جست‌وجوی استاد و پژوهشگر

• Database Systems
• Data Management
• Graph Databases
• +۵ مورد دیگر

Alin Deutsch is a Professor of Computer Science at the University of California, San Diego (UCSD), specializing in database systems, graph databases, and formal verification. He has contributed significantly to research areas including query optimization, data integration, and privacy-preserving systems. His work spans theoretical foundations and practical implementations, such as the Linked Data Benchmark Council (LDBC) and the TigerGraph database system. He co-authored over 100 papers and has been involved in major conferences like SIGMOD and VLDB. Research interests include graph query processing, parallel computing, data-centric business processes, and automated system verification. Recent work focuses on scalable hybrid analytics and graph databases. Deutsch is also active in database education, co-authoring a paper on UCSD's database curriculum. He has led projects in privacy-aware systems, such as policy-aware location-based services, and contributed to tools like CLIDE for interactive query formulation in service-oriented architectures. His collaborations involve industry partners like TigerGraph and academic institutions globally.

• Business Process Management
• Process Mining
• Process Analytics
• +۴ مورد دیگر

Hajo A. Reijers is a Professor at the University of Utrecht, Netherlands, with a former affiliation at Vrije Universiteit Amsterdam. His research focuses on Business Process Management (BPM), Process Mining, and Robotic Process Automation (RPA), emphasizing practical applications in healthcare, organizational processes, and human-computer interaction. He contributes to developing tools like SWORD for detecting workarounds and DEUCE for auditing electronic health records. His work spans algorithm development for process discovery, predictive analytics, and optimization techniques. Key areas include analyzing event logs, modeling workplace behavior, and enhancing process transparency. Reijers collaborates extensively with industry partners, addressing challenges in process automation, employee acceptance of AI, and ethical monitoring. His contributions to conferences like BPM, CAiSE, and ICIS highlight interdisciplinary approaches, combining computer science with organizational studies. Notable projects include frameworks for task mining, reinforcement learning in care processes, and pattern recognition in government transparency assessments. Research initiatives often involve cross-disciplinary teams, exploring topics like workplace well-being through process mining, decision-making support systems, and overcoming barriers to BPM adoption. His work bridges theoretical advancements with real-world impact, influencing both academic discourse and practical business solutions.

Torben Knudbyمشاهده پروفایل

دانشیار

• Innovation
• Mechanical Design and Manufacturing
• Supply Chain Management
• +۵ مورد دیگر

Torben Knudby is an Associate Professor and Head of Study at the Department of Engineering Technology and Didactics within the Technical University of Denmark (DTU) . His work focuses on innovation processes, mechanical design, supply chain management, and LEAN methodologies. He actively contributes to projects related to the UN Sustainable Development Goals, particularly in circular bioeconomy and organizational communication. Research Interests: Driving circular bioeconomy initiatives through seaweed and agricultural waste utilization Implementing Hoshin Kanri strategy frameworks in manufacturing contexts Advancing sustainable operations management via LEAN and quality systems Publications highlight his expertise in circular supply chains, bioeconomy transitions, and organizational communication. Recent projects include Power Bio (2023–2026) focusing on sustainable bioeconomy systems and Bæredygtig Bundlinje 2.0 (2019–2022) addressing environmental impact reduction.

Peyman Badakhshanمشاهده پروفایل

پژوهشگر

• Business Process Management
• Process Mining
• Industrial Engineering

Dr. Peyman Badakhshan is a Researcher at the Chair of Information Systems and Business Process Management at the University of Münster. His expertise spans Business Process Management, Process Mining, and Industrial Engineering. Educational background includes a PhD in Business/Managerial Economics from Universität Liechtenstein, an MSc in Information Systems, and an M.Eng. in Industrial Engineering. Research focuses on operationalizing process analytics across domains like supply chain, healthcare, and manufacturing. Recent work develops frameworks for agile BPM and process mining tools, with applications in medical training, emergency services, and industrial process optimization. Publications demonstrate consistent innovation in mapping business process landscapes, developing diagnostic instruments, and creating large-scale datasets for academic use. Research integrates methodologies from decision analysis, fuzzy logic, and pattern recognition to solve complex operational challenges.

Neil Kellardمشاهده پروفایل

استاد

• Finance
• International Finance
• Development Economics
• +۴ مورد دیگر

Neil Kellard is a Professor of Finance and Acting Deputy Vice-Chancellor at the University of Essex, affiliated with the Essex Business School's Department of Finance. He holds a BA from Manchester Metropolitan University, an MSc from the University of Warwick, and a PhD from the University of Nottingham. His research focuses on finance, international finance, development economics, applied econometrics, and environmental sustainability. He has supervised numerous PhD students and contributed to over 46 journal articles. His work spans topics like commodity price volatility, financial markets' role in inequality, and environmental policies' economic impacts. Neil has presented at global conferences, including the Quantitative Finance Symposium (Greece, 2018) and the African Econometrics Society (South Africa, 2009). His grants include Innovate UK's KTP3 Application (2021) and ESRC's Smart Data Analytics project (2014). He advises on financial stability, green innovation, and commodity markets. His lab focuses on econometric analysis of financial and commodity markets, with a team exploring long-term trends in global economic systems.

• Business Strategy & Policy
• Digital Transformation
• e-Government Systems
• +۴ مورد دیگر

Professor Yannis Pollalis serves as Department Chair in the Department of Economics at the University of Piraeus' School of Economics, Business and International Studies. He has held this professorship since 1999 after serving as Professor of Strategic Information Systems at Syracuse University's School of Information Studies (1993-1999). He founded and directs both the M.Sc. Program in Economic & Business Strategy (2001) and the Research & Training Center in Digital Transformation & Strategic Leadership (iLEADS Lab, 2017). PhD in Business Strategy & Management Information Systems, University of Pittsburgh MBA in Finance & Operations Management, University of Scranton BSc in Economics, University of Piraeus His research spans Business Strategy, Digital Transformation, and e-Government Systems, with significant contributions to Lean Management in public utilities and healthcare. His work demonstrates consistent focus on applying data analytics to solve public sector challenges while bridging strategic theory and practical implementation across Greek governmental and private institutions. His publication trends reveal deepening specialization in digital governance since 2020, particularly analyzing e-government maturity models, citizen perspectives, and strategic implementation gaps in Greek and European contexts. Earlier work established foundations in strategic information systems, lean transformation frameworks, and healthcare management. Teaching Excellence Awards Editorial Board: International Journal for Information Management Editorial Board: Journal of Marketing & Operations Management Research Pollalis actively advises Greek public sector entities as Vice-Chairman of the Hellenic Development Bank and previously chaired the Committee for New Development Law 4887/2022. His research has received funding from The Onassis Public Benefit Foundation, NATO's Science & Research Program, and the European Network for SMEs Research. He has authored 18 books covering strategic management, e-business, and marketing. He leads the iLEADS Lab research team focused on digital transformation frameworks and strategic leadership development, with significant impact on Greek public sector modernization initiatives.

Ali Nazarpourمشاهده پروفایل

استادیار

• Operations and Supply Chain Management
• Artificial Intelligence
• Mass Customization
• +۴ مورد دیگر

Dr. Ali Nazarpour is an Assistant Professor in Management at the School of Business, Maynooth University. He holds a PhD in Operations and Supply Chain Management from University College Dublin’s Smurfit School of Business, along with a BSc in Industrial Engineering and an MSc in Business Administration from Iran University of Science and Technology. Prior to his academic career, he spent nine years in industry roles, including Sales Supervisor, Marketing and Sales Planning Chief, and Inventory Management Project Manager in the automotive sector, alongside teaching and research activities. His work bridges industry experience with academic rigor, focusing on supply chain optimization, mass customization strategies, and AI integration in business processes. Education: PhD in Operations and Supply Chain Management (Smurfit School of Business, UCD) MSc in Business Administration (Iran University of Science and Technology) BSc in Industrial Engineering (Iran University of Science and Technology) Research Interests: Artificial Intelligence applications in supply chain and logistics Mass customization feasibility across industries and countries Third-party logistics selection methodologies Project management and risk mitigation strategies Global logistics frameworks Industry 4.0 technologies for operational efficiency His publications and conference contributions between 2014 and 2021 highlight trends in leveraging AI for supply chain decision-making, analyzing mass customization challenges, and exploring cross-country operational dynamics. Despite no explicit scientific awards listed, his active participation in conferences like INFORMS, POMS, and EurOMA underscores his academic engagement. In advising and teaching, he focuses on Contemporary Issues in Management, Operations and Supply Chain Management metrics, and Project Risk Management. His industry experience enriches classroom discussions and research projects. He is based in the TSI Building (Room 253) and reachable via ali.nazarpour@mu.ie or phone (01) 474 7516.

• New Product Development
• Knowledge Management
• Collaborative Work Environments
• +۵ مورد دیگر

Angelo Corallo is an Associate Professor at the Department of Experimental Medicine, University of Salento, specializing in technologies and methodologies for collaborative processes in industrial systems. His research spans Digital Business Ecosystems , Cybersecurity , and Collaborative Product Design , focusing on the interplay between technology and organizational dynamics. He leads interdisciplinary research divisions in Open Networked Business Management , Learning and Innovation , and Collaborative Product Design . Research Interests : Corallo's work integrates Information and Communication Technologies (ICT) with Business Management, particularly in Digital Twins for healthcare and manufacturing Knowledge Modeling and Ontology Engineering Industry 4.0 and Smart Manufacturing Agri-Food Sustainability through digitalization Scientific Contributions : His recent articles explore trends in Cybersecurity for Industrial IoT Metaverse Applications in business models Traceability Systems in food supply chains Collagen-Based Biomaterials from aquaponics

Marco Spruitمشاهده پروفایل

استاد

• Advanced Data Science
• Population Health
• Natural Language Processing (NLP)
• +۵ مورد دیگر

Marco Spruit is a Professor of Advanced Data Science in Population Health at Leiden University, holding dual appointments at the Leiden University Medical Center (LUMC) and the Faculty of Science's Leiden Institute of Advanced Computer Science (LIACS). His research focuses on translational data science, integrating machine learning, natural language processing, and healthcare applications to bridge fundamental and applied research. He leads the Translational Data Science & AI Lab (TDS Lab), aiming to establish a national infrastructure for Dutch health data science. Education & Leadership: Spruit earned his PhD in computational linguistics from the University of Amsterdam. He has led numerous initiatives, including the Data Science strategy at Utrecht University and the Translational Data Science research theme at Leiden. His leadership style emphasizes mentorship and collaborative innovation. Grants & Collaborations: Key projects include UNCAN-Connect (€30M EU grant for cancer research), INSAFEDARE (synthetic data for regulatory decisions), and Phaeton (pandemic preparedness platform). He collaborates with institutions globally, including Universitas Gadjah Mada in Indonesia. Research Interests: Spruit specializes in federated learning, synthetic data generation, clinical NLP, and AI-driven healthcare solutions. His TDS Lab addresses challenges in data engineering, analytics, and eHealth implementation, with applications in mental health, diabetes management, and elderly care. Awards: He received the ALLC Bursary Award (2005) for computational linguistics research. His work emphasizes ethical AI and responsible data practices. Lab & Teams: The TDS Lab includes 1 assistant professor, 2 postdocs, 6 PhD students, and 4 external collaborators. Monthly meetings foster academic and social cohesion, with a focus on mentorship and innovation.

Alessandro Arlottoمشاهده پروفایل

دانشیار

• Applied Probability
• Stochastic Modeling
• Stochastic Dynamic Programming
• +۴ مورد دیگر

Alessandro Arlotto is an Associate Professor of Business Administration at Duke University’s Fuqua School of Business , with secondary appointments in the departments of Mathematics and Statistical Science. His research focuses on applied probability, stochastic modeling, and optimization , with applications to management and economics. He holds a Ph.D. from the University of Pennsylvania (2012) and joined Duke the same year. His work has been recognized with the National Science Foundation’s CAREER award. Education : Ph.D. (2012), M.A. (2009) in Mathematics from the University of Pennsylvania; M.S. (2007), B.S. (2004) in Mathematics from the University of Turin, Italy. Research : Explores dynamic resource allocation, stochastic processes, and sequential decision-making. Recent work includes studies on ballot design impacts, inventory management, and strategic service network routing. Teaching : Instructors courses like Stochastic Models, Foundations of Business Analytics, and Quantitative Business Analysis. Grants : Principal Investigator on NSF-funded projects including “CAREER: The effects of centralized and decentralized sequential decisions” (2016–2021) and a conference on Probability Theory and Combinatorial Optimization (2015–2016). His publications emphasize rigorous mathematical approaches to real-world problems, with a focus on minimizing regret in decision-making frameworks and optimizing resource allocation under uncertainty.

Matthew Brehmerمشاهده پروفایل

استادیار

• Human-Computer Interaction (HCI)
• Data Visualization
• Ubiquitous Information Experiences
• +۵ مورد دیگر

Matthew Brehmer is an Assistant Professor at the University of Waterloo, specializing in Human-Computer Interaction (HCI) and data visualization. His research focuses on ubiquitous information experiences, exploring innovative ways to communicate and collaborate around data through multimodal interfaces and interactive visualizations. He holds a PhD from the University of British Columbia (2016), an MSc (2011), and a BComp from Queen's University (2009). His research interests emphasize multimodal communication , data storytelling , and collaboration platforms . Notable themes include gesture-aware augmented reality video presentations, semantic alignment of text and visual data, and adaptive visualization systems for enterprise environments. He leads efforts in designing tools like RemixTape and VisConductor to enhance data-driven narratives and remote collaboration. Recent work trends highlight advancements in dynamic data presentation , context-aware visualization , and cross-platform integration . His projects address challenges in making data accessible and interactive across diverse user contexts, from mobile devices to enterprise systems. Matthew’s contributions span over 50 peer-reviewed articles, with a focus on IEEE VIS workshops and ACM venues. He actively engages with industry through collaborations on tools like QualDash for healthcare and Charticulator for bespoke chart design.

Pär Åhlströmمشاهده پروفایل

استاد

• Lean Manufacturing
• Agile Manufacturing
• Sustainability in Business
• +۶ مورد دیگر

Pär Åhlström is a Professor at the Department of Entrepreneurship, Innovation and Technology at the Stockholm School of Economics (SSE), and serves as Vice President of Degree Programs. He holds the prestigious Torsten and Ragnar Söderberg Chair in Business Administration. His research focuses on lean manufacturing, agile processes, sustainability in operations, and innovation management. He is affiliated with the Mistra Center for Sustainable Markets. Åhlström’s work bridges theory and practice, emphasizing dynamic capabilities, quality management, and the integration of IT with lean principles. His research spans longitudinal studies in manufacturing and services, exploring topics like organizational slack in R&D, modular product design, and healthcare process optimization. He has published extensively across academic journals and presented at international conferences. His awards include the Torsten and Ragnar Söderberg Chair, reflecting his scholarly contributions. His articles highlight trends in sustainable business performance, lean service adoption, and the evolving role of technology in operations. He actively engages in educational leadership, shaping curricula and overseeing degree programs at SSE.

• Corporate Finance
• Corporate Governance
• Going Private Transactions
• +۴ مورد دیگر

Wael Rouatbi is an Associate Professor of Finance at Montpellier Business School's Finance & Accounting department. He obtained his PhD in Management Sciences from University of Paris–Est in 2016 and teaches courses including Corporate Finance, Strategic Finance, Power Platform, and Financial Modeling. His research bridges theoretical finance with practical business applications. Research Interests: Dr. Rouatbi's work spans corporate governance, financial risk analysis, sustainable business practices, and the economic impacts of global crises. Key areas include: Corporate decision-making under market uncertainty Shareholder influence mechanisms Climate and pandemic-related financial volatility Ethical frameworks in investment strategies Publication Focus: His recent articles (2021-2024) demonstrate strong emphasis on how environmental factors and health crises reshape financial markets, with methodologies ranging from econometric modeling to sectoral case studies. Cross-border investment patterns and corporate resilience during disruptions are recurring themes. Awards: 2017 Emerald/EFMD Outstanding Doctoral Research Award in Finance No information is currently available regarding student advising, research grants, or laboratory affiliations.

• Model Engineering
• Web Engineering
• Process Engineering
• +۹ مورد دیگر

Gerti Kappel is a full professor at the Institute of Information Systems Engineering at TU Wien, affiliated with the Business Informatics Group (BIG). Since 2020, she has served as Dean of the Faculty of Informatics at TU Wien, previously holding the role of Dean’s team member responsible for research, diversity, and financial affairs (2016–2019). She previously held a full professorship in computer science (database systems) and led the Department of Information Systems at Johannes Kepler University Linz (1993–2001). Her research focuses on Model Engineering, Web Engineering, and Process Engineering, particularly in cyber-physical production systems. She has co-authored influential works such as UML@Work (2005), UML@Classroom (2015), and Web Engineering (2006). Key projects include leadership roles in Vienna Informatics Living Lab (2018–2019), MPM4CPS (2014–2019), and ARTIST (2012–2015), addressing topics like model versioning, cloud architecture modeling, and inter-organizational systems. Her recent articles explore circular systems engineering, IoT-based simulation environments, and model-driven approaches for time-series analytics and cloud applications. She actively contributes to academic governance, including managing the Office of the Dean (E199-01) and overseeing faculty services. Her work emphasizes bridging theory and practice through collaborative frameworks like ERPEL and TROPIC . Grants: Projects funded by Austrian Research Promotion Agency, European Cooperation in Science and Technology, Vienna Business Agency, and others. Advising: Supervised over 15 graduate theses, including recent works on model-driven techniques for railway planning, debugging frameworks for modeling tools, and cloud-based IDEs. Labs/Teams: Leads research within the Business Informatics Group (BIG) and collaborates with the Vienna Informatics Living Lab for applied systems engineering.

Alvedi Sabaniمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Blockchain
• Cloud Computing
• +۵ مورد دیگر

Dr. Alvedi Sabani is a Senior Lecturer and Program Manager at RMIT University's College of Business and Law, overseeing the Bachelor of Commerce program and leading the EdTech Project. He has held leadership roles including Program Manager for Graduate Certificates in Customer Success and Product Management, and Industry Engagement Director for MBA programs. His research focuses on digital transformation, inclusive technology adoption, and innovative pedagogy through gamification. He co-founded the RMIT GamifiED Hub, advancing learning technologies aligned with RMIT's strategic goals. His work bridges Information Systems and emerging technologies like AI, blockchain, and cloud computing, emphasizing multicultural inclusion in technology adoption. Research interests include AI applications, blockchain governance, and digital innovation leadership. He supervises projects on generative AI in education, digital healthcare transformation, and employer branding in the digital era. His teaching spans Executive MBA programs in areas such as Design Thinking and Technology Futures. He leads the Multicultural Inclusion theme at RMIT's Centre for Organisations and Social Change, addressing equitable technology integration. Key collaborations involve industry engagement for MBA programs and advisory roles. His work contributes to UN Sustainable Development Goals 8 (Economic Growth), 9 (Industry Innovation), 10 (Reduced Inequalities), and 17 (Partnerships). No formal awards are listed, but his contributions to EdTech and inclusive digital practices reflect impactful scholarly work.