جستجوی استاد راهنمای دانشگاهی

Scott Baileyمشاهده پروفایل

استاد

• CRISPR-Cas
• Structural Biology
• Protein-Nucleic Acid Interaction
• +۵ مورد دیگر

Scott Bailey, PhD, is a Professor in the Department of Biochemistry and Molecular Biology at Johns Hopkins University, with joint affiliations in the School of Medicine and the Bloomberg School of Public Health. His research focuses on the structural and mechanistic basis of CRISPR-Cas systems and protein-nucleic acid interactions. Education: BSc, University of Sheffield, 1998 PhD, University of Sheffield, 2002 Dr. Bailey’s research centers on understanding how molecular machines recognize and modify nucleic acids, with an emphasis on CRISPR-mediated immunity. Using X-ray crystallography, his lab determines high-resolution structures of CRISPR complexes at various functional stages to derive mechanistic models. These models are tested through mutagenesis and biochemical assays to link structure with function. His work has elucidated mechanisms of Cas9, Type III-B, and Type V systems, contributing significantly to the field of genome editing. Recent publications highlight advancements in Cas9 engineering, genome imaging techniques, and the structural basis of CRISPR targeting. His research has broad implications for biotechnology and therapeutic development. Trends across his articles show a sustained focus on CRISPR mechanisms, structural biology, and nucleic acid biochemistry, with increasing applications in proteomics and imaging. Scientific Awards: Johns Hopkins Presidents Frontier Award - Winner (February 2016) Johns Hopkins Presidents Frontier Award - Finalist (January 2015) Shikani/El Hibri Prize for Discovery and Innovation - JHSPH (February 2015) Ho-Ching Yang Memorial Faculty Award - JHSPH (May 2010) Dr. Bailey advises graduate students and postdoctoral researchers in the Molecular Biophysics and Biochemistry programs. His lab has been supported by competitive grants, including the Johns Hopkins Discovery Awards (2020). He teaches advanced courses in molecular biology and gene editing, contributing to both PhD and Master’s level training. The Bailey Lab is an active research group that integrates structural biology, biochemistry, and molecular genetics to dissect CRISPR mechanisms. The team includes PhD students, postdoctoral fellows, and research staff who collaborate on projects spanning structural determination, functional assays, and novel method development.

Mogens Fosgerauمشاهده پروفایل

استاد

• Transport Economics
• Discrete Choice Modeling
• Travel Behavior
• +۷ مورد دیگر

Mogens Fosgerau is a Professor in the Department of Technology, Management and Economics at the Technical University of Denmark (DTU), where he conducts research in transport policy and transportation science. His work spans econometrics, travel behavior modeling, and transport economics, contributing to sustainable urban mobility and policy design. Institution: Technical University of Denmark Department: Department of Technology, Management and Economics Email: mogens.fosgerau@econ.ku.dk ORCID: https://orcid.org/0000-0002-6452-5215 His research focuses on discrete choice modeling, travel time valuation, scheduling preferences, and congestion pricing. He develops theoretical and empirical models to understand how individuals make travel decisions under uncertainty and how these behaviors affect urban transport systems. His work integrates economic theory with data-driven methods, often using large-scale datasets and advanced econometric techniques. The recent trend in his publications highlights innovations in perturbed utility models for route choice, stochastic traffic assignment, and the analysis of induced demand for cycling. His research bridges transportation science, behavioral economics, and operations research, with applications in urban planning and policy evaluation. Scientific awards received include: The International Choice Modeling Conference (ICMC) award for Most Innovative Application (2022) Best Overall Paper Award, ITEA Conference (2015) Best Paper Awards from BIVEC-GIVET (2007), Kuhmo-Nectar (2008) Hedorfs Fonds Pris for Transportforskning (2011) Mogens Fosgerau has supervised PhD students such as Fentie Abegaz and has been involved in multiple externally funded research projects, including URBAN (Innovation Fund Denmark), IRUC (Danish Council for Strategic Research), and Horizon 2020 initiatives. He has also served on review panels, including for the Norwegian Research Council, and contributed to peer review and editorial duties. He is actively engaged in research networks and has presented his work at international conferences. His projects often involve interdisciplinary collaboration with researchers in economics, engineering, and urban planning.

• Synthetic Organic Chemistry
• Photochemistry
• Bioorganic Chemistry
• +۵ مورد دیگر

David Aitken is a Professor of Organic Chemistry at the Institute of Molecular Chemistry and Materials of Orsay (ICMMO - UMR 8182) , University of Paris-Saclay. His research focuses on synthetic methodology , photochemistry , and the preparation of bioactive molecular scaffolds . He studied Chemistry at the University of Strathclyde (BSc 1983, PhD 1986), followed by a CNRS Researcher position at the University of Paris 5 before becoming a Professor at the University of Clermont-Ferrand 2 in 1998. Since 2006, he has led his research group at Orsay and currently serves as Director of ICMMO . Education : BSc and PhD in Chemistry (University of Strathclyde, Scotland) Research Interests : Synthetic methodology, photochemical transformations, hydrogen bonding in peptides, conformational control, and biologically relevant molecules Methodologies : Photochemistry, organocatalysis, tandem reactions, stereoselective synthesis, and computational modeling Structural Analysis : Hydrogen bonding, helical folding, and non-covalent interactions using spectroscopy and molecular modeling Current Role : Director of ICMMO research institute His recent publications highlight innovations in peptide helical folding , cyclobutane and cyclopropane synthesis , and enantioselective catalytic reactions . His work bridges organic synthesis with biological applications, particularly in protein interaction inhibitors and insulin-sensitizing molecules .

Nele Mentensمشاهده پروفایل

استاد

• Applied Cryptography
• Hardware Security
• Secure Coprocessor Design
• +۱۲ مورد دیگر

Nele Mentens is a full professor at both KU Leuven and Leiden University, where she leads cutting-edge research in applied cryptography, hardware security, and secure embedded systems. At KU Leuven, she is affiliated with the Faculty of Engineering Technology and the Electrical Engineering Department (ESAT), leading the Emerging Technologies, Systems & Security (ES&S) research group at the Diepenbeek campus. Simultaneously, she holds a full professorship at Leiden University’s Leiden Institute of Advanced Computer Science (LIACS), focusing on applied cryptography and security. She has been instrumental in numerous national and international research initiatives, including Horizon Europe and NWO-funded projects. Full Professor, KU Leuven (since 2023) Full Professor, Leiden University (since 2020) Associate Professor, KU Leuven (2014–2023) Post-doctoral Researcher & Lecturer, KHLim / KU Leuven (2007–2014) Ph.D. in Engineering Science, KU Leuven (2007) M.Sc. in Electrical Engineering, KU Leuven (2003) Her research focuses on secure and efficient hardware design, particularly for cryptographic applications on FPGAs, reconfigurable architectures, IoT security, and neuromorphic computing. She explores physical attack resistance, side-channel analysis protection, and trusted computing architectures, with applications in healthcare, industrial monitoring, and endpoint AI. Her work bridges theoretical cryptography with practical hardware implementations, emphasizing energy efficiency and real-time performance. The 15 most recent publications reflect a strong trend toward secure, energy-efficient, and intelligent embedded systems. Topics include neuromorphic AI accelerators, trusted IoT architectures, dynamic reconfiguration for side-channel protection, and secure medical data processing. These works span disciplines such as computer architecture, cybersecurity, digital design, and embedded systems, with a focus on hardware-software co-design and real-world deployment. Nele Mentens has received recognition for her contributions, including: Best Paper Award, DATE'16 Best Paper Nomination, AsianHOST'17 Best Paper Award, CHES'19 She has supervised over 15 Ph.D. students and post-docs, both current and former, and has served as principal investigator in approximately 25 funded research projects. Her work has attracted significant grants from Horizon Europe, NWO, FWO, and national innovation programs. She actively contributes to the academic community through editorial roles in top journals and leadership in major conferences. Nele Mentens leads the ES&S research group at KU Leuven and collaborates closely with LIACS at Leiden University. Her team includes Ph.D. students, post-docs, and research experts working on projects like NimbleAI, NeuroSoC, and TrustedIoT. She has also established secure electronics labs through infrastructure grants and maintains strong international ties with institutions such as EPFL, Ruhr University Bochum, and ETH Zurich.

• Aeroacoustics
• Computational Fluid Dynamics (CFD)
• Fluid Dynamics
• +۶ مورد دیگر

Renzo Arina is a Tenured Associate Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin . His academic career spans decades of contributions to Aeroacoustics and Computational Fluid Dynamics (CFD) . Research Interests : Numerical simulation of flow-induced noise Drag reduction techniques for vehicle optimization Computational methods for aeroacoustic modeling Boundary layer dynamics and separation control Research Projects : Erasmus Mundus Master in Aeroacoustics (2024–2025): Member of research group Aerodynamic Optimization of Vehicles (2016): Scientific Director for industrial efficiency Detailed Numerical Modeling of Airborne Sound Field (2013–2016): EU-funded research Discontinuous Galerkin Method for Aeroacoustics (2010–2012): National PRIN project Advising : Supervises PhD candidates Daniele Fabbri (Mechanical Engineering, 2023–ongoing) and Francesco Bellelli (Aerospace Engineering, 2022–ongoing) Labs & Teams : Member of the Boundary Layer Flow, Separation and Control research group at DIMEAS

Bettina Hannoverمشاهده پروفایل

استاد

• Educational Psychology
• Social Psychology
• Gender and Education
• +۱۱ مورد دیگر

Bettina Hannover is a Professor of Research on Schools and Teaching at Freie Universität Berlin within the Department of Education and Psychology, Division of School and Teaching Research. She has held this position since 2002 and has been a leading figure in educational and social psychology in Germany. Her research interests span Educational Psychology , Self and Identity , Gender and Education , Stereotype Threat , Teacher Education , and the Integration of Migrant and Refugee Students . She has developed a cognitive model of the self and investigates how social and cultural contexts shape identity and educational outcomes. The recent publications reflect a strong focus on stereotype threat , identity development , peer relationships , and gender dynamics in educational settings. Her work combines experimental, longitudinal, and intervention-based approaches, often in collaboration with national and international partners. She has received significant recognition, including the Heisenberg Scholarship from the German Science Foundation. Heisenberg Scholarship, German Science Foundation (1995) Bettina Hannover has led numerous funded research projects and advised on educational policy through her work with the Aktionsrat Bildung . She has also been active in academic governance, serving on editorial boards, selection committees for major prizes, and scientific advisory councils. Her work bridges basic research and applied educational interventions, particularly in promoting equity and inclusion in schools. She leads research on teacher competencies, evidence-based teaching (e.g., K2teach project), and the social integration of diverse student populations. Her lab and team focus on experimental and longitudinal studies in real-world school contexts, often involving large-scale data collection and intervention evaluations.

• CO2 Electrolysis
• Heterogeneous Catalysis
• Sustainable Chemistry
• +۳ مورد دیگر

Matthew Kanan is a Professor in the Department of Chemistry at Stanford University, teaching core courses including CHEM 31E: Chemical Foundations and 21st Century Problems (Autumn) and CHEM 121: Understanding the Natural and Unnatural World through Chemistry (Spring). He actively mentors students through year-round independent studies (CHEM 90, CHEM 190) and research programs (MATSCI 300, CHEM 301, CHEM 200). His research pioneers sustainable solutions for carbon management, focusing on electrochemical CO 2 reduction, catalyst development for reverse water-gas shift reactions, and novel carbon capture technologies. Key innovations include carbonate-promoted carboxylation processes, membrane-free electrochemical systems for acid-base production, and metamaterial reactor designs for energy-efficient thermochemical conversion. His work bridges fundamental electrochemistry with scalable engineering for carbon-neutral chemical synthesis. Recent publications (2023-2025) demonstrate a cohesive research trajectory toward industrial-scale CO 2 utilization, with emphasis on energy efficiency, catalyst durability, and impurity tolerance. Dominant themes include electrochemical engineering for concentrated product streams, computational modeling of catalyst microenvironments, and thermal processes for mineral-based carbon removal. This integrated approach targets practical implementation in sustainable fuel and chemical production. Professor Kanan supervises undergraduate research (CHEM 190), directed instruction (CHEM 90), and Ph.D. candidates across chemistry and materials science. His research group likely secures substantial funding for projects addressing critical challenges in carbon conversion, though specific grants aren't detailed in the source material. Collaborative work spans electrochemical engineering, materials design, and process optimization for decarbonization.

Maria Halbingerمشاهده پروفایل

دانشیار

• Innovation
• Entrepreneurship
• Creativity

Maria Halbinger is an Associate Professor at the Zicklin School of Business , affiliated with the Lawrence N. Field Department of Entrepreneurship and Innovation at Baruch College, City University of New York (CUNY). Her academic career focuses on innovation, entrepreneurship, and creativity within collaborative environments. European Master of Business Science, University of Birmingham, UK (2003) Diplom in Business Administration, University of Regensburg, Germany (2005) PhD in Economics and Management with a focus on Entrepreneurship, Copenhagen Business School, Denmark (2014) Her research explores how user innovation communities, social identity, and pre-innovation experiences influence entrepreneurial success. She investigates topics such as reciprocity in collaborative platforms, the impact of competition on user-generated content, and the role of makerspaces in supporting entrepreneurial ventures. Maria's publications highlight trends in user-driven innovation , community dynamics , and technology adoption across platforms like 3D printing ecosystems. Her work spans interdisciplinary subfields including collaborative design, open innovation, and hacker-maker culture.

• Natural Language Processing
• Information Extraction
• Deep Learning
• +۴ مورد دیگر

Thien Huu Nguyen is an Associate Professor in the Department of Computer Science at the University of Oregon, part of the College of Arts and Sciences. His research focuses on advancing natural language processing through deep learning approaches, with particular emphasis on multilingual capabilities and information extraction systems. Dr. Nguyen earned his B.S. in Computer Science from Hanoi University of Science and Technology, followed by M.S. and Ph.D. degrees in Computer Science from New York University, where he worked with Professors Ralph Grishman and Kyunghyun Cho. He completed postdoctoral research at the University of Montréal with Professor Yoshua Bengio at the Montreal Institute for Learning Algorithms. His research explores mechanisms to understand human languages for computers so that they can perform cognitive language-related tasks. He is especially interested in distilling structured information and mining useful knowledge from massive and multilingual human-written text across various domains. His lab employs and designs effective learning algorithms for information extraction and text mining, with current focus on deep learning approaches. They are among the first groups to develop deep learning models demonstrating effectiveness for information extraction, while also targeting other language-related problems including reading comprehension, machine translation, natural language generation, chatbots, and language grounding. Dr. Nguyen's research has resulted in significant contributions to multilingual NLP, including the development of Vistral (a state-of-the-art conversational LLM for Vietnamese), CulturaX (a massive multilingual dataset with 6.3 trillion tokens in 167 languages), and the Okapi framework for evaluating multilingual LLMs in 26 languages. His work has been adopted by major organizations including Stability AI for training their state-of-the-art multilingual language models. NSF CAREER Award (2023) AI 2000 Most Influential Scholar Honorable Mention in NLP (2022) EACL 2021 Best Demo Paper Award EACL 2021 Outstanding Demo Paper Award IBM Ph.D. Fellowship (2016) Dr. Nguyen actively mentors students, currently supervising four PhD students (Minh Nguyen, Nghia Ngo, Hieu Man, and Chien Nguyen) and has successfully guided numerous alumni to positions at leading tech companies and academic institutions. His research has been supported by multiple grants including funding from NSF, IARPA, and Adobe Research. He leads the UO-NLP research group which has developed influential software including FourIE (a neural information extraction system), Trankit (a multilingual NLP toolkit), and FAMIE (a multilingual active learning framework).

Matthew A. Franchekمشاهده پروفایل

استاد

• Dynamic Systems
• Control Systems Engineering
• Nonlinear Control Theory
• +۴ مورد دیگر

Matthew A. Franchek is a Professor in the Department of Mechanical and Aerospace Engineering at the University of Houston, where he has served since 2002. His career spans over three decades, including prior roles as Professor and Chair at the University of Houston (2002–2009), Director of the Biomedical Engineering Program (2002–2009), and faculty positions at Purdue University from 1992 to 2002. He earned his Ph.D. (1991), M.S. (1988), and B.S. (1987) in Mechanical Engineering from Texas A&M University and the University of Texas at Arlington, respectively. Dr. Franchek’s research focuses on Dynamic Systems, Measurement and Control , with expertise in linear/nonlinear system identification, multivariable control theory, diagnostics/prognostics, and adaptive control. His engineering applications span internal combustion engines , exhaust after-treatment , noise/vibration control , and health prognostics for cardiovascular/respiratory systems . His recent publications highlight applications in superconductor manufacturing, aeroelastic stability, magnetic actuators, and subsea engineering. 2002 Best Paper Award, ASME Journal of Dynamic Systems, Measurement and Control 2001 ASME Dynamic Systems and Control Division Young Investigator Award 1997 CASA/SME University Lead Award 1997 Feddersen Faculty Fellow, Purdue University Multiple teaching awards at Purdue University (1994–2001) and Texas A&M University (1991) He has served as an Associate Editor for the ASME Journal of Dynamic Systems, Measurement and Control, held leadership roles in ASME and IEEE, and organized symposia on nonlinear control and robust control at international conferences. His professional activities include advisory roles at Cummins Incorporated and reviewing for NSF and numerous journals.

• Race and Racism
• Intersectionality
• Feminist Theory
• +۵ مورد دیگر

Mónica Moreno Figueroa is a Professor of Sociology at the University of Cambridge and a Fellow in Social Sciences at Downing College, Cambridge. She is a Black-mestiza, Mexican-British woman whose research focuses on the intersectional lived experience of 'race' and racism in Mexico and Latin America, antiracism and academic-based impact, feminist theory, intersectionality, and racism. She is an expert in qualitative research methods and visual methodologies and thrives in interdisciplinary collaborations. She is currently leading the development of a new research institute on Global Race, Racism and Anti-Racism in the Department of Sociology, secured with seed funding from the W.K.K. Foundation. Her research interests center on understanding the intersectional lived experience of 'race' and racism in Mexico and Latin America, antiracism and academic-based impact, feminist theory, intersectionality, and racism. She is particularly interested in the global flows of notions of race, the workings of racism, and exploring the current 'turn to antiracism' in Latin America and the Global South. Her work examines the emotional impact of oppression for social transformation, the everyday experience of racism, and issues of institutional and structural racism within mestizo contexts. Her most recent publications reveal a strong focus on anti-racism in Latin America, internalized racism, and the politics of mestizaje. The articles demonstrate an interdisciplinary approach spanning sociology, critical race studies, feminist theory, and Latin American studies. Key themes include racial visibility, naming racism, structural inequality, and the emotional dimensions of racial oppression. Her work consistently bridges theoretical frameworks with practical anti-racist organizing. British Academy Mid-Career fellowship 2022-23 for the project: 'Internalised Oppression, Defensiveness and Resentment' Commendation for 'Innovative Teaching' in the University of Cambridge Student Union's Student-Led Teaching Awards (May 2018) Pilkington Teaching Prize in recognition of excellence of teaching at the University of Cambridge (June 2017) Commendation for 'Supporting Students' in the University of Cambridge Student Union Student-Led Teaching Awards (May 2016) Cambridge University Student Union's Women's Campaign 'Academic of the Year' Award 2015-16 (June 2016) As an academic advisor, Professor Moreno Figueroa supervises doctoral students interested in the lived experience of 'race' and racism, racism and antiracism in Latin America, intersectionality, feminist theory, and the interconnections between beauty, emotions & race. She has secured significant funding for her research projects, including a £1m ESRC grant for the 'Latin American Antiracism in a Post-Racial Age' project. She co-leads the Decolonise Sociology Working Group and runs the End Everyday Racism project, a web-based platform to report and monitor racism in higher education. Professor Moreno Figueroa has been deeply involved in institutional anti-racism work, serving as the University of Cambridge Race Equality Co-Champion from 2017-2021 and as a member of the University of Cambridge Legacies of Enslavement Advisory Board from 2019-2022. Since 2010, she has co-led COPERA (Collective for the Elimination of Racism in Mexico), dedicated to making racism public.

Steve Oneyمشاهده پروفایل

دانشیار

• Human Computer Interaction
• Programming Education
• Accessibility and Computing
• +۵ مورد دیگر

Steve Oney is an Associate Professor at the University of Michigan School of Information and Computer Science and Engineering (by courtesy). His research focuses on enabling and encouraging more people to write and customize computer programs by creating new programming tools and exploring usability issues in programming environments. With a strong background in Human-Computer Interaction, he bridges the gap between theoretical research and practical applications in programming education, accessibility, and developer tool design. Dr. Oney completed his Ph.D in Human-Computer Interaction at Carnegie Mellon University's Human-Computer Interaction Institute under Professor Brad Myers and Dr. Joel Brandt. He also earned an M.Eng in Computer Science and SB degrees in Computer Science and Mathematics from MIT. His research spans multiple interconnected areas with a unifying theme of making programming more accessible and understandable. Key focus areas include programming education tools that help instructors understand student code at scale, web automation systems that simplify repetitive tasks, accessibility research addressing challenges faced by visually impaired programmers, and innovative VR programming environments. His work consistently emphasizes the human aspects of programming, exploring how tools can better support diverse programming needs and contexts. Dr. Oney's research output shows a strong trajectory toward increasingly sophisticated tools that integrate AI capabilities while maintaining a focus on human-centered design principles. Recent publications demonstrate growing emphasis on inclusive design, educational applications, and the integration of generative AI in programming environments. L@S 2024 Best Paper Award for CFlow CHI 2023 Honorable Mention for VizProg UIST 2024 Best Short Paper (EdCode) VL/HCC 2019 Best Short Paper Recognition for Contribution to Diversity and Inclusion (CSCW 2021) UMSI Excellence in Instruction Award (2021) University of Michigan President's Postdoctoral Fellowship (2015) As a mentor, Oney advises multiple Ph.D. students and postdoctoral researchers, with several successful graduates including Dr. Lei Zhang (June 2024). His research has secured over $1 million in funding from the National Science Foundation, Google, and Adobe, supporting projects that address critical challenges in programming education, accessibility, and developer tool design. He leads the Programming Tools Lab at the University of Michigan, where his team develops innovative tools that help programmers work more effectively. Current projects focus on AI-enhanced programming education, web automation, accessibility for diverse user groups, and next-generation programming environments for virtual and augmented reality.

Levent Dumenciمشاهده پروفایل

استاد

• Biostatistics
• Epidemiology
• Psychometrics
• +۴ مورد دیگر

Levent Dumenci serves as Professor in the Department of Epidemiology and Biostatistics at Temple University's College of Public Health since July 2015. His NIH-funded research (NIMH, NCI) focuses on psychometric test development and discrete latent variable modeling of behavioral data. He is the author of Latent Kappa and provides statistical consultation for quasi-experimental and non-experimental research designs across public health disciplines. His educational foundation includes: PhD in Psychometrics (Major) and Statistics (Minor) from Iowa State University MS in Psychometrics from Iowa State University BS in Psychology from Hacettepe University Dumenci's research integrates structural equation modeling, multitrait-multimethod matrix specification, and statistical modeling of observed/unobserved heterogeneity. His work advances methodologies for situational specificity of behavioral ratings, latent agreement modeling, and health literacy assessment. This interdisciplinary approach bridges biostatistics, epidemiology, and clinical measurement with emphasis on rigorous quantitative analysis of complex health data. His extensive publication record demonstrates consistent focus on orthopedic outcomes (particularly knee arthroplasty), where he applies advanced statistical techniques to patient-reported outcomes, pain assessment, and recovery trajectories. Significant contributions also appear in cancer health literacy, neighborhood-level adverse childhood experiences indices, and opioid use patterns in surgical recovery. His methodological innovations frequently address limitations in minimal clinically important difference estimation and patient outcome classification. Dumenci actively contributes to academic service through NIH/NSF study sections and editorial boards of two international journals. He mentors students through statistical consultation for externally funded projects and teaches core courses including Biostatistics for Health Professions (EPBI 5001) and Structural Equation Modeling (EPBI 8201). He directs the Biostatistics Core at Temple University, which provides statistical methodology support across public health research domains including clinical trials, observational studies, and community-based interventions. His team specializes in complex data modeling for behavioral health, chronic disease management, and health disparities research.

Brian Weeksمشاهده پروفایل

دانشیار

• Evolutionary Ecology
• Climate Change Biology
• Biodiversity Conservation
• +۵ مورد دیگر

Brian Weeks is an Associate Professor in the School for Environment and Sustainability at the University of Michigan, where he joined as an Assistant Professor in 2019. His research focuses on understanding how species and communities respond to human-induced environmental changes, with particular emphasis on avian systems. Weeks leads an active research group that integrates museum specimen-based work, genomics, and field studies to investigate biodiversity responses to global change. Weeks' research interests span evolutionary ecology, climate change biology, and biodiversity conservation. His work primarily examines how bird species and communities have responded to environmental change through morphological adaptations. He combines museum-, field-, and lab-based approaches to study evolutionary processes across multiple scales, from macroevolutionary patterns in the Solomon Islands to contemporary changes in North American migratory birds. His lab has developed innovative methods like Skelevision for high-throughput measurement of functional traits from museum skeletal specimens. His publication record shows a strong focus on climate-driven morphological changes in birds, with recent work demonstrating how warming temperatures drive size reductions while simultaneously increasing wing length. His research has revealed that smaller-bodied species change at faster rates, and that migration timing shifts are decoupled from morphological changes. Weeks' lab also investigates biodiversity-ecosystem functioning relationships and extinction risk prediction. Packard Fellowship in Science and Engineering (2022) Ecological Society of America's George Mercer Award (2022) Katma Award, American Ornithological Society ISI Highly Cited paper (2021) Weeks advises multiple PhD and Master's students, and his lab collaborates extensively with researchers across institutions. His work has received significant media attention, with coverage in Science, The Wall Street Journal, The Washington Post, BBC News, and numerous international outlets. His research on birds shrinking due to climate change achieved an Altmetric score higher than 99.98% of papers tracked, reflecting its substantial scientific and public impact.

Dennis Eschمشاهده پروفایل

استادیار

• Brand Management
• Consumer Behavior
• Marketing Strategy
• +۴ مورد دیگر

Dennis Esch serves as Lecturer (Assistant Professor) in Marketing and Behavioural Science at Cranfield School of Management, Cranfield University, where he acts as the Strategic Marketing and Sales Group's liaison for research matters. Previously, he directed the Cranfield Customer Management Forum, one of the School's premier research practice clubs. Dr. Esch holds award-winning academic qualifications in marketing, psychology and behavioural science from Lancaster University Management School and Cranfield School of Management, establishing a strong interdisciplinary foundation for his research. His research program centers on three interconnected domains: the psychological mechanisms of brand influence in consumer decision-making, the transformative impact of emerging technologies on consumer perceptions and preferences, and the complex relationship between social consumption experiences and human happiness. Methodologically, he integrates behavioral science principles with marketing theory through quantitative approaches including experiments, field studies, and big data analysis to address questions with both theoretical significance and practical managerial relevance. Dr. Esch's publication record reveals an evolving research trajectory from foundational consumer behavior studies (2016-2019) examining product assortment effects, sports consumption impacts, and social identity dynamics, toward contemporary methodological innovations in mobile research platforms (2022-2025). His recent work demonstrates particular expertise in evaluating mobile-first platforms for crowdsourcing behavioral, advertising, and personality research, addressing critical questions about digital research validity and ecological relevance. While specific major scientific awards beyond his noted 'award-winning degrees' aren't detailed in available information, his research has been published in reputable outlets including Behavior Research Methods and Academy of Marketing Science proceedings, indicating scholarly recognition. Dr. Esch brings extensive international teaching experience across multiple contexts, having instructed postgraduate students and executives in brand management, marketing strategy, consumer behavior, and research methods in the UK, Germany, and Switzerland. His pre-academic industry background includes significant roles at Audi, Henkel, Vaillant Group, and Swiss Post, providing practical grounding for his academic work and enhancing the real-world applicability of his research findings. His research methodology reflects a commitment to bridging the gap between laboratory rigor and field relevance, particularly through his investigations of mobile research platforms that can capture authentic consumer experiences while maintaining scientific validity. This approach addresses contemporary challenges in behavioral research methodology while generating actionable insights for marketing practitioners.