جست‌وجوی استاد و پژوهشگر

Yvo Pokernمشاهده پروفایل

دانشیار

• Diffusion Processes
• Bayesian Statistics
• Markov Chain Monte Carlo
• +۴ مورد دیگر

Dr Yvo Pokern is an Associate Professor in Statistics at University College London since 2018. His research focuses on computational statistics and machine learning, with expertise in diffusion processes and Bayesian methodology. He earned his PhD in mathematics under Andrew Stuart, a Masters at Paris XI with a dissertation at the Max-Planck-Institute in Leipzig, and was a postdoctoral researcher at Warwick University with Gareth Roberts and Wilfrid Kendall. His primary research interests include statistical inference for diffusion processes (particularly hypoelliptic diffusions and diffusions on manifolds), Bayesian methods such as Markov chain Monte Carlo, and statistical applications in spectroscopy (ENDOR). His work combines theoretical rigor with practical applications in diverse scientific domains. Analysis of his recent publications reveals a consistent theme of developing and applying advanced statistical techniques to complex real-world problems, including traffic flow, fingerprint analysis, and magnetic resonance spectroscopy. Dr Pokern has supervised numerous PhD students, several of whom have gone on to academic careers. Notable former students include Mai Ngoc Bui (now lecturer at the British University Vietnam) and Tjun Yee Hoh (now lecturer at UCL School of Management).

Graham Ormondroydمشاهده پروفایل

استاد

• Wood Modification
• Biomaterials
• Phenolic Resin Applications
• +۳ مورد دیگر

Graham Ormondroyd is a Professor at the School of Environmental and Natural Sciences , Bangor University , specializing in the Biocompounds department. His research focuses on innovative wood modification techniques, sustainable biomaterials, and environmental impact assessments. Current projects include scaling waste-based composites for infrastructure and developing Welsh wool applications. Collaborations span academia-industry partnerships like Bangor University and Zentia Ltd KTP. Research Trends: His 2025 publications emphasize multi-scale resin diffusion analysis and UK wood recycling frameworks, while 2024 work explores laser incising and phenolic resin-NMR interactions. Recent studies also address VOC emissions from formaldehyde-free composites. Professional Activities: He chairs academic panels (e.g., International Panel Products Symposium) and reviews publications. Projects focus on net-zero construction and climate resilience.

Pavel P. Kuksaمشاهده پروفایل

عضو هیئت علمی

• Bioinformatics
• Computer Science
• Functional Genomics
• +۵ مورد دیگر

Pavel P. Kuksa is a Research Assistant Professor in the Department of Pathology and Laboratory Medicine, specializing in bioinformatics, computer science, and functional genomics. His work focuses on high-throughput sequencing analysis, chromatin interaction data, and developing scalable software platforms for genomics research.

ALCOUFFE Simonمشاهده پروفایل

استاد

• Management Accounting
• Environmental Management
• Sustainability
• +۳ مورد دیگر

ALCOUFFE Simon is a Professor at the Management Control, Accounting and Auditing department of Toulouse Business School. His research focuses on management accounting innovations, environmental sustainability, and the interplay between corporate governance and accounting practices. He explores topics such as carbon accounting, cost behavior dynamics, and the adoption of environmental management tools in SMEs. Key research areas include: Environmental Management Accounting (EMA) and its role in sustainability Diffusion of management accounting innovations (e.g., Activity-Based Costing) Innovation dynamics in accounting systems and control mechanisms Global performance measurement and oversight mechanisms in start-ups and SMEs His publications analyze how organizations balance financial and non-financial metrics, particularly in the context of environmental governance and international sustainability frameworks. Recent work highlights tensions between corporate reporting standards and practical implementation challenges.

Ashish Sinhaمشاهده پروفایل

استاد

• Marketing Strategy
• Business Analytics
• Digital Transformation
• +۵ مورد دیگر

Professor Ashish Sinha is a leading academic in Marketing at the UQ Business School, holding concurrent roles as Visiting Professor at the Indian School of Business and Research Fellow at the Hong Kong Polytechnic University. His career spans senior leadership in academia (e.g., Academic Dean of Executive Education at ISB, Interim Dean at UTS Business School) and industry (Vice President at IRI, Chicago). His research bridges theory and practice, focusing on digital transformation, AI-driven strategies, ESG impact analysis, and marketing analytics. He has pioneered frameworks for retail optimization, category management, and B2B innovation adoption, with over 30 journal articles in top-tier outlets like Journal of Marketing and Marketing Science . Research Impacts: Sinha’s work has transformed executive education programs (e.g., ISB’s #38-ranked custom programs) and driven research excellence at UTS. He is a serial entrepreneur, having founded two analytics firms acquired for their practical impact. His $240M Food Agility CRC participation highlights his role in agribusiness innovation. Awards include the Davidson Award and twice runner-up for the Gary Lilien Practice Award for applied marketing science. Key Research Themes: AI in Marketing, Digital Transformation, ESG Strategies, Consumer Sentiment Analysis Leadership Roles: Academic Dean (ISB), ADR (UTS), Head of Marketing (UNSW) Industry Experience: Analytics leadership at IRI, strategic consulting across sectors Grants/Partnerships: CI in Food Agility CRC ($240M), multiple ERA-recognized research collaborations. Advises on AI ethics, sustainable marketing, and global business strategy.

Angelica Limمشاهده پروفایل

استادیار

• Human Robot Interaction
• Affective Computing
• Multimodal Perception and Learning
• +۶ مورد دیگر

Angelica Lim is an Assistant Professor of Professional Practice and Rajan Family Scholar in the School of Computing Science at Simon Fraser University. Her research focuses on Human Robot Interaction, Affective Computing, and Multimodal Perception with applications in healthcare and developmental robotics. She holds a PhD in Informatics from Kyoto University (2014), an M.Sc. from Kyoto University (2012), and a B.Sc. in Computing Science from SFU (2008). Her work bridges robotics and human-centered AI through projects like the ROSIE Lab, exploring emotion-aware systems, socially assistive robots, and VR programs for aging populations. Key contributions include benchmarking emotional speech recognition (BERSting), developing embodied emotion models for robots, and co-designing healthcare technologies with patient partners. Recent publications emphasize ethical AI, multimodal perception systems, and human-robot collaboration in dynamic environments. Teaching includes courses on software engineering, artificial intelligence, and introductory computer science. Her research has been applied in dementia care through VR programs, robotic companionship for older adults, and emotion-aware human-robot communication systems. Current initiatives focus on inclusive HRI design and sim2real methodologies for underrepresented data in affective computing.

Li Minمشاهده پروفایل

دانشیار

• Archaeology
• Chinese Prehistoric and Bronze Age Studies
• Social Memory and State Formation
• +۳ مورد دیگر

Li Min is an Associate Professor at the University of California, Los Angeles (UCLA), affiliated with the Department of Anthropology. His research focuses on Chinese prehistoric and Bronze Age archaeology, emphasizing state formation, social memory, and climatic responses. He also studies maritime archaeology of the Asiatic Trade in the Early Modern Era, using ceramic analysis to trace global trade impacts. Li teaches graduate seminars in archaeology theories and undergraduate courses on Chinese civilizations, collaborating across Anthropology, Asian Languages and Cultures, and the Interdepartmental Program of Archaeology. He co-directs the Wen-Si River Basin archaeological project with Chinese institutions. His 2018 book, Social Memory and State Formation in Early China , is a key contribution to the field. His education includes a Ph.D. from the University of Michigan (2008). Research interests further encompass landscape archaeology, integrating ceramics analysis with remote sensing and historical records. Subfield expertise includes social archaeology, material culture studies, and historical anthropology. Recent publications (2023–2025) concentrate on neuro-oncology imaging innovations, including MRI techniques for glioma characterization, adaptive clinical trials (e.g., GBM AGILE), and biomarker development. These studies highlight advanced applications of AI in medical imaging and molecular targeting therapies for brain tumors. Despite no listed awards, his work on imaging biomarkers and tumor response assessment has advanced clinical neuro-oncology standards. He advises on interdisciplinary collaborations, such as the Wen-Si project, and participates in global clinical trials for glioblastoma therapies.

Romualdo Pastor-Satorrasمشاهده پروفایل

دانشیار

• Condensed Matter Physics
• Mathematical Physics
• Theoretical Physics
• +۳ مورد دیگر

Romualdo Pastor-Satorras is an Associate Professor of Applied Physics at the Universitat Politècnica de Catalunya (UPC) since 2006. He earned his PhD in Condensed Matter Physics from the Universitat de Barcelona in 1995, followed by postdoctoral research at MIT (1996–1998) and The Abdus Salam International Centre for Theoretical Physics (1998–2000). His extensive international collaborations include visiting positions at Yale University, University of Notre Dame, Kavli Institute for Theoretical Physics, Helsinky University of Technology, Indiana University, and the ISI Foundation. Research Focus His interdisciplinary work spans statistical physics, network theory, and dynamical systems. Primary research areas include: Modeling epidemic spreading in complex networks Random walks and diffusion processes in temporal networks Social and biological applications of network science Glassy dynamics and energy landscapes His research combines mathematical rigor with data-driven approaches to address problems in public health, social dynamics, and complex system behavior. Publications Overview With over 100 peer-reviewed publications, Pastor-Satorras's work demonstrates consistent focus on network dynamics and epidemic modeling. Recent articles explore COVID-19 herd immunity thresholds (2020), echo chambers in political networks (2019), and non-Poissonian temporal networks (2019). His foundational 2015 review on epidemic processes in networks is highly influential. Publications frequently involve interdisciplinary collaborations across physics, data science, and computational biology. Awards and Distinctions Fellow of Universitat Politècnica de Catalunya ICREA Academia Prize (awarded twice by the Government of Catalonia) Research Infrastructure He maintains active collaborations through visiting positions at leading global institutions. His work involves theoretical modeling and computational analysis, though specific laboratory details are unspecified in the provided text.

• Organisational Behaviour
• Human Resources Management
• Creativity
• +۵ مورد دیگر

Roy CHUA is a Professor of Organisational Behaviour & Human Resources and Associate Dean for Post-Experience Postgraduate Programmes at the Lee Kong Chian School of Business, Singapore Management University. He holds a Ph.D. in Management (Organizational Behavior) from Columbia University and has held academic positions at Harvard Business School and Singapore Management University since 2008. His research focuses on creativity, cross-cultural management, leadership, and innovation in organizational contexts, particularly in Asian business ecosystems. Education: Ph.D., Management (Organizational Behavior), Columbia University (2008) M.A., Philosophy, Columbia University (Year not specified) B.Sc., First Class Honors, Computer and Information Services, National University of Singapore (1998) Research Interests: Dr. Chua's work examines how cultural factors influence creativity and innovation, including studies on cultural tightness, intercultural collaboration, and trust dynamics in global business environments. He has conducted groundbreaking research on gender disparities in creative processes and the impact of cultural diversity on organizational outcomes. His empirical studies often combine quantitative analysis with qualitative insights from multinational corporations and institutional data. Awards: Best Reviewer Award - Academy of Management Journal (2017) Multiple teaching awards including 'Mind Opener' MBA Award (2016) Academic excellence scholarships including Asia Life Gold Medal (1997) Research grants from Columbia University CIBER and other institutions Advising & Grants: Supervises doctoral candidates in General Management and DBA programs Lead researcher on projects funded by Singapore Management University and international grants Collaborations with institutions like MIT Sloan and Harvard Business School Labs/Teams: Leads research initiatives in organizational creativity and cross-cultural management at Lee Kong Chian School of Business, with active participation in global academic networks focused on Asia-Pacific business strategies.

Mark J. Hillمشاهده پروفایل

مدرس

• Digital Humanities
• Computational Social Science
• Intellectual History
• +۶ مورد دیگر

Dr Mark J. Hill is a Lecturer in Cultural Computation at King's College London's Department of Digital Humanities within the Faculty of Arts & Humanities. He holds a DPhil from the University of Oxford, an M.Sc. in Political Theory from the London School of Economics, and a B.A. in Political Science from Concordia University. His interdisciplinary work bridges digital humanities, computational social science, and intellectual history. Research Focus: Social network analysis, public discourse analysis via large datasets, quantitative text analysis, and critical evaluation of digital methods. Current Projects: Investigating discourse patterns across historical and contemporary contexts, including Early Modern Nonconformist networks and digital discourse around football fandom. He collaborates with institutions like the University of Helsinki and engages with public sectors on digital research projects. Teaching includes digital research methods and critical thinking in the digital age. His affiliations include the Computational Humanities Research Group and the Centre for Digital Culture at King's College London.

Pierre F Baldiمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۱۰ مورد دیگر

Pierre Baldi is a Distinguished Professor at the University of California, Irvine (UCI), holding appointments in the School of Information and Computer Sciences (ICS), the Institute for Genomics and Bioinformatics (IGB), and the Center for Machine Learning and Intelligent Systems (CML). His research focuses on AI, machine learning, and their applications in natural sciences, including physics, chemistry, and biology. He leads projects on neural networks, probabilistic modeling, and bioinformatics. Key roles include Director of the IGB and AI in Science Institute. Awards include the Dennis Gabor Award and Fellowships from AAAI, AAAS, and IEEE. His work spans interdisciplinary collaborations, such as the DUNE neutrino experiment and AI-driven drug discovery. Teaches courses like Probabilistic Modeling of Biological Data and Neural Networks. Active in conferences, including workshops on deep learning and its implications in science.

Garg Vikasمشاهده پروفایل

استادیار

• Quantum Computing
• Artificial Intelligence
• Machine Learning
• +۸ مورد دیگر

Professor Garg Vikas holds the position of Assistant Professor in the Department of Computer Science at the School of Science. His research spans quantum computing, artificial intelligence, and machine learning with applications in computational biology, healthcare, and drug design. He leads the HEALED/Garg project focused on human-steered machine learning for drug discovery and collaborates with institutions like MIT and industry partners. He co-founded YaiYai Oy, providing AI/ML solutions to global sectors. Education: PhD from MIT CSAIL under Tommi Jaakkola, with postdoctoral and industry experience at Amazon, Microsoft, and IBM. His work aligns with UN SDGs, particularly in healthcare and sustainable energy. Research interests include graph neural networks, generative models, and quantum AI. Recent projects involve climate modeling via physics-informed neural ODEs and optimizing quantum circuits using graph autoencoders. Key collaborations include MIT’s MLPDS Consortium and the Finnish Center for Artificial Intelligence. He supervises doctoral researchers like Yogesh Verma and postdocs such as Kogkalidis.

John Taylorمشاهده پروفایل

استاد

• Gauge Field Theory
• Thermal Field Theory
• Theoretical Physics
• +۳ مورد دیگر

John Taylor is a Professor of Mathematical Physics at the Department of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge. His career includes roles as Reader in Theoretical Physics at Oxford University and earlier positions as Lecturer at Cambridge and Imperial College. His research focuses on Gauge Field Theory, Thermal Field Theory, and fluid dynamics with applications to oceanography and climate science. He leads the High Energy Physics research group at DAMTP and contributes to interdisciplinary projects on carbon sequestration and ocean biogeochemical modeling. Key research interests include turbulence in stratified flows, submesoscale ocean dynamics, and climate-related processes such as ice shelf-ocean interactions. His work integrates theoretical physics, computational modeling, and machine learning to address challenges in environmental science. Taylor has authored influential publications, including Hidden Unity in Nature's Laws (2001) and edited volumes on gauge theories. Recent studies explore carbon dioxide removal via macroalgae cultivation and the impact of fluid dynamics on kelp forests. His collaborative projects include developing the OceanBioME framework for coupled biogeochemical and physical ocean modeling.

Niklas Lindeمشاهده پروفایل

استاد

• Geophysics
• Environmental Geophysics
• Probabilistic Inversion
• +۳ مورد دیگر

Niklas Linde is a full professor at the University of Lausanne's Faculty of Geosciences and Environment, leading the Department of Earth Sciences. He holds a PhD in Geophysics from Uppsala University (2005) and has held roles including Assistant Professor (2008), Associate Professor (2013), and Full Professor (2019). His research focuses on transforming geophysical signals into realistic hydrogeological models with rigorous uncertainty quantification. Key areas include probabilistic inversion, Bayesian methods, and geostatistical modeling applied to environmental and subsurface processes. Education: PhD in Geophysics (Uppsala University, 2005), postdoctoral positions at Lawrence Berkeley National Lab (USA), CNRS-CEREGE (France), and ETH Zurich (Switzerland). He joined UNIL in 2008 as an Assistant Professor in Environmental Geophysics. Research interests span geophysical inversion techniques, subsurface heterogeneity characterization, and the integration of geophysical and hydrological data. Current projects emphasize Bayesian approaches for model selection and rare event estimation, supported by grants from the European Commission and Swiss National Science Foundation. Collaborations involve international teams addressing challenges in hydrogeology, rock fracture dynamics, and 4D hydrogeology. Publications reflect advancements in inverse problem solving, stochastic simulation, and machine learning applications. His work bridges theory and practice, with field studies in alpine environments, fractured media, and environmental monitoring. Students under his supervision have explored topics like deep generative networks and Bayesian hydrogeological inversion. Advising: Supervised over a dozen PhD students, including recent works on variational Bayesian methods and geophysical data fusion. Grants include projects on uncertainty quantification and experimental design. Active in scientific societies and editorial roles, contributing to methodological advancements in Earth sciences.

• Corporate Finance
• Corporate Governance
• Financial Technology (Fintech)
• +۹ مورد دیگر

Gilles Chemla is a Professor of Finance at Imperial College Business School and Co-Director of the Centre for Financial Technology. He holds affiliations with the Centre National de la Recherche Scientifique (CNRS), the Centre for Economic Policy Research (CEPR), and the Rimini Centre for Economic Analysis (RCEA). His academic journey includes a PhD in Economics from the London School of Economics, an MSc from Paris School of Economics, and an engineering degree from Ponts Paristech. Chemla’s research focuses on corporate finance, fintech innovation, causal inference methodologies, and corporate governance. His work bridges theoretical economics with practical applications in finance, energy markets, and policy. Recent articles explore AI adoption in finance, crowdfunding dynamics, and executive compensation dynamics. He has contributed to top journals like Journal of Financial Economics and Journal of Empirical Finance . Education: PhD in Economics, London School of Economics (1996) MSc in Economics, Paris School of Economics (1992) Engineering Degree in Mathematics and Economics, École des Ponts ParisTech (1992) Awards: Multiple teaching prizes (unspecified). Professional Roles: Non-executive director roles in corporations and financial institutions Associate Editor, Journal of Empirical Finance Chemla’s research also addresses interdisciplinary topics such as medical trial biases and policy-relevant experiments. He advises on fintech innovation, financial regulation, and energy market dynamics, leveraging mathematical modeling and data science expertise.