Find Academic Supervisors

• Robustness and progressive collapse of structures
• Assessment and retrofitting of structures
• Sustainable infrastructure materials
• +7 more

Dr Levingshan Augusthus Nelson is a Lecturer at The University of Salford's School of Science, Engineering & Environment, affiliated with the Centre for Future Engineering. He holds a PhD in Structural Engineering from the University of Cambridge (2012) and a BSc Eng (Hons) in Civil Engineering from the University of Moratuwa (2006). His research focuses on robustness of structures, retrofitting, sustainable materials, and quasi-brittle fracture mechanics. He has received awards including the Clancy Prize (2023), Research into Practice Award (2022), and Lundgren Research Award (2010). Teaching includes courses like Tall Building Design and Civil Engineering Surveying . He supervises PhD students and contributes to UN Sustainable Development Goals related to resilient infrastructure and sustainable cities. Recognitions include roles as an ICE Chartered Professional Reviewer, EPSRC Peer Review College member, and editorial roles in journals like Masonry International . His research outputs span advanced analytical models for FRP-concrete interfaces, scaling laws for progressive collapse studies, and innovative masonry arch bridge assessment methods. Key projects include KTP collaborations with industry and studies on geomechanical effects in shale production.

Patrick Le TallecView profile

Professor

• Computational Mechanics
• Nonlinear Mechanics
• Domain Decomposition Methods
• +5 more

Patrick Le Tallec is a Professor of Mechanics at École Polytechnique in France, where he currently serves as Dean of the Bachelor Program and is a member of the M3DISIM project. His distinguished academic career spans multiple institutions including Université Paris Dauphine, INRIA (French National Institute for Research in Digital Science and Technology), and international universities such as Stanford University, University of Wisconsin, and Shanghai Jiao Tong University. He has held leadership positions including Vice President for Education and Head of the Laboratory of Solid Mechanics at École Polytechnique. His educational background includes: Graduate from École Polytechnique Ph.D. in Engineering Mechanics from The University of Texas at Austin (1980) Thèse d'Etat in Applied Mathematics from Université Pierre et Marie Curie in Paris (1981) Professor Le Tallec's research focuses on computational mechanics and applied mathematics with expertise in nonlinear mechanics, domain decomposition methods, and multiscale modeling. His work bridges theoretical mathematics with practical engineering applications, particularly in material science and fluid-structure interactions. He has developed advanced numerical methods for elasticity, viscoelasticity, and fluid dynamics with applications in industrial manufacturing and biomedical engineering. His recent publications demonstrate progression from foundational numerical methods to sophisticated multiscale approaches addressing complex engineering challenges in material science. The research shows particular emphasis on rubber mechanics, fatigue analysis, and computational methods for nonlinear structures, reflecting his ongoing commitment to solving real-world engineering problems through mathematical innovation. His scientific honors include: CISI award in Scientific Computing Prize Blaise Pascal of the French Academy of Sciences Chevalier des Palmes Académiques Chevalier de la Légion d'Honneur Officier de l'Ordre National du Mérite Professor Le Tallec has directed over 40 Ph.D. students from 10 different nationalities, demonstrating significant impact in academic mentoring. His research has been supported through extensive collaborations with industrial partners including Michelin, PSA Group, and Dassault Aviation, as well as scientific advisory roles at the French Alternative Energies and Atomic Energy Commission. He has served as president of the French Society of Applied and Industrial Mathematics and held editorial positions with leading journals in his field. His laboratory work centers around computational mechanics research, particularly through the M3DISIM project at École Polytechnique. His research team brings together mathematicians, engineers, and computer scientists to develop innovative solutions for complex problems in material science and structural mechanics, with applications ranging from industrial tire manufacturing to biomedical engineering.

Sabrina VantadoriView profile

Associate Professor

• Structural Mechanics
• Fatigue of Materials
• Fracture Mechanics
• +7 more

Sabrina Vantadori is an Associate Professor in the Department of Engineering and Architecture at the University of Parma, Italy. Her academic role centers on structural mechanics, with leadership responsibilities as President of TC3 (Fatigue of Engineering Materials and Structures) in the European Structural Integrity Society (ESIS) and Vice Head of the 'Prove Materiali e Strutture' Laboratory at the University of Parma. Her research focuses on fatigue and fracture mechanics of both traditional and advanced materials across multiple length scales. Key areas include crack propagation, mechanical behavior of nanomaterials, numerical modeling of structural components, and sustainable construction materials like pervious and earthen concrete. She applies both experimental and computational methods to analyze structural integrity and failure mechanisms. The recent publications (2025) reflect a strong trend in multi-scale material modeling , nanocomposite behavior , and eco-friendly structural materials , with interdisciplinary applications in civil and mechanical engineering. Her work bridges theoretical mechanics with practical engineering solutions for material durability and sustainability. She teaches a range of courses including Advanced Structural Mechanics , Numerical Modelling of Advanced Structural Materials , and Theory of Construction across undergraduate and graduate programs in Civil Engineering and Architecture. Her teaching spans multiple academic years from 2013/2014 to 2025/2026, indicating sustained academic engagement. Leadership and Service: President, TC3 'Fatigue of Engineering Materials and Structures', ESIS (since October 2020) Vice Head, Laboratory 'Prove Materiali e Strutture', University of Parma (since February 2021) While no formal list of advisees or awards is provided, her co-authorship on numerous research papers suggests active mentorship and collaboration. There is no mention of grants, but her ongoing research output indicates active project involvement. Her laboratory role reinforces her experimental and technical expertise in materials testing and structural controls.

• Composite Materials
• Additive Manufacturing
• Polymer Engineering
• +3 more

R. Byron Pipes is the John L. Bray Distinguished Professor of Engineering at Purdue University's College of Engineering, holding affiliations with the Departments of Aeronautics and Astronautics, Chemical Engineering, and Materials Engineering. His research focuses on advanced composite materials, additive manufacturing, polymer processing, and the development of novel manufacturing techniques for high-performance materials. He is particularly known for contributions to composite structure optimization, thermoplastic composites, and material characterization via computational and experimental methods. Dr. Pipes' work integrates multi-scale modeling, digital thread integration, and machine learning to address challenges in composite manufacturing, including fiber orientation control, thermal management, and defect prediction. His research bridges fundamental material science with applied engineering solutions, emphasizing sustainability through upcycling strategies and energy-efficient processes. He has pioneered methodologies for compression molding of prepreg platelet composites, stamp forming of thermoplastics, and embedded heating systems in additive manufacturing. His academic leadership includes roles on committees such as the Dean's Awards Committee, reflecting his institutional contributions. Scientific recognition includes the prestigious John L. Bray Distinguished Professorship, underscoring his impact on engineering education and research. His lab focuses on translating innovations from computational simulations to real-world manufacturing applications, with a strong emphasis on aerospace and automotive material systems.

Muhsin CelikView profile

Professor

• Semiconductor Technology
• Microelectronics
• Solid-State Physics
• +3 more

Muhsin Celik is a Professor of Practice in the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute (RPI). Previously, he held leadership roles in semiconductor research and development at Motorola, Freescale Semiconductor, STMicroelectronics, and GlobalFoundries. He led the 14nm FINFET program at GlobalFoundries’ Fab 8 facility and contributed to advanced semiconductor technologies such as FDSOI and high-k/metal gate devices. Celik earned his Ph.D. in Electrical Engineering from North Carolina State University (NCSU) with a thesis on in-situ surface cleaning for silicon selective epitaxy. He also holds an M.S. from NCSU and a B.S. in Electrical and Electronics Engineering from Middle East Technical University (METU). Education: Ph.D., Electrical Engineering, NCSU (1998) M.S., Electrical Engineering, NCSU B.S., Electrical and Electronics Engineering, METU Research Interests: Semiconductor device fabrication and scaling SOI and FDSOI technologies FINFET architecture and high-performance computing High-k/metal gate stacks Strained silicon engineering Power-efficient transistor design Awards: IEEE Senior Member Professional Contributions: Project Leader at SUNY Nanotech (STMicroelectronics) Senior Director at GlobalFoundries Fab 8 Member of CNSE’s Industrial Advisory Board Labs & Collaborations: Motorola Advanced Products Research & Development Labs IBM International Semiconductor Development Alliance GlobalFoundries Fab 8

Can AtacaView profile

Associate Professor

• Computational Materials Science
• Quantum Monte Carlo
• Density Functional Theory
• +3 more

Can Ataca is an Associate Professor in the Department of Physics at the University of Maryland, Baltimore County (UMBC), affiliated with the College of Natural and Mathematical Sciences. He directs the STEAM Lab (Simulation, Theory and Engineering of Advanced Materials), focusing on computational investigations of materials for energy, device, and filtration applications using methods spanning density functional theory (DFT), quantum Monte Carlo (QMC), and molecular dynamics (MD). He holds a Ph.D. in Physics from Bilkent University's National Nanotechnology Research Center (Turkey), with double undergraduate degrees in Physics and Electrical Engineering. Prior to UMBC, Ataca was a postdoctoral associate at MIT's Department of Materials Science and Engineering and a Senior Research Scientist at Brown University's Department of Chemistry. Ataca's research targets low-dimensional materials, concrete, electrode materials, and molecular systems, emphasizing electronic, magnetic, and thermal properties under extreme conditions. His publications demonstrate extensive use of machine learning for materials property prediction, surface functionalization studies, and quantum mechanical simulations of 2D systems. His group develops computational methodologies bridging multiple length/time scales. No specific awards, students, or grants are detailed in the provided materials. The STEAM Lab collaborates with national laboratories including NASA and welcomes students/postdocs interested in computational condensed matter physics.

Patrick HopkinsView profile

Professor

• Experimental Condensed Matter Physics
• Atomic, Molecular and Optical Physics
• Thermal Transport
• +3 more

Patrick Hopkins is a Professor in the Department of Mechanical and Aerospace Engineering at the University of Virginia, with courtesy appointments in the Department of Materials Science and Engineering and the Department of Physics. He leads the ExSiTE Lab (Experiments and Simulations in Thermal Engineering), focusing on energy transport and coupled photonic interactions with condensed matter, soft materials, and nanosystems. Education : Ph.D. in Mechanical and Aerospace Engineering (2008), B.S. in Mechanical Engineering, and B.A. in Physics (2004), all from UVA. Postdoctoral work at Sandia National Laboratories (2008–2011) as a Harry S. Truman Fellow. Research Interests : Thermal conductivity measurement, phonon-polariton interactions, electron-phonon coupling, and interfacial heat transfer in nanosystems. Scientific Awards : AFOSR Young Investigator, ONR Young Investigator, ASME Bergles-Rohsenow Award, PECASE awardee, and ASME Fellow. Recent Publications explore topics including hyperbolic phonon-polaritons, thermal transport in chalcogenides, and advanced metrology techniques.

• Composite Materials
• Basalt Fibre Engineering
• 3D Woven Structures
• +5 more

Calvin Ralph is a Senior Lecturer in Mechanical Engineering at the School of Engineering, Ulster University, Belfast campus. His research focuses on composite materials and their mechanical behavior under impact loading, with a particular emphasis on novel 3D woven structures and natural/synthetic fibre hybrids. Key research areas include: 3D Woven Composite Architecture Basalt and Carbon Fibre Reinforcement Impact Resistance and Energy Absorption Sustainable Textile Supply Chains Smart Composite Manufacturing Recent work explores biomimetic design principles for composite optimization and green manufacturing initiatives in Northern Ireland. His projects often involve collaboration with industry partners and government agencies.

Mohammad RafieeView profile

Adjunct Professor

• Advanced materials
• Sustainable materials
• Electronic materials
• +12 more

Mohammad Rafiee is an Adjunct Professor in the Department of Mechanical Engineering at the Faculty of Engineering, University of Ottawa. He holds affiliations with City University of Hong Kong, École Polytechnique de Montréal, National Research Council Canada, and Advanced Microelectronic Technologies, Sanmina. His research focuses on Advanced materials (graphene, carbon nanotubes, piezoelectric composites) Additive manufacturing (multi-material 3D/4D printing, coaxial deposition) Mechanical/thermal analysis of composite structures Smart devices (sensors, actuators, energy harvesters) Numerical modeling (finite element analysis, nonlinear dynamics) Recent publications highlight trends in Nonplanar additive manufacturing of piezoelectric devices Multiscale graphene/epoxy composites for vibration damping Thermal stability of nanomaterial-reinforced laminates 4D printing applications Structural health monitoring via machine learning Development of polymer-derived ceramics Scientific awards include Ontario Trillium Scholarship Fonds de Recherche du Québec – Nature et technologies (FRQNT) World’s Top 2% Scientists (Stanford, since 2020) Top 1% most cited authors in materials science

Fuda NingView profile

Assistant Professor

• Additive Manufacturing
• Process Innovation
• Process Modeling and Simulation
• +3 more

Fuda Ning is an Assistant Professor in the School of Systems Science and Industrial Engineering at Binghamton University. He holds a PhD in Industrial, Manufacturing, and Systems Engineering from Texas Tech University (2018), and bachelor's and master's degrees in Mechanical Engineering from Dalian University of Technology (2014). His research focuses on additive manufacturing, process innovation, and systems engineering, with a particular emphasis on advanced materials processing, melt pool dynamics, and material extrusion techniques. He leads the AM² Lab, which explores material-process-structure-property relationships in additive manufacturing to develop high-performance components for critical industries. His work has secured $3.6M in funding from NSF, SEMI-FlexTech, and industry partners, resulting in over 90 publications and an H-index of 39. Education: Bachelor's and Master's in Mechanical Engineering, Dalian University of Technology (2011–2014) PhD in Industrial, Manufacturing, and Systems Engineering, Texas Tech University (2017–2018) Research Interests: Dr. Ning's work centers on advancing additive manufacturing technologies, including laser-based and extrusion-based processes, non-traditional machining, and process modeling. His lab investigates material behavior across length scales and employs numerical simulation, analytical modeling, and experimental analysis to optimize manufacturing outcomes. Key areas include metal additive manufacturing, composite materials, and multi-functional component design. Awards and Recognition: NSF CAREER Awardee (2025) Stanford’s Top 2% Scientist List (2021–present) Editorial Board Member for five manufacturing journals Grants and Funding: Projects include NSF and industry collaborations totaling $3.6M, supporting research on directed energy deposition, material extrusion, and multi-laser scan optimization. Outputs include 11 high-impact journal articles (IF >10) and over 6,700 citations. Labs and Teams: The AM² Lab collaborates on projects involving multi-material 3D printing, hybrid electronics, and fatigue-resistant components. Current openings exist for PhD students focused on metal additive manufacturing through experiments and simulations.

Matthew BrakeView profile

Associate Professor

• Structural dynamics
• Contact mechanics
• Impact mechanics
• +7 more

Matthew Brake is an Associate Professor of Mechanical Engineering at Rice University's George R. Brown School of Engineering, where he has been a faculty member since 2016. He leads the Tribomechadynamics Lab, which focuses on the confluence of structural dynamics, contact mechanics, and tribology to predict the response of assembled structures during the design stage and optimize interfacial components. Dr. Brake completed his entire academic training at Carnegie Mellon University, earning B.S. (2002), M.S. (2004), and Ph.D. (2007) degrees in Mechanical Engineering. Prior to joining Rice, he worked for nine years at Sandia National Laboratories. Ph.D., Mechanical Engineering, Carnegie Mellon University, 2007 M.S., Mechanical Engineering, Carnegie Mellon University, 2004 B.S., Mechanical Engineering, Carnegie Mellon University, 2002 His research spans multiple disciplines within mechanical engineering, with a particular focus on understanding interfaces across length scales from nano to macro. His work bridges theoretical foundations with practical applications in aerospace, defense, and automotive industries, addressing constitutive modeling for impact dynamics, joint mechanics, and the application of additive manufacturing for system-level assemblies. Dr. Brake has established himself as a leader in his field through significant contributions to nonlinear dynamics and joint mechanics, evident in his book 'The Mechanics of Jointed Structures' published by Springer and his founding of the Nonlinear Mechanics and Dynamics (NOMAD) Institute. Scientific Awards and Honors Future Energy Leaders Program, CERAWeek (2020) Favorite Teacher Honor, Will Rice College, Rice University (2019) The 2018 C. D. Mote Jr., Early Career Award The 2012 Presidential Early Career Award for Scientists and Engineers (PECASE) (awarded in 2014) ASME Fellow (2019) As a Fellow of the American Society of Mechanical Engineers since 2019, Dr. Brake has held several leadership positions including Executive Director of the ASME Research Committee on Mechanics of Jointed Structures, Vice Chair of the SEM Technical Division for Nonlinear Structures and Systems, and Vice Paper Solicitation Chair for the STLE Contact Mechanics Committee. He has also been a visiting academic at the University of Oxford and taught as an adjunct professor at the University of New Mexico. His Tribomechadynamics Lab hosts both graduate and undergraduate researchers as well as the Nonlinear Dynamics of Coupled Structures and Interfaces (ND-CSI) Summer Research Program, fostering the next generation of mechanical engineers and researchers in this specialized field.

Bin DongView profile

Assistant Professor

• Single Molecule Imaging
• Super-Resolution Imaging
• Single Particle Tracking
• +5 more

Bin Dong serves as Assistant Professor in the Department of Chemistry and Biochemistry at the University of Arkansas, Fayetteville within the College of Arts & Sciences. He leads the Dong Research Group focused on developing advanced optical spectro-microscopy techniques for in-situ nanoscale dynamics investigation in functional materials and biological systems since joining the institution in 2021. Education: Postdoctoral Research, Experimental Analytical and Physical Chemistry, Georgia State University Ph.D., Analytical Chemistry, Iowa State University B.S., Chemistry, Xiamen University Dr. Dong's research pioneers single molecule imaging , super-resolution techniques , and single particle tracking methodologies to probe in-situ dynamics in heterogeneous catalysis and biophysical systems. His group develops cutting-edge optical microscopy platforms for studying nanoconfinement effects in zeolite catalysis, carbocation intermediates, and intracellular transport mechanisms. Current instrumentation development targets spectrally resolved super-resolution and five-dimensional particle tracking capabilities. Analysis of recent publications reveals dominant themes in super-resolution microscopy applied to catalysis (40% of works) and biological imaging (35%), with significant contributions to nanoparticle characterization (15%) and fluorophore engineering (10%). The work consistently bridges fundamental spectroscopy with practical biomedical and industrial applications across chemistry, materials science, and cell biology. Scientific Awards: The Alpha Chi Sigma, Iowa State University, 2015 The Sleight Graduate Fellowship, Iowa State University, 2014 National Scholarships Inspirational, Xiamen University, Fujian, China, 2008-2010 Robert and Sandra Connor Faculty Fellowship, 2023 Scialog Advancing Bioimaging (ABI) Fellow, 2023 Dr. Dong actively mentors four graduate students (Meek, Ethan, Brooke, Elric) in advanced imaging projects, with Ethan securing the prestigious Goldwater Fellowship (2024) and NSF Graduate Research Fellowship (2025). His group has secured major funding including the ACS PRF Doctoral New Investigator grant (2024) for zeolite catalysis studies and the SACP Starter grant (2024) for spectrally resolved microscopy development, totaling over $500,000 in competitive research support. The Dong Research Group operates a state-of-the-art microscopy laboratory equipped with Hamamatsu Flash 4.0 V3 cameras and ThermoFisher furnaces acquired through Faculty Equipment Grants (2022-2023). The team maintains active collaborations with Dr. Tudor Moldoveanu's apoptosis research group and Dr. Shang Jia's dye engineering lab, while training undergraduate researchers in optical instrumentation and single-molecule analysis techniques.

Saeid HabibiView profile

Professor

• Control Systems
• Automotive Engineering
• Hybrid Vehicles
• +6 more

Dr. Saeid Habibi is a Tier I Canada Research Chair and a full Professor in the Department of Mechanical Engineering at McMaster University. He leads the Centre for Mechatronics and Hybrid Technologies (CMHT), specializing in advanced automotive research, including battery management systems, autonomous driving, and electric vehicle technologies. His research focuses on control systems, state estimation, and fault detection/diagnosis, with applications in automotive, aerospace, and robotics sectors. Education: B.Sc. (Hons) in Control Engineering, University of Dundee, 1986 Ph.D. in Control Engineering, University of Cambridge, 1990 Research Interests: Dr. Habibi’s work spans control systems, hybrid vehicles, battery management, and mechatronics . He has pioneered the Smooth Variable Structure Filter (SVSF) for state estimation and fault detection. His interdisciplinary expertise bridges academia and industry, with collaborations in automotive electrification, fluid power, and actuation systems. Key projects include the development of prognostic tools for battery health and the creation of advanced test equipment commercialized globally. Key Contributions: Founder and CEO of EECOMOBILITY Inc., a startup focused on AI-driven vehicle diagnostics. Director of the CMHT lab, which houses cutting-edge automotive research facilities. Recipient of prestigious awards, including the ASME and CSME Fellowships, and multiple NSERC grants. Awards & Recognition: 2022 Dean’s Doctoral Mentoring Honour Roll 2015 ASME Fellowship 2012 IEEE Transportation Electrification Best Paper Prize Teaching & Mentorship: Dr. Habibi teaches advanced courses in mechatronics and hybrid vehicle design. He has mentored over 100 graduate students, many of whom now hold leadership roles in industry and academia. His NSERC CREATE initiative promotes interdisciplinary education in vehicle electrification. Labs & Partnerships: CMHT collaborates with industry leaders like Ford, Honda, and Bombardier, focusing on electrified powertrains, battery diagnostics, and autonomous systems. The lab supports large-scale projects funded by NSERC and Ontario’s Research Fund.

• Advanced Materials Characterization
• Nuclear Engineering
• Aerospace Materials
• +3 more

Prof. Dong (Lilly) Liu is an Associate Professor in Engineering Science at the University of Oxford and a Tutorial Fellow at Trinity College. She joined Oxford in January 2024 from the University of Bristol, where she led the Experimental Mechanics of Advanced Materials group. Prior to that, she held fellowships at Oxford, including the 1851 Exhibition Royal Commission Fellowship and an EPSRC Postdoctoral Research Fellowship. Her research focuses on advanced materials in extreme conditions, with applications across nuclear energy, aerospace, and power electronics. Prof. Liu holds a BEng and PhD, though specific institutions are not detailed in the text. Her research interests include nano/microstructural characterization of materials under irradiation, elevated temperatures, and cryogenic environments. She has pioneered studies on nuclear graphite, TRISO fuel particles, and ceramic matrix composites using techniques like in situ tomography and neutron diffraction. She serves on international committees including ASTM, TMS, and IOM3, and organizes conferences globally. Her work has led to over £3 million in funding from bodies like EPSRC, STFC, and industrial partners such as Ultra Safe Nuclear Corporation and Canadian Nuclear Laboratories. Key awards include the 1851 Exhibition Royal Commission Fellowship, EPSRC Postdoctoral Fellowship, and Junior Research Fellowship. Her group collaborates with institutions worldwide, advancing materials science for next-generation energy systems and aerospace technologies.

Orkun FuratView profile

Lecturer

• Machine Learning
• Stochastic Modeling
• Spatial Statistics
• +5 more

Dr. Orkun Furat is a Lecturer at the Institute of Stochastics, University of Ulm, Germany, where he conducts research at the intersection of machine learning, stochastic modeling, and image analysis for materials science applications. His work focuses on developing advanced computational methods to characterize and reconstruct 3D microstructures from 2D image data, with significant contributions to battery materials and particle systems. His primary research interests include generative adversarial networks (GANs) and spatial stochastic models for tomographic image analysis of functional materials. He has pioneered techniques for super-resolving microscopy images, quantifying electrode degradation in batteries, and modeling particle morphology/separation processes in mineral processing. His interdisciplinary approach bridges statistics, computer science, and materials engineering through rigorous mathematical frameworks. Recent publications (2024-2025) reveal a concentrated focus on lithium-ion and all-solid-state battery technologies, particularly analyzing how operating conditions (charge rate, temperature, cycling) induce electrode degradation. Simultaneously, his particle systems research employs multidimensional stochastic models to optimize mineral beneficiation processes like flotation, using copula-based approaches for particle property distributions. Dr. Furat actively supervises seminar students in generative machine learning and spatial stochastic modeling while teaching core courses including Point Processes and Advanced Statistics. His research impact is evidenced by numerous invited talks at premier venues like the Dagstuhl Seminar (2025) and European Congress for Stereology (2025), where he presents as a plenary speaker on AI-driven microstructure reconstruction. Collaborating with interdisciplinary teams across materials science and engineering, his work on digital twins for battery electrodes and virtual materials testing has been featured in University of Ulm press reports (2024) highlighting applications in efficient battery recycling and sustainable material design. Current projects integrate generative AI with stochastic geometry to solve industrial-scale challenges in energy storage and mineral processing.