جست‌وجوی استاد و پژوهشگر

Caterina Moruzziمشاهده پروفایل

استادیار

• Human-AI Co-Creativity
• Philosophy of AI
• Philosophy of Art
• +۳ مورد دیگر

Caterina Moruzzi is a Chancellor's Fellow in Design Informatics at the University of Edinburgh's School of Design and a BRAID Research Fellow. Since 2024, she has led the research cluster 'Creativity, AI, and the Human' at the Edinburgh Futures Institute, examining the intersection of philosophy, art, and artificial intelligence to advance responsible human-AI co-creativity. Her educational background includes: PhD in Philosophy, University of Nottingham (2018) Artist Diploma in Piano Performance, Conservatorio G.B. Martini, Bologna (2014) Moruzzi's research investigates shared agency between humans and AI systems, disruptive impacts of technology on creative labor, and ethical frameworks for AI integration in artistic practices. She analyzes how emerging technologies transform creative workflows while developing methodologies to ensure AI tools uplift rather than undermine creative professionals, with particular focus on embodiment and aesthetic value in human-machine co-creation. Her 2025 publications reveal converging trends in AI creativity research: critical examination of provenance data ethics, philosophical foundations of imagination-creativity relationships, and systemic analysis of AI's role in creative domains. These works collectively address authenticity challenges in AI-generated content, value systems for creatives, and human-centric design principles. Her scientific recognition includes: Best Paper Award at C&C 2025 for 'Content Authenticities' Moruzzi directs significant research initiatives including the AHRC-DFG-funded 'Embodied Agents in Contemporary Visual Art' project with Goldsmiths College, and leads collaborations with the Oxford Internet Institute and Adobe Research investigating public attitudes toward algorithmic content creation. These projects examine societal implications of AI through interdisciplinary lenses, securing sustained funding for ethical AI development. She co-founded the 'Creativity, AI, and the Human' research cluster at Edinburgh Futures Institute and organized the 2022 International Conference of Computational Creativity workshop 'The Role of Embodiment in Human & Artificial Creativity'. Her BRAID fellowship facilitates cross-institutional collaboration between Edinburgh College of Art and the School of Informatics, driving experimental work in embodied AI-art interfaces.

Effie Kesidouمشاهده پروفایل

استاد

• Economics of Innovation
• Sustainability
• Eco-Innovation
• +۶ مورد دیگر

Effie Kesidou is Professor and Chair in Economics of Innovation & Sustainability at Leeds University Business School, University of Leeds, concurrently serving as Head of the Graduate School in the Faculty of Business. She holds additional appointments as Senior Research Associate at Warwick Business School's Enterprise Research Centre and CORD Fellow at Arizona State University's Center for Organization Research & Design. Her academic credentials comprise: PhD in Economics from Eindhoven University of Technology, Netherlands MSc in Development Economics from University of East Anglia, UK BSc in Economics from University of Macedonia, Greece Professor Kesidou's research employs rigorous economic methodologies to investigate sustainability transitions through innovation. She examines institutional frameworks, market demands, and organizational capabilities driving eco-innovation, with particular focus on how international standards like ISO14001 affect corporate financial and ESG performance. Her work integrates economic geography perspectives to analyze how city-regional ecosystems foster green innovation and productivity growth, bridging theoretical economics with practical sustainability challenges across diverse industrial contexts. Analysis of her 2023-2025 publications reveals intensifying research on digitalization's dual role in climate mitigation and innovation. She systematically investigates how digital technologies enable sustainability strategies in SMEs, examines trade-offs between digital transformation and net-zero goals, and explores sector-specific applications in textiles, electric vehicles, and circular economy systems. Her empirical approach consistently leverages firm-level data across global contexts, demonstrating methodological rigor in connecting micro-level business practices with macro-level sustainability transitions. Her scholarly recognition includes: Best Paper Award in SMEs, Growth, and Performance (Institute for Small Business and Entrepreneurship, UK, 2022) Best Paper Award in Innovation (British Academy of Management, UK, 2013) Professor Kesidou actively supervises eight PhD candidates while mentoring completed dissertations on innovation strategy and economic development. Her research program secures substantial funding from NERC (£113,153), ESRC (£43,461), and EU H2020 (£420,685), demonstrating sustained competitiveness in major grant competitions. Current projects address circular fashion systems, productivity in twin transitions, and JUST2CE circular economy implementation across European regions. She contributes to Leeds University's Applied Institute for Research in Economics and Centre for Technology Innovation and Engagement, fostering cross-disciplinary collaborations on sustainable economic development and innovation policy.

Fazleena Badurdeenمشاهده پروفایل

استاد

• Sustainable Manufacturing
• Lean Manufacturing
• Manufacturing Systems Modeling
• +۲ مورد دیگر

Fazleena Badurdeen is a Professor of Mechanical Engineering and Director of Graduate Studies for the Manufacturing Systems Engineering Program at the University of Kentucky , where she leads research in sustainable manufacturing and supply chain systems. She holds a Ph.D. and M.S. in Industrial Engineering from Ohio University, an M.B.A. from the Post Graduate Institute of Management, and a B.Sc. in Engineering from the University of Peradeniya. Research Interests: sustainable manufacturing, lean systems, supply chain modeling, and sustainable product design. Awards: Earl Parker Robinson Chair Professor in Mechanical Engineering. Notable Contributions: development of frameworks for product sustainability, circular economy integration, and risk assessment tools using Bayesian networks and simulation. Her recent Google Scholar publications focus on additive manufacturing , digital product passports , and real-time defect detection , with keywords spanning sustainable manufacturing, systems engineering, and environmental metrics. She has also contributed to education through curriculum development in systems thinking and graduate program leadership.

• Building Automation
• Energy Management
• Query Optimization
• +۷ مورد دیگر

Paulo Carreira is an Associate Professor at Instituto Superior Técnico , Universidade de Lisboa. His research focuses on Building Automation , Energy Management , and Data Integration , with a particular emphasis on Smart Urban Environments and Cyber-Physical Systems . Fields: Building Automation, Energy Management, Data Privacy, Query Optimization, ETL, Streaming Query Processing Research Trends : His recent work spans from SQL Injection Attacks in LLM-integrated systems to Multi-Paradigm Modeling for Cyber-Physical Systems. Publications highlight his expertise in Energy Efficiency in buildings and BIM Integration with real-time data. Scientific Awards : Best Student Paper Award Nomination for Best Paper Award

José María Alonso Moralمشاهده پروفایل

دانشیار

• Explainable Artificial Intelligence
• Trustworthy AI
• Machine Learning
• +۳ مورد دیگر

Dr. José María Alonso Moral is an Associate Professor at the Department of Electronics and Computation of CiTIUS-USC (Research Center for Intelligent Technologies) at the University of Santiago de Compostela. With a PhD in Telecommunication Engineering from Universidad Politécnica de Madrid (2007) and a 'Doctor Europeus' distinction, he has held prestigious positions including Ramón y Cajal researcher (2018-2022), Juan de la Cierva postdoctoral researcher (2012), and served as President of the European Society for Fuzzy Logic and Technology (EUSFLAT) and Vice-Chair of IEEE Computational Intelligence Society's Explainable Fuzzy Systems Task Force. IEEE Senior Member Associate Editor: IEEE Computational Intelligence Magazine (Q1) and International Journal of Approximate Reasoning (Q2) Board Member: ACL SIGGEN (2019-2022) His research focuses on Explainable AI and Trustworthy Artificial Intelligence , particularly through interpretable fuzzy systems and natural language generation. Key contributions include the ExpliClas web service for decision tree explanations and JFML library for IEEE 1855-2016 fuzzy system modeling. Recent publications examine counterfactual explanations, fuzzy temporal constraint networks, and feature attribution faithfulness metrics. He leads projects like TRUST (Trustworthy AI) and ReproHum (NLP Evaluation Reproducibility), emphasizing human-centered AI design and cross-disciplinary applications in healthcare and education. As an educator, he developed high school workshops on explainable AI fundamentals through CiTIUS-USC's STEM outreach program. His technical work includes developing explainable classifiers for Alzheimer's disease progression and implementing fuzzy logic systems in embedded platforms like Arduino and Raspberry Pi.

Jan von der Assenمشاهده پروفایل

پژوهشگر

• Holistic Cybersecurity
• Threat and Asset Management
• Security Economics
• +۶ مورد دیگر

Jan von der Assen is a doctoral student at the Communication Systems Group (CSG) within the Department of Informatics at the University of Zurich . His research focuses on Holistic Cybersecurity , spanning Threat and Asset Management , Security Economics , and AI-powered Malware Mitigation . Education : MSc in Software Systems from University of Zurich (2021) Research Affiliations : Involved in 12+ national/EU projects (2021–2025) including CheeseChain , CONCORDIA , and DSI Cybersecurity . His work emphasizes Moving Target Defense (MTD) for IoT security, Decentralized Federated Learning with blockchain-based reputation systems, and Ransomware Detection using hypervisor-level system call monitoring. Recent publications include: GuardFS (JISA 2025) for Linux ransomware mitigation HyperDtct (IEEE CSR 2025) on hypervisor-based detection ThreatFinderAI (CNSM 2024) for LLM threat modeling

• Relationship Marketing
• Technology Marketing
• Social Entrepreneurship
• +۵ مورد دیگر

Dr. Umme Hani is a Lecturer in Marketing at the School of Law & Business , University of Notre Dame, Australia. With a PhD from the University of Wollongong and a Master's from the Sydney Graduate School of Management, she focuses on relationship marketing, technology marketing, social entrepreneurship, and climate action initiatives. PhD in Marketing, University of Wollongong, Australia Master of Business , University of Western Sydney, Australia Her research addresses critical global challenges through the lens of marketing and technology, particularly targeting SDG 1 (Poverty Alleviation) , SDG 5 (Gender Equality) , SDG 9 (Industrial Innovation) , and SDG 13 (Climate Action) . She explores data-driven solutions for subsistence marketplaces, AI applications in sustainability, and ethical innovations in microfinance and healthcare platforms. Her recent publications analyze AI's role in climate action, relationship quality in impoverished markets, and digital transformation in healthcare and financial services. These works align with ABDC A* and A ranked journals , focusing on topics like subsistence marketplaces, ethical marketing, and sustainable development. Scientific Awards : Australian Government Research Training Program (AGRTP) scholarship (2018) Best Paper Award, Journal of Business Research (2022) Highly Commended PhD Research Award, University of Wollongong (2023) She has served as a reviewer for leading journals and contributed to conferences, emphasizing practical applications of marketing analytics in addressing social and environmental challenges.

Tsichlas Kostasمشاهده پروفایل

دانشیار

• Algorithms and Data Structures for Main and Secondary Memory
• Algorithms and Data Structures in Distributed Environments
• Computational Geometry
• +۵ مورد دیگر

Tsichlas Kostas serves as an Associate Professor in the Department of Computer Engineering and Informatics at the University of Patras, Greece, within the Division of Applications and Foundations of Computer Science. His research spans fundamental and applied computing domains with active involvement in the ML@Cloud laboratory. His expertise centers on algorithmic innovation across multiple dimensions: Memory-optimized algorithms for primary/secondary storage systems Distributed environment data structures and computational geometry Physics-informed computing and complex network analysis Specialized domains including alphanumeric and graph algorithms Recent publication trends (2022-2025) demonstrate concentrated research in historical graph management systems, temporal network analysis, and physics-computing intersections. Key contributions include vertex-centric partitioning strategies, temporal community detection frameworks, and machine learning applications for energy data motif discovery. He maintains active laboratory affiliations with the LARGE-SCALE CLOUD DATA MACHINE LEARNING WORKSHOP (ML@Cloud lab), Combinatorial Algorithms Laboratory, and Distributed Systems and Telematics Laboratory, contributing to Greece's computational research infrastructure.

• Computer Networks
• Network Security
• Internet of Things
• +۳ مورد دیگر

Utz Roedig is a Full Professor of Computer Science at University College Cork (UCC), Ireland, and a Principal Investigator at the CONNECT Centre. Previously, he served as Professor at Lancaster University, UK, leading the Academic Centre of Excellence in Cyber Security Research (ACE-CSR), and held research positions at UCC and Darmstadt University of Technology, Germany. Education: Dipl.-Ing in Engineering from Darmstadt University of Technology Dr.-Ing (Doctor of Engineering) from Darmstadt University of Technology His research spans computer networks and network security , with over 150 publications in IoT security, industrial control systems, 5G networks, and voice assistant vulnerabilities. Recent work integrates machine learning for intrusion detection and fault prediction while addressing human factors in secure coding. Industry collaborations have yielded multiple patents. Analysis of 2023-2025 publications reveals dominant themes in industrial IoT security (e.g., resilient time-sensitive networking), 5G infrastructure protection, and voice assistant threats (wake word jamming/spoofing). His team develops countermeasures using protocol design and ML-driven anomaly detection, with growing emphasis on human-centric security challenges. Scientific Awards: No specific awards are documented, though research impact is evidenced by patents and sustained funding from major international bodies. Advising and Grants: Secured funding from EU, EPSRC, and industry partners. Serves as grant reviewer for EPSRC (UK), ESF (EU), and FWO (Belgium), and on TPCs for DCOSS, EWSN, and IPSN conferences. Student supervision details are unavailable, but research leadership implies active mentoring. Grants: EU, EPSRC, Industry Review Roles: EPSRC, ESF, FWO Labs and Teams: Leads research at UCC's CONNECT Centre (telecommunications security). Previously directed Lancaster University's ACE-CSR, a UK government-designated cybersecurity research hub.

Christoph Rosenkranzمشاهده پروفایل

استاد

• Information Systems Development
• Open Source Software Development
• Project and Program Management
• +۵ مورد دیگر

Christoph Rosenkranz is a Professor of Information Systems at the Faculty of Management, Economics and Social Sciences , University of Cologne. He serves as Academic Director of the Bachelor's program in Business Informatics and Deputy Managing Director of the Cologne Institute for Information Systems . His research focuses on agile software development , digital transformation , and socio-technical systems , with applications in healthcare and business process management. Academic Director, Bachelor's program 'Wirtschaftsinformatik' (2021–present) Founding Director, Master's program 'Business Analytics and Econometrics' (2019–2021) Visiting Researcher at Towson University and Rochester Institute of Technology (2018) His work bridges information systems , project management , and digital innovation , with empirical studies on: Agile practices in software development Time pressure and software quality Communication theory in IS design Electronic healthcare systems Service network effects Recent publications analyze digital market offerings , ethics in machine learning , and psychological safety in teams . He contributes to the ECONtribute: Markets & Public Policy cluster, researching digital transformation's societal impact. Collaborative projects include: HPDnet (DFG-funded child healthcare networks) C-SEB (Social and Economic Behavior research)

Tuhin Chakrabartyمشاهده پروفایل

استادیار

• Natural Language Processing
• Human-Computer Interaction
• Creativity
• +۶ مورد دیگر

Tuhin Chakrabarty is an Assistant Professor in the Department of Computer Science at Stony Brook University. His research focuses on developing AI systems that address implicature, ambiguity, and human-aligned requirements, with applications in natural language processing and human-AI collaboration. Education: Ph.D. in Computer Science from Columbia University Research Interests: Tuhin explores methods to enhance AI reliability through Long Form Text Generation Evaluation, Benchmarks for Reasoning and Explainability, and Human-AI Collaboration frameworks. His work bridges computational linguistics, machine learning, and creative applications of AI. Scientific Awards: Columbia Center of Artificial Intelligence & Technology (CAIT) Research Support Amazon Science Ph.D. Fellowship Computational Journalism Fellow at NYTimes R&D (2021-2022) Publications Trends: His recent work spans AI safety, creativity support, figurative language understanding, and multimodal systems. Key themes include human-AI alignment, ethical considerations, and empirical studies on generative models. Additional Contributions: Tuhin collaborates with Stony Brook’s Institute for AI-Driven Discovery and Innovation, advancing interdisciplinary research in AI applications.

• Biomedical Engineering
• Medical Imaging
• Automation
• +۵ مورد دیگر

Dr. Jaime Francisco Cruz Fonseca is an Associate Professor with Habilitation at the Department of Industrial Electronics , School of Engineering, University of Minho. As a Senior Researcher at the Algoritmi research center, he leads the Industrial Electronics R&D Group and CAR Lab . He also serves as CEO of the spin-off company iSurgical3D . PhD-level research in Biomedical Engineering, Robotics, and Medical Imaging Coordinator of Industrial Electronics research line at Algoritmi Scientific committee member for Industrial Engineering PhD program His research focuses on: Automation and Robotics in Medical Applications Biomedical Imaging and Analysis AI-driven Medical Device Development Digital Twin Systems for Industrial Testing Recent publications demonstrate expertise in 3D Medical Image Segmentation , Surgical Action Recognition , and Autonomous Pose Estimation . He has co-authored 140+ ISI/Scopus-indexed publications with over 3800 Google Scholar citations (h-index: 32). Scientific awards include: 2009 – SpinUM award for '3DPectus System' innovation 2009 – START National Entrepreneurship Award for iSurgical3D Active in both medical device patents (5 total) and industrial automation research , he bridges academia and commercial innovation.

• Sociology of Education
• Higher Education
• Educational Policy
• +۵ مورد دیگر

Junko Hamanaka is a Professor at the Faculty of Education and Integrated Arts and Sciences at Waseda University (2019–present), following positions at The University of Tokyo (2017–2019) and the National Center for University Entrance Examinations (2006–2016). Her research focuses on the sociology of education , particularly higher education systems , educational policy , and gender disparities in learning . Key Research Areas Higher education curriculum management Educational effectiveness and expenditure University-enrollment transitions Gender dynamics in academic performance Research Trends : Her 15 most recent publications (2008–2025) examine topics like gender time gaps in academia , curriculum reforms , and cross-national comparisons of educational systems , with methodologies spanning qualitative interviews and quantitative panel surveys . Notable projects include analyzing lifelong learning for working women and ICT's impact on educational practices . Awards : 37th Labor Relations Outstanding Book Award (2014) 4th Japan Society for Educational Sociology Encouragement Award (2011) She leads major research grants like the JSPS Grant for 'Characteristics of East Asian Higher Education Systems' (2023–2026) and 'University Learning Behaviors' (2024–2028), and has published extensively on educational policy , student learning structures , and graduate labor market evaluations .

• Automotive Engineering
• Motion Planning and Control
• Connected and Automated Vehicles
• +۶ مورد دیگر

Abdel Ra'ouf Mayyas is an Associate Professor at The Polytechnic School of Arizona State University (ASU), specializing in Automotive Engineering. He is affiliated with the Human Systems Engineering (HSE) PhD program as a graduate faculty member and served as the lead faculty advisor for the ASU-Advanced Vehicle Technology Competitions (EcoCAR 3) from 2014-2018. Education: Ph.D. in Automotive Engineering (2010), Clemson University M.S. in Computer Engineering (Embedded Systems) (2006), Yarmouk University B.S. in Mechanical Engineering (Automotive) (1996), Mu’ta University His research focuses on autonomous driving, advanced driver assistance systems (ADAS), model predictive control (MPC) for energy management in urban autonomous fleets, V2V/V2I applications for smart cities, human-centric vehicle safety systems, and thermal modeling of connected powertrains. He has contributed to vehicle hardware-in-the-loop (VHiL) testing and energy optimization of automated vehicles. Mayyas has led funded projects by the U.S. Army Automotive Research Center, Toyota Motor Corp, and Salt River Project (SRP) for battery performance evaluation in hot climates. His work appears in journals like Energy Research , Applied Energy , and Journal of Power Sources . Labs: Autonomous Collaborative Research Laboratory Connected Powertrains Laboratory Vehicle Hardware In-the-Loop (VHiL) Laboratory Advanced Vehicle Technology Competitions (AVTCs) Laboratory

• Knowledge Engineering
• Ontology-based Systems
• Human-Centric Systems
• +۶ مورد دیگر

Dr Flavio Pileggi is a Senior Lecturer in Computer Science at the University of Technology Sydney (UTS), Australia, since July 2023. Previously, he served as Lecturer in Computer Science (2021–2023) and Information Systems (2017–2021) at the same institution. Education: Ph.D. in Computer Networks (Cum Laude), Universitat Politècnica de València, Spain (2011) M.Sc. in Computer Engineering, Università della Calabria, Italy (2005) As a specialist in Knowledge Engineering and Ontology-based Systems, his research focuses on human-centric socially sustainable solutions, particularly socio-technical systems, sustainable development, and climate change. His work bridges technical innovation with socio-economic and environmental value creation. Recent publications explore uncertainty in clustering algorithms, AI ethics, digital twins with ontologies, and socio-technical impacts of AI in education. His 15 most recent articles (2021–2025) span topics like self-reported data risks, smart technology adoption in rural regions, and pandemic resilience metrics. Scientific Awards: Best Paper Award at ICWMC 2006 Teaching Awards from AEMG Education (2022, 2024) He actively supervises PhD/Masters students and participates in 10+ funded collaborative research projects, including grants from UTS MCR Research Capabilities Development Initiative (2025) and CSIRO Next Generation Graduates Program (2024–2027). Currently, he serves on the editorial board of Sustainability (MDPI).