Find Academic Supervisors

Luis F. Ayala H.View profile

Professor

• Advanced Reservoir Simulation
• Multiphase Flow in Porous Media
• Unconventional Reservoir Analysis
• +3 more

Luis F. Ayala H. is the Department Head and William A. Fustos Family Professor in the John and Willie Leone Family Department of Energy and Mineral Engineering at Penn State University. He holds dual summa cum laude degrees in Chemical and Petroleum Engineering from Universidad de Oriente (Venezuela), and M.S. and Ph.D. degrees from Penn State. His research focuses on computational fluid dynamics modeling of multiphase flow in unconventional reservoirs, hydrocarbon thermodynamics, and reservoir simulation. Education: Ph.D. (Petroleum and Natural Gas Engineering), Penn State University M.S. (Petroleum and Natural Gas Engineering), Penn State University Petroleum Engineering Degree, summa cum laude, Universidad de Oriente Chemical Engineering Degree, summa cum laude, Universidad de Oriente Research Interests: Advanced reservoir simulation, unconventional gas reservoir analysis (shale gas, tight sands), multiphase flow in porous media, hydrocarbon thermodynamics, and lattice Boltzmann methods. His work aims to improve predictive capabilities for unconventional reservoirs through quantitative modeling of multiphase transport dynamics. Key Awards: SPE Distinguished Member (2022) Fulbright-Colciencias Innovation Award (2016-2017) Howard B. Palmer Faculty Mentor Award (2022) Wilson Award for Excellence in Teaching (2008) Grants & Advising: He has led numerous research projects funded by industry and federal agencies, advising graduate students in energy systems and reservoir engineering. His administrative roles include service as executive editor for the SPE Journal and as an Administrative Fellow at Penn State’s Office of Research. Labs & Teams: His research group collaborates on projects involving advanced simulation tools for unconventional reservoirs, with a focus on multiphase flow dynamics and thermodynamic interplay in nano-pore systems.

JuHyun LeeView profile

Associate Professor

• Architectural design computing
• Design cognition
• Urban complexity
• +8 more

JuHyun Lee is an Associate Professor of Architecture and Computational Design in the School of Built Environment at the Faculty of Arts, Design and Architecture (ADA), University of New South Wales (UNSW) Sydney, where they also hold the prestigious title of Scientia Academic. With a professional background in architecture and construction (1998-2002), they have held academic positions across Australia including a five-year post-doctoral fellowship at the University of Newcastle (2012-2017) and a senior research fellowship at the University of South Australia (2018), following earlier research and teaching roles in South Korea (2003-2011). Lee specializes in architectural design computing, design cognition, and urban complexity, integrating computational methods, cognitive science, and architectural theory to advance architectural intelligence and human-centered design. Their research spans architectural visualization, analysis and design methods, algorithm/protocol design, and data visualization with computational approaches. They have established a strong research program examining the intersection of language, culture, and design cognition, particularly focusing on cross-cultural design communication between Australia and Korea. Lee's recent publications demonstrate a clear trajectory toward increasingly sophisticated integration of computational methods with architectural design theory, particularly in the areas of shape grammar, space syntax, and machine learning applications. Their work shows consistent focus on practical applications of computational design methods to real-world architectural problems, with growing emphasis on cross-cultural collaboration and intelligent design systems. The research portfolio reveals a deepening engagement with AI and machine learning techniques applied to architectural design assessment and generation. Scientia Academic at UNSW Sydney Associate Fellow of the Higher Education Academy (AFHEA, 2020) As an educator, Lee develops cutting-edge courses in computational design and Building Information Modeling (BIM), integrating experiential learning and industry engagement. They have secured over $11 million in research funding, including multiple ARC Discovery Projects and an Australia-Korea Foundation grant. Lee co-directs the Advanced Architectural Analytics Laboratory (A 3 LAB), leading interdisciplinary research on design automation, spatial analysis, and machine learning applications in architecture, while also leading cross-cultural initiatives like the Australia-Korea Architects' Network (AKAN). Lee supervises multiple HDR students working on culturally sustainable urban design, socio-spatial patterns in public housing, and computational layout generation. Their research has significant implications for improving design communication across cultural boundaries and developing more coherent, clear, and accessible built environments through computational design approaches.

Melissa RoderickView profile

Professor

• Education Policy
• Urban Education
• Student Transitions
• +4 more

Melissa Roderick is the Herman Dunlap Smith Professor at the Crown Family School of Social Work, Policy, and Practice. She co-directs the Chicago Consortium on School Research and specializes in the critical transitions from high school to college and urban education reform. Her work combines qualitative and quantitative methods to address dropout prevention, grade retention, and summer program efficacy. Focus on student transitions Co-director, Chicago Consortium on School Research Expert in mixed-methods research Grants from J. P. Morgan Chase, Spencer, and Wallace Foundations Roderick's research explores college readiness , noncognitive factors , and urban school reform . Her work emphasizes data-driven interventions and policy analysis, particularly in Chicago Public Schools. Recent publications highlight college match indicators , academic momentum , and systemic barriers in college access. Her scholarly contributions include analyses of: Advanced Placement program efficacy Noncognitive skill development Postsecondary outcomes for IB students Long-term impacts of ninth-grade interventions Scientific recognition includes: Crown Family School teaching excellence award Chicago Sun-Times '100 Most Powerful Women' (2004) Roderick has received funding from multiple foundations, including the J. P. Morgan Chase Foundation, Spencer Foundation, and Wallace Foundation. She currently chairs the board of North Lawndale College Preparatory Charter High School and has led initiatives to restructure urban school systems through longitudinal data analysis and curriculum reform.

Werner ReinartzView profile

Professor

• Retailing
• Customer Management
• Digital Transformation
• +9 more

Werner Reinartz is a Professor of Marketing at the University of Cologne since 2007, where he holds the Chair for Retailing and Customer Management . He serves as Vice-Rector for Transfer (2023–ongoing) and Director of the Center for Research in Retailing (IFH e.V.) . His career includes a part-time Associate Professor role at INSEAD (2007–2010) and tenured/untenured positions there from 1999–2007. He earned a Ph.D. in Marketing from the University of Houston (1999) and an MBA from Henley Management College (1997). His research focuses on Retailing , Customer Management , Digital Transformation , and Marketing Strategy . He investigates how platformization , geospatial data , and authenticity in TV advertising influence consumer behavior and business outcomes. His work also addresses CRM efficacy , B2B hybrid offerings , and value creation in dynamic markets . Key trends in his recent publications include: Digital transformation in retail and branding Behavioral economics in marketing decisions Quantitative analysis of TV advertising effectiveness Geospatial data applications in international markets Platform business models for enduring customer relationships CRM and customer profitability in noncontractual settings Scientific honors include: Academic Fellow, Marketing Science Institute (MSI) (2023) EMAC Distinguished Marketing Scholar Award (2023) Shelby D. Hunt/Harold H. Maynard Award (2022) Jan Steenkamp Award for Long-Term Impact (2021) Outstanding Area Editor, Journal of Marketing (2016) Donald R. Lehmann Award (2001) and John A. Howard Dissertation Competition Winner (1999) He contributes to editorial boards and collaborative research initiatives like the Research Initiative 'Digital Transformation and Value Creation' and the Cluster of Excellence ECONtribute: Markets & Public Policy , which examines market challenges through interdisciplinary lenses.

Jiyun KangView profile

Associate Professor

• Consumer Behavior
• Consumer Experience
• Consumer Well-Being
• +18 more

Jiyun Kang serves as an Associate Professor at Purdue University's White Lodging-J.W. Marriott, Jr. School of Hospitality and Tourism Management within the College of Health and Human Sciences. Her research examines consumer behavior, well-being, and sustainable practices across fashion, luxury, and retail sectors, with emphasis on artificial intelligence applications, crisis management, and corporate social responsibility initiatives. Her academic credentials include: PhD in Human Ecology from Louisiana State University (2010) MS in Business/Marketing from Seoul National University (2005) BA in English Language and Literature from Korea University (2002) Dr. Kang's research spans consumer psychology, sustainable consumption, and digital innovation in retail. She investigates decision fatigue in luxury contexts, AI-driven mitigation of purchase hesitation, and psychological ownership in fashion subscription models. Her work consistently employs quantitative methods including machine learning and causal modeling to analyze brand-consumer dynamics during ethical crises and sustainability transitions. Analysis of her 2022-2025 publications reveals three dominant trends: (1) blockchain/NFT applications for luxury authentication, (2) AI ethics in retail crisis management, and (3) intersectional approaches to sustainable fashion through psychological ownership frameworks. Methodologically, she increasingly integrates natural language processing with traditional consumer behavior models to examine corporate social responsibility perceptions. Scientific awards: No awards are documented in the provided materials. Advising and grants: The source text contains no information regarding graduate student mentorship or externally funded research projects.

Stefania BorghiniView profile

Associate Professor

• Marketing
• Consumer Behavior
• Urban Mobility
• +2 more

Stefania Borghini serves as an Associate Professor of Marketing Management at Bocconi University's School of Management, where she investigates critical intersections between consumer behavior and societal challenges. Her work bridges academic rigor with real-world applications in sustainable mobility, inclusive fashion practices, and data-driven cultural management. Her research program centers on how consumers navigate physical and digital marketplaces, with particular emphasis on generational shifts in urban mobility preferences and embodied experiences in retail environments. She employs mixed-method approaches to explore sensory marketing, store attachment dynamics, and the socio-cultural dimensions of consumption, consistently addressing sustainability and inclusivity imperatives. Analysis of her publication trajectory reveals a strategic evolution toward interdisciplinary societal impact: early work established foundational insights in marketplace ecology and consumer psychology, while recent output pivots toward Generation Z's sustainable mobility adoption and body-positive fashion marketing. This progression demonstrates increasing engagement with policy-relevant research on urban planning and industry transformation. Her scholarly contributions have earned significant recognition: Three-time recipient of Bocconi University's Excellence in Research Award (2020, 2010, 2009) Innovation in Teaching Award from Bocconi University (2016) Davidson Honorable Mention for Best Article in Journal of Retailing (2011)

Shawn GomezView profile

Professor

• Systems Biology
• Network Pharmacology
• Translational AI
• +7 more

Dr. Shawn Gomez is a Professor in the Lampe Joint Department of Biomedical Engineering at UNC-Chapel Hill and North Carolina State University and in the Department of Pharmacology at UNC-Chapel Hill. He serves as the Executive Director of FastTraCS, a component of the NC TraCS Institute funded through the NIH CTSA Program, and is a UNC Lineberger Comprehensive Cancer Center member. His educational background includes a PhD in Biomedical Engineering from Columbia University (1999), an MS in Aerospace Engineering Sciences from the University of Colorado, Boulder (1993), and a BS in Aerospace Engineering Sciences from the same institution (1990). He completed postdoctoral training in Bioinformatics and Computational Biology at the Judith P. Sulzberger Columbia Genome Center and Institut Pasteur in Paris. Dr. Gomez's research spans systems biology , network pharmacology , and translational AI , with a focus on understanding cell signaling architecture in human disease. His lab develops computational approaches for network pharmacology and targeted cancer therapies, along with machine learning methodologies to address clinical needs and enhance clinical decision making. The research integrates computational modeling with experimental approaches to improve diagnostic and therapeutic interventions. His recent publications reveal a strong focus on kinome research, particularly in pancreatic cancer and understudied kinases, with increasing integration of machine learning techniques for predicting clinical outcomes and kinase-substrate relationships. The work spans from fundamental systems biology to translational applications in cancer therapeutics and surgical outcomes prediction. Scientific Awards: Leadership Advanced Program, UNC-Chapel Hill 2017 Chancellor's Entrepreneurship Boot Camp 2015 ACCLAIM Scholar (Academic Career Leadership Academy in Medicine) 2013-2014 UNC Research Council Award 2011 Carl Storm URM Fellowship 2008 UNC Junior Faculty Development Award 2006 Florence Gould Scholar 2005 Pasteur Foundation Fellow 2002-2005 Dr. Gomez directs the Gomez Lab, which focuses on systems biology, network pharmacology, and translational AI. The lab maintains several key resources including Darkkinome.org, FAAS, and IAS servers for kinome research. His work bridges computational biology with clinical applications, particularly in cancer therapeutics and surgical outcomes prediction through machine learning approaches.

• Marketing
• Machine Learning
• Data Analytics
• +3 more

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

• Asset Management
• Hedge Funds
• Risk Management
• +2 more

Robert Kosowski is Professor of Finance and Head of the Department of Finance at Imperial College Business School, Imperial College London. He holds a Ph.D. from London School of Economics, M.Sc. in Economics from London School of Economics, and B.A./M.A. in Economics from Trinity College, Cambridge University. His research examines asset management, risk management, machine learning applications in finance, hedge funds, and performance measurement. He has published in top finance journals including Journal of Finance, Journal of Financial Economics, and Review of Financial Studies. Awards include European Finance Association Best Paper Award (2007), four INQUIRE best paper awards, and British Academy Mid-Career Fellowship (2011-2012). Recent publications focus on machine learning in finance, regulatory impacts on funds, and innovative risk management approaches. Articles demonstrate consistent methodological rigor across quantitative finance topics with practical applications for investment management. Professor Kosowski is co-author of 'Principles of Financial Engineering' and directs executive education programs in Risk Management. He has industry experience as Head of Quantitative Research at Unigestion and previously worked at Goldman Sachs and Deutsche Bank.

• Marketing Strategy
• Marketing Asset Accountability
• Business-to-Business Advertising
• +3 more

Dr. Peter Guenther is a Visiting Professorial Fellow at the Institute of Management and Decision Sciences (MDS) at Hamburg University of Technology (TUHH), specializing in marketing strategy and quantitative methods. His research focuses on quantifying marketing's impact on financial performance, marketing asset accountability, business-to-business advertising, and digital marketing. He holds a PhD in Marketing from the University of Melbourne and a Diplom (German Master) in Commerce from the University of Mannheim. Key research interests include understanding marketing's financial value, improving PLS-SEM methodologies in business research, and analyzing B2B advertising dynamics. His work has been published in top-tier journals such as the Journal of Marketing , International Journal of Research in Marketing , and Industrial Marketing Management . He serves on the Editorial Review Board of Industrial Marketing Management . Dr. Guenther has prior affiliations with the University of Melbourne and RMIT (Australia). He contributes to the Liverpool Advanced Methods for Big Data Analytics (LAMBDA) Research Centre and teaches modules like 'Consumer Insight Research' and 'Marketing & Digital Analytics.'

• Fuzzy Logic
• Multi-criteria Decision Making
• Decision Science
• +3 more

Başar Öztayşi is a Professor at the Department of Industrial Engineering , Istanbul Technical University , with expertise in fuzzy logic, multi-criteria decision making, and decision science. He has held administrative roles including Associate Professor (2017–present), Deputy Director of the Institute (2016–2017), and Assistant Professor (2013–2017). Fields of Study : Fuzzy Logic, Multi-criteria Decision Making, Decision Science Contact : oztaysib@itu.edu.tr , +90 212 293 1300 Research Interests focus on applying fuzzy set theory to complex decision problems, including financial management, risk assessment, and smart city energy systems. His work extends to industry 4.0 applications and process mining in e-commerce. Recent Publications (2024) analyze fuzzy approaches in financial management, risk assessment, and Industry 4.0, with subfields spanning bibliometric trends, allocation optimization, and sustainable energy planning. Earlier works explore AHP matrix consistency, file distribution models, and customer segmentation. Awards : Best Paper Award, FLINS 2018 Science - Art Awards

Erwin SchoofView profile

Associate Professor

• Proteomics
• Mass Spectrometry
• Single-Cell Analysis
• +7 more

Erwin Schoof is an Associate Professor at the Department of Biotechnology and Biomedicine , Technical University of Denmark. He leads the Cell Diversity Lab and focuses on advancing proteomics and mass spectrometry technologies. Expertise in single-cell proteomics , stem cell niches , and bioinformatics . Active in myelofibrosis and leukemia research , with applications in UN Sustainable Development Goals . Research Trends from 2025–2024 include: Machine learning-driven peptide sequencing (InstaNovo, InstaNexus). Single-cell resolution tools for mapping hematopoietic stem cells and tumor microenvironments . Biomarker discovery in chronic diseases and respiratory conditions . Supervision : Mentors multiple PhD students on single-cell proteomics , omics data analysis , and biotherapeutic production . Labs & Collaborations : Collaborates with international teams on plasma proteomics , 3D bioengineering , and advanced mass spectrometry workflows .

Alina LandowskaView profile

Assistant Professor

• Cultural Studies
• Discourse Analysis
• Cultural Evolution
• +3 more

Alina Landowska serves as Assistant Professor in the Department of Cultural Studies at the Faculty of Humanities, SWPS University of Social Sciences and Humanities in Warsaw. Her academic profile integrates cultural studies, computational linguistics, and ethics, with significant contributions to understanding moral foundations in digital discourse and technological futures. Her educational background includes degrees in Management and Economics from Gdańsk University of Technology and European Integration from the Pontifical University of John Paul II in Krakow, complemented by international scholarship experiences: SDG Academy (United Nations) Tantur Ecumenical Institute, Jerusalem (University of Notre Dame) Baltic University Program, Uppsala Swedish Institute of Environmental Research, Kalmar Royal Danish Student Fund, Copenhagen Landowska's research investigates cultural evolution through computational discourse analysis, focusing on morality-technology intersections. She pioneers text-mining methodologies to examine moral foundations in social media, anticipatory rhetoric in digital communication, and value-based management frameworks. Her work bridges humanities with data science, analyzing polarization mechanisms and proleptic cues in online environments while exploring cooperation ethics in business contexts. Recent publications demonstrate methodological innovation in mapping technological futures through sentiment/emotion analysis and moral-value detection systems. Her article corpus reveals consistent thematic threads: digital rhetoric analysis (particularly prolepsis functions), moral psychology applications in AI/social media, and cultural evolution studies linking cooperation theory with business ethics. This interdisciplinary approach positions her at the nexus of computational social science and humanistic inquiry. No scientific awards or prizes are documented in her current professional profile. As an educator, Landowska mentors students in discourse analysis methodologies and socio-economic media studies while serving as executive coach with EMCC Poland. Her research leadership extends to co-founding the Institute for Development think tank and representing Employers of Poland at the OECD's Business and Industry Advisory Committee (2016-2018). She previously held vice-presidential roles in the Polish Association of Businesswomen. Landowska maintains active research affiliations with the Humanistic Management Center (University of Lucerne), International Council for Small Business (George Washington University), and ArgDiaP association. Her 2022-2024 tenure with New Ethos Lab advanced dialogue studies in persuasion frameworks, complementing her current work on digital rhetoric's ethical dimensions.

Gavin SchwarzView profile

Professor

• Organizational Change
• Organizational Failure and Inertia
• Virtual Teams
• +2 more

Gavin Schwarz is a Professor and Head of School at the School of Management and Governance within the UNSW Business School . He specializes in organizational change , organizational failure and inertia , and the dynamics of virtual teams , with a focus on how organizations fail during change processes and how to develop applied strategies for change management . His work spans diverse sectors including healthcare, technology, and education, with publications in leading journals such as Academy of Management Learning and Education and Administrative Science Quarterly . Education : PhD in Management (University of Queensland), MPhil (Hons) in Management (University of Auckland), BA in Management and English (University of Auckland). Grants : 2020 Brock University grant for "University communication in times of COVID-19" , 2020 UNSW Medicine grant for "Translation and change: Embedding effective change management in health" , and earlier Australian Research Council and Gordon J. Samuels Fellowship awards. His research explores the development of knowledge in organizational theories , with an emphasis on collective responses to change , HR management during crises , and technology strategy . He has contributed to understanding organizational communication , team innovation , and structural inertia . His 15 most recent publications cover topics from AI’s role in organizational change to pandemic-driven research adaptation, with keywords spanning management science , behavioral economics , and digital transformation . Scientific Awards 2021-2023 : Outstanding Reviewer Awards (Academy of Management Review) 2017-2020 : Best Reviewer Awards (Journal of Organizational Behavior) 2019, 2013, 2011 : Best Paper Finalist/Awardee (Academy of Management divisions) 2007, 2006 : Editorial Board Excellence (Academy of Management Journal) and Gordon J. Samuels Fellowship As an active supervisor in organizational change and HR development , his work supports healthcare innovation and digital transformation. He serves as Editor-in-Chief for the Journal of Applied Behavioral Science and is on the editorial boards of Academy of Management Review , Journal of Management , and Journal of Organizational Behavior . Contact: g.schwarz@unsw.edu.au

Christian MayerView profile

Professor

• Origin of life
• Nanocapsules
• NMR spectroscopy
• +5 more

Prof. Dr. Christian Mayer is a Professor in Physical Chemistry at the Faculty of Chemistry, University of Duisburg-Essen. He serves as Head of the working group focusing on origin of life research, nanocapsules, and NMR spectroscopy techniques. His research group is located at Universitätsstraße 5, D-45141 Essen, Germany, with contact information including phone number +49 201 183-2570. Prof. Mayer's research interests primarily focus on the origin of life in deep tectonic fault zones of the first continental fragments, where he collaborates with Prof. Dr. Ulrich Schreiber from the Faculty of Biology and Prof. Dr. Oliver Schmitz from Applied Analytical Chemistry. His work investigates how vesicle formation occurs in tectonic fault systems through cyclic phase transitions of carbon dioxide, creating ideal conditions for molecular evolution. He specializes in pulsed field gradient NMR (PFG-NMR), high-resolution NMR, and solid-state NMR techniques to characterize nanoscale systems including nanocapsules, vesicles, and microemulsions. His recent publication trends reveal a strong interdisciplinary focus spanning physical chemistry, prebiotic chemistry, and astrobiology. The articles demonstrate increasing integration of computational methods with experimental approaches, particularly in analyzing molecular structures and dynamics. His research has evolved from fundamental studies of nanocapsule systems to broader investigations of protocell formation mechanisms under early Earth conditions, with recent work extending to astrobiological contexts including potential life formation on Titan. Prof. Mayer has established significant collaborations across multiple disciplines, particularly with geologists and biologists, to investigate the physical chemical processes that could have led to the emergence of life. His work bridges fundamental physical chemistry with practical applications in nanomedicine, particularly in developing artificial oxygen carriers based on nanocapsule technology. His laboratory utilizes high-pressure facilities to simulate early Earth crust conditions, with a particular focus on supercritical CO 2 environments. The working group combines experimental approaches with theoretical modeling to understand vesicle formation processes and their implications for the origin of cellular life.