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Thorsten JelinekView profile

Visiting Professor

• Digital Governance
• AI Policy
• Cybersecurity Regulations
• +6 more

Thorsten Jelinek is a Visiting Professor at the Aerospace Research Information Institute of the Chinese Academy of Sciences, focusing on digital governance, AI, cybersecurity, and remote sensing for Sustainable Development Goals (SDGs). He holds affiliations at the University of Cambridge (Department of Sociology), OECD, ITU, and the Taihe Institute. His current roles involve multilateral digital policy contributions to UN forums and the Internet Governance Group. Previously, he served as an associate director at the World Economic Forum and in ICT industry leadership roles. Education: PhD in Sociology, University of Cambridge MSc in Organisational and Social Psychology, LSE Bachelor's in Business Administration and Software Engineering, Berliner Hochschule für Technik Research Interests: Digital governance frameworks, AI policy coordination, data sovereignty, and equitable technology adoption in SMEs. His work bridges cybersecurity, climate action, and global infrastructure innovation. Recent focus areas include federated data platforms, data cooperatives for SME empowerment, and avoiding digital silos. Article Trends: Over 15 years, his research spans AI governance gaps, climate tech collaboration, and digital sovereignty challenges. Post-2020 work emphasizes data cooperatives, construction sector digitalization, and SDG monitoring through digital public goods. Awards: None explicitly listed. Grants/Advising: Contributions to Think20 policy briefs and UN digital cooperation panels. Advises on multistakeholder forums and industry-government partnerships. Labs/Teams: Involved in the Hertie School's Centre for Digital Governance and Jacques Delors Centre initiatives. Collaborates with global institutions on digital policy networks.

Venugopal BalijepallyView profile

Associate Professor

• Management Information Systems
• Software Development
• IT Management
• +4 more

Venugopal Balijepally is an Associate Professor of Management Information Systems (MIS) at Oakland University's School of Business Administration. He holds a PhD in Information Systems from the University of Texas at Arlington, alongside a post-graduate diploma in management (MBA) from the Management Development Institute (India), and engineering degrees from IIT Mumbai and Osmania University (India). His research focuses on software development methodologies, social capital of IT teams, knowledge management, and healthcare informatics, with notable contributions to MIS Quarterly, Journal of International Business Studies, and Journal of the AIS. He has been recognized with awards including the Oakland University Faculty Recognition Luncheon (2023) and multiple SBA Distinguished Service Awards. His teaching spans database management, systems analysis/design, and IS management. Recent research highlights include predictive models for healthcare risks during the pandemic and analysis of agile development practices. Balijepally's work bridges theoretical insights with practical applications in healthcare operations and IT strategy.

Daniel Ferreira PolóniaView profile

Visiting Assistant Professor

• Value-Based Healthcare
• Healthcare Innovation
• Healthcare Quality Systems
• +3 more

Daniel Ferreira Polónia is a Visiting Assistant Professor at the University of Aveiro, Portugal, specializing in Value-Based Healthcare, Innovation, and Quality Systems in Health. He holds a PhD in Business Management (focused on data-driven healthcare innovation) and a PhD in Electrical Engineering from the University of Aveiro, alongside a postgraduate degree in Communications Management from the University of Lisbon. With over 16 years at the University of Aveiro, he has taught management and engineering disciplines and led projects like the "INNHOSPITAL - INNovação HOSPITALar" initiative. His research emphasizes the intersection of healthcare systems, innovation management, and data utilization. Education: PhD in Business Management, University of Aveiro (current) PhD in Electrical Engineering, University of Aveiro Postgraduate in Communications Management, University of Lisbon Bachelor's in Telecommunications Engineering Research Interests: His work explores Value-Based Healthcare frameworks, healthcare innovation ecosystems, data-driven decision-making in healthcare, R&D tax incentives' impact, and quality management systems. He actively contributes to ISO Technical Committees and national innovation policy forums. Professional Contributions: Daniel has managed EU R&D projects, advised healthcare institutions on strategy and auditing, and volunteered in national and international innovation committees. He is trilingual (English, French, Spanish) and skilled in project management and consultancy. Notable publications address topics like hospital innovation, data governance in healthcare, and SME innovation barriers. Affiliations: He is affiliated with the Competitiveness, Innovation and Sustainability (CIS) group at the University of Aveiro and maintains profiles on Scopus and Web of Science. His CV is publicly accessible at this link .

Xiaohui ZhaoView profile

Senior Lecturer

• Business Process Management
• Business Intelligence
• Data Analytics
• +3 more

Dr. Xiaohui Zhao serves as a Senior Lecturer at the Institute of Innovation, Science and Sustainability (IISS), Federation University Australia, based at the Mt Helen campus. His academic role bridges business process theory with practical IT implementation, focusing on real-time analytics integration within organizational workflows. His educational foundation includes: Bachelor of Engineering (Computer Science and Technology) Master of Engineering (Computer Science and Technology) PhD in IT from Swinburne University of Technology (2007) Zhao's research centers on Business Process Management with specialized expertise in artifact-centric modeling, situational awareness systems, and real-time business intelligence. His work demonstrates how data analytics can dynamically optimize business operations through context-aware process adjustments. Current projects explore hyper-automation frameworks that merge AI-driven decisioning with traditional BPM workflows. Analysis of his 15 most recent publications reveals a consistent trajectory from foundational process modeling (2010-2015) toward real-time analytics integration (2016-2022). Key thematic clusters include artifact-centric process specialization, resource scheduling under constraints, and RFID-enabled business logic implementation. His interdisciplinary approach spans computer science, operations research, and business analytics. Dr. Zhao actively mentors doctoral candidates including Sira Yongchareon (artifact-centric BPM), Jiajie Xu (resource optimization), and Shangfeng Hu (knowledge networks). His research program is supported by competitive grants from: Ministry of Science and Innovation (New Zealand) Department of Education and Training (Australia) Department of Foreign Affairs and Trade (Australia)

José María ConejeroView profile

Associate Professor

• Model Driven Software Development
• Big Data
• Machine Learning
• +3 more

José María Conejero is an Associate Professor in the Department of Systems Informatics and Telematics at the University of Extremadura, Spain. He holds a PhD in Computer Science (2010) from the same institution. His research focuses on Model-Driven Software Development, Big Data, Machine Learning, Web Engineering, and Educational Technology. He has published over 50 articles in journals and conferences, and actively participates in program committees. Research interests include software modernization, reproducible data science workflows, legacy system migration (e.g., MigraSOA project), and AI applications in education. He co-founded MetrikaMedia, a university spin-off startup. Notable contributions include model-driven approaches for service-oriented architectures, aspect-oriented software metrics, and smart city applications using unmanned systems. His educational contributions involve developing recommender systems for student enrollment decisions and analyzing ChatGPT's impact on engineering education assessment methods. He has received the 'Best Paper' award at JENUI 2023. Key projects include semantic alignment of business processes with web services, aspect mining methodologies, and DSL development for smart home automation (HAAIS-DSL). He has also explored crosscutting concerns in software product lines and technical debt impact analysis.

• Business Process Management
• Process Performance Measurement
• IT Service Management
• +3 more

Adela del Rio Ortega is a Full Professor at the University of Seville's Higher Technical School of Computer Engineering, working in the Languages and Computer Systems department. She leads research in the INGENIERÍA DEL SOFTWARE APLICADA (ISA) group and has been Principal Investigator in multiple national and EU projects like S-CUBE and RISE_BPM. Her work focuses on bridging business and IT through process performance measurement, decision management systems, and service-oriented architectures. She has co-authored books such as 'Desarrollo de Software Guiado por el Negocio' (2012) and developed tools like PPINOT for process performance indicator management. Her research interests include process variability analysis, SLA definitions for outsourcing, and dashboard generation for process analytics. She actively participates in major conferences like Business Process Management and CAiSE, serving as Senior PC member since 2019. Her contributions span over 50 peer-reviewed publications, with recent focus areas including flipped classroom methodologies in CS education and AI-driven decision support systems. She coordinates interdisciplinary projects involving academia-industry collaboration in Andalusian healthcare and aerospace sectors.

• Business Process Management
• Distributed Simulation
• Model-Driven Engineering
• +4 more

Paolo Bocciarelli is affiliated with the University of Rome Tor Vergata , specifically within the Department of Industrial Engineering under the College of Engineering . His work focuses on business process modeling and simulation , leveraging model-driven engineering and distributed simulation to enhance system automation and interoperability. Teaches Service-oriented Software Engineering and other software/systems courses Research emphasizes MSaaS (Modeling and Simulation as a Service) , HLA (High-Level Architecture) , TOSCA , and IoT-aware systems His recent publications (2025–2024) address collaborative business processes in distributed environments, XES extensions for simulation, HLA-based interoperability, and predictive process mining using ebPMN. Earlier works (2023–2019) explore resource modeling, IoT integration, federated MSaaS infrastructures, and microservice-based simulations. He has no listed scientific awards or students in the provided data.

Mingzhu WangView profile

Associate Professor

• Corporate Governance
• Financial Reporting Quality
• Financial Institutions
• +6 more

Dr. Mingzhu Wang is a Reader in Accounting & Finance at King’s College London’s King’s Business School, Department of Management. She joined the university in 2010 as a Lecturer and holds a PhD in Accounting and Finance from the University of Manchester. Her research focuses on corporate governance, ESG performance, sustainable investment, board gender diversity, financial reporting quality, and institutional investor behavior. Notable areas include analyzing how CSR engagement and board composition affect financial markets, and investigating governance mechanisms in China and Europe. Her recent publications explore topics such as CSR’s impact on analyst coverage (2024), sustainable investment driven by social capital (2022), and margin trading effects in Chinese markets (2022). Earlier work includes studies on IPO underpricing (2018), stakeholder engagement in regulated environments (2019), and gender quota policies (2013). Wang has collaborated on projects like the UK options markets historical analysis (2012-2015), examining market bubbles and governance mechanisms. Her work contributes to UN Sustainable Development Goals related to responsible consumption and sustainable finance.

Sue AbdinnourView profile

Professor

• Business Analytics
• Supply Chain Management
• Entrepreneurship
• +3 more

Sue Abdinnour is the Omer Distinguished Professor in Business and Director of the Business Operations and Analytics Lab at Wichita State University. Her work bridges business analytics, supply chain agility, entrepreneurship, and information systems. She investigates topics such as technology adoption in education, social media sentiment analysis, and regional entrepreneurship dynamics. Her research interests focus on leveraging data-driven approaches to enhance business operations, including studies on ERP systems, entrepreneurial ecosystems in Wichita, and the impact of social media on economic and public health outcomes. Recent work explores tablet efficacy in education and the influence of political sentiment on financial markets. Dr. Abdinnour’s publications highlight trends in tech adoption, supply chain optimization, and qualitative studies on ethnic entrepreneurship in urban contexts. While no specific awards are listed, her roles reflect significant academic and leadership contributions. Grants and patents sections are mentioned but lack detailed data in the provided text. She oversees the Business Operations and Analytics Lab, fostering interdisciplinary research and collaboration between academia and industry. Her work emphasizes practical applications in both regional economic development and global business strategies.

• Accounting
• Auditing
• Financial Reporting
• +3 more

Dr. Ryan Leece is an Associate Professor and Program Director for the undergraduate and graduate accounting programs at the Collat School of Business, University of Alabama at Birmingham. He holds a Ph.D. in Accounting from Virginia Polytechnic Institute and State University, following prior careers as a software engineer and auditor, including certification as a CPA in Kentucky. His research focuses on auditing, financial reporting, and public finance, with notable contributions to understanding municipal debt costs, internal control weaknesses, and the impact of audit outcomes on market behavior. Professional activities include roles in curriculum coordination, faculty governance, and institutional service committees such as the Academic Integrity Task Force and the ACFN Scholarship Committee. Dr. Leece actively engages in research-related conferences and serves the accounting profession through roles like the AAA Annual Meeting organizer. Notable research trends reflect a dual focus on regulatory compliance mechanisms and market-driven financial outcomes, particularly in governmental and nonprofit sectors. Teaching and mentorship are central to his role as a program director, fostering academic and professional development in accounting disciplines. Collaborations include projects on municipal finance transparency, corporate risk management, and the intersection of technology with auditing practices. His work bridges academic research with real-world financial challenges in both public and private sectors.

• Autonomous Mobile Robots
• Computer Vision
• Reinforcement Learning
• +5 more

Dr. Jaime Boal Martín-Larrauri is an Associate Professor at the School of Engineering (ICAI) of Comillas Pontifical University, affiliated with the Electronics, Control and Communications Department. He holds a PhD in Engineering Systems Modeling (2014) and coordinates the M.Eng. in Intelligent Industry since 2019. His research focuses on robotics, computer vision, reinforcement learning, IoT, energy efficiency, and Industry 4.0 applications. He co-founded Stemy Energy (2018–2024) as CTO, developing energy efficiency solutions. Education: PhD in Research in Engineering Systems Modelling, Comillas Pontifical University (2014) M.Sc. in Research in Engineering Systems Modelling, Comillas Pontifical University (2012) Industrial Engineer (Electronics), Comillas Pontifical University (2010) Research Interests: His work integrates hardware-software systems, emphasizing robotic control, energy-efficient IoT platforms, and AI-driven solutions for industrial automation. Key projects include drone detection systems, smart energy grids, and reinforcement learning for industrial robots. Publications & Trends: Recent articles emphasize robotic learning, energy efficiency, and AI interpretability. Notable contributions include reinforcement learning robustness improvements and IoT energy platform architectures. Awards: Multiple Chair for Smart Industry Awards (2021–2024) for outstanding student projects under his supervision Extraordinary End-of-Degree Award (2011) Grants & Labs: Lead projects funded by ENDESA, Ferrovial, MIT, and the Madrid Regional Government. Active in the Institute for Research in Technology (IIT), collaborating on robotics and energy systems. Labs/Teams: Contributes to the IIT’s robotics and IoT research groups, focusing on autonomous systems and smart industry applications.

• Web Services
• Formal Verification
• Software Security
• +3 more

Xiang Fu is a researcher in the Department of Computer Science at Hofstra University, with affiliations to institutions including Georgia Southwestern State University, University of California, Santa Barbara, and Massachusetts Institute of Technology. His work spans formal verification of web services, software security, zero-knowledge proofs, and automated testing frameworks. His research interests include: Web Services Formal Verification Software Security Zero-Knowledge Proofs Automated Testing Software Engineering Recent publications focus on zero-knowledge auditing for financial systems, formal verification of web services, and secure software analysis. Notable tools developed include APOGEE for automated grading and WISEngineering for scalable online learning. No explicit scientific awards are documented in the provided data.

• Industrial Engineering
• Quality Management
• Manufacturing Systems
• +3 more

Tijana Petrović is a Researcher at the Faculty of Engineering of the University of Kragujevac , Serbia. She is affiliated with the Department of Production Engineering , focusing on technical and technological sciences, particularly industrial software applications. Her work bridges theoretical research with practical industrial challenges, emphasizing quality management, manufacturing processes, and Industry 4.0 integration. She holds the scientific field designation in Technical-Technological Sciences and specializes in Industrial Software. Her research interests span Industrial Engineering , Quality Management , and Information Technology in Industry , with a focus on optimizing manufacturing systems, enhancing business excellence through data-driven models, and leveraging digital tools for real-time quality control. She has contributed to advancing methodologies like FMEA, Fuzzy Analytic Hierarchy Process, and MOORA for decision-making in complex industrial environments. In Industry 4.0 , her work explores JavaScript MEAN stack applications for real-time nonconformity management in SMEs, aligning quality control with modern digital transformation. Her studies also address sustainability in manufacturing, including recycling technology evaluation and the impact of quality management on SME resilience. Her scientific contributions include over 20 publications across journals and conferences, emphasizing multi-criteria decision analysis, fuzzy logic models, and process optimization. She actively participates in scientific projects and is part of the University’s academic community, contributing to both research and institutional development.

Ema KelinView profile

Assistant Professor

• Econometrics
• Applied Statistics
• Agricultural Economics
• +5 more

Ema Kelin is a Senior Assistant (Assistant Professor) in the Faculty of Economics at the University of Rijeka, Croatia. Her academic work focuses on applied statistics, econometrics, and interdisciplinary economic research. She teaches courses such as Statistical Methods for Business Decision Making and Time Series Analysis, emphasizing practical applications of quantitative tools in economic analysis. Her research interests span agricultural economics, sustainability, demographic challenges, and education’s role in economic systems. Recent studies address topics like agricultural representation in economic literature, aging population pressures, and health tourism demand in Croatia. Kelin’s teaching integrates software tools (e.g., SPSS, STATA) to prepare students for data-driven decision-making in business and policy contexts. Though no awards are explicitly listed, her contributions to teaching and applied research demonstrate engagement with contemporary socio-economic challenges. Her work bridges theoretical frameworks with real-world applications, particularly in Croatia’s economic landscape.

Ekkart KindlerView profile

Associate Professor

• Model-Based Software Engineering
• Process Mining
• Petri Nets
• +4 more

Ekkart Kindler is an Associate Professor in the Department of Applied Mathematics and Computer Science at DTU Compute, Technical University of Denmark. His research focuses on model-based software engineering, process mining, and road condition assessment using vehicle sensor data. He leads the Competence Centre for Model-Based Software Engineering, supporting industry adoption of advanced software development methodologies. Education: M.Sc. (1990), Ph.D. (1995) from Technische Universität München; Habilitation in Computer Science (2001) from Humboldt-Universität zu Berlin. He held visiting professorships at German universities (2000–2007) and has extensive experience in formal methods, business process modeling, and Petri nets. Research interests include declarative process modeling, complexity metrics for cognitive load assessment, and the integration of formal methods into industrial software development. His work contributes to UN Sustainable Development Goals related to sustainable infrastructure (SDG 9) and innovation (SDG 9). Notable collaborations include road condition assessment projects using vehicle sensor data (LiRA-CD dataset) and contributions to Petri net standards (PNML). He has supervised PhD students such as K. I. Simonsen (protocol software) and A. Skar (road assessment). Grants and projects: Live Road Assessment with Vehicle Sensors (2019–2022), Model Transformation Tools (2013–2016), and waste management modeling (2012–2016). Active in open-source datasets and tool development for indoor climate control (climify.org).