical infrastructure funding for lung cancer applications (2023). Her lab collaborates on real-time dose calculation algorithms and clinical trial implementation across multiple institutions.

• Nutrition and Dietetics
• Healthy Ageing
• Dietary Assessment
• +۵ مورد دیگر

Associate Professor Fiona O'Leary is affiliated with the University of Sydney's Sydney Nursing School and the Discipline of Nutrition and Dietetics within the Faculty of Medicine and Health. She holds membership in the Charles Perkins Centre's Brain and Body, Biology of Ageing, and Healthy Food Systems research nodes. Her academic qualifications include a PhD, BSc (Hons), and a Graduate Diploma in Nutrition and Dietetics. Her research focuses on dietary assessment, malnutrition, public health nutrition, and evidence translation for healthy ageing. Notable projects include the NHMRC-funded Maintain Your Brain dementia prevention trial and secondary analysis of the Australian National Nutrition Survey. She also leads initiatives in Tanzania and Zambia addressing childhood malnutrition through poultry and crop integration. Current research projects: Maintain Your Brain trial, dietary patterns analysis, COPD supplementation, and food security initiatives in Africa. Dr. O'Leary has 33 peer-reviewed publications, primarily in ageing and dementia. She teaches Medical Nutrition Therapy and coordinates the Dietetic Professional Studies course. Awards include Advanced Accredited Practising Dietitian status. Her advisory roles include associate supervision of PhD and MPhil students in nutrition and cognitive function, oral health, and biomarker panel development.

Yu Xiaoمشاهده پروفایل

دانشیار

• Edge Computing
• Extended Reality (XR)
• Wearable Computing
• +۷ مورد دیگر

Yu Xiao is an Associate Professor at the Department of Information and Communications Engineering, Aalto University, specializing in edge computing, extended reality (XR), wearable computing, and crowdsensing. Their research contributes to the UN Sustainable Development Goals, particularly in education and technology innovation. Active in mobile cloud computing and decentralized systems Principal Investigator in EU-funded projects (EMIL, TUTL) Expert in 5G networks, autonomous systems, and human activity recognition Yu Xiao's work spans interdisciplinary domains, including healthcare (cardiovascular resuscitation devices) and urban mobility (autonomous vehicle interactions). They have received multiple awards, including Best Paper Awards and Nokia Foundation Scholarships. Focus on low-latency communication and multiagent reinforcement learning Developed frameworks like FediLive for decentralized social networks Contributed to 128+ publications and software tools Recent collaborations include institutions like Pontificia Universidad Católica de Chile and participation in IEEE committees. Their research integrates blockchain for secure IoT communication and advanced AR applications.

• Mental Health Policy
• Implementation Science
• Health Equity
• +۳ مورد دیگر

Briana Last is an Assistant Professor in the Department of Psychology at Stony Brook University, specializing in Clinical Psychology. She holds a PhD from the University of Pennsylvania (2022) and focuses on improving mental health service accessibility and quality through interdisciplinary research. Her research emphasizes three core domains: social determinants of mental health, implementation strategies for service improvement, and structural factors influencing clinician decision-making. She employs mixed methods and community-based participatory approaches, prioritizing marginalized populations affected by systemic inequities. Key interests include behavioral health workforce development, policy analysis, and dismantling barriers to equitable mental healthcare. Her lab, the Mental Healthcare for All Lab, collaborates with governments, agencies, and clinicians to translate research into actionable policies. Notable projects address clinician burnout interventions, public mental health system gaps, and anti-transgender policy impacts. Recent work critiques scientifically unfounded bans on gender-affirming care and evaluates federal loan repayment programs for mental health workforce retention. Publications span topics like AI chatbots in mental health, state policy effects on LGBTQ+ populations, and trauma therapy implementation. Her work highlights how clinician work conditions directly shape patient care quality, advocating for systemic changes to enhance both provider well-being and patient outcomes.

Marc Schneiderمشاهده پروفایل

استاد

• Colloidal drug delivery systems
• Nanoparticle and microparticle engineering
• Nanotechnology in pharmacy
• +۳ مورد دیگر

Prof. Dr. Marc Schneider holds a professorship in Biopharmaceutics and Pharmaceutical Technology at Saarland University's College of Pharmacy . His research focuses on colloidal drug delivery systems, particularly nanostructured and non-spherical particle engineering for overcoming biological barriers in pulmonary and transdermal applications. He leads an internationally recognized lab in Saarbrücken, collaborating with Helmholtz Institute for Pharmaceutical Research Saarland (HIPS) and trinational institutions. Research Highlights: Development of inhalable nano/microparticle systems Surface modification of gelatin nanoparticles Characterization of mucus-penetrating particles 3D printing for microneedle fabrication Atomic Force Microscopy (AFM) for nanoparticle analysis Selected Scientific Awards: European Journal of Pharmaceutics and Biopharmaceutics Best Paper Award (2018) for mucus-penetrating nanoparticles Recognized in 'Ausgezeichnete Orte im Land der Ideen' competition (2018) for 'Nano-Mais' drug delivery system Collaborative Networks: Co-editor for Advanced Drug Delivery Reviews special issue on biological barriers Key participant in trinational Master's program in Biomedicine with Strasbourg, Mainz, and Luxembourg Active in Controlled Release Society (CRS) conferences and local chapters

Ke Yangمشاهده پروفایل

استادیار

• Algorithmic fairness
• Data ethics
• Data management
• +۷ مورد دیگر

Ke Yang serves as Assistant Professor in the Department of Computer Science at the University of Texas at San Antonio (UTSA), College of Sciences. He founded and leads the Cohort for AI REsponsibility (CAREAI) initiative, while also holding core faculty positions in UTSA's School of Data Science and MATRIX (AI Consortium for Human Well-being). Education: Ph.D. from New York University (supervised by Prof. Julia Stoyanovich) Research Focus: Dr. Yang's work centers on AI trustworthiness and responsibility , with specialized expertise in algorithmic fairness, data ethics, and human-centered data science. His research addresses critical challenges including Large Language Model hallucinations, explainable AI frameworks, and algorithmic accountability mechanisms. He actively develops open-source tools like Ranking Facts and FairDAGs to implement these principles in practical systems. Publication Trends: Recent work (2020-2025) demonstrates evolving focus from foundational fairness in ranking systems toward generative AI safety and medical applications. His publications show strong theoretical grounding combined with real-world implementation, particularly in privacy policy analysis and medical question-answering systems using causal inference techniques. Scientific Recognition: Pearl Brownstein Doctoral Research Award (NYU Tandon School of Engineering) CDS Postdoctoral Fellowship (University of Massachusetts) Professional Development: Dr. Yang has secured significant research funding including the CDS Postdoctoral Fellowship at UMass. His graduate work at NYU and Drexel University was fully supported by research assistantships, demonstrating consistent funding acquisition throughout his career. He actively contributes to academic community building through conference tutorials and educational initiatives. Research Ecosystem: He directs CAREAI at UTSA while collaborating across institutional boundaries through MATRIX and the School of Data Science. Previously, he contributed to the Data systems Research for Exploration, Analytics, and Modeling (DREAM) lab and Center for Data Science at UMass Amherst, maintaining continuity in his responsible AI research trajectory.

• Digital Service Innovation
• Workplace Learning
• Information Systems
• +۳ مورد دیگر

Lars-Olof Johansson is a Senior Lecturer at Halmstad University's School of Information Technology, specializing in Informatics. His research focuses on digital service innovation from a learning perspective, emphasizing collaboration between diverse stakeholders and knowledge exchange in innovation processes. He is actively involved in the LeaDS research program (Learning in a Digitalized Society) and teaches in the bachelor's program 'Digital Business Development' and the master's program 'Digital Learning'. His work bridges educational methodologies and technological innovation, particularly in fostering environments where interdisciplinary learning drives successful digital service creation. Notably recognized as an 'Excellent Teacher in Informatics,' he integrates practical experience with academic rigor, contributing to both scholarly discourse and pedagogical advancements. Key projects include SESMA (2019-2021), exploring sustainable mobility solutions, and ongoing collaborations in boundary practices for ICT innovation. His publications span topics like knowledgeability in digital service innovation, ethics in autonomous systems, and collaborative learning frameworks. His awards highlight his pedagogical impact, while his research addresses systemic challenges in innovation through interdisciplinary approaches.

• Exercise Physiology
• Cardiovascular Health
• Exercise as Medicine
• +۳ مورد دیگر

Ulrik Wisløff is a Professor and Head of the Cardiac Exercise Research Group (CERG) at the Norwegian University of Science and Technology (NTNU), Department of Circulation and Medical Imaging. He also holds an Honorary Professorship at the University of Queensland, Australia, and serves as Head of Physical Performance at Rosenborg FC. His research focuses on exercise physiology, translating experimental findings into clinical applications, and developing health technologies like the PAI (Personal Activity Intelligence) metric. Wisløff leads CERG, a 55-member group renowned for groundbreaking studies on exercise in cardiovascular health, aging, and disease prevention. He has authored over 340 peer-reviewed papers, with 127,000+ citations, and been recognized as one of the world's top-cited exercise scientists. Key achievements include the Fitness Calculator (used by 80.5 million people) and PAI, a free app with 70 million users worldwide. Current projects include NorEx (9,700 patients with myocardial infarction) and ExPlas (Alzheimer’s cognitive function trials). Wisløff has mentored 22 postdocs and 38 PhD students, advancing the next generation of researchers. His leadership extends to innovative ventures like the 'My Medical Digital Twin' project, spun into Mia Health Ltd. Scientific contributions span exercise physiology, cardiovascular risk prediction, and high-intensity training efficacy. Awards include Norway’s highest honor in heart research (2020). Research spans molecules-to-society translational medicine, emphasizing global health impact through physical activity advocacy.

Om Parkash Dhankherمشاهده پروفایل

استاد

• Phytoremediation
• Plant Biotechnology
• Heavy Metal Toxicity Mitigation
• +۳ مورد دیگر

Prof. Om Parkash Dhankher is a distinguished Professor at the University of Massachusetts Amherst in the Stockbridge School of Agriculture. His research integrates plant biotechnology, phytoremediation, and climate-resilient crop development, focusing on detoxification of heavy metals, stress tolerance, and metabolic engineering for biofuels. He leads the Dhankher Lab , which pioneered transgenic plants for arsenic phytoremediation and manipulation of glutathione pathways. Education: Ph.D. in Plant Molecular Biology, Durham University (1998) M.Phil. in Biochemistry and Genetics, Kurukshetra University (1998) M.Sc. in Botany, Kurukshetra University (1987) B.Sc. in Medical, Maharishi Dayanand University (1985) Research interests include molecular mechanisms of abiotic stress tolerance, glutathione homeostasis for oxidative stress, arsenic-free crop engineering, and nanotechnology applications in agriculture. His work on sulfur nanoparticles has demonstrated reduced toxicity in rice and Brassica napus, while his Crambe abyssinica and Camelina sativa projects focus on biofuel yield enhancement. He pioneered the first transgenic plant combining arsC and γECS for arsenic remediation. Scientific leadership is reflected through editorial roles in Plant Cell Reports , Frontiers in Plant Sciences , and Environmental Pollution (among others). His accolades include fellowships from CSSA, ASA, ISEB, and ISPP, alongside US patents for metal-resistant plants and oil content engineering. Notably, his research on plant-based nickel extraction featured in the Wall Street Journal (2025) and was highlighted in Nature Biotechnology (2002), earning over $10M in research funding. Publications span 117 peer-reviewed articles and 4 books, including breakthroughs on arsenic detoxification , nanoparticle-plant interactions , and stress-associated proteins . His work has been featured in Science , Nature , PNAS , and ACS Nano , with recent 2025 articles on Camelina nickel tolerance and nanomaterial gene delivery . Collaborations span institutions in India, China, Italy, and Egypt through international outreach programs.

Richard Gaultمشاهده پروفایل

مدرس

• Computer Vision
• Medical Image Analysis
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Richard Gault is a Lecturer in the School of Electronics, Electrical Engineering and Computer Science at Queen's University Belfast. His research focuses on computer vision and deep learning applied to microscopy data, particularly in medicine, health, and life sciences. He leads a team developing novel methods for medical image analysis, including histopathology and digital pathology, with applications in cancer diagnosis and environmental science. He is actively involved in teaching, having received Excellence in Teaching awards from Queen's University Belfast in 2019 and 2022. His work bridges computational intelligence and healthcare, with notable contributions to AI-driven diagnostics, stain normalization in histopathology, and multimodal data fusion. Dr. Gault's research interests include ensemble learning, fuzzy systems, and generative models like diffusion networks. He supervises multiple PhD students and has mentored graduates now working in machine learning engineering and postdoctoral research. His team’s achievements include awards such as the 2023 Best Oral Presentation at the Pan Ireland Ophthalmology Day and a 2021 Best Paper Award from his school. Key contributions include the LymphoSight AI application for detecting lymphoid structures and HistoClean , open-source software for improving CNN development in histopathology. He has been recognized as a Senior Member of IEEE and a Fellow of the Higher Education Academy. His work is supported by grants such as the R5131ECI project on 3D quantifier approximation via 2D video analysis (2019–2025). He actively engages in academic activities, including conference organization and PhD external examinations across Europe.

Mor Armonyمشاهده پروفایل

استاد

• Operations Management
• Stochastic Modeling
• Service Operations
• +۷ مورد دیگر

Mor Armony is the Vice Dean for Faculty and Research, Harvey Golub Professor of Business Leadership, and Professor of Technology, Operations & Statistics at the Leonard N. Stern School of Business, New York University. She has been a key faculty member since 1999 and is a leading researcher in stochastic modeling and service operations. Ph.D. in Operations Research, Stanford University (1999) M.S. in Operations Research, Stanford University (1997) M.S. in Statistics, Hebrew University of Jerusalem (1996) B.S. in Mathematics and Statistics, Hebrew University of Jerusalem (1993) Her research focuses on large-scale service systems, particularly in healthcare and contact centers. She investigates patient flow in hospitals, optimization of customer experience, and control of stochastic processing systems using advanced queueing models and operations research techniques. Her work bridges theoretical rigor with practical applications in service operations management. The recent articles reflect a strong trend toward integrating behavioral aspects into operations models, such as customer impatience, strategic patient behavior, and the impact of online reviews on physician demand. Her research spans healthcare operations, call center optimization, and dynamic routing in heterogeneous systems, consistently published in top journals like Management Science , Operations Research , and Production and Operations Management . Scientific recognition includes being named the Harvey Golub Professor of Business Leadership, a distinguished title at NYU Stern. Harvey Golub Professor of Business Leadership She actively advises research projects and collaborates with scholars on topics including staffing, routing, and capacity management. Her work has been supported by ongoing academic engagement and publication, with recent projects addressing appointment scheduling with no-shows, strategic capacity withholding, and co-sourcing in call centers. She leads research in data-driven queueing science applied to hospital operations and is involved in empirical studies on digital health platforms. Her research group, the Operations Management Group at Stern, focuses on developing analytical models for complex service systems. She contributes to interdisciplinary efforts in healthcare operations and collaborates with medical researchers on improving critical care delivery and outpatient scheduling.

Melissa A. Schillingمشاهده پروفایل

استاد

• Innovation Strategy
• Technological Change
• Platform Ecosystems
• +۷ مورد دیگر

Melissa A. Schilling is the Herzog Family Professor of Management at New York University Stern School of Business, where she is also Deputy Chair of the Management & Organizations Department and Director of the Innovation Initiative at the Fubon Center for Technology, Business and Innovation. She joined NYU Stern in 2001 and is a leading scholar in innovation and strategic management. Ph.D., Strategic Management, University of Washington, 1997 B.S., Business Administration, University of Colorado at Boulder, 1990 Melissa Schilling's research centers on innovation in high-technology industries, including smartphones, biotechnology, pharmaceuticals, and renewable energy. She explores platform ecosystems, network externalities, technological standards, and the cognitive and social traits of breakthrough innovators. Her work integrates strategic management with organizational behavior and technological evolution. She is particularly known for her studies on how firms can accelerate innovation adoption and create value in complex ecosystems. Her recent publications reveal a strong trend in digital transformation, platform competition, and the cognitive foundations of visionary leadership. She analyzes how firms manage innovation in platform-based markets and how breakthrough ideas emerge from outlier thinking. Her articles frequently appear in top journals such as Strategic Management Journal , Organization Science , and Management Science . Scientific Awards and Recognitions: National Science Foundation CAREER Award 2022 Sumantra Ghoshal Award for Rigour and Relevance in Management 2018 Leadership in Technology Management, PICMET Best Paper in Management Science and Organization Science, 2012 Broderick Prize for Excellence in Research, Boston University Melissa Schilling has advised numerous doctoral students and contributed to major research initiatives, including a National Academy of Sciences committee on electric vehicle deployment. She has secured grants from the NSF and Kauffman Foundation. She is a senior editor at Strategy Science and serves on the editorial boards of several leading management journals. She also leads the Innovation Initiative at the Fubon Center, fostering industry-academia collaboration in tech innovation. She is actively involved in research labs and innovation centers at NYU Stern, particularly those focused on technology ecosystems and digital transformation. Her leadership in the Fubon Center drives interdisciplinary research on how businesses can leverage technological change for competitive advantage.

Slava Jankinمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +۳ مورد دیگر

Slava Jankin is a Professor of Data Science and Government at the University of Birmingham’s School of Government, where he also serves as Deputy Director of the Institute for Data and AI and Founding Director of the Centre for Artificial Intelligence in Government. He is concurrently a Fellow and Founding Director of the Data Science Lab at the Hertie School in Berlin. Previously, he held a Professorship at the University of Essex and has worked at University College London (UCL) and the London School of Economics (LSE). His research bridges computational methods, governance, and climate policy, with a focus on AI applications in public institutions, climate-health surveillance, and misinformation resilience. Jankin earned a PhD in Political Science from Trinity College Dublin (2009), a Postgraduate Diploma in Statistics (2006), and a BSc from Belarus State Economic University (2002). **Education**: • PhD in Political Science, Trinity College Dublin (2009) • Postgraduate Diploma in Statistics, Trinity College Dublin (2006) • BSc Econ with Distinction, Belarus State Economic University (2002) **Research Interests**: Jankin’s work integrates AI and computational methods with governance challenges, including climate policy, health surveillance, and institutional effectiveness. He leads initiatives like the Lancet Countdown’s climate-health monitoring and the CATALYSE project on climate impacts. His research also explores digital twins for governance systems and the role of cultural diversity in societal resilience against misinformation. **Grants & Collaborations**: He advises the UN and EU on AI and data science, co-leads the Lancet Countdown, and collaborates with institutions like the Alan Turing Institute. His applied work includes developing AI tools for public service optimization and policy simulations. **Labs & Teams**: Directs the Centre for AI in Government (University of Birmingham) and the Hertie School’s Data Science Lab, fostering interdisciplinary teams to advance computational methods in public policy.