Find Academic Supervisors

• Nanomechanics
• Materials Science
• Thin Films
• +4 more

Dr. James Paul Best is a Guest Group Leader at the Max-Planck-Institut für Eisenforschung GmbH (MPIE), leading the "Nano-/Micromechanics of Materials" group and interim leader of the "Thin Films and Nanostructured Materials" group. His research focuses on small-scale mechanics, nanomechanical testing, and the interplay between material chemistry and deformation at micro- and nanoscales. He holds a PhD from the University of Melbourne (2013) in Chemical Engineering and has held postdoctoral roles at EMPA (Switzerland) and UNSW Sydney (Australia). His work bridges fundamental materials science with applications in energy-efficient manufacturing, battery systems, and advanced alloy design. Key methodologies include in-situ scanning electron microscopy (SEM), atom probe tomography, and correlative microscopy. Research interests emphasize thin films, metallic glasses, intermetallic interfaces, and additive manufacturing. He explores how atomic-scale chemistry influences mechanical properties, particularly in materials like Laves phases and high-entropy alloys. Applications span aerospace, energy storage, and industrial forging tools. His interdisciplinary approach involves collaboration with MPIE colleagues to integrate mechanical testing with advanced structural analysis.

Paul O'LearyView profile

Lecturer

• Wireless Communications
• Laser Diagnostics
• Additive Manufacturing
• +3 more

Dr Paul O'Leary is the Head of Quality Promotion and Academic Policy Development at SETU (South-East Technological University), Ireland. Previously, he served as a full-time lecturer in the Department of Engineering Technology within the School of Engineering, specializing in circuit theory, energy systems, and communications. He has over 10 years of experience leading academic programs from certificate to master's levels and contributed to teaching at both undergraduate and postgraduate levels. He is a member of SETU’s Academic Council and its subcommittees on Academic Quality, Planning, Teaching & Learning, and Research Innovation. Education: Bachelor of Engineering (BE) from University College Dublin (UCD) MEngSci in Digital Signal Processing (UCD) PhD in Far InfraRed diagnostic development on the RFX fusion facility (University College Cork, awarded as a EURATOM/Marie Curie Fellow at Consiglio Nazionale delle Ricerche, Italy) Research Interests: His work spans wireless communications, antenna design, laser diagnostics, additive manufacturing, and academic quality assurance. Notable contributions include developing solar wind detection systems for space projects (RAPID Cluster, Geotail HEP-LD) and a powerline communications system at DIT’s Applied Optoelectronics Centre. Recent Articles: Focus areas include quality frameworks in higher education during crises, 3D-printed metallic antennas, and non-destructive manufacturing techniques. These reflect his dual expertise in engineering and academic policy. Activities: Organized the 2024 Digital Education Conference and contributed to EU-funded research projects. He actively engages in peer-review and conference organization, emphasizing interdisciplinary collaboration. Labs/Teams: Affiliated with the Wireless Communications & Large Scale Simulation Group and the School of Engineering at SETU.

• Materials Science
• Nano-Mechanics
• High Strain Rate Deformation
• +3 more

Dr. Dipali Sonawane is a Research Fellow at the Structure and Nano-/ Micromechanics of Materials department of the Max Planck Institute for Sustainable Materials in Düsseldorf, Germany. Her research focuses on understanding mechanical behavior of materials at extreme conditions, particularly in microelectronic systems and nano/micro-scale devices. She holds a PhD in Materials Engineering from the Indian Institute of Science (IISc), Bangalore, and has held prestigious fellowships including the Alexander von Humboldt Fellowship. **Education:** - Ph.D. & M.Sc. (Engg.) in Materials Engineering, IISc Bangalore (2014-2021) - B.E. in Mechanical Engineering, University of Pune (2009-2013) **Research Interests:** Her work explores high strain rate deformation mechanisms in metals and composites, nanomechanical testing techniques , and reliability of microelectronic interfaces . She develops novel methods for studying material behavior under extreme conditions like ultra-high strain rates and thermal cycling. **Key Contributions:** Her recent work includes studies on nickel microparticle deformation (2024-2025), dynamic hardness of iron aluminide alloys (2023-2024), and cryo-mechanical properties of dewetted materials. Her research bridges nanoscale mechanics with engineering applications in electronics and additive manufacturing. **Awards:** - Alexander von Humboldt Fellowship (2022–2024) - Senior Research Fellowship at IISc Bangalore (2021) **Lab Affiliations:** Member of the Nanomechanical Instrumentation and Extreme Nanomechanics research group at Max Planck Institute, specializing in advanced testing methodologies for materials under extreme conditions.

• Database Systems
• Data Privacy
• Machine Learning
• +4 more

Zhenjie Zhang is a Professor in the Department of Computer Science at East China Normal University's School of Computer Science and Software Engineering, with a distinguished research career spanning nearly two decades. His work bridges theoretical computer science with practical industrial applications, maintaining strong international collaborations with researchers from TU Wien, National University of Singapore, and industry partners including ByteDance. Dr. Zhang's research focuses on the intersection of database systems, machine learning, and industrial applications. His early work centered on database privacy and query processing, evolving toward causal inference, fault diagnosis systems, and industrial AI applications. His recent publications demonstrate a strategic shift toward solving real-world engineering problems using advanced machine learning techniques, particularly in manufacturing, transportation, and cloud systems. The consistent publication trajectory across top venues like IEEE TKDE, VLDB, and ACM Transactions shows sustained research excellence and adaptability to emerging technical challenges. His publication record reveals significant contributions to causal inference methods, evidenced by multiple papers on causal discovery and transfer learning. The research demonstrates practical impact through industrial collaborations, particularly in fault diagnosis systems for mechanical equipment and adaptive control for unmanned vehicles. The recent work shows increasing focus on deploying AI models efficiently in resource-constrained environments, reflecting awareness of practical implementation challenges. Dr. Zhang has mentored numerous junior researchers who have become active contributors in the field, including Ruichu Cai and Zining Zhang. His collaborative network spans multiple continents, indicating strong research leadership and international recognition. The consistent flow of publications in top venues suggests successful grant funding and research group management, though specific grant details aren't provided in the source material.

• Compressible Flows
• Numerical Modeling
• Smoothed Particle Hydrodynamics
• +7 more

Stefan Adami is an Adjunct Professor at the Institute of Aerodynamics and Fluid Mechanics, Technical University of Munich (TUM), where he leads the 'Nanoshock' research group. He holds a Ph.D. in Mechanical Engineering from TUM and was awarded habilitation in 2022, followed by appointment as Privatdozent in 2023. His academic career at TUM includes roles as research associate, Akademischer Rat, and group leader. Research Interests: Compressible and multiphase flows Numerical modeling and simulation Smoothed Particle Hydrodynamics (SPH) High-speed aerodynamics and shock wave dynamics Applications in additive manufacturing and biomedical fluid mechanics His recent research employs advanced solvers like ALPACA for high-resolution simulations of bubble dynamics, shock interactions, and interfacial flows. He has contributed to modeling in laser-based 3D printing and cavitation-based drug delivery systems. Recent Publication Trends: His 2023–2025 publications emphasize compressible multiphase flows, high-order numerical schemes (WENO-THINC), and applications in materials processing and biomedical engineering. He frequently collaborates on solver development and benchmarking, including large-scale datasets for Riemann problems. Teaching: Lecturer for 'Numerical Methods for Conservation Laws' (Winter Semester) Lecturer for 'Turbulent Flows' (Summer Semester) Previously served as Teaching Assistant for Continuum Mechanics and Computational Solid and Fluid Dynamics Research Leadership: Leader of the 'Nanoshock' research group since 2015 Key contributor to the development of the ALPACA solver for compressible multiphase flows Active in interdisciplinary projects involving fluid-structure interaction and industrial applications

Anne BonninView profile

Researcher

• Bioimaging
• Cardiac Imaging
• X-ray Tomography
• +4 more

Dr. Anne Bonnin serves as a Beamline Scientist at the Paul Scherrer Institute (PSI) in Switzerland, where she has been instrumental in X-ray imaging research since joining the X-ray Tomography Group in 2014 and assuming her current role at the TOMCAT Beamline in 2016. Affiliated with PSI's Center for Photon Science and Laboratory for Macromolecules and Bioimaging, she operates at the forefront of synchrotron-based imaging techniques. Her academic foundation includes a PhD from INSA de Lyon focused on material properties for explosive detection, followed by postdoctoral work at the European Synchrotron Radiation Facility (ESRF) in X-ray diffraction and phase contrast tomography, and an NSF Research Fellowship for paleontology research at Harvard University and ESRF. Specializing in X-ray imaging (micro/nano-tomography, phase-retrieval) and powder diffraction, Dr. Bonnin leads the bioimaging program at TOMCAT with particular emphasis on the international Heart Imaging Project. Her research develops novel methodologies for materials characterization across diverse domains including cardiac microstructure analysis, paleontology, and neurodegenerative disease modeling, with significant contributions to understanding material behavior at microscopic scales. Her recent publications (2019-2021) demonstrate strong interdisciplinary impact, advancing X-ray imaging applications in energy storage (battery materials), biomedical research (cardiac/auditory systems), and materials engineering (aerogels). A defining trend is the integration of machine learning for image analysis, alongside methodological innovations like non-rigid image stitching and Fourier ptychography. These works reflect extensive international collaboration and address critical challenges in healthcare, energy, and fundamental material science. Dr. Bonnin leads the Heart Imaging Project to quantify cardiac microstructure using contrast-agent-free X-ray phase-contrast imaging, while actively contributing to the SLS2.0 upgrade project preparing TOMCAT for multiscale, multimodal, and dynamic tomographic capabilities. Her collaborative framework spans global researchers in materials science, paleontology, and biomedical engineering. As manager of the TOMCAT nanoscope—a full-field imaging setup achieving 150 nm 3D resolution—she enables cutting-edge research in absorption and phase-contrast imaging. Her team within the X-Ray Tomography Group drives the bioimaging program forward, particularly through the Heart Imaging Project's dynamic cardiac studies using modified Langendorff setups.

• Architectural Design
• Robotic Construction
• Generative Design
• +2 more

Dr. Deborah Do Rosario Benros is a Senior Lecturer and Cluster Lead in Architecture at the University of East London. She specializes in computational design methodologies, robotic manufacturing, and sustainable micro-housing solutions. Her research bridges architectural theory with digital fabrication technologies, focusing on generative design systems and mass customization. Research interests span generative multilingual shape grammars, 3D printing applications in large-scale construction, and AI-assisted co-design processes. Her work emphasizes sustainable housing innovation through parametric modeling and robotic construction techniques. Recent publications demonstrate consistent focus on AI-driven design collaboration, robotic fabrication efficiency, and sustainable modular systems. Trends include increased integration of machine learning with architectural prototyping and human-AI co-creation frameworks. As Cluster Lead, she oversees research initiatives in Architecture, Computing & Engineering, fostering cross-disciplinary innovation in digital manufacturing.

Jiandi WanView profile

Assistant Professor

• Microfluidics
• Biomedical Engineering
• Tissue Engineering
• +7 more

Jiandi Wan is an Assistant Professor in the Department of Chemical Engineering at the University of California, Davis. His research focuses on micro-scale multi-phase flow dynamics with applications in vascular circulation, tissue engineering, and material synthesis. He leads the Wan Research Lab, which investigates cerebral microcirculation using microfluidics and microscopy, develops 3D printing and Organ-on-a-Chip technologies for in vivo system replication, and explores functional materials for biomedical and energy applications. Key research themes include neurovascular coupling, stem cell biology, and advanced material fabrication. Dr. Wan's work bridges chemical engineering with biomedical and materials science, aiming to advance fundamental understanding of fluid dynamics in biological and synthetic systems. His lab’s innovations include novel microfluidic approaches for disease modeling and energy storage solutions. Collaborative projects often involve interdisciplinary partnerships to address challenges in healthcare and sustainability. His research has produced technologies such as nanoporous separators for lithium-ion batteries and microfluidic platforms for studying red blood cell mechanics. The Wan Lab’s methodologies emphasize precision engineering and real-world applicability, contributing to both academic and industrial advancements. Current projects include developing brain-on-a-chip systems and exploring oxygen-regulated microcirculation mechanisms. Advising and grants are central to his academic role, though specific details are not provided in the text. The Wan Research Lab serves as a hub for graduate and postdoctoral training, fostering innovation in microfluidics, material science, and biomedical engineering.

Cameron AubinView profile

Assistant Professor

• Robotics
• Materials Science
• Energy Systems
• +5 more

Cameron Aubin is an Assistant Professor in the Department of Robotics at the University of Michigan's College of Engineering. He leads the Zoetic Robotics Laboratory, which focuses on bio-inspired robotics, materials science, and energy systems. His work emphasizes closing the performance gap between robots and living organisms by integrating multifunctional materials and energy systems into robotic designs. Research interests include soft robots, microrobots, autonomous materials, and additive manufacturing. The lab explores insect-scale robotics, embodied energy systems, and materials inspired by biological structures like bone microarchitectures. Key projects involve developing combustion actuators, valveless fluid systems, and energy-dense robotic components. Recent publications (2021–2025) highlight advancements in soft actuators, microscale combustion, and fatigue-resistant materials. The lab’s interdisciplinary approach bridges robotics, materials science, and biomedical engineering. No scientific awards are explicitly listed, but ongoing work includes collaborations on 3D-printed medical devices and energy-efficient robotic systems. Advising and grants are not detailed in the provided text, but the lab actively pursues cutting-edge research in autonomous robotics and bio-inspired design.

Brecht Van HoorewederView profile

Senior Lecturer

• Additive Manufacturing
• 3D Printing
• Mechanical Engineering
• +4 more

Brecht Van Hooreweder is a Senior Lecturer at the Faculty of Engineering Sciences , KU Leuven , and serves as Director of the KU Leuven Institute for Additive Manufacturing (Leuven.AM) . His research focuses on advanced laser powder bed fusion (LPBF) techniques for metals, ceramics, and polymers, with an emphasis on surface quality, fatigue performance, and multi-functional applications. Research Areas Van Hooreweder specializes in: Additive Manufacturing (3D Printing) Mechanical properties of AM materials Laser-based process optimization Metal lattice structures for aerospace and biomedical applications Surface roughness and fatigue life enhancement Scientific Contributions His recent publications address challenges in: Improving surface quality via dual-laser systems Multi-scale fatigue analysis of Ti-6Al-4V and 316L stainless steel Computational models for melt pool dynamics Thermal management in copper heat exchangers

• Composite Materials
• Mechanical Engineering
• Laser Processing
• +5 more

Prof Paul Compston is a Professor at the Australian National University (ANU) within the Materials Physics Research group . His research focuses on composite materials , mechanical performance of thermoplastic composites , and laser-assisted manufacturing processes , with applications in automotive recycling and advanced structural composites . His work spans defect analysis in automated fiber placement , thermal and electrical conductivity enhancement via graphene interlayers , and 3D printed carbon-fiber composites , leveraging X-ray computed tomography for void and deformation characterization. Recent publications emphasize post-forming optimization , fiber architecture preservation , and sustainable lifecycle engineering . Key trends in his 15 most recent articles include: Advanced graphene-enhanced composites for conductivity improvement 3D printing of carbon-fiber/PEEK with void analysis laser-based repair techniques for adhesively bonded patches life cycle assessment of recycled CFRP automotive components mechanical testing using digital image correlation Prof Compston collaborates with researchers across Research School of Physics , industry partners like New Frontier Technologies , and institutions in Europe and Japan. His work integrates multi-scale imaging , thermal modeling , and sustainable manufacturing for composite and hybrid materials.

Arda GozenView profile

Associate Professor

• Additive Manufacturing
• 3D Printing
• Bio-printing
• +4 more

Arda Gozen serves as the George and Joan Berry Associate Professor in the School of Mechanical and Materials Engineering at Washington State University, where his research bridges advanced manufacturing and biomedical applications. Education: Ph.D. in Mechanical Engineering, Carnegie Mellon University, 2012 B.S. in Mechanical Engineering, Middle East Technical University (METU), 2006 Research Interests: Dr. Gozen pioneers micro-scale additive manufacturing techniques for polymer composites and metals, with significant contributions to bio-printing and soft wearable device development. His work integrates biomaterials science and biotransport principles to advance manufacturing processes, particularly in medical and wearable technology applications, while focusing on equipment innovation and process optimization. Scientific Awards: George and Joan Berry Assistant Professor (2019-2022) VCEA Junior Faculty Research Award (2019) NSF Career Award (2018) Outstanding teaching assistantship performance award (2009) Grants and Advising: His NSF CAREER Award funding supports foundational research in manufacturing processes, while his lab mentorship cultivates next-generation engineers in additive manufacturing and biomaterials despite limited public documentation of specific student cohorts. Labs and Teams: He directs the Manufacturing Processes and Machinery Lab, driving interdisciplinary innovation in 3D printing, bio-fabrication, and wearable electronics through collaborative industry and academic partnerships.

• Sustainable Manufacturing
• Laser Processing
• Additive Manufacturing
• +5 more

Professor Paul Mativenga holds the Chair in Multi-scale and Sustainable Manufacturing at the University of Manchester's School of Engineering. He serves as Director of the Laser Processing Research Laboratory (LPRL) and Head of the Manufacturing Group. His research develops engineering solutions for industrial sustainability challenges, focusing on resource-efficient manufacturing technologies including laser processing, additive manufacturing, micro-manufacturing, and low-carbon production systems. His work advances circular economy principles in industrial contexts. Professor Mativenga's research has been funded by EPSRC, Innovate UK, and industrial partners. He holds leadership roles including membership in the International Academy of Production Engineering and chairs the 2025 Life Cycle Engineering (LCE) conference. At Manchester, he serves on the University Senate and Board of Governors, and previously held positions as Vice Dean for Social Responsibility and EDI, and Head of Department.

İlker TemizerView profile

Professor

• Computational Mechanics
• Multiscale Modeling
• Multiphysics Problems
• +2 more

İlker Temizer is a Professor and Chair of Mechanical Engineering at Bilkent University, where he leads the Computational Multiscale Mechanics Laboratory (CMML). His research focuses on computational mechanics, multiscale-multiphysics modeling of heterogeneous materials, and interface behaviors. Research interests include computational homogenization techniques for materials and interfaces, thermomechanical contact problems, and isogeometric analysis. His work bridges theoretical mechanics with applied engineering solutions. Recent publications emphasize multiscale modeling in density functional theory, hydrodynamic lubrication texture optimization, and smart material design, demonstrating consistent innovation in computational mechanics methodologies.

Alan John Faulkner-JonesView profile

Associate Professor

• 3D Bioprinting
• Stem Cell Engineering
• Tissue Engineering
• +4 more

Alan John Faulkner-Jones is an Associate Professor in Mechanical Engineering at Heriot-Watt University, serving as Senior Programme Director/Global Head of Mechanical Engineering since 2023. Previously, he led the Graduate Apprenticeship (GA) programmes in Engineering and Data Science. He holds a MEng (2010) and PhD (2015) in Robotics & Cybertronics and Bioprinting from Heriot-Watt University. His research focuses on micro-scale 3D bioprinting of human pluripotent stem cells for drug development and personalized medicine, conducted in the Biomedical Microengineering Group at the Institute of Biological Chemistry, Biophysics and Bioengineering. He spent a month as a visiting scholar at Tsinghua University (Beijing) in 2015 testing novel biomaterials. Educations: MEng in Robotics & Cybertronics, Heriot-Watt University (2010) PhD in Bioprinting, Heriot-Watt University (2015) His research interests span bioengineering, 3D bioprinting, and ethical implications of bioprinted organs. His work contributes to UN SDGs related to health and innovation. Notable awards include the 2024 Pioneering in Education Teaching Excellence Award (Highly Commended) and multiple early-career research prizes. He actively engages in academic activities, speaking at events like the Additive Manufacturing & 3D Printing conference (2015) and contributing to policy discussions via publications cited by 4 policy sources. His lab affiliations include the Biomedical Microengineering Group and collaborations with Tsinghua University.