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Ly Fie SugiantoView profile

Associate Professor

• Accounting Information Systems
• Data Analytics
• Artificial Intelligence
• +8 more

Dr. Ly Fie Sugianto is an Associate Professor in the Department of Accounting at Monash Business School, Monash University. Her research focuses on the integration of data analytics, artificial intelligence, and machine learning in accounting and business systems, with applications in the energy sector and organizational behavior. Monash Business School, Monash University Department of Accounting Specialization: Accounting Information Systems, Data Analytics, AI Her research interests span Accounting Information Systems , Agent-Based Simulation , Decision Support Systems , and Technology Adoption . She applies computational methods to study competitive dynamics in deregulated electricity markets and the impact of digital tools on employee well-being and organizational resilience. The recent publications reflect a strong trend in using AI and simulation to analyze complex socio-technical systems, particularly in energy markets and leadership dynamics. Keywords across her work include agent-based modeling , data analytics , servant leadership , and enterprise social media , indicating interdisciplinary research at the intersection of information systems, management, and public policy. Her scientific awards include competitive grants from the ARC (SPIRT/Linkage) , the Australia Indonesia Governance Research Partnership (AIGRP) , and the Sumitomo Foundation . ARC Grant: Dispatch Optimisation in the Australian National Electricity Market Sumitomo Foundation: Technology Use and Employee Well-Being AIGRP: Governance and MSME Resilience during Pandemic Dr. Sugianto has advised research projects and collaborated with industry partners such as Western Power , Ecogen Energy , and AEMO . She is currently accepting PhD students and leads externally funded research initiatives. Her work contributes to UN Sustainable Development Goals related to industry innovation and responsible consumption. She is affiliated with research teams focusing on intelligent decision support systems and digital transformation in business , with active collaborations in Australia and Indonesia.

Claudia R. BinderView profile

Professor

• Urban Sustainability
• Transition Research
• Urban Metabolism
• +5 more

Claudia R. Binder is Full Professor at EPFL's School of Architecture, Civil and Environmental Engineering, leading the Laboratory for Human-Environment Relations in Urban Systems (HERUS) since 2016. Previously, she held professorships at the University of Munich (2011-2016), University of Graz (2009-2011), and University of Zurich (2006-2009). She served as Dean of EPFL's ENAC School from 2020-2023 and holds advisory roles with Swiss federal institutions including the Mercator Foundation since 2024. Her academic foundation includes a Biochemistry degree and PhD in Environmental Sciences from ETH Zurich, followed by postdoctoral research at the University of Maryland. This interdisciplinary background underpins her research approach spanning natural and social sciences. Professor Binder's work centers on urban sustainability transitions, examining urban metabolism dynamics through systems science frameworks. She investigates energy-food-transport interdependencies in cities using transdisciplinary methods that integrate material flow analysis, spatial modeling, and socio-technical assessments. Her research particularly emphasizes regulatory mechanisms and transformation drivers in human-environment systems, with case studies across Swiss and global urban contexts. Recent publications reveal evolving focus from foundational urban metabolism studies toward actionable transition strategies. Her 2024-2025 work increasingly addresses social tipping dynamics, circular decarbonization, and spatially explicit waste management, demonstrating methodological innovation through geo-referenced material flow analysis and participatory backcasting frameworks. Key thematic clusters include energy innovation diffusion, plastic waste governance, and demand-side flexibility in residential systems. She actively mentors 7 current PhD candidates while supervising 11 graduates since 2018, with research spanning urban metabolism modeling, sustainability assessment, and transition governance. Her leadership extends to Swiss National Science Foundation committees and National Research Program 71 on energy consumption management. At EPFL, she directs the HERUS laboratory which develops the Sustainability Solution Space methodology for urban assessment. The lab operates at the intersection of data science, environmental engineering, and social theory, maintaining strong field connections in Switzerland, Indonesia, and Germany for empirical validation of transition models.

• Human-Computer Interaction
• Gender Equality in Technology
• AI and Society
• +3 more

Elaine M. Huang is an Associate Professor of Human-Computer Interaction at the Department of Informatics, University of Zurich, where she has served since 2010. She also leads the People and Computing Lab, focusing on the dynamic interplay between human practices and technological advancements. Her academic background includes: PhD in Computer Science, Georgia Institute of Technology (2006) Dr. Huang's research centers on human-computer interaction, examining the bidirectional relationship between technology and human practices. She is particularly known for her work on gender equality in technology, challenging assumptions about innate gender differences and investigating how AI systems may perpetuate biases. Her research also spans sustainable interaction design, mental health technologies, and chronic disease management, always emphasizing empirical data over intuition. Analysis of her recent publications (2023-2025) reveals a strong trajectory toward socially impactful HCI, with significant focus on health technologies (diabetes management, mental health), cultural sensitivity in design, and the ethical challenges of AI. Her methodology often involves field studies to understand real-world technology use, countering the industry's reliance on intuition. As head of the People and Computing Lab, Dr. Huang oversees a research group dedicated to designing and evaluating technologies that address complex human needs. The lab's work frequently involves co-design with diverse user communities to ensure relevance and inclusivity in technological solutions.

Emilio FerraraView profile

Professor

• Artificial Intelligence
• Computational Social Science
• Network Analysis
• +5 more

Dr. Emilio Ferrara is a Professor of Computer Science & Communication at the University of Southern California, holding appointments in the Viterbi School of Engineering, Annenberg School for Communication and Journalism, and Keck School of Medicine. He serves as Associate Director of Applied Data Science at USC, Research Team Leader at the USC Information Sciences Institute, and Principal Investigator at the USC/ISI Machine Intelligence and Data Science (MINDS) group. His educational background includes a PhD in Machine Learning and BSc & MSc in Computer Science. Ferrara's research focuses on the intersection of artificial intelligence and computational social science, specifically using AI to model and predict human behavior in techno-social systems. His work spans social networks, machine learning, and network science with applications to understanding communication dynamics in digital environments. Ferrara has published over 150 articles in prestigious venues including Proceedings of the National Academy of Sciences, Communications of the ACM, and Physical Review Letters. His research has been widely featured in major news outlets and examines topics ranging from social media manipulation to AI ethics and online behavior. His scientific achievements have been recognized with numerous awards: 2019 Viterbi Scientific Award 2018 DARPA Director's Fellowship 2016 DARPA Young Faculty Award 2016 Complex Systems Society Junior Scientific Award 2015 IBM Watson Big Data Influencer Ferrara's research is supported by major funding agencies including DARPA, IARPA, Air Force, and Office of Naval Research. He leads the HUMANS LAB (Humans & Machines + Networks & Social Systems) which has trained numerous PhD students who have gone on to successful careers in academia and industry. His work on social bots, election integrity, and AI ethics continues to shape understanding of digital social dynamics.

Mazdak Nik-BakhtView profile

Associate Professor

• Construction Engineering & Management
• Infrastructure Management
• Smart Infrastructure
• +10 more

Mazdak Nik-Bakht is an Associate Professor at Concordia University's School of Building, Civil, and Environmental Engineering. His work bridges construction engineering with digital innovation, focusing on smart infrastructure and sustainable development. PhD, Construction Engineering & Mgmt., University of Toronto PhD, Structural Engineering, Iran University of Science & Technology MASc & BASc, Structural and Civil Engineering, Iran University of Science & Technology His research integrates Artificial Intelligence and Social Network Analysis into construction management systems. Key areas include: Smart infrastructure and urban computing Deconstruction and circular economy principles Building Information Modeling (BIM) and digital twinning Process mining in Architecture, Engineering, and Construction (AEC) industry Decision models in construction project management Semantic computing and computational linguistics applications Recent publications show a focus on BIM analytics , urban resilience , and social media's role in infrastructure planning . Papers often combine AI and network theory to solve complex construction challenges. 2015 Outstanding paper award - Built Environment Project and Asset Management journal He teaches courses on: Big Data Analytics for Smart City Infrastructure Building Information Modeling (BIM) for Construction Building Economics Project Cost Estimating

• Game Theory
• Control Systems
• Stochastic Processes
• +5 more

Tamer Başar is a Maybelle Leland Swanlund Endowed Chair Emeritus and Professor Emeritus of Electrical and Computer Engineering at the University of Illinois' College of Engineering. He leads research in game theory, control systems, and networked systems through the Coordinated Science Lab. His work focuses on stochastic processes, multi-agent systems, and optimization under uncertainty. Research interests include Nash equilibrium analysis, mean-field theory, and reinforcement learning applications in dynamic systems. Recent publications explore strategic incentives in large population games, nonstationary reinforcement learning, and coupled bi-virus models. Notable honors include the IEEE Control Systems Award (2014), American Academy of Arts and Sciences Membership (2023), and honorary doctorates from multiple institutions. His work bridges theoretical foundations with practical applications in socio-technical networks and edge computing systems. Basar's contributions span over 900 publications, focusing on distributed control algorithms, network security, and strategic information design. His research lab at Illinois addresses challenges in timely computation, resilient systems, and decentralized decision-making frameworks.

Ivan FlechaisView profile

Associate Professor

• Security Engineering
• Human-Computer Interaction
• Usable Security
• +3 more

Ivan Flechais is an Associate Professor in Software Engineering at the Department of Computer Science, University of Oxford. His work focuses on the intersection of security engineering and human factors, developing approaches that balance technical security requirements with usability considerations in real-world contexts. Dr. Flechais earned his BSc and PhD in Computer Science from University College London. He holds dual French-British nationality and was educated in France until university level. His academic journey reflects an international perspective that informs his research on security systems across different cultural contexts. Flechais's research centers on developing methods for creating secure systems that account for real-world usability constraints. His work addresses the complex challenge where security competes with other system requirements like functionality, usability, and efficiency. He is particularly known for developing the AEGIS design methodology, which provides a cost-effective approach to security design that incorporates usability considerations. His current research explores socio-organizational factors in secure systems design, with recent work focusing on smart home security and privacy, remote work security challenges, and the intersection of security culture with technical implementation. His publication record shows a strong trajectory in usable security research, with recent work (2020-2024) increasingly focused on smart home environments, privacy in domestic settings, and the security challenges of remote work. His research demonstrates consistent attention to the human element in security systems, examining how users interact with security mechanisms in real-world contexts across different cultural settings and technological domains. Smart home security and privacy challenges User experience of security mechanisms Socio-organizational aspects of security implementation Cross-cultural security and privacy considerations Security for distributed and remote work environments Dr. Flechais has supervised numerous PhD and Master's students, including Sarah Alromaih, Varad Vishwarupe, George Chalhoub, and Martin J. Kraemer, among others. His supervision work often focuses on the practical application of security principles in emerging technologies, with students frequently examining security challenges in smart homes, IoT devices, and remote work contexts. His research has been supported through various projects including webinos and Sponstaneous Security, which address security challenges in distributed mobile applications and ad-hoc network environments.

• Systems Engineering
• Computational Governance
• Resilience Design
• +12 more

Mo Mansouri is a Teaching Professor and Director of Graduate Studies at the Department of Systems and Enterprises, Charles V. Schaefer, Jr. School of Engineering and Science, Stevens Institute of Technology. He also serves as a Visiting Professor at the University of North-Eastern Norway, highlighting his international academic engagement. His leadership extends to directing Systems Engineering and Socio-technical Systems Programs, underscoring his central role in shaping academic and research initiatives in systems engineering. Education: PhD in Engineering Management, The George Washington University (2004) MS in Industrial Engineering, University of Tehran (1999) BS in Industrial Engineering, Sharif University of Technology (1997) Dr. Mansouri's research is centered on computational governance frameworks , resilience design , and behavioral modeling in complex socio-technical systems . His work applies systems thinking to urban systems, smart cities, infrastructure, and healthcare, with a strong emphasis on data-driven policy design and multi-stakeholder coordination. He investigates how real-time data, sensing, and analytics can inform governance in complex environments such as transportation, energy, and public health systems. His recent publications (2023–2024) reveal a strong trend toward AI and digital transformation in healthcare , electric and urban mobility systems , and pandemic and societal resilience . These works frequently employ systems thinking, systemigram modeling, and system of systems engineering methodologies, published in IEEE, INCOSE, and IARIA venues. The interdisciplinary nature of his research spans engineering, policy, and human behavior. Scientific Awards and Recognitions: While specific awards are not listed in the provided text, his leadership roles and extensive funding indicate high professional recognition. Advising and Grants: Dr. Mansouri has served as Principal Investigator (PI) or Co-PI on multiple high-value research grants totaling millions of dollars from DoD, Lockheed Martin, NED, and FAA. These projects focus on capability assessment, smart city dashboards, governance modeling, and social development. He mentors students through doctoral and master’s level courses and research, though specific advisee names are not provided. Labs and Research Teams: While specific lab names are not mentioned, his research is conducted within the Department of Systems and Enterprises at Stevens, involving collaborations with students and professionals in areas such as smart cities, healthcare systems, and infrastructure resilience. His work with international institutions and professional societies indicates active participation in global research networks.

Claudio J. TessoneView profile

Professor

• Blockchain Technology
• Cryptocurrency Systems
• Complex Socio-Economic Systems
• +5 more

Prof. Claudio J. Tessone is a Professor of Blockchain and Distributed Ledger Technologies at the Department of Informatics, University of Zurich. He serves as Head of the Blockchain and Distributed Ledger Technologies group, Chairman of the UZH Blockchain Center, and is incharge of the NetSci Society. His academic background includes a PhD in Physics (Complex Systems) and an Habilitation in Complex Socio-Economic Systems from ETH Zurich. Education: PhD in Physics (2006): Thesis on synchronization in stochastic systems, Universitat de les Illes Balears, Spain Habilitation (2015): Thesis on agent-based modeling of socio-economic systems, ETH Zurich Master in Physics (1999): Thesis on stochastic resonance, Instituto Balseiro, Argentina Research Interests: Prof. Tessone specializes in modeling complex socio-economic and socio-technical systems, with a focus on blockchain-based systems. His work explores crypto-economics, blockchain scalability, decentralized finance (DeFi), and the interplay between micro-level agent behavior and macro-level emergent properties. Notable areas include transaction network analysis in Bitcoin/Ethereum, consensus mechanisms (Proof-of-Stake/Work), and blockchain governance models. Publications Trends: Recent articles emphasize empirical blockchain analysis (e.g., Ethereum microvelocity, Bitcoin mesoscopic structure), DeFi arbitrage strategies, and privacy-preserving blockchain applications in healthcare. His work bridges theoretical agent-based models with real-world blockchain datasets, addressing both technical and socio-economic dimensions of distributed ledger technologies. Grants & Labs: Director of the UZH Summer School on Blockchain and Certificate of Advanced Studies program. Active in interdisciplinary collaborations through the URPP Social Networks (2015–2021) and ETH Zurich’s Systems Design group (2007–2014). Labs/Initiatives: Leads the UZH Blockchain Center, a hub for academic-industry research on blockchain applications in finance, governance, and digital transformation.

Oscar Tomico PlasenciaView profile

Associate Professor

• Posthuman Sustainability
• More-than-human Design
• Design Research Methodologies
• +2 more

Oscar Tomico Plasencia is an Associate Professor at the Department of Industrial Design at Eindhoven University of Technology (TU/e), specializing in Design Research Methodologies for Posthuman Sustainability. His research challenges anthropocentric design paradigms by positioning designers within complex ecological systems and exploring collaborations with non-human actors like plants. Education: MSc in Industrial Engineering and PhD cum laude from Polytechnic University of Catalonia (Spain). Prior Roles: Assistant Professor at TU/e (2007–2023), Head of Industrial Design Bachelor’s program at ELISAVA (Spain), Co-director of Design for Emerging Futures Master Program, and Co-editor-in-chief of Temes de Disseny Journal . His research focuses on decentering human agency in design through First-person methodologies for ecological engagement Design practices for multi-species cohabitation Regenerative socio-ecological-technical systems Critical fabulation with non-human stakeholders Temporal analysis of design events Recent publications analyze plant studios as dynamic constituencies (2025), backyard practices for urban sustainability (2025), and nature-entangled methodological repositories (2024). His work emphasizes transparency in experimental design processes and ecological accountability. Scientific Awards & Funding: NSERC Discovery Grant #RGPIN-2023-04600 SSHRC Insight Grant #435-2024-0783 Collaborative projects involve institutions across Spain, Japan, Sweden, and New Zealand. He leads the Making With… research group at TU/e and contributes to the EAISI (Eindhoven Artificial Intelligence Systems Institute).

Araz TaeihaghView profile

Assistant Professor

• Policy Design
• Technology Governance
• Socio-Technical Systems
• +5 more

Dr. Araz Taeihagh is an Assistant Professor at the Lee Kuan Yew School of Public Policy, National University of Singapore (NUS), where he also serves as Principal Investigator at the Centre for Trusted Internet and Community (CTIC) and NUS Cities. He previously chaired the PhD Programme in Public Policy (2020-2023). Taeihagh holds a DPhil from the University of Oxford and has over two decades of consulting experience in energy, environment, transportation, and technology domains. His research focuses on policy design and governance of emerging technologies , with expertise spanning autonomous systems, AI governance, sharing economies, and smart cities. Key research areas include: Decision support systems and complexity approaches to public policy Infrastructure and sustainable development (energy/environment/transport) Socio-technical systems and technology governance Recent publications demonstrate strong focus on AI governance frameworks , autonomous systems regulation , and smart city development , particularly examining policy innovation in Singapore and comparative Asian contexts. Research frequently addresses tensions between technological innovation and regulatory oversight. Major recognitions include: Ranked Top 2% Scientist worldwide for energy (2023) and citation impact (2020-2022) Best Paper Award from Transport Reviews (2020) Research Excellence Awards (2019-2022) Faculty Research Fellowships from LKYSPP and NUS Humanities & Social Sciences He serves on editorial boards of Technological Forecasting and Social Change , Policy and Society , and other leading journals, and co-chairs scientific committees for AI Singapore's governance initiatives.

• Conceptual Modeling
• Business Process Management
• Digital Transformation
• +5 more

Yves Wautelet serves as an Associate Professor at the Faculty of Economics and Business at KU Leuven, where he conducts research in conceptual modeling, business process management, and digital transformation. His work addresses critical challenges at the intersection of information systems engineering and business strategy, with particular focus on sustainability-driven modeling approaches and IT governance frameworks. His primary research interests include: Conceptual modeling methodologies and frameworks Business process management and information systems design Digital transformation strategies and implementation IT governance and business-IT alignment Sustainability-driven modeling for circular economy Agile software development practices and methods Requirements engineering with user stories Wautelet's recent publication record demonstrates significant scholarly productivity with numerous 2024-2025 publications spanning conceptual modeling frameworks for sustainability (Circulise), tools for identifying ambiguity in user stories (AmbiTRUS), and approaches to align strategic and operational agility. His work bridges theoretical foundations with practical applications across diverse domains including healthcare, circular economy, software development, and organizational transformation. His research consistently applies model-driven approaches to solve complex real-world problems, often integrating sustainability considerations into information systems engineering. As a promotor and co-promotor, Wautelet currently supervises multiple doctoral research projects including: Automatic generation of conceptual models from textual descriptions (2024-2028) Sustainability-Driven Modeling Assistant for Twin Transition in Vietnam (2024-2028) Home Care Business Process Management using Distributed Ledger Technologies (2024-2028) Teaching Modeling Skills in BPMN formalism (2021-2025) His research is conducted through the Information Systems Engineering Research Group (LIRIS) at KU Leuven's Brussels campus, where he contributes to advancing model-driven approaches for addressing contemporary business and technological challenges.

Carsten Jahn HansenView profile

Associate Professor

• Sustainable Urban Planning
• Spatial Development
• Climate Change Adaptation
• +3 more

Carsten Jahn Hansen is an Associate Professor in sustainable place development and planning at Aalborg University's Department of Sustainability and Planning, part of The Technical Faculty of IT and Design. His research focuses on innovations in planning for sustainable place-making, addressing climate change, socio-economic balance, and environmental sustainability. He leads the Planning for Urban Sustainability (PLUS) research group and participates in projects like the PLANNORD research network and EU-funded initiatives such as PlanCoast . Hansen holds a PhD in Spatial Planning and a Master's in Surveying, Planning, and Land Management from Aalborg University. Key affiliations include roles with the Danish Town Planning Institute (Dansk Byplanlaboratorium), ESPON (European Spatial Planning Observatory Network), and OECD/EU policy advisory work. His expertise spans coastal governance, participatory planning, and the integration of cultural heritage into spatial development. He has contributed to over 111 publications, including works on non-mandatory planning frameworks and climate adaptation strategies. Hansen has advised on regional and municipal planning policies, emphasizing trust-based governance and community engagement. His research explores the interplay between strategic planning and grassroots participation, with a focus on urban and rural resilience. Notable contributions include analyses of Denmark's development planning systems and the role of soft planning instruments in addressing complex spatial challenges.

• Hydrogeology
• Karst Aquifers
• Groundwater Flow Modeling
• +3 more

Dr. HAJNAL Géza is an Associate Professor at the Budapest University of Technology and Economics (BME), Faculty of Civil Engineering, where he serves in the Department of Hydraulic and Water Resources Engineering. His office is located in Room K. ép / mf. 12/7, and he can be contacted via email at hajnal.geza@emk.bme.hu or phone at +36 1 463 2362. His teaching portfolio includes active courses such as Hydraulic Engineering, Water Management (BMEEOVVAT43) and Hydrometric Field Course (BMEEOVVAI44). Previously, he taught Hidrogeology (BMEEOGMMET3) and Hydrogeology of Subsurface Water (BMEEOGMDT81). HAJNAL's research specializes in hydrogeology , with emphases on karst aquifer dynamics, groundwater flow modeling, climate impacts on hydrology, and hydraulic engineering. His work integrates field measurements (e.g., drip-water monitoring in Buda Castle Cave) with advanced numerical modeling to address complex hydrological challenges in Hungarian watersheds. Analysis of his 15 most recent publications (2013–2025) reveals dominant themes: 73% focus on karst/fractured aquifers , 20% on hydrological modeling techniques , and 7% on socio-environmental conflicts. Recurrent technical subfields include seepage flow validation, transmissivity determination, and rainfall-runoff sensitivity. No scientific awards, grants, student advisees, or lab affiliations are documented in the provided materials.

Ellen ZeguraView profile

Professor

• Computer Networking
• Computing for Development
• Social Responsibility in STEM Education
• +6 more

Ellen Zegura is the Stephen Fleming Chair and Professor in the School of Computer Science at Georgia Tech's College of Computing. She holds multiple degrees from Washington University in St. Louis: BS in Computer Science, BS in Electrical Engineering, MS in Computer Science, and DSc in Computer Science. Her research focuses on computer networking, social responsibility in STEM education, and computing for development. She co-founded the Computing for Good initiative, emphasizing project-based learning to address societal challenges. Zegura is an IEEE and ACM Fellow, and serves on the Computing Research Association (CRA) Executive Board. Her education spans interdisciplinary fields at Washington University, combining computer science and electrical engineering. She has held leadership roles at NSF and CRA, advocating for equitable technology policies. Notable contributions include advancing QoE metrics for video conferencing, analyzing mobile broadband infrastructure disparities, and developing ethics education frameworks for computing curricula. Research interests include network measurement, community-empowered data practices, and bridging technical innovation with social impact. Recent work examines tribal mobility during pandemics, sensor co-design with Indigenous communities, and ethical pedagogy for teaching assistants. Her labs and collaborations, such as CERCS, emphasize interdisciplinary problem-solving. Zegura’s awards reflect her dual impact in technical innovation and societal engagement.