Find Academic Supervisors

• Granular Mechanics
• Materials Science
• Civil Engineering
• +5 more

Dr Deheng Wei is an academic researcher affiliated with the Department of Civil Engineering at The University of Sydney. His work focuses on granular mechanics, materials science, and computational modeling of complex systems. He investigates phenomena such as granular flow dynamics, particle behavior in fluids, and surface mechanics at microstructural scales. Research interests include fractal surface interactions, drag coefficient universality in granular materials, and energy pile thermal performance. His studies combine experimental methods like X-ray micro-CT with advanced computational techniques such as discrete element modeling (DEM) and computational fluid dynamics (CFD). Dr Wei's recent work explores topics such as droplet transport in deformable channels, flexoelectric effects in rough surfaces, and aggregate shape impacts on cement composites. His publications demonstrate multidisciplinary approaches addressing challenges in geotechnical engineering, fluid-particle systems, and material science. While no specific awards or grants are listed, his extensive publication record indicates active participation in international research collaborations. His work contributes to both theoretical understanding and practical applications in civil engineering and materials science domains.

• Hippocampal formation
• Neural circuitry
• Alzheimer's disease
• +3 more

John Gigg is Senior Lecturer in Neuroscience at University of Manchester with PhD from Open University. Research focuses on hippocampal neural circuitry using electrophysiology and behavioral analysis. Current projects investigate information flow in medial temporal lobe structures in normal and Alzheimer's model mice. Research Focus: Hippocampal-subicular-entorhinal interactions with emphasis on parallel processing pathways. Examines neural basis of cognitive deficits in Alzheimer's using transgenic models (3xTg, TgF344-AD). Collaborations: Neural processing with Stefano Panzeri, circadian influences with Hugh Piggins, epilepsy networks with Jon Turner, and Alzheimer's mechanisms with Stuart Allan. Funded by BBSRC and Royal Society.

• Mathematics Education
• STEM Education
• Educational Technology
• +4 more

Professor Andrew Wandel is a Professor of Mechanical Engineering at the School of Engineering, University of Southern Queensland, where he is affiliated with the Institute for Advanced Engineering and Space Sciences. He has been with the university since 2009, initially as an Associate Professor before being promoted to Professor. Professor Wandel earned his BEng(Hons) from the University of Queensland in 1998 and completed his PhD there in 2005. Prior to joining USQ, he held research associate positions at Imperial College London (2007-2008), The University of Queensland (2007), and Cambridge University (2006). Professor Wandel's research spans multiple areas including computational fluid dynamics, combustion engineering, biofuels, and mathematics education. His work focuses on automotive combustion and fuel engineering, computational methods in fluid flow, heat and mass transfer, energy generation and conversion, and numerical and computational mathematics. He also has significant contributions to STEM education, particularly in mathematics and engineering curriculum development. His recent publications show a strong focus on computational methods for fluid dynamics and combustion modeling, particularly the MMC-IEM model, as well as extensive work on alternative fuels like butanol-acetone mixtures, biofuels, and hydrogen for internal combustion engines. His research combines theoretical modeling with experimental validation across these areas. Combustion Institute - Australia and New Zealand Section Engineers Australia - Chartered Engineer RPEQ Professor Wandel actively supervises doctoral and masters students, with current projects focusing on CFD applications in grain vacuum sampling, gas turbines, and industrial waste heat recovery. His completed supervision projects include studies on alternative fuels for diesel engines, optimization of solar collectors, and lean manufacturing strategies. He teaches courses in Computational Fluid Dynamics (MEC5100) and Combustion (MEC5105), bridging theoretical concepts with practical applications in mechanical engineering.

Davide VittoneView profile

Professor

• Geometric Measure Theory
• Sub-Riemannian Geometry
• Calculus of Variations
• +3 more

Davide Vittone is a Full Professor in the Department of Mathematics at the University of Padua. His research focuses on geometric measure theory, sub-Riemannian geometry, and calculus of variations, with particular emphasis on Carnot-Carathéodory spaces and Heisenberg groups. He has published over 45 papers, including foundational works on BV functions, sub-Riemannian geodesics, and the regularity of intrinsic graphs. Key contributions include studies on the Stepanov differentiability theorem in Heisenberg groups, rectifiability of finite-perimeter sets in Carnot groups, and the analysis of abnormal sets in optimal control. His work bridges geometric analysis with functional analysis, addressing questions in metric measure spaces and non-smooth calculus. Vittone has participated in numerous international conferences and workshops, including organizing events such as the 'Geometric Analysis in Metric Measure Spaces' and 'Sub-Riemannian days'. His research often involves collaborations with leading experts in geometric measure theory and control theory. His academic trajectory includes a PhD from Scuola Normale Superiore di Pisa (2008) and extensive postdoctoral experience. He maintains an active role in the mathematical community through seminar presentations, including discussions on rectifiability in sub-Riemannian geometry and regularity problems for geodesics.

• Calculus of Variations
• Partial Differential Equations
• Continuum Mechanics
• +3 more

Mariano Giaquinta is a Professor at Scuola Normale Superiore di Pisa, specializing in Calculus of Variations and Continuum Mechanics. His research focuses on variational methods applied to material science, fracture mechanics, and geometric measure theory. He has organized events like the 2018 anniversary for the journal 'Calculus of Variations and Partial Differential Equations.' Key research interests include stress constraints in materials, energy relaxation in manifold-constrained mappings, and mathematical modeling of brittle fractures. His work integrates geometric analysis with physical applications, addressing topics like BV spaces, Sobolev mappings, and curvature varifolds. Publications span over 15 years, emphasizing variational approaches to complex materials, stratified energies, and topological defects. Collaborators include P.M. Mariano, G. Modica, and D. Mucci. No scientific awards are explicitly listed, but his extensive publication record reflects significant contributions to the field.

• Geometric Analysis
• SubRiemannian Geometry
• Geometric Measure Theory
• +5 more

Gioacchino Antonelli is an Assistant Professor and Courant Instructor/Morawetz Fellow at the Courant Institute of Mathematical Sciences, New York University since 2022. Starting August 2025, he will join the University of Notre Dame as a Tenure-Track Assistant Professor. He holds a PhD from Scuola Normale Superiore (SNS, Pisa), supervised by Luigi Ambrosio and Enrico Le Donne. His research focuses on geometric analysis, subRiemannian geometry, and geometric measure theory, with applications to isoperimetric problems, curvature bounds, and rectifiability in non-Euclidean settings. Antonelli's work bridges geometric analysis and metric geometry, addressing questions about spaces with Ricci curvature lower bounds, Carnot groups, and geometric flows. He has collaborated with leading researchers such as Mattia Pozzetta, Enrico Pasqualetto, and Robert Young. Notable achievements include an NSF Standard Grant (2025), Italian habilitation as Associate Professor in both Mathematical Analysis and Algebra/Geometry (2025), and the Morawetz Fellowship (2024). He co-organizes the Courant Geometric Analysis & Topology Seminar and is set to deliver a mini-course at Northwestern University in 2025. His research has been published in top journals like Annales Scientifiques de l'École Normale Supérieure and Calculus of Variations and PDEs.

• Geometric Measure Theory
• Calculus of Variations
• Differential Geometry
• +3 more

Ulrich Menne is affiliated with the Department of Mathematics at National Taiwan Normal University . His research focuses on geometric measure theory, calculus of variations, and differential geometry, with contributions to topics such as rectifiability, isoperimetric inequalities, and functional inequalities in geometric contexts. He has organized and participated in several academic events, including the NCTS International Geometric Measure Theory Seminar (2020-2021), the Federer Birthday conference (2020), and workshops on geometric measure theory and real analysis. His work bridges theoretical analysis with geometric applications, emphasizing foundational questions in metric spaces and submanifolds. Key contributions include studies on integral chains, second-order rectifiable stratifications, and novel inequalities for diffused surfaces. Menne’s research reflects a deep engagement with both abstract geometric structures and their analytical implications.

• Fluid Mechanics
• Plasma Physics
• Turbulence
• +3 more

Raffaele Marino is a Research Fellow at the CNRS affiliated with the Laboratory of Fluid Mechanics and Acoustics (LMFA) at École Centrale de Lyon. He specializes in studying the interaction between waves and turbulence in rotating stratified geophysical and astrophysical fluids, employing high-resolution numerical simulations and experimental observations. His research bridges fluid dynamics, plasma physics, and geophysics, with applications to solar wind, planetary atmospheres, and oceanic flows. Marino holds a Doctorate in Physics (2009) and has held postdoctoral roles at the National Center for Atmospheric Research (NCAR, USA) and the University of California Berkeley, leading projects like the TILDAE mission under NASA's GRIPS program. He later conducted Marie Curie research at École Normale Supérieure de Lyon before joining LMFA. His work focuses on turbulence intermittency, energy transfer mechanisms, and the role of rotation/stratification in driving large-scale structures. Key themes include solar wind turbulence decay, magnetic reconnection effects, and dual energy cascades in plasmas. He collaborates internationally with institutions like UC Berkeley, NASA, and the Solar Orbiter mission, contributing to both observational and computational advancements in fluid dynamics.

• Fluid Dynamics
• Acoustics
• Turbulence
• +3 more

Laurent Martin-Witkowski is a Researcher at the Laboratory of Fluid Mechanics and Acoustics (LMFA), a joint research unit (UMR 5509) affiliated with University of Lyon 1 (UCBL), École Centrale de Lyon (ECL), and CNRS. He is part of the EM³ team (Multi-physical, Multi-phase & Multi-scale Flows), focusing on advanced fluid dynamics research. His work involves multi-phase flows, turbulence modeling, and metrology techniques, with applications to environmental and industrial challenges. He contributes to experimental and numerical studies within the LMFA’s facilities, including advanced visualization systems and flow measurement platforms. His research aligns with societal issues such as energy, environmental risk management, and fluid-structure interactions. Affiliations: University of Lyon 1, CNRS, École Normale Supérieure de Lyon Key Research Themes: Multi-phase flows, turbulence, fluid-structure interactions, environmental hydrodynamics Dr. Martin-Witkowski collaborates with international institutions and industries, contributing to projects addressing fluid mechanics challenges in energy, transport, and environmental sustainability. His team’s expertise includes digital holography, particle tracking, and advanced flow diagnostics, enabling detailed analysis of complex fluid phenomena.

• Structural Geology
• Basin Analysis
• Tectonics
• +2 more

Atle Rotevatn is Professor of Structural Geology and Basin Analysis at the University of Bergen, where he also serves as Head of the Department of Earth Science. His research examines structural geology with applications to energy resources and geohazards. His laboratory investigates tectonic processes, sedimentary basin evolution, and fluid flow in fractured reservoirs. Research applications span geothermal energy, hydrocarbon exploration, and CO₂ storage. He maintains extensive international collaborations and serves as Editor-in-Chief of Basin Research. He actively engages in science communication through public lectures and media contributions on geological topics.

Radu Patrice HoraudView profile

Researcher

• Computer Vision
• Audio Signal Processing
• Robotics
• +5 more

Radu Patrice Horaud is a Researcher at Inria Grenoble Rhône-Alpes and a member of the RobotLearn team at Laboratoire Jean Kuntzmann, Université Grenoble Alpes. He holds a PhD from 1981 and has been a director of research since 1998. His work focuses on computational vision, audio-visual fusion, robotics, and machine learning, with applications in human-robot interaction and multimodal perception. Notable achievements include coordinating European projects, receiving two ERC grants (Advanced and Proof of Concept), and founding the Perception team. His research spans over 200 publications and includes contributions to 3D sensors, embodied audition, and Bayesian methods in inverse problems. Education: PhD (1981), postdoctoral work at SRI International (1982-1984), and CNRS researcher (1984-1998). Research Interests: Audio-visual scene analysis, robotics, machine learning, and multimodal fusion. His work emphasizes integrating audio and visual data for robotics and healthcare applications, such as the SPRING project in gerontological healthcare. Key Awards: ERC Advanced Grant (2014-2019), ERC Proof of Concept (2018-2019). His lab has also secured funding for projects like Socially Pertinent Robots in Gerontological Healthcare (SPRING). Labs/Teams: Formerly led the Perception team (2007-2021), now part of RobotLearn. Active in the Multidisciplinary Institute in Artificial Intelligence (MIAI) since 2019.

Qiuyu LianView profile

Research Fellow

• Single-cell Sequencing
• Spatial Transcriptomics
• Cancer Biology
• +3 more

Qiuyu Lian is a Research Fellow at the University of Cambridge, affiliated with the Department of Applied Mathematics and Theoretical Physics (DAMTP) under the Faculty of Mathematics. Their research focuses on biological physics and mechanics, with a strong emphasis on single-cell sequencing technologies, spatial transcriptomics, and cancer biology. Key areas of interest include understanding molecular mechanisms driving cancer progression, developing computational tools for genomic data analysis, and exploring interactions between microbiota and stem cell development. Research interests prominently feature systems biology approaches to study cancer heterogeneity, gene regulation networks, and therapeutic resistance mechanisms. Their work bridges computational methods (e.g., neural network modeling, bioinformatics pipelines) with experimental biology, particularly in hepatocellular carcinoma and lung adenocarcinoma. Recent projects include the HCCDB database for cancer expression analysis and advancements in spatial transcriptomics to map tumor microenvironments. Publications highlight contributions to single-cell sequencing methodologies (e.g., AAB-seq, GMM-Demux), spatial transcriptomics integration with histopathological imaging (TIST), and molecular characterization of cancer subtypes. These studies underscore a multidisciplinary approach combining engineering, mathematics, and biology to address complex biological systems. No scientific awards are explicitly mentioned in the provided texts, though their extensive publication record suggests recognition within the field. Advising and grant activities are not detailed here, but their research collaborations likely involve advanced computational and experimental facilities at DAMTP. Lian’s work is part of broader initiatives in biological physics, aiming to translate molecular insights into clinical applications for cancer therapy and diagnostics.

Alain PumirView profile

Professor

• Fluid Dynamics
• Turbulence
• Biophysics
• +3 more

Alain Pumir is a Professor and Research Director at the French National Centre for Scientific Research (CNRS), affiliated with the École Normale Supérieure de Lyon (ENS Lyon) since 2008. He holds an external scientific membership at the Max Planck Institute for Dynamics and Self-Organization (MPIDS) in Göttingen, recognized for his long-term collaboration with the institute's Fluid Physics, Pattern Formation, and Biocomplexity department under Prof. Eberhard Bodenschatz. His research focuses on fluid dynamics, turbulence, and self-organization phenomena, including studies on turbulent shear flows, extreme events in turbulence, and biophysical systems such as ice growth in mixed-phase clouds. He received the Humboldt Research Award and has conducted extended research stays at MPIDS since 2013. Key collaborations involve exploring the interplay between large-scale instabilities and small-scale intermittency in stratified flows, as well as the dynamics of non-spherical particles in turbulent environments. His work bridges theoretical approaches with experimental validations, emphasizing the role of pressure dynamics and inertial effects in fluid systems. Awards: Humboldt Research Award (2013), External Scientific Member of MPIDS (2018) Key Themes: Turbulence universality, fluid-structure interactions, climate-relevant cloud physics

Jerome LacroixView profile

Assistant Professor

• Biomedical Sciences
• Biophysics
• Cell Biology
• +3 more

Jerome Lacroix, PhD, is an Assistant Professor in the Department of Biomedical Sciences at the College of Osteopathic Medicine of the Pacific, Western University of Health Sciences. His research focuses on mechanosensitive ion channels and their role in cellular mechanotransduction. Key techniques include protein engineering, patch-clamp electrophysiology, and focused ultrasound applications. He leads the Lacroix Laboratory, which develops biotechnologies to visualize mechanical forces on cells and stimulate neurons non-invasively. Education: PhD in Cell and Molecular Biology, University of Nice-Sophia Antipolis (2006) MSc in Cell and Molecular Pharmacology and Biology, University of Nice-Sophia Antipolis (2002) BSc in Cell Biology and Physiology, École Normale Supérieure de Lyon (2001) Research Interests: Mechanosensitive ion channel gating mechanisms Development of acoustic stimulation tools for neurons Biophysical studies of PIEZO1 and PIEZO2 channels Grants: R01 GM130834 (2019-2023): Principal Investigator R21 NS101384-01A1 (2018-2019): Principal Investigator Professional Activities: Committee roles: GCBS Research Representative, MSMS Curriculum Committee Organizations: Faculty of F1000 (since 2013), The Biophysical Society (since 2007) Laboratory: The Lacroix Laboratory emphasizes interdisciplinary approaches, combining biophysics, engineering, and molecular biology to advance mechanotransduction research and translational applications.

Yuqiu YangView profile

Lecturer

• Cancer Biology
• Immunology
• Bioinformatics
• +3 more

Yuqiu (Ian) Yang is an Assistant Instructor at the Peter O’Donnell Jr. School of Public Health at The University of Texas Southwestern Medical Center. He holds a Ph.D. in Biostatistics from Southern Methodist University. His research focuses on cancer biology, immunology, and bioinformatics, with an emphasis on developing computational tools for biomedical data analysis and understanding mechanisms of therapy resistance in prostate cancer and immunotherapy outcomes. Yang’s work integrates biostatistical methods with oncological and immunological research to advance translational medicine. Key research areas include epigenetic regulation in cancer, T cell receptor-antigen interactions, and the application of Bayesian/deep generative models in immunology. He has contributed to methodologies like MetaNorm (for NanoString data normalization) and Cytomulate (CyTOF simulation), highlighting his expertise in computational biology and high-throughput data analysis. Publications since 2022 reflect a focus on prostate cancer mechanisms, immunotherapy efficacy biomarkers, and cross-species T cell receptor predictions. His interdisciplinary approach bridges statistics, genomics, and clinical oncology, addressing challenges in precision medicine and drug resistance.