Dr Wen Zhang is a Lecturer in Business Analytics at the University of Bristol Business School . His expertise spans Natural Language Processing, Optimization, Artificial Intelligence, Simulation, Insurance, ESG, and Legal domains. Contact: wen.zhang@bristol.ac.uk | +44 117 455 1802 Location: 11-13 Tyndalls Park Road, Clifton BS8 1PY Research Interests: Focus on computational methods for business analytics, including AI-driven optimization techniques, simulation modeling for risk assessment, and ESG (Environmental, Social, Governance) data processing applications in insurance and legal contexts.
Danielle Booker is an Assistant Professor of Accounting and Business Law at the Quinlan School of Business, Loyola University Chicago, where she joined in August 2020. She holds a PhD in Business Administration/Accounting from Texas Tech University and is a licensed CPA in Illinois. Educational Background: PhD in Business Administration/Accounting – Texas Tech University MAS in Accountancy – Northern Illinois University BS in Accountancy – Northern Illinois University Her research focuses on auditor judgment and decision-making , multinational group audits , and the impact of data analytics in auditing . These interests reflect her professional background in public accounting and financial reporting, particularly from her time at Deloitte and a health insurance company in Chicago. Dr. Booker is actively involved in the academic and professional accounting community through memberships in the American Accounting Association, American Institute of Certified Public Accountants, and the National Association of Black Accountants. She has been recognized with prestigious awards supporting her doctoral studies, including: AICPA Doctoral Fellow AAA/Deloitte Foundation/J. Michael Cook Doctoral Consortium Fellow Dr. Booker teaches Auditing & Internal Control Systems and contributes to the development of future accounting professionals. There is no public indication of graduate student advising, research grants, or laboratory affiliations in the available text.
Dario Salerno is an Adjunct Professor of Finance at the Leonard N. Stern School of Business, New York University, and an Associate Professor of Banking and Finance at the University of Naples “Parthenope.” He is also a Research Fellow at the Centre for Business, Climate Change, and Sustainability at the University of Edinburgh. His academic work bridges finance, sustainability, and innovation, with a focus on climate-related financial risks and sustainable investment strategies. His research interests include: Sustainable Finance and ESG Integration Climate Risk in Financial Systems Financial Innovation, Fintech, and InsurTech Banking Resilience and Macro-Financial Stability Corporate Governance and Venture Capital His recent publications reflect a strong trend toward interdisciplinary research that connects financial theory with real-world policy challenges, particularly in climate risk modeling, green finance, and ethical investment. The articles span top journals in finance and sustainability, emphasizing systemic risk, regulatory innovation, and digital transformation in financial markets. Scientific contributions and leadership roles include: Principal Investigator, EU-funded project on climate-related financial risks Co-founder and Board Member, FinClimate Lab Global Advisory Member, Oxford Impact Group (UK) Associate Editor, International Journal of Finance & Economics Guest Editor for multiple journals including Research in International Business and Finance Prof. Salerno is actively involved in postgraduate education through programs at NYU, MIT Sloan, University of Bologna, and Prince Sultan University. He has consulted for Fideuram Intesa Sanpaolo and the Italian Banking Association (ABI) on sustainable finance and risk profiling. His work integrates academic rigor with institutional innovation and societal impact. He leads the FinClimate Lab, a research laboratory dedicated to advancing climate and social finance, fostering collaboration between academia, policymakers, and financial institutions to develop actionable frameworks for sustainable economic transformation.
Dr Richard M Crossley is a Senior Teaching Fellow and Departmental Director of Student Education at the Department of Accounting and Finance, Leeds University Business School, University of Leeds. He joined in November 2019 and plays a key role in curriculum leadership, including as module leader for LUBS3650 Critical Cases in Accounting and Finance. He is also an Academic Personal Tutor and Placement Supervisor, contributing extensively to undergraduate and postgraduate education. His educational background includes a PhD in Accounting from the University of Huddersfield, focusing on legitimation effects on social and environmental practices. He also holds an MSc in Risk, Disaster and Environmental Management, a PGCert in Higher Education Practice, and a BA (Hons) in Law and Accountancy. He is a Fellow of the Association of Chartered Certified Accountants (FCCA) and a Fellow of the Higher Education Academy (FHEA). Richard's research centers on sustainability and accountability in accounting, with a focus on ESG, social and environmental reporting, and qualitative methodologies. He is particularly interested in how SMEs adopt sustainable practices and how accounting education can be enhanced through AI-driven pedagogical innovations. His work bridges academic research and professional practice, informed by his extensive industry experience in financial and management accounting within insurance and manufacturing sectors. His publications have appeared in journals such as Business Strategy and the Environment , Journal of International Accounting, Auditing and Taxation , and International Journal of Accounting & Information Management . While specific articles are not listed, his scholarly output reflects a consistent focus on ethical, environmental, and educational dimensions of accounting. University Recognition Scheme Contribution Award (2022) University Recognition Scheme Contribution Award (2024) Richard supervises doctoral candidates jointly in ESG-related areas, particularly sustainability in accounting and accounting education. He has extensive experience in dissertation supervision at the postgraduate level and has served as an ACCA Marker for twelve years, contributing to professional accounting assessment. He has also delivered tailored accounting and data analytics courses for external businesses, demonstrating strong engagement with industry and professional communities. He currently serves as External Examiner at Alliance Manchester Business School (University of Manchester) from 2021 to 2025, reflecting his standing in the academic community. He leads student education initiatives at the departmental level and integrates professional practice with pedagogical innovation, particularly in financial reporting, CSR, and management accounting modules.
Dr. Paula K. Shireman is a Professor and Executive Associate Dean at the Texas A&M College of Medicine, leading initiatives in healthcare policy and translational research. Her work focuses on predictive modeling, social determinants of health, and frailty assessment to improve surgical outcomes and healthcare equity. She holds an MD from Indiana University, an MS in Clinical Investigation from UT Health San Antonio, and an MBA from the University of Texas at Austin. Education & Training: Purdue University, BS in Nutrition Science (1986) Indiana University School of Medicine, MD (1990) Northwestern University, General Surgery Residency & Fellowship (1997) Loyola University, Vascular Surgery Fellowship (1999) UT Health San Antonio, MS in Clinical Investigation (2004) University of Texas at Austin, MBA (2018) Her research emphasizes linking social determinants of health with clinical outcomes, using AI and machine learning to develop predictive models. She leads an NIH-funded U01 grant to integrate frailty and socioeconomic data into healthcare decision-making. Additional grants include a Texas A&M Seedling Grant for smart elderly monitoring technologies. Awards & Grants: NIH U01TR002393 Grant (2018–2024, $3M+) Texas A&M Seedling Grant ($200K) Multiple NIH/VA awards for translational research Dr. Shireman chairs federal committees like the MACRA Subcommittee for Peripheral Vascular Disease and serves on NIH’s NCATS Advisory Council. Her work bridges clinical practice with policy, aiming to reduce healthcare disparities through data-driven solutions.
Katrin Nihalani is a Professor of Economics with a focus on Health Care at Niederrhein University of Applied Sciences (since 2010). She holds an MBA from Indiana University of Pennsylvania (2000-2001) and a PhD in Economics from the University of Duisburg-Essen (2007). Research Interests: Her work spans health economics, digitalization in health care, customer service commitment, and conjoint analysis applications. Key subfields include social health insurance, pandemic response technologies, wearable health devices, and institutional influences on health care delivery. Publications: Recent studies examine informal institutions in Confucian Asia (2022), digital health acceptance (2021), Corona-Warn-App adoption (2020), and conjoint analysis validity (2008, 2010). Committees & Roles: She serves on the College of Health's examination committee, quality improvement commission, and as an international relations coordinator. She is also a trusted advisor for the Friedrich-Naumann Foundation for Freedom and advocates for accessibility. Teaching: Offers courses in health economics, statistics (SPSS), social management, and advanced financial analysis for health systems.
Prof. Michael Grau is a Professor of Public Real Estate and Private Law at Ludwigsburg University of Public Administration. He serves as Dean of Studies and Vice Dean of the General Financial Administration program within Faculty I. His academic and professional career spans over two decades, integrating legal and financial expertise in public administration. Professor of Public Real Estate and Private Law Dean of Studies & Vice Dean of General Financial Administration His research focuses on public real estate management, legal frameworks in taxation, and financial administration. He has contributed extensively to understanding the intersection of private law and public sector asset governance. Prof. Grau's recent publications emphasize digital transformation, sustainability, and risk assessment in real estate policies, reflecting his commitment to advancing public sector efficiency through interdisciplinary approaches. He holds a Diploma in Financial Management from FHÖV Ludwigsburg and a law degree from the University of Tübingen, complemented by a legal traineeship in the Stuttgart Regional Court. Studiendekan & Prodekan Allgemeine Finanzverwaltung Head of Real Estate Management at Stuttgart Property and Building Authority Legal Counsel at Ludwigsburg Property and Building Authority
Professor Martin Huber is a leading academic in Applied Econometrics and Policy Evaluation at the University of Fribourg within the Faculty of Management, Economics and Social Sciences . He also serves as a Research Associate at the Centre for European Economic Research (ZEW) and collaborates with institutions like Soda Labs (Monash Business School) . PhD in Economics and Finance (2010) Assistant Professor at University of St.Gallen (2010-2014) Research stays at Harvard University (2011/2012) and University of Sydney (2014, 2019) His research focuses on data-based causal analysis , machine learning , and policy evaluation in labor, health, and education economics. He has pioneered the integration of causal machine learning with traditional econometric methods, developing novel algorithms for bid-rigging detection and dynamic treatment effect analysis. Recent publications demonstrate methodological advancements in graph attention networks , doubly robust estimation , and causal mediation analysis . His work addresses practical challenges like sample selection bias , instrument validation , and high-dimensional data in policy evaluation. Huber actively engages in teaching through initiatives like the ZEW summer school and Fribourg Winter School , where he instructs on R , Python , and causal analysis tools . He maintains a strong online presence through @causalhuber.bsky.social and has published Impact Evaluation in Firms and Organizations (MIT Press, 2023).
Ferhan Cebi is a Professor at Istanbul Technical University's Department of Management Engineering, actively contributing to academia since 2000. With expertise in decision science, operations management, and Industry 4.0, he has published extensively in areas including supply chain networks, fuzzy logic applications, and insurance analytics. His research spans theoretical model development and real-world implementations. Academic credentials include: Doctorate in Management Engineering (ITU, 1997) MSc in Management Engineering (ITU, 1989) Licence in Chemical Engineering (ITU, 1985) Research interests focus on: Industry 4.0 transformation frameworks Fuzzy decision-making systems Supply chain optimization Insurance company performance analysis Smart logistics solutions Digital transformation in performing arts Recent publications demonstrate cross-disciplinary impact: 2024-2025 work on cosmetic product tracking systems Dynamic efficiency analysis for non-life insurance companies Industry 4.0 operational improvement models Container loading optimization algorithms Recognitions include: 2022 ITU Academic Performance Awards 1999 IMDA Best Congress Paper Active in academic service since 2000, he has held leadership roles including Deputy Head of Department (2008-2013) and Program Head (2004-2006). His h-index of 11 reflects significant research impact with over 467 Scopus citations.
Ruth Anan, PhD, BCBA-D, is a faculty member and Director of the Applied Behavior Analysis Program at the Michigan School of Psychology (MSP), where she has served since 2017. She teaches and supervises students in both the master’s and doctoral programs, and leads the Applied Behavior Analysis certificate program. Dr. Anan is also actively involved in clinical work through her independent psychology practice in Novi, MI. PhD in Clinical Psychology, Wayne State University MA in Clinical Psychology, Wayne State University BS in Nursing, Wayne State University Applied Behavior Analysis Certification, University of North Texas Dr. Anan's primary research and clinical interests include Applied Behavior Analysis , Autism Spectrum Disorders , Parent-Child Interaction Therapy , parenting children with special needs , and Selective Mutism . Her work emphasizes evidence-based interventions for children and families, particularly in early diagnosis and behavioral treatment of developmental disorders. The available publications reflect a consistent focus on autism interventions and behavioral treatments for childhood anxiety, especially selective mutism. Her research often involves parent training models and family-centered approaches, demonstrating a commitment to community-based, accessible care. Dr. Anan has made significant contributions to autism policy in Michigan, including testifying before the State House for insurance reform and serving on key advisory committees such as the Michigan Autism Spectrum Disorder Planning Work Group and the Autism Alliance of Michigan’s Task Force. She has supervised student research at MSP and collaborated on behavior analytic projects, though specific advisee names are not listed. Dr. Anan previously held an appointment as Associate Professor at Oakland University-Beaumont Hospital School of Medicine and served on the biomedical staff at William Beaumont Hospital, where she founded the HOPE Center for children with autism. Dr. Anan is a member of the American Psychological Association and the Behavior Analysis Association of Michigan, reflecting her strong professional engagement in both clinical and behavioral psychology communities.
Lea Škrovánková is an Associate Professor at the Economic University in Bratislava, specifically within the Faculty of Economic Informatics and its Department of Mathematics and Actuarial Science. With a career spanning over four decades, her work focuses on actuarial science applications in pensions, health insurance, and risk modeling. Doctoral Thesis Advising: 1 completed dissertation Masters Thesis Advising: 64 completed theses Bachelor Thesis Advising: 32 completed theses Research Interests include: Actuarial modeling for social security systems Critical illness insurance risk quantification Differential equations in disability risk modeling Supplementary pensions insurance frameworks Longevity risk analysis in pension systems Capital requirements for catastrophic insurance risks Research Trends show consistent application of mathematical modeling (particularly Markov chains and differential equations) to insurance and pension systems across Europe, with recent focus on pandemic-related risks and longevity factors. Collaborations include Slovak, Czech, and British institutions. Organizational Contributions : Co-founder, Slovak Society of Actuaries (1996-2005) Board of Quality Member, Faculty of Economic Informatics (since 2009) Programme Board Member, Actuarial Science study program (2021) International Experience : Postgraduate training at The Institute of Actuaries, London and Faculty of Actuaries, Edinburgh (1994, 1996).
Prof. Dr. Arzu Tektaş serves as Professor at Bogazici University's School of Applied Disciplines and Department of International Trade, concurrently holding leadership roles as Director of the School of Applied Disciplines (2008–present) and Deputy Director of the Center for Innovation and Competition (2011–present). Her academic career spans quantitative business disciplines with significant administrative contributions to Turkish higher education. Her educational foundation includes a BS in Industrial Engineering (1984), MBA (1987; thesis: A Product-Mix Problem in Sanitary Paper Sector ), and PhD in Business Administration-Quantitative Methods (1994; thesis: Quantitative Models for Motor Insurance with Application to the Turkish System ), all from Bogazici University. She achieved Associate Professorship in 2004 and full Professorship in 2010. Tektaş's research synthesizes quantitative methodology with practical business applications, focusing on innovation in SMEs, supply chain efficiency, EU harmonization processes, and sector-specific productivity analysis. Her work bridges theoretical models with Turkish economic contexts, particularly examining EU accession impacts and agricultural technology applications. The research demonstrates consistent evolution from financial crisis management (2003–2006) toward contemporary innovation systems and sustainable agriculture (2017–2021). Her publication trajectory reveals three distinct phases: early work on banking efficiency and insurance modeling (2003–2006), mid-career focus on SME innovation and EU fund efficiency (2008–2012), and recent emphasis on agricultural technology and supply chain competitiveness (2016–2021). This progression reflects Turkey's economic transition from crisis recovery to innovation-driven development within European integration frameworks. Major research projects include AGRICOMP (2021; €1.2M TÜBİTAK/PRIMA funding) developing agricultural supply chain solutions for Mediterranean smallholders, UNDP-funded IoT applications for sustainable farming (2021), and UK-Turkey agricultural technology partnerships (2017). These initiatives demonstrate sustained external funding from EU bodies, UNDP, and national agencies addressing Turkey's economic modernization challenges. She teaches core courses including Trade Operations and Supply Chain Management, Quantitative Analysis, and Innovation Management while overseeing institutional development through senate committee roles. Her administrative leadership encompasses departmental restructuring (Head of International Trade Department, 2002–2004) and national policy influence via the Interuniversity Council of Turkey (2011–2015).
Fei Liu is an Assistant Professor in Finance at IPAG Business School in Paris since 2019, with prior academic roles as Guest Lecturer at EISTI–CyTech (2019-2021) and Teaching Assistant at the University of Liverpool (2014-2016). Holding a PhD in Mathematics from the University of Liverpool (2018), Liu possesses strong quantitative foundations and has passed multiple Society of Actuaries (SOA) preliminary examinations. Liu's academic credentials include: PhD in Mathematics (2014-2018), University of Liverpool: Dissertation on "Modeling and forecasting stochastic volatility in stock markets" MPhil in Mathematics (2011-2013), University of Liverpool: Research on "Risk modeling in insurance and finance, identifying roles of risks in ruin probabilities" Bachelor's Degree in Mathematics (2007-2011), University of Liverpool Research focuses on bridging mathematical finance with real-world applications, particularly in algorithmic trading and risk management systems. A significant thrust explores AI-driven approaches to financial decision-making and the quantitative integration of ESG factors into sustainable investment frameworks. Liu investigates how sentiment analysis from news and social media can enhance portfolio construction and market prediction models, especially in volatile geopolitical contexts. Recent publications (2022-2025) reveal a pronounced shift toward sustainable finance applications, with multiple studies on ESG sentiment integration for portfolio optimization and market analysis. Concurrently, Liu maintains strong contributions to volatility modeling in cryptocurrency markets and high-frequency trading, demonstrating consistent expertise in applying machine learning to complex financial time series data across diverse asset classes. Liu's scholarly work appears in reputable journals including Annals of Operations Research, Journal of Forecasting, and Quantitative Finance, though no specific awards are documented in the source material.
Zaiyong Tang is a Professor of Management Information Systems in the Department of Marketing and Decision Sciences at Salem State University. He holds a Ph.D. in Management Information Systems from the University of Florida, an M.S. from Washington State University, an M.E. from Chengdu University of Science and Technology (merged with Sichuan University), and a B.E. from Chongqing University, P.R. China. His educational background includes: Ph.D. in Management Information Systems, University of Florida M.S., Washington State University M.E., Chengdu University of Science and Technology (merged with Sichuan University) B.E., Chongqing University, P.R. China Tang's research focuses on cybersecurity, agent-based modeling, artificial intelligence, neural networks, and student success prediction. His work bridges technical systems with practical business applications, particularly in educational analytics and healthcare information systems. Recent publications demonstrate a strong shift toward machine learning applications in student retention and employee attrition prediction. Analysis of his 15 most recent publications reveals a strategic evolution from foundational AI research toward applied educational and business analytics. Since 2020, 60% of his work centers on machine learning applications in higher education, while cybersecurity and agent-based modeling remain consistent threads throughout his career. Dr. Tang serves as an associate editor for the Journal of Information Privacy and Security and previously for the International Journal of Sustainable Strategic Management. He has secured over $300,000 in external research funding as principal investigator and co-PI. His teaching portfolio includes graduate and undergraduate courses in cybersecurity, systems analysis, and information technology management, reflecting his dual expertise in technical systems and business applications.
Dr. Raminder Luther, currently serving as Interim Dean of the Bertolon School of Business at Salem State University since 2018, previously held a faculty position in the Department of Accounting and Finance where she taught undergraduate and graduate finance courses. She received the McNamara Award for Excellence in Teaching and has chaired numerous faculty-led committees. Ph.D. in Finance from University of Mississippi MBA in Marketing from University of Delhi BS in Electrical Engineering from Panjab University Her research focuses on Healthcare Finance , Personal Financial Planning , and Financial Distress impacts, with significant attention to Financial Pedagogy . Her work on military financial challenges has been widely cited, including in Federal Reserve publications. Research trends show consistent exploration of financial behavior patterns across generations, healthcare policy impacts , and pedagogical innovations in finance education. While recent publications focus on business case studies, earlier work combines computational finance and policy analysis. McNamara Award for Excellence in Teaching Multiple peer-reviewed scholarly awards Dr. Luther has mentored through committee roles and case study collaborations. Her work spans financial productivity research and retirement planning analysis, with active participation in national financial services marketing and academic conferences.
