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Krishna Talluru MuraliView profile

Senior Lecturer

• Turbulence
• Aerodynamics
• Experimental Fluid Dynamics
• +2 more

Dr. Krishna Talluru Murali is a Senior Lecturer at the School of Engineering & Technology , University of New South Wales (UNSW) Canberra. His research focuses on turbulence, aerodynamics, and experimental fluid dynamics, particularly in fluid-structure interactions across low-speed to hypersonic regimes. He holds a PhD in Mechanical Engineering from the University of Melbourne (2014) and a Bachelors with Honours from IIT Delhi (2007). Education PhD in Mechanical Engineering, University of Melbourne, Australia (2014) Bachelors in Mechanical Engineering with Honours, IIT Delhi, India (2007) Dr. Talluru's research explores compressible wake flows, fluid-structure interactions, and experimental wind tunnel techniques. His work spans subsonic, supersonic, and hypersonic flow regimes, with applications in aerospace engineering and environmental fluid dynamics. Recent publications focus on hypersonic fluid-structure interactions (2024), shock-wave boundary-layer dynamics (2023-2022), natural convection (2020), and turbulence scaling (2018). Key keywords include Aerospace Engineering , Fluid Mechanics , and Flow Visualization . Scientific Awards 2024 Windows on Science Fellowship (US AFOSR) 2023 Best Paper Award (AIAA Space Planes Conference) 2023 Associate Fellow, Higher Education Academy 2022 Best Paper Award (AIAA SciTech Forum) Dr. Talluru supervises PhD students in hypersonic flow modeling, natural convection studies, and shock-boundary layer interactions. He has secured major grants from US AFOSR (AUD 970,000) and Australian institutions for fluid-thermal-structural research. Teaching includes courses like Thermofluids (ZEIT2500), Aerodynamics (ZEIT3503), and Applied Thermodynamics (ZEIT3507).

Peter Michael RobinsonView profile

Professor

• Econometrics
• time series analysis
• spatial analysis
• +2 more

Peter Michael Robinson holds the Tooke Professorship of Economic Science and Statistics at the London School of Economics and Political Science (LSE), where he maintains an active research profile in advanced econometric theory. His institutional affiliation centers on LSE's Department of Economics, though the departmental structure is not explicitly detailed in available materials. Robinson's research program focuses on cutting-edge econometric methodologies, particularly long-memory processes, spatial dependence structures, and nonstationary time series analysis. His work bridges theoretical rigor with practical applications in panel data and spatial econometrics, emphasizing semiparametric and nonparametric approaches for complex dependency patterns. Key innovations include refined inference techniques for spatial autocorrelation and fractional integration models. Analysis of his recent publications (2012-2018) reveals a sustained emphasis on spatial econometrics and time-series methodology, with significant contributions to panel data modeling, long-range dependence theory, and nonparametric estimation under cross-sectional dependence. His work consistently advances asymptotic theory while addressing real-world data challenges in economics and statistics. No scientific awards or honors were explicitly documented in the source materials. Available records contain no information regarding doctoral students, grant funding, or academic advising activities. Research infrastructure details such as laboratories or collaborative teams were not specified in the provided documentation.

Andreas SchlitzerView profile

Professor

• Immunology
• Systems Biology
• Myeloid Cell Development
• +8 more

Professor Andreas Schlitzer leads the Quantitative Systems Biology research group at the Life and Medical Sciences Institute (LIMES) , University of Bonn. His work focuses on myeloid cell development, particularly dendritic cells, monocytes, and macrophages, using single-cell sequencing and computational approaches. Institution: University of Bonn Research Unit: LIMES Institute, Unit 2 (Molecular Immune & Cell Biology) His research investigates how immune cells acquire tissue-specific adaptations and functional specialization through transcriptomic and functional studies. Recent projects include spatial-omics techniques for gastrointestinal analysis and understanding macrophage heterogeneity in inflammatory contexts. Key article trends highlight innate immunity , metabolic reprogramming , developmental cell biology , and computational immunology . Awards include the Postdoktorandenpreis der Robert-Koch-Stiftung . The lab employs cutting-edge flow cytometry , in vivo assays , and multiplexed tissue imaging to map myeloid cell systems.

• Artificial Intelligence
• Autonomous Agent Systems
• Natural Language Processing
• +6 more

Dirk K.J. Heylen serves as Full Professor at the Digital Society Institute within the University of Twente, holding a dual appointment in the Human Media Interaction department. His academic profile demonstrates extensive engagement in artificial intelligence research with particular focus on human-centered applications. Research interests span Artificial Intelligence, Autonomous Agent Systems, Natural Language Processing , and Knowledge Representation , with significant applications in healthcare, well-being, and social robotics. His work bridges technical AI development with societal context considerations, particularly examining human-AI interaction patterns in daily life scenarios. Recent publications reveal strong emphasis on conversational agents, virtual human interaction, and predictive health technologies. Notable scientific recognition includes the Best Student Paper award at the 22nd ACM International Conference on Multimodal Interaction (2018). His research activities demonstrate consistent output across conferences, journals, and datasets, with particular growth in healthcare applications since 2020. Professional activities include editorial work for major conferences (ICMI 2020), organization of specialized events (Narrative Matters 2018), and hosting academic visitors. His supervised work encompasses 22 research projects and multiple datasets supporting human-AI interaction studies.

Alysia MarinoView profile

Professor

• Experimental Particle Physics
• Neutrino Physics
• Accelerator Neutrino Beams
• +2 more

Alysia Marino is a Professor and Jesse L. Mitchell Chair of Experimental Physics at the University of Colorado Boulder's Department of Physics. Her research focuses on experimental particle physics, particularly neutrino oscillations and properties using accelerator-based beams. She leads efforts in the T2K experiment (Japan), DUNE experiment (USA), and NA61/SHINE at CERN. Marino has pioneered neutrino flux predictions and cross-section measurements. She also contributes to detector design and computing infrastructure for large-scale experiments. Professional service includes roles in the American Physical Society, organizing conferences like CUWiP, and advising for the High Energy Physics Advisory Panel. Her work bridges fundamental physics questions with cutting-edge detector technology. Research emphasizes neutrino mixing parameters, CP violation, and neutrino interaction studies. Key collaborations include T2K's observation of electron neutrino appearance and DUNE's Phase II detector development. Recent technical advancements include vertex reconstruction algorithms using machine learning and radiation-tolerant diamond detectors. Outreach efforts include public lectures and educational initiatives.

• Econometrics
• Applied Financial Economics
• Business Data Analytics
• +9 more

Dr. Jen-Je Su is a Senior Lecturer in the Department of Accounting, Finance and Economics at Griffith University, affiliated with the Griffith Asia Institute and Griffith Institute for Tourism. He holds a PhD in Economics from Michigan State University and previously taught at Massey University, New Zealand. His research focuses on econometrics, applied financial economics, business analytics, economic development, and tourism economics. Key interests include cryptocurrency, asset pricing, energy economics, and sustainable development goals like affordable energy and economic growth. Dr. Su's research outputs span 77 articles, with recent works examining digital inequality impacts, stock market semibetas, tourism spillover effects, and renewable energy forecasting. He has secured grants from organizations like DFAT and the United Nations, focusing on Pacific digital economies, economic policy in developing nations, and tourism data analysis. He supervises doctoral students exploring topics like credit constraints, corporate governance risks, and tourism economics. His teaching and supervision emphasize empirical methods and policy-relevant research. Dr. Su collaborates with institutions like GHD Pty Ltd and Austrade, contributing to policy formulation and economic analysis. He is fluent in English and Mandarin, peer-reviewed in multiple journals, and active in interdisciplinary groups like the Griffith Asia Institute. His work bridges theoretical econometrics with applied policy solutions in Asia-Pacific contexts.

• Bayesian Econometrics
• Quantile Regression
• Machine Learning
• +2 more

Mohammad Arshad Rahman is an Associate Professor in the Department of Economic Sciences at IIT Kanpur. His research spans Bayesian econometrics, quantile regression, machine learning, and applied econometrics. He has held positions at Zayed University and University of California, Irvine, and currently teaches econometrics and finance courses. Education: Ph.D. Economics, University of California, Irvine (2013) M.S. Statistics, UC Irvine (2011) M.A. Economics, UC Irvine (2009) M.A. Economics, Delhi School of Economics (2006) B.Sc. Economics Hons., St. Xavier's College, Kolkata (2004) Research focuses on developing Bayesian methods for econometric problems, with applications in energy economics, finance, and social policy. Research areas include: Bayesian inference techniques, quantile regression models, machine learning applications in economics, discrete choice modeling, and time series analysis. Awards and Honors: Social Science Merit Fellowship Multiple Summer Research Fellowships All India Post-Graduate Scholarship Analyst Accolade Award

José R. ZubizarretaView profile

Professor

• Causal Inference
• Biostatistics
• Health Policy
• +3 more

José R. Zubizarreta is a Professor in the Department of Health Care Policy at Harvard Medical School, a Professor in the Department of Biostatistics at Harvard School of Public Health, and a Faculty Affiliate in the Department of Statistics at Harvard University's Faculty of Arts and Sciences. His research focuses on developing statistical methods for causal inference, particularly in healthcare and public policy contexts. He has received multiple awards, including the Kenneth Rothman Award and the Tom Ten Have Memorial Award, and is a Fellow of the American Statistical Association. He holds editorial roles at prominent journals such as the Annals of Applied Statistics and the Journal of the American Statistical Association . His work includes co-editing the Handbook of Matching and Weighting Adjustments for Causal Inference , a seminal reference in the field. Zubizarreta’s research addresses challenges in observational studies, including methods for bias reduction, generalization of results, and applications in healthcare quality measurement and policy evaluation. Notable contributions include advancements in optimal matching techniques, balancing weights, and scalable methods for analyzing large observational datasets. His collaborative projects span interdisciplinary areas such as healthcare economics, epidemiology, and machine learning applications in causal inference. Zubizarreta actively contributes to software development, including R packages like mipmatch and designmatch , which are widely used in statistical research. His academic service includes roles in editorial boards and grant review panels, reflecting his leadership in advancing statistical methodology and its applications. Zubizarreta’s work bridges theoretical rigor with practical impact, addressing pressing questions in healthcare systems and public policy.

Valeria CascioneView profile

Lecturer

• Building Physics
• Moisture Buffering
• Indoor Air Quality
• +5 more

Valeria Cascione is a Lecturer in Regenerative Design at the Department of Architecture & Civil Engineering, University of Bath, with affiliations to the Centre for Climate Adaptation & Environment Research (CAER), Centre for Bioengineering & Biomedical Technologies (CBio), Institute of Sustainability and Climate Change, and Centre for Regenerative Design & Engineering for a Net Positive World (RENEW). Her research focuses on sustainable building materials and indoor environmental quality. Education: Civil Engineering, Doctor of Philosophy (PhD), University of Bath, Award Date: 31 Mar 2021 Building Engineering and Architecture, Master in Science (MSc), Politecnico di Bari, Award Date: 15 Dec 2016 Valeria Cascione's research centers on building physics with emphasis on moisture dynamics and indoor air quality. She investigates innovative sustainable materials—particularly bio-based construction materials—to enhance hygrothermal performance and occupant health, spanning material development to life cycle assessment while addressing sustainable building design and circular economy challenges. Analysis of her 15 most recent publications (2020-2025) reveals a dominant focus on bio-based construction materials and environmental impact assessment. Over 80% of her work applies life cycle assessment (LCA) to evaluate carbon footprints of insulation and wall systems, while moisture buffering research constitutes 40% of output, linking hygrothermal properties to indoor air quality. Her studies increasingly integrate circular economy principles and address scalability barriers in real-world construction, with notable emphasis on dynamic LCA methodologies and regenerative design frameworks. Valeria Cascione has not been documented as receiving any major scientific awards or fellowships. She actively supervises doctoral students in hygrothermal performance, indoor air quality, and life cycle assessment, leading externally funded projects including: Principal Investigator (PI) : Reimagining Occupant-centred, Versatile and Efficient Retrofit (The British Academy, 2024); Returning Parents Support Grant (2023) Co-Investigator (CoI) : Innovative low-cost recyclable building materials in Egyptian local construction (The British Council, 2024-2025); InNovative Bio&geo-soUrced project (Innovate UK, 2023-2027) Valeria Cascione is a core member of the Centre for Regenerative Design & Engineering for a Net Positive World (RENEW) and Centre for Climate Adaptation & Environment Research (CAER), while serving as advisor to Global Open Air Quality Standards (GO AQS) and participating in the GW4 Air Network for collaborative air quality research.

Andrew CaplinView profile

Professor

• Cognitive Economics
• Economics of Attention
• AI and Human-AI Collaboration
• +5 more

Andrew Caplin is a Silver Professor of Economics at New York University, leading the Sloan Foundation Program on Cognitive Economics. He holds a Ph.D. from Yale University (1983) and a B.A. from Cambridge University (1978), both in Economics. His research focuses on cognitive economics, exploring decision-making processes, AI-human collaboration, and their implications for policy and business. Caplin's groundbreaking work includes authoring An Introduction to Cognitive Economics: The Science of Mistakes , which establishes cognitive economics as an interdisciplinary field analyzing decision errors and their societal impacts. His research spans topics such as economic fluctuations, housing market design, and the cognitive economy’s labor market transformation. Caplin’s recent studies emphasize clear communication protocols to reduce decision-making errors, evidenced by his work in Mexican labor courts where indexed case files halved successful appeals. He also pioneers equity-sharing mortgages through Genrae, aiming to revolutionize housing finance. His Copenhagen Life Panel study tracks career trajectories and earnings resilience in the cognitive economy, while his Accelerator for Cognitive Economics initiative promotes interdisciplinary research and education. Caplin’s work bridges academia and practice, influencing policy through frameworks like clarity-by-design for legal and financial disclosures. His research collaborations include studies on subjective earnings risk, worker productivity, and the role of AI in shaping career adaptability. He advocates for educational reforms to teach decision-making skills, emphasizing calibration and proper scoring rules. Caplin’s contributions span theoretical advancements, empirical studies, and practical applications, positioning him as a leader in redefining economics in an AI-driven world.

Dan LubmanView profile

Professor

• Addiction Studies
• Substance Use Disorders
• Mental Health
• +7 more

Professor Dan Lubman is a leading academic in addiction studies at Monash University, serving as Director of Turning Point and the inaugural Director of the Monash Addiction Research Centre. His work focuses on substance use disorders, gambling addiction, and mental health comorbidities. He holds a Professorship in Addiction Studies and Services within the Eastern Health Clinical School. Key research interests include neurobiology of addiction, adolescent brain development impacts, and school-based interventions. He has published over 500 peer-reviewed works and led major projects like the OLAM trial for methamphetamine withdrawal and the MTL school program for substance use help-seeking. Recipient of prestigious awards including the APSAD Senior Scientist Award (2017) and Member of the Order of Australia (2021). He advises government committees and chairs expert panels on addiction psychiatry. Current projects address opioid policy, helpline peer navigation, and digital health strategies.

Animesh AnimeshView profile

Associate Professor

• Online Advertising
• Social Media Analytics
• Digital Commerce
• +2 more

Animesh Animesh is an Associate Professor and Area Coordinator of Information Systems at McGill University's Desautels Faculty of Management. His research examines the economic and strategic impacts of digital technologies, with focus areas including online advertising, social media analytics, platform ecosystems, and sustainable business models. Animesh's work combines econometric analysis with large-scale data to investigate how digital innovations transform business practices. Recent studies explore AI hallucination detection, open government data economics, and sustainability communication strategies. His research on software patents has influenced understanding of innovation management in competitive IT markets. Animesh maintains industry partnerships through the McGill Dobson Centre for Entrepreneurship.

Allan Collard-WexlerView profile

Professor

• Industrial Organization
• Econometrics
• Game Theory
• +4 more

Allan Collard-Wexler is a Professor of Economics at Duke University, affiliated with the Department of Economics within the Trinity College of Arts & Sciences. He holds a Ph.D. from Northwestern University (2007). His research focuses on empirical industrial organization, dynamic games, market power, and resource allocation. He has contributed to influential studies on topics such as oil industry misallocation, steel industry productivity, and electricity shortages in India. Collard-Wexler has received the Excellence in Refereeing Award from the American Economic Review multiple times (2009, 2010, 2011, 2013) and serves as Co-Editor of the RAND Journal of Economics . He teaches courses like Market Power and Public Policy at Duke and has advised numerous graduate students, many of whom now work in academia, government, and industry. His research has been featured in media outlets, including discussions on technology-driven industry changes and OPEC's impact on global markets. Education: Ph.D. in Economics, Northwestern University (2007) His research interests span industrial organization, econometrics, and game theory. Key topics include the welfare implications of market power, dynamic input adjustments, and the economic effects of mergers in two-sided markets. He has led grants funded by the National Science Foundation, focusing on market power and resource allocation. Collard-Wexler’s work integrates theoretical models with empirical analysis to address real-world economic challenges, particularly in energy, manufacturing, and regulatory policy. He maintains active roles in professional service, including editorial positions and participation in the National Bureau of Economic Research (NBER). His advising record reflects a commitment to mentoring scholars across various stages of academic and professional development.

Anna ReifferView profile

Lecturer

• Activity-based modelling
• Time-use and activity patterns
• Commercial transport
• +3 more

Dr. Anna Reiffer is a Lecturer at the Department of Civil, Environmental and Geomatic Engineering at ETH Zürich, affiliated with the Institute for Transport Planning and Systems (IVT). She holds a PhD in Civil Engineering (Karlsruhe Institute of Technology, 2024), an MSc in Mobility and Infrastructure (KIT, 2017), and a BSc in Civil Engineering (KIT, 2015). Her research focuses on activity-based modeling, commercial transport dynamics, and the interplay between travel behavior and health. Key projects include the FRESH initiative exploring the freight-shopping nexus in urban areas. Professional experience includes a postdoctoral role at ETH Zürich (2024–present) and research roles at KIT (2017–2024), with a visiting position at the University of Leeds (2022). Her work integrates agent-based models to simulate travel demand and parcel delivery systems, addressing challenges like e-commerce logistics and pandemic-driven telework trends. Teaching contributions include the course 'Transport Planning (Transportation I)'. Research interests span urban freight systems, sustainable mobility, and the application of data-driven methods to transportation policy.

Uli SattlerView profile

Professor

• Description Logics
• Automated Reasoning
• Ontology Engineering
• +4 more

Uli Sattler is a Professor in the Computer Science Department at the University of Manchester, specializing in logics for knowledge representation and automated deduction. He holds a PhD from RWTH Aachen (1998) and a habilitation from TU Dresden (2003). His research focuses on Description Logics, ontology engineering, and their applications in fields like molecular biology. He contributes to ontology languages such as OWL and develops practical inference algorithms. Research Interests: Description Logics, automated reasoning, ontology engineering, and their integration with AI systems. His work addresses challenges like module extraction, entailment explanation, and decision procedures using automata and tableau techniques. Awards: Best Paper Award (2008) ISWC Best Student Paper Award (2011) SWSA Ten-Year Award (2018) Advising & Grants: Supervised 17 students and participated in initiatives like Gender Advancement through Transforming Institutions. Active in organizing conferences and peer-review panels. Labs/Teams: Part of the Information Management Group and the Data Science Institute at the University of Manchester.