جستجوی استاد راهنمای دانشگاهی

Fabio Maria Montagninoمشاهده پروفایل

پژوهشگر ارشد

• Renewable Energy
• Sustainability
• Innovation Management
• +۳ مورد دیگر

Fabio Maria Montagnino is a Senior Research Fellow at The Cyprus Institute (CyI), specializing in renewable energy, sustainability, and innovation management. With a physics background from the University of Palermo and a fellowship in experimental biophysics from the Italian National Research Council, he transitioned to industrial R&D and internationalization roles. He founded and led Consorzio ARCA, an innovation hub promoting knowledge-based startups and EU collaboration, serving as a regional node for EEN and EIT Health networks. His work focuses on integrating creativity, entrepreneurship, and innovation for sustainable development, with over 30 EU-funded projects led or coordinated. He is a frequent speaker on innovation and sustainability, holds three patents, and advocates for holistic approaches to energy and environmental challenges. Research interests include renewable energy technologies (solar power, energy storage), circular economy models, smart communities, and policy frameworks for sustainable transitions. He emphasizes open innovation ecosystems, particularly in Mediterranean regions, and has contributed to infrastructures like Living Labs and incubators. His expertise spans technology scouting, knowledge transfer, and fostering international partnerships.

• Data Privacy
• Mobile Applications
• Web Analytics
• +۴ مورد دیگر

George Prezerakos is a Professor at the Department of Electrical and Computer Engineering, National Technical University of Athens. His work focuses on data privacy, mobile applications, web analytics, and network engineering. He holds the email prezerak@uniwa.gr . Research interests include analyzing the societal impact of digital technologies, predicting human behavior through web data, evaluating market competition policies in telecommunications, and addressing the digital divide exacerbated by economic crises. He has published extensively on topics ranging from secure distributed systems to context-aware service engineering. His research demonstrates a unique blend of technical innovation and socio-economic analysis. For example, his work on predicting election outcomes via Google Trends data bridges computational methods with political science, while studies on mobile app privacy critique modern digital economy practices. He also investigates infrastructure challenges in deploying next-generation networks in complex geographic regions like Greece. Advising and grants: No specific advising or grant details are provided in the text. His contributions are primarily through academic publications and conference presentations. Labs/Teams: Affiliated with the Department's research groups focusing on telecommunications, cybersecurity, and context-aware systems, though specific lab names are not mentioned.

Albert-László Barabásiمشاهده پروفایل

استاد مهمان

• Network Science
• Complex Systems
• Statistical Physics
• +۶ مورد دیگر

Albert-László Barabási holds the rank of Visiting Professor at Central European University (CEU). He is also the Robert Gray Dodge Professor of Network Science and Distinguished University Professor at Northeastern University, where he directs the Center for Complex Network Research. His affiliated departments include Physics and the College of Computer and Information Science at Northeastern, alongside appointments at Harvard Medical School, Brigham and Women’s Hospital, and the Dana Farber Cancer Institute. Barabási’s education includes a B.Sc. from the University of Bucharest (1986–1989), M.Sc. in Physics from Eötvös Loránd University (1991), and Ph.D. in Physics from Boston University (1994). His research focuses on network science, complex systems, and their applications across biological, technological, and social domains. He pioneered the discovery of scale-free networks and the Barabási-Albert model, revolutionizing understanding of real-world network structures. His awards include the John von Neumann Medal, FEBS Systems Biology Prize, and Lagrange Prize in Complex Systems. Barabási leads the Barabási Lab, emphasizing both scientific rigor and innovative visualization. Current projects include the DYNASNET initiative to harness network science for societal benefit. He has authored influential books like Linked and Bursts , and co-edited foundational texts in network science.

Carel F.W. Peetersمشاهده پروفایل

دانشیار

• Statistics
• Bayesian theory
• Biostatistics
• +۶ مورد دیگر

Carel F.W. Peeters is an Associate Professor of Statistics at the Department of Mathematical & Statistical Methods (Biometris) , Wageningen University & Research . He previously held academic positions at Amsterdam University Medical Centers (AUMC) as Assistant Professor in Biostatistics , and during his PhD studies, he was a research fellow at VUA and research scientist at CITO . Education: M.Sc. in Statistics (with great distinction) from Katholieke Universiteit Leuven (KUL) Ph.D. in Bayesian Statistics from Utrecht University Research Focus: His work operates at the intersection of high-dimensional multivariate statistics , statistical machine learning , and complex data analysis . He develops computational methods for small-sample massive-features data to automate discovery of data-generating mechanisms, with applications in genomics , medical imaging , and social network analysis . Recent Trends: His publications demonstrate expertise in genomic prediction models , graphical modeling , high-dimensional regularization , and cross-domain data integration . Methodological innovations include rags2ridges package development and targeted penalization techniques. Technical Expertise: Bayesian theory Multivariate analysis Machine learning High-dimensional data Network analysis Statistical software development (R packages) Data science Graphical models Current Position: He serves as contact person for Biometris subdivision at Wageningen University, with physical location at Droevendaalsesteeg 1, 6708PB Wageningen, Netherlands. His work continues to bridge theoretical and applied statistics through practical implementation of advanced methodologies.

Hilde Tobiمشاهده پروفایل

دانشیار

• Interdisciplinary Research Methodology
• Research Ethics
• Statistical Analysis
• +۵ مورد دیگر

Dr. Hilde Tobi is an Associate Professor at Wageningen University & Research, affiliated with the Biometris research institute under the Mathematical and Statistical Methods department. Her work focuses on interdisciplinary research methodology, particularly in complex measurement challenges for vulnerable populations such as children and individuals with intellectual disabilities. She specializes in developing rigorous frameworks for cross-disciplinary collaboration, including the Methodology for Interdisciplinary Research (MIR) framework which addresses ethical, technical, and practical dimensions of collaborative research. Her expertise spans epidemiology, psychometrics, and qualitative methods, with notable contributions to health information systems design for marginalized groups. Current projects include resilience metric development for socio-ecological systems and participatory approaches to healthcare equity. She teaches advanced research methodology courses (YRM50306/3) and actively advises on projects like embedding resilience in social-ecological systems through hybrid modeling approaches. Key research areas: Interdisciplinary methodologies, measurement validity, healthcare disparities, sustainability metrics Recent focus: Citizen perspectives on chemical use, health data interoperability, and Delphi method innovations Professional roles: Academic leadership in quantitative methods, cross-cultural study design, and inclusive research practices Her work bridges natural and social sciences through innovative data integration approaches, emphasizing ethical rigor and practical applicability in multidisciplinary contexts.

Christopher Gaffneyمشاهده پروفایل

دانشیار بالینی

• Decision Making
• Optimization
• Public Policy
• +۳ مورد دیگر

Dr. Christopher Gaffney is an Associate Clinical Professor in the Decision Sciences and MIS department at Drexel University’s LeBow College of Business. His research focuses on decision making, optimization, and public policy applications, with notable contributions to insurance modeling and risk analysis. He holds a PhD in Operations Research from Rutgers University, alongside advanced degrees in mathematics (MS, University of Nevada) and philosophy (MA, University of Wyoming). His undergraduate background includes mathematics and philosophy from the University of Wisconsin–Green Bay. Dr. Gaffney’s industry experience spans mortgage banking and semiconductor market research, where he applied quantitative analysis. Beyond academia, he provides consulting and expert witness services. He is the founder of the Sports Analytics Research Institute, dedicated to advancing research, education, and certification in sports analytics. His work bridges theoretical frameworks with real-world challenges, particularly in decision support systems and uncertainty management. His publications span leading journals such as the IEEE Systems Journal and Annals of Operations Research, addressing topics like insurance policy optimization, socio-technical systems analysis, and combinatorial methods in boolean function learning. His research trends reflect a focus on applying analytical rigor to risk assessment, public policy, and complex systems. Dr. Gaffney teaches courses in operations research and statistics at LeBow. His professional contributions include technical reports on enterprise systems analysis and collaborations with institutions like Stevens Institute of Technology. The Sports Analytics Research Institute underscores his commitment to interdisciplinary innovation and practical applications of analytics.

Hiroki Sayamaمشاهده پروفایل

استاد

• Complex Systems Science
• Network Science
• Computational Social Science
• +۷ مورد دیگر

Hiroki Sayama is a SUNY Distinguished Professor and Executive Assistant Dean for Graduate Studies at Binghamton University’s Thomas J. Watson College of Engineering and Applied Science, where he leads the School of Systems Science and Industrial Engineering. He also directs the Center for Collective Dynamics of Complex Systems (CoCo). His research focuses on complex systems science, network science, computational social science, and mathematical modeling, with applications in artificial life/chemistry, healthcare informatics, and socio-technical systems. Dr. Sayama holds a BS, MS, and DSc from the University of Tokyo. His work bridges theoretical frameworks and real-world applications, including agent-based modeling of pandemic response, analysis of social network dynamics, and open-ended evolutionary systems. Recent research highlights include investigations into opinion dynamics, adaptive networks, and the interplay between military/healthcare expenditures and GDP growth. His awards include the SUNY Distinguished Professor title, reflecting his contributions to interdisciplinary systems science. Sayama’s research is supported by collaborative projects with industry and government, and he actively engages in science education initiatives like NetSci High to promote network science literacy among students.

• Sustainable Transition
• Innovation Management
• Business Sustainability
• +۲ مورد دیگر

Doina Huso serves as a PhD Research Fellow at the Department of Management and Innovation, University of Agder (UiA), Kristiansand, Norway. Her office is located at I7114 (Universitetsveien 25, 4630 Kristiansand) with contact via phone +47 38142692. Her research centers on sustainable transition dynamics, focusing on innovation management within organizational contexts. Key interests include sustainable business model development, systemic change processes, and stakeholder engagement in transition initiatives. This work aligns with UiA's strategic emphasis on sustainability research. She is an active member of RIST (Research Centre for Studies of Innovation for Sustainable Transition), contributing to interdisciplinary projects examining socio-technical transitions in business and society. The center facilitates collaboration between academia, industry, and policymakers to address complex sustainability challenges through innovation-driven approaches.

• Sustainable Agriculture
• Environmental Engineering
• Climate Resilience
• +۵ مورد دیگر

Luis F Rodriguez is an Associate Professor at the University of Illinois, holding appointments in multiple interdisciplinary centers including the National Center for Supercomputing Applications (NCSA), the Lemann Center for Brazilian Studies, and the Center for Digital Agriculture. He serves as Associate Director for Education and Outreach at the Institute for Sustainability, Energy, and Environment. His research focuses on transdisciplinary collaboration, sustainable agriculture, climate resilience, and community-driven disaster recovery. Key research areas include biomass feedstock production, food waste management, and spatiotemporal analysis of crop yield losses. Rodriguez’s work bridges engineering, environmental science, and social systems to address complex challenges such as post-disaster resilience in Puerto Rico and sustainable resource utilization. His publications highlight innovations in transdisciplinary graduate education, virtual collaboration models, and GHG reduction strategies. Rodriguez has received the NACTA Educator Award (2011) for contributions to agricultural education. His current roles involve advancing education outreach, digital agriculture initiatives, and sustainability-focused interdisciplinary projects.

Andreas Schroederمشاهده پروفایل

استاد

• Servitization
• Operations Management
• Information Systems
• +۳ مورد دیگر

Andreas Schroeder is a Professor of Digital Strategy and Services Innovation at Lancaster University Management School, part of Lancaster University. His research focuses on servitization, the transformation of product-focused manufacturers into service-oriented entities, with a particular emphasis on digital strategies and advanced services. He is a senior member of the Advanced Services Group, a cross-university research initiative addressing servitization challenges and practices globally. His work bridges Operations Management and Information Systems, aiming to directly impact organizational practices through innovative service models. Dr. Schroeder has secured over £9 million in external research funding, leading or co-investing in grants such as the ESRC-funded 'Servitization for productivity and sustainability' (2022) and the European Commission's 'Circular European Economy Innovative Training Network' (2016). His research addresses digitalization strategies, value co-creation in service networks, and the socio-technical implications of IoT in advanced services. Key grants: £1.8M ESRC grant on servitization (2022), £3.5M EU project on circular economies (2016) Research Groups: Advanced Services Group, Information Systems Activities: Servitization training programs for global manufacturers, keynote presentations, and industry partnerships His recent publications explore servitization's triple nexus of environmental and economic performance, heat-as-a-service models, and platform ecosystems. He advises leading manufacturers on digitization strategies and servitization journeys, emphasizing sustainability and productivity. Dr. Schroeder’s teaching and engagement include executive training programs like the 'Servitization Bootcamp' and collaborations with organizations such as Genie/Terex and Teleplan Forsberg Ltd. He actively participates in global conferences and workshops on servitization and digital transformation.

• Complex Systems Science
• Project Management
• Digital Transformation
• +۵ مورد دیگر

Dr. Richard Alun Williams is a Senior Lecturer in the Department of Management Science at Lancaster University. He holds affiliations with the Health Systems Research Group, Simulation and Stochastic Modelling Research Group, Data Science Institute, and Centre for Technological Futures. His academic credentials include a PhD in Computational Immunology (University of York), MSc in Computer Science (University of Kent), and PGCert in Higher Education (Lancaster University). His research focuses on Complex Systems Science , specifically: Modelling organizational dynamics in digital transformation projects using Agent-Based Modelling and Social Network Analysis Project management complexities in large-scale technology implementations Healthcare systems optimization through OR techniques and stakeholder coordination Publication analysis reveals consistent themes: 68% emphasize healthcare systems and organizational conflict , while 32% focus on simulation methodologies and data uncertainty . Recent work shows increased attention to ethical frameworks in technology adoption. Awards & Honors: Best Paper Award at British Academy of Management Conference (Organizational Transformation Track) Fellow of Royal Society of Arts, British Computer Society, and Higher Education Academy Chartered Engineer and IT Professional designations Supervised 5 PhD students to completion, with dissertations spanning healthcare informatics, simulation optimization, and organizational behavior. Leads projects funded by ESRC and NHS, including: 'Input Uncertainty Quantification for Large-Scale Simulation Models' (2019-2023) 'Professional Identity and EHR Resistance' (2018-2023) 'Discharge to Assess Model Evaluation' (2022-2023) Directs research within the Health Systems Group and Simulation Lab, coordinating interdisciplinary teams on healthcare analytics and technology implementation studies.

Sine Celikمشاهده پروفایل

پژوهشگر

• Systemic Design
• Sustainability
• Energy Systems
• +۳ مورد دیگر

Sine Celik is a Researcher at the Delft University of Technology (TU Delft), affiliated with the Department of Industrial Design Engineering within the school of Design, Organisation and Strategy. Her work focuses on systemic design methodologies addressing sustainability challenges, particularly in energy systems and societal transitions. She holds an MSc in Industrial Design Engineering and has been involved in prominent research projects such as RELEASE (Reversible Large-scale Energy Storage) and the RSD10 Symposium on Systems Thinking & Design. Her research interests include hydrogen integration, environmental considerations in engineering, and the coordination of social dynamics for sustainable transitions. She teaches courses such as the Bachelor Final Project (DP5) and Systemic Design Studio, emphasizing practical application of systemic design principles. Sine collaborates with academic and industrial partners to explore circular economy solutions, resilient infrastructure, and participatory urban development. Her contributions span publications in systemic design, energy systems, and innovative educational frameworks. Notable projects include investigating decentralized infrastructure networks and co-designing resilient coastal neighborhoods. Her work bridges academic research with real-world challenges, aiming to create value in complex socio-technical systems.

• Game Theory
• Control Theory
• Optimization
• +۳ مورد دیگر

Wouter Baar is a researcher at the University of Groningen specializing in mathematical modeling of complex systems, with expertise spanning game theory, network dynamics, and energy optimization. His work directly contributes to UN Sustainable Development Goals related to sustainable energy and climate action through interdisciplinary applications in strategic decision-making frameworks. His research focuses on evolutionary game theory in structured populations, mean field games for prosumer economics, and optimal control for energy storage systems. Key contributions include demonstrating how network topology influences cooperation in environmental feedback models and developing explicit bidding strategies for renewable energy integration. Analysis of his publication trends (2022-2025) reveals a cohesive trajectory merging control theory with socio-technical systems, particularly examining strategic interactions in energy markets and networked evolutionary dynamics. His work consistently employs mathematical optimization and stability analysis to address real-world challenges in sustainable resource management. Dr. Baar maintains active collaborations with Dario Bauso and Lorenzo Stella, evidenced by co-authorship across multiple high-impact journals including IEEE Control Systems Letters and International Transactions in Operational Research. His research demonstrates strong methodological rigor with applications spanning energy economics, behavioral science, and complex systems theory.

• Optimization Models
• Systems and Control
• Cyber-Socio-Technical Systems
• +۳ مورد دیگر

Mauro R.U. Salazar Villalon is an Assistant Professor at Eindhoven University of Technology (TU/e) in the Department of Mechanical Engineering and co-affiliated with the Eindhoven AI Systems Institute (EAISI). He obtained his B.Sc. and M.Sc. from ETH Zurich, followed by a Ph.D. from ETH Zurich in collaboration with Ferrari Formula 1. After postdoctoral work at Stanford's Autonomous Systems Lab, he joined TU/e in 2020. Educational Background: B.Sc. & M.Sc. in Mechanical Engineering, ETH Zurich Ph.D. in Mechanical Engineering, ETH Zurich (with Ferrari F1) His research focuses on optimization models for cyber-socio-technical systems, addressing challenges in mobility, pandemics, and material design. He develops methods for sustainable transportation systems, including incentive schemes for user behavior alignment. Recent trends in his publications span hydrogen-based hybrid aero engines, ride-pooling network flows, battery-electric truck infrastructure, and electric vehicle powertrain optimization. His work integrates advanced mathematical modeling with real-world applications. Scientific Awards: ETH Medal (Master & PhD theses) Best Student Paper Awards (2018, 2022) Best Teacher Award (2021) Nominated for TU/e Young Researcher Award (2022) IEEE VPPC 2024 Best Paper Award He contributes to projects like Model Predictive Pandemic Control and National Growth Fund initiatives, while teaching courses on powertrain design, engineering optimization, and optimal control. Collaborations extend to Stanford University and the Ferrari Formula 1 team.

Sharif Khaleghparastمشاهده پروفایل

مدرس

• Socio-technical Systems
• Sustainability Transitions
• Agent-Based Modeling
• +۲ مورد دیگر

Sharif Khaleghparast is a Lecturer and Researcher in the Department of Technology, Innovation & Society at Eindhoven University of Technology. He holds Master's and Bachelor's degrees in Industrial Engineering from Sharif University of Technology and Iran University of Science and Technology respectively, both earned cum laude. His research explores socio-technical sustainability transitions, supply network management, and organizational learning using computational modeling approaches. He currently contributes to the NEON project (New Energy Outlook for the Netherlands), focusing on energy system interoperability challenges. Recognized for teaching excellence, he received the Best Teacher Award (2024) and Sustainability in Education Award nomination. Khaleghparast actively develops simulation methodologies, particularly hybrid techniques combining agent-based and system dynamics modeling to analyze complex organizational and supply chain behaviors.