جست‌وجوی استاد و پژوهشگر

• Materials Science
• Corrosion Engineering
• Alloy Design
• +۵ مورد دیگر

Dr. Hao Shi is a Researcher at the Max Planck Institute for Sustainable Materials in Düsseldorf, Germany, within the Department of Microstructure Physics and Alloy Design. His research focuses on advanced alloy design, corrosion mechanisms in extreme environments, and materials for energy applications. Key areas include high-entropy alloys, hydrogen embrittlement, molten salt corrosion, and lightweight steel development. His work integrates cutting-edge materials characterization techniques with computational modeling to optimize alloy performance under high-temperature, corrosive, and mechanically demanding conditions. Recent studies emphasize corrosion resistance in molten salts for concentrated solar power systems and nuclear reactor environments. Dr. Shi's publications highlight innovations in alloy microstructure-tuning for enhanced mechanical properties, corrosion mitigation strategies in multi-component systems, and the application of additive manufacturing in alloy development. Contact: h.shi@mpg.de | Phone: +49 211 6792 366

Katie Mooreمشاهده پروفایل

مدرس ارشد

• Materials Science
• Nanotechnology
• Corrosion Science
• +۴ مورد دیگر

Dr. Katie Moore is a Senior Lecturer in Materials Characterisation at the University of Manchester's Department of Materials and the Undergraduate Programme Director for Materials Science and Engineering. She specializes in NanoSIMS (Nanoscale Secondary Ion Mass Spectrometry) analysis, focusing on hydrogen detection in metals and trace element uptake in crops. Her work bridges materials science and environmental biology, addressing challenges in corrosion-resistant alloys and crop nutrition. Education: MEng in Materials Science, University of Oxford (2007) D.Phil in Materials Science, University of Oxford (2011) Fellow of the Higher Education Academy (2019) Research Interests: Katie’s research explores: Hydrogen embrittlement mechanisms in steel, nickel, and zirconium alloys Zirconium oxidation and hydrogen pickup using isotopic tracers Trace element dynamics in crops (e.g., arsenic in rice, iron in wheat) Her techniques include NanoSIMS, atom probe tomography, and correlative microscopy. Scientific Awards: 3rd place, IOM3 Young Person’s World Lecture Competition (2010) IOM3 Young Person’s Lecture Competition UK Winner (2010) Rank Prize Funds Nutrition Committee Prize for Best Contributed Paper (2016) Grants & Projects: CROPNUT : Enhancing iron and zinc in cereals (2017–2020) Hydrogen and Oxygen diffusion in nuclear zirconium alloys (2015–2019) High-resolution techniques for hydrogen uptake in corrosion-resistant alloys (2014–2021) Labs & Teams: Katie leads the NanoSIMS Group and collaborates with the Photon Science Institute. She also chairs committees for the UK Surface Analysis Forum.

Mark Lawrenceمشاهده پروفایل

استاد

• Climate Change
• Climate Geoengineering
• Air Pollution
• +۳ مورد دیگر

Prof. Mark Lawrence is the Scientific Director at the Research Institute for Sustainability (RIFS) at GFZ in Potsdam. He is an atmospheric scientist with expertise in interdisciplinary and transdisciplinary approaches to Anthropocene challenges, including climate change, geoengineering, and governance of vulnerable regions. He holds a Ph.D. from Georgia Tech and has held roles at the Max Planck Institute for Chemistry, University of Mainz, and IASS. With over 180 publications and an h-index of 75, he leads international projects and serves on key sustainability councils. His research focuses on air pollution, climate policy, and sustainable development. Education: Ph.D. in Atmospheric Science from Georgia Institute of Technology (1996). Research Interests: Climate geoengineering, air pollution, sustainability governance, transdisciplinary methods, and the intersection of spirituality and planetary health. Notable Projects: Co-chair of the Science Platform Sustainability 2030, leader of the SusKat project in Nepal, and contributor to global climate negotiations research. His work emphasizes inclusive dialogue spaces at COP events and policy advice for net-zero strategies. Awards: Honorary Professor at the University of Potsdam (2014). Grants & Advisory Roles: Member of the German Sustainability Council and steering committees for sustainability networks. Led international initiatives like the Geoengineering Model Intercomparison Project (GeoMIP). Labs/Teams: Heads RIFS and directs transformative research groups focusing on climate governance, urban air quality, and Arctic research.

• Computational Materials Science
• Condensed Matter Physics
• Density Functional Theory
• +۳ مورد دیگر

Dr. Xiangyuan Carl Cui is a Research Fellow in Computational Methods at the Australian Centre for Microscopy and Microanalysis and the School of Aerospace, Mechanical and Mechatronic Engineering at the University of Sydney. He holds a PhD from the University of Salford (UK). His research focuses on computational simulations of advanced materials using density functional theory (DFT) and molecular dynamics, particularly in understanding atomic-scale phenomena in materials such as perovskites, alloys, and nanomaterials. His work bridges microscopy data with computational modeling to optimize material properties for applications in energy, electronics, and structural engineering. Key research interests include grain boundary engineering in metals, defect control in perovskite solar cells, and the development of novel functional materials through computational design. Cui has contributed to high-impact studies on titanium alloys, shear thickening fluids, and additive manufacturing processes. His publications (2025–2010) span topics such as perovskite solar cell stability, nanomaterial magnetism, and alloy microstructure optimization. He collaborates extensively with experimentalists to validate computational findings, emphasizing interdisciplinary approaches in materials science.

John Bullockمشاهده پروفایل

استاد

• Inorganic Chemistry
• Electrochemistry
• Solar Energy Conversion
• +۳ مورد دیگر

John Bullock is a Professor of Chemistry at Bennington College , where he has taught since 2002. His research focuses on the electrochemistry of transition metal photocatalysts and the development of sustainable energy conversion methods. Bullock is also deeply committed to reforming undergraduate chemical education by integrating general and organic chemistry curricula. Education: BA, State University of New York, Plattsburgh PhD, University of Minnesota Postdoctoral, University of Washington Research Interests: Bullock's work investigates the reactivity of short-lived electrogenerated species, particularly in the context of solar energy applications. He explores how steric and electronic effects influence electrochemical processes in transition metal complexes and advocates for a unified approach to teaching chemistry without subdisciplinary boundaries. Publication Trends: His research spans electrochemistry, inorganic chemistry, and sustainable energy. Key subfields include catalysis, solar fuel generation, ligand reactivity, and electrochemical mechanisms. He has also contributed to pedagogical reforms in chemical education. Administrative Roles: Bullock served as Associate Dean for Faculty Affairs (2018-2021) and Acting Provost (2019-2021) before being appointed Dean of Faculty in July 2024 and Vice President for Academic Affairs in July 2025.

Marta Vallésمشاهده پروفایل

پژوهشگر

• Perovskite Solar Cells
• Inorganic Perovskites
• Photovoltaic Materials
• +۳ مورد دیگر

Marta Vallés is a Researcher at the Institute of Advanced Materials (INAM) , affiliated with Jaume I University in Spain. She specializes in perovskite solar cells and optoelectronic devices. Education: BSc in Chemistry (2015), Universitat Jaume I MSc in Applied Physics (2016), Universitat Jaume I PhD in Science (2016–2021), INAM Her research focuses on inorganic perovskite materials , including quantum dots, halide exchange methods, and stability optimization for photovoltaic applications. Key contributions include studies on device hysteresis , impedance spectroscopy , and environmental impacts on fabrication . Her recent publications highlight advancements in nonlinear optical properties and up-converting nanospheres , emphasizing cost-effective and sustainable processing techniques.

Maryam Borgheiمشاهده پروفایل

پژوهشگر

• Carbon materials
• Lignocellulose
• Catalysis
• +۶ مورد دیگر

Maryam Borghei serves as Academic Coordinator in the Department of Applied Physics at Aalto University, Finland. Her research focuses on sustainable materials development with significant contributions to nanocellulose applications and biowaste valorization. Her educational background includes: Doctoral degree in Engineering and Technology from Aalto University (awarded May 22, 2015) Master's degree in Engineering and Technology from Tarbiat Modares University (awarded October 13, 2009) Dr. Borghei's research spans Carbon materials, Lignocellulose, and Catalysis with strong emphasis on Biomass conversion and energy storage technologies . Her fingerprint analysis reveals dominant expertise in Nanocellulose (51%) , Carbon Nanotubes (76%) , and Nanofibers (63%) . Recent work demonstrates increasing focus on practical applications including medical diagnostics, sustainable energy storage, and advanced manufacturing. Analysis of her publication trajectory shows evolution from fundamental materials research toward applied solutions. Her most recent work integrates nanocellulose with biowaste components to create functional materials for 3D printing, medical testing, and flexible electronics. The consistent theme across her portfolio is transforming renewable resources into high-performance materials. Her research contributes to UN Sustainable Development Goals related to sustainable development and clean energy. Dr. Borghei has supervised at least two theses and maintains extensive international collaborations. Her work appears in high-impact journals including Cellulose , Additive Manufacturing , and Chemical Engineering Journal , demonstrating both academic rigor and practical relevance. Current research focuses on developing nanocellulose-based platforms for medical diagnostics, energy storage devices using biowaste-derived components, and sustainable manufacturing processes that eliminate energy-intensive drying steps.

• Machine Learning
• Financial Econometrics
• Graph Neural Networks
• +۵ مورد دیگر

Professor Dantong Yu is the Director of the Center for Big Data and a Professor at the Martin Tuchman School of Management at New Jersey Institute of Technology (NJIT). His research focuses on interdisciplinary applications of machine learning, financial econometrics, and high-performance computing. He leads the Terapaths project, a DOE-funded initiative developing QoS data sharing infrastructure for petascale computing. His work bridges computational methods with domains like finance, healthcare, and particle physics. Key research areas include graph neural networks for asset pricing, tensor completion algorithms for financial data integration, and FPGA-based real-time triggering systems for experiments such as sPHENIX. His studies on equity pricing leverage signed graph Laplacians, while his work on ESG disclosure impacts IPO survival analysis. Collaborations span institutions like ATLAS and sPHENIX, emphasizing data-driven solutions for complex scientific challenges. Recent publications highlight innovations in embedding imputation via self-supervised GNNs, neural network pruning for efficiency, and solar irradiance forecasting using cloud tracking. His federally funded projects address petascale data transfer and QoS optimization. Media highlights include contributions to cosmic physics research and financial market modeling. Advising and grants include DOE sponsorship for petascale infrastructure. He participates in interdisciplinary teams at NJIT’s Center for Big Data and contributes to courses like FIN 410, integrating machine learning into finance education.

Jennifer Ogilvieمشاهده پروفایل

استاد

• Biophysics
• Quantum Biology
• Photosynthesis
• +۳ مورد دیگر

Jennifer Ogilvie is a Professor of Physics and Biophysics at the University of Michigan. Her research focuses on energy transfer mechanisms in natural and artificial photosynthetic systems, with a particular emphasis on understanding quantum coherence effects and their role in optimizing energy conversion efficiency. She leads a team developing advanced spectroscopic tools, including a spatially-resolved two-dimensional electronic microscope, to map energy migration in photosynthetic bacteria and organic photovoltaic materials. Her work bridges biophysics, quantum biology, and material science, aiming to uncover principles that could inspire next-generation solar energy technologies. Key contributions include studies on bacterial reaction centers, photosystem II dynamics, and the application of ultrafast spectroscopic techniques to probe charge transfer in organic donor-acceptor systems. Recent findings include insights into how light-harvesting antennae adapt to varying light conditions and how coherence influences energy transfer efficiency. Collaborations involve interdisciplinary teams exploring both fundamental biological processes and applied materials engineering. Her research has been supported by grants such as the MURI program, and she mentors graduate students like Yassel Acosta and postdoctoral researchers like Vivek Tiwari. While no individual awards are explicitly mentioned, her contributions have been highlighted in major institutional news and interdisciplinary collaborations.

• Human Geography
• Territorial Dynamics
• Renewable Energy Landscapes
• +۳ مورد دیگر

Cayetano Espejo Marin is a Professor at the Department of Geography within the Faculty of Arts and Humanities at the University of Murcia. He holds a Ph.D. from the University of Murcia with a thesis on 'La ganadería en la región de Murcia' (1994), supervised by Dr. José Luis Andrés Sarasa. His research focuses on human geography, territorial dynamics, renewable energy landscapes, and sustainable tourism. His work explores the intersection of energy systems (e.g., solar, wind, and biomass) with territorial planning, emphasizing environmental and socioeconomic impacts. He also investigates heritage education's role in tourism and regional development strategies for inland destinations. Recent studies analyze the transformation of Lorca into a post-industrial tourism hub and the integration of renewable energy infrastructure into landscapes. Key research groups include COLUMNARIA (History and Territorial Dynamics of the Iberian Worlds) and Dinámicas Territoriales: Análisis y Ordenación. His publications span over three decades, addressing topics from historical agricultural systems to modern energy policies and cultural tourism.

Qing-Chang Zhongمشاهده پروفایل

استاد

• Power Electronics
• Smart Grids
• Renewable Energy Integration
• +۲ مورد دیگر

Dr. Qing-Chang Zhong is the Max McGraw Endowed Chair Professor of Energy and Power Engineering and Management at Illinois Institute of Technology's Armour College of Engineering, with joint appointment in Electrical and Computer Engineering. As founder/CEO of Syndem LLC, he leads research in smart grid architectures, power converter control, and renewable integration, with seminal contributions to Virtual Synchronous Machine (VSM) technology cited in U.S. Congressional hearings. Education includes dual PhDs: Control and Power Engineering from Imperial College London (2004) and Control Theory from Shanghai Jiao-Tong University (2000), complemented by MSc (Hunan University, 1997) and engineering diploma (Xiangtan Institute, 1990). Research develops power-electronics-enabled autonomous power systems via the SYNDEM (Synchronized-and-Democratized) architecture. Core innovations include universal droop control, self-synchronized inverters, and bounded stability frameworks. Work fundamentally addresses grid stability in converter-dominated renewable-rich systems through novel control paradigms. Publications show consistent focus on grid-forming control strategies across 200+ papers. Recent works emphasize experimental validation and practical implementations, while foundational contributions established VSM architectures. The trajectory demonstrates evolution from theoretical frameworks to field-deployable solutions for next-generation grids. Honors include IEEE and IET fellowships, with inventions recognized as "game changers" for grid modernization. As IEEE Standard 2988-2024 chair, developed the first international VSM specifications. Student researchers received IET Dissertation Awards and Chinese National Outstanding Student awards under his mentorship. Entrepreneurial leadership includes commercialization through Syndem LLC, securing federal grants for VSM product development. Policy impact includes technical advisory roles for UK Grid Code changes and U.S. DOE initiatives on grid-forming technologies.

• Solar Physics
• Space Weather
• Solar Eruptions
• +۳ مورد دیگر

Ju Jing is a Research Professor at the Center for Solar-Terrestrial Research, New Jersey Institute of Technology (NJIT). Their research focuses on solar dynamics, space weather, and machine learning applications in astrophysics. Jing leads multiple NSF-funded projects aimed at predicting solar eruptions, geomagnetic indices, and interplanetary magnetic fields using advanced AI techniques. Recent work emphasizes high-resolution observations of solar flares and coronal mass ejections (CMEs) using instruments like the 1.6-meter Big Bear Telescope and SDO/HMI. Research Interests : Solar active regions, magnetic reconnection processes, CME initiation mechanisms, and AI-driven space weather forecasting. Collaborations span institutions like NJIT, BBSO, and international observatories. Grants & Projects : Active NSF grants include SHINE (2023–2026), ANSWERS (2022–2026), and high-resolution solar eruption studies (2023–2028). Projects address magneto-thermal coupling, geomagnetic storm prediction, and non-force-free magnetic fields in active regions. Labs/Teams : Co-leads the Solar Eruptions and Machine Learning (SEML) group at NJIT’s Center for Solar-Terrestrial Research, focusing on interdisciplinary approaches to heliophysics.

• Solar Physics
• Space Weather
• Magnetic Fields
• +۶ مورد دیگر

Haimin Wang is a Professor in the Department of Physics at New Jersey Institute of Technology (NJIT). He holds dual roles as Director of the Institute of Space Weather Sciences and Distinguished Professor at the Ctr for Solar-Terrestrial Research. His research focuses on solar dynamics, space weather, and solar magnetic field studies. He leads multiple NSF-funded projects exploring solar eruptions, magnetic flux ropes, and AI-driven space weather forecasting. Roles: Director (Institute of Space Weather Sciences), Distinguished Professor (Physics) Key Affiliations: NJIT, Big Bear Solar Observatory (BBSO), Daniel K. Inouye Solar Telescope (DKIST) Notable Grants: 33 federal grants since 2001, including NSF-funded projects on AI for space weather and high-resolution solar observations Research Interests: Solar flares, coronal mass ejections, magnetic flux ropes, solar wind dynamics, and machine learning applications in heliophysics. His work combines observational data from instruments like SDO/HMI and GST with advanced computational models to understand explosive solar phenomena. Recent studies include predicting halo CMEs using transformer models and analyzing small-scale magnetic structures in the solar wind. Collaborations: International partnerships in solar physics, including joint projects with researchers in magnetic field analysis, solar eruption dynamics, and space environment forecasting. Key Projects: CyberTraining AI initiative, DKIST Critical Science Program, SHINE solar flare studies Labs/Teams: Institute of Space Weather Sciences, NJIT Space Weather Lab

• Machine Learning
• Space Weather
• Computer Science
• +۳ مورد دیگر

Jason Wang is a Professor in the Department of Computer Science at the New Jersey Institute of Technology (NJIT). His research focuses on applying machine learning and AI to space weather phenomena, including solar eruptions, coronal mass ejections, and magnetic flux ropes in the solar wind. He leads federal grants funded by the National Science Foundation (NSF), such as the AI-driven solar eruption forecasting project (CAIG) and the CyberTraining initiative for machine learning in space weather forecasting. Research Interests: Machine Learning for Astrophysics, Space Weather Prediction, Solar Physics, Data Mining, and AI-driven Modeling. Key projects include developing interpretable transformer models for flare forecasting and improving solar magnetogram analysis using deep generative models. Collaborations include work with international teams on solar telescope data and space weather applications. His recent work emphasizes operational forecasting systems and automated detection methods for solar phenomena.

• Biomass and Waste
• Energy and the Environment
• Hydrogen
• +۳ مورد دیگر

Dr. Sandun Dissanayake is a Research Fellow at Cranfield University's Centre for Energy Decarbonisation and Recovery. His research focuses on sustainable energy systems, low-carbon hydrogen, waste-to-energy technologies, and resource-efficient waste management. He integrates interdisciplinary approaches combining materials science, chemical engineering, and nanotechnology to develop circular and low-carbon solutions. Dr. Dissanayake's work emphasizes transforming laterite materials into cost-effective nanomaterials for industrial applications, such as adsorption systems and photocatalysts. His research bridges laboratory innovations with scalable technologies, aiming to advance decarbonization strategies and sustainable resource utilization. Key contributions include studies on laterite-derived nanoparticles (hematite, magnetite, akaganeite) for environmental and industrial applications. His publications span nanomaterial synthesis, composite materials, and green technologies, reflecting a commitment to addressing climate change through practical, scalable solutions.