جست‌وجوی استاد و پژوهشگر

Carl Driesenerمشاهده پروفایل

دانشیار

• Buyer Behaviour
• Market Modelling
• Brand Equity
• +۷ مورد دیگر

Carl Driesener is an Associate Professor and Senior Marketing Scientist at the Ehrenberg-Bass Institute for Marketing Science, where he has worked for over 15 years. He leads the Institute’s in-house tracking capabilities and conducts bespoke market research across industries including packaged goods, financial services, IT, telecommunications, real estate, and the wine market in China. His research focuses on buyer behaviour, market modelling, and internet research, with a strong emphasis on empirical generalisations in marketing. Carl’s research interests centre on buyer behaviour , brand equity , mental availability , and the application of the NBD-Dirichlet model and Duplication of Purchase analysis. He investigates how brands compete, grow, and decline using rigorous empirical methods. His work explores brand image measurement, consumer loyalty, and the impact of media and nostalgia on purchasing decisions. He has made significant contributions to understanding how consumers perceive country-of-origin effects, particularly in the Chinese wine market. His recent publications (2018–2023) reflect a strong trend in cross-cultural consumer behaviour , marketing analytics , and empirical modelling . Themes include mental availability, brand loyalty across categories, ageism in branding, and the use of advanced statistical models like the Poisson log-normal and Dirichlet. His work frequently applies marketing laws to digital and cultural contexts, including music consumption and social media integration. Scientific Awards: Best Paper Award, International Symposium on Marketing (2007) Carl has not publicly listed advisees, but his extensive collaboration with leading marketing scientists such as Byron Sharp, Jenni Romaniuk, and Zorka Anesbury suggests active mentorship and team-based research. He has contributed to major projects on brand loyalty, market structure, and consumer repertoire analysis. While no specific grants are listed, his ongoing publication output and leadership in large-scale research initiatives indicate sustained funding and institutional support. He is a key contributor to the Ehrenberg-Bass Institute’s mission of advancing evidence-based marketing science. Carl is involved in a research team focused on marketing science , brand tracking , and consumer data analytics at the Ehrenberg-Bass Institute. This team applies mathematical models to real-world marketing problems, working with global clients and publishing in top academic journals. Their work is foundational to modern brand management and category growth strategies.

Shibashis Guhaمشاهده پروفایل

دانشیار

• Formal Methods
• Logic in Computer Science
• Automata Theory
• +۱۲ مورد دیگر

Shibashis Guha is an Associate Professor (Reader) at the School of Technology and Computer Science, Tata Institute of Fundamental Research (TIFR), where he conducts research and teaches in formal methods, logic, automata theory, and verification. His work focuses on reactive controller synthesis, probabilistic systems, timed automata, and the integration of machine learning with formal verification. Institution: Tata Institute of Fundamental Research School: School of Technology and Computer Science Department: Department of Computer Science Academic Rank: Associate Professor His research interests span formal methods, logic in computer science, automata theory, probabilistic systems, algorithmic game theory, and reinforcement learning. He investigates the synthesis of reactive controllers, behavioral equivalences, and the application of learning in verification. His work often intersects with infinite games and descriptive complexity. The recent publications highlight a strong trend in stochastic games, mean-payoff objectives, window properties, probabilistic model checking, and the synthesis of controllers under logical specifications. There is a clear emphasis on bridging formal methods with learning, especially in continuous-time and probabilistic settings. Scientific Awards: Best paper award at MFCS 2021 Guha advises several students and collaborates widely across institutions. His research is funded by the DST-SERB project on zero-sum and nonzero-sum games for controller synthesis. He has served on program committees for major conferences including CAV, ATVA, CONCUR, LICS, and VMCAI, and has organized workshops such as iVerif. He teaches advanced graduate courses like Automata and Computability, Descriptive Complexity, and Automata, Verification, and Infinite Games. He is actively involved in the research community, delivering invited talks at institutions like IST Austria, ENS Paris-Saclay, and Indian Statistical Institute. He also leads seminar series and participates in panels on AI and verification.

Angelos Alexopoulosمشاهده پروفایل

استادیار

• Theoretical and Applied Econometrics
• Bayesian Analysis
• Computational Statistics
• +۴ مورد دیگر

Angelos Alexopoulos is an Assistant Professor at the Department of Economics , Athens University of Economics and Business . He has held Research Associate positions at the University of Cambridge, University College London, and University of Exeter in the UK. PhD: Athens University of Economics and Business Research Focus: Computational Statistics, Econometrics, Bayesian Analysis, Network Modelling Publications span Bayesian inference, epidemic forecasting, machine learning for fraud detection, and econometric methodology. Key journals include Journal of the Royal Statistical Society , Journal of Computational and Graphical Statistics , and Statistics and Computing . 2024: Gaussian invariance in MCMC 2024: Epidemic nowcasting models 2023: VAT fraud detection with ML Awards include certifications in Deep Learning (Coursera), Blockchain (edX), and Object-Oriented R Programming (DataCamp).

• Pharmacy education
• Pharmacy practice
• Educational research
• +۴ مورد دیگر

Ruth Edwards is a Professor of Pharmacy Education and Head of the School of Pharmacy at the University of Wolverhampton , within the Faculty of Science and Engineering . She is a registered pharmacist and educator with expertise in pharmacy education, qualitative research, and person-centred care. Qualifications: BSc(Hons) Pharmacy (Robert Gordon Institute of Technology, Aberdeen), MSc Clinical Pharmacy (Robert Gordon University), PgCert Tertiary Level Teaching (Robert Gordon University), EdD (University of Stirling) Leadership Roles: Member of the Royal Pharmaceutical Society (MRPharmS), Fellow of the Faculty of the Royal Pharmaceutical Society (FFRPS), Registrant of the General Pharmaceutical Council (GPhC), Principal Fellow of the Higher Education Academy (PFHEA) Her research focuses on creativity in pharmacy education , education for mental health , consultation skills , and reflective practice . Recent publications explore art-based analysis of student learning, patient-carer curriculum involvement, and mental health education in pharmacy programs. She has authored books on minor illness management and qualitative research applications in pharmacy. Scientific Awards: Principal Fellow of the Higher Education Academy (PFHEA) Fellow of the Faculty of the Royal Pharmaceutical Society (FFRPS) Industry Experience: Team Leader (Accreditation and Recognition Panel), General Pharmaceutical Council Royal Pharmaceutical Society Assembly member International Pharmacy Federation (FIP) working group participant Associate Editor for Pharmacy Education journal

Ahmad Hadaviمشاهده پروفایل

استاد بالینی

• Metaverse
• Virtual Reality
• Augmented Reality
• +۶ مورد دیگر

Dr. Ahmad Hadavi is a Clinical Professor in the Department of Civil and Environmental Engineering at Northwestern University's McCormick School of Engineering, serving as Deputy Director of the Master of Project Management Program. His academic credentials include a Ph.D. in Civil Engineering from Northwestern University, an MBA from the Harvard-affiliated Iran Center for Management Studies, and a B.S. in Civil Engineering from Iran University of Science and Technology. His research explores: Metaverse applications in Architecture, Engineering and Construction (AEC) Virtual/Augmented/Mixed Reality implementation Innovative construction methods and Lean principles International construction practices and productivity enhancement Advanced project control methodologies Dr. Hadavi teaches 'CIV_ENV 336: Project Scheduling' and 'CIV_ENV 435: Cost Engineering and Control'. His extensive professional service includes ABET program evaluation for civil engineering and construction management programs, ACCET accreditation panels, textbook reviews, and NSF review panels for STEM education initiatives. His publications demonstrate consistent focus on integrating emerging technologies like AI, XR, and BIM into construction workflows, with recent emphasis on metaverse applications and lean-digital synergies.

Joseph Antonelliمشاهده پروفایل

استادیار

• Causal Inference
• High-Dimensional Modeling
• Bayesian Methods
• +۳ مورد دیگر

Joseph Antonelli is an Assistant Professor of Statistics at the University of Florida , where he has been since 2018. He holds a PhD in Biostatistics from Harvard University (2015) and completed postdoctoral training there until 2018. His research focuses on causal inference, high-dimensional modeling, Bayesian methods, spatial statistics, and applications in environmental health and criminology. Education: B.S. in Statistics, University of Florida (2011) M.S. in Biostatistics, Harvard University (2013) Ph.D. in Biostatistics, Harvard University (2015) Research Interests: Professor Antonelli develops statistical methods to address complex causal questions in health and social sciences. His work emphasizes robust approaches to confounding adjustment, spatial and environmental data analysis, and policy evaluation. He applies these methods to study air pollution effects, policing policies, and opioid policy impacts, bridging theoretical advancements with real-world applications. Key Contributions: His articles span causal inference techniques, Bayesian modeling, and spatial analysis, with recent work addressing racial bias in policing and air pollution mixtures. His research has been recognized with awards from the Health Effects Institute, JSM Biometrics, and ISBA. Awards: 2020 Health Effects Institute Young Investigator Award 2020 Journal of Speech, Language, and Hearing Research Editors Award 2014 ENAR Distinguished Student Paper Award Advising and Grants: He advises over 15 graduate students and has led grants totaling $3.5M, including NIH funding for auditory deficits in children and CDC studies on firearm policy effects. He also serves as Associate Editor for Bayesian Analysis .

John Lindoمشاهده پروفایل

دانشیار

• Ancient DNA Research
• Population Genetics
• Pathogen-Host Interactions
• +۴ مورد دیگر

John Lindo is an Associate Professor in the Department of Anthropology at Emory University, with affiliate roles in the Program in Population Biology, Ecology and Evolution, and the Program in Genetics and Molecular Biology. His research focuses on ancient DNA, population genetics, and human adaptation, particularly in the Americas. He holds a J.D. from Boston College Law School and a B.S. in Chemistry from the University of Virginia, alongside advanced degrees in Anthropology from the University of Pennsylvania and University of Illinois. Lindo’s lab integrates molecular and computational methods to study genetic responses to environmental changes, colonization impacts, and pathogen interactions. His grants include an NSF CAREER Award and an MP3 Seed Grant exploring genetic traits related to disease resistance. Key research themes include high-altitude adaptation in Andean populations, the genetic legacy of pre-Columbian civilizations, and the effects of European contact on Indigenous genetics. Lindo has authored over 30 peer-reviewed publications and serves on review panels for the National Science Foundation and National Geographic Society. He actively promotes diversity in STEM through initiatives like the Summer Internship for Indigenous Peoples in Genomics (SING) and BLIS (Black and LatinX in STEM). Education: Postdoctoral Scholar at University of Chicago, PhD from University of Illinois, MA from University of Pennsylvania Grants: NSF CAREER Award ($600k), MP3 Seed Grant ($300k) Awards: National Academy of Sciences Kavli Fellow (2019)

Stéphane Bonhommeمشاهده پروفایل

استاد

• Microeconometrics
• Econometric Theory
• Labour Economics
• +۳ مورد دیگر

Stéphane Bonhomme is the Ann L. and Lawrence B. Buttenwieser Professor of Economics and the College at the University of Chicago's Kenneth C. Griffin Department of Economics. His research focuses on microeconometrics, econometric theory, and labor economics, with emphasis on latent variable modeling and panel data analysis. He holds a PhD from the University of Paris I, Panthéon-Sorbonne (2005). Key contributions include methodologies for handling unobserved heterogeneity in panel data, nonlinear persistence in consumption dynamics, and bias reduction in econometric models. His work has been published in top journals like Econometrica, Journal of Econometrics, and the Journal of Political Economy. Recent research explores grouped patterns of heterogeneity, firm-worker sorting effects, and functional differencing in networks. He is a Fellow of the Econometric Society (2017) and has developed widely used Stata/Python packages for bias correction and discrete heterogeneity estimation.

Ashesh Rambachanمشاهده پروفایل

استادیار

• Econometrics
• Machine Learning Applications in Economics
• Causal Inference
• +۲ مورد دیگر

Ashesh Rambachan serves as Assistant Professor of Economics at the Massachusetts Institute of Technology (MIT), with a visiting appointment at Stanford University's Department of Economics and SIEPR for the 2025-2026 academic year. His primary institutional affiliation remains MIT's Department of Economics. His research program integrates econometric theory with machine learning to advance causal inference methodologies, particularly in quasi-experimental designs and observational data analysis. Key focus areas include algorithmic fairness, structural model robustness, and the application of foundation models to economic problems. This interdisciplinary approach bridges theoretical econometrics with real-world policy evaluation challenges. Analysis of his publication trajectory reveals increasing engagement with AI-driven methodologies since 2020, marked by a shift toward foundation models and large language models in economic contexts. His work consistently addresses credibility gaps in causal estimation while expanding into behavioral economics and algorithmic decision-making frameworks, reflecting evolving priorities in computational social science. Scientific recognition includes: NeurIPS 2024 Spotlight Paper for "Evaluating the World Model Implicit in a Generative Model" No explicit details regarding student advising, grant funding, or laboratory affiliations appear in current public records. His teaching portfolio includes MIT PhD courses on Algorithms and Behavioral Science (14.163) and Statistical Methods in Economics (14.380), alongside undergraduate instruction in Algorithmic and Human Decision-Making (S.6041).

George Loewensteinمشاهده پروفایل

استاد

• Behavioral Economics
• Neuroeconomics
• Psychology
• +۹ مورد دیگر

George Loewenstein is the Herbert A. Simon University Professor of Economics and Psychology at Carnegie Mellon University (CMU), affiliated with the Dietrich College of Humanities and Social Sciences. He holds visiting professorships at the London School of Economics, Arctic University of Norway, and BRIQ Institute at the University of Bonn. His research bridges psychology and economics, focusing on behavioral economics, neuroeconomics, decision-making processes, and policy applications like libertarian paternalism. He has advised governmental bodies (e.g., NIH, USDA) and corporations, contributed to over 300 journal articles, and served on multiple National Academy of Sciences panels. Education: Ph.D. in Economics from Yale University (1985). Research interests include curiosity, mental effort, intertemporal choice, health economics, and conflict of interest. He pioneered fields like behavioral economics and neuroeconomics, advocating for evidence-based public policies. Scientific contributions span behavioral interventions, health policy, and environmental decision-making. Awards include American Academy of Arts and Sciences fellowship and Society for Judgment and Decision Making presidency. Teaching and advising: Over 40 doctoral committees chaired, taught globally in behavioral economics. Active in centers like the Center for Behavioral Decision Research. Key areas of applied work include vaccine promotion, climate change adaptation, and privacy behaviors.

• Educational Research
• Multilingualism
• Qualitative Methods
• +۳ مورد دیگر

Prof. Dr. Dr. h.c. mult. Ingrid Gogolin is a Professor at the University of Hamburg's Faculty of Education, leading the Department of General, Intercultural and International Comparative Education. She directs the Research Center 'Literacy in Diversity Settings (LiDS)' and co-leads the 'DivER' working group on intercultural education and multilingualism. Her career includes presidencies of WERA and EERA, and honorary doctorates from TU Dortmund and the University of Athens. Research focuses on multilingualism, educational equity, and qualitative methods. Education: Doctorate (Dr. Phil.) in Hamburg (1987) Habilitation in Educational Science (1991) Leadership roles in global education associations (WERA, EERA) Research Interests: Linguistic education and multilingualism in schools Evaluation of bilingual programs and migrant education Social inequalities in education Language policy and pedagogical innovation Publications: Recent work addresses multilingual development, digital literacy, and refugee education. Key themes include language in STEM, socioemotional adaptability, and policy responses to displacement. Awards: 2013: Honorary Doctorate from TU Dortmund 2017: Honorary Doctorate from National and Kapodistrian University of Athens Leadership in WERA/EERA Advising/Grants: Leads MEZ-2, PHYDIV, and Next Generation Literacies projects. Collaborates internationally on multilingualism research and policy. Active in tutoring initiatives like 'Tutoring for All.' Labs/Teams: Spokesperson for LiDS and DivER. Involved in PHYDIV (physics education) and MEZ (longitudinal multilingualism studies).

Pauline Jacobsonمشاهده پروفایل

استاد

• Formal Semantics
• Syntax-Semantics Interface
• Natural Language Semantics
• +۳ مورد دیگر

Pauline Jacobson is a Professor of Linguistics at Brown University, where she has served since 1975. Her research focuses on formal semantics, particularly the syntax-semantics interface, advocating for direct compositionality and variable-free semantics. She has held visiting positions at Ohio State, Harvard, and other institutions, and has contributed to summer institutes in linguistics worldwide. She earned her BA in Anthropology (1968) and PhD in Linguistics (1977) from UC Berkeley. Her work emphasizes eliminating intermediate levels like 'Logical Form' and explores phenomena such as negation, ellipsis, and binding within a variable-free framework. Prof. Jacobson has served as editor-in-chief of Linguistics and Philosophy , chaired panels for NSF and Fulbright, and participates in editorial boards. Her research trends reflect a sustained engagement with syntactic and semantic compositionality, challenging traditional assumptions about linguistic structure. Her advising and grants include teaching both undergraduate and graduate courses on syntax, semantics, and pragmatics. She is affiliated with Brown’s Department of Linguistics and has contributed to interdisciplinary initiatives in formal linguistics and cognitive science.

Arman Oganisianمشاهده پروفایل

استادیار

• Bayesian Statistics
• Causal Inference
• Missing Data
• +۴ مورد دیگر

Arman Oganisian is an Assistant Professor of Biostatistics at Brown University, holding the Thomas J. & Alice M. Tisch Professorship. He earned his PhD in Biostatistics from the University of Pennsylvania (2021), and prior degrees from the same institution (MS, 2018) and Providence College (BA, 2013). His research focuses on Bayesian nonparametric methods for causal inference in sequential treatment strategies, particularly in diseases requiring long-term management like oncology and HIV. Research & Grants: His work is funded by PCORI contracts for Bayesian methods in sequential treatments (AML leukemia) and incomplete covariates. Notable grants include NIH R01 awards for HIV care cascade analysis and osteoporosis pharmacotherapy. He develops tools like the causalBETA R package for survival outcome causal inference. Awards: Salomon Faculty Research Award (2022), Saul Winegrad Dissertation Award (2021), ENAR Student Paper Award (2020). Teaching: Leads courses on Bayesian methods and statistical inference at Brown. Service: Serves on NIH review panels, PCORI, and academic committees, including Brown’s MPH admissions. Labs & Collaboration: Engages in collaborative projects on Bayesian causal modeling and nonparametric methods, with a focus on healthcare applications in oncology and rheumatology.

• Workforce Development
• Construction Education Technology
• Building Information Modeling (BIM)
• +۳ مورد دیگر

Dr. Jason D. Lucas is an Associate Professor and Undergraduate Program Director in the Nieri Department of Construction and Real Estate Development at Clemson University's College of Architecture, Art and Construction. His academic roles include teaching, research, and service leadership in construction education and industry partnerships. Education: Ph.D. in Environmental Design and Planning (Virginia Tech, 2012); M.S. in Building Construction (Virginia Tech, 2008); B.Arch (New Jersey Institute of Technology, 2004). Professional experience includes roles in architecture, construction management, and public sector infrastructure projects. Research focuses on workforce development, BIM lifecycle integration, construction safety, and residential construction efficiency. Notable projects include the Roofing Industry Center (Roofing Alliance Grant) and HablaSeguro safety app development (Jobsite Safety Institute). He advises Clemson’s NAHB student chapter and leads the AIC Publications Committee. Key awards include the AIC Award (2015) and multiple grants from industry organizations. Grants total over $1.2M, focusing on workforce training, safety innovation, and BIM applications. Active in professional roles like NSF panel reviews and journal editing. Teaching spans residential construction management, emerging technologies, and critical thinking. Courses emphasize experiential learning and technology integration. Service includes leadership in university curriculum committees, bylaws drafting, and interdisciplinary initiatives like drone program development.

• Environmental Engineering
• Thermal Systems
• Energy Efficiency
• +۳ مورد دیگر

Artur Cebula is an Associate Professor at the Department of Energy, AGH University of Science and Technology. He holds a BEng, PhD, and DSc in relevant fields. His research focuses on thermal systems, energy efficiency, and environmental engineering, with particular expertise in CO2 capture, photovoltaic/thermal integration, and boiler technology. He has published extensively on heat transfer, renewable energy systems, and industrial emissions control. His work combines experimental and computational methods to address energy challenges. Research interests include advanced energy systems, thermal modeling, and sustainable technologies. His publications highlight innovations in PV/T systems, supercritical boilers, and CO2 capture mechanisms. He collaborates on projects involving waste heat utilization and low-temperature refrigeration systems. While no specific awards are listed, his h-index (12/Scopus, 11/WoS) reflects impactful contributions. He has supervised 2 promoted theses, contributing to academic mentorship in energy engineering.