Alfred Marcus is a Professor and Edson Spencer Endowed Chair in Strategy and Technological Leadership at the University of Minnesota's Carlson School of Management , with a joint affiliation in the College of Science and Engineering 's Technological Leadership Institute. His work spans strategic management, sustainability, and regulatory dynamics across industries. PhD in Business Economics, Harvard University (1977) MA and BA in Economics, University of Chicago (1973, 1971) With over 20 authored or co-authored books and numerous journal publications, Marcus investigates: Environmental and energy policy impacts on business Sustainability-driven innovation and venture capital Strategic foresight for demographic and market shifts Corporate ethics, fraud, and white-collar crime Regulatory compliance in global operations His recent research focuses on corporate comebacks in industries like technology and entertainment, while earlier work analyzed clean energy transitions and demographic influences on entrepreneurship. Articles highlight regulatory pressures, sustainable investment, and policy uncertainty. Notable awards include: Distinguished Scholar Award, Academy of Management ONE Division (2022) Outstanding Book of the Year, Academy of Management ONE Division (2016) Professor Marcus has advised major corporations on strategic challenges and received funding from government agencies. Current projects examine how organizations adapt to technological disruptions and demographic changes.
Susana Peralta is an Associate Professor with Tenure at Nova School of Business and Economics (Nova SBE), where she has been a faculty member since 2004. Specializing in Public Economics and Political Economy with a focus on taxation and fiscal federalism, she contributes to academic discourse through publications in top journals including Journal of Public Economics and The Economic Journal . Her teaching portfolio spans Public Finance, Microeconomics, and Ethics and Economic Policy at both degree and executive levels. Education: PhD in Economics, Catholic University of Louvain (2004) Master's in Economics, Catholic University of Louvain (1999) Degree in Economics, Catholic School of Business and Economics, Lisbon (1997) Her research centers on political economy of taxation , fiscal federalism , and public finance , examining how institutional arrangements affect policy outcomes. Key contributions analyze political selection mechanisms, migration impacts on labor markets, and crisis responses in dual labor systems. Recent work leverages natural experiments and electronic payment data to study pandemic effects on regional economies. Peralta's publication trajectory reveals consistent focus on tax competition, political economy, and fiscal decentralization, with increasing attention to migration shocks and crisis resilience since 2020. Her empirical work in European Economic Review and Journal of Regional Science demonstrates methodological versatility across theoretical modeling and real-world data analysis. No scientific awards were explicitly documented in source materials. She has held significant academic leadership roles including Academic Director for Master's in Economics, Master's in Research, and PhD in Economics programs. Currently serving on the PhD in Economics and Finance management committee, she mentors future economists while securing research funding as Principal Investigator from the Portuguese Science Foundation. Affiliated with Nova SBE's Economics for Policy Knowledge Center, she bridges academic research and policy formulation, contributing evidence-based insights to Portuguese economic debates through Público newspaper columns.
Nicklas Salomonson , Professor in Business Administration at the University of Borås, specializes in digital retail and service research. Affiliated with the Faculty of Textiles, Engineering and Business, he leads research at the Service Research Centre (SAMOT VINN Excellence Centre) and contributes to fields like consumer vulnerability, embodied interaction, and sustainable consumption. Education: PhD in Business Administration from University of Gothenburg (2005) Supervision: Principal supervisor for Stavroula Wallström, assistant supervisor for Ann Vellesalu His research examines disabling marketplaces through embodied interaction frameworks, analyzing how physical environments and multimodal communication affect marginalized consumers. Recent work explores transformative service research, focusing on enabling/disabling market mechanisms for vulnerable populations in healthcare and transportation contexts. Key publications in Journal of Marketing Management , Industrial Marketing Management , and Journal of Cleaner Production reflect trends in: Customer misbehavior in digital retail Value co-destruction dynamics Sustainable consumption patterns Technology-mediated service encounters Scientific contributions include: Recipient of Kenth Pettersson's Memorial Fund (2016) Scopus Author ID 23974839300 ORCID 0000-0001-9159-4593 As principal investigator, he has secured funding from the Swedish Research Council (VR), Forte, the Knowledge Foundation, and the Swedish Retail and Wholesale Council. Current research investigates how physical-digital hybrid environments reshape service systems for vulnerable consumers, with methodological expertise in qualitative and ethnographic approaches.
Professor Xiaohui Liu is a distinguished Professor of Computing at Brunel University London, serving within the Computer Science department of the College of Engineering, Design and Physical Sciences. He maintains his office in the Wilfred Brown Building (Room 218) and has established himself as a leading figure in intelligent data analysis and artificial intelligence research. With over 20 years of academic leadership, Professor Liu has held significant visiting appointments including Honorary Pascal Professor at Leiden University (2004), Visiting Scientist at Harvard Medical School (2005), and Visiting Professor at the Chinese Academy of Sciences (2010). Professor Liu's research spans intelligent data analysis, deep learning, dynamical systems, human factors, innovative AI applications, optimisation, statistical pattern recognition, and trustworthy decision making. His work bridges theoretical advances with practical implementations across various industries, demonstrating exceptional translational impact. He has pioneered approaches that integrate artificial intelligence with data science to enable effective data interpretation and trustworthy decision-making systems, with applications spanning healthcare, manufacturing, and business domains. Analysis of Professor Liu's recent publications reveals a strong focus on transformer architectures, transfer learning, and optimization techniques applied to real-world problems. His work demonstrates consistent innovation in neural network architectures, particularly for anomaly detection, fault diagnosis, and recommendation systems. The publications show interdisciplinary applications spanning manufacturing, healthcare, digital marketing, and network science, reflecting his commitment to solving practical challenges through advanced computational methods. Clarivate Highly Cited Researcher for 11 consecutive years (2014-2024) World's top 2% of scientists by Stanford University (2020-2024) ScholarGPS Highly Ranked Scholar – Lifetime: Neural Network (2022-2024) Daniel Berg Award (2023) Research.com United Kingdom Leader Award in Computer Science (2023-2025) IDA Founders Award (2025) Professor Liu has secured substantial research funding from diverse sources including the European Commission, Innovate UK, Royal Society, and EPSRC. His current projects include AI-assisted tax assessment, intelligent data-driven pipelines for manufacturing certified metal parts, and maintenance models for zero-unexpected-breakdowns. He leads collaborative efforts through knowledge transfer partnerships with industry partners like Veritas Advisory Limited and has directed multiple European Commission-funded initiatives focused on IoT platforms, water resource management, and predictive maintenance systems. His research group actively mentors PhD students and collaborates with international partners across multiple continents. Professor Liu leads research activities within the IEHS and CSSB research groups at Brunel University, fostering interdisciplinary collaboration between computer scientists, engineers, and domain experts. His teams integrate expertise in neural networks, optimization algorithms, and statistical pattern recognition to develop innovative solutions for complex real-world problems. The research environment emphasizes both theoretical rigor and practical application, with strong industry partnerships ensuring that research outputs deliver tangible societal and economic impact.
Panos Louvieris serves as Professor of Information Systems at Brunel University London within the Department of Computer Science, College of Engineering, Design and Physical Sciences. He leads the Defence & Cyber Security (DCS) research group and holds co-directorship roles at the Brunel Intelligent Digital Economy and Society (IDEAS) Research Centre and the Trusted Open Models Institute (TOMI) at the Hartree Centre. His academic profile includes committee membership in the EPSRC Digital Personhood Network, EPSRC ITaaU+ Network, and NEMODE+ Network, reflecting his influence in UK research infrastructure. His research spans cybersecurity, data fusion, and computational finance with emphasis on cyber situational awareness, explainable AI, and distributed ledger technologies. Recent work integrates agent-based simulation for pandemic modeling, Markov models for threat prediction, and social media analysis for security awareness. This interdisciplinary approach bridges computer science, operations research, and social sciences to address defense, finance, and public health challenges through advanced computational models. Analysis of his publication trajectory reveals evolving focus from foundational information fusion (2005-2010) to cyber-physical systems (2010-2015), with current emphasis on digital personhood markets (2020-present). His most recent publications demonstrate methodological innovation in blockchain applications for tax compliance and geospatial pandemic modeling, while maintaining core expertise in cyber defense analytics. Louvieris actively supervises research and collaborates with institutions including the Hartree Centre and EPSRC networks. His grant portfolio features the EPSRC-funded Digital Personhood project (2013-2016), Innovate UK's Contact Tracing project (2020-2021), and current leadership of the EPSRC Making Tax Smart initiative (2022-2023) exploring distributed ledger technology for central bank digital currency compliance. He directs the Defence & Cyber Security research group and co-leads the IDEAS Research Centre, fostering cross-disciplinary work on digital economy challenges. Current projects involve HSBC sandbox testing of Open Banking prototypes and development of futures markets for digital personhood data, positioning his team at the intersection of cybersecurity, FinTech, and societal digital transformation.
Debra Jeffree is a Principal Lecturer and Joint Course Director for the BA Business Management program at Coventry University's Coventry Business School within the Faculty of Business and Law. She serves as Year 3 Tutor for Business Management students and teaches business law and employability skills to undergraduate business students. Dr. Jeffree holds a Law LLB (Hons) degree (1982) and a Further and Higher Education Teaching Certificate (Part 1, 1984). She was awarded Senior Fellow status with the Higher Education Authority in 2016. Prior to her academic career, she gained extensive professional experience in consumer advice, criminal justice mediation, and residential conveyancing in private practice. She has also served as a consultant and external examiner for the National Association of Estate Agents. Her research focuses on solicitor management and training needs, particularly addressing gaps identified in the Solicitors Regulation Authority's 2013 Legal Education and Training Report. She has led negotiations with the Warwickshire Law Society to develop workshops helping local solicitors maintain their practicing certificates by meeting SRA Competency Statement requirements. Dr. Jeffree teaches several key modules including Employability Skills, Legal Aspects of Management Responsibility, Legal Aspects of Responsible Leadership, and Professional Etiquette across various business programs. Her expertise spans Business Law, Employability Skills development, and Undergraduate recruitment and admissions processes, including Clearing. Senior Fellow HEA (2016) Dr. Jeffree has held numerous academic, professional, and managerial responsibilities throughout her career. She has taught a wide range of subjects beyond business law, including Land and Property Law, Business Organisations, and Principles of English Law. Her practical legal experience informs her teaching approach, bridging theoretical knowledge with real-world application in the business context.
Dr. Barry Silverman serves as the Schlobach Distinguished Chair in Business at Marist College's School of Management, bringing 30 years of expertise as an educator and marketing consultant for Fortune 500 companies. A featured speaker at the American Marketing Association, he uniquely integrates commercial enterprise, business consulting, and academic experience to analyze contemporary business and cultural trends. His academic credentials include: PhD in International Business from International School of Management (2023) MBA in Marketing from Fairleigh Dickinson University (1995) BA in Economics and English from Rutgers College (1987) Dr. Silverman's research examines the intersection of socio-economic dynamics, generative AI, and marketing strategy. He investigates how cultural shifts impact consumer behavior and brand decision-making, while pioneering applications of AI in marketing processes. His work bridges theoretical frameworks with real-world business challenges across global contexts. His publication portfolio reveals a trajectory toward technology-driven marketing analysis, particularly in healthcare and international trade domains. Recent works emphasize data-centric approaches to brand strategy while maintaining focus on core relationships between corporate identity and business outcomes in evolving economic landscapes. His academic recognition includes: Teaching Excellence Award as Highest Rated Marketing Instructor in NYU Program (2015) Dr. Silverman actively shapes practical marketing education through course development and student mentorship. His initiatives include revitalizing Branding and Integrated Communications curricula, designing the internationally deployed Advanced Brand Strategy course, and establishing collaborative networks connecting students with local enterprises for real-world projects. He founded The NYU BrandLab student blog to foster professional dialogue and content creation within the marketing discipline. He leads The NYU BrandLab initiative, creating platforms for students to engage with marketing professionals while producing industry-relevant content that advances disciplinary knowledge and practical application.
Remco Havermans serves as Professor holding a special chair in Youth, Food, and Health at Maastricht University's Campus Venlo within the Faculty of Science and Engineering. He maintains dual appointments through the Laboratory of Behavioural Gastronomy at the Centre for Healthy Eating and Food Innovation and the Section Eating Disorders and Obesity in Clinical Psychological Science (Faculty of Psychology and Neuroscience). His research program focuses on establishing healthier dietary habits in children through behavioral psychology approaches. Havermans' expertise centers on the psychology of eating, specifically investigating why individuals consume certain foods with emphasis on taste perception mechanisms and eating behavior patterns. His work examines sensory experiences, satiation dynamics, learned food preferences, snack food appeal in relation to overweight, and public health interventions for obesity prevention. Key investigations include how boredom drives maladaptive eating, tactile sensitivity influences food rejection in children, and cultural contexts shape acceptance of novel foods like insect-based products. Recent publication trends reveal concentrated exploration of behavioral gastronomy, sustainable food transitions, and pediatric nutrition challenges. His research bridges sensory science with public health, addressing food waste reduction in hospitals, chemosensory changes in pediatric cancer patients, and experiential nutrition education for children. Distinctive themes include the behavioral immune system's role in food refusal, personalized dietary strategies, and cross-cultural comparisons of health claim effectiveness. As founder and research leader of the Laboratory of Behavioural Gastronomy, Havermans directs interdisciplinary teams developing evidence-based strategies for food acceptance and innovation. The laboratory's work integrates sensory evaluation, behavioral experiments, and real-world interventions to tackle contemporary nutrition challenges from childhood feeding to sustainable food systems.
Prof. Dr. Christoph M. Flath is the Chair of Business Information Systems and Business Analytics at Julius-Maximilians-Universität Würzburg's Faculty of Management and Economics (Department of Business Management). He has held this position since April 2018, previously serving as Junior Professor for Operations Management at the same institution (2014-2018). His academic journey includes leadership roles at the Karlsruhe Institute of Technology where he headed the Smart Grids and Energy Markets division. Education: Doctorate (with distinction) in Economics, Karlsruhe Institute of Technology (2013) Diploma in Industrial Engineering (with distinction), University of Karlsruhe (2008) Study abroad program at University of Toronto, Canada (2006-2007) Research Focus: Prof. Flath's work bridges business analytics, operational optimization, and information systems, with applications in energy markets, supply chains, and industrial data science. His research employs advanced quantitative methods to solve complex problems in smart grids, sharing economies, and digital innovation ecosystems. Awards and Honors: Doctoral dissertation awarded with distinction Diploma in Industrial Engineering awarded with distinction Team Leadership: Directs research group including six team members (Bianca Hartmann, Robin Derzbach, Aabhash Dhakal, Nico Elbert, Tim Lachner, Nikolai Stein), focusing on business analytics applications across industrial domains.
Dr. Teresa Wilcox is a Professor in the Department of Psychology at Florida Atlantic University's Charles E. Schmidt College of Science. Her research focuses on infant cognition, perception, and the functional organization of the infant brain, particularly in understanding social and mechanical entities. She employs advanced methodologies such as violation-of-expectation, eye tracking, action tasks, and functional near-infrared spectroscopy (fNIRS). Ph.D., Psychology, University of Arizona (1993) M.S., Child Development, University of California, Davis (1988) B.A., Psychology, Bethel University (1985) Her work explores how infants acquire knowledge about physical, mechanical, and social entities, with a strong emphasis on neural activation patterns and behavioral responses. Recent publications highlight her expertise in fNIRS signal analysis, infant-mother synchrony, and object individuation. Dr. Wilcox leads the Infant Cognition and Language Lab (ICLAB), where her team investigates brain dynamics in early development. Dr. Wilcox's research trends include tensor decomposition for fNIRS data, social perception in neuromarketing contexts, and the role of visual cues in infant cognition. Her work bridges cognitive science, neuroscience, and developmental psychology, contributing foundational insights into early knowledge acquisition.
Kim de Laat is an Assistant Professor of Organization and Human Behaviour at the Stratford School of Interaction Design and Business , University of Waterloo. As a sociologist specializing in work and culture, her research interrogates inequality and uncertainty within creative and knowledge-based organizations, with particular focus on remote and hybrid work arrangements. Her work explores: Gender inequality mechanisms in post-bureaucratic work environments Intersectional analysis of creative labor dynamics Cultural politics of technological transitions Policy implications for family-work reconciliation Structural barriers in music and IT industries Key article trends show consistent examination of: Remote/hybrid work equity Racial/gender gaps in funding mechanisms Postfeminist representations in media Digital labor transformation Cultural canonization processes Care work intersectionality Scientific recognition includes: 2024 Rosabeth Moss Kanter Award Nominee for Work-Family Research SSHRC-funded research projects Dr. de Laat holds Sole-Supervisory Privilege Status and mentors students in work and inequality studies through collaborative research opportunities.
Dr. Kirrilly Pursey is a Lecturer in Nutrition and Dietetics at the School of Health Sciences , University of Newcastle. As an Accredited Practising Dietitian and early career researcher , her work bridges clinical practice with multidisciplinary research in food addiction , neuroimaging , and pediatric nutrition . Education: PhD and Bachelor in Nutrition and Dietetics from University of Newcastle. Research Focus: Investigates addictive-like eating behaviors , dietary impacts on immune function , and prevention of eating disorders in schools . Key collaborations include international institutions like University of Michigan and Western Sydney University. Publications: Over 40 peer-reviewed articles in high-impact journals, including systematic reviews on food addiction , neural responses to food , and nutrition in immunodeficient children . Scientific Awards: Recognized with HMRI ECR Excellence Award (2024), UoN CHMW ECR Award (2022), and multiple grants. Clinical Practice: Serves as Clinical Allied Health Conjoint with Hunter New England Health, integrating real-world insights into research. Supervision of honors students and clinical teaching in Clinical Nutrition and Pediatric Dietetics further strengthens her translational approach.
Niina Hernández is a University Lecturer at the Department of Textile Technology within the Academy of Textiles, Technology and Economics at the University of Borås. She has been affiliated with the university since 2011, initially serving as a training leader and teacher for Design Techniques while completing her doctoral studies. Education: Textile teacher's degree Licentiate in fit for deviant figures from the University of Gothenburg (Thesis: "Tailoring the Unique Figure") Doctoral thesis: "Does it really fit?" Research Interests: Hernández specializes in the mathematical, virtual, and physical aspects of garment fit. Her work spans systems for product development and production, software for custom-made clothing manufacturing, and virtual fit evaluation methodologies. Core research areas include Textile Engineering, Garment Fit, Virtual Fitting, Custom Clothing Production, Smart Textiles, and Wearable Technology, with emphasis on bridging theoretical models with practical applications. Publication Trends: Her 15 most recent publications (2014-2023) demonstrate concentrated expertise in garment fit prediction, smart textile sensors, and wearable health monitoring systems. Key themes include deep learning for textile degradation analysis, virtual sizing solutions, sensor integration for neurological disorders, and sustainable fashion technologies. The work consistently bridges textile engineering with computer science and healthcare applications, showing progression from theoretical fit modeling to real-world implementations in neurorehabilitation and UN collaborations. Research Projects and Funding: wearITmed: Funded by the Swedish Foundation for Strategic Research (SSF) for neurorehabilitation garments Digimode: Vinnova-funded project extending EC-supported "from Roll to Bag" circular fashion initiative SIIR: Industry collaboration projects for textile companies UN Collaboration (2024-2025): Development of guide clothing for UN headquarters in New York with design students Teaching and Advising: Hernández has instructed Design Techniques since 2011 and mentored students in high-impact projects like the UN guide clothing collection. Her teaching integrates industry experience from CAD/CAM systems development and women's apparel production. Laboratory and Team Involvement: She is a core member of the WearITmed Consortium developing sensor-based garments for neurological rehabilitation. Her work with SIIR facilitates industry-academia knowledge transfer, while the UN project demonstrates applied design leadership in international contexts.
Rikard König is an Associate Professor at the University of Borås, Faculty of Librarianship, Information, Education and IT, Department of Information Technology. His research focuses on finding stories and connections hidden in large datasets, with specialization in machine learning, data analysis, and predictive modeling techniques. Dr. König's research interests include: Machine Learning and Predictive Analysis Genetic Programming and Rule Extraction Data Stream Mining and Real-time Analytics Sports Analytics, particularly Golf Swing Analysis Retail Analytics and Customer Understanding Model Interpretability and Constraint-based Learning His work demonstrates a consistent theme of developing machine learning tools that balance accuracy with interpretability while incorporating domain-specific constraints. His publications reveal a diverse application portfolio including golf swing analysis using radar data, fuel consumption modeling in trucks, and sales forecasting in the apparel industry. This cross-domain applicability highlights the generalizability of his research approaches. Dr. König has led and participated in several significant research projects including Big Data Analytics by Online Ensemble Learning (BOEL) and Golf data analysis (GOATS), funded by the Knowledge Foundation. His work often involves collaboration with industry partners, particularly in the automotive and sports technology sectors. His research methodology emphasizes creating models that adhere to domain expert constraints while maintaining predictive performance, as demonstrated in his 2015 paper on regression trees with variable restrictions that was validated in both golf instruction and truck fuel consumption contexts.
Dr. Ian Lambert is an Associate Professor at the School of Arts and Creative Industries, Edinburgh Napier University , with a focus on design pedagogy, sustainability, and interdisciplinary collaboration. His work bridges craft practices with industrial processes in undergraduate product design and explores cross-cultural teaching strategies. Key research areas include: Design Education : Shared curricula, multi-disciplinary studio projects (e.g., high-speed train toilet design), and pedagogical innovation. Sustainability : Ethical implications of design in developing contexts (e.g., Dodoma region of Tanzania). Transmedia & Digital Arts : Projects like Leaving Planet Earth (SFC Follow-on Voucher) integrating physical/virtual museum experiences. Recent publications trend toward practice-based research , knowledge exchange, and consultancy-driven design innovation. Notable collaborations include work with Historic Scotland and Gridiron Theatre Company. Scientific awards and distinctions: Senior Fellow of the Higher Education Academy (SFHEA) Fellow of the Royal Society of Arts (FRSA) He supervises industry-academia projects funded by bodies like the Scottish Funding Council and contributes to annual design exhibitions showcasing practice-informed teaching.
