جست‌وجوی استاد و پژوهشگر

Deborah E. Dickersonمشاهده پروفایل

دانشیار

• Human Factors Engineering
• Product Safety Design
• Occupational Safety
• +۶ مورد دیگر

Deborah E. Dickerson is an Associate Professor in Industrial and Systems Engineering at Virginia Tech’s College of Engineering, cross-appointed in Civil and Environmental Engineering. She directs the Product and System Safety Laboratory focusing on hazard prevention through design, with emphasis on construction safety, occupational health, and risk-based management. Her research has been funded by NIOSH, NIH, and NSF, addressing topics like chemical hazard warnings, design FMEA, and psychosocial factors in safety adoption. Dickerson holds certifications as a Certified Industrial Hygienist (CIH) and Certified Safety Professional (CSP). Education: Ph.D., Industrial and Systems Engineering, Virginia Tech, 2007 M.S., Industrial and Systems Engineering, Virginia Tech, 2006 M.S., Ecology, North Carolina State University, 1999 B.S., Biology, Virginia Tech, 1996 Research Interests: Her work spans systems safety design, construction hazard mitigation, and user-centered training systems. Key areas include: Product warnings and instruction effectiveness Risk-based infrastructure management Safety innovation adoption Prevention through Design (PtD) frameworks Psychosocial factors influencing safety behaviors Awards: 2012 IEEE Transactions Best Paper Award for CO monitoring research NIOSH-funded Doctoral Fellowship at Johns Hopkins CIH and CSP certifications Grants & Advising: Active in securing federal grants and collaborating with industry partners. Advises students in safety engineering and systems design, though no named advisees listed here. Labs/Teams: Leads the Product and System Safety Lab, specializing in preventive engineering solutions for construction and industrial systems.

Matti Huotariمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Internet of Things
• Building Energy Optimization
• +۳ مورد دیگر

Matti Huotari is a Senior Lecturer at Aalto University's Department of Electrical Engineering and Automation, where he researches AI applications for building energy optimization and occupant well-being. His work focuses on integrating IoT technologies with machine learning to enhance building efficiency while maintaining environmental comfort. Dr. Huotari completed his doctoral studies at Aalto University with a dissertation on machine learning applications in building energy systems. Research focuses on: Energy optimization in smart buildings using AI IoT-enabled indoor environment monitoring and control Machine learning for predictive maintenance of building systems Human-centered building automation Sustainable energy utilization Recent publications demonstrate strong emphasis on practical applications of machine learning in building systems, particularly air handling units and battery systems. The work integrates control theory with data-driven approaches for energy efficiency. Dr. Huotari maintains international research collaborations and has been a visiting scholar at UC Berkeley and Tokyo City University. His research contributes to sustainable building technologies and energy conservation.

• Statistical Quality Control
• Supply Chain Management
• Operations Research
• +۳ مورد دیگر

George Nenes is a Professor and Head of the Department of Mechanical Engineering at the University of Western Macedonia (Greece), affiliated with the Polytechnic School. He also serves as a research associate at Aristotle University of Thessaloniki's Mechanical Engineering Department. His academic journey includes a PhD in Statistical Quality Control (2006), MSc in Management of Production Systems (2002), and a Mechanical Engineering Diploma (2000), all from Aristotle University. He has held visiting roles at institutions like the University of Thessaly and Democritus University of Thrace, and taught in international programs like Middlesex University's external programme. Research focuses on Statistical Quality Control and Supply Chain Management, with expertise in adaptive control charts, economic-statistical design methodologies, and inventory optimization. His work spans journals such as European Journal of Operational Research and IIE Transactions. He leads the MORSE Lab (Quantitative Methods of Operations Research and Statistics in Engineering) and teaches courses including Operations Research I/II, Inventory Management, and Simulation. Publications emphasize optimization of quality control systems, remanufacturing lot sizing, and finite-horizon process monitoring. His research integrates Bayesian methods, stochastic modeling, and cost-benefit analysis to address challenges in manufacturing and supply chain systems.

Shahin Gelarehمشاهده پروفایل

دانشیار

• Operations Research
• Logistics and Supply Chain Management
• Transportation Planning
• +۹ مورد دیگر

Shahin Gelareh is an Associate Professor in Operations Research and Logistics at the Université d'Artois, France, affiliated with the Department of Networks and Telecommunications at the IUT de Béthune. He holds a PhD in Optimization from the Technical University of Kaiserslautern (2008), an MSc in Applied Mathematics from the University of Sistan and Baluchestan (2005), and a BSc from Ferdowsi University of Mashhad (2003). His research focuses on Locational Analysis , Integer Programming , Metaheuristics , Global Network Design , and applications in Maritime Transport , Supply Chain , and Telecommunications . Notable areas include hub-and-spoke network optimization, liner shipping fleet deployment, and competitive analysis using game theory. Recent publications emphasize innovations in Neural Benders Decomposition for optimization, cross-docking systems , and hub location routing . His work spans theoretical advancements and industry collaborations in transportation and telecom sectors. Professional activities include memberships in leading OR societies (EWGLA, EWGT, VeRoLog) and roles as an ad-hoc reviewer for high-impact journals like Transportation Research Part E and European Journal of Operational Research .

• Oncology
• Clinical Trials
• Medical Research
• +۴ مورد دیگر

Dr. Katherine Francis is a Research Focused Academic affiliated with the NHMRC Clinical Trials Centre at the University of Sydney's Faculty of Medicine and Health. Her work primarily centers on oncology research, clinical trials methodology, and adverse event analysis in cancer treatments. She has contributed significantly to studies involving ovarian cancer treatment strategies and the optimization of clinical trial reporting frameworks. Her research spans both oncological and ophthalmological domains, reflecting a multidisciplinary approach to medical science. She has published extensively on topics including platinum-based chemotherapy regimens, PARP inhibitor efficacy, and novel diagnostic methods for ocular conditions. Dr. Francis collaborates with international teams on high-impact studies, such as the SOLO2/ENGOT-ov21 trial analyzing olaparib treatment outcomes. Her work emphasizes improving patient safety through rigorous adverse event trajectory tracking and graphical reporting innovations.

Martin Jobornمشاهده پروفایل

دانشیار مدعو

• Railway Transport
• Transportation Planning
• Operations Research
• +۳ مورد دیگر

Martin Joborn is an Adjunct Associate Professor at Linköping University's Department of Science and Technology (ITN), affiliated with the Communications and Transport Systems school. His research focuses on railway and public transport optimization, including delay analysis, freight car distribution, and integrated traffic-management systems. Key contributions include studies on railway punctuality improvement, freight logistics optimization, and infrastructure utilization. He contributed to the 2019 RailNorrköping conference as an organizer and researcher. His work bridges theoretical models with practical applications in transportation systems. Recent publications analyze freight car distribution algorithms, timetable adherence effects, and critical disturbance identification in railway networks. His research emphasizes cost-benefit frameworks and optimization models for traffic and maintenance planning.

Mahmoud Shafieeمشاهده پروفایل

استاد

• Energy Systems Resilience
• Sustainable Energy
• Structural Health Monitoring
• +۱۳ مورد دیگر

Professor Mahmoud Shafiee is a globally recognized academic and researcher at the University of Surrey , holding the Chair in Resilient Energy at the School of Mechanical Engineering Sciences. He directs the Energy Resilience Centre and leads the REF 2029 Engineering Unit of Assessment . His career spans leadership roles at Cranfield University, University of Kent, and University of Sheffield, alongside research fellowships in Sweden and Canada. He is a Fellow of the Institute for Sustainability and serves on committees for Institution of Mechanical Engineers (IMechE) , European Safety & Reliability Association (ESRA) , and Engineering Integrity Society (EIS) . Education : PhD, Chartered Engineer (CEng), Postgraduate Certificate in Higher Education (PGCHE), Senior Fellow of the Higher Education Academy (SFHEA) Professional Memberships : Fellow of IMechE, Member of IET, BINDT, Energy Institute, and advisory roles at RenewableUK, WindEurope, and GWEC His research focuses on Energy Systems Resilience , Structural Health Monitoring , Digital Twins , Machine Learning , and Circular Economy applications in renewable energy. Recent work integrates Industry 4.0/5.0 technologies into offshore wind and hydrogen systems. His 15 most recent articles emphasize machine learning for energy consumption prediction, digital twins for structural monitoring, and circular economy strategies in wind turbine recycling. Scientific Awards : Best Paper Award 2025 (Energies), Fellow of Institute for Sustainability (IfS) Grants & Collaborations : Principal Investigator for UK-Brazil Smart Wind Monitoring Project; Co-Investigator in €5.3M Horizon Europe Digital Twins for Wind Power; lead in £20M UK Clean Maritime Programme and £1.3M Hydrogen Transportation Project Supervision : Supervised 22 PhD, 80 MSc/MRes, and 200 BEng/MEng students. Highlights include advising on offshore wind life performance, structural monitoring, and PEM Fuel Cell modeling. Editorial Roles : Associated Editor and Editorial Board member for journals in Resilience Engineering, Renewable Energy, and Prognostics & Health Management (PHM). Conferences : Plenary speaker at international events on topics like hydrogen refueling resilience and remanufacturing strategies for renewable assets.

Edward Spangمشاهده پروفایل

دانشیار

• Water-Energy-Food Nexus
• Sustainability
• Environmental Management
• +۳ مورد دیگر

Edward Spang is an Associate Professor in Food Science and Technology at the University of California, Davis, affiliated with the Robert Mondavi Institute - Sensory Bio Food Science. His research focuses on optimizing water, energy, and food systems, emphasizing high-resolution monitoring and policy impacts. He holds a Ph.D. and M.A.L.D. from Tufts University's Fletcher School, and a B.A. from Dartmouth College. Dr. Spang's work explores the food-water-energy nexus, including food loss drivers, policy effectiveness, and innovative technologies like desiccant drying systems. He has published extensively on topics ranging from cultured meat sustainability to emergency food system resilience during crises like the pandemic. Research Interests: Integrated resource systems, food waste reduction, energy-efficient agricultural processing, and climate adaptation strategies Key Publications: Over 50 peer-reviewed articles since 2014, with recent focus on cellular agriculture economics and policy analysis Recipient of multiple advising awards (2018–2020), Dr. Spang is a leader in academic mentorship while advancing interdisciplinary sustainability research. His work bridges engineering, policy, and environmental science to address global resource challenges.

Ricardo Codinhotoمشاهده پروفایل

مدرس ارشد

• Building Information Modelling (BIM)
• Health and Wellbeing Design
• Facility Management
• +۷ مورد دیگر

Ricardo Codinhoto is a Senior Lecturer in the Department of Architecture & Civil Engineering at the University of Bath, affiliated with The Foundry: Centre for Digital, Manufacturing & Design. His research focuses on advancing design theory, practice, and education, particularly in evidence-based design, BIM for facilities management (BIM FM), and design for health and wellbeing. He has led projects funded by EPSRC, ESRC, MRC, and NIHR, collaborating with organizations like Salford Royal Foundation Trust and the Government Office for Science. Key research areas include: Building Information Modelling (BIM) applications in FM and early design stages Healthcare environments and dementia-friendly design Lean design and construction principles Digital twins and IoT integration for maintenance Sustainable development goals (SDGs), particularly related to healthcare and urban design He has contributed to policy development and industry practices through projects such as the Salford Royal Foundation Trust’s service design integration and the Manchester Town Hall Complex BIM implementation. His work emphasizes bridging theory and practice, with a focus on improving design outcomes through evidence-based methodologies. Recent publications explore statistical maintenance analysis for digital twins, BIM adoption in small architectural firms, and participatory methods in social housing. Codinhoto has also served as an External Examiner at the University of West London (2017–2020).

• Power Systems
• Electrical Engineering
• Renewable Energy
• +۴ مورد دیگر

Sonja Monica Berlijn is a Professor of sustainable integrated energy systems at KTH Royal Institute of Technology. Her work focuses on the energy transition towards sustainable systems, emphasizing electrification, digitalization, and grid modernization. She examines practical challenges in maintaining energy security, including infrastructure upgrades, renewable integration, and cybersecurity risks in smart grids. Collaborations with industry and public actors drive her research on improving insulation systems, voltage management, and environmental resilience in power transmission networks. Her research interests encompass power systems engineering, renewable energy integration, cybersecurity in energy infrastructure, and the digitalization of control systems. She investigates solutions for grid reliability, such as advanced monitoring of overhead lines using image analysis and surveillance systems. Her work also addresses environmental factors like ice/snow impacts on insulators and volcanic ash effects, ensuring robustness against natural hazards. Berlijn’s contributions include pioneering methods for voltage uprating of transmission lines (e.g., upgrading 300 kV to 420 kV) and developing testing protocols for high-voltage equipment compliance with IEC standards. Her publications span over two decades, highlighting expertise in insulation coordination, partial discharge measurements, and system safety under extreme conditions. Despite no explicit awards listed, her extensive industry collaboration underscores her applied research impact. Her advising and grants focus on advancing technical solutions for energy systems through interdisciplinary approaches. She engages in lab-based studies of material performance and field applications of smart grid technologies, aiming to bridge theoretical and practical challenges in sustainable energy systems.

• Aerospace Engineering
• Materials Science
• Mechanical Engineering
• +۳ مورد دیگر

Michele Pasquali is an Associate Professor at the Department of Mechanical and Aerospace Engineering of Sapienza University of Rome. His research focuses on advanced materials for aerospace and high-energy physics applications, structural health monitoring, Industry 4.0 integration in aerospace manufacturing, and preliminary design methodologies for satellite systems and collimation systems in particle accelerators. His work often intersects with experimental facilities at CERN, particularly the HiRadMat facility for material testing under extreme conditions. Key research themes include: Development of advanced composite materials for aerospace and accelerator components Integration of AI and immersive technologies (AR/VR) in manufacturing and assembly processes Optimization of beam collimation systems for high-luminosity particle accelerators like the HL-LHC and FCC Economic analysis of space infrastructure concepts such as lunar propellant mining Systems engineering approaches for Earth observation satellite constellations His recent projects include: Design of a Cyber-Physical System for AR-assisted assembly of aerospace components Material characterization studies for vacuum beam windows at CERN facilities Preliminary analysis of moon-mined propellant viability for on-orbit refueling Collaborations involve major scientific institutions such as CERN and contributions to Future Circular Collider (FCC) conceptual design reports. His work bridges theoretical modeling with practical implementation in cutting-edge engineering systems.

Jim Smithمشاهده پروفایل

استاد

• Bayesian statistics
• Decision theory
• Probabilistic graphical models
• +۷ مورد دیگر

Jim Smith is a Professor in the Department of Statistics at the University of Warwick. He actively leads research initiatives in Bayesian statistics, decision theory, and causal modeling with applications to food security, forensic science, and public health. His work bridges theoretical advancements in graphical models with real-world implementations through collaborations with government agencies and industry partners. PhD in Statistics (University of Warwick) Research focus: Bayesian networks, chain event graphs, expert judgment elicitation, causal inference Key collaborations: Martine Barons, Manuelle Leonelli, Ann Nicholson Research Interests Smith's work centers on high-dimensional Bayesian decision analysis, causal discovery in dynamic systems, and integrating expert judgments into formal models. He has developed novel Chain Event Graphs for complex system modeling and focuses on applications in: Food security risk assessment Forensic evidence evaluation Counter-terrorism strategies Medical imaging analysis Crisis management Energy security Recent Publications Trend His recent work demonstrates increasing focus on adversarial risk analysis (2025), secure data modeling for law enforcement (2024), and methodological improvements in Bayesian networks (2023-2024). Key themes include: Polynomial regression-based moment propagation Multi-agent decision frameworks Dynamic graphical model extensions Causal analysis in security contexts Mathematical foundations of Bayesian graphs Scientific Awards Fellow of the Alan Turing Institute (2017-2024) COST European Cooperation award for expert judgment research EPSRC-funded OxWaSP PhD training consortium co-director Grants & Collaborations Currently serving as PI in 6 Alan Turing Institute projects and CI on 7 others. Major grants include: European Food Standards Agency expert elicitation funding EPSRC OxWaSP initiative National Digital Twin Programme research Home Office policy evaluation projects Labs & Teams Co-leads a university research team studying cross-domain expert coherence. Member of the Food Global Research Priority team coordinating UK food security studies. Developed software tools in R/Python for Chain Event Graph analysis.

• Supply Chain Management
• Healthcare Improvement
• Healthcare Logistics
• +۳ مورد دیگر

Dr. Ali Hajiaghabozorgi is a Research Fellow in Supply Chain Management at the Institute of Transport and Logistics Studies (ITLS) within the University of Sydney's Business School. He joined in April 2019 to work on an IMCRC-funded project focusing on vaccine supply chain optimization in Australia. Previously, he held postdoctoral positions at Clemson University (2014-2015) and Sharif University of Technology (2016-2018), researching healthcare logistics and supply chain design. His academic background includes a PhD in Industrial Engineering from the University of Central Florida (2014), an MSc, and a BSc. His research interests span Supply Chain Management , Healthcare Improvement , and the intersection of Supply Chain in Healthcare . Key projects include vaccine supply chain design, blood bank inventory optimization, and airline network congestion management. He has also consulted for organizations like Universal Studios Orlando and automotive supply companies. Dr. Hajiaghabozorgi’s work addresses sustainability challenges in supply chains, such as carbon emissions and cold chain logistics. His publications explore network design, inventory modeling, and operational efficiency in healthcare and energy sectors. He contributes to teaching ITLS5000 Foundations of Supply Chain Management and MMGT6012 Business Tools for Management . His research aligns with the Sydney Institute of Agriculture, emphasizing practical solutions for complex logistics problems. Current projects focus on enhancing supply chain resilience in healthcare and optimizing resource allocation under uncertainty.

Xiang Zhangمشاهده پروفایل

مدرس ارشد

• Transformer Thermal Behavior
• Computational Fluid Dynamics (CFD) in Power Equipment
• Electrical Insulation Systems
• +۳ مورد دیگر

Dr. Xiang Zhang is a Senior Lecturer in Electrical and Electronic Engineering at Manchester Metropolitan University. He earned his PhD (2014-2017) and MSc (2012-2014) in Electrical Engineering from The University of Manchester and Xi’an Jiaotong University respectively, with a BSc (2008-2012) in Electrical Engineering and Automation from Xi’an Jiaotong University. As Fellow of the UK Higher Education Academy (FHEA), he specializes in power transformer thermal behavior, cooling systems, and dielectric material analysis. PhD Research: Transformer thermal modeling and cooling optimization Current Role: Focuses on transformer thermal dynamics and CFD simulations Languages: Chinese, English His research integrates computational fluid dynamics (CFD), thermal analysis, and electrical insulation studies. Recent work explores oil flow distribution, alternative cooling liquids, and thermal capacity estimation under variable loads. He actively participates in international conferences and received multiple awards for academic excellence, including best paper recognitions at CIGRE and CMD. Notable trends in his publications include: transformer thermal behavior analysis (10+ articles), cooling mode comparisons (2017-2020), CFD validation through experiments (2016-2018), and coolant type investigations (2016-2019). His work addresses critical challenges in power equipment reliability and efficiency. Scientific Awards Exceptional Performance Award (2020) Best Oral Presentation (IDCOMPU 2019) Best Paper Award (CIGRE 2018) Excellent Student Paper Award (CMD 2016) PhD Research Full Scholarship Honourable Mention (MCM 2011) Dr. Zhang serves as Secretary of CIGRE A2.60 Working Group (2020-present) and maintains active research through collaborations with industry partners. His work combines experimental validation with numerical modeling to enhance transformer performance and longevity in diverse operational conditions.

Bartosz Ciupekمشاهده پروفایل

استادیار

• Thermal Engineering
• Combustion Processes
• Emission Reduction
• +۳ مورد دیگر

Bartosz Ciupek is an Assistant Professor at the Institute of Thermal Engineering, Poznan University of Technology. His research focuses on reducing emissions from solid fuel boilers, improving energy efficiency of heating systems, and combustion process optimization. He is a principal investigator in multiple projects funded by NCBiR and industry partners, addressing low-emission boiler design, alternative fuels, and catalytic emission reduction technologies. He holds a BEng and PhD in Thermal Engineering. His work includes over 20 peer-reviewed publications in journals like Energy , Energies , and Przemysł Chemiczny , covering topics such as flue gas recirculation, catalytic systems, and biomass co-firing. Notable achievements include the Poznan City Scholarship for Young Scientists (2023) and didactic awards from Poznan University of Technology. Ciupek leads projects such as the POIR.04.01.04-00-0135/16 grant (2018-2020) for low-emission boilers and the 0712/PRJG/5189 project (2020) evaluating catalytic reactors. He collaborates with industry partners like CHIRON Werke GmbH (2019) and actively participates in professional organizations like the Polish Association of Mechanical Engineers (SIMP). His teaching includes thermodynamics and combustion processes, with a focus on practical applications in heating systems and energy efficiency. He has supervised experimental studies on boiler performance, fuel additives, and emission modeling.