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Stephane FaulknerView profile

Researcher

• Computer Science
• Artificial Intelligence
• Requirement Engineering
• +7 more

Stephane Faulkner is a researcher at the Namur Digital Institute , University of Namur. Holding a Doctor of Economics degree, his work bridges Multi-Agent Systems , Requirement Engineering , and Blockchain applications in Information Systems. He supervises PhD candidates like Vermaut, B. and DEHOUSSE, S. and contributes to projects such as the Data-Intensive Recommendation Framework for Player Selection in Sport Management . Research Trends : Recent work includes Generative AI in decision-support systems (2025) Bibliometric analysis of soccer performance (2024) Blockchain-based requirements engineering (2021) User interface modeling from informal designs (2005) Affiliations : He collaborates with researchers across Europe, with projects spanning software engineering, sports analytics, and decentralized applications. His expertise aligns with UN SDGs in education and digital transformation.

• Intelligent Transport Systems
• Electromobility
• Connected and Automated Vehicles
• +4 more

Jiaming Wu serves as Assistant Professor at Chalmers University of Technology within the Department of Architecture and Civil Engineering. His work focuses on modeling and optimization of intelligent transport systems , with specialized attention to electromobility , connected and automated vehicles , and intersection control . Key research trends from his publications include: Advancements in electric vehicle charging optimization using decomposition techniques Development of deep learning architectures for autonomous vehicle trajectory prediction Exploration of multi-objective routing algorithms for mixed traffic environments Innovations in edge computing for transportation network problems Analysis of energy efficiency in shared micromobility systems He actively contributes to: Academic leadership as Associate Editor for IEEE Transactions on Intelligent Transportation Systems Editorial work for Multimodal Transportation Conference committee memberships in transportation technology domains

• Extragalactic Astrophysics
• Galaxy Formation and Evolution
• Active Galactic Nuclei (AGN)
• +10 more

Professor Stas Shabala is a faculty member at the School of Natural Sciences, University of Tasmania , where he serves as Associate Head Research and Professor of Physics . His academic career spans theoretical and observational astrophysics, with a focus on supermassive black holes and galaxy evolution, as well as geodesy and data science. PhD in Astrophysics and Cosmology, University of Cambridge (2008) BSc (1st Class Hons) in Physics, University of Tasmania (2003) Shabala's research expertise lies in extragalactic astrophysics , particularly the formation and evolution of galaxies and the physics of Active Galactic Nuclei (AGN) . His group develops analytical and computational models for black hole jets and their interactions with galactic environments, contributing to understanding galaxy evolution and AGN feedback. In geodesy , his work improves Very Long Baseline Interferometry (VLBI) techniques for Earth orientation measurements. He also integrates data science methodologies for Bayesian inference and large dataset analysis. His recent publications align with cosmological simulations of AGN jets, studies of radio galaxy morphology , and analysis of high-redshift protoclusters . Projects often leverage data from next-generation telescopes like SKA pathfinders , MeerKAT , and ASKAP . Endeavour Research Fellowship (2018) ARC Super Science Fellowship (2011-2013) ARC Discovery Early Career Researcher Award (2013-2016) Shabala supervises PhD students in astrophysics and geodesy, with completed projects on topics including AGN jet dynamics , interstellar lifecycle , and radio source polarization . He also coordinates physics teaching units at UTAS, emphasizing problem-solving and real-world applications. His international collaborations span institutions in the UK, Netherlands, Austria, and Australia, with active roles in science policy and academic leadership as President of the Astronomical Society of Australia .

• Electrical and Electronic Engineering
• Microelectronics
• Nanoelectronics
• +7 more

Danilo Demarchi is Full Professor at the Polytechnic University of Turin's Department of Electronics and Telecommunications (DET). He directs the eLiONS Lab and coordinates PoliTO's Italian Institute of Technology Microelectronics Group. As pioneer in wearable plant sensors and AgriFood electronics, he bridges microelectronics with agriculture and biomedical applications. IEEE Senior Member Founder & Editor-in-Chief: IEEE Transactions on AgriFood Electronics General Chair: IEEE BioCAS (2017), IEEE CAFE (2023) Research spans smart systems for: Precision agriculture (IoT, plant health monitoring) Biomedical devices (implantables, wearables) Low-cost electronics Molecular electronics His 350+ publications focus on bio-inspired architectures integrating microsystems with physiological applications, while leading EU and PNRR projects like FERNS and ATHOS. Scientific leadership includes: Coordinating 5 EU projects Founding 2 IEEE conferences Editorial roles in 4 IEEE journals Current PhD students explore topics from plant bioimpedance to pilot workload monitoring, supported by his 5 granted patents and extensive industry collaborations.

Cancan WangView profile

Lecturer

• IT Governance
• Sustainability Transition
• Data Governance
• +5 more

Cancan Wang serves as a Lecturer in Digitalisation, Democracy, and Governance at the IT University of Copenhagen's REFLECT Center for Climate IT. Her academic work bridges technology policy, sustainability transitions, and data governance frameworks across public and private sectors. Her research focuses on IT Governance , Data Commons , and Political Economy of Data , with particular expertise in China's digital policy landscape and ESG data infrastructure. Current investigations examine how data systems enable sustainability transformations while navigating regulatory complexities in fintech and climate governance contexts. Wang's publication trends reveal intensifying focus on data-driven sustainability (40% of 2023-2025 output), China's governance models (25%), and regulatory responses to AI (20%). Her work increasingly integrates cross-disciplinary perspectives from political science, information systems, and environmental studies. Awarded the Kauffman Best Paper Award Runner Up (2022) for contributions to information systems research, her recognition highlights growing influence in digital governance scholarship. Principal Investigator for GreenITSME (2025-2026) exploring service-oriented green IT models for SMEs Co-Investigator in DecouplingIT (2022-2027), a €4.2M EU-funded climate crisis mitigation project Project lead for DEED-Fintech (2024) developing ESG data governance education for startups Wang actively shapes discourse through media engagements including Børsen commentary on AI legislation and Danish public radio appearances analyzing data sovereignty. Her leadership extends to chairing the 2023 Conference on Sustainability and Data and organizing the CDW Global Comparisons Masterclass series.

• Distributed Stream Processing
• Data Stream Analytics
• Database Optimization
• +3 more

Dr. Boris Novikov is a prominent Russian computer scientist affiliated with St Petersburg University and the Higher School of Economics . His research focuses on distributed stream processing, temporal databases, and XML query optimization. Key collaborators include Artem Trofimov , Elena Mikhailova , and Anna Yarygina . Research Areas : Distributed Systems (stream processing, substream management) Database Optimization (vertical partitioning, XML caching) Temporal Data Management Machine Learning (concept drift detection) His recent work on distributed stream processing (2023-2022) explores substream bounding, deterministic models, and resource allocation strategies. Earlier contributions (2012-2008) focused on XML query performance, similarity indexing, and access control frameworks. Technical Trends : Event time alignment in distributed architectures Dynamic residual projection for cybersecurity Bi-objective optimization in database systems Speculative execution with conflict resolution Incremental Lagrangian dual solutions Matrix clustering for partitioning problems

Xhemal ZenuniView profile

Professor

• Computer Science
• Machine Learning
• Internet of Things (IoT)
• +7 more

Xhemal Zenuni is a Full Professor and current Dean at the Faculty of Contemporary Sciences and Technologies, South East European University (Tetovo, North Macedonia). His academic career spans multiple roles from IT Administration Assistant (2003-2004) to progressively senior positions including Young Assistant (2004-2006), Assistant (2006-2008), Assistant Professor (2013-2018), Associate Professor (2018-2023), and now Full Professor since 2023. Education: PhD in Computer Sciences (2006-2012, Technical University of Sofia), specialization in Computer Systems, Complexes and Networks Master of Sciences in Informatics (2004-2005, New Bulgarian University), specialization in Internet Software Technologies Bachelor of Sciences in Computer Sciences (2001-2003, SEEU) With expertise in Machine Learning , IoT , Cloud Computing , and Database Systems , his research focuses on applying AI/ML techniques across multiple domains. Recent work includes predictive modeling in education, hate speech detection for Albanian social media, smart agriculture systems, and microservices architecture migration. His publications demonstrate consistent engagement with modern computational challenges, particularly around low-resource language processing , smart city infrastructure , and educational technology . While serving as Dean and Vice-Dean, he has maintained active research output through collaborations with colleagues like Mentor Hamiti, Jaumin Ajdari, and Florije Ismaili.

Carsten TrinitisView profile

Professor

• High Performance Computer Architectures
• Microprocessor Architectures
• Co-design
• +5 more

Prof. Dr. Carsten Trinitis is a full professor at the Chair of Computer Architecture & Parallel Systems within the TUM School of Computation, Information and Technology. Specializing in high-performance computer architecture with a unique focus on spaceflight applications and informatics ethics, he leads the 'Gesellschaft für Informatik und Ethik' (Society for Informatics and Ethics). Ph.D. in Electrical Engineering from TUM (1998) Industry experience before returning to academia Former Assistant Professor in History of Science (2002-2010) at Universität der Bundeswehr München Full Professor of Distributed Computing at University of Bedfordshire (2010-2014) His research spans three major domains: High-Performance Computing: Focused on microprocessor architectures, hardware-oriented optimizations, and co-design approaches. Recent work includes GPU power capping strategies and Data Distribution Service (DDS) middleware enhancements. Space Systems: Pioneering computer architectures for nanosatellites with projects like MOVE-II mission and MicroPython-based satellite control systems. Digital Ethics: Through his 'Gewissensbits' initiative, he explores ethical decision-making frameworks for technology and contributes to the German Informatics Society's ethical guidelines. Key publication trends show interdisciplinary work connecting: HPC systems and edge AI applications FPGA-based verification and RISC-V processors Time series analysis at petascale performance Hardware-software co-design for extreme environments Continued emphasis on ethical computing frameworks Scientific Recognition: TeachInf Award for Outstanding Teaching (2023) Hans Meuer Award for Best Paper (2020) ZARM Master Thesis Awards (2016, 2017) Prof. Trinitis leads multiple research projects including: SEANERGYS (EuroHPC) - Energy-efficient computing systems PlasmaPEPS - Plasma physics simulation environments OpenCUBE - Open computing frameworks for space MUNIQC-ATOMS - Quantum computing integration

Luca VeltriView profile

Associate Professor

• Cybersecurity
• Internet of Things
• Network Security
• +6 more

Associate Professor Luca Veltri has been with the University of Parma since 2002 and currently holds the rank of Associate Professor in the Department of Engineering and Architecture. He also serves as Director of the Parma Node of the National Cybersecurity Laboratory of CINI and is a member of the Department’s Quality Assurance Committee. His research and teaching revolve around cybersecurity, the Internet of Things, and network protocols. Education Ph.D. in Information and Communication Engineering, University of Rome “La Sapienza” (1999) M.Eng. in Telecommunications Engineering, University of Rome “La Sapienza” (1994) Research Interests Prof. Veltri’s current investigations focus on three main pillars: Cybersecurity: developing threat-detection algorithms and secure architectures for constrained IoT devices; Internet of Things: integrating heterogeneous protocols (LoRaWAN, MQTT, CoAP) and enabling trustworthy, large-scale deployments; Network Protocols & Systems: designing lightweight, privacy-preserving communication stacks and blockchain-based security frameworks. He complements theoretical work with the release of open-source tools such as mjSIP (VoIP library), NEMO (network emulator), and ZWT (cross-platform GUI framework). Recent Publication Trends Over the past five years his scholarly output has gravitated toward machine-learning-driven anomaly detection in medical IoT environments, blockchain solutions for privacy and integrity in location-based services, and secure interoperability between LoRaWAN and other IoT ecosystems. These works blend rigorous algorithmic contributions with real-world validation, appearing in top-tier journals and conferences as well as IETF drafts. Grants & Projects Prof. Veltri has participated in numerous national and international projects funded by: European Union (ACTS, FP6, FP7, H2020) European Space Agency (ESA) Italian Ministry of Education, University and Research (MIUR PRIN) Emilia-Romagna Region Labs & Teams He currently leads the Parma Node of the National Cybersecurity Laboratory (CINI) , coordinating multi-site efforts on IoT and network security. Previously he directed the UniPR Co-Lab Interdepartmental Center (2014–2017) and served as Rector’s Delegate for University Networks and Telephony (2015–2017), overseeing the campus network infrastructure and security posture.

• Parallel Computing
• Bioinformatics
• Data Science
• +7 more

Sophie ROBERT is a Lecturer at the University of Orleans , affiliated with the LIFO lab (Building IIIA, 6 rue Léonard de Vinci). She serves as a Team Leader and Board Member for the Pamda Working Group - Sustainable Development . Her work spans interdisciplinary domains including parallel computing, bioinformatics, and scientific visualization. Research Focus: Parallel algorithms, distributed systems, and scalable data processing Key Tools: FastFlow, MapReduce, LSH Applications: Genomic analysis, neural network training, geospatial data Her publications demonstrate expertise in parallelization techniques for large-scale data analysis, including contributions to RNA-Seq processing , LSH-based similarity joins , and DNN distributed training . She also explores domain-specific languages like GeoSkelSL for geoscience applications. As an active academic, she collaborates with institutions across France and participates in interdisciplinary projects bridging computational methods with environmental and healthcare domains. Her email is sophie.robert@univ-orleans.fr .

Marcel MauriView profile

Researcher

• Business Informatics
• Agile Workflow Management
• Business Process Management
• +6 more

Marcel Mauri is a researcher in the field of Business Informatics at Goethe University Frankfurt. His work focuses on agile workflow management, business process management, case-based reasoning, cloud computing and knowledge management. He has been actively involved in research projects like EVER and WFCF that investigate methods for transferring workflows between domains and managing cloud-based workflow systems. Research Interests Marcel's research interests center around: Agile workflow management and business process management Case-based reasoning and knowledge extraction from processes Cloud computing and resource management in distributed systems Recent Publications His recent publications show a strong focus on autonomous mobility systems and cloud management. He has published extensively on: Integration of BDI agents with traffic simulation tools Workflow transfer learning between domains Experience management approaches for cloud task placement Projects Marcel has been involved in several research projects: Project EVER - Extraction and Processing of Procedural Experience Knowledge in Workflows WFCF - Workflow Cloud Framework for process-oriented case-based reasoning CAKE - Collaborative Agile Knowledge Engine for workflow management

Ofer MintzView profile

Associate Professor

• Marketing Strategy
• Digital Marketing
• Start-up Firm Strategies
• +5 more

Ofer Mintz is an Associate Professor and Associate Head (External Engagement) of the Marketing Department at the University of Technology Sydney (UTS) Business School. His research focuses on marketing strategy, digital marketing, metrics, and pandemic-era business strategies. He has held roles at UTS since 2012, including Senior Lecturer and Visiting Associate Professor at Tel Aviv University's Coller School of Management. Education: PhD in Marketing from UC Irvine, MSc in Finance from Birkbeck College, and BBA in Marketing from Texas A&M. Research Interests: Marketing metrics, digital marketing's role in startups, pandemic business strategies, and national customer orientation. Key works include the Buzzell Award-winning study on marketing metrics and the book The Post-Pandemic Business Playbook . Articles Trends: Recent works analyze B2B startup marketing investment, metaverse marketing opportunities, and national customer orientation trends across global economies. His research bridges academic insights with managerial practices, emphasizing actionable strategies for firms. Awards: 2021 Buzzell Award, Top Teacher Award (2022), Innovation in Research Award (2021) Grants: A$409k for addressing digital marketing labor shortages via women's re-entry programs, and grants on startup funding and marketing metrics. Labs/Teams: Co-leads the Digital Marketing Management Training Program for women re-entering the workforce, collaborating with industry partners like IAB Australia and Nibble Digital.

• Engineering Education
• Simulation-Based Learning
• Systems Thinking
• +2 more

Tugba Karabiyik is a Lecturer at Purdue University's Edwardson School of Industrial Engineering. Her educational research focuses on enhancing engineering pedagogy through simulation-based learning, systems thinking development, and intercultural competence training. Research explores innovative teaching methodologies including project-based learning environments, optimization practice analysis, and hybrid instructional models. Recent work emphasizes climate literacy integration, cybersecurity education enhancement, and pandemic-era teaching adaptations. Publications demonstrate consistent focus on team dynamics in educational settings, design thinking pedagogy, and global competency development. Research employs diverse methodologies including agent-based modeling, process data analysis, and psychometric assessment to evaluate learning outcomes. Teaching activities include systems thinking courses incorporating intercultural modules and collaborative projects. Research collaborations span engineering education and cybersecurity domains.

• Banking
• Household Finance
• Corporate Finance
• +5 more

Professor Dennis Philip holds a PhD in Finance and serves as Professor in Finance at the Durham University Business School. He directs the Centre for Banking, Institutions and Development (CBID) research group and previously led the PhD Programme in Economics and Finance. His research focuses on banking, household finance, corporate finance, asset pricing, and big data methodologies, with funding from European Commission, central banks, and financial firms. Notable contributions include work on financial literacy in emerging markets and policy-led projects like the 'EPIC framework' funded by the 'Smart and Small' grant. Research highlights include studies on institutional ownership dynamics, psychological distress impacts on household wealth, and corporate lending under forward guidance policies. Awards include the 2023 Best Paper Award for 'When Prejudice Hits Home' and a 2019 Financial Literacy Research Award. He has advised students like Tao Chen and collaborates globally on projects like soil literacy in Africa (2020). Publications span top journals like Journal of Banking and Finance , Review of Finance , and Cambridge Journal of Economics . His work integrates textual analysis (e.g., 10-K filings) with quantitative methods to address market efficiency, investor behavior, and regulatory challenges. Professional activities include editorial roles, policy consultations, and leadership in international academic networks.

Ramy HarikView profile

Professor

• Smart Manufacturing
• Composites Manufacturing
• Robotics
• +3 more

Dr. Ramy Harik is Exxon Mobil Employees Endowed Professor and Director of the Clemson Composites Center at Clemson University's Department of Automotive Engineering. A Fulbright alumnus, he holds degrees in Mechanical Engineering, Automated Manufacturing, and Industrial/Mechanical Engineering. His research advances smart manufacturing, composites production, and industrial automation through AI integration. Harik's work bridges manufacturing theory and industrial applications, developing frameworks for real-time defect detection, blockchain-enabled systems, and VR-based factory visualization. His textbook Introduction to Advanced Manufacturing (SAE International) establishes foundational principles for modern production systems. He secured over $15M in funding from NASA, Boeing, and other industry partners. Notable recognitions: SC Governor's Award for Excellence in Scientific Awareness (2024) Top 20 influential professors in Smart Manufacturing (SME, 2020) Independent Press Award for Manufacturing vs Corruption: Who Wins? (2023) His research group focuses on cognitive manufacturing systems integrating digital twins, robotic assembly, and predictive maintenance. Educational outreach includes initiatives to develop elementary students' awareness of advanced manufacturing careers.