جست‌وجوی استاد و پژوهشگر

• Battery Materials Science
• Electrochemomechanics
• Li-ion Batteries
• +۳ مورد دیگر

Kejie Zhao is a Professor in the Department of Mechanical Engineering at Purdue University (West Lafayette campus). He leads research at the intersection of mechanics, materials science, and electrochemistry, focusing on energy storage systems and advanced functional materials. Research Interests: Prof. Zhao's work centers on electrochemomechanical phenomena in battery materials, with emphasis on Li-ion/sodium-ion batteries, solid-state electrolytes, and organic mixed ionic-electronic conductors. His group employs combined experimental-computational approaches to study degradation mechanisms, microstructure-property relationships, and extreme-condition performance of energy materials. Secondary research thrusts include nanomechanical characterization, 3D-printed sensors, and biomechanics of drug delivery systems. Publication Trends: His recent articles (2023-2025) predominantly address battery material innovations (85%), particularly cathodes/solid electrolytes (70%), with strong focus on chemomechanical degradation, fast-charging optimization, nanoscale characterization, and computational modeling. Approximately 20% explore organic electronics and sensor applications.

Gasser Abdelalمشاهده پروفایل

مدرس

• Multiscale Material Modeling
• Composite Materials Design and Manufacturing
• Aerospace Thermal Structures
• +۷ مورد دیگر

Gasser Abdelal is a Lecturer at the School of Mechanical and Aerospace Engineering, Queen’s University Belfast. His career spans academia and industry, including roles at Delft University of Technology, Emirates Aviation College, and the Egyptian Space Program (NARSS). He collaborates with aerospace giants like Airbus and Bombardier, focusing on multiscale modeling and simulation for structural optimization. Ph.D., West Virginia University (Mechanical and Aerospace Engineering) M.S., University of Cincinnati (Aerospace Engineering) B.S., Cairo University (Aeronautical Engineering) His research integrates multiscale material modeling , composite manufacturing simulation , and surrogate models to enhance aerospace design. Recent work includes viscoplastic behavior of CubeSat composites and space debris combustion systems , alongside innovative approaches to micromechanics-based damage prediction . Publications span topics like additive manufacturing phase transformations and offshore well sealing technologies . The Egyptian Journal of Remote Sensing and Space Sciences and Applied and Computational Mechanics feature his recent peer-reviewed articles. His lab at Queen’s University Belfast houses advanced testing equipment for material characterization and structural validation.

Marlon Boldriniمشاهده پروفایل

پژوهشگر

• Multiphysics Modeling
• Computational Fluid Dynamics
• Cloud Simulation
• +۴ مورد دیگر

Marlon Boldrini is a researcher at the Zurich University of Applied Sciences (ZHAW) , affiliated with the School of Engineering and the Sensors and Measuring Systems group. He specializes in multiphysics modeling, cloud-based simulations, and computational fluid dynamics, with a focus on industrial applications such as powder coating, biomass gasification, and electrostatic particle deposition. Role: Deputy Project Leader, Team Member Key Collaborations: Gernot Kurt Boiger, Viktor Lienhard, Bercan Siyahhan, Hassan Khawaja Research Focus: His work bridges multiphysics simulation frameworks (e.g., OpenFOAM, KaleidoSim) with cloud computing platforms, enabling efficient modeling of complex systems like non-Newtonian fluid dynamics and particle spray processes. He also investigates electrostatic particle behavior and tar formation in renewable energy systems. Projects: Includes simulation-driven development of aseptic process valves, Medtech Ventil Cloudsim, Novartis Cloud Simulation, and heating elements for hot air blowers.

Markus Roosمشاهده پروفایل

استاد

• Polymer Science
• Fuel Cell Technology
• Computational Physics
• +۳ مورد دیگر

Markus Roos is a Professor at the Institute of Computational Physics within the School of Engineering at Zurich University of Applied Sciences (ZHAW) in Winterthur, Switzerland, focusing on interdisciplinary research bridging computational physics, materials science, and energy technology. His core research areas include: Polymer Science, particularly glass transition phenomena in amorphous polymers Fuel Cell Technology, with emphasis on polymer electrolyte systems Computational modeling of thermodynamic and electrochemical processes Materials Science for energy applications Advanced thermodynamics and equation-of-state development Publication analysis reveals an evolution from applied fuel cell engineering (2001-2007) toward fundamental polymer physics (2021), demonstrating sustained expertise in energy materials with increasing theoretical depth. His work consistently integrates computational methods with experimental validation across both research domains. No scientific awards were documented in the available information. While specific advising activities and grant details remain unreported, his institutional affiliation suggests leadership in computational research teams. The Institute of Computational Physics context indicates involvement in collaborative projects addressing energy system modeling and advanced material simulations.

• Multiphysics Modeling
• Biomedical Engineering
• Fuel Cell Technology
• +۲ مورد دیگر

Dr. Guido Sartoris is a researcher at Zurich University of Applied Sciences (ZHAW) in the School of Engineering, affiliated with the ICP Multiphysics Modeling and Imaging group. Based at Technikumstrasse 71, Winterthur, he maintains active research contact via email guido.sartoris@zhaw.ch and phone +41 (0) 58 934 77 95. His research spans multiphysics computational modeling with distinct focus areas: biomedical engineering (blood flow/pressure diagnostics for INOCA), fuel cell technology (solid oxide and polymer electrolyte systems), and organic electronics (OLED device physics). Current projects include completed work on PhysioCath-microcatheter systems for coronary artery diagnostics, demonstrating interdisciplinary application of engineering principles to medical challenges. Publication trends from 2003-2013 reveal evolving expertise from fundamental nanotechnology and fuel cell modeling toward biomedical applications. His computational work consistently addresses transport phenomena, microstructural effects, and multi-dimensional simulation challenges across energy and medical domains, with recent emphasis on cardiovascular diagnostics. Dr. Sartoris participates in research projects as team member, notably the completed INOCA diagnostic initiative. No student advisement details are provided in available materials. He operates within ZHAW's ICP Multiphysics Modeling and Imaging framework, which integrates advanced computational techniques for complex engineering problems requiring coupled physics simulations.

Roman Pascal Schärerمشاهده پروفایل

پژوهشگر

• Electrochemical Energy Systems
• Flow Batteries
• Redox Flow Batteries
• +۳ مورد دیگر

Roman Pascal Schärer is a researcher at the ZHAW School of Engineering, focusing on electrochemical cells and energy systems. His work spans flow battery modeling, porous electrode analysis, and organic synthesis applications for energy storage. Current projects include high-throughput screening of flow battery materials and pharmaceutical electrosynthesis research. Research Interests : Electrochemical energy systems Redox flow battery design Multi-scale modeling of porous electrodes Organic synthesis for energy storage Mathematical modeling of transport phenomena Performance prediction and degradation analysis

Timothy Brownمشاهده پروفایل

استادیار

• Brain-inspired analog hardware for AI
• Neuromorphic computing
• Materials selection for emerging computer architectures
• +۴ مورد دیگر

Timothy Brown is an Assistant Professor in the School of Electrical and Computer Engineering at Oklahoma State University, focusing on brain-inspired analog hardware for AI and neuromorphic computing using materials like VO 2 , NbO 2 , and LaCoO 3 . He holds a PhD in Materials Science & Engineering from Texas A&M University (2019) and completed postdoctoral work at Texas A&M and Sandia National Laboratories. PhD, Materials Science & Engineering, Texas A&M University (2019) BSc, Electronics Engineering Physics, University of Tulsa (2014) His research bridges physics, materials science, and electrical engineering to design devices with internal state variables for applications in neuromorphic computing, active signal transmission, and low-energy computational systems. Key techniques include electro-thermal modeling, memristor characterization, and predictive algorithms for material selection in shape memory alloys. Recent work includes developing CMOS-compatible artificial neurons, demonstrating axon-like signal amplification without discrete components, and engineering spin crossover materials for true random number generation. Publications in Nature , Nature Electronics , and Advanced Materials highlight his contributions to mixed-physics computing primitives and predictive design frameworks. The BRAIN-C3 lab under Brown investigates materials like VOx and NbOx for neuromorphic applications, emphasizing thermal dynamics, reconfigurability, and device scaling. Collaborative projects span flexible substrates for spatiotemporal communication and inverse design methodologies for material property optimization.

Mahmoud Alzoubiمشاهده پروفایل

استادیار

• Transport phenomena in porous media
• Phase-change heat and mass transfer
• Artificial ground freezing
• +۵ مورد دیگر

Dr. Mahmoud Alzoubi is an Assistant Professor at Queen's University , cross-appointed between the Robert M. Buchan Department of Mining Engineering and the Department of Mechanical and Materials Engineering . He leads an interdisciplinary research program that couples advanced transport phenomena with energy-efficient technologies for mining and renewable energy applications. Education: Ph.D. in Mining & Mechanical Engineering, McGill University (2018) M.Sc. in Engineering Systems & Management, Masdar Institute of Khalifa University in collaboration with MIT (2014) B.Sc. in Mechanical Engineering, Jordan University of Science and Technology (2005) Research Interests: His work centers on transport phenomena in porous media , with emphasis on phase-change heat and mass transfer , artificial ground freezing , thermal energy storage , microfluidic devices , and renewable HVAC cycles . By integrating high-fidelity experiments with large-scale numerical simulations performed on high-performance clusters, he advances sustainable solutions for energy-intensive mining operations and green building technologies. Publication Impact: Across 32 peer-reviewed articles (2013-2024), a dominant theme emerges: developing computationally efficient models for coupled thermo-hydraulic processes in freezing, storage and ventilation systems. Studies range from Stefan-problem analytical solutions for phase-change materials to large-eddy simulations of cough-jet dispersion for indoor-air safety, underscoring a methodological breadth that spans pure mathematics, experimental heat transfer, and applied computational fluid dynamics. Funding & Recognition: Total research funding secured: CAD 466,000+ (direct cash CAD 381,000 + high-performance computing allocation CAD 85,000) Former member, Canadian Hydrogen in Mining Advisory Committee , Natural Resources Canada Laboratory & Teams: Dr. Alzoubi directs a research laboratory at Queen’s University equipped with state-of-the-art instrumentation for multiphysics experimentation and access to national HPC facilities. The group collaborates closely with industry partners (mining, HVAC) and government laboratories to translate fundamental findings into scalable, energy-efficient technologies for northern mining and cold-region infrastructure.

Suzanne Shontzمشاهده پروفایل

استاد

• Computational Medicine
• Computational Surgery
• Computational Anatomy
• +۶ مورد دیگر

Suzanne Shontz is a Professor at the Department of Electrical Engineering and Computer Science and Department of Mechanical Engineering at the University of Kansas. She serves as Associate Dean for Research in the School of Engineering and directs the Mathematical Methods in Interdisciplinary Computing Research Center. Her educational background includes a Ph.D. in Applied Mathematics from Cornell University (2005), M.S. degrees in Computer Science and Applied Mathematics from Cornell (2002), and dual B.A. and B.S. degrees in Mathematics and Chemistry from the University of Northern Iowa (1999). Ph.D.: Applied Mathematics, Cornell University (2005) M.S.: Computer Science (2002), Applied Mathematics (2002) B.A./B.S.: Mathematics/Chemistry, University of Northern Iowa (1999) Research Interests focus on parallel scientific computing and mesh generation , particularly for computational medicine , imaging sciences , and materials science . Her work addresses unstructured meshing algorithms , numerical optimization , and model order reduction in domains ranging from medical devices to solid mechanics . Key projects include NSF CDS&E (2018-2021), NSF CISE (2017-2021), and NSF CAREER (2011-2017) grants. Scientific Awards include the prestigious NSF PECASE (2011), International Meshing Roundtable Fellow (2021), Miller Professional Award (2021), and Big 12 Faculty Fellowship (2015). She has mentored over 30 students across multiple departments and institutions, including Ph.D. candidates in Computer Science , Bioengineering , and Mechanical Engineering . NSF PECASE Awardee (2011) International Meshing Roundtable Fellow (2021) Miller Scholar Award (2016) Big 12 Faculty Fellowship (2015) Collaborators span institutions like University of Waterloo , University of Minnesota , Lawrence Livermore National Laboratory , and Iowa State University . Her teaching portfolio includes graduate courses in Scientific Computing , Parallel Computing , and Numerical PDEs , alongside outreach initiatives such as high school summer camps on computer-aided engineering .

Mahesh M Sمشاهده پروفایل

دانشیار

• Vibroacoustics
• Aeroelasticity
• Computational Mechanics
• +۹ مورد دیگر

Mahesh M S is an Associate Professor in the Mechanical & Aerospace Engineering department at the Indian Institute of Technology Hyderabad . He holds a Ph.D. in Aerospace Engineering from the University of Illinois at Urbana-Champaign. Education Ph.D. (2013), University of Illinois at Urbana-Champaign M.Tech. (2004), Indian Institute of Technology Madras B.Tech. (2004), Indian Institute of Technology Madras Research Interests include Vibroacoustics , Aeroelasticity , Computational Mechanics , Aerodynamics , Aeroacoustics , and High Performance Computing . His group explores compressible multiphase flows, radar cross-section prediction, and shock wave interactions. Current Projects include Internal Ballistics (ARMREB, 2024–2027) and Hydroacoustics (NSTL, DRDO, 2024–2025). Past projects span underwater supersonic jets (DRDO, 2019–2021), cavity aeroacoustics (ADA, 2020–2021), and terminal ballistics (ARB, 2016–2018). Scientific awards : None listed. Students : Dr. Amartya Jana (Ph.D. candidate), Dubba Bhuvana Sai Charan Nath (Ph.D. scholar), Shikshit Nawani (M.Tech), Guruprasad Arya (M.Tech), Akshay Khare (M.Tech), Swapna Yalamanchili (Ph.D. scholar), Vishnu S. B. (Project Scientist), Chele Rajesh (Junior Research Fellow), Sharad Verma (M.Tech), Mangesh Dholwade (M.Tech). Contact : Room C-515, Academic Block C, IIT Hyderabad, Telangana, India. Email: mahesh@mae.iith.ac.in .

Arvind Kumarمشاهده پروفایل

استاد

• Additive manufacturing
• Heat transfer
• CFD modelling
• +۱۰ مورد دیگر

Professor Arvind Kumar is a distinguished faculty member in the Department of Mechanical Engineering at the Indian Institute of Technology Kanpur. His research focuses on additive manufacturing technologies, heat transfer and CFD modeling, manufacturing process modeling, solidification, thermal storage technologies, and laser/plasma surface coating technologies. Professor Kumar earned his PhD and M.Sc (Engg) from the Indian Institute of Science Bangalore in 2008 and 2003 respectively, and completed his B.Tech from NIFFT, Ranchi in 2001. His academic journey has established him as a leading researcher in advanced manufacturing processes. His research interests span metal additive manufacturing (including DfAM and AM process development), heat transfer and computational fluid dynamics, multiphysics and multiscale modeling of manufacturing processes, machine learning applications in manufacturing, droplet-surface interactions, and thermal energy storage systems. His work bridges the gap between theoretical modeling and practical industrial applications. Professor Kumar's publication record shows a strong focus on laser-based additive manufacturing, particularly with titanium and aluminum alloys. His research examines thermal modeling, solidification phenomena, defect formation, and process optimization. Recent work (2023-2024) has concentrated on high-fidelity modeling of laser-material interactions, lattice structure performance, and thermal management in additive manufacturing processes. H.A.L. Chair Professor Position, IIT Kanpur (2024-2027) Best Poster Award, 7th International Conference on Solidification Science and Processing (2018) Best Research Paper Award, 12th IIR Conference on Phase Change Material (2018) PK Kelkar Young Faculty Research Fellowship (2018-2021) Marie Curie Fellowship, University of Southampton, UK (2011-12) Professor Kumar leads multiple research projects funded by CSIR, SERB, ISRO, and EU-Indo collaborations. His research group operates the Manufacturing Science Lab in the Northern Laboratories at IIT Kanpur, focusing on experimental and computational analysis of advanced manufacturing processes. Current projects include additive manufacturing of aerospace components, development of thermal models for laser powder bed fusion, and innovative thermal energy storage systems.

Pierre Boivinمشاهده پروفایل

پژوهشگر

• Combustion
• Fluid Dynamics
• Numerical Analysis
• +۳ مورد دیگر

Pierre Boivin is a Chargé de Recherche at CNRS with a Habilitation à Diriger des Recherches (HDR), affiliated with the Thermodynamique Ondes Numérique Interfaces Combustion team at M2P2 Institute (Aix-Marseille University). His work bridges theoretical and applied combustion research, focusing on numerical methods for reactive flows and hydrogen safety. Key Research Areas: Combustion physics, hydrogen flame modeling, lattice Boltzmann methods (LBM), compressible flow simulation, and detonation/ignition prediction. Scientific Contributions: 2024 CNRS Bronze Medal for advancing hydrogen combustion theory; developed novel LBM solvers for compressible flows and reduced-order models for self-ignition risks. Collaborations: Frequent co-authorship with Song Zhao, Pierre Sagaut, and teams at M2P2 and CNRS. Article Trends: Recent publications (2025–2021) emphasize LBM for hydrogen combustion, shock-wave interactions, and safety modeling. Key subfields include reactive flow stability, thermodiffusive instabilities, and hybrid numerical algorithms. Scientific Awards: CNRS Bronze Medal (2024) for hydrogen combustion breakthroughs.

Miroslav Kuchtaمشاهده پروفایل

پژوهشگر

• Scientific Machine Learning
• Finite Element Method
• Monolithic Preconditioning
• +۳ مورد دیگر

Dr. Miroslav Kuchta is a Research Scientist at the Simula Research Laboratory, specializing in Scientific Machine Learning. He integrates classical numerical algorithms with modern machine learning tools, focusing on hybrid models that combine finite element methods (FEM) with neural networks (NN) to enforce physical constraints. Education: MSc in Mathematical Modeling, Charles University, Prague PhD in Applied Mathematics, University of Oslo Research Interests: His work centers on efficient numerical schemes for multiphysics problems, hybrid FEM-NN models, and their applications. He explores training strategies, stability, and approximation properties of hybrid models, bridging computational mathematics and machine learning. Supervision: He supervises computer science projects at Simula, including topics like "Stable representations in deep learning."

• Structural Optimization
• Computational Mechanics
• Wind Engineering
• +۲ مورد دیگر

David Schmölz is a Researcher at the Chair of Structural Analysis, Technical University of Munich (TUM), where he has served as a Research Associate since 2020. His academic work bridges computational mechanics and structural engineering with practical applications in civil infrastructure and advanced manufacturing. Education: Research Associate, Chair of Structural Analysis, TUM (2020–present) M.Sc. in Civil Engineering, TUM (2017–2020) Semester Abroad, KTH Royal Institute of Technology, Stockholm (2016) B.Sc. in Civil Engineering, TUM (2013–2017) Abitur, Rudolf-Diesel-Gymnasium, Augsburg (2012) Schmölz specializes in node-based structural optimization using the Vertex Morphing method, with emphasis on thin-walled structures, bead pattern generation, and additive manufacturing applications. His research integrates wind engineering principles for membrane structures and addresses challenges in hydroforming constraints and discretization-independent parameterization. Key contributions include sensitivity filtering techniques and shape optimization frameworks for lightweight design in civil engineering contexts. His publication record (2021–2025) reveals a cohesive research trajectory focused on advancing node-based optimization methodologies. Dominant themes include engineering-constrained parameterization, bead feature generation for thin-walled systems, and hybrid approaches combining Vertex Morphing with rigid body mechanics. Recent work demonstrates increasing sophistication in handling manufacturing constraints for additive construction and hydroforming processes, while maintaining computational efficiency through discretization-independent formulations. David Schmölz has supervised four Master's theses at TUM covering truss optimization, infinite load-point scenarios, and extruded form optimization using Vertex Morphing. His research is funded through major third-party projects including CoDA, Mistralwind, WINSENT, FlexWing, and the Digital Building Kit, which target computational design advancements and wind engineering applications in civil infrastructure. As a core member of Prof. Roland Wüchner's Chair of Structural Analysis, Schmölz collaborates with a 15+ researcher team including Ann-Kathrin Goldbach and Suneth Warnakulasuriya. The group leverages advanced computational tools such as Carat++, Kratos Multiphysics, and Kiwi!3d for structural simulation, with ongoing development of the Vertex Morphing framework for industrial applications in offshore engineering and wind-excited structures.

• Structural Engineering
• Materials Science and Engineering
• Computational Mechanics
• +۳ مورد دیگر

Richard John Grant serves as a Professor in the Department of Mechanical and Maritime Engineering at the University of Bergen. His research consistently prioritizes practical applications with a core emphasis on energy efficiency across diverse engineering domains. His primary research areas include lightweight structural frameworks (specializing in pin-loaded tubular connections and fatigue performance), multiphysics simulations for aerospace design, friction surfacing/welding technologies, cryogenic forming of vehicle structures, and biomechanical prosthetics development. A unifying theme across all projects is the reduction of energy consumption through weight optimization, advanced materials, and structural innovation—evident in applications ranging from aircraft design to automotive manufacturing and medical devices. Professor Grant leads the Structures & Materials research group while actively contributing to the Water, Wind & Waves (W3) and Energy & Environmental Technologies initiatives. His international collaborations include doctoral-level partnerships with Kempten University of Applied Sciences (patented welding technologies) and Aalen University of Applied Sciences (cryogenic forming with industrial backing from Voestalpine), alongside orthopedic research with RJAH Oswestry in the UK. He teaches advanced courses including Product Development for Sustainability (MAS215), Solar Technology and Design (MAS311), and Energy Resources & Conversion Devices (MAS502), focusing on sustainable engineering solutions for future industry challenges.