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Sarah L. SzantonView profile

Professor

• Aging
• Gerontology
• Health Equity
• +8 more

Sarah L. Szanton is the Dean of the Johns Hopkins School of Nursing and holds the Patricia M. Davidson Professorship for Health Equity and Social Justice. She also maintains a joint appointment in the Department of Health Policy and Management at the Johns Hopkins Bloomberg School of Public Health and the Johns Hopkins School of Medicine. Under her leadership, the Johns Hopkins School of Nursing is ranked No. 1 nationally by U.S. News & World Report for its master's and doctor of nursing practice programs. Dr. Szanton earned her BA in African American Studies from Harvard University in 1988, followed by a BSN from Johns Hopkins School of Nursing. She completed her MSN at the University of Maryland in 1998 before returning to Johns Hopkins for her PhD in Nursing Science. Dr. Szanton's research focuses on health equity, aging in community, and the social determinants of health. She is particularly known for her work on the CAPABLE program (Community Aging in Place—Advancing Better Living for Elders), which addresses environmental challenges faced by older adults through a combination of nursing, occupational therapy, and handyworker services. Her research also examines the impact of financial strain on health outcomes and the measurement of structural racism and resilience across the life course. Dr. Szanton's extensive publication record demonstrates a consistent focus on improving health outcomes for low-income older adults through community-based interventions. Her work bridges clinical practice, policy, and environmental modifications to address health disparities. A recurring theme in her research is the intersection of socioeconomic factors with health outcomes in aging populations, particularly how financial constraints and structural racism impact health and disability. Dr. Szanton has received numerous prestigious awards including: Election to the National Academy of Medicine (2021) Heinz Foundation Human Condition Award (2019) Sigma Theta Tau International Nurse Researcher Hall of Fame (2019) Edgerunner Award from the American Academy of Nursing (2017) Top 50 "Influencers in Aging" by Next Avenue (2016) As a researcher, Dr. Szanton has been Principal Investigator on more than $20 million in grants from the National Institutes of Health, the Center for Medicare and Medicaid Services Innovation Center, and the Robert Wood Johnson Foundation. She has mentored numerous doctoral students and established programs like the Pathway to PhD Nursing Scholars Program to accelerate diversity within PhD-prepared nurses. As Dean, she launched the Policy Honors Program to develop student advocacy skills in health policy. Dr. Szanton is core faculty at the Center on Aging and Health and Hopkins Center for Health Disparities Solutions. She co-developed the CAPABLE program, which is now active in 23 states, and directs the Johns Hopkins School of Nursing's Center for Innovative Care in Aging. Her work through the Hopkins Housing & Health Collaborative and the Center for Equity in Aging focuses on translating research into practical interventions that help older adults age in their communities.

• Economic Policy
• Gender Equality
• Labor Economics
• +4 more

Tindara Addabbo is a Full Professor at the Department of Economics 'Marco Biagi' of the University of Modena and Reggio Emilia. Her academic roles include teaching and research in economic policy, labor economics, and gender equality. She coordinates courses such as 'Introduction to Macroeconomics,' 'Sustainability Report,' and 'Labour and Industrial Economics' at both undergraduate and master's levels. Her research focuses on gender wage gaps, LGBTQI+ workplace inequalities, gender budgeting, and inclusive teaching methodologies like Team-Based Learning (TBL). Her educational background aligns with her academic career, though specific details are not explicitly stated. She actively participates in institutional reforms to promote gender equality in academia, including the development of Gender Equality Plans (GEPs) and gender-auditing frameworks. Research interests span labor market dynamics, policy impacts on well-being, and sustainable development goals. Notable projects include analyzing gender disparities in wages and employment, the role of corporate policies in reducing inequality, and the effects of the green transition on work quality. Her publications emphasize evidence-based approaches to gender equality, academic inclusivity, and policy evaluation. She collaborates with international organizations and contributes to EU initiatives on social and economic policy.

Sami KajaloView profile

Senior Lecturer

• Corporate Social Responsibility
• Brand Loyalty
• Marketing Strategy
• +4 more

Sami Kajalo is a Senior University Lecturer at the Department of Marketing, Aalto University School of Business, and an Adjunct Professor of Marketing at the University of Helsinki. His research focuses on corporate social responsibility (CSR), brand loyalty, marketing strategy, retailing, and digital marketing, with a methodological emphasis on structural equation modeling (SEM). He has contributed over 117 publications, including works on consumer motivations in collaborative consumption, the strategic role of market orientation, and the impact of ethical leadership in retail environments. Kajalo teaches at both Aalto University’s Business School and its Executive Education DBA program. His academic journey includes a doctoral degree from the Helsinki School of Economics (2002), a licentiate (1993), and a master’s degree (1990) in Business and Economics. Research Interests: Kajalo’s work explores the intersection of psychological traits and CSR perceptions, particularly how these influence brand loyalty. He investigates arts marketing, digital transformation in retail, and the integration of CSR into strategic frameworks. His research methodologies prioritize empirical analysis to advance theoretical contributions in marketing disciplines. Article Trends: Recent publications highlight themes such as ethical dimensions in online retailing, market orientation as a competitive tool, and consumer behavior in sharing economies. His work often bridges theoretical frameworks with practical implications for retail strategy and organizational performance. Academic Engagement: Kajalo has collaborated internationally, including visiting researcher roles at Hokkaido University and hosting academic visitors. His expertise contributes to sustainable development goals related to responsible consumption and production (SDG 12) and quality education (SDG 4).

Kristian J. HammondView profile

Professor

• Artificial Intelligence
• Natural Language Generation
• Narrative Generation
• +7 more

Kristian J. Hammond is the Bill and Cathy Osborn Professor of Computer Science at Northwestern University's McCormick School of Engineering. He directs both the Master of Science in Artificial Intelligence Program and the Center for Advancing Safety of Machine Intelligence (CASMI). His research focuses on artificial intelligence, natural language generation, narrative generation, conversational interfaces, and ethical AI applications across domains like law, education, and journalism. Hammond co-founded Narrative Science, leveraging AI for automated journalism from data. Education: PhD, MS, and BA in Philosophy (all from Yale University). His work spans technical innovation and societal impact, with notable contributions to AI transparency, bias mitigation, and machine learning ethics. Hammond has authored influential articles on AI governance, conversational systems, and the future of work in an automated economy. His leadership roles emphasize interdisciplinary collaboration between computer science, business, and humanities. Research highlights include developing AI systems that enhance human capabilities, exploring ethical frameworks for machine intelligence, and advancing AI safety through initiatives like CASMI. He frequently engages in public discourse via TEDx talks and commentaries on AI's societal implications, emphasizing the need for human-centered technology design.

• Corporate Governance
• Ownership Structure
• Board of Directors
• +3 more

Professor Katsuyuki Kubo serves as a faculty member at Waseda University's Faculty of Commerce, School of Commerce. Holding a Ph.D. in Industrial Relations from the London School of Economics, he has been affiliated with Waseda University since 2003, following his position as Lecturer at Hitotsubashi University's Institute of Economic Research from 2000 to 2003. His academic career demonstrates consistent focus on Japanese corporate governance structures and their economic implications. Professor Kubo's research interests center on Corporate Governance, Ownership Structure, Board of Directors, Executive Compensation, and Employment Relations. His scholarly work examines how corporate governance mechanisms affect firm performance, employee welfare, and broader economic outcomes in Japan and East Asia. He has conducted extensive empirical analyses on the relationship between board composition and employment practices, executive compensation structures, and the impact of foreign ownership on Japanese firms. His publication record reveals a clear trajectory of increasingly sophisticated research on corporate governance. Early work focused on basic relationships between executive compensation and firm performance, while more recent research examines nuanced aspects including female representation on corporate boards, decent work policies, and the impact of sovereign wealth funds. His studies often employ rigorous quantitative methods using large datasets of Japanese listed companies, contributing significantly to our understanding of the unique characteristics of Japanese corporate governance. Professor Kubo has led multiple significant research projects funded by the Japan Society for the Promotion of Science, including 'Corporate Governance Reforms and their Consequences' (2019-2024) and 'The impact of board composition on employment' (2020-2023). His work bridges theoretical frameworks with practical implications for corporate governance reform in Japan. He teaches courses including Managerial Economics, Corporate Governance and M&A, and Data Science and Business Research at both graduate and undergraduate levels. His educational contributions extend to authoring textbooks such as 'Statistics and Data Analysis for Business Administration' (2021), demonstrating his commitment to developing analytical skills among business students.

Pradeep LallView profile

Professor

• Flexible Hybrid Electronics
• Harsh Environment Electronics
• Semiconductor Packaging
• +7 more

Pradeep Lall is the MacFarlane Endowed Distinguished Professor and Alumni Professor in the Department of Mechanical Engineering at Auburn University’s Samuel Ginn College of Engineering. He serves as Director of the Auburn University Electronics Packaging Research Institute (EPRI) and holds a joint courtesy appointment in the Department of Electrical and Computer Engineering. A leader in flexible hybrid electronics and harsh environment systems, Dr. Lall has built a world-renowned research program focused on additive manufacturing, electronics reliability, and sustainable materials. Ph.D. in Mechanical Engineering, University of Maryland M.B.A. in Finance and Strategy, Northwestern University M.S. in Mechanical Engineering, University of Maryland B.E. in Mechanical Engineering, Delhi College of Engineering Dr. Lall’s research centers on Flexible Hybrid Electronics (FHE) , Harsh Environment Electronics , Semiconductor Packaging , and Prognostics Health Management . His work leverages additive manufacturing techniques such as Aerosol-Jet, InkJet, and screen printing to develop conformal, robust, and sustainable electronic systems. His innovations include the Flexible Biometric Band for monitoring workers in hazardous environments and additively printed antennas for aerospace applications. His recent focus includes eliminating PFAS from electronics and developing water-based inks for eco-friendly manufacturing. The 15 most recent publications reflect a strong trend toward sustainability , additive manufacturing , and real-world applications in defense, aerospace, automotive, and healthcare. His work bridges fundamental research with industrial realization, particularly through partnerships with NextFlex and federal agencies. Themes include reliability under shock and vibration, sensor development for extreme environments, and workforce training in advanced manufacturing. Dr. Lall has received numerous scientific honors, including: SMTA Founder’s Award (2024) SEMI FlexTech R&D Achievements Award (2023) ASME Avram Bar-Cohen Memorial Medal (2022) IEEE Biedenbach Outstanding Engineering Educator Award (2020) IEEE Sustained Technical Contributions Award (2018) NSF Alex Schwarzkopf Prize (2016) Fellow of ASME, IEEE, NextFlex, and Alabama Academy of Science Dr. Lall has secured over $2 million in annual research funding from SRC, NSF, and NextFlex, leading large-scale projects on sustainable electronics and workforce development. He mentors numerous graduate and undergraduate students and leads the NSF-CAVE3 Center. As founding faculty advisor of the SMTA student chapter, he promotes student engagement in electronics manufacturing. His lab, EPRI, features a full prototyping line for additive electronics and collaborates with industry and government to advance domestic manufacturing capabilities. EPRI, under Dr. Lall’s leadership, partners with the Auburn University Research and Technology Park, the Office of Economic Development, and multiple colleges to drive technology commercialization and workforce education in electronic packaging. The institute is at the forefront of the national effort to reestablish U.S. leadership in semiconductor packaging and advanced electronics manufacturing.

Sendil EthirajView profile

Professor

• Strategic Management
• Innovation
• Competitive Strategy
• +3 more

Sendil Ethiraj is a Professor of Strategy and Entrepreneurship at London Business School (LBS) and serves as Deputy Dean (Faculty). Originally from India, he earned his PhD in Management from The Wharton School at the University of Pennsylvania. Prior to joining LBS, he spent over a decade as faculty at the Ross School of Business, University of Michigan. His research focuses on strategic management, covering innovation processes, competitive strategy, organizational design, human capital management, and technology-driven industry transformation. He has extensively studied innovation in complex systems across sectors like oil and gas, mutual funds, and healthcare insurance. His work addresses organizational structures for capability development, employee goal alignment, and platform governance in digital ecosystems. At LBS, he contributes to academic leadership as a member of the Governing Body since 2022. His initiatives emphasize designing reward systems to attract global research faculty and advancing diversity, inclusion, and belonging through the LBS Advisory Board. He teaches core courses in LBS's Master's, Executive Education, and PhD programs. Key research areas: Innovation in unconventional industries Human capital dynamics Platform governance Strategic response to technological disruption Organizational design for complex systems Contact: sethiraj@london.edu

Asieh Hosseini TabaghdehiView profile

Senior Lecturer

• Digital Transformation
• Artificial Intelligence Ethics
• Smart Data Governance
• +7 more

Dr. Asieh Hosseini Tabaghdehi is a Senior Lecturer in Strategy & Business Economy at Brunel Business School, Brunel University of London. She serves as Programme Lead for the BSc International Business Programme and Trade2Grow Executive Education Programme. Additionally, she is Impact Lead at the Brunel Centre for AI: Social and Digital Innovation, where she leads the capability area in the Future of Work. Dr. Tabaghdehi is also an economist and social impact advisor for the independent NGO, Social Innovation Movement. Dr. Tabaghdehi earned her PhD in Economics and Finance (2008) and MSc in International Money, Finance, and Investment (2015), both from Brunel University London. She also holds a BA in Theoretical Economics from University of Mazandaran. She completed the Postgraduate Certificate in Academic Practice and is a Fellow of the Higher Education Academy. Dr. Tabaghdehi is internationally recognized for her research on digital transformation, with particular expertise in the ethical integration of artificial intelligence and digital technologies. Her work focuses on how emerging technologies shape industries, labor markets, and society, with emphasis on enhancing SME growth through technological innovation. She explores applications across critical sectors including social care, supply chain management, and environmental sustainability. A central theme in her research is smart data governance, ensuring ethical, transparent, and responsible use of data in decision-making processes. Her research portfolio demonstrates a consistent focus on the intersection of technology, ethics, and business strategy. She has developed frameworks like the Digital Business Auditing Framework, which has been adopted internationally for smart city initiatives. Her work connects academic research with practical policy applications, as evidenced by her presentations as oral and written evidence to the House of Commons Select Committee. Her publications span AI ethics, digital footprint implications, fertility economics, and healthcare cost analysis, showing interdisciplinary breadth while maintaining thematic coherence around digital transformation's societal impact. Scientific Awards and Recognition Semi-finalist: Research Impact Award at Brunel University London, 2023 Staff Award: Exceptional in Collegiality and Supportive to Colleagues at Brunel University London, 2022 Exceptional Performance at Regents University London, 2018-19 Staff Award in Teaching, Learning and Assessment at Regents University London, 2016 Best Lecturer Award at London Brunel International College, 2014 Best Lecturer Award at London Brunel International College, 2013 Dr. Tabaghdehi actively supervises PhD students researching areas including Smart Data Governance, Ethical AI Governance, Digital Innovation Impact, Responsible AI Adoption Strategies, Sustainability, and Future of Labour Market. She has secured research funding from multiple sources including the Economic & Social Research Council (ESRC), Brunel University London, and Brunel Business School. Her current projects include research on AI Adoption and Governance, Youth digital addiction, Algorithm Reliability Framework, and SMEs digital footprints. She has also co-designed the "Digital Adoption" module for the UK Government's Help to Grow Management program, demonstrating the practical application of her research. As a member of multiple professional organizations, Dr. Tabaghdehi serves as an associate practitioner at Social Value International, associate member of the Big Innovation Centre, and member of the All-Party Parliamentary Group on AI. She is also a member of the ESRC Review College, British Academy of Management Review College, and Energy Institute UK, contributing to the broader academic and policy communities through these roles.

• Lean Construction
• Real-time Production Control
• Location Based Management Systems
• +7 more

Olli Seppänen serves as Associate Professor in Civil Engineering at Aalto University's School of Engineering, specializing in operations management for construction productivity improvement. He coordinates the Vision 2030 consortium—comprising 13 Finnish construction and design firms—to develop industrialized building methods for 2030, while leading multiple Business Finland-funded research initiatives focused on digital construction workflows and real-time monitoring. His research centers on lean construction principles, location-based management systems, and digital transformation through IoT, AI, and robotic vision. Key focus areas include prefabrication optimization, construction logistics, and shifting work off-site to industrialize processes. He aims to solve industry-wide productivity challenges by creating real-time situational awareness and implementing takt production systems for workflow stability. Recent publications (2024-2025) reveal strong emphasis on digital twin frameworks, semantic modeling for quality assurance, and AI applications in risk management. His work bridges theoretical lean construction concepts with practical implementations, particularly in real-time resource tracking, waste reduction in MEP work, and cross-sector learning from high-performing teams. Seppänen has received significant recognition including: School of Engineering doctoral dissertation award (2024) Best paper at IEEE Wireless Sensors Conference (2019) Nordic Conference best paper award for PhD research (2019) DSc dissertation award (2010) As principal investigator, he manages: Vision 2030 consortium projects (2-3 annually; PI for two current projects) iCONS: Real-time resource flow monitoring via indoor positioning RECAP: Deep learning analysis of progress/quality from images/point clouds DiCtion: Integrated data systems for real-time stakeholder situation pictures He actively contributes to the "Performance in Building Design and Construction" research group and leverages the Vision 2030 consortium as a collaborative platform for industry transformation, driving adoption of digitalized, industrialized construction methods through academic-industry partnerships.

Ernest DavisView profile

Professor

• Artificial Intelligence
• Commonsense Reasoning
• Knowledge Representation
• +4 more

Ernest Davis is a Professor at the Department of Computer Science , Courant Institute of Mathematical Sciences , New York University . His research focuses on representing commonsense knowledge in AI systems , with an emphasis on spatial and physical reasoning , and he collaborates with Gary Marcus on integrating AI and psychological models. He has authored over 50 scientific papers and three books, including Linear Algebra and Probability for Computer Science Applications (2012). His teaching includes courses on Artificial Intelligence and Fundamental Algorithms. Research Trends: His recent work examines benchmarks for commonsense reasoning , limitations of large language models (e.g., GPT-4, DALL-E 2), mathematical reasoning in AI, and the Winograd Schema Challenge . Professional Activities: He has served as an ACM reviewer, program committee member for 50+ conferences, and area editor for ACM Transactions on Computational Logic . He contributes book reviews to Computing Reviews , SIAM News , Artificial Intelligence journal, and others. Non-Technical Writing: Davis writes for general audiences on topics spanning computer science, mathematics, cognitive psychology, and literary themes, published in outlets like The New Yorker , Wired , and The Times Literary Supplement .

Geoffrey LoveView profile

Associate Professor

• Organizational Innovation
• Corporate Reputation
• Strategic Management
• +4 more

E. Geoffrey Love is an Associate Professor of Business Administration at the University of Illinois at Urbana-Champaign, part of the Gies College of Business. He serves as Academic Co-Director of the Hoeft Technology and Management Program and Academic Director of the Carle Executive Education Program. With a PhD in Organizational Behavior from Harvard University (1997) and an AB in Applied Mathematics (1982), Love specializes in organizational innovation, corporate reputation, and institutional change. His research explores how firms navigate social evaluations, strategic innovation, and leadership dynamics. Education: PhD in Organizational Behavior (Harvard, 1997); AB in Applied Mathematics (Harvard, 1982) Positions: Academic Co-Director, Hoeft T&M Program (2024–present); Associate Professor (2016–present); Assistant Professor (2009–2016) Love's research interests span organizational design, leadership, and the impact of CEOs on corporate reputation. His work integrates institutional theory, strategic management, and behavioral insights. Notable studies include the dynamics of corporate reputation following downsizing, CEO succession, and the role of chief innovation officers. His recent articles highlight attention-based strategic leadership and innovation ecosystems across G-20 nations. Awards: Dean’s Impact Award (2022), Excellence in Graduate Teaching Award (2022) Love advises on multi-functional leadership and innovation strategy, emphasizing interdisciplinary education through programs like Hoeft T&M. His grants include funding for 'Attentional Control and Organizational Intelligence' (2024–2026). He teaches courses on strategic innovation, organizational behavior, and entrepreneurial management, leveraging over two decades of academic and industry insights.

Elaine ChenView profile

Senior Lecturer

• Business Analytics
• Artificial Intelligence
• Generative AI
• +4 more

Dr. Elaine Chen serves as Senior Lecturer in Business Analytics and Course Leader for the MSc Business Analytics and Artificial Intelligence at Nottingham Business School, Nottingham Trent University. Her teaching emphasizes practical applications of data and AI technologies for business decision-making, with dedicated focus on accessibility for diverse student backgrounds across technical and strategic domains. Her academic credentials include: PhD in Computing Science MSc in Business Information Technology Postgraduate Certificate in Academic Practice BTech (Hons) in Business Information Systems Chen's research bridges educational and business contexts through data-AI integration: Generative AI adoption in higher education, particularly for neurodivergent/disabled students Human-AI collaboration frameworks in organizational settings SME applications for AI-driven efficiency and competitiveness Workforce analytics and talent management systems Her work consistently connects technical AI capabilities with real-world implementation challenges. Publication analysis (2023-2025) reveals accelerating focus on generative AI's educational impact and business strategy integration, evolving from her foundational work in social recommender systems (2014-2020) which established methodologies now applied to contemporary AI challenges in business contexts. Her professional recognition includes: Senior Fellow of the Higher Education Academy (HEA) Chen actively supervises PhD candidates in AI education, human-AI collaboration, and workforce analytics domains. Her pedagogy leadership includes designing accredited business analytics curricula and securing teaching innovation projects with documented outcomes in student engagement metrics. Prior industry experience as an automation engineer at Intel informs her practical approach to AI implementation. Current initiatives focus on generative AI ethics frameworks and longitudinal SME adoption studies, extending her established research trajectory into emerging business technology challenges.

• Psychological Safety
• Teaming
• Organizational Learning
• +3 more

Amy C. Edmondson is the Novartis Professor of Leadership and Management at Harvard Business School, holding a chaired position dedicated to human interactions in successful enterprises. She has been consistently ranked among Thinkers50's top management thinkers since 2011, achieving #1 status in 2021 and 2023. Her research focuses on psychological safety, teaming, and organizational learning, with significant contributions to understanding how organizations learn from failure. Key publications include The Fearless Organization (2019) and Right Kind of Wrong (2023), the latter winning the Financial Times and Schroders Best Business Book of the Year award. Her work spans organizational behavior, healthcare management, and innovation science, with articles in top journals like Administrative Science Quarterly and Harvard Business Review . Recent research trends show increasing focus on psychological safety dynamics in constrained environments, cross-boundary teaming, and the science of intelligent failure. Her 15 most recent articles (2021-2025) demonstrate expanding applications from healthcare to general management contexts, with growing emphasis on temporal dimensions of team learning and data-driven decision pitfalls. Major awards include: Thinkers50 #1 Management Thinker (2021, 2023) Thinkers50 Breakthrough Idea Award (2019) Financial Times Best Business Book Award (2023) Accenture Award for California Management Review (2003) Edmondson advises on organizational transformation through numerous Harvard Business School cases, including culture change initiatives at Microsoft, LEGO, and Cleveland Clinic. Her research has secured funding for studies on teaming in pharmaceutical development, smart city projects, and healthcare innovation. Current work examines psychological safety erosion in new hires and cross-boundary team dynamics in complex innovation projects.

Emma ParryView profile

Professor

• Human Resource Management
• Generational Diversity
• Career Studies
• +4 more

Professor Emma Parry is a Professor of Human Resource Management and Group Head of the Changing World of Work at Cranfield School of Management, Cranfield University. She is a recognized expert in Human Resource Management (HRM) and plays a leading role in several global research projects including Cranet, a worldwide network of over 40 business schools conducting comparative HRM research, and 5C, a global research project involving around 30 academic institutions examining cultural and age differences in attitudes towards careers. Professor Parry joined Cranfield University in 2002 as a Research Fellow within the Human Resource Research Centre. She holds a PhD and an MSc in Applied (Occupational) Psychology, both from Cranfield. Her educational background has provided a strong foundation for her research in human behavior at work and HRM practices. Professor Parry's research focuses on the impact of the changing external context on managing people, particularly examining technological advancement, age demographics and generational diversity, and national context. She has also conducted extensive research on human capability within defense contexts. Her scholarly contributions include authoring "Managing People in a Contemporary Context" (Routledge) and editing six other books. She serves as Editor in Chief of the International Journal of Human Resource Management (IJHRM) and Series Editor for "The Changing Context of Managing People" book series (Emerald). Professor Parry's recent publications demonstrate a strong focus on global HRM trends, generational differences at work, the impact of technology on employment, and career development across different national contexts. Her work often takes a comparative approach, examining how HR practices and career trajectories vary across cultural and institutional settings. She has been particularly active in researching the impact of the COVID-19 pandemic on careers and the implications of emerging technologies for the future of work. Fellow of the British Academy of Management (FBAM) Academic Fellow of the Chartered Institute of Personnel and Development (CIPD) Honorary Fellow of the Institute for Employment Studies Visiting Research Fellow at Westminster Business School President of the Executive DBA Council (EDBAC) Elected member of the British Academy of Management (BAM) Council Professor Parry teaches on graduate and executive programs in Human Resource Management, Talent Management, Organizational Behavior, and Research Methods. She has advised numerous PhD students and has secured research funding from various organizations including the Defence Science and Technology Laboratory (Dstl), Home Office, Chartered Institute of Personnel and Development (CIPD), Society for Human Resource Management (SHRM) Foundation, Forces in Mind Trust, and Department for International Development (DFID). Her work bridges the gap between academic research and practical application, making significant contributions to both scholarly knowledge and organizational practice in the field of HRM.

• Artificial Intelligence in Accounting
• Machine Learning Applications
• Fraud Detection
• +3 more

Benjamin Lee is a Senior Lecturer of Accounting and Director of Student Matters at the School of Accountancy, Singapore Management University. He serves as an SMU-X Academic Champion, driving experiential learning initiatives and promoting AI integration in accounting education and practice across multiple institutional roles. His academic background includes: Doctor of Philosophy in Management (Strategy and Technology Management), University of Glasgow, 2025 Master of Science in Business Analytics with Distinction, University of Surrey, 2017 Bachelor of Accountancy, Singapore Management University He is a Chartered Accountant of Singapore with prior industry experience as a consulting data analyst at Singapore's Accountant-General’s Department. Dr. Lee's research centers on AI-driven analytics (AIDA) applications for accounting problem-solving, including fraud detection, financial forecasting, and credit risk analysis. His work explores organizational dynamic capabilities in digital transformation and AI governance frameworks within professional service firms. His publication portfolio (2017-2025) reveals consistent focus on digital transformation across accounting and SME contexts, with recent emphasis on machine learning applications in fraud detection and public transport optimization. The research bridges academic theory with practical industry implementation through numerous case studies. His teaching excellence has been recognized through multiple awards including: Dean’s List for Teaching Excellence (2023-2025) SMU-X Excellent Teacher Award (2023) Howard Teall Award for Innovation in Accounting Education (2023) Wharton-QS Reimagine Education Digital Readiness Award (2022) While specific doctoral advising isn't documented, Dr. Lee actively mentors students through SMU-X experiential projects and industry collaborations. His industry partnerships with ISCA and media contributions to The Business Times demonstrate practical knowledge transfer beyond academia. He holds leadership positions including Director of Student Matters, SMU-X Academic Champion, and member of ISCA's AI Taskforce Sub-Committee on Policy and Regulation, where he shapes professional standards for AI implementation in Singapore's accounting sector.