Find Academic Supervisors

Suresh G. AdvaniView profile

Professor

• Clean Energy & Environment
• Composites & Advanced Materials
• Fluid Mechanics
• +5 more

Suresh G. Advani holds the Unidel Pierre S. du Pont Chair of Engineering at the University of Delaware. He earned his Ph.D. in Mechanical Engineering from the University of Illinois at Urbana-Champaign and a BTech in Mechanical Engineering from IIT Bombay. His research focuses on rheology, fluid mechanics, heat transfer, and composite processing, with applications to clean energy and advanced materials. He has authored over 350 journal papers, developed the Liquid Mold Filling Software (LIMS), and chairs the 2025 International Conference on Composite Materials. His honors include the American Society of Composites' Outstanding Researcher Award (2015) and the Society of Plastic Engineers' Educator of the Year award. Advani's expertise spans fluid mechanics, heat transfer, and materials engineering. His work addresses challenges in composite manufacturing, fuel cells, and hydrogen storage. He leads initiatives in energy-efficient manufacturing and sustainable composites, leveraging computational models and experimental validation. Notable projects include optimizing pyrolysis processes for carbon-carbon composites and enhancing PEM fuel cell membrane durability through novel chemical additives. His contributions to composite processing include advancing resin transfer molding (RTM) simulations, co-cure processes for honeycomb sandwich structures, and additive manufacturing techniques. He collaborates internationally, co-editing journals like Composites Part A and advising on industrial applications. His research bridges theoretical models with practical manufacturing solutions, emphasizing innovation in materials and energy systems.

• Neuroscience
• Pharmacology
• Toxicology
• +11 more

Assoc.-Prof. Dr. Marietta Zille is an Associate Professor at the University of Vienna , Faculty of Life Sciences, Department of Pharmaceutical Sciences. She leads the Cerebrovascular Pharmacology research group, focusing on novel therapies for stroke, brain hemorrhage, vascular dementia, and brain aging. Her work integrates advanced technologies like deep learning and in vitro models to study neuronal and vascular cell death mechanisms. University of Vienna, Faculty of Life Sciences Department of Pharmaceutical Sciences Cerebrovascular Pharmacology & Toxicology Research Interests include: Neurodegenerative disease etiology Stroke and hemorrhage pathophysiology Blood-brain barrier aging Ferroptosis and necroptosis Marine bioactives for neuroprotection Her recent publications span axonal degeneration (2025), blood-brain barrier aging (2025), microglial activation (2025), and SARS-CoV-2 vascular pathology (2024). She supervises Master’s thesis projects in cell culture, in silico modeling, and cerebrovascular research. Grants include Austrian Academy of Sciences (2024-2027), Hochschuljubiläumsfonds (2023), and BMBF projects (2018-2019).

Martin CrimpView profile

Professor

• Materials Science and Engineering
• Metallurgy
• Transmission Electron Microscopy
• +5 more

Professor Martin Crimp holds a tenure-track position in the Department of Chemical Engineering and Materials Science (ChEMS) at Michigan State University's College of Engineering. He specializes in deformation mechanisms of metals, intermetallic alloys, and high-temperature materials, with expertise in transmission electron microscopy and diffraction techniques. His research bridges fundamental materials science with applications in biomedical engineering and advanced manufacturing. Education: Ph.D., Materials Science (Case Western Reserve University, 1987); M.S. and B.S., Metallurgical Engineering (Michigan Tech, 1984/1981) Affiliations: Chemical Engineering and Materials Science Department; Materials Science and Engineering Program Research focuses on microstructural characterization of metals using electron channeling contrast imaging (ECCI), dislocation microscopy, and crystal plasticity modeling. Recent work includes developing 3D-printed bioactive ceramic scaffolds with antibacterial properties and investigating superconducting Nb cavities for particle accelerators. He has pioneered methodologies to quantify deformation processes near grain boundaries, integrating advanced microscopy with computational modeling. Publications emphasize materials' mechanical reliability under extreme conditions, including high-temperature creep and radiation effects. Notable contributions include modeling shear accommodation mechanisms in titanium alloys and advancing electron microscopy techniques for nanoscale defect analysis. Awards: Recognized in Who's Who in Engineering Education (2002) Active in interdisciplinary collaborations, his lab explores biomedical materials for orthopedic applications and energy-related materials for nuclear and accelerator technologies. Current projects include U.S. Department of Energy-funded studies on deformation-induced damage in hexagonal metals.

• Structural Health Monitoring
• Wind Energy
• Renewable Energy Systems
• +3 more

Dr. Wei Jiang is a Research Associate in Mid-Infrared Lasers and Detectors at the School of Electrical and Electronic Engineering, University of Sheffield. His work focuses on advancing population-based structural health monitoring (SHM) techniques, particularly for wind energy systems. He specializes in integrating spatial autoregressive models, sensor networks, and environmental data analysis to optimize wind farm performance and detect structural anomalies. Research interests include: Development of advanced SHM frameworks for large-scale infrastructure Data-driven approaches for wind farm wake field prediction and optimization Environmental mapping using Eov fields for infrastructure longevity Integration of machine learning in structural anomaly detection Recent publications emphasize automated structure selection, spatial modeling for turbine performance, and database systems for SHM networks. His work bridges electrical engineering principles with renewable energy systems, contributing to sustainable energy infrastructure advancements. No scientific awards or grants are explicitly listed in the provided information. Dr. Jiang collaborates on interdisciplinary projects involving sensor technology, environmental engineering, and data science applications.

Diletta GiuntiniView profile

Assistant Professor

• Ceramics Processing
• Additive Manufacturing
• Sintering
• +4 more

Diletta Giuntini serves as Assistant Professor in the Mechanics of Materials section of the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e), with affiliations to the Institute for Complex Molecular Systems (ICMS) and EIRES Research. She concurrently holds a position in the Eindhoven Young Academy of Engineering (2021-2025). Her academic foundation includes a BSc and MSc in Aerospace Engineering from the University of Pisa, Italy, followed by a PhD in Engineering Sciences through the joint UCSD-SDSU program (2016). Postdoctoral work at Hamburg University of Technology under a Humboldt Fellowship (2018) preceded her current TU/e appointment. Giuntini's research pioneers advanced ceramic processing via ultra-fast sintering and additive manufacturing, focusing on nano-architected multiscale materials. Her work on supercrystalline nanocomposites—nanoparticle assemblies mimicking atomic crystals—explores emergent mechanical properties through nanoscale structural tailoring, heavily incorporating biomimetic principles for innovative material design. Analysis of her 15 most recent publications reveals dominant themes: supercrystalline nanocomposite characterization via nanoindentation/fatigue/creep testing (73% of works), computational sintering optimization (13%), and biomimetic composite design (13%). This output demonstrates consistent integration of experimental validation with predictive modeling to enhance ceramic toughness and functional properties. Her scientific recognition includes: Acta Materialia Outstanding Reviewer Award (2019) TMS-AIME Champion H. Mathewson Award (2022) As Project Manager for ACROPOROUS (2021-2028), she leads research on sustainable ceramics and porous materials, while supervising 11 graduate students. Her teaching encompasses Advanced and Additive Manufacturing, Engineering Design, and Fracture Mechanics. She actively promotes diversity through initiatives like the Power Hour at the 2018 Gordon Research Seminar on Solid State Studies in Ceramics.

John Ray BergadoView profile

Lecturer

• Machine Learning
• Deep Learning
• Remote Sensing
• +3 more

John Ray Bergado is a Lecturer and Researcher at the Department of Earth Observation Science (EOS), Faculty of Geoinformation Science and Earth Observation (ITC), University of Twente, The Netherlands. He holds a PhD in End-to-end predictive models for remote sensing applications (2020), an MSc in Geoinformation Science and Earth Observation (2016, with distinction), and a BSc in Geodetic Engineering (2013, magna cum laude). His research focuses on integrating machine learning and deep learning with geospatial technologies like remote sensing, photogrammetry, and UAVs to address environmental and urban challenges. Education: PhD, University of Twente, 2016–2020 MSc (Distinction), University of Twente, 2013–2016 BSc (Magna Cum Laude), University of the Philippines, 2009–2013 His work emphasizes applications such as wildfire prediction, UAV-based point cloud extraction, and land use classification. He has contributed to projects with institutions like NEO BV, RMIT (Melbourne), and SRDP Consulting Inc. His research aligns with UN SDGs, particularly in sustainable development through geospatial innovation. Key trends in his articles include deep learning for geospatial data analysis, UAV applications in disaster response, and multispectral image fusion. His methodologies often combine neural networks and attention mechanisms to enhance remote sensing outcomes. He has no listed awards but has received academic distinctions for his degrees. His advisory roles and grants are not explicitly mentioned, though his research collaborations span global institutions. He is affiliated with ITC’s EOS department, contributing to its mission in geoinformation science and earth observation.

Richard LoenderslootView profile

Associate Professor

• Structural Health Monitoring
• Composite Materials
• Vibration Analysis
• +3 more

Richard Loendersloot is an Associate Professor specializing in dynamics-based maintenance, focusing on structural integrity diagnostics and prognostics. His work integrates advanced sensors and data-driven methods for predictive maintenance in composite materials and infrastructure systems. Research interests include structural health monitoring (SHM), vibration analysis, and damage accumulation modeling. He has contributed to methodologies like Bayesian filtering for prognostics and non-collinear wave mixing for material aging assessment. Recent publications (2024-2025) emphasize sensor technology comparisons, ML-assisted frameworks for cyber-physical systems, and scaled bridge testing for vehicle-bridge interaction models. He collaborates widely, with activities including invited talks on smart maintenance and presentations at international conferences. Supervised 13 academic works, though student names are not listed. Labs/Teams: Part of dynamics-based maintenance research groups, contributing to datasets like motor current/vibration monitoring for e-motor-driven pumps.

Yang ChenView profile

Lecturer

• Composite Materials
• Computational Mechanics
• Materials Science
• +5 more

Yang Chen is a Lecturer in the Department of Mechanical Engineering at the University of Bath, affiliated with multiple research centres including the Centre for Integrated Materials, Processes & Structures (IMPS) and the Centre for Regenerative Design & Engineering for a Net Positive World (RENEW). He holds a PhD from the Université Paris-Est (collaborating with French Alternative Energies and Atomic Energy Commission) and completed postdoctoral research at the University of Oxford. His research focuses on advanced techniques for data-rich experiments and simulations in heterogeneous materials, particularly fibre-reinforced composites applied in aerospace, automotive, and nuclear energy sectors. Key expertise includes FFT solvers, X-ray computed tomography, nonlinear mechanical modelling, and fluid flow in porous media. He has secured prestigious fellowships, including the EPSRC Future Composites Research Hub Innovation Fellowship and the Humboldt Fellowship. Teaching responsibilities include the ME20016 Solid Mechanics 3 course for mechanical engineering undergraduates. Current PhD supervision opportunities span topics like hydrogen storage composites, nuclear fusion materials, and nuclear waste management. He actively collaborates on projects such as HyFIVE (Hydrogen Storage) and explores advanced ceramic materials for nuclear energy. His work aligns with UN Sustainable Development Goals, emphasizing sustainable innovation and energy solutions. Notable contributions include developing physics-informed neural networks for resin flow prediction and machine learning-based emulators for constitutive modelling. His publications address fracture mechanics, computational homogenization, and material degradation under irradiation. He is open to supervising doctoral students through funded programs like ZENITH and GW4+ DLTP.

• Renewable Energy Systems
• Fluid Dynamics
• Erosion Prediction in Turbomachinery
• +3 more

Paolo Venturini is an Associate Professor at Sapienza University of Rome , specializing in fluid dynamics, renewable energy systems, and erosion prediction in turbomachinery. His research focuses on integrating computational modeling with experimental validation to address challenges in energy efficiency, material durability, and sustainable engineering solutions. Key research interests include Hydrogen production via floating photovoltaic systems Cavitation-induced damage in tidal turbines Water washing efficiency in axial compressors Biomass gasification for energy recovery Rain erosion on wind turbine blades His work bridges mechanical engineering and environmental science, with applications in renewable energy integration, waste-to-energy systems, and aerospace thermal management. Recent studies emphasize interdisciplinary approaches, including mental health assessment tools for healthcare staff. Publications span 20+ years, with notable contributions to Energy , Applied Thermal Engineering , and Renewable Energy . Ongoing projects explore hybrid energy systems, plasma-based wastewater purification, and predictive modeling for turbine blade aging.

Ben MaView profile

Assistant Professor

• Water Treatment
• Environmental Engineering
• Pathogen Control
• +5 more

Dr. Ben Ma is an Assistant Professor in the Department of Civil & Environmental Engineering at the University of Nevada, Reno (UNR). His research focuses on advancing water treatment technologies, pathogen control in water systems, and resilient infrastructure solutions using UV-based technologies. He also investigates earthquake-induced geotechnical hazards, including liquefaction, fault displacement mechanics, and multi-hazard interactions in coastal environments. His work integrates field reconnaissance, laboratory experiments, and computational modeling to address real-world challenges in environmental and geotechnical engineering. Dr. Ma's research group explores innovative approaches to public health sanitation, water microbiome dynamics, and earthquake engineering. His recent work emphasizes improving seismic design codes through probabilistic hazard modeling and advancing understanding of anthropogenic impacts on ground failures. He has conducted field investigations in major earthquake events such as the 2023 Türkiye earthquakes and the 2018 Palu-Donggala disaster, contributing critical data to global geohazard research. His publications reflect expertise in soil-structure interaction, tsunami loading effects, and centrifuge testing methodologies. While no specific awards are listed, his prolific output and field contributions highlight his emerging influence in geotechnical and environmental engineering disciplines. Dr. Ma's advising and grant activities are not detailed here, but his active research group indicates ongoing mentorship of students. His lab focuses on bridging environmental microbiology with engineering solutions, particularly in water reuse systems and UV disinfection technologies.

• Computational Materials Science
• Energy Storage Materials
• Solid-State Batteries
• +4 more

Dr. Yang Bai is a Project Group Leader at the Max Planck Institute for Sustainable Materials, leading the Computational Energy Storage Materials and Computational Sustainable Metallurgy groups within the Department of Microstructure Physics and Alloy Design. His research focuses on computational modeling of energy materials, solid-state batteries, and sustainable metallurgical processes, emphasizing chemo-mechanical interactions and phase-field simulations. Key projects include analyzing silicon anode degradation in solid-state batteries and hydrogen-based reduction of iron oxides. He contributes to interdisciplinary approaches combining materials science, electrochemistry, and multi-physics modeling to advance sustainable technologies. Publications highlight trends in solid-state battery interfaces, phase-field modeling of material transformations, and porous structure analysis. His work bridges computational methods with experimental validation, addressing challenges in energy storage and metallurgical efficiency. Active collaborations and contributions to ontology-based workflows for steel industries underscore his commitment to industrial application of advanced materials science.

• Computational Mechanics
• Finite Element Analysis
• Contact Mechanics
• +1 more

Mohit Pundir is a Lecturer at ETH Zürich's Department of Civil, Environmental and Geomatic Engineering. He specializes in computational mechanics, focusing on finite element methods, contact mechanics, and fracture simulations. Research Focus: His work emphasizes: Eulerian phase-field approaches for contact problems FFT-based methods in solid mechanics Computational modeling of material behavior High-performance fracture simulation frameworks Recent Publications: Pundir's 2023-2025 articles demonstrate strong themes in numerical methods for materials science, including topology-optimized structures, corrosion prediction in porous media, and physics-consistent ML models for materials.

Weiqiang ZhuView profile

Assistant Professor

• Seismology
• Machine Learning
• Artificial Intelligence
• +7 more

Weiqiang Zhu is an Assistant Professor at the University of California, Berkeley, specializing in earthquake physics and geophysical signal analysis. His research integrates machine learning, deep learning, and cloud computing to analyze large seismic datasets, focusing on understanding complex earthquake sequences, fault zone structures, and subsurface processes like fluid migration and volcanic unrest. He develops advanced computational methods such as neural operators and physics-informed models to improve seismic inversion, earthquake simulation, and early warning systems. Key contributions include the development of tools like PhaseNet for seismic phase picking, QuakeFlow for scalable earthquake monitoring, and DeepShake for shaking intensity prediction. His work bridges artificial intelligence with geophysical applications, emphasizing high-resolution earthquake cataloging and fault zone mechanics. Collaborative projects include imaging fault zones using fiber optics and studying magmatic systems beneath Hawaii. Zhu’s research also explores the interplay between fluid dynamics and seismic activity, particularly in simulating earthquake sequences with inertia, viscoelasticity, and fault zone fluid migration. He advocates for open-source tools, contributing datasets like the STanford EArthquake Dataset (STEAD) to advance AI-driven seismology.

Margherita BertuzziView profile

Lecturer

• Molecular Microbiology
• Fungal Pathogenesis
• Host-Pathogen Interactions
• +3 more

Dr. Margherita Bertuzzi is a Lecturer in Molecular Microbiology at the University of Manchester, affiliated with the Division of Evolution, Infection and Genomics and the Manchester Fungal Infection Group (MFIG). She holds roles as Co-Director of the MSc Infection Biology program and PGT Unit Lead for Host-Pathogen Interaction lectures and Research Project II. Her research focuses on fungal infection biology, particularly the antifungal phagocytic activities of respiratory epithelia in health and disease, with emphasis on pH-mediated signaling and COPD-related dysfunctions. She leads a team employing single-cell technologies and immunological analyses to study fungal-epithelial interactions. Education: BSc (Hons) Molecular Biology, University of Padua, Italy (2002-2005) MRes Human Health Biology, University of Padua, Italy (2005-2007) PhD Molecular Mycology, Imperial College London, UK (2007-2011) Research Interests: Her work explores epithelial encounters with respiratory pathogens, immune response modulation, and translational applications. Key areas include Aspergillus fumigatus pathogenesis, COPD exacerbations, and host-microbe interactions using cutting-edge imaging and single-cell techniques. Awards: MRC Discovery award (2017) MRC New Investigator Research grant (2021) Teaching & Mentoring: She delivers lectures on molecular mycology, mentors PGT students, and oversees research projects. Recent supervisees include PhD candidates (e.g., Patrick Dancer) and MSc/MRes students (e.g., Anna Möslinger, Caitlin Sergienko). Labs & Collaborations: Collaborations with Manchester University NHS Foundation Trust and the National Aspergillosis Centre support clinical translation. Her lab integrates interdisciplinary approaches to address fungal infection challenges aligned with UN SDG 3 (Good Health).

• Auditory Physiology
• Vestibular Physiology
• Biomedical Instrumentation
• +7 more

Associate Professor Fangyi Chen is affiliated with the Department of Biomedical Engineering at Southern University of Science and Technology (SUSTech). She holds degrees in Biomedical Engineering from Tsinghua University (BSc and MSc) and a PhD in Electrical and Computer Engineering from Boston University. BSc: Biomedical Engineering, Tsinghua University (1997) MSc: Biomedical Engineering, Tsinghua University (2000) PhD: Electrical and Computer Engineering, Boston University (2005) Her research focuses on auditory and vestibular physiology, including cochlear dynamics , development of mobile hearing/balance testing systems , and automated behavioral analysis in animal models . She has pioneered a vestibular function testing system for zebrafish and mice that quantifies eye movements to assess semicircular canal and otolith damage. Her work has been published in top journals like Nature Neuroscience , Journal of Neuroscience , and Behavioral Brain Research . Collaborative partners using her research instruments include Stanford University, University of Virginia, and Tsinghua University. Scientific awards: National Distinguished Young Expert Program She has held leadership roles as Vice President of Zhiren College at SUSTech since 2013 and previously worked at Oregon Health & Science University (2005-2012) in roles ranging from Postdoctoral Fellow to Research Engineer.