جست‌وجوی استاد و پژوهشگر

• Energy Efficiency
• Air Quality
• Sustainable Development
• +۲ مورد دیگر

Davor Končalović is Associate Professor in Energy and Process Engineering at the University of Kragujevac's Faculty of Engineering. His research focuses on sustainable energy transitions, air quality management, and environmental impacts of urban systems in Southeast Europe. Recent projects analyze PM2.5 pollution monitoring, renewable energy forecasting, fuel-switching impacts, and sustainable building retrofits. Dr. Končalović investigates energy cooperatives as models for just transition in the Balkans and studies behavioral aspects of urban sustainability, including student mobility patterns and air quality perceptions. He contributes to technical solutions for industrial energy efficiency through heat pump integration and cogeneration systems.

• Renewable Energy Systems
• Hydrogen Energy
• Bioprocess Engineering
• +۳ مورد دیگر

James Reed is a Senior Lecturer in Renewable Energy at the University of South Wales, affiliated with the Faculty of Computing, Engineering and Science and the Sustainable Environment Research Centre. He leads the MSc Renewable Energy and Sustainable Technology program and is a member of the Energy Institute. Education: MEng (Automotive Engineering) and MSc (Renewable Energy Systems Technology) from Loughborough University, followed by a PhD on microchannel heat exchanger technology for LPG steam reforming. Research focuses on renewable energy systems, including hydrogen integration in low-carbon networks, biohydrogen/biogas utilization with solid oxide cells, and FT-NIRS for bioprocess monitoring. His work applies multivariate statistical techniques like PCA and PLSR to optimize anaerobic digestion and enhance lignocellulosic feedstock performance. Key achievements include a 2019 2nd Prize poster Award for collaborative work on anaerobic digestion monitoring. His contributions span 29 peer-reviewed publications and active participation in net-zero energy conferences. Labs/Teams: Involved with the Sustainable Environment Research Centre and collaborates internationally on energy systems research.

Ilarion Mihăilăمشاهده پروفایل

پژوهشگر

• Plasma Physics
• Laser Ablation
• Optical Diagnostics
• +۴ مورد دیگر

Ilarion Mihăilă is a Scientific Researcher III at the Department of Exact Sciences and Natural Sciences, CERNESIM Center, Alexandru Ioan Cuza University of Iasi. He specializes in plasma physics, with expertise in plasma diagnostics, laser ablation, and thin film deposition. His work spans environmental, biomedical, and materials science applications. PhD in Physics (Plasma Physics), Faculty of Science and Engineering, Saga University, Japan Master’s and Bachelor’s in Physics (Plasma Physics), Faculty of Physics, Alexandru Ioan Cuza University of Iasi Research interests: Production and diagnosis of DC, AC, and RF plasmas (low pressure/atmospheric pressure), laser ablation for thin film deposition, mass spectrometry, and applications in pollutant destruction, biomedical treatments, and astrophysical carbon dust analogues. His studies explore plasma-seed interactions, flexible electronics substrates, and plasma-activated media in cancer therapy. Prominent article trends: Recent works focus on non-thermal plasma applications in agriculture (quinoa seed germination under saline stress), biomedical innovations (plasma-assisted chemotherapy), and materials science (surface relief gratings for flexible electronics). His plasma jet diagnostics and computational modeling address industrial and environmental challenges, while earlier studies emphasize magnetron sputtering, laser ablation, and fundamental plasma physics.

Hailei Wangمشاهده پروفایل

دانشیار

• Thermodynamics
• Heat Transfer
• Renewable Energy
• +۹ مورد دیگر

Hailei Wang is an Associate Professor in the Mechanical and Aerospace Engineering Department at Utah State University. He holds a PhD in Mechanical Engineering from Oregon State University, an MS from Texas Tech University, and a BS from Southwestern Petroleum University. Prior to joining USU, he spent ten years as a research faculty member at Oregon State University and eight years as a mechanical and process engineer in the natural gas industry. Dr. Wang's research spans thermal energy systems with focus areas including: Advanced power cycles using supercritical fluids Microchannel heat exchangers for process intensification Integrated clean energy systems optimization HVAC in grid-interactive buildings Supercooling-based thermal energy storage and desalination Boiling/condensation enhancement Heat transfer on superhydrophobic surfaces His publications demonstrate strong focus on energy system optimization, nuclear-renewable integration, and advanced heat transfer mechanisms, particularly in applications for sustainable power generation and thermal management. Notable scientific recognitions include: Faculty Researcher of The Year (2022) Graduate Mentor of The Year (2021) Undergraduate Faculty Advisor of The Year (2019) Dr. Wang leads the Energy Technology Research & Innovation Lab (eTRI) with research sponsored by organizations including the Department of Energy. Current projects include high-temperature recuperator design for solar power and dynamic modeling of Natrium nuclear hybrid systems. He advises 14 graduate students and teaches courses in heat transfer, thermodynamics, and hybrid energy systems.

Stig Helvegمشاهده پروفایل

استاد

• Catalysis
• Surface Science
• Electron Microscopy
• +۷ مورد دیگر

Stig Helveg is a Professor and Director of the Danish National Research Foundation’s Center for Visualizing Catalytic Processes (VISION) at the Technical University of Denmark. He holds a PhD in Physics from Aarhus University (2000) and previously served as a Fellow at Topsoe A/S. His research focuses on atomic-resolution electron microscopy in catalysis and surface science, pioneering in situ and operando techniques under reaction conditions. His interdisciplinary work integrates electron microscopy with MEMS, chemical engineering, and materials science to study catalyst dynamics at the atomic level. Key achievements include the development of advanced TEM imaging methods, such as exit-wave reconstruction and high-resolution environmental TEM. His awards include the EliteForsk Prize (2018), MRS Innovation Award (2019), and Microscopy Society of America Fellowship (2021). He supervises multiple PhD students and leads projects on catalyst stability, CO 2 electrolysis, and nanoparticle dynamics. The VISION Center and Department of Physics provide his primary affiliations, with research spanning catalysis, nanomaterials, and quantum phenomena observed via electron microscopy. Recent articles highlight advancements in single-electron coherence, CO 2 electrolysis catalysts, and atomic-scale imaging of defects in CrSBr. His work bridges quantum mechanics with practical catalytic applications, emphasizing real-time observation of material behavior under reaction conditions.

Eleni Boumpaمشاهده پروفایل

پژوهشگر

• Smart Environments
• Healthcare Services
• Cyber-Physical Systems
• +۳ مورد دیگر

Eleni Boumpa is a Researcher and Ph.D. candidate at the Department of Computer Science and Biomedical Informatics, University of Thessaly. She leads the AuDi-o-Mentia research team and is affiliated with the Intelligent Systems Laboratory. Her work focuses on assistive technologies for people with neurodegenerative diseases, smart environments, cyber-physical systems, and healthcare in consumer electronics. Education: BSc in Computer Science & Biomedical Informatics (2018), University of Thessaly Current Role: Ph.D. candidate since 2018, researching 'Ambient Assistive Systems in Smart Environments' Her research interests include developing smart systems for elderly care, gas leakage detection via TinyML, logistics optimization, and security in healthcare wearables. Her work is funded by the EPICS in IEEE program and has led to innovations like home assistive systems for dementia patients. Awards: 1st place in IEEE Mind the Gap 2017 (dementia assistive system) Finalist in Microsoft Imagine Cup 2017 3rd place at ECESCON 2017 (best business idea) Advising & Grants: As team leader of AuDi-o-Mentia, she coordinates interdisciplinary research on memory aids for neurodegenerative diseases. Her projects integrate acoustic-based systems, tinyML, and sensor networks into assistive technologies. Labs & Teams: Member of the Intelligent Systems Laboratory and founder of the AuDi-o-Mentia team, focusing on dementia care technologies.

Andreas Zoggمشاهده پروفایل

استاد

• Process Development
• Process Safety
• Reaction Technology
• +۵ مورد دیگر

Prof. Dr. Andreas Zogg is a Professor at the FHNW University of Applied Sciences and Arts Northwestern Switzerland, leading the process development team in the School of Life Sciences' Institute for Chemistry and Bioanalytics. His research focuses on process safety, continuous flow chemistry, and thermal process safety, with a strong emphasis on bridging academic innovation with industrial applications. He founded and chairs the Miniplant 4.0 initiative, which advances chemical process development through safety-first approaches. Key projects include Innosuisse-funded collaborations with industry partners like Fluitec and Schärer & Schläpfer AG, focusing on scaling continuous processes safely. Zogg’s team develops models for explosion risk assessment, energy-efficient processes, and reactor design. His lab facilities include a unique explosion reactor for testing hazardous reactions, offering students hands-on experience in process safety and modeling. Roles: Team leader, Lab head, Course manager Research Themes: Process safety, reaction technology, calorimetry, sustainable chemical processes Key Achievements: Awarded for applied chemical thermodynamics (2005), ETH Medal (2004) Education: Not explicitly stated in provided texts Zogg actively supervises MSc and BSc students in industry-linked projects, fostering next-generation engineers skilled in process optimization and safety. His work emphasizes Switzerland's chemical industry competitiveness through safety, sustainability, and quality.

DANIEL B. CHASTAINمشاهده پروفایل

دانشیار بالینی

• Infectious Diseases
• Antimicrobial Therapy
• HIV Treatment
• +۴ مورد دیگر

Daniel B. Chastain is a Clinical Associate Professor at the University of Georgia College of Pharmacy, specializing in Clinical Pharmacy and Infectious Diseases. His clinical role includes serving as a Clinical Pharmacy Specialist in Infectious Diseases in Albany, GA. His research focuses on antimicrobial stewardship, fungal infections, HIV treatment, and the impact of immunosuppressive therapies on opportunistic infections. Dr. Chastain’s work addresses critical areas such as candidemia epidemiology, climate change effects on fungal pathogens, and optimizing pharmacotherapy in immunocompromised populations. He actively collaborates with global research networks to analyze outcomes of viral, fungal, and bacterial infections in diverse patient cohorts. His recent studies explore substance use disorders in outpatient antimicrobial therapy, toxoplasmosis serology implications, and the role of pharmacists in interprofessional care. Dr. Chastain’s publications emphasize real-world clinical data analysis, with a focus on infectious diseases, mycology, and public health strategies. His research spans topics such as CAR-T cell therapy-related infections, post-COVID-19 candidemia trends, and improving diagnostic accuracy through biomarkers like the ferritin-procalcitonin ratio. He advocates for advancing pharmacist roles in critical care settings and addressing health disparities through medication access and education. His clinical and academic contributions are rooted in evidence-based practice, with a commitment to translating research into actionable guidelines for patient care. Dr. Chastain’s affiliations include the University of Georgia’s Center for Drug Discovery and collaborative networks in global biomedical research.

• Ocean Carbon Cycle
• Ocean Biogeochemical Modelling
• Climate Modelling
• +۴ مورد دیگر

Dr. Sreeush Mohanan is a Research Fellow at the Alfred Wegener Institute (AWI), leading the MarESys Junior Research Group within the Sea Ice Physics department. His work focuses on ocean carbon cycle dynamics, biogeochemical modeling, and international model benchmarking. He specializes in large ensemble simulations, forward/inverse modeling, and Observing System Simulation Experiments (OSSEs). His research addresses critical questions about anthropogenic impacts on marine dissolved organic matter, ocean acidification, and climate change projections beyond 2100. Affiliation: Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI) Key Projects: International Ocean Model Benchmarking (IOMB) System, Indian Ocean carbon cycle modeling, and upwelling zone dynamics studies. His research interests include refining biogeochemical models through data assimilation and Bayesian methods, with a focus on improving representations of nutrient dynamics, plankton biomass, and compensation depth variability. He has contributed to understanding the role of the Indian Ocean Dipole (IOD) on carbon cycles and the impacts of upwelling zones on regional biogeochemistry. Dr. Mohanan's work integrates observational data from platforms like Bio-Argo floats with advanced modeling techniques to enhance predictions of future ocean states under climate change scenarios. His research underscores the importance of multi-disciplinary approaches to address global carbon budget uncertainties and optimize observing systems for ocean health monitoring.

James McLellanمشاهده پروفایل

استاد

• Mathematical Modelling
• Process Control
• Chemical Engineering Design
• +۶ مورد دیگر

James McLellan is a Professor in the Department of Chemical Engineering at Queen's University, affiliated with Smith Engineering. He holds cross-appointments in the Department of Mathematics and Statistics and the School of Drama and Music within the Faculty of Arts and Science. His research focuses on dynamic modeling, control, and simulation of chemical processes, emphasizing nonlinear systems and stochastic models. McLellan received his B.Sc. in Mathematics and Engineering (Process Control Option) from Queen's University (1981), M.A.Sc. in Chemical Engineering from the University of Waterloo (1983), and Ph.D. in Chemical Engineering from Queen's University (1990). He has been Department Head since 2006 and Academic Director of the Dunin-Deshpande Queen's Innovation Centre. His research interests span stochastic modeling, molecular design, computational models, and chemical engineering design. Key areas include extremum-seeking control for distributed systems, bioscrubber modeling for toxic gas treatment, and optimization of bioreactors. He has contributed to advancements in process control for industrial applications like polyethylene reactors and bioenergy systems. McLellan's work integrates mathematical rigor with engineering practice, addressing challenges in environmental biotechnology, energy systems, and nonlinear control. His publications emphasize system dynamics, parameter estimation, and controller design for complex processes. He currently teaches ENIN 400: Innovation Design Sprint and has advised on grants related to wastewater treatment, bioreactor optimization, and sensor development. His collaborative projects include cross-disciplinary initiatives in innovation and entrepreneurship through Queen's Innovation Centre.

• Geo-information Science
• Remote Sensing
• Habitat Suitability Modeling
• +۵ مورد دیگر

Aldo Bergsma is affiliated with the Laboratory of Geo-information Science and Remote Sensing at Wageningen University & Research. As a Lecturer, he focuses on geospatial technologies and their applications in environmental and ecological research. His work integrates remote sensing, GIS, and spatial modeling to address challenges in habitat suitability, forest dynamics, climate change impacts, and geospatial education. Research Interests: His expertise spans vector habitat modeling (e.g., Aedes albopictus), species distribution analysis, forest growth prediction under climate change, and system development for real-time environmental monitoring. He has pioneered projects like web-based forest monitoring systems and 3D visualization tools for land use analysis. His contributions to geospatial education include curriculum design and training programs through initiatives like the GI-N2K survey. Key Projects: Developed the GESO platform for sustainability visualization, contributed to sensor web architectures for vegetation monitoring, and analyzed spatial patterns in public transport trajectories. His research often bridges theoretical models with practical applications, emphasizing real-world environmental management solutions. Publications: Over 22 peer-reviewed outputs, including influential articles on invasive species modeling, forest growth predictions, and geospatial education frameworks. His work appears in journals like Parasites & Vectors and Ecology and Evolution .

Shadi Mohamedمشاهده پروفایل

دانشیار

• Computational Mechanics
• Finite Element Analysis
• Acoustic Wave Modeling
• +۴ مورد دیگر

Shadi Mohamed is an Associate Professor at Heriot-Watt University's School of Energy, Geoscience, Infrastructure and Society, specifically within the Institute for Infrastructure & Environment. His research focuses on computational mechanics with applications spanning acoustic wave modeling, traffic flow simulation, and structural dynamics. He maintains an active research profile with over 100 publications and currently accepts PhD students for projects in computational mechanics, traffic modeling, and acoustic waves. His research interests center on advanced numerical methods for engineering problems, particularly finite element analysis for transient diffusion, wave propagation, and structural dynamics. Key focus areas include enriched finite element methods, partition of unity techniques, and machine learning integration for structural health monitoring and inverse problems. His work demonstrates strong alignment with UN Sustainable Development Goals through sustainable infrastructure development and environmental protection. Analysis of his recent publications reveals a clear trajectory toward hybrid computational approaches combining traditional numerical methods with machine learning, particularly for structural dynamics, fatigue analysis, and wave propagation problems. His work increasingly integrates convolutional neural networks for vibration analysis and employs isogeometric analysis for thermal and diffusion problems in composite materials. Best Post-graduate Research (2008) Japan Society for the Promotion of Science Invitational Fellowship (2019) Dr. Mohamed actively supervises PhD research and collaborates internationally, with recent work spanning vibration-induced fatigue assessment, dynamic load identification, and thermal analysis of composite materials. His research is supported by prestigious fellowships and demonstrates strong industry relevance, particularly in structural integrity assessment and sustainable infrastructure development. He is affiliated with the Institute for Infrastructure & Environment, which focuses on sustainable engineering solutions for global challenges.

Yujia Hanمشاهده پروفایل

استادیار

• Supply Chain Management
• Social Network Analysis
• Infrastructure Supply Chains
• +۳ مورد دیگر

Yujia Han is an Assistant Professor of Operations Management at Edinburgh Business School, Heriot-Watt University (UK). Her research focuses on buyer-supplier relationships in complex infrastructure supply chains, leveraging social network theory to analyze non-linear relationships. She previously worked as a senior buyer in the oil and gas industry and holds a BSc in Electrical Engineering and MSc in Logistics & Supply Chain Management from Heriot-Watt University. Education: BSc Electrical Engineering, Heriot-Watt University MSc Logistics & Supply Chain Management, Heriot-Watt University Research Interests: Yujia explores how social network analysis enhances understanding of supply chain dynamics, particularly in energy retrofit projects and ETO (Engineer-to-Order) infrastructure. Her work bridges theoretical frameworks like Transaction Cost Economics with practical applications in stakeholder coordination and network brokering. Articles Overview: Her publications emphasize mapping supply chain actors, analyzing broker roles in complex projects, and advancing systematic reviews of social network applications in operations management. Recent work (2024) addresses energy retrofit supply chains and prime contractor strategies. Awards: No specific awards listed. Advising & Grants: Accepts PhD students; no grants explicitly mentioned. Active in editorial roles, including the Journal of Supply Chain Management . Labs/Teams: Engaged in interdisciplinary collaborations on sustainable development goals (SDGs), particularly in retrofitting and modular building innovations.

• Medical Imaging Analysis
• Deep Learning
• Artificial Intelligence
• +۵ مورد دیگر

Dr. Laith Alzubaidi is a postdoctoral researcher at the School of Mechanical, Medical and Process Engineering , Queensland University of Technology (QUT) , Australia. He earned his Ph.D. in 2022 in medical imaging analysis with deep learning from QUT and a master’s degree in computer science from the University of Missouri (2016), USA. His research interests span medical imaging analysis , deep learning , artificial intelligence , and computational mechanics . He has contributed to advancements in bone fracture detection , skin cancer classification , IoT security frameworks , and physics-informed neural networks , with a focus on data fusion , adversarial attack detection , and real-time diagnostic systems . Dr. Alzubaidi has published over 53 refereed papers, garnered more than 3,700 citations, and led two special issues in reputed journals. His work involves global collaborations and grants for deep learning in medical applications . He reviews for 53+ journals, including IEEE Transactions on Medical Imaging and Information Fusion . Scientific Awards : Scholarship during master’s degree (University of Missouri) QUT scholarship for Ph.D. His recent publications highlight trends in AI-driven medical imaging , secure IoT networks , and physics-informed computational models . He has also explored trustworthy AI , reinforcement learning in healthcare , and explainable machine learning frameworks .

• Computational Fluid Dynamics
• Microfluidics
• Lattice Boltzmann Methods
• +۲ مورد دیگر

Professor Emilie Sauret holds an ARC Future Fellowship at QUT's School of Mechanical, Medical & Process Engineering. With a PhD in Turbulence Modelling from Sorbonne University, she develops computational methods for complex fluid systems. Research focus areas: Physics-informed neural networks for microfluidics Electrohydrodynamic control of fluid interfaces Biomedical applications of computational fluid dynamics Publications showcase interdisciplinary approaches to fluid dynamics, with recent advances in predictive modelling of lung deposition and microfluidic device optimization. Her work bridges fundamental physics with energy and biomedical applications. Leadership roles include council membership in the Australasian Fluid Mechanics Society. She has secured $8M in research funding and collaborates with MIT, NASA JPL, and industry partners.