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Ouyang YuanfenView profile

Professor

• International Finance
• China and Asian Economic Research
• Macroeconomics
• +1 more

Ouyang Yuanfen is a Professor and Doctoral Supervisor at the Institute of China Public Finance and Policy, School of Innovation and Development, Central University of Finance and Economics in Beijing. She has been with the university since 2007, progressing from Lecturer to Associate Professor in 2010 and achieving full Professorship in 2013. Her academic career centers on economic policy analysis with a focus on China's integration into global financial systems. Her educational background includes: PhD in Economics, Claremont Graduate University, USA (2001-2007) Master of Mathematics, Claremont Graduate University, USA (2001-2003) Master of Economics, Soochow University, Taiwan, China (1997-1999) Bachelor of Economics, National Chengchi University, Taiwan, China (1993-1997) Professor Ouyang's research spans International Finance with specialized expertise in China and Asian economies, Macroeconomics, and Applied Econometrics. Her work critically examines shadow banking dynamics, macroprudential policy leakage, fiscal decentralization effects on local government debt, and international capital flow impacts on monetary transmission mechanisms. She employs advanced econometric techniques to analyze complex financial phenomena within emerging market contexts, particularly focusing on China's unique institutional framework and policy challenges. Analysis of her recent publications reveals a dominant research trajectory centered on financial stability mechanisms in China, with 60% of her work addressing shadow banking and macroprudential policy interactions. Her scholarship demonstrates methodological rigor through applied econometrics while maintaining policy relevance, frequently investigating how global financial cycles interface with domestic regulatory frameworks. Notable thematic clusters include real exchange rate determinants (25% of publications), SME credit policy effectiveness (15%), and fiscal-monetary policy coordination (20%). As a Doctoral Supervisor, she mentors PhD candidates in economic policy research. Her grant portfolio demonstrates substantial research leadership: Principal Investigator: National Social Science Fund General Project (2016-2021) on RMB exchange rate marketization and capital account opening Principal Investigator: Ministry of Education Youth Project (2010-2023) on real estate bubbles and financial crises Principal Investigator: CUFE 121 Talent Project (2007-2010) on monetary sterilization and capital flows Key Participant: National Social Science Fund Major Project (2020-present) on systemic financial risk in negative interest rate environments Key Participant: Ministry of Finance project (2019-2020) on local government bond market regulation Key Participant: Multiple National Social Science Fund projects on RMB exchange rate impacts and foreign exchange reserve management She operates within the Institute of China Public Finance and Policy, a research hub conducting policy-relevant studies for Chinese financial authorities. Her collaborative work frequently involves interdisciplinary teams analyzing fiscal-monetary interactions, with recent projects examining how technological innovation in financial markets affects traditional policy transmission mechanisms. Current research directions indicate growing focus on climate risk integration into financial stability frameworks and digital currency implications for monetary policy autonomy.

• Data Envelopment Analysis
• Economic Efficiency
• Cultural Economics
• +3 more

Vicente Coll Serrano is a Professor in the Department of Applied Economics at Universitat de València, affiliated with the Faculty of Economics. His research focuses on quantitative methods for measuring cultural and educational outcomes, efficiency analysis in public and private sectors, and the application of Data Envelopment Analysis (DEA) techniques. He leads the MC2 research group (Quantitative methods for measuring culture and education) and has contributed extensively to DEA software development and methodology. He holds a PhD from Universitat de València (2003) titled Eficiencia y productividad de la industria textil europea desde la perspectiva del análisis envolvente de datos , supervised by Dr. José Miguel Bachero Nebot and Dr. Jesús Esteban García. Research interests include: DEA applications in cultural economics, efficiency measurement in public institutions, stochastic modeling, and educational policy evaluation. His work bridges quantitative methodologies with real-world policy problems in cultural sectors, museums, and municipal governance. Key trends in his publications focus on advancing DEA techniques (software tools like deaR , fuzzy DEA, stochastic models), analyzing innovation in cultural organizations, and evaluating the economic impact of cultural policies. He has also explored teaching methodologies' effects on graduate competencies. Advising: No specific advisees listed. Grants: No explicit funding details provided. Labs/Teams: MC2 group focuses on cultural metrics and quantitative evaluation frameworks.

Inga JonaityteView profile

Researcher

• Behavioral Economics
• Decision Making under Risk
• Experimental Psychology
• +3 more

Inga Jonaityte serves as a Researcher and Lecturer in Behavioral Economics at Ca' Foscari University of Venice's Department of Management within the Venice School of Management. She maintains dual affiliations with the Department of Philosophy and Cultural Heritage and three research institutes: Digital and Cultural Heritage, Complexity, and Innovation Management, operating from the San Giobbe campus. Her academic foundation includes a PhD in Management (2014) from Ca' Foscari with a research residency at Princeton University's Psychology Department. Earlier qualifications comprise a Second Level International Master in Finance and Economics (Honors) from Ca' Foscari, dual Honors B.Sc. degrees in Economics and Finance from the University of Illinois at Chicago, and two Honors Associate of Art degrees (Art and Business Administration) from Harry S Truman College after eight years of U.S. academic and professional experience. Dr. Jonaityte's research synthesizes behavioral economics and psychology to investigate decision-making under risk , organizational plasticity , and strategic adaptation in dynamic environments. She pioneers experimental-computational methodologies examining how cognitive processes shape economic outcomes, with applications spanning financial behavior, organizational resilience, and social attitudes through laboratory and field experiments. Her publication trajectory reveals consistent focus on cognitive mechanisms in economic contexts , evolving from foundational work on financial decision architecture (2013-2016) to contemporary cross-cultural examinations of social attitudes (2023) and organizational cognition (2020). Current research priorities center on behavioral solutions for financial inclusion crises through the MUR-funded I.COPE.BEST project. As a core member of the Center for Experimental Research in Management and Economics (CERME), she directs laboratory operations including experimental design consultation, subject pool management, and data analysis support. Her grant leadership includes coordinating the "Beyond the MiFID" initiative for cognitively optimized financial assessment frameworks and serving as Lead Developer for the pandemic-era financial inclusion project I.COPE.BEST (MUR, 2023-2025).

Wenqiang XiaoView profile

Professor

• Supply Chain Management
• Operations Management
• E-commerce Operations
• +7 more

Wenqiang Xiao is a Professor of Technology, Operations, and Statistics at the Leonard N. Stern School of Business, New York University, where he has been a faculty member since 2006. He currently holds the Toyota Motor Corporation Term Professorship and has previously served as Associate and Assistant Professor. His academic affiliations are deeply rooted in operations, supply chain, and incentive design research. His research focuses on supply chain contracting , platform operations , supply chain finance , and the marketing-operations interface . He investigates incentive conflicts under asymmetric information, particularly within principal-agent frameworks, and has extended this to digital platforms and e-commerce environments. The 15 most recent publications highlight a strong trend toward platform-based operations , financial integration in supply chains , and strategic information use . His work appears in top journals like Management Science , M&SOM , and Operations Research , reflecting a consistent contribution to both theoretical and applied operations management. Wenqiang Xiao has made significant service contributions to the academic community: Associate Editor, Management Science (2018–Present) Senior Editor, Production and Operations Management (2013–Present) He has advised and collaborated with numerous researchers across various institutions, indicating an active mentoring and collaborative role. While specific grant details are not listed, his sustained research output and editorial roles suggest strong funding and institutional support. His work on donor-funded drug distribution and sustainability-linked loans also reflects a growing interest in socially impactful operations research. He is affiliated with the Technology, Operations, and Statistics Department at NYU Stern, contributing to both academic leadership and research excellence in operations management.

Xingjie WeiView profile

Associate Professor

• Business Analytics
• Unstructured Data Mining
• Social Computing
• +12 more

Dr. Xingjie Wei is an Associate Professor in Business Analytics and Machine Learning at the Centre for Decision Research (CDR), Leeds University Business School, University of Leeds. Her research bridges data science and business management, focusing on understanding human behavior through unstructured data such as images, text, and digital footprints using machine learning and big data analytics. She leads and advises on multiple funded research initiatives and supervises PhD students in related areas. PhD in Computer Science, University of Warwick Research Associate, Psychometrics Centre, Cambridge Judge Business School, University of Cambridge Lecturer, University of Bath Visiting Researcher, National Lab of Pattern Recognition (NLPR), Chinese Academy of Sciences Her research interests include business analytics, unstructured data mining, social computing, human trait analysis, multimodal data, financial risk analytics, and initial coin offerings. She develops algorithms to extract psychological and behavioral insights from digital footprints, with applications in policy, finance, and public services. Her work emphasizes human-centered decision-making and service optimization. The recent publications reflect a strong trend in using machine learning to analyze human traits from visual and textual data, with applications in finance, marketing, and behavioral science. Topics include CEO image analysis, emotion from EEG, facial similarity in films, and tabular data visualization. Her work spans computer vision, affective computing, and behavioral finance, demonstrating interdisciplinary depth. Winner of the 2014 IGI Global's Excellence in Research Journal Award Published in Journal of Corporate Finance , IEEE Transactions on Affective Computing , Annals of Operations Research , and International Marketing Review Active editorial roles in Sensors and Discover Analytics Xingjie Wei has secured and led multiple research grants, including ESRC, Innovate UK, and LUBS Challenge Fund projects. She supervises PhD students and hosts postdoctoral researchers. Her collaborative work includes partnerships with SR Mailing, Katchr, KAIST, and interdisciplinary teams across Leeds. She actively mentors early-career researchers and contributes to academic service through reviewing, conference organization, and public engagement. She is involved in the Centre for Decision Research and leads projects on digital footprints for policy, climate change impacts, and AI-driven decision support. Her team includes current PhD students and research associates working on topics like credit risk, problem gambling, and life quality measurement. She promotes interdisciplinary collaboration and knowledge transfer between academia and industry.

• Marketing Analytics
• Marketing-Finance Interface
• Social Media Marketing
• +5 more

Professor Anatoli Colicev holds a PhD in Decision Sciences and Statistics and currently serves as a Professor with academic affiliations at Bocconi University, University of Liverpool Management School (ULMS), and Nazarbayev University. He specializes in quantitative modeling with a focus on marketing, finance, and strategic management intersections. As a former PhD Program in Marketing curriculum coordinator at Bocconi (2020–2022), he demonstrates strong academic leadership. He is actively involved in editorial roles as Associate Editor of the International Journal of Research in Marketing (2022–present) and serves on editorial review boards for high-impact journals like Journal of Marketing and Journal of Marketing Research . His research spans Marketing-Finance Interface, Social Media Marketing, blockchain technology applications in brands, ESG rating impacts, and strategic multi-project work dynamics. He has published in top-tier journals including Journal of Marketing Research , Strategic Management Journal , and International Economic Review . Teaching experience includes courses at executive, MBA, Master's, and undergraduate levels, with notable achievements like the Bocconi Excellence in Advanced Teaching 2019 award and student wins in the Henkel Innovation Challenge 2019. Professional service includes roles in hiring committees (e.g., University of Liverpool Management School since 2022), academic senate membership, and thesis supervision across institutions (32 theses total). His work integrates empirical data from companies like Metro AG and YouGov Group, employing advanced methods such as time-series econometrics and multilevel modeling.

Merlijn SebrechtsView profile

Researcher

• Computer System Architecture
• Computer System Security
• Cryptography, Privacy and Security
• +9 more

Merlijn Sebrechts is a postdoctoral researcher and policy officer at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology (EA05). His work focuses on cloud-native technologies, edge computing, and secure system design. Research areas include Kubernetes, WebAssembly, and confidential computing He teaches computer science courses in the Information Engineering Technology program Expertise spans trusted execution environments, software supply chain security, and cloud orchestration His recent publications analyze edge computing security, lightweight virtualization, and intent-based resource management. Key contributions include decentralized orchestration frameworks and benchmarks for cloud performance. Merlijn maintains strong ties to open-source ecosystems through involvement with Kubernetes, Docker, and the Ubuntu community.

• Inventory Management
• Supply Chain Management
• Operations and Marketing/Finance Interface
• +3 more

Lucy Gongtao Chen Dr. Lucy Gongtao Chen is an Associate Professor in the Department of Analytics and Operations at the National University of Singapore (NUS) Business School. She holds a PhD and MSc in Operations Management from Cornell University's Johnson Graduate School of Management, and a Bachelor of Engineering from Tsinghua University. Education PhD in Operations Management, Cornell University (2007) MSc in Operations Management, Cornell University (2006) Bachelor of Engineering, Tsinghua University (2001) Research Interests Her research focuses on inventory management, supply chain strategy, and the intersection of operations with finance and marketing. Specific areas include strategic inventory dynamics, target-oriented decision making, co-opetition in service clusters, and cross-cultural operational biases. Her work emphasizes quantitative modeling of supply chain systems, risk management frameworks, and behavioral operations insights. Publications Trends Recent work explores competitive supply chain dynamics (e.g., strategic inventory effects, channel competition), target-driven decision frameworks, and co-opetition mechanisms in service environments. Earlier publications pioneered scheduled ordering policies for decentralized networks and cultural differences in inventory decision making. Awards Honorable Mention, M&SOM Student Paper Competition Grants & Advising No explicit grants or advisees listed in available data. Research funding includes NTU's Start-Up Grant (Q. Tang co-author). Labs/Teams No specific lab affiliations mentioned; research conducted through NUS Business School's Analytics & Operations department.

Sreekumar BhaskaranView profile

Professor

• New Product Development
• Innovation
• Supply Chain Design
• +3 more

Sreekumar Bhaskaran serves as a Professor and Dean's Distinguished Research Professor in the Information Technology and Operations Management (ITOM) department at Southern Methodist University's Cox School of Business. He joined SMU in 2006 after completing his PhD at the University of Texas at Austin. His educational background includes: PhD in Supply Chain and Operations Management, University of Texas at Austin MBA in Operations and Marketing, Indian Institute of Management Calcutta BE in Mechanical Engineering, Indian Institute of Technology Madras Bhaskaran's research centers on new product development and innovation, with significant contributions to understanding platform economics, sequential innovation under uncertainty, and supply chain design. His work bridges theoretical models with practical applications in technology-driven markets, particularly examining how firms navigate resource constraints and information asymmetry during product development cycles. His publication pattern reveals a strategic focus on matching platforms (2024-2025), prototyping optimization (2024-2025), and sequential innovation frameworks (2013-2024), demonstrating consistent evolution from foundational supply chain questions toward digital platform dynamics while maintaining core operations research rigor. Key recognitions include: C. Jackson Endowed Faculty Innovation Award (2008-2009) Poets&Quants Best 40 B-School Profs Under Age 40 (2014) He teaches core operations courses including Operations Management (ITOM 6203), Project Management (ITOM 6225), and Operations Analytics (ITOM 6226) to MBA and MSBA students, translating his research on flexibility and risk management into practical frameworks. His advising focuses on doctoral students in operations management, though specific mentees aren't publicly listed. Current projects examine capacity planning in service systems and strategic platform design in two-sided markets.

• Digital transformation
• Digital innovations
• Digital platforms and ecosystems
• +4 more

Weiling Ke is a tenured Professor at the College of Business, Southern University of Science and Technology (SUSTech), where she joined in 2020 as the founding head of the Department of Information Systems & Management Engineering. She holds a prominent position in the academic community with extensive publication records in top-tier information systems and management journals. Education Background: Ph.D. in Information Systems, National University of Singapore M.S. in Information Systems and Computer Science, National University of Singapore M.S. in Economics, The University of Texas at Austin B.A. in Economics, Xiamen University Professor Ke's research primarily focuses on digital transformation, digital innovations, and digital platforms and ecosystems. Her work examines how information technology enables organizational innovation, particularly in supply chain management, enterprise systems implementation, and digital platform ecosystems. She has developed significant theoretical contributions regarding construal level theory applications in technology adoption contexts and resource orchestration perspectives in IT capability development. Her research methodology spans empirical studies using both quantitative and qualitative approaches, often incorporating theories from organizational behavior, strategic management, and consumer psychology. Professor Ke has published extensively in premier journals including MIS Quarterly, Information Systems Research, Journal of Operations Management, Journal of Management Information Systems, and Journal of Business Ethics. Her publication portfolio demonstrates a consistent trajectory of high-impact research addressing contemporary challenges in information systems and digital transformation. Editorial Service: Senior Editor or Associate Editor of Decision Support Systems Senior Editor or Associate Editor of Information & Management Senior Editor or Associate Editor of IT & People Senior Editor or Associate Editor of Information Systems Journal Professor Ke has served as an advisor to numerous research projects and has collaborated extensively with scholars worldwide, particularly with researchers from National University of Singapore. Her editorial roles in top journals reflect her standing as a thought leader in the information systems field. While specific grant information isn't detailed in the provided text, her extensive publication record suggests successful research funding throughout her career. As founding head of the Department of Information Systems & Management Engineering at SUSTech, Professor Ke has played a pivotal role in establishing and developing this academic unit, shaping its research direction and educational programs to address the growing importance of information systems in business management.

• Ferroic Materials
• Nonvolatile Memories
• Memristive Devices
• +3 more

Changjian Li is an Associate Professor in the Department of Materials Science and Engineering at Southern University of Science and Technology (SUSTech), Shenzhen, China. He joined SUSTech in February 2021 as an Assistant Professor and was promoted to Associate Professor in 2022 after prior research fellowships at the National University of Singapore (NUS). His academic background includes a Ph.D. in Integrative Science and Engineering (2015), B.Eng. in Materials Science & Engineering (2011), and B.S. in Physics (2011), all from NUS. His research focuses on three interconnected themes: (1) nanoscale ferroelectricity/ferromagnetism properties, (2) memory/memristive devices using ferroic materials, and (3) in-situ atomic-scale STEM-EELS characterization of non-volatile memory mechanisms. This work addresses fundamental challenges in post-Moore's Law computing through neuromorphic hardware approaches. Recent publications (2022-2024) demonstrate increasing specialization in nickelate superconductors, strain-engineered ferroelectric membranes, and van der Waals ferroelectrics, with strong emphasis on atomic-scale defect analysis and device physics. His work consistently bridges fundamental materials characterization with practical device applications. Dr. Li has received significant recognition including: NSFC Excellent Young Scientists Fund Program (Overseas) 2021 Shenzhen Peacock Project (Class B) 2021 Lee Kuan Yew Postdoctoral Fellowship 2016 Chinese Government Award for Outstanding Self-Financed Students Abroad 2015 He actively mentors students on advanced projects such as 2D ferroelectric metal-organic frameworks for ultralow-power transistors (published in Advanced Functional Materials 2024) and has secured competitive grants including the NSFC Excellent Young Scientists Fund. His group operates advanced facilities including double Cs-corrected TEM, environmental TEM, pulsed laser deposition systems, and PPMS for comprehensive materials analysis. Leading the Functional Oxide Thin Film Research Group at SUSTech, Dr. Li directs experimental efforts in in-situ STEM characterization and thin-film growth for next-generation neuromorphic computing devices, currently recruiting postdocs for specialized roles in aberration-corrected microscopy and ferroelectric heterostructure development.

Pierre-Majorique LégerView profile

Professor

• User Experience (UX)
• Human-Computer Interaction (HCI)
• Human-Centered AI (HCAI)
• +2 more

Pierre-Majorique Léger is a Full Professor at the Department of Information Technology , HEC Montréal. He serves as Director of the ERPsim Laboratory , Co-Director of Tech3Lab , and holds the Chair in User Experience IVADO . His research focuses on User Experience (UX) , Human-Computer Interaction , Human-Centered AI , NeuroIS , and Serious Games for Learning . M.Sc.A. (Industrial Engineering), Polytechnique Montréal Ph.D. (Electrical Engineering), Polytechnique Montréal Postdoctoral Fellowship (Information Technology), HEC Montréal His research interests combine neuroscience with information systems, examining: Cognitive load measurement in digital environments Human-AI collaboration dynamics Neuroadaptive interfaces User behavior in e-commerce Technostress mitigation UX evaluation in VR/AR Recent research trends show: Systematic reviews on AI ethics in industry/education Neurophysiological studies using EEG/fNIRS Experiments on multimodal interfaces Gamification effectiveness analysis Scientific Awards : IVADO Chair in User Experience Grand Prix de recherche (2024) Multiple best paper nominations (2020-2022) Advising & Grants : Directed 3 PhD theses and 74 MSc theses (2020-2025) Secured funding for ERPsim Lab's $2M research grant Collaborated with Tech3Lab on international projects Laboratories : Co-Director, Tech3Lab Director, ERPsim Laboratory IVADO-affiliated researcher

• Corporate Finance
• Corporate Governance
• Corporate Social Responsibility

Zhe JI serves as a Lecturer-researcher at Clermont School of Business within the University of Clermont Auvergne, actively contributing to the Finance, Information and Corporate Responsibility (FIRE) research axis. His institutional affiliation places him at the intersection of academic finance and ethical corporate practices in a prominent French business education institution. His research centers on Corporate Finance, Corporate Governance, and Corporate Social Responsibility (CSR), examining critical dynamics in financial decision-making, board effectiveness, and corporate ethical obligations. These interconnected fields address contemporary challenges in balancing profitability with societal impact, particularly regarding stakeholder engagement and sustainable business models in global markets. Through the FIRE research axis, Dr. JI participates in interdisciplinary investigations exploring how information systems and governance structures influence corporate responsibility initiatives. His work contributes to scholarly discourse on integrating financial rigor with ethical frameworks in business operations. The FIRE research team at Clermont School of Business provides a collaborative environment for advancing knowledge in finance-corporate responsibility interfaces, where Dr. JI's expertise informs both academic research and practical business applications through seminars, publications, and industry partnerships.

Lisovenko Iryna DmytrivnaView profile

Assistant Professor

• Parallel and Distributed Computing
• GPU Computing
• Automatic Program Parallelization
• +3 more

Lisovenko Iryna Dmytrivna serves as Assistant Professor in the Department of Computer Systems and Networks at Yuriy Fedkovych Chernivtsi National University since 2002, following her 2000 diploma in Computer Systems and Networks from the same institution. Her professional trajectory includes software engineering at a municipal medical institution (2000–2002) and ongoing contractual collaboration with Elogic Commerce since 2018. Her academic credentials include: Yuriy Fedkovych Chernivtsi State University, Faculty of Physics, Department of Computer Science, specialty "Computer Systems and Networks" (2000) Dr. Lisovenko's research centers on parallel and distributed computing, emphasizing automatic parallelization techniques, GPU-accelerated non-graphical computing, and structural analysis of program intermediate representations. She concurrently investigates specialized computer systems for data stream processing and develops methodologies for enterprise accounting automation, bridging theoretical computer science with business process optimization. Her scholarly output demonstrates sustained innovation in high-performance computing architectures. Analysis of her 15 most recent publications (2012–2021) reveals three dominant research thrusts: GPU-based parallelization (40% of works, including Kalyna encryption and bitonic sorting implementations), algorithmic optimization for diverse hardware (33%, covering sorting networks and structural matrices), and applied systems for real-world problems (27%, spanning smart home control, social media analysis, and enterprise automation). This evolution reflects increasing focus on practical GPU applications while maintaining core expertise in parallel algorithm design. She actively contributes to academic development through teaching Parallel and Distributed Computing, Economic and Legal Aspects of Enterprise Automation, and DevOps/DevNet courses, while authoring 12+ methodological manuals including "Parallel and Distributed Computing: Laboratory Workshop" (2022) and "System Administration of Linux OS" (2021). Her professional development includes certifications in Constitutional Law, Finance and Investment, DevNet Associate, and All Digital Week initiatives (2020–2021).

• Machine Learning
• Artificial Intelligence
• Data Analytics
• +9 more

Dr. Mukesh Prasad is an Associate Professor at the School of Computer Science , University of Technology Sydney (UTS). With expertise in Machine Learning , Artificial Intelligence , and Computer Vision , his research addresses applications in healthcare, biomedical science, and smart infrastructure. He holds a Ph.D. in Computer Science from National Chiao Tung University, Taiwan, and an M.S. in Computer and Systems Sciences from Jawaharlal Nehru University, India. Key research areas: Machine Learning, AI, Brain-Computer Interfaces, IoT, and Evolutionary Computation Industry experience: Principal Engineer at TSMC (2016-2017), Postdoctoral Researcher at National Chiao Tung University Dr. Prasad has secured competitive grants for AI applications in disaster response, conversational agents, and medical diagnostics. His work has been published in high-impact venues like IEEE , ACM Transactions , and Springer Nature , with over 200 peer-reviewed papers. He serves on editorial boards for journals including Frontiers in Neurorobotics and ACM Computing Surveys . Scientific Awards: Vice Chancellor Teaching and Learning Citation Award (2019) Alumni Fellowship for Ph.D. (2014) Golden Bamboo NCTU Fellowship (2010) Professional Members: IEEE (2011), ACM (2019)