جست‌وجوی استاد و پژوهشگر

Hayrettin Karayakaمشاهده پروفایل

استاد

• Renewable and Clean Energy
• Electric Power Systems
• Smart Grid Technology
• +۳ مورد دیگر

Hayrettin Karayaka is a Professor in the Department of Electrical Engineering at the College of Engineering and Technology, Western Carolina University. He leads initiatives to establish electric power engineering as a formal discipline within the institution, focusing on outreach, curriculum development, and recruitment. His research emphasizes renewable energy systems, smart grid technologies, and engineering education innovation. Dr. Karayaka holds a PhD in Electrical Engineering from The Ohio State University and prior industry experience in smart grid and wireless communication sectors. Education: PhD, Electrical Engineering, The Ohio State University MS, Control Systems/Electrical Engineering, Istanbul Technical University BS, Control Systems/Electrical Engineering, Istanbul Technical University Research Focus: Renewable Energy Integration (wave, nuclear, solar) Smart Grid Optimization and Control Advanced Energy Storage Solutions Engineering Education Methodologies His work combines machine learning applications with traditional engineering principles to enhance energy system efficiency and sustainability. Key Projects: Nuclear workforce development programs Mobile lab initiatives for sustainability education Wave energy converter hardware-in-the-loop simulations

Yangxiao Zhouمشاهده پروفایل

دانشیار

• Groundwater Monitoring and Modelling
• Groundwater Sustainability
• Groundwater-Surface Water Interactions
• +۴ مورد دیگر

Dr. Yangxiao Zhou is an Associate Professor at the International Institute of Hydraulic and Environmental Engineering (IHE Delft) since 1998. He specializes in hydrology and water resources, focusing on groundwater monitoring, sustainability, and surface-water interactions. His career includes roles as a visiting scholar at TNO (Netherlands), lecturer at IHE, and team leader for the Sana'a University Support project in Yemen (1994–1995). He teaches postgraduate courses in groundwater hydraulics, hydrogeostatistics, and applied modeling using MODFLOW/SEAWAT. His research emphasizes groundwater sustainability strategies, managed aquifer recharge, and environmental impact assessments in regions like China, Mozambique, Vietnam, and Palestine. Education & Teaching: Dr. Zhou leads curriculum development for MSc programs and delivers international short courses on hydrology, groundwater modeling, and monitoring network design. His teaching spans analytical solutions for groundwater flow, Kriging methods, and contaminant transport modeling. Research Trends: Recent publications address groundwater irrigation dynamics in arid zones, climate change impacts on aquifers, and sustainable development in coastal regions. He employs numerical models (e.g., MODFLOW) to simulate aquifer behavior and policy frameworks for resource management. Grants & Projects: He has led large-scale projects on groundwater sustainability in Beijing, Vietnam’s Mekong Delta, and Gaza’s coastal aquifers. His work bridges academic research with practical solutions for water scarcity and environmental challenges.

• Distributed Systems
• Edge Computing
• Serverless Computing
• +۴ مورد دیگر

Stefan Nastic is an Assistant Professor at the Technische Universität Wien (TU Wien), affiliated with the Faculty of Informatics and the Distributed Systems department. He serves as Curriculum Coordinator for the Master’s program in Distributed and Next Generation Computing, and is a Substitute Member of the Curriculum Commission for Informatics. His research focuses on distributed systems, edge computing, serverless computing, IoT, and smart cities. He holds a PhD in IoT cloud systems (2016) and a BSc (not explicitly stated). Key research contributions include frameworks for serverless edge-cloud continuum (e.g., HyperDrive, GoldFish), federated learning applications (e.g., adaptive human activity recognition), and IoT infrastructure governance (e.g., Polaris Scheduler). He leads projects like RapidREC (2023–2025) on supply chain optimization and participates in initiatives like TEADAL (2022–2025) for edge-cloud workflows. Publications span 30+ peer-reviewed articles in top venues like IEEE IoT, ACM, and IEEE Cloud. He supervises graduate students on stateful serverless functions, federated learning, and edge-cloud scheduling. His work addresses challenges in resource management, latency reduction, and scalable distributed systems.

Daniel Blankschteinمشاهده پروفایل

استاد

• Colloid and interface science
• Electrochemistry
• 2D nanomaterials
• +۵ مورد دیگر

Professor Daniel Blankschtein is the Herman P. Meissner (1929) Professor in the Department of Chemical Engineering at MIT. His research focuses on colloid and interface science, with applications in energy, nanotechnology, and biomedical engineering. He has pioneered studies on surfactant systems, 2D nanomaterials (e.g., graphene, carbon nanotubes), and interfacial phenomena involving electronic polarization effects. Blankschtein has authored over 230 publications and 15 patents, and his textbook Lectures in Classical Thermodynamics with an Introduction to Statistical Mechanics (2021) synthesizes decades of teaching expertise. Education: PhD (1983), MSc (1979), BSc (1977) in Chemical Engineering from Tel-Aviv University. His awards include the Capers and Marion McDonald Award (2015) and multiple MIT Outstanding Faculty Awards. He leads the DB Group, which develops theoretical and experimental frameworks for nanomaterials and surfactant systems, with applications in water desalination, drug delivery, and energy storage. Research highlights include molecular simulations of water slip flow in carbon nanotubes, ion adsorption at solid-water interfaces, and surfactant-mediated stabilization of nanomaterials. His work bridges fundamental thermodynamics with practical engineering solutions, emphasizing pedagogy and mentorship. Recent projects explore polarization-driven interfacial effects and nanoconfined fluid behavior. Lab Group: DB Group at MIT ChemE Key Collaborations: MIT Energy Initiative, National Science Foundation Grants: Seed grants for energy storage and nanomaterials research

Kasper Jessenمشاهده پروفایل

استادیار

• Power Electronics
• DC Microgrids
• Solid Oxide Electrolysis
• +۳ مورد دیگر

Kasper Jessen is an Assistant Professor at Aalborg University's Faculty of Engineering and Science, affiliated with the Esbjerg Energy Section. He holds a Master's in Sustainable Energy Engineering (Offshore Energy Systems, 2018) and a Bachelor's in Energy Engineering (Dynamic Systems, 2016). His research focuses on sustainable energy technologies with emphasis on power electronics, microgrid stability, and solid oxide electrolysis systems. Primary research domains include: Design and control of DC microgrid infrastructure Robust power conversion for renewable energy systems Real-time simulation of electrochemical processes Advanced control algorithms for power-to-X applications Dynamic modeling of solid oxide electrolyzers His recent publications (2023-2024) demonstrate strong focus on microgrid stability solutions, real-time emulation of electrolysis systems, and advanced control schemes for power converters. Research consistently addresses renewable integration challenges through experimental validation and simulation. Currently leads or contributes to several major projects: Control and Protection of DC Microgrids (PI, ongoing since 2019) BlueBARGE : Renewable electricity for maritime applications (EU Commission, 2024-2026) Robust And Dynamic Electrolysis for Power-to-X (2024-2027) EMPOWER : Sustainable batteries for zero-emission transport (2022-2025) DynEfuel : Dynamic eFuel production technology (2023-2025)

• Heterogeneous Catalytic Processes
• Process Design and Optimization
• Photocatalytic Processes
• +۳ مورد دیگر

Roles and Affiliations: Ilenia Rossetti is a Full Professor of Chemical Industrial Plants at the Department of Chemistry, University of Milan. She has held leadership roles, including Director of the Analysis Lab and member of various scientific commissions. She coordinates national research projects funded by MUR, Regione Lombardia, and Fondazione Cariplo. Education: Bachelor's (1998): Industrial Chemistry, University of Milan (summa cum laude) PhD (2001): Industrial Chemistry, University of Milan Master's (2016): Chemical Engineering, Politecnico di Milano (110/110) Research Focus: Her work centers on catalytic processes , process design and optimization , photocatalytic systems , and nanostructured materials . Key areas include CO₂ conversion to fuels, hydrogen production, and sustainable energy solutions. She explores high-pressure CO₂ photoreduction, flame-synthesized catalysts, and reactor engineering for renewable processes. Publications and Impact: Over 70 articles since 2021 highlight her contributions to CO₂ methanation, photocatalytic CO₂ reduction, and bioethanol valorization. Her work bridges lab-scale innovations and industrial-scale processes. Awards: Chiusoli Medal (2016): For multidisciplinary CO₂ utilization research. ENI Award (2008): For innovative photocatalytic methods. Parmaliana Prize (2018): For outstanding PhD supervision in catalysis. Advising and Collaboration: Supervised multiple award-winning PhD theses. Collaborates with industries (ENI, BASF) and institutions (Italian Chemical Society) on sustainable processes. Leads projects on CO₂ capture/utilization and biofuel conversion. Labs and Teams: Oversees the Analysis Lab at the Department of Chemistry. Her interdisciplinary team focuses on photocatalytic reactors, nanomaterial synthesis, and process modeling.

Christof Büskensمشاهده پروفایل

استاد

• Optimization
• Optimal Control
• Control Systems
• +۵ مورد دیگر

Prof. Dr. Christof Büskens is a Professor of Technomathematics at the University of Bremen, leading the AG Optimierung und Optimale Steuerung (Optimization and Optimal Control Group) within the Faculty of Mathematics and Computer Science . His research focuses on Optimization, Optimal Control, and their applications in industrial and real-time systems. He holds leadership roles in interdisciplinary projects such as BESTVILLE and Safety Control Center for autonomous vehicle systems, and has contributed to maritime navigation, renewable energy management, and agricultural robotics. Büskens has supervised numerous PhD and master's students, advancing topics like autonomous exploration, neural architecture search, and trajectory optimization. His work integrates advanced numerical methods with practical applications, emphasizing real-world problem-solving in dynamic systems. Key affiliations include the ZeTeM (Center for Industrial Mathematics) and collaborations with industry partners. He has led over 20 projects since 2020, addressing challenges in autonomous systems, energy systems, and robotics. His educational contributions include courses on numerical analysis and optimal control, fostering interdisciplinary training for future researchers. Büskens' expertise bridges theoretical optimization and applied engineering, with over 100 publications and contributions to software tools like the WORHP solver.

Jiabin Luoمشاهده پروفایل

مدرس ارشد

• Transportation and Logistics
• Maritime Shipping and Port Operations
• Production Planning and Inventory Management
• +۵ مورد دیگر

Dr. Jiabin Luo is a Senior Lecturer in Business Analytics at Aston University's Aston Business School, within the College of Business and Social Sciences. She holds a PhD in Management Science from the University of Southampton and has held academic and research roles at institutions including Coventry University and De Montfort University. Her research focuses on optimization and decision-making in logistics, supply chain management, maritime shipping, and production planning. She is Programme Co-Director of the MSc Degree Apprenticeship in Digital & Technology Solutions Specialist. Education: PhD in Management Science, University of Southampton, UK MSc in Risk and Stochastics, London School of Economics and Political Science, UK MSc in Statistics, University of Nottingham, UK BSc in Mathematics, Zhongshan University, China PGCert in Learning and Teaching in Higher Education Research Interests: Transportation and logistics optimization Maritime shipping and port operations Production planning and inventory management Supply chain management and sustainability Fuzzy optimization and scenario-based modeling Recent Research Trends: Her work emphasizes optimization techniques in logistics systems, including automated container terminals, intermodal transport, and risk management. Recent articles explore machine learning for credit risk prediction and geospatial analysis of traffic datasets. Awards and Memberships: Fellow of The Higher Education Academy Member of The Operational Research Society Member of British Academy of Management Grants and Collaborations: Newton Researcher Links: Strategy & Policy Innovation in Supply Chain Management (2018) Newton Researcher Links: Emission Control in Green Port Development (2017) EPSRC Grant: Resilience of Manufacturing Supply Networks (2013–2016)

Wen Dongshengمشاهده پروفایل

عضو هیئت علمی

• Heat Transfer
• Multiscale Experimentation
• Reaction Engineering
• +۶ مورد دیگر

Prof. Wen Dongsheng is the Chair Professor and Head of the Institute of Thermodynamics at Technical University of Munich (Germany). He holds adjunct professorships at the University of Leeds (UK) and Beihang University (China). His research focuses on multiscale heat transfer mechanisms in nanomaterials, with applications in energy and aerospace engineering. Key areas include solar energy systems, nanofuel combustion, and nanoparticle interactions with electromagnetic radiation. Education: BEng in Aeronautics (Beihang University), MSc in Thermophysics (Tsinghua University), DPhil in Engineering Science (University of Oxford). Research Interests: Heat production/transport/storage, multiscale experimentation/simulation, nanomaterial-based energy solutions. Specific applications include solar energy optimization, nanomedicine, and oil/gas engineering innovations via nanoparticle-driven technologies. Editorial Roles: Editor-in-Chief of Advance in Aerodynamics , Associate Editor of Applied Thermal Engineering . Awards include Fellowships from the Royal Society of Chemistry and Energy Institute, and the MIC-Particuology Award. Publications: Over 350 referred papers, 20 patents, with an H-index of 65. Research emphasizes cross-disciplinary applications of nanotechnology in energy systems and aerospace.

Sylvie Lorenteمشاهده پروفایل

استاد

• Thermal engineering
• Heat transfer
• Design in nature
• +۸ مورد دیگر

Sylvie Lorente is a Professor at Villanova University (College of Engineering, Department of Mechanical Engineering). She holds concurrent positions as Professor (Exceptional Class) at INSA Toulouse (France), Extraordinary Professor at the University of Pretoria (South Africa), and Adjunct Professor at Duke University (USA). Her academic career includes past roles at Hong Kong Polytechnic University, Shandong Academy of Sciences, and Pontificia Universidad Catolica (Chile). Research Interests: Her work centers on thermal engineering, heat transfer, and the Constructal Law, which governs the design of flow systems in nature and technology. She explores evolutionary design, sustainability, and energy-efficient systems for buildings and urban environments, mass transfer, and applications of dendritic flow networks to thermochemical energy storage, battery thermal management, and bio-based materials. Key Trends in Publications: Recent articles focus on optimizing battery thermal management using constructal canopy-to-canopy designs, phase change materials (PCM) for cooling and energy storage, hierarchical capillary networks for evaporative cooling, and fluid flow architectures in porous media. Her work bridges thermodynamics, materials science, and sustainable design. Scientific Awards: Order 'Chevalier de l’Ordre National du Mérite' (2015, French Government) PROSE Award for 'Design with Constructal Theory' (2009, American Association of Publishers) Order 'Les Palmes Académiques' (2008, France) James P. Hartnett Memorial Award (2007, American Society of Mechanical Engineers) Intelligent Optimal Design Prize (2006, CADLM) Bergles-Rohsenow Young Investigator in Heat Transfer Award (2005, ASME) Edward F. Obert Award (2004, ASME)

Andrew Randallمشاهده پروفایل

استاد

• Environmental Engineering
• Wastewater Treatment
• Biological Nutrient Removal
• +۵ مورد دیگر

Andrew Randall is a Professor and Graduate Program Director in the Department of Civil, Environmental, and Construction Engineering at the University of Central Florida, College of Engineering and Computer Science. He has been a faculty member at UCF since 1994, contributing significantly to environmental engineering education and research. Education: Bachelor of Science in Civil Engineering, Virginia Tech (1984) Master of Science in Civil Engineering, Virginia Tech (1987) Doctor of Philosophy, Auburn University (1993) Dr. Randall's research focuses on advanced wastewater treatment technologies, particularly in biological nutrient removal, sludge fermentation, high-rate activated sludge systems, and water recycling . His work integrates process optimization, modeling, and sustainable resource recovery from waste streams. He has made significant contributions to understanding intracellular storage mechanisms and microalgal-integrated treatment systems. His recent publications reflect a strong trend toward resource recovery, energy efficiency, and sustainable water reuse , with applications in municipal and military contexts. The studies span from lab-scale fermentation optimization to full-system modeling and toxicity evaluation, showcasing a systems-level approach to environmental engineering challenges. Scientific Awards: UCF Teaching Incentive Program Award (2010) UCF CEE Department Excellence in Undergraduate Teaching Award (2007) Journal of Environmental Engineers (ASCE) Editor Award for Service (2004) Outstanding Young Alumni Award, Virginia Tech (2002) Dr. Randall has actively advised graduate students, including Sultan K. Salamah and T.M. Nogaj, and has served on numerous thesis committees. His research has been supported through institutional and professional recognition, though specific grant details are not provided in the text. He is a key figure in graduate education as the Graduate Program Director, shaping curriculum and student development. His work often involves interdisciplinary collaboration, particularly in developing integrated biological systems for water treatment and reuse, including microalgal-based processes and high-rate activated sludge. These efforts align with emerging trends in circular economy and low-carbon technologies in the water sector.

• Marine Biogeochemical Modeling
• Ocean Carbon Cycle
• Ocean Deoxygenation
• +۹ مورد دیگر

Andreas Oschlies is a Professor of Marine Biogeochemical Modeling at GEOMAR Helmholtz Centre for Ocean Research Kiel, where he leads the Biogeochemical Modeling Research Unit. He has held faculty positions since 2006 at GEOMAR and previously at the National Oceanography Centre Southampton. His research spans ocean carbon and oxygen cycles, climate change impacts, and marine carbon dioxide removal (CDR), with a strong emphasis on Earth system modeling and biogeochemical processes. His primary research interests include marine biogeochemical modeling, ocean deoxygenation, climate engineering, carbon dioxide removal, ocean modeling, and the marine nitrogen cycle. His work integrates numerical modeling, data assimilation, and interdisciplinary policy-relevant science to assess climate intervention strategies and their biogeochemical consequences. The 15 most recent articles highlight a strong focus on marine carbon dioxide removal, particularly ocean alkalinity enhancement and artificial upwelling, as well as ocean deoxygenation, carbon cycle feedbacks, and Earth system modeling. His publications frequently appear in high-impact journals such as Nature Communications , Environmental Research Letters , and Biogeosciences , reflecting a consistent trend toward understanding climate intervention technologies and their environmental trade-offs. Scientific Awards: Georg-Wüst Preis (2011) Andreas Oschlies has played key advisory and leadership roles in national and international scientific initiatives. He has coordinated the DAM Research Mission 'Marine Carbon sinks in Decarbonization Pathways', the Global Ocean Oxygen Decade (GOOD) under the UN Ocean Decade, and the European Marine Board Working Group on Marine Carbon Dioxide Removal. He was coordinator of the DFG SPP 1689 on Climate Engineering and has served on scientific advisory boards for institutions including the Leibniz Institute for Baltic Sea Research and the Institute for Chemistry and Biology of the Sea. He has also co-edited journals such as Ocean Modelling and JAMES , underscoring his influence in the modeling community. He leads a major research unit at GEOMAR focused on developing and applying biogeochemical models to study ocean-climate interactions. His team works on data assimilation, parameter optimization, and the representation of mixing processes in numerical models, contributing to global efforts in climate prediction and carbon cycle assessment.

Vladan Vuleticمشاهده پروفایل

استاد

• Quantum Optics
• Quantum Computing
• Precision Measurements
• +۶ مورد دیگر

Professor Vladan Vuletic is the Lester Wolfe Professor of Physics at the Massachusetts Institute of Technology (MIT), affiliated with the Research Laboratory of Electronics (RLE) and the MIT-Harvard Center for Ultracold Atoms. His work focuses on experimental atomic physics, particularly quantum optics and many-body quantum systems. Education: Diplom in Physics (1992, Ludwig-Maximilians-Universität München), Ph.D. in Physics (1997, summa cum laude, LMU München) Research interests include: Entanglement of many-body systems to surpass the standard quantum limit in measurements Spin squeezing for enhanced atomic clock precision Photon-photon interactions via strongly coupled atom-cavity systems Quantum simulation and computation with cold atoms His publications demonstrate expertise in quantum nonlinear optics, cavity quantum electrodynamics, and precision metrology. Recent work explores topological charge vectors in quasicrystals (2025), atom-by-atom assembly techniques (2016), and single-atom nanophotonic switches (2014). Scientific Recognition: Named AAAS Fellow (2023) Current research involves experimental implementations of quantum phase switches, all-optical transistors, and quantum simulators with cold atom arrays. He leads a research group within MIT's Department of Physics and is associated with multiple quantum science initiatives.

Xavier Prat-Resinaمشاهده پروفایل

دانشیار

• Chemistry Education
• Biochemistry Education
• Visual Literacy
• +۴ مورد دیگر

Xavier Prat-Resina serves as an Associate Professor within the Center for Learning Innovation (CLI) at the University of Minnesota Rochester (UMR), where his office is located at 318 Commons in Rochester, Minnesota. His academic profile reflects a dedicated career bridging computational chemistry foundations with contemporary educational innovation, actively contributing to undergraduate chemistry and biochemistry instruction through evidence-based pedagogy and learning analytics. His educational trajectory demonstrates deep disciplinary expertise: Bachelor of Science in Chemistry, University of Barcelona Master of Science in Theoretical Chemistry, University of Barcelona Doctor of Philosophy in Chemistry, University Autonoma of Barcelona Dr. Prat-Resina's research program centers on visual literacy development in chemical sciences, investigating how students mentally organize biochemical knowledge and translate between representational forms. His work examines cognitive load during modeling activities, the structure of students' neural networks for protein/nucleic acid concepts, and the impact of data-driven approaches like ChemEd X Data on higher-order thinking. This scholarship reveals a strategic evolution from early computational enzymology studies toward pioneering contributions in learning analytics and curriculum design, with particular focus on vertical and horizontal translation skills across undergraduate chemistry curricula. Analysis of his 15 most recent publications (2018-2023) shows a cohesive research trajectory emphasizing educational measurement and tool development. The work systematically addresses visual literacy skill acquisition through neural network analysis, demographic comparisons of learning progression, and cognitive load assessment in modeling activities. His publications consistently connect theoretical frameworks with practical classroom applications, notably through platforms like BoSCO and Models360 that bridge analytics with curriculum design. No scientific awards were documented in the provided materials, though his contributions to educational tool development represent significant scholarly impact. His advising and grant activities center on developing learning analytics infrastructure, including the BoSCO platform for curriculum designers and ChemEd X Data for student engagement with open scientific datasets. These initiatives demonstrate sustained commitment to evidence-based pedagogy and cross-departmental collaboration in science education. Dr. Prat-Resina actively participates in the ChemEd community through web platform development and interdisciplinary curriculum projects, focusing on quantitative reasoning integration and structure-property relationship instruction. His current work emphasizes data-informed approaches to visualize and optimize learning pathways across chemistry and biochemistry programs.

Gilles Peslherbeمشاهده پروفایل

استاد

• Computational Chemistry
• Molecular and Reaction Dynamics
• Nanomaterials and Materials Engineering
• +۸ مورد دیگر

Gilles Peslherbe is a Professor at Concordia University, cross-appointed in the departments of Chemistry and Biochemistry , Physics , and Chemical and Materials Engineering . He leads the Centre for Research in Molecular Modeling (CERMM) and supervises graduate students in programs spanning Chemical Engineering, Chemistry, Physics, and Nanoscience. PhD in Physical Chemistry with Minor in Computer Engineering (Wayne State University, USA) Diplôme d'Ingénieur Chimiste (Ecole Supérieure de Chimie Industrielle de Lyon, France) His research integrates computational chemistry , quantum mechanics , and machine learning to model chemical processes in extreme conditions, drug delivery systems, and environmental impact assessments. Collaborative projects include studies on spin catalysis , nanostructured materials , and RNA structure fundamentals . Recent publications highlight applications of artificial intelligence in therapeutics development , density-functional theory in nanomaterials , and ultrasfast spectroscopy in electron solvation . His work bridges quantum computing and biological simulations . Teaching includes courses on quantum theory , computational chemistry , and statistical mechanics . He actively seeks students for ongoing projects in chemical interactions in extreme conditions and environmental remediation .