جست‌وجوی استاد و پژوهشگر

Nicklas Holmbergمشاهده پروفایل

مدرس ارشد

• Information Systems
• Business Process Service Orientation
• Service Oriented Architecture
• +۵ مورد دیگر

Nicklas Holmberg serves as Senior Lecturer and Head of the Department of Informatics at Lund School of Economics and Management (LUSEM), Lund University. With a PhD in Information Systems specializing in Process and Service Design and Development, he leads the Department of Informatics while maintaining active research and teaching responsibilities. His professional roles include Director of Studies and Director of the Bachelor's Programme, demonstrating comprehensive leadership within the academic unit. Dr. Holmberg's research focuses on Business Process Service Orientation with significant applications in healthcare and banking sectors. His work on the business logic centric digital service VacSam demonstrates practical implementation of his research in vaccination coordination systems. Additional research areas include Service Oriented Architecture, Decision Modeling and Automation, Business Rules Approach, and Business Process Modeling. His research profile shows strong alignment with UN Sustainable Development Goals, particularly in areas related to technology for societal benefit. Analysis of his recent publication trends reveals a strategic evolution from foundational work in Enterprise Resource Planning Systems toward contemporary challenges in digital transformation, AI integration, and information systems education. His 2023-2024 publications increasingly address the impact of generative AI on IS education, decentralized web technologies, and enterprise social media applications, while maintaining continuity with his established research trajectory in business process management. Senior Associate at MIT Research School eGovernment Member DMN On-Ramp Review Group Member IBM Smarter Planet Reference Member Microsoft Certified Technology Specialist (MCTS) As an educator, Holmberg teaches Business Decision Management at the advanced postgraduate level and supervises both BSc and MSc Degree Project Essays. His supervision extends to PhD candidates, with Sinan Deniz listed as a current PhD student under his guidance. He has been involved in significant research projects including S-HELP (Securing Health.Emergency.Learning.Planning), funded by the European Commission FP7 program (2014-2017), and VacSam – Digital eService for Coordinated Vaccination Control (2008-2012). His departmental leadership role encompasses strategic direction for the Informatics department within LUSEM's broader academic framework.

Wolfgang Birkمشاهده پروفایل

استاد

• Automatic Control
• Multivariable Control Systems
• Control Structure Selection
• +۷ مورد دیگر

Wolfgang Birk is a Professor of Automatic Control at Luleå University of Technology (LTU), affiliated with the Division of Signals and Systems within the Department of Computer Science, Electrical and Space Engineering. Currently, he is on leave of absence to support his spin-off company Predge in an intense growth phase, while maintaining his academic affiliation with LTU. Professor Birk received his MSc in Electrical Engineering from Universität des Saarlandes in Germany in 1997, followed by PhD studies at Luleå University of Technology where he earned his PhD in Automatic Control in 2002. His academic journey includes professional experience at Volvo Car Corporation (2002-2006) before returning to LTU in 2006. He was promoted to Associate Professor in 2012 and to Full Professor in 2015. From 2013-2016, he served as Director of Third Cycle Studies, and from 2017-2019, he was a member of the LTU board. Professor Birk's research focuses on the boundary between control theory and practical industrial applications. His primary research interests include structural properties of multivariable and complex systems, control structure selection and interaction in multivariable systems, multivariable and decentralized control, estimation and prediction of system behavior (particularly for condition monitoring and maintenance), and modeling and simulation of complex dynamic systems. His work spans several application domains including process control in industries, transport systems (particularly railway), and energy systems (renewables, district heating and cooling, data centers, and buildings). His recent publications reveal a strong trend toward practical applications of control theory in industrial settings, with particular emphasis on Zero Defect Manufacturing, district energy networks, predictive maintenance, and digital twin technologies. His work demonstrates a consistent focus on bridging theoretical control concepts with real-world implementation challenges across multiple industries. Professor Birk has received notable recognition for his work: Henry Ford Technology Award for the development of Volvo Cars Driver Alert (2007) The Donald Julius Groen Prize 2007 for the journal article "A Driver-Distraction-Based Lane Keeping Assistance System" As an academic supervisor, Professor Birk has guided numerous doctoral students to completion, including Miguel Castaño (2012), Ulf Andersson (2013), Roland Hostettler (2014), Dennis Kleyko (2018), Ali Khadim (2018), and Johan Simonsson (2024). He has also supervised postdoctoral fellows including Maryam Razi, Martin Haller, Roland Hostettler, Miguel Castaño, and Khalid Atta. His research has been supported by various funding sources including H2020 Framework Program, ERA-Net SES, VINNOVA, and the Swedish Energy Agency, with projects focusing on areas such as AI-augmented cooling systems, flexible energy system integration, and efficient wood drying. Professor Birk is actively involved in both academic and commercial applications of control theory, having co-founded SafeCont AB during his PhD studies and later starting SafeMobility (now Sentient+) in 2009. His current focus on Predge represents the continued translation of academic research into practical industrial solutions.

Regina Raganمشاهده پروفایل

دانشیار

• Nanomaterials
• Self-Assembly
• Surface Enhanced Raman Scattering (SERS)
• +۵ مورد دیگر

Regina Ragan is an Associate Professor in the Department of Materials Science and Engineering at the Samueli School of Engineering, University of California, Irvine . Her research focuses on interdisciplinary challenges at the intersection of materials science, chemistry, and physics for novel device development. Education: PhD, California Institute of Technology, Applied Physics, 2002 M.S., California Institute of Technology, Applied Physics, 1998 B.S., University of California, Los Angeles, Materials Science and Engineering, 1996 Her group studies self-assembly mechanisms and nanomaterials for applications in energy systems and low-cost diagnostic devices , with recent work on telemedicine innovations and SERS sensors capable of identifying trace analytes in biological contexts. Current research trends include molecular structure engineering , spinodal decomposition in composites, and thermodynamic driving forces for nanoscale device optimization. The group has published in ACS Nano and actively trains graduate researchers like Hong (thesis defended 2022), Sebastian, Héctor, Chloe, and Will. Laboratory Highlights: Develops nanosystems via self-assembly and scanning probe microscopy Pursues atomic/molecular control in energy materials Focuses on record-performance SERS architectures

Alexander Pflaumمشاهده پروفایل

استاد

• Supply Chain Management
• Digital Transformation
• Internet of Things (IoT)
• +۵ مورد دیگر

Prof. Dr. Alexander Pflaum is a Chairholder at the Chair of Supply Chain Management, Otto-Friedrich University Bamberg, and Director of the Center for Supply Chain Services at the Fraunhofer Institute for Integrated Circuits (IIS) in Nuremberg. He specializes in the economic evaluation of innovative ICT technologies, technology-oriented service engineering, and distributed application systems using smart object technologies in logistics and supply chain management. Education: Studied Electrical Engineering at Friedrich-Alexander University Erlangen-Nuremberg (FAU), earned doctorate in Business Administration (2001) on RFID and Supply Chain Management. Research Interests: Focus on digital transformation of supply chains, IoT platforms, smart logistics, and business model innovation. Publications: Over 200 publications, including books, book chapters, and studies addressing IoT, Industry 4.0, and circular economy in supply chains. Leadership: Founded the Competence Center for Business Models in the Digital World in Bamberg and led multiple Fraunhofer research initiatives. His work bridges academia and industry, with active participation in standardization processes and international conferences.

• Additive Manufacturing
• Advanced Manufacturing
• Design for Manufacturing
• +۶ مورد دیگر

Dr. Mostafa Yakout serves as an Assistant Professor in the Department of Mechanical Engineering within the Faculty of Engineering at the University of Alberta. A Professional Engineer (P.Eng.) licensed in Alberta and Ontario, he also holds an Adjunct Research Professor position at Western University (2022-2025). Previously, he served as a Sessional Instructor at McMaster University and an Assistant Lecturer at Alexandria University. His educational background includes: Postdoctoral Fellowship, McMaster University, Canada, 2019-2022 Ph.D. Mechanical Engineering, McMaster University, Canada, 2015-2019 M.Sc. Production Engineering, Alexandria University, Egypt, 2011-2013 B.Sc. Production Engineering, Alexandria University, Egypt, 2005-2010 Dr. Yakout's research focuses on developing process-driven solutions for additive manufacturing of next-generation materials, including alloys containing rare-earth metals, high-performance metal alloys, and high-temperature materials. His group employs numerical, analytical, and experimental methods to establish critical process-structure-property-performance relationships. This work directly supports clean technology development and industrial transformation toward net-zero emissions in Canadian manufacturing. Analysis of his recent publications (2021-2025) reveals dominant themes in laser powder bed fusion (LPBF), particularly Inconel 617 applications for small modular reactors, rare earth element-doped coatings, and magnetic alloy optimization for electric motors. His research consistently integrates multiphysics modeling, in-situ process monitoring, and microstructure-property relationship studies targeting aerospace, nuclear energy, and biomedical engineering applications. No specific scientific awards or fellowships are documented in the provided materials. Dr. Yakout currently accepts undergraduate students for research supervision. His group collaborates extensively with industry, government agencies, and academic institutions across Canada and internationally. As CARDD-Tech Research Lead, he focuses on critical minerals and rare earth elements to advance sustainable manufacturing solutions aligned with national clean technology initiatives. He leads the ANGAM Group, which specializes in additive manufacturing process development for advanced materials. The team's work emphasizes hybrid additive manufacturing techniques and design optimization for industrial applications requiring high-performance material solutions.

• Systemic Risk
• Spillovers
• Interconnectedness
• +۳ مورد دیگر

Dr. Ghufran Ahmad serves as a Lecturer at Cardiff Business School, Cardiff University, having joined in January 2023. Previously, he held academic positions at the National University of Sciences and Technology (NUST) Business School in Pakistan from September 2017 to January 2023, where he progressed from Assistant Professor (2017-2022) to Associate Professor (2022-2023). His academic career bridges Pakistani and international institutions, demonstrating strong expertise in economic research and education. Dr. Ahmad's educational background includes: Ph.D. in Economics from Texas A&M University, College Station, Texas, USA B.Sc. (Hons.) in Economics from Lahore University of Management Sciences, Lahore, Pakistan His research focuses on systemic risk, spillovers, and interconnectedness in financial systems, with particular attention to how these phenomena affect macroeconomic stability during crises. His work in behavioral economics examines decision-making processes and preference consistency in contexts like food consumption and housing markets. He also investigates microeconomic theory applications to real-world problems, including market design and incentive compatibility. His interdisciplinary approach bridges theoretical economics with practical policy implications across finance, public health, and social policy domains. Dr. Ahmad's recent publications (2021-2025) demonstrate a strong focus on systemic risk across multiple contexts including pandemics, geopolitical conflicts, and digital currency innovations. His work spans finance, economics, and public health, showing significant interdisciplinary reach. The publications reveal increasing attention to contemporary global challenges like the Russia-Ukraine war's financial impacts, central bank digital currencies, and pandemic-related economic disruptions. His research combines theoretical modeling with empirical analysis to address pressing economic issues with policy relevance. Dr. Ahmad's scholarly contributions have been published in well-reputed international journals including: Journal of Economic Behavior and Organization Games and Economic Behavior Journal of Forecasting Pacific-Basin Finance Journal Emerging Markets Review Finance Research Letters As a Lecturer at Cardiff Business School, Dr. Ahmad teaches Financial Economics, the British Economy, and Introductory Econometrics. He is available for postgraduate supervision, indicating his active role in mentoring graduate students. While specific grant information isn't detailed in the available text, his diverse research portfolio spanning financial systems, behavioral economics, and public health suggests successful engagement with various funding mechanisms. His collaborative work with researchers across disciplines and countries demonstrates strong networking capabilities essential for academic research. Though specific laboratory affiliations aren't mentioned, Dr. Ahmad's research involves significant collaboration across disciplines and institutions. His work connects economics with public health, particularly in studies related to pandemic responses and sexuality education in Pakistan. These collaborations suggest involvement in interdisciplinary research teams addressing complex societal challenges through combined expertise in economic modeling, public health, and policy analysis.

Luigi De Lucaمشاهده پروفایل

استاد

• Marketing Strategy
• Innovation Management
• Digital Transformation
• +۴ مورد دیگر

Professor Luigi De Luca is Professor of Marketing and Innovation at Cardiff Business School, Cardiff University, where he has been employed since 2009. He served as the School's Pro-Dean for Doctoral Studies from 2018 to 2023 and, as of January 1, 2025, is co-Editor-in-Chief of the Journal of Product Innovation Management. His academic career progression includes positions as Reader in Marketing (2011-2015) and Senior Lecturer (2009-2011). Dr. De Luca earned his PhD from Bocconi University, establishing his foundation in marketing and innovation research. His scholarly trajectory demonstrates a clear evolution from traditional marketing topics toward the increasingly critical domain of digital transformation and public value creation. Professor De Luca's research focuses on the strategic and organizational dimensions of digital transformation, with particular attention to how digital technologies intersect with innovation processes and create public value. His recent publications explore big data adoption, digital inclusion challenges, and organizational capabilities needed for successful digital transformation. His work combines theoretical rigor with practical implications for organizations navigating the digital age, spanning diverse sectors from energy to public services. Cardiff University Doctoral Supervisor of the Year (2022) JPIM Thomas P. Hustad Best Paper Award (2014) Professor De Luca actively supervises PhD students on topics related to Big Data and AI in organizational decision-making and various innovation domains. He serves on editorial boards of Journal of Product Innovation Management, Industrial Marketing Management, and Journal of Strategic Marketing. Beyond academia, he contributes to the community as a Board Member of the Product Development and Management Association, Trustee for Gympanzees charity, and Vice-Chair of Governors at St Peter's RC Primary School, demonstrating his commitment to applying academic knowledge to real-world challenges.

• Procurement Management
• Supply Chain Management
• Public Sector Supply Chains
• +۴ مورد دیگر

Anthony Flynn is a Senior Lecturer in Purchasing and Supply Management at Cardiff Business School, Cardiff University. His research focuses on public sector supply chains, SME procurement, and modern slavery risk management. He teaches undergraduate and postgraduate modules in procurement and supply chain management. Education: PhD (Dublin City University, 2015), MSc (Dublin Institute of Technology, 2008), MBS (National University of Ireland, Galway, 2004), BComm (National University of Ireland, Galway, 2003) His research examines SME participation in public procurement, buyer behavior, and ethical challenges in global supply chains. Recent work analyzes modern slavery risk management and pandemic impacts on supplier payment practices. Anthony's publications appear in ABS 3-4 journals like Supply Chain Management and Journal of Purchasing & Supply Management , covering topics from policy implementation to strategic public procurement. He serves as Associate Editor for the Journal of Public Procurement and External Examiner at multiple universities. Key Awards: 2018 Emerald Literati Outstanding Paper Award 2022 Runner-up in World Bank Case Study competition 2004 Commerce Faculty Scholarship (NUI Galway) As part of IPSERA's Public Procurement SIG, he supervises doctoral candidates and collaborates on research projects examining procurement policy and ethical supply chains.

• International Trade
• Development
• Industrial Organization
• +۴ مورد دیگر

Lena Sheveleva is a Senior Lecturer at Cardiff Business School, Cardiff University, where she has been teaching since completing her PhD at Penn State University in 2014. Her academic position places her at the intersection of economic theory and practical business applications, with a strong focus on international trade dynamics and data-driven analysis. Education: PhD in Economics, Pennsylvania State University BA in Mathematics, American University in Bulgaria BA in Economics, American University in Bulgaria Dr. Sheveleva's research program bridges traditional economic frameworks with modern data science methodologies. Her work examines how multi-product firms operate in global markets, how governmental trade policies affect business decisions, and how economic principles can inform data science applications in business contexts. She applies econometrics and machine learning to large-scale datasets for predictive modeling, causal inference, and business analytics, with particular emphasis on workforce productivity and resource allocation problems. Her recent publications demonstrate a clear trajectory toward integrating economic theory with practical business analytics, focusing on worker productivity, multi-product export strategies, and the impact of trade policies on firm behavior. This research combines rigorous theoretical frameworks with empirical analysis of real-world business challenges. Scientific Recognition: Journal reviewer for American Economic Journal: Microeconomics and Economics Letters Recipient of multiple research grants including ESRC Business Boost and Seed Fund projects Cardiff-Xiamen Mobility Grant recipient (suspended due to Coronavirus) Dr. Sheveleva actively supervises postgraduate students and serves as a valuable resource for research projects examining the intersection of economics and business analytics. Her current work with co-author Jiangyang Wang on non-tariff measures demonstrates her ongoing commitment to understanding how trade policies affect importing firms. She also explores how economic principles can inform data science applications in fraud detection, worker productivity optimization, and pricing strategy development.

Eduard Ionel Stanمشاهده پروفایل

استادیار

• Formal Methods
• Symbolic Reasoning
• Artificial Intelligence
• +۷ مورد دیگر

Eduard Ionel Stan is an Assistant Professor at the University of Milano-Bicocca's Department of Informatics, Systems and Communication. He specializes in bridging formal methods, symbolic reasoning, and AI, particularly in explainable AI (FXAI). His work emphasizes enhancing AI interpretability and trustworthiness, especially in healthcare applications through projects like ANTHEM. He leads the Intelligent Sensing Lab (ISLab), collaborating on neuro-symbolic AI and robotic teleoperation with task recognition. His research spans modal logics, temporal reasoning, and rule-based learning. He actively serves on committees for conferences like ECAI2025 and IJCAI2025, and as an Associate Editor for Frontiers in Artificial Intelligence. His contributions include tools like the ModalDecisionTrees.jl package and publications on topics ranging from audio classification to gas turbine prediction. Stan is committed to education, mentoring students in AI ethics and transparency. He advocates for AI as a tool to enhance human capabilities through collaboration and ethical design.

Stefan Manegoldمشاهده پروفایل

استاد

• Database Systems
• Column-store Database Architectures
• Data Management for Sciences
• +۷ مورد دیگر

Stefan Manegold is a Professor for Data Management (0.2 fte) at Leiden University's Faculty of Science within the Leiden Institute of Advanced Computer Science (LIACS), while also serving as a Senior Researcher (0.8 fte) and former Head (2011-2024) of the Database Architectures Research Group at Centrum Wiskunde & Informatica (CWI) in Amsterdam. His career spans over 27 years at CWI and 11 years as a professor at Leiden University, with prior experience at Humboldt-Universität zu Berlin. Professor Manegold's research focuses on innovative database architectures, particularly column-store systems and hardware-aware database technologies. His expertise spans database query optimization, parallel and distributed information systems, XML storage and processing, and scientific data management. He has pioneered work in adaptive indexing, progressive query processing, and main-memory database systems that leverage modern hardware capabilities. His research bridges theoretical database concepts with practical implementations, as evidenced by his involvement in the MonetDB open-source database system. His work shows a clear evolution from foundational database research toward addressing modern challenges in big data management, scientific data processing, and interactive analytics. Recent publications demonstrate his continued leadership in database indexing techniques, GPU-accelerated database operations, and geospatial data management. Professor Manegold has received significant recognition for his contributions to the database community, including the prestigious 2020 ACM SIGMOD Contributions Award, the VLDB'2011 Challenges & Visions Track Best Paper Award, and the VLDB'2009 10-year Best Paper Award. His work has had substantial impact on both academic research and practical database system design. He has been actively involved in the academic community through conference organization, particularly with SIGMOD and VLDB events, and has contributed to numerous workshops including the Data Management on New Hardware (DaMoN) series. His leadership extends to collaborative research projects such as SciLens, PROMIMOOC, and DAMIOSO, which address data management challenges in scientific domains. Professor Manegold leads the Database Architectures Research Group at CWI, which has been at the forefront of database system research for decades. The group's work on MonetDB has influenced modern column-store database systems and continues to push boundaries in areas like progressive query processing and hardware-aware database design.

• Decision science
• Data science
• Causal machine learning
• +۶ مورد دیگر

Wouter Verbeke is Professor of Decision Science at KU Leuven's Faculty of Economics and Business (FEB), where he directs the POC Doctoraatsprogramma Economie en Bedrijfswetenschappen and chairs the Doctoral Committee. He is a core member of Leuven.AI and leads the Information Systems Engineering Research Group (LIRIS), focusing on data-driven business decision-making. His research spans causal machine learning, uplift modeling, and cost-sensitive learning with applications in fraud detection, credit risk, operations management, and pricing. Verbeke pioneers decision-centric frameworks that optimize business outcomes rather than purely predictive accuracy, emphasizing causal inference for resource allocation and fairness in algorithmic decision systems. Analysis of his recent publications reveals a strong trend toward graph-based anti-fraud systems (particularly for AML/smurfing detection), interpretable causal machine learning in finance, and HR analytics using process mining. His work increasingly integrates fairness considerations into operational decision systems while advancing theoretical foundations of treatment effect estimation under network interference. Scientific awards: EURO award for best article in European Journal of Operational Research (Innovative Applications of O.R.) (2014) Verbeke actively supervises doctoral candidates including S. De Vos and M. Reusens, with research funded through major grants like ANUBIS (Aligned oNline and multilevel User and entity Behavior) and prescriptive analytics projects for intelligent organizations. He serves on editorial boards of Decision Support Systems, Business Information Systems Engineering, and INFORMS Journal on Data Science. As leader of the LIRIS research group within FEB, he drives interdisciplinary collaborations between data science and business domains, maintaining strong industry partnerships for real-world validation of fraud analytics, credit risk, and operational decision systems.

• Climate Modeling
• High-Performance Computing
• Earth System Dynamics
• +۲ مورد دیگر

Italo Epicoco is a Researcher at the CMCC Foundation (Centro Euro-Mediterraneo sui Cambiamenti Climatici), specializing in climate modeling and high-performance computing. His work focuses on Earth system dynamics, computational science, and environmental informatics through extensive publication records. His research interests span Climate Modeling , High-Performance Computing , and Environmental Informatics . Epicoco develops advanced computational frameworks for climate simulations, with expertise in parallel algorithms, big data analytics, and Earth system model intercomparisons. His work bridges climate science and computer science to improve predictive capabilities for climate change impacts. Analysis of his publications reveals strong emphasis on computational infrastructure for climate research, particularly in optimizing Earth system models for high-performance computing environments. His work frequently addresses model integration challenges and data-intensive climate analytics. Epicoco collaborates extensively with international climate research initiatives, contributing to major model intercomparison projects. His technical expertise supports the CMCC's High Performance Computing Center and Advanced Digital Innovation Center.

• Operations Management
• Supply Chain Management
• Sustainability
• +۳ مورد دیگر

Professor Ronan McIvor is a Professor of Operations Management at the Department of Accounting, Finance & Economics, part of the Ulster University Business School in Belfast. His research focuses on operations management, supply chain resilience, sustainability, additive manufacturing, and business process outsourcing. He holds an office at Room BC-09-217, 2-24 York Street, Belfast (BT15 1AP). His work explores strategic frameworks for reshoring decisions, the impact of additive manufacturing on production relocations, and the role of big data in SME innovation. He also examines supply chain agility through analytical capabilities and sustainable practices in agri-food systems. Key themes include the integration of environmental and economic perspectives in global supply chains, and the application of advanced methods like genetic algorithms to reduce operational inefficiencies. Professor McIvor has contributed to understanding buyer-supplier dynamics, human capital reporting practices in Ireland and the UK, and ISO14001's role in operational performance. His articles span over two decades, addressing topics from e-business service impacts in telecoms to the governance of shared services in public sectors. His research bridges theoretical models (e.g., multi-theory frameworks) with practical applications, aiming to enhance organizational performance through strategic decision-making and sustainable practices. While no specific awards or grants are listed, his extensive publication record reflects sustained contributions to operations and supply chain management disciplines.

Karthik Shivashankarمشاهده پروفایل

پژوهشگر ارشد

• Software Engineering
• Machine Learning
• Natural Language Processing
• +۳ مورد دیگر

Karthik Shivashankar is a Doctoral Research Fellow in Software Engineering at the University of Oslo's Department of Informatics. His research develops transformer-based NLP methodologies to enhance software engineering processes, focusing on technical debt identification, issue classification, and maintainability optimization. Investigation domains include machine learning applications for task prioritization in development workflows, anti-pattern detection in ML systems, and scalable maintenance solutions. Recent publications demonstrate novel approaches to automating software quality assessment through issue tracker analysis and repository mining. Shivashankar contributes to the Software Engineering (SE) research group with cross-disciplinary applications in educational policy analysis and healthcare AI. His scholarly outputs reflect consistent emphasis on bridging NLP capabilities with practical software engineering challenges.