Reuben J. Thomas is an Associate Professor of Sociology at the Department of Sociology & Criminology, The University of New Mexico. His research focuses on social network structures, online dating impacts on couple formation, friendship segregation, and social stratification mechanisms. Academic Rank: Associate Professor Institution: The University of New Mexico Research Themes: Social Networks, Online Dating, Life Course Analysis, Stratification His work examines how digital platforms reshape romantic and friendship networks, with publications in Social Forces , American Sociological Review , and Sociological Perspectives . Recent studies analyze peer support among Mexican immigrant women and the role of ICTs in community-engaged research. Key article trends include: Network-driven inequality (2013-2024) Online dating's desegregation effects (2012-2020) Life-course friendship homophily (2011-2019) Adolescent network impacts on civic behavior (2006-2014) Thomas teaches graduate courses in social theory, advanced statistics, and network analysis, alongside undergraduate courses on relationships and society.
Bradley Setzler is the Strumpf Early Career Associate Professor of Economics at Pennsylvania State University (with tenure) and a Faculty Research Fellow at the National Bureau of Economic Research (NBER). His primary research focuses on labor economics and applied microeconomics, with secondary interests in industrial organization and international trade. He examines labor market power dynamics, wage inequality, firm-level effects, and the impacts of globalization on labor markets. His work has been published in top journals such as the American Economic Review and the Journal of Labor Economics. Key topics include labor market adjustment to trade shocks, firm-induced wage disparities, and the role of multinational firms in domestic labor markets. Setzler collaborates with prominent economists like David Autor and Magne Mogstad, contributing to influential studies on monopsony power and policy implications. He holds affiliations with NBER’s Labor Studies program and has presented research at leading institutions like MIT, Stanford, and the Federal Reserve. His methodologies emphasize large-scale data analysis, with contributions to software tools (e.g., textables, eventStudy) for econometric research.
Kamaljit Singh is an Associate Professor at the Institute for GeoEnergy Engineering (IGE) within the School of Energy, Geoscience, Infrastructure and Society at Heriot-Watt University in Edinburgh, UK. He has held this position since 2021, after serving as an Assistant Professor at the same institution from 2019 to 2021. Prior to joining Heriot-Watt, he held research positions at Imperial College London, the European Synchrotron Radiation Facility in France, and the Max-Planck Institute in Germany. His research employs advanced imaging techniques to study fluid dynamics in porous media with applications to energy storage and environmental challenges. Dr. Singh's educational background includes: PhD in Civil Engineering from the University of New South Wales at Australian Defence Force Academy, Australia (2004-2009) M.E. in Environmental Engineering from Punjab Engineering College/Panjab University, India (2000-2002) B.E. in Civil Engineering from GNE/Punjab Technical University, India (1996-2000) His primary research focuses on 3D imaging of fluid flow in permeable media using both in-house and synchrotron X-ray micro-CT. His current projects investigate H 2 and CO 2 storage in subsurface rocks, pore-to-core scale fluid displacement dynamics, wettability effects on multiphase flow, multi-scale rock characterization, and thermoregulation in termite nests for bio-inspired building design. Dr. Singh's work directly contributes to UN Sustainable Development Goals related to clean energy and climate action, with his research group ( https://digiporflow.site.hw.ac.uk ) advancing digital imaging techniques for porous flow systems. Analysis of Dr. Singh's recent publications (2024-2025) reveals a strong emphasis on hydrogen storage mechanics in geological formations, particularly examining permeability evolution and deformation in sandstones under cyclic loading. His work also maintains significant focus on CO 2 sequestration in carbonate reservoirs and has produced notable interdisciplinary research on termite nest ventilation as a model for sustainable building design. His methodological approach consistently integrates advanced imaging techniques with computational modeling to address energy transition challenges. Dr. Singh serves as Global Course Leader for Reservoir Engineering (MSc) and teaches Introduction to Petroleum Engineering (undergraduate). His research has received considerable media attention, including coverage in The New York Times, The Straits Times, and Süddeutsche Zeitung for his work on bio-inspired ventilation systems. With 41 research publications, 4 datasets, and 7 invited talks, he maintains an active research program focused on solving critical challenges in subsurface energy storage and sustainable engineering.
Dr. Ali Ozel is an Assistant Professor at Heriot-Watt University's School of Engineering & Physical Sciences, specializing in fluid-particle flows and multi-scale modeling. His work bridges academic institutions and industry collaborations, including INEOS, Princeton University, and Toulouse's Fluid Mechanics Institute. PhD in Fluid Mechanics (Toulouse, 2011) B.Sc. & M.Sc. in Aerospace Engineering (Istanbul Technical University) Research Master in Environmental & Applied Fluid Dynamics (von Karman Institute) His research focuses on: Multi-scale modeling of fluid-particle flows (micro/meso/macro) Solvent-based carbon capture technologies (Volume of Fluid simulations) Rheology of dense granular suspensions (shear thickening/thinning) Development of xFlow - Complex Flow Technologies for decarbonization Hybrid digital twins combining physics and machine learning Using data-driven approaches and advanced computational tools, Dr. Ozel formulates constitutive models for industrial applications in energy, pharmaceuticals, and manufacturing. His recent publications emphasize neural networks for fluid dynamics, particle stress modeling, and decarbonization strategies. Scientific Awards: Marie Curie Fellows Association Grant Dr. Ozel actively supervises PhD students and collaborates with international institutions on computational modeling projects. His xFlow initiative investigates clean energy integration and device optimization through rigorous multi-scale methodologies.
Prof. Frederic Nabki is an Associate Professor of Electrical Engineering at the École de technologie supérieure (Québec, Canada). He holds a B.Eng. (Honors) and Ph.D. in Electrical Engineering from McGill University. His primary research focuses on MEMS integration with CMOS systems, RF integrated circuits (RFICs), and ultra-wideband (UWB) systems. He leads the Microtechnology and Microsystems Laboratory (Micro²) and co-directs the CoFaMic Research Centre at UQAM, exploring novel MEMS fabrication processes and hybrid RF-MEMS systems. Education: B.Eng. (McGill, 2003), Ph.D. (McGill, 2010) Affiliations: IEEE Montreal Section Secretary Labs: CoFaMic (UQAM), Micro² (ETS) His research interests span MEMS resonators, phase-locked loops, and UWB transceivers. Notable contributions include patents in MEMS-CMOS integration and book chapters on MEMS resonators. He has secured funding from NSERC, CFI, and ReSMiQ, focusing on miniaturization, energy efficiency, and system-level integration challenges. Recent work emphasizes energy-efficient UWB systems, terahertz modulation, and deep learning-enhanced ultrasonic sensors. His interdisciplinary approach bridges microelectromechanical and electronic systems for applications in healthcare, aerospace, and industrial IoT. Awards: Governor General of Canada’s Academic Bronze Medal (2025). Grants and collaborations include NSF-funded projects on MEMS fabrication and partnerships with Quebec’s Microsystems Strategic Alliance. He advises on emerging trends in hybrid RF-MEMS systems and low-power sensor networks.
Nicole Rosenkranz serves as an Associate Professor at EHL Hospitality Business School in Lausanne, Switzerland. Her academic career combines rigorous theoretical research with practical applications in hospitality and business education. Her research interests focus on the complex interplay between individual identity and organizational strategy, with particular emphasis on role identity management, organizational ambidexterity, and strategic decision-making processes. Dr. Rosenkranz examines how individuals navigate multiple role identities in organizational contexts, how strategic change affects employee identification with organizations, and how hybrid organizations manage competing identities to gain competitive advantages. Analysis of her publication record reveals consistent contributions to understanding organizational behavior through qualitative methodologies. Her work spans multiple organizational levels from individual role transitions to firm-level strategic change, with recurring themes of identity management, ambidexterity, and strategic decision-making. Recent publications increasingly address digital transformation challenges and hybrid organizational forms. Dr. Rosenkranz has published in top-tier management journals including the Journal of Management and European Management Journal, with notable contributions to the Handbook of Research Methods on Creativity. Her research demonstrates strong methodological rigor through both qualitative case studies and survey-based approaches. Doctoral thesis completed at the University of St.Gallen (2012) Extensive publication record spanning over a decade Regular presenter at prestigious conferences including Academy of Management and EGOS
Edna Dias Canedo is a researcher with a focus on software engineering, data privacy, and gender dynamics in ICT. Her work explores chatbot conversational design, micro-frontend architecture, and compliance with data protection laws like Brazil's LGPD. She collaborates extensively on studies related to agile methodologies and digital transformation in public sectors.
Pekka Töytäri is a Visiting Professor at the Department of Industrial Engineering and Management at Aalto University. He holds a Doctoral degree in Engineering and Technology from Aalto University (2015) and a Master's degree in Engineering and Technology from Helsinki University of Technology (1989). His research focuses on business models, ecosystems, value innovation, and digital transformation. He has contributed to projects such as 'MIDAS: Mastering the Next Industrial Revolution' and the EU-funded 'ATARCA/Töytäri' initiative. Key research areas include business ecosystems, value-based pricing, service innovation, and blockchain applications in decentralized markets. His work emphasizes organizational capabilities, institutional foundations of business models, and strategic alignment in industrial contexts. He has published extensively on topics like collective action signaling, inter-organizational collaboration, and digital transformation in asset-intensive industries. Recent projects highlight his engagement with autonomous systems, smart service adoption, and blockchain-based data markets. His contributions bridge theory and practice, addressing challenges in implementing value-based strategies and overcoming institutional barriers in industrial markets. Media appearances include discussions on value creation and ethical business practices.
Toni Antonucci is the Elizabeth M. Douvan Collegiate Professor of Psychology at the University of Michigan, a Senior Research Scientist at the Institute for Social Research, and a 2025 elected member of the American Academy of Arts & Sciences. A life-span developmental psychologist, she has directed major longitudinal and cross-cultural studies of social relations and health in the United States, Europe, and Japan, and has served as president of both APA Division 20 and the Gerontological Society of America. Education: Ph.D. in Psychology, Wayne State University Research Interests: Antonucci’s scholarship centers on how social networks—what she terms “convoys of social relations”—shape health, cognition, and well-being from childhood through very old age. Her recent work integrates multilevel epidemiological methods to examine neighborhood, network, and individual predictors of cognitive aging and dementia disparities, with special attention to Arab-American, Black, and Latino families. She also investigates age-differential impacts of remote work, economic shocks such as the Great Recession, and pandemic-related stress on loneliness and psychological distress across gender and cultural contexts. Across more than 200 publications, her 2023-2025 output reveals a concentrated emphasis on: (1) social determinants of cognitive health and dementia disparities; (2) culturally adapted caregiver interventions for Arab-American and minority families; (3) longitudinal trajectories of social convoys and their protective effects on cognition; (4) cross-national analyses of work expectations and mental health in later life; and (5) neighborhood and migration influences on aging immigrants. These themes collectively advance a contextual, life-course understanding of how macro-social conditions interact with micro-level social ties to produce differential aging outcomes. Scientific Awards & Leadership: Past-President, Adult Development & Aging (APA Div 20) Past-President, Gerontological Society of America 2001 APA Division 20 Master Mentor Award President-Elect, Society for the Study of Human Development Council Member, International Association of Gerontology Elected Member, American Academy of Arts & Sciences (2025) Grants, Doctoral Training & Labs: Antonucci has been continuously funded by NIH and private foundations for large-scale longitudinal surveys and intervention trials, including the ongoing “Social Relations and Health across the Life Span” second-wave data collection. She mentors doctoral students in the Psychology of Aging Graduate Training Program and is affiliated with the Life Course Development Program and the ISR Survey Research Center; her research group applies advanced multilevel and structural-equation modeling to study how social factors compound or buffer cognitive and health disparities over decades.
Professor Beatrice D'Ippolito holds the Chair in Strategic Management and Innovation at the University of York's York Management School, within the School for Business and Society. Her research bridges micro-level firm dynamics and meso-level industry evolution, focusing on knowledge creation, inter-firm collaborations, and digital transformation. She has conducted qualitative and archival studies across sectors including design-intensive industries, energy technologies, and research infrastructures in Europe. Education: PhD in Economics and Management of Innovation, University of Manchester (ESRC Fellowship) MRes, University of Manchester (ESRC Fellowship) MSc, Università Cattolica del Sacro Cuore, Italy BBA, University of Lancaster, UK Research Interests: Firm and industry-level knowledge systematisation Design as a strategic and innovative process Impact of digital technologies on creative industries Inter-firm collaboration and innovation ecosystems Her work explores how organizations leverage digital tools and design-driven approaches to innovate, with recent trends addressing climate adaptation strategies and the 'dark side' of business model innovation. She contributes to editorial boards of Research Policy and Journal of Management Studies . Grants and Projects: Principal Investigator for ESRC-funded project on skill mismatch at the BBC (2024-2026) Co-investigator for study on digital platforms in film distribution (2016-2017) Professor D'Ippolito advises PhD candidates in design and innovation management, emphasizing digital technologies' organizational impacts. She leads the 'Risk, Innovation, and the Economy' research theme and engages in global collaborations, including at the French GIANT campus and Tenerrdis cluster.
Allan Stensballe is an Associate Professor at Aalborg University's Department of Health Science and Technology, affiliated with The Faculty of Medicine. His research focuses on translational pain neuroscience and precision health, particularly in biomarker discovery and proteomics. He leads projects such as the Danish C-HPP node under HUPO and the PLATO National Platform for Proteomics and Biomedical Imaging. His work integrates clinical and basic science to address autoimmune diseases, infectious disorders, and transgender health. Key research interests include proteomic profiling of inflammatory conditions (e.g., rheumatoid arthritis, spondyloarthritis), autoantibody-driven diagnostics, and translational applications of proteomics in precision medicine. He has contributed to studies on biomarkers for prosthetic joint infections, gender-affirming hormone therapy outcomes, and microbial pathogenesis (e.g., Klebsiella pneumoniae). Dr. Stensballe has secured funding for 24 active and completed projects, including collaborations with industry partners via EUROSTARS. His publications span 238 peer-reviewed articles, emphasizing biomarker discovery, proteomics, and clinical translational research. He actively contributes to conferences, serves on review committees, and supervises 7 PhD students. His work aligns with UN SDGs related to health and well-being (SDG 3) and partnerships for the goals (SDG 17). Labs/Teams: Translational Pain Neuroscience and Precision Health (TPNP) group, Neuroboost initiative.
Federico Siano is an Assistant Professor of Accounting at the University of Texas at Dallas (UT Dallas), affiliated with the Jindal School of Management. His research focuses on the intersection of accounting disclosures, textual analysis, and macroeconomic factors, leveraging machine learning and big data methods to explore topics like systematic risk, investor behavior, and financial reporting practices. His work investigates how firms' disclosures influence market perceptions and risk premiums, with a particular emphasis on applying advanced analytical techniques to small datasets. Recent studies include analyses of earnings announcements, macroeconomic discourse in corporate communications, and challenges in financial statement replication. Dr. Siano's research has been published in leading accounting and finance journals, addressing themes such as narrative-driven investing, LLM applications in financial text analysis, and the primacy of numerical data in disclosures.
Dr. Andrew Melbourne is an Associate Professor (Reader) in Healthcare Technologies at King's College London, affiliated with the School of Biomedical Engineering & Imaging Sciences and the Department of Surgical & Interventional Engineering. He leads the MSc/MRes Healthcare Technologies program and focuses on imaging sciences, computational modeling, and placental physiology. His work includes cross-disciplinary collaborations with clinicians to improve understanding of fetal interventions, placental function in conditions like fetal growth restriction, and twin pregnancies. Key projects include MRI advancements for placental and fetal health, funded by organizations such as the Wellcome Trust and NIH. Research interests span medical imaging techniques (MRI, CT), fetal-neonatal brain development, and AI-driven image analysis. Notable contributions include fetal noise exposure modeling, placental perfusion studies, and super-resolution MRI applications for surgical planning. Dr. Melbourne co-leads initiatives like the MIBIRTH study, aiming to optimize pregnancy management through imaging. He has organized workshops on perinatal image analysis and contributed to student prizes in Healthcare Technologies. Publications span over 100 peer-reviewed articles in journals like Nature Communications and NeuroImage, emphasizing placental biology, fetal surgery outcomes, and AI in medical imaging. His work bridges clinical needs with engineering solutions to address maternal-fetal health challenges.
Andreas Bayerl is an Assistant Professor of Marketing at the Erasmus School of Economics, Erasmus University Rotterdam. He holds a PhD in Quantitative Marketing from the University of Mannheim and conducts interdisciplinary research at the intersection of digital behavior, consumer psychology, and data science. His research focuses on how individuals generate, process, and are influenced by digital information, particularly in the context of online reviews and influencer marketing. Using a mixed-method approach—combining large-scale observational data, text and image analysis, and field and laboratory experiments—Andreas investigates behavioral patterns in digital ecosystems. His work has been published in leading journals including Journal of Marketing , Harvard Business Review , MIT Sloan Management Review , and Nature Human Behavior . The most recent publications reveal a consistent focus on digital influence, credibility, and consumer decision-making. Key themes include the effectiveness of micro-influencers, the psychological impact of fake reviews, multimodal analysis of visual and textual content, and experimental validations of marketing strategies across platforms. His methodological rigor and real-world relevance are evident across these works. Andreas has received significant recognition for his contributions, including: H. Paul Root Award for groundbreaking research in influencer marketing He actively teaches in the area of data science and marketing analytics, contributing to the next generation of analytically skilled marketers. While no formal advisees are listed, his role as an assistant professor suggests involvement in student supervision and academic mentorship. His research program appears to be supported by empirical rigor and industry relevance, though specific grants or lab affiliations are not mentioned in the provided text.
Štefan Rehák is an Associate Professor and Head of the Department of Public Administration and Regional Development at the University of Economics in Bratislava. His academic career focuses on regional development, urban economics, and spatial analysis. He holds a PhD and serves as a ResearchGate profiled scholar in regional sciences. Affiliations: Faculty of Economics and Finance, University of Economics in Bratislava Key Roles: Department Head, Academic Researcher, Educator His research explores human capital migration, innovation ecosystems, and spatial economic dynamics. Specific interests include hedonic pricing models for real estate, local economic impacts of major events, and regional policy effectiveness. Research Trends: Over 60+ publications emphasize urban development, creativity metrics in economies, and EU regional policy analysis. Grants & Projects: Led projects on university impact assessment (UNIREG), creative economy stimulation (KRENAR), and EU cohesion policy evaluations. He advises on regional innovation strategies and collaborates internationally on topics like smart cities and academic patenting trends.
