جست‌وجوی استاد و پژوهشگر

• Relational Coordination
• Organizational Theory and Behavior
• Human Resource Management
• +۵ مورد دیگر

Jody Hoffer Gittell serves as Professor of Management at Brandeis University's Heller School for Social Policy and Management, Faculty Director of the Relational Coordination Collaborative, and Chief Executive Officer of Relational Coordination Analytics. She also holds leadership roles as Program Director of the Academy of Management’s Organization Development and Change Division and former Chair of Brandeis University's Faculty Senate (2022-2023). Educational background: BA from Reed College MA from The New School PhD from Massachusetts Institute of Technology Dr. Gittell pioneered relational coordination theory , demonstrating how shared goals, shared knowledge, and mutual respect—enabled by frequent, timely communication—drive performance in interdependent work. Her research integrates organizational resilience , human well-being , and healthcare management , with applications in aviation and healthcare systems. She has authored six influential books including The Southwest Airlines Way and High Performance Healthcare , with a seventh book in progress on turbulent-era healthcare management. Her scientific recognition includes the Outstanding Young Scholar of the Year award, Sloan Industry Studies Best Book Award, and multiple Douglas McGregor Memorial Awards. Competitive funding from the Alfred P. Sloan Foundation, Robert Wood Johnson Foundation, and National Research Council supports her work. Dr. Gittell directs major research initiatives like the Commonwealth Fund's patient care coordination study and serves on governance boards including Reed College's Board of Trustees and Greater Seacoast Community Health (as Vice Chair). She actively mentors through the Robert Wood Johnson Executive Nursing Fellowship and advises federal agencies like AHRQ on team-based care measures. She leads the global Relational Coordination Collaborative—a cross-sector network for positive change—and co-founded Relational Coordination Analytics to operationalize her theory through data-driven tools. Her 'Relating Across Differences' curriculum integrates DEI principles with performance improvement in clinical settings.

• Semiotics
• Complex Adaptive Systems
• Human-Environment Systems
• +۷ مورد دیگر

Athanasios Votsis is an Assistant Professor at the Department of Governance and Technology for Sustainability, University of Twente. His interdisciplinary work bridges semiotics, computational methods, and climate resilience. Education: PhD in Human Geography (University of Helsinki), Master's in Urbanism (Virginia Commonwealth University) Research Interests include: Semiotics (culture, AI, urbanism) Computational methods (cellular automata, agent-based models) Urbanism & Spatial Planning (bottom-up urbanism, resilience trajectories) Spatial Economics (housing markets, natural risks) Climate Adaptation (heatwaves, flooding, aviation energy sectors) AI & Robotics (spatial cognition, human-machine interaction) Recent Publications focus on climate hazards in aviation, energy autarky frameworks, and computational tools for urban planning. Key collaborations include work with the UN ESCAP-APDIM and the Finnish Environment Institute. Scientific Awards : Decentral Educational Award (2023) Supervisory Work covers diverse topics like circular economy in cities, renewable energy policy modeling, and climate-proof spatial planning. He is affiliated with international networks including 4TU Resilience Engineering, ICOMOS, and iEMSs.

Zekun Guoمشاهده پروفایل

مدرس

• Large Language Model Multi-Agent Systems
• Transportation Electrification
• Artificial Intelligence Applications in Electrical Engineering
• +۳ مورد دیگر

Dr. Zekun Guo is a Lecturer in Electrical Engineering and Postgraduate Research Director at the University of Hull's Data Science AI and Modelling Centre (DAIM). He holds a PhD from Brunel University London (2023), an MRes from the University of Edinburgh, and a BEng from Shandong University. His research focuses on Large Language Model (LLM) multi-agent systems, transportation electrification, and AI-driven control for renewable energy. He leads the LLM Agent Research Team and develops AI applications in engineering, healthcare, and business. Education: BEng (Energy and Environmental System Engineering, Shandong University, 2018), MRes (Energy Systems, University of Edinburgh, 2019), PhD (Electronic and Electrical Engineering, Brunel University London, 2023). Research interests include: LLM-based multi-agent systems Power system stability Electric aircraft infrastructure Renewable energy integration Sustainable transportation Recent work emphasizes eco-driving optimization, carbon emission models, and airport microgrid planning. He leads the MSc AI for Engineering programme and its core module on AI-driven optimization. Current grants include Project IGNITE (£15,565) and HI-ACT (£8,668), focusing on hydrogen infrastructure and airport decarbonization. He chairs the Supergen ORE ECR Committee and is an IEEE member.

• Chemical Engineering
• Environmental Engineering
• Resources Engineering
• +۹ مورد دیگر

Dr. Andrea Bernardi is a Research Fellow at the Sargent Centre for Process System Engineering within Imperial College London's Faculty of Engineering. He specializes in techno-economic analysis (TEA), life cycle assessment (LCA), and supply chain optimization, focusing on sustainable chemical processes, circular economy strategies, and personalized healthcare manufacturing. His work addresses challenges in chemical recycling of plastic waste, sustainable production of platform chemicals, and reducing environmental footprints in pharmaceuticals. Dr. Bernardi holds a PhD in Chemical Engineering from the University of Padova (2015) and has conducted research at the University of Padova on biofuels from microalgae. His current projects include the National Interdisciplinary Centre for the Circular Chemical Economy and the Future Targeted Healthcare Manufacturing Hub. He contributes to Imperial's Network of Excellence in Sustainability through Life Cycle Approaches. His research spans Circular chemical systems (e.g., Waste-to-X, methane valorization) Enviro-economic evaluation of low-carbon fuels (aviation, hydrogen) Supply chain optimization for personalized therapies and biopharmaceuticals Machine learning-driven decomposition methods for complex supply chains Recent studies analyze trade-offs between electricity grid decarbonization vs. green methanol fuels, stakeholder-based evaluations of low-carbon technologies, and carbon circularity in methane utilization. His work bridges quantitative process modeling with sustainability policy implications. Key affiliations include the Sargent Centre and collaborations with the Future Targeted Healthcare Manufacturing Hub. No student advisees are explicitly listed in the provided texts.

Ronald Deckertمشاهده پروفایل

استاد

• Digitalization
• Sustainability
• Industrial Engineering
• +۳ مورد دیگر

Prof. Ronald Deckert is a Professor of Industrial Engineering at Hamburg Distance Learning University (HFH), leading the B.Eng./B.Sc. and M.Eng./M.Sc. programs in Industrial Engineering. He currently serves as Dean of the Faculty of Technology. With a physics background from the University of Hamburg and an Executive MBA from École des Ponts ParisTech, he combines technical expertise with business strategy. His research focuses on digitalization across sectors including healthcare, energy, and public administration, alongside sustainability and game-based learning. He actively contributes to policy through roles like supervisory board member of Initions AG and advisory work for the German Science Council. His interdisciplinary approach emphasizes societal context in technological advancements. Recent lectures include discussions on sustainability integration in education and innovation. Education: PhD in Economics & Social Sciences (part-time), University of Hamburg Professional Experience: Former consultant at KPMG, BearingPoint, and Kienbaum Research Interests: Digitalization in healthcare (e.g., elderly care systems), Industry 4.0 applications in aviation maintenance, and sustainable development strategies aligned with Hamburg’s 2030 ESD plan. His work bridges technical innovation with social impact, evident in projects like the Ecological Securities Portfolio prototype. Publications highlight strategic human-machine partnerships, digital governance challenges, and AI in public administration. He advocates learner-centered education through technology-driven methods, reflected in over 20 publications since 2018.

• Aviation Management
• Airport Operations
• Transport Planning
• +۳ مورد دیگر

Richard Moxon is an Associate Professor of Airport Management at Cranfield University's Centre for Air Transport Management. He joined Cranfield in 2007 after nine years at BAA, where he held roles in terminal management, research, and operational duty management at Gatwick and Heathrow airports. He holds an MEng from Leeds and Pennsylvania State Universities, an MSc in Air Transport Management from Cranfield (1997), and a Postgraduate Certificate in Learning, Teaching, and Assessment (2010). His research focuses on aviation management, airport operations, surface access optimization, and crisis management. He teaches modules like Airport Operations and designs CPD courses for organizations such as the Kenya Airports Authority and Airbus. Moxon is a Senior Fellow of the Higher Education Academy and Chartered Member of the Institute of Logistics and Transport. His recent work includes the Urban Turbine project, exploring future airport design challenges. Education: MEng in Architectural Engineering (Leeds/Pennsylvania State Universities) MSc in Air Transport Management (Cranfield University, 1997) PGCert in Learning, Teaching, and Assessment (Cranfield University, 2010) Research Interests: Aviation management, airport operations efficiency, surface access systems, wayfinding design for senior drivers, crisis management in airlines, and sustainable transportation solutions. His work bridges academic research with practical industry applications, emphasizing real-world operational challenges. Awards: Senior Fellow of the Higher Education Academy Chartered Member of the Institute of Logistics and Transport Teaching & CPD: Leads the Airport Operations module and delivers custom training for global clients. Recent engagements include Kenya Airports Authority, Rwanda Airports Company, and Vienna Airport. His courses focus on operational best practices and crisis management strategies. Urban Turbine Research: A pioneering project at Cranfield Airport investigating future airport design and sustainability, addressing technological and logistical innovations to enhance operational efficiency and environmental performance.

• Aviation Management & Operations
• Strategic Airline Management
• Delphi Method Applications
• +۳ مورد دیگر

Dr. Darren Ellis is a Senior Lecturer in Air Transport Management at Cranfield University's Centre for Air Transport Management. He holds a PhD in strategic airline management from the University of New England (2017) and has extensive teaching experience across institutions in Australia, Hong Kong, Oman, Slovakia, and Singapore. His research focuses on strategic aviation management, Delphi method applications, and aeropolitical impacts on regional markets. He is a Fellow of the Higher Education Academy (FHEA) and a Member of the Royal Aeronautical Society (MRAeS). Education background includes a PhD (2017, UNE Business School), Master of Aviation Management (2011, Griffith University), and undergraduate degrees in History and International Relations. His research explores the future trajectory of the airline industry, international aviation law, and emerging markets like ASEAN and Saudi Arabia's Vision 2030 strategy. He has presented at global conferences and contributed to transport summits in Portugal, UAE, and Saudi Arabia. Key research areas include the 1944 Chicago Convention's contemporary relevance, airline strategic alliances, and geopolitical influences on aviation networks. His publications span over 20 peer-reviewed articles and book chapters, emphasizing methodological rigor and interdisciplinary analysis. Awards include recognition for educational practice and contributions to virtual university frameworks. Grants and advising: Though explicit grants are unmentioned, his roles in tertiary aviation course development across multiple countries imply institutional funding. Advising involves mentoring Masters students in aviation management programs. His work bridges academic research and industry applications, particularly in strategic benchmarking and Delphi-based forecasting. Current projects examine Gulf carrier strategies, ASEAN market integration, and the evolving role of multilateral agreements in aviation. He collaborates internationally, co-authoring studies with institutions in Austria, Singapore, and the Netherlands.

• Human Factors in Complex Systems
• Human Performance Measurement and Modeling
• Mental Workload
• +۷ مورد دیگر

Esa Rantanen is an Associate Professor in the Department of Psychology at the Rochester Institute of Technology (RIT), within the College of Liberal Arts. He holds a BS, MS from Embry-Riddle Aeronautical University, and MS and PhD from Pennsylvania State University. Prior to academia, he worked as an airline pilot and air traffic controller. His research focuses on human factors in complex systems, temporal mental models, and applied domains like air traffic control, healthcare, and process control. He teaches courses such as Graduate Engineering Psychology and Human Factors in AI. Dr. Rantanen’s work emphasizes human performance measurement, decision-making under stress, and reducing human error. He is a member of the Human Factors and Ergonomics Society, IEEE Systems, Man, and Cybernetics Society, and the Association for Aviation Psychology. He serves on the editorial boards of 'Human Factors' and 'International Journal of Aviation Psychology'. His recent publications explore topics like temporal awareness in AI, diversity in AI traineeships, and healthcare checklist design during crises. He co-leads the NSF-funded AWARE-AI NRT program, fostering interdisciplinary AI research with a focus on inclusion. His teaching integrates computational foundations with ethical considerations in AI development. Dr. Rantanen’s grants include the Provost’s Learning Innovation Grant (2019) and collaborations on cognitive task analysis in power grid visualization. He actively bridges academic research with industry needs through practitioner-focused education and partnerships.

• Multi-sensor Data Fusion
• Intelligent Systems
• Neural Networks
• +۴ مورد دیگر

Kathleen Kramer is a Professor of Electrical Engineering at the University of San Diego (USD), specializing in multi-sensor data fusion, intelligent systems, and neural/fuzzy systems. She holds a BS in Electrical Engineering (magna cum laude) from Loyola Marymount University, and MS/PhD in Electrical Engineering from California Institute of Technology. Her professional roles include serving on ABET's Engineering Accreditation Commission, IEEE's Board of Governors for the Aerospace Electronics Society, and leadership in the San Diego IEEE Chapter. Dr. Kramer's research focuses on advanced tracking systems, autonomous navigation, and cybersecurity in avionics. She has published over 100 papers, including work on Kalman filters, unmanned systems navigation, and cyber threat analysis. Notable recognitions include an ATHENA Pinnacle Award nomination and leadership awards from IEEE/SWE. She actively contributes to engineering education through USD's electrical engineering senior design program and outreach initiatives like FIRST Robotics. Her service includes advising USD's Tau Beta Pi chapter and supporting veteran engineering education. Research collaborations span industries like ViaSat and Bell Communications Research, emphasizing practical applications of theoretical frameworks in aerospace and robotics.

• Sustainable Energy Systems
• Industrial Decarbonization
• Circular Economy
• +۳ مورد دیگر

Dr. Caroline Ganzer is a Research Fellow and Team Leader in the Process Systems Engineering (PSE) group at the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg. She specializes in sustainable energy systems, decarbonization of industry, and circular economy, employing mathematical modeling and optimization to design net-zero CO₂ solutions. Her work bridges technical feasibility, economic viability, and social impact. Education: PhD (2018–2022): Imperial College London, supervised by Prof. Niall Mac Dowell, sponsored by TotalEnergies. MSc in Advanced Chemical Engineering (2018): Imperial College London. BSc in Mechanical Engineering (2017): RWTH Aachen University. Exchange at Carnegie Mellon University (2015–2016) via RWTH Aachen–CMU collaboration. Research Interests: Her research focuses on: Designing sustainable energy systems with net-zero emissions. Assessing decarbonization pathways for power and industrial sectors. Optimizing renewable energy integration and hydrogen infrastructure. Developing policy frameworks for bio-based industries and circular economy. Articles Trends: Her recent publications emphasize: Hydrogen infrastructure optimization and retrofitting. Policy analysis for bio-based industries in the EU. Machine learning applications in process design and optimization. Economic and environmental assessments of green hydrogen and e-fuels. LCA studies for circular polymers like polyamide. Awards & Scholarships: Geoff Hewitt Prize (Imperial College London). German Academic Scholarship Foundation Fellowship (2014–2018). DAAD ISAP Scholarship for study abroad at Carnegie Mellon. Elected MSc class representative advocating for student interests. Professional Experience: She has held roles as: Consultant with Imperial College Consultants (2018–2020). Intern at BASF (Shanghai, 2016). Research assistant at Fraunhofer IPT (Aachen, 2014–2015). Labs & Collaboration: She leads the PSE group's research on sustainable energy systems and collaborates with TotalEnergies, Imperial College, and international institutions.

Demetris Charalambousمشاهده پروفایل

پژوهشگر ارشد

• Meteorology
• Numerical Weather Prediction
• Atmospheric Science
• +۳ مورد دیگر

Demetris Charalambous serves as a Senior Research Affiliate at The Cyprus Institute's Climate and Atmosphere Research Center (CARE-C) and concurrently holds the position of Physicist and Meteorology Officer at the Cyprus Department of Meteorology since 2005. His expertise centers on Numerical Weather Prediction (NWP) research and development, operational forecasting, and data infrastructure management. He completed specialized training at the UK Met Office College, focusing on aviation and public weather forecasting. His responsibilities include maintaining and advancing automatic weather station networks, managing data traffic systems (WIS), and leading NWP operational frameworks. His work bridges academic research with practical meteorological services, emphasizing climate-related technological innovation. Demetris is actively involved in CARE-C's initiatives, contributing to climate and atmospheric research through technical infrastructure development and predictive modeling advancements.

Behrooz Pourghannadمشاهده پروفایل

استادیار

• Healthcare Operations
• Business Model Innovation
• Supply Chain Management
• +۳ مورد دیگر

Behrooz Pourghannad is an Assistant Professor of Operations and Business Analytics at the University of Oregon's Lundquist College of Business. He holds a PhD in Industrial Engineering from the University of Minnesota and serves as coordinator for the Operations and Business Analytics PhD program. His research focuses on healthcare systems, business model innovation, and supply chain management using methodologies including game theory, machine learning, and causal inference. He has previously held positions at Wilfrid Laurier University and Mayo Clinic, and maintains research collaborations with Mayo Clinic's Kern Center for Healthcare Delivery Science. His work has been recognized with multiple awards including top honors from INFORMS and IBM for research excellence. Current research investigates operational efficiency in healthcare delivery, sustainable supply chain models, and behavioral aspects of business innovation. His publications demonstrate consistent focus on quantitative approaches to complex business systems, with recent work examining energy efficiency in supply chains and patient-provider matching algorithms. Awards include: First Place, INFORMS Aviation Application Section (2017) Finalist, IBM Service Science Best Paper Award (2018) Two-time Finalist, POMS College of Behavior Junior Scholar Competition (2018, 2020)

• Control Theory
• Fault Tolerant Control
• Condition Monitoring
• +۳ مورد دیگر

Dr. Peter Hubbard is a Senior Lecturer in Control Systems Engineering at the School of Electronic Electrical and Systems Engineering. His work focuses on control theory implementation, fault-tolerant control systems, and condition monitoring, with practical applications in rail and aerospace sectors. With industrial experience at BAE Systems, his research aligns with current industrial needs to bridge academic and real-world engineering challenges. His research interests include the development of advanced control strategies for rail and aerospace systems, particularly in areas such as wheel-rail adhesion management, low adhesion detection systems, and active control of trolleybus current collection. He also explores fault management and structural health monitoring in aviation and rail infrastructure. Recent publications highlight advancements in deep learning-driven friction coefficient estimation, real-time adhesion detection, and the integration of thermoelectric models for aircraft generators. These studies reflect a commitment to solving complex engineering problems through data-driven approaches and interdisciplinary collaboration. Peter has contributed to projects addressing passenger safety in rail systems, such as kneeling train mechanisms, and has explored innovative solutions for trolleybus pantograph systems. His work emphasizes practical outcomes, with applications in enhancing rail safety, improving aircraft generator efficiency, and advancing fault-tolerant avionics.

Jessica Kevillمشاهده پروفایل

پژوهشگر

• Environmental Virology
• Wastewater Pollution
• SARS-CoV-2 Pandemic
• +۳ مورد دیگر

Jessica Kevill is a Postdoctoral Research Officer in Environmental Virology at Bangor University's School of Environmental & Natural Sciences. She leads the BlueAdapt project investigating sewage-borne viral risks in coastal environments under climate change. Her expertise includes molecular methods for viral detection in wastewater and environmental samples. Dr. Kevill holds a PhD in Biological Sciences from the University of Salford (2018), focusing on honeybee virus resistance. She developed SARS-CoV-2 detection techniques during the pandemic and currently explores climate impacts on viral viability in marine systems. Education: PhD in Biological Sciences, University of Salford, Manchester (2018) Research on Deformed Wing Virus resistance in honeybees Research Interests: Environmental Virology with focus on wastewater surveillance Climate change effects on pathogen survival in coastal zones Emerging molecular technologies for viral analysis Pandemic preparedness through environmental monitoring Her work bridges public health and environmental science, addressing critical gaps in understanding sewage-derived viruses' ecological and human health impacts. Grants & Projects: BlueAdapt Project : Investigating climate-related pathogen risks (lead researcher) Citizen Science Project : Assessing Conwy River pathogen risks (2024-2025 PI) Labs/Teams: Public and Environmental Health Surveillance Lab at Bangor University Collaborations with environmental microbiology teams

Sathiskumar Anusuya Ponnusamiمشاهده پروفایل

دانشیار

• Multiscale and Multiphysics Mechanics
• Multifunctional Composites
• Data-Driven Modeling
• +۴ مورد دیگر

Dr. Sathiskumar Anusuya Ponnusami is a Reader (Associate Professor) in Structural Mechanics (Aeronautics) at the Department of Engineering, City, University of London, since 2018. He earned his PhD in Aerospace Engineering from TU Delft and MEng from Indian Institute of Science. Current research spans multiscale mechanics of multifunctional composites for aerospace, transport, and energy Develops data-driven models and AI tools for fracture prediction and structural health monitoring Recipient of prestigious fellowships (FRAeS, FHEA) and awards (Airbus-UNESCO, NLF Dutch Aerospace) Research Interests: Focus on predictive computational frameworks combining multiphysics mechanics and machine learning for sustainable structural design. Key areas: self-healing materials, auxetic structures, electromagnetic-absorbing composites, digital twin tools, and generative AI for industrial optimization. Scientific Contributions: Leads EPSRC, Royal Society, and British Council-funded projects. Serves as Associate Editor for Mechanics of Materials and collaborates with EPFL, University of Florida, and Politecnico di Milano. Awards & Recognition: FRAeS (2024), FHEA (2018) Airbus-UNESCO Fly Your Ideas (2015) NLF Dutch Aerospace Award (2015) ITMA Future Materials Award (2015) ICSHM Young Scientist Award (2013) Teaching & Leadership: Directs Aeronautical Engineering programs and teaches mechanics of materials, finite element analysis, and composites courses. Supervises research students including Nurul Abedin.