Find Academic Supervisors

David BrowneView profile

Professor

• Materials Science
• Metallurgy
• Phase Transformations
• +6 more

David Browne is a Professor and Head of Subject in Materials Science & Engineering at University College Dublin (UCD). He holds a DPhil from the University of Oxford and has held academic roles at UCD since 1990, including Vice-Principal for Research, Innovation, and Impact (2014–2019). His research focuses on alloy solidification, bulk metallic glasses, additive manufacturing, and microgravity experiments. He has published over 230 papers and led projects such as the ESA-funded microgravity solidification study in 2015. His Phase Transformation Research Group (PTRG) explores topics like dendritic growth modeling, welding processes, and biomedical applications of BMGs. Browne has supervised numerous PhD students and collaborates internationally with institutions like Yale University and TU Delft. Education: BE (Mechanical Engineering, UCD, 1985), MSc (Materials Science, Oxford, 1987), DPhil (Oxford, 1996). Professional memberships include TMS and MIEI. He co-edits Philosophical Magazine Letters and has pioneered experimental and computational methods for solidification analysis, including in-situ synchrotron imaging and microgravity studies. Research highlights include developing methodologies for quantifying dendrite growth and solute pile-up, advancing additive manufacturing models, and discovering strain-induced ductility in BMGs. His work on space-optical applications and medical devices demonstrates interdisciplinary impact. Current interests include high entropy alloys and sustainable material design.

Niels AageView profile

Associate Professor

• Topology Optimization
• Acoustics and Vibroacoustics
• Biomechanics
• +5 more

Niels Aage is an Associate Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His research focuses on topology optimization, biomechanics, and multiphysics modeling, with applications in acoustic devices, biomedical implants, and microelectromechanical systems (MEMS). He holds roles such as Vice President of the International Society for Structural and Multidisciplinary Optimization (2023–2027). Education and Professional Background: Conducted a 5-month research visit at the University of Colorado, Boulder (USA) in 2010. Specializes in giga-scale numerical modeling, finite element methods, and topology optimization algorithms. Research Interests: Develops novel methods for topology optimization of fluidic, thermal, and acoustic systems. Explores applications in patient-specific spinal implants, metamaterials with vibroacoustic bandgaps, and nonlinear dynamic substructuring. His work integrates machine learning and reduced-order modeling for efficient simulation. Publications: Over 100 peer-reviewed articles, including recent contributions on connectivity promotion in topology optimization (2025), vibroacoustic metamaterial design (2025), and anatomically conforming spinal fusion cages (2024). Research emphasizes high-resolution modeling and bridging computational design with additive manufacturing. Scientific Awards: ISSMO Haftka Young Investigator Award (2021), Equinor Prize 2020, and Hyperion Innovation Excellence Award (2017). Recognized for contributions to structural optimization and computational mechanics. Advising and Grants: Supervises multiple PhD projects, including work on vibroacoustic shape optimization, quantum-opto-mechanical systems, and smart hearing aid modeling. Engages in collaborative projects funded by industry and academia. Labs/Teams: Collaborates with DTU’s Solid Mechanics group and industry partners on projects involving topology optimization, multiphysics simulation, and biomedical engineering. Active in international conferences and serves on editorial boards.

Lang YuanView profile

Associate Professor

• Additive Manufacturing
• Materials Science
• Computational Materials Engineering
• +3 more

Lang Yuan is an Associate Professor in the Department of Mechanical Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing. His research focuses on additive manufacturing, materials science, and computational materials engineering, with expertise in microstructure evolution, solidification defects, and X-ray characterization techniques. Research interests include developing computational models for grain structure prediction during laser powder bed fusion, in-situ monitoring of melt pool dynamics, and defect characterization in additively manufactured materials. Recent work emphasizes process-structure-property relationships in alloys and ceramics, with applications in aerospace and energy sectors. Methodologies combine synchrotron imaging, discrete element modeling, cellular automata simulations, and machine learning approaches to advance manufacturing quality control and material design.

Frank SpinaleView profile

Professor

• Cardiovascular Remodeling
• Heart Failure
• Extracellular Matrix
• +4 more

Frank Spinale is a Professor and Director of Research at the University of South Carolina School of Medicine Columbia. With a dual MD/PhD background, his career spans over three decades of translational cardiovascular research, primarily focused on heart failure and cardiac remodeling mechanisms. Education: BS in Biology from Northeastern University (1977-1979), MS in Biometry from Medical University of South Carolina (1982-1984), MD from Medical University of South Carolina (1990-1993) Research Focus: Cardiovascular remodeling, extracellular matrix biology, matrix metalloproteinases in heart failure Current Role: Director of Research at USC School of Medicine Columbia Dr. Spinale's research has centered on the role of extracellular matrix (ECM) alterations in cardiovascular disease, particularly the dysregulation between matrix metalloproteinases (MMPs) and their tissue inhibitors (TIMPs) in heart failure progression. His work has established causal relationships between MMP activity and adverse myocardial remodeling, especially following myocardial infarction. His research spans from basic molecular mechanisms to clinical applications, including the development of diagnostic biomarker panels for heart failure risk stratification. Analysis of his publication record shows consistent research productivity over three decades, with recent work focusing on myocardial stiffness estimation, mitral valve pathology, and novel therapeutic approaches for cardiac remodeling. His research bridges basic science with clinical applications, maintaining strong translational focus throughout his career. Dr. Spinale has received NIH funding for his research on MMP/TIMP dynamics in heart failure and has contributed significantly to understanding the structural underpinnings of cardiac remodeling. His work has influenced both basic cardiovascular science and clinical approaches to heart failure management.

Ben BaylisView profile

Research Fellow

• Biophysics
• Nanotechnology
• Materials Science
• +3 more

Ben Baylis is a Postdoctoral Scholar at the University of Guelph supervised by John Dutcher, specializing in biophysical characterization of soft nanomaterials using atomic force microscopy (AFM). His work focuses on phytoglycogen nanoparticles, examining structural and mechanical responses to acid hydrolysis, shear extrusion, and hydration. His research spans biophysics, nanotechnology, and materials science, with significant contributions to understanding nanoparticle deformability, binding affinity, and biomedical applications. Recent extensions include machine learning analysis of polymer pipes and zebrafish heart regeneration studies investigating triiodothyronine's role in immune response and tissue repair. Analysis of his 2017-2025 publications reveals consistent innovation in AFM methodologies for soft matter, particularly in mapping how processing conditions alter phytoglycogen properties. His work bridges fundamental nanoscience with practical applications in biomedicine (heart regeneration) and food science (oleogel structuring). Scientific Awards: No awards mentioned in source text. Advising and Grants: No student supervision or grant details provided; current role indicates active postdoctoral research under Prof. Dutcher's mentorship. Labs and Teams: Integral member of John Dutcher's research group at the University of Guelph, advancing soft matter physics through cutting-edge AFM techniques and interdisciplinary collaborations.

Aashutosh MistryView profile

Assistant Professor

• Energy Technologies
• Electrochemistry
• Battery Science
• +3 more

Aashutosh Mistry is an Assistant Professor in the Department of Mechanical Engineering at the Colorado School of Mines. His research group operates from CoorsTek 207, focusing on experimental and theoretical approaches to advance energy technologies. Contact details include the email aashutosh.mistry@mines.edu and phone number 832-730-9071. Mistry's research integrates physics-based modeling, controlled experiments, and machine learning to bridge gaps between novel materials and scalable energy devices. Key interests encompass battery science, ion transport dynamics, multiscale electrolyte behavior, and sustainable energy transitions. His work targets applications like electrified transportation, solid-state batteries, and electrochemical systems optimization. Recent publications emphasize data-driven electrochemistry, electrolyte transport mechanisms, and machine learning applications. Trends include operando characterization of battery materials, predictive modeling of ion motion, and sustainability-focused energy research. Articles frequently utilize advanced techniques like electrophoretic NMR and computational simulations to resolve transport complexities. Mistry leads an active research group developing tools for microstructure analysis and transport phenomena. The team synergizes multiscale experimentation with theoretical frameworks to address energy technology challenges.

Leon WegnerView profile

Professor

• Structural Engineering
• Materials Science
• Civil Engineering
• +4 more

Leon Wegner is a Professor in the Department of Civil Geological and Environmental Engineering at the University of Saskatchewan's College of Engineering. He holds a B.E. from the University of Saskatchewan, an M.A.Sc. from the Technical University of Nova Scotia, and a Ph.D. from MIT. His research focuses on structural engineering and materials, including fretting fatigue of bolted connections, structural health monitoring, cold weather masonry materials, composite materials mechanics, and cement-based materials. Current projects include developing antifreeze admixtures for subfreezing masonry construction and improving fatigue evaluation for potash mineshafts. He has openings for one PhD and two MSc students in industry-sponsored research on bolted steel connections. Education: B.E. (Saskatchewan) M.A.Sc. (Technical University of Nova Scotia) Ph.D. (MIT) Research Interests: Fretting Fatigue Structural Health Monitoring Cold-Weather Materials Composite Mechanics Cement Chemistry Recent Work Trends: His publications emphasize vibration-based damage detection for bridges, optimization of composite materials, and cold-weather construction solutions. He combines experimental and numerical approaches in projects like Diefenbaker Bridge monitoring and potash mine shaft evaluations. Grants and Advising: Supervises graduate students on industry-sponsored projects. His work aligns with infrastructure durability and material innovation in harsh environments.

Mojtaba KahriziView profile

Professor

• Material Sciences
• Solid State Devices
• Microelectromechanical Systems (MEMS)
• +5 more

Dr. Mojtaba Kahrizi is a Professor in the Department of Electrical and Computer Engineering at Concordia University, Montreal, Canada. His research focuses on Material Sciences, Solid State Devices, Microelectromechanical Systems (MEMS), and Nanotechnology with applications in biomedical sensors, energy storage, and greenhouse gas detection. He leads the Nanodevice and MEMS laboratories, overseeing interdisciplinary projects involving micro/nanostructure fabrication and sensor development. His work integrates experimental and computational methods, yielding over 200 journal/conference publications. Research Interests: - Micro/Nano Fabrication Techniques - Gas Ionization Sensors (e.g., ZnO/Si nanowires) - Photonic Sensors (Fiber Bragg Gratings, Surface Plasmon Resonance) - Energy Applications (Solar Cell Efficiency Enhancement) - Structural Health Monitoring Lab Members: Supervises 15+ graduate students (PhD/M.A.Sc.) across nanodevices, MEMS, and photonics domains Key Projects: Low-cost nanowire fabrication, FBG sensor networks, and graphene-based biosensors Expertise: SEM/TEM characterization, finite element modeling, and multiparameter sensing systems Lab Infrastructure Conducts research in two core labs: Nanodevice Lab : Nanofabrication, nanowire growth, and advanced material characterization MEMS Lab : Microstructure etching, optical sensor prototyping, and vibration analysis Publication Trends Recent works emphasize: Graphene-based biosensors for viral/bacterial detection FBG sensors for simultaneous strain/temperature/vibration monitoring Nanowire-enabled low-voltage gas sensors Perovskite solar cell interface engineering

Ayhan InceView profile

Professor

• Computational Damage Modeling
• Fracture Mechanics of Materials
• Fatigue Analysis
• +5 more

Dr. Ayhan Ince is a Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University. His expertise spans computational damage modeling, fracture mechanics of materials, short crack growth behavior, and machine learning-based approaches in engineering. Education: Ph.D. in Mechanical Engineering, University of Waterloo (2007–2012) M.Sc. in Mechanical Engineering, University of Waterloo (2004–2006) Research Interests: Dr. Ince’s work focuses on advanced computational methods for predicting material behavior under cyclic and multiaxial loading conditions. His research integrates peridynamics, finite element analysis, and artificial neural networks to study fatigue crack propagation, residual stress computation in additive manufacturing, and durability assessment of metallic alloys. Key Contributions: Development of peridynamic-based fatigue crack propagation models Integration of machine learning for J-integral prediction and stress-strain analysis Investigation of VHCF behavior in laser powder bed fused materials Advising & Grants: Dr. Ince supervises graduate students in Mechanical Engineering (MASc and PhD programs). His research has been supported by grants focusing on fatigue analysis, additive manufacturing, and computational mechanics.

Riaheen FarzanaView profile

Assistant Professor

• Human Resource Management
• Entrepreneurship
• Gender Studies
• +3 more

Riaheen Farzana, Ph.D., is an Assistant Professor in the Department of Management, International Business, and Supply Chain Management at the Thomas College of Business and Economics, University of North Carolina at Pembroke. She holds a Ph.D. from Southern Illinois University, MBA from Southeast Missouri State University, and M.Com./B.Com. (Hons.) from the University of Dhaka, Bangladesh. Her research focuses on human resource management, entrepreneurship, gender dynamics, and micro-financing. She employs theoretical frameworks like Role Conguity Theory to explore female entrepreneurship in developing economies. Her work also examines supply chain practices, gender diversity impacts on firm performance, and motivational factors influencing entrepreneurial intentions. Dr. Farzana has taught diverse business-related courses in the U.S. and Bangladesh. Her publications span topics from microfinance empowerment to equity market analysis. She actively reviews for the Academy of Management Conference and presents at academic seminars. Her educational journey includes degrees from Bangladesh and the U.S., with prior faculty experience at Converse University, SC.

Vlassopoulos DimitrisView profile

Professor

• Rheology
• Polymer Physics
• Material Science
• +3 more

Prof. Vlassopoulos Dimitris is a prominent academic affiliated with the University of Crete (Department of Materials Science & Technology) and the Foundation for Research & Technology - Hellas (FORTH), Institute of Electronic Structure & Laser. His career spans over three decades, with roles including Professor (2007–present), Associate Professor (2002–2007), and Adjunct Professor at the University of Crete. He holds a Ph.D. in Chemical Engineering from Princeton University (1990) and has held positions at Mobil Research & Development Corporation (1990–1991) and Metelco S.A. (1983–1984). Education: Diploma in Chemical Engineering, National Technical University of Athens (1983) M.A. in Chemical Engineering, Princeton University (1986) Ph.D. in Chemical Engineering, Princeton University (1990) Research Interests: His work focuses on molecular rheology, branched/ring polymers, soft colloids, nonlinear rheometry, and interfacial viscoelasticity. Key areas include polymer network dynamics, colloidal gels, and supramolecular assemblies. His contributions bridge fundamental rheology and applications in materials science. Awards: FORTH Prize for Basic Research (2009) Society of Rheology Publication Award (2011) Weissenberg Award (2015) E.C. Bingham Medal (2019) Advising & Grants: While student names are not listed, his research has been supported by grants from institutions like FORTH. His work often involves interdisciplinary collaborations, such as developing 3D bioprinting methods and exploring hagfish slime mechanics. Labs/Teams: Active in FORTH's Institute of Electronic Structure & Laser and collaborates with international groups on projects like supramolecular polymer networks and nanocomposite rheology.

• Geotechnical Earthquake Engineering
• Discrete Element Method (DEM)
• Lattice Boltzmann Method (LBM)
• +8 more

Nicholas Sitar is the Edward G. Cahill and John R. Cahill Professor of Civil Engineering at the University of California, Berkeley , affiliated with the Department of Civil and Environmental Engineering under the College of Engineering. His career spans decades of pioneering work in geotechnical earthquake engineering and computational geomechanics. Education : Ph.D. in Civil Engineering (Geotechnical) from Stanford University (1979), M.S. in Geology (Hydrogeology) from Stanford University (1975), B.A.Sc. in Geological Engineering from the University of Windsor, Canada (1973). Research Interests : Dr. Sitar’s research focuses on geotechnical earthquake engineering , seismic slope stability , and rock erosion , with a strong emphasis on computational methods like the Discrete Element Method (DEM) and Lattice Boltzmann Method (LBM). He pioneered the application of wireless sensor networks for seismic monitoring and developed advanced DEM-LBM coupling techniques to model rock-fluid interactions, including tsunami waves triggered by rock slope failures and scour in unlined rock channels. Publication Trends : His recent work highlights 3D numerical modeling of granular flows, rock slope kinematics, and depositional fabric analysis using X-ray tomography. He explores seismic earth pressures, levee stability under variable seepage, and dynamic rock-water interactions, often integrating stochastic methods and high-fidelity simulations. Contact : He can be reached at sitar@berkeley.edu in his office at 449 Davis Hall, with office hours on Wednesdays and Thursdays.

Matthew GleesonView profile

Teaching Professor

• Volcanology
• Igneous Petrology
• Magmatic Systems
• +3 more

Matthew Gleeson is a Teaching Professor at the University of California, Berkeley specializing in Volcanology and Igneous Petrology. His research employs computational and analytical methods to investigate magmatic systems from mantle melting to volcanic eruptions, with fieldwork focused on Hawaiian and Galápagos volcanic centers. Research interests center on magma storage dynamics, plumbing system architecture, and eruption triggers. Gleeson integrates fluid inclusion barometry, microstructural analysis, and geochemical modeling to constrain pressure-temperature conditions in magma chambers. Key study sites include Kīlauea, Mauna Loa, Hualālai, and Galápagos volcanoes like Isla Floreana and Wolf, examining volatile systematics and magma evolution across timescales. Recent publications reveal a methodological shift toward rapid-response techniques and computational tools. His work demonstrates persistent mantle storage across volcanic systems, variations in magma plumbing during caldera collapses, and the development of open-source software like pyMELTScalc. These studies collectively advance predictive models for volcanic behavior through precise barometric constraints.

Xiaochun LiView profile

Professor

• Scifacturing (science-driven manufacturing)
• Nanotechnology Enabled Metallurgy
• Scalable Nanomanufacturing
• +2 more

Xiaochun Li is a Professor at the Department of Mechanical and Aerospace Engineering within the College of Engineering at the University of California, Los Angeles. Holding the Raytheon Endowed Professorship in Manufacturing Engineering, his work bridges materials science and advanced manufacturing technologies. Education: PhD (Mechanical Engineering, Stanford University, 2001), MS (Industrial, System and Welding Engineering, Ohio State University, 1997), BS (Mechanical Engineering and Applied Physics, Tsinghua University, 1992) Research Focus: Dr. Li specializes in science-driven manufacturing (scifacturing), leveraging nanotechnology to revolutionize metallurgy and scalable nanomanufacturing. His work explores smart manufacturing systems, additive manufacturing techniques, and nanoparticle-enabled phase control to overcome traditional material processing limitations. Publication Trends: His research spans nanoparticle integration in metals, fusion-based manufacturing innovations, and sensor-embedded process monitoring. Topics include unconventional welding methods, solidification control, composite synthesis, and thermal behavior analysis, reflecting interdisciplinary expertise in materials science, mechanical engineering, and nanotechnology. Scientific Recognition: Awards include the prestigious SME Frederick W. Taylor Research Medal (2025), ASME William T. Ennor Manufacturing Technology Award (2022), and Fellowships from ASME, SME, and the International Society of Nanomanufacturing. His NSF CAREER Award (2002) and multiple AFS honors highlight early-career impact. Laboratory: Dr. Li leads the Scifacturing Laboratory , which develops science-driven manufacturing solutions that address critical challenges in materials processing and industrial scalability.

Fei XueView profile

Research Fellow

• Machine Learning
• Medical Imaging
• Electromagnetic Imaging
• +3 more

Dr. Fei Xue is a Postdoctoral Research Fellow at the School of Electrical Engineering and Computer Science, The University of Queensland. Her research focuses on integrating machine learning with medical imaging technologies, particularly microwave imaging modalities. She holds a Bachelor's degree from Hebei University of Technology, a Master's degree from Hebei Polytechnic University, and a PhD from The University of Queensland. Current research interests include: Deep learning applications in medical imaging Electromagnetic image reconstruction Development of advanced loss functions for microwave imaging Transfer learning techniques in biomedical signal processing Utilization of large databases for training universal neural networks Her recent work explores cascaded convolutional neural networks and attention-based architectures for improved medical imaging. Earlier research focused on materials science topics including: Ti (C, N) precipitation in enamel steels Hydrogen embrittlement effects in TWIP steel Temperature measurement systems using CCD and MATLAB