Find Academic Supervisors

• Material Characterization
• Ultrasonics
• Modeling and Simulation
• +17 more

Mejdi Azaiez is a Researcher at the University of Bordeaux, affiliated with the TREFLE - Energy Fluid Transfers department. His work focuses on advanced simulations and numerical modeling for fluids and engineering, with research areas spanning material characterization, ultrasonic imaging, and contactless micromanipulation using acoustic waves. Key research areas include nanophononics , picosecond biophononics , and acoustic wave propagation in complex media . He contributes to projects such as DuMAS (Durability of Materials) and 3MAH (Multiscale Modeling of Heterogeneous Materials). His expertise extends to nondestructive testing methodologies , probabilistic approaches , and material valorization . He utilizes tools like Notus (CFD) , FedOO (Mechanical Solids) , and Simcoon (Constitutive Laws) . His research involves collaborations in porous media characterization , thermophysical properties , and solid mechanics . Email: azaiez@u-bordeaux.fr

• Power Electronics
• Electrical Engineering
• High-Frequency Magnetics Design
• +5 more

Wai Keung Mo is an Associate Professor at the Institute of Mechanical and Electrical Engineering , University of Southern Denmark. His research focuses on power electronics , high-frequency magnetics design , and EMC/EMI filter optimization , with applications in lighting equipment, low-voltage DC distribution, and industrial converters. Academic Rank: Associate Professor Collaborations: Active in international networks with recent projects in Europe Expertise: Conducted emission, hybrid magnetics, PFC converters, FEM simulations Research Trends: Mo’s work emphasizes conducted emission reduction , curved air gap designs , and hybrid magnetic topologies to improve efficiency and reliability in power converters. Recent articles highlight finite element analysis (FEM) for thermal and vibration optimization in electric vehicle converters and nano compressors . Teaching & Supervision: Mo has supervised projects including "Electromagnetic FEM Simulation of Motor and Compressor" and "Multiphysics simulation and analysis of vibration performance of BLDC motor fed nano compressor" , mentoring students like Lucas Gazola Mugnol and Denis Ndi Ndi. Key Contributions: His innovations in single-stage PFC flyback transformers and hybrid EMI filters address critical challenges in industrial electronics, with a focus on harmonic reduction and core loss measurement .

• Electrical Machine Engineering
• Magnetic Core Modeling
• Energy Efficiency in Transportation
• +3 more

Pontus Fyhr is a researcher at Lund University's Faculty of Engineering, specifically within the Division for Industrial Electrical Engineering and Automation. His work focuses on magnetic core modeling, energy efficiency in transportation systems, and optimization of electrical machinery. Research interests span dynamic magnetic systems, hysteresis modeling, and sustainable automotive design. Publications reveal expertise in Jiles-Atherton model formulations for stator core analysis and energy consumption optimization in heavy vehicle braking systems. Developing advanced models for magnetic core performance Investigating energy recovery mechanisms in automotive braking Applying finite element analysis to industrial electrical systems Studying vibration impacts on disc brake efficiency

• Solar Energy
• Thermal Energy Storage
• Computational Fluid Dynamics (CFD)
• +5 more

Prof. Dr. İlker Tari is a Professor of Mechanical Engineering at FMV Işık University (since 2025) and previously at Middle East Technical University (METU) from 1998 to 2022. He leads solar energy research at METU's GUNAM center and contributes to projects like EU Horizon2020. His work bridges computational modeling and experimental validation in thermal systems. Education: Ph.D., Northeastern University (1998), Mechanical Engineering M.Sc., MIT (1994), Nuclear Engineering M.Sc., University of Michigan (1991), Nuclear Engineering B.Sc., Hacettepe University (1987), Nuclear Energy Engineering Research Focus spans solar energy applications, thermal energy storage, radiative transfer modeling, electronics cooling, and fuel cell systems. Recent work emphasizes phase change materials, fluidized bed storage, and machine learning in spectral models. Publications highlight advancements in photovoltaic cooling, solar hybridization for industries, and CFD-based granular flow analysis. Key trends include sustainable energy systems and computational modeling for heat transfer optimization. Projects: EU H2020 INSHIP (2017-2020) TÜBİTAK Solar Dryer (2017-2020) SFERA-III (2019-2023) SolarTwins (2020-2023) ECOSun Solar (2020-2023) InnoSolPower (2021-2024) Academic Leadership includes roles as Secretary-General of the International Centre for Heat and Mass Transfer (2019) and board member at METU's ENDAM center. He has supervised over 30 theses and teaches courses in thermodynamics, heat transfer, and solar energy.

• Mechanical Design
• Machine Construction
• Dynamics of Rotating Systems
• +9 more

Cristiana Delprete is a Full Professor in the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin, where she has been actively teaching and conducting research for over two decades. She serves as a key faculty member across multiple academic programs and has been consistently involved with doctoral colleges since the 19th cycle (2003-2004). Her research spans analytical and numerical methods, digital twin applications, dynamics of rotating systems, Industry 4.0 implementations, machine condition monitoring, mechanical design, MEMS, multiphysics modeling, smart materials, and structural dynamic design. She leads the ISED: Industrial Systems Engineering and Design research group and has been instrumental in developing predictive modeling approaches for machine design and loss minimization, industrial machine design and condition monitoring systems, intelligent materials and systems for industry applications, and rotor-bearing system reliability assessment. Her recent publications (2024-2025) demonstrate a strong focus on additive manufacturing applications, vibration and fatigue analysis, sustainable design methodologies, and digital twin implementations across mechanical and aerospace engineering domains. The research shows particular emphasis on copper-based metal matrix composites for space applications, circular design strategies for sustainable transportation, and advanced condition monitoring techniques for industrial machinery. Delprete actively supervises numerous PhD students across multiple cycles and has been involved in diverse research projects ranging from predictive maintenance systems (PRIME project 2021-2022) to cylinder set strategy development (CSS project 2016-2019) and international student competitions like the TEAM POLICUMBENT project. She also holds a patent for a 'Connecting rod with innovative closure' developed with colleagues Emanuele Raviolo and Carlo Rosso. Her teaching responsibilities include Machine Construction and Fundamentals of Structural Mechanics courses at both undergraduate and graduate levels, with consistent involvement in the Mechanical Engineering doctoral program. She is deeply engaged with Industry 4.0 initiatives and sustainable design practices, aligning her work with UN Sustainable Development Goals 7 (Affordable and Clean Energy), 9 (Industry, Innovation, and Infrastructure), and 12 (Responsible Consumption and Production).

• Battery Materials Science
• Electrochemomechanics
• Li-ion Batteries
• +3 more

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 AbdelalView profile

Lecturer

• Multiscale Material Modeling
• Composite Materials Design and Manufacturing
• Aerospace Thermal Structures
• +7 more

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 BoldriniView profile

Researcher

• Multiphysics Modeling
• Computational Fluid Dynamics
• Cloud Simulation
• +4 more

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 RoosView profile

Professor

• Polymer Science
• Fuel Cell Technology
• Computational Physics
• +3 more

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
• +2 more

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 SchärerView profile

Researcher

• Electrochemical Energy Systems
• Flow Batteries
• Redox Flow Batteries
• +3 more

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 BrownView profile

Assistant Professor

• Brain-inspired analog hardware for AI
• Neuromorphic computing
• Materials selection for emerging computer architectures
• +4 more

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 AlzoubiView profile

Assistant Professor

• Transport phenomena in porous media
• Phase-change heat and mass transfer
• Artificial ground freezing
• +5 more

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 ShontzView profile

Professor

• Computational Medicine
• Computational Surgery
• Computational Anatomy
• +6 more

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 SView profile

Associate Professor

• Vibroacoustics
• Aeroelasticity
• Computational Mechanics
• +9 more

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 .