جستجوی استاد راهنمای دانشگاهی

برای مسیر پژوهشی‌تان، استاد راهنما، استاد دانشگاه و پژوهشگر مناسب را پیدا کنید و با آن‌ها ارتباط بگیرید.

نمایش ۷۲۱-۷۳۵ از ۱٬۴۵۰ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Dewey Dohoy Jungمشاهده پروفایل

استاد

University of Michigan-DearbornUnited States

Dewey Dohoy Jung is a Professor and Associate Dean for Academic Programs and Initiatives at the University of Michigan-Dearborn , affiliated with the College of Engineering and Computer Science and the Department of Mechanical Engineering . With over 25 years of academic and industry experience, he specializes in automotive engineering and thermal-fluid sciences . Ph.D. in Mechanical Engineering from the University of Michigan (2001) M.S. and B.S. in Mechanical Engineering from Seoul National University (1991, 1989) His research focuses on advanced energy conversion systems in automotive applications, including: Internal combustion engine processes and systems Hybrid/electric powertrain systems PEM fuel cell systems Vehicle thermal management Integration of vehicle systems Modeling and simulation of vehicle systems He has developed over 30 funded research programs with sponsors such as BorgWarner , Ford , Hyundai-Kia , and NSF , accumulating $4 million in grants . His notable award includes the Distinguished Research Award from the University of Michigan-Dearborn (2012). Current projects emphasize electric vehicle thermal management and fuel cell system optimization .

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Mahmoud Shahbaziمشاهده پروفایل

دانشیار

Durham UniversityUnited Kingdom

Dr. Mahmoud Shahbazi is an Associate Professor and Deputy Director of Research in the Department of Engineering at Durham University. He holds a PhD in Electrical Engineering from Université de Lorraine, France (2012), and has held prior roles as a lecturer at Azad University and a postdoctoral researcher at Sharif University of Technology. His research focuses on modern energy systems reliability, fault-tolerant control, renewable energy integration, and power system optimization. He has secured over £14M in research funding, leading projects such as the EPSRC-funded VPP-WARD (£1.84M) and ROADsTER (£230K). His work emphasizes hybrid AC/DC grids, microgrid control, and renewable energy resilience. Education: PhD in Electrical Engineering (Université de Lorraine, 2012) Grants: £6M EPSRC Centre for Doctoral Training in Offshore Wind Energy and Environment Research Interests: Microgrid operation, power electronics innovation, renewable integration strategies, and fault-tolerant systems. He explores advanced control methodologies for smart grids and energy resilience under dynamic conditions. Grant Portfolio: Key projects include optimizing offshore wind energy systems and developing AI-driven microgrid control for decarbonization. His funding includes EPSRC and NERC collaborations. Students: Supervising six research postgraduates in the Electrical Power Node. Expertise bridges theoretical models and practical implementation, with contributions to converter design, grid optimization, and renewable energy systems.

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Maria Constance Mendes Pinheiroمشاهده پروفایل

استاد

University of CoimbraPortugal

Constance Mendes Pinheiro is a Full Professor at the University of Coimbra's Faculty of Science and Technology, Department of Physics. She has held leadership roles including Director of the Rómulo Science Center (2022–current) and Director of the Physics Department (2019–2023). Her academic career includes a PhD in Theoretical Physics from the University of Oxford (2002) and degrees from the University of Coimbra. She is a member of the Scientific Council of the University of Coimbra and the Steering Committee of the COST Action CA16214 on multi-messenger physics of neutron stars. Her research focuses on dense matter physics, neutron star structure, and quark-gluon plasma dynamics. Key areas include equation of state modeling under extreme conditions, magnetic field effects in stellar matter, and dark matter interactions with compact stars. She has led numerous grants addressing neutron star properties, supernova dynamics, and QCD phase transitions. Recent work applies machine learning to decode neutron star observations and Bayesian methods to constrain nuclear matter parameters. Her studies explore hybrid stars, magnetized quark matter, and universality relations in compact star physics. Over 100 publications span topics like pasta phases in neutron star crusts, hyperon contributions, and gravitational wave astronomy implications.

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Sergey Lapinمشاهده پروفایل

استاد

Washington State UniversityUnited States

Dr. Sergey Lapin is a Professor of Mathematics and Statistics at Washington State University Everett, serving as Vice Chancellor for Research and Director of the WSU Data Analytics program. He is also a Faculty Fellow at the WSU Honors College. His research focuses on scientific computing, mathematical biology, and data analytics, with recent projects exploring cardiovascular-retinal dynamics and interdisciplinary applications. Lapin holds leadership roles in academic administration and has received multiple awards for teaching and mentorship. Research Interests: Mathematical modeling of biological systems Cardiovascular and ocular dynamics Data-driven approaches in healthcare Optimal control theory and numerical methods Publications highlight interdisciplinary work, with trends in: Biomedical applications (eye-heart coupling, glaucoma modeling) Socio-economic dynamics (refugee migration, volunteering demographics) Computational methods (fractional calculus, finite element approaches) Lapin’s advising emphasizes interdisciplinary collaboration, and he leads teams in WSU’s Data Analytics program. He has pioneered computational models for pandemic response and vascular system analysis. Current projects bridge clinical medicine and mathematical theory, with applications in global health and environmental engineering.

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Jose Martinez Lorenzoمشاهده پروفایل

استاد

Northeastern UniversityUnited States

Jose Martinez Lorenzo is a Professor in both Mechanical and Industrial Engineering and Electrical and Computer Engineering at Northeastern University's College of Engineering. His research focuses on advanced sensing and imaging systems, including radar design, antenna optimization, subsurface scattering analysis, and biomedical applications like breast cancer detection. He holds a PhD in Electrical Engineering from the University of Vigo (Spain). Notable achievements include the 2012 IEEE Homeland Security 'Best Paper Award' and multiple patents in security and sensing technologies. Research interests span compressive sensing, computational electromagnetics, and multimodal imaging. He leads the Sensing, Imaging, Control, and Actuation Laboratory, developing systems for security, sustainability, and healthcare applications. Key projects include NSF-funded 4D mm-wave imaging and DHS-funded explosives detection initiatives. Professional affiliations include IEEE Antennas and Propagation Society, and he teaches courses on electromagnetic fields, antennas, and mathematical methods for engineers. Awards include the 2012 National Security Innovation Competition First Prize and multiple patents for innovative radar and sensing technologies. His work combines theoretical advancements with practical applications, such as non-destructive testing and satellite-based environmental monitoring. Current efforts emphasize high-speed imaging systems and AI-driven sensor fusion for real-time decision-making in dynamic environments.

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James Kirbyمشاهده پروفایل

استاد

University of DelawareUnited States

James Kirby is the Edward C. Davis Professor at the University of Delaware's Department of Ocean Engineering. His research focuses on coastal and ocean disasters, including tsunami hazard assessment, wave dynamics, sediment transport, and nearshore hydrodynamics. He holds a Ph.D. from the University of Delaware and Master's and Bachelor's degrees from Brown University. His work emphasizes understanding extreme coastal events through advanced modeling and field experiments. Key areas include tsunamis generated by submarine landslides, meteo-tsunamis, and the impact of wave breaking on coastal environments. He develops numerical tools like Boussinesq-type models (e.g., FUNWAVE-TVD) and subgrid approaches to simulate complex phenomena such as salt marsh hydrodynamics and artificial ponding mitigation. Dr. Kirby collaborates on large-scale initiatives like the Rocky Shores Experiment and Simulation (ROXSI) to study wave-rough bed interactions. His contributions bridge computational methods with real-world applications in coastal risk assessment and infrastructure resilience. He has advised numerous projects on tidal hydrodynamics, morphodynamic feedbacks, and acoustic-gravity wave propagation. Current efforts explore epistemic uncertainties in coastal hazard modeling and improving accuracy of landslide tsunami simulations.

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Pritam Dasمشاهده پروفایل

دانشیار

Binghamton University SUNYUnited States

Pritam Das is an Associate Professor in the Department of Electrical and Computer Engineering at Binghamton University. He holds a PhD in Electrical Engineering from the University of Western Ontario (2010) and has held academic positions including Assistant Professor at the National University of Singapore and adjunct researcher at the Solar Energy Research Institute of Singapore (SERIS). His research focuses on power electronics, energy storage systems, and wide-band gap devices. He leads the Power Electronics Research Laboratory and founded PowerEff, a power solutions company. Education: Bachelor's in Electronics and Communication Engineering, University of Burdwan, India Master's in Applied Science, Electrical Engineering, University of Western Ontario (2005) PhD in Electrical Engineering, University of Western Ontario (2010) Research Interests: Resonant converter topologies Wide-band gap semiconductor integration Energy storage (vanadium redox batteries) High-efficiency LED drivers Electrified transportation systems Smart grid technologies Publications reflect advancements in resonant converters, energy storage optimization, and LED driver design. His 2023 NSF CAREER Award supports research into Multi-level Bridge Tapped Resonant (MBTR) Solid-State Transformers. He holds one granted U.S. patent and four pending patents related to power conversion systems. Grants & Awards: NSF CAREER Award ($537,959, 2023) U.S. Patent 11,013,083 (Electrolytic capacitorless LED driver) Labs & Teams: Directs Binghamton’s Power Electronics Research Laboratory, focusing on next-generation power conversion systems and sustainable energy solutions.

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Pavel Trtikمشاهده پروفایل

پژوهشگر

Paul Scherrer InstituteSwitzerland

Dr. Pavel Trtik is an Instrument Scientist at the Neutron Microscope Project under the Laboratory for Neutron Scattering and Imaging at the Paul Scherrer Institute (PSI), Switzerland. His work focuses on advanced neutron imaging techniques for materials science and energy applications. Research Areas: Neutron imaging, hydrogen transport in nuclear materials, battery diagnostics, cement hydration, and liquid metal flow dynamics. Key Technologies: Operando neutron radiography, phase-contrast imaging, high-resolution tomography, and synchrotron X-ray ptychography. Applications: Sodium-ion batteries, zirconium cladding analysis, liquid metal batteries, and construction material characterization. His recent publications highlight neutron imaging as a tool for studying energy devices, corrosion processes, and hydrogen distribution. Notable projects include reactor design optimization and 4D nanoimaging of cement hydration. Contact: pavel.trtik@psi.ch

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Ngoc Anh Nguyenمشاهده پروفایل

پژوهشگر

University of Illinois Urbana-ChampaignUnited States

Ngoc Anh Nguyen is a Research Scientist at the Applied Research Institute of the University of Illinois. Their work focuses on advanced polymer materials with emphasis on sustainability and innovative fabrication techniques. Research Interests: Stimuli responsive polymers and sustainable composites Polymer additive manufacturing (melt-spinning, solution-spinning, fused-deposition modeling) Thin film fabrication and reactive extrusion processes Phase change materials with enhanced thermal properties Microporous fiber manufacturing for separation applications Recent Publications demonstrate expertise in polymer crystallization mechanics, biomass dissolution technologies, and multi-functional material design. Notable works include studies on lignin-based composites and ionic liquid processing for fiber regeneration. Editorial Roles: Editor of Polymers (2024→) Editor of Advances in Polymer Technology (2020→)

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Juan Hernandez Tamamesمشاهده پروفایل

استاد

Erasmus University RotterdamNetherlands

Prof. Juan Hernandez Tamames is a Full Professor in the Department of Radiology & Nuclear Medicine at Erasmus MC. His research focuses on advanced MRI techniques, neurodegenerative disorders, and medical imaging innovations. He has contributed to over 158 peer-reviewed publications, emphasizing translational applications of imaging technologies in clinical diagnosis. Research Interests: His work centers on Functional MRI for neurological disorders Development of MRI-based diagnostic models AI-driven image analysis Cardiovascular and oncological imaging applications Recent Research Trends: His 2025 publications highlight innovations in Quantitative MRI for early Parkinsonism diagnosis Phase contrast imaging accuracy improvements 3D MRI acquisition protocols Synthetic CT generation for radiotherapy AI-based brain tumor prediction Collaborations: Active collaborations with institutions globally, focusing on multi-disciplinary imaging solutions.

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Zjenja Doubrovskiمشاهده پروفایل

استادیار

Delft University of TechnologyNetherlands

Zjenja Doubrovski is an Assistant Professor at the Faculty of Industrial Design Engineering, Delft University of Technology. They hold an MSc in Integrated Product Design (Cum Laude, 2010) and a PhD in Additive Manufacturing (2016). Their research focuses on multi-material Additive Manufacturing (AM), meta-materials, and bio-inspired design, with applications in mechatronics and robotics. They collaborate closely with the 3D printing industry and supervise graduation projects expanding this field. Education includes teaching courses like Computational Fabrication , Computer-Aided Design , and Digital Materials . Awards include the 2023 Best Paper Honourable Mention and the 2013 Best Young Presenter Award at eCAADE. Research interests span soft robotics, 4D printing, sustainable materials, and biohybrid systems. Their work bridges design methodologies with advanced manufacturing technologies, emphasizing innovation and practical collaboration. Research Highlights: Biomimetic composites, smart mechanics, and living materials for carbon absorption. Key Collaborations: Industry partnerships for AM applications, EU-funded projects on sustainable design.

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Marianne Gjestvold Omangمشاهده پروفایل

استاد مدعو

University of OsloNorway

Marianne Gjestvold Omang is an Adjunct Professor at the Rosseland Centre for Solar Physics, University of Oslo. Her research focuses on shock physics, numerical simulations using Smoothed Particle Hydrodynamics (SPH), and multiphase systems. She holds a Cand. Scient in Astronomy (1994) and a PhD in Astronomy (2005), both from the University of Oslo. Her work emphasizes shock interactions with reactive particles, combustion models, and computational methods for fluid dynamics. Recent publications include studies on shock-induced cloud ignition, low-temperature particle ignition, and cylindrical geometry simulations. She collaborates on projects involving shock tube facilities and particle dynamics, contributing to advancements in SPH methodology and multi-phase flow analysis. Publications span experimental and numerical investigations, with a focus on shock wave phenomena, MHD applications, and algorithmic improvements in computational physics. No scientific awards are explicitly listed, but her extensive contributions to computational astrophysics are notable.

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Silvia V. Gaastra-Nedeaمشاهده پروفایل

استادیار

Eindhoven University of TechnologyNetherlands

Dr. Silvia V. Gaastra-Nedea is an Assistant Professor in the Department of Mechanical Engineering at Eindhoven University of Technology. Her research focuses on computational modeling of thermal systems and energy materials, with expertise in multi-scale simulations, heat transfer, and fluid dynamics. She contributes to sustainable energy solutions through investigations of thermal energy storage and advanced material behavior. Her research interests span computer simulations of heat storage materials, rarefied gas flows, and machine learning applications in thermal systems. Key areas include: Multi-scale modeling of heat transfer phenomena Thermodynamics of phase change materials Rarefied gas dynamics and molecular interactions Machine learning for fluid mechanics Energy storage system optimization Dr. Gaastra-Nedea's publications demonstrate consistent focus on computational methods for thermal systems, with recent work advancing hybrid simulation techniques and machine learning applications in fluid dynamics and materials science.

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Anton A. Darhuberمشاهده پروفایل

استاد

Eindhoven University of TechnologyNetherlands

Anton A. Darhuber is a Full Professor in the Department of Applied Physics at Eindhoven University of Technology (TU/e), leading the Micro- and Nanoscale Flows research group within the Fluids and Flows section. He also holds a Full Professor position at EIRES Research. His work spans fundamental fluid physics at micro- and nanoscales with applications in semiconductor manufacturing, printing technologies, and energy systems. Research Interests: Darhuber specializes in surfactant-driven flows , plasma-liquid interactions , thermo/solutocapillary phenomena , and thin film dynamics . His lab investigates how liquids interact with solids across nanometer-to-millimeter scales, focusing on pattern formation, defect mitigation in lithography, and evaporative processes. Key application areas include immersion lithography, inkjet printing, and enhanced oil recovery. Research Trends: Recent publications reveal a strong emphasis on plasma-induced liquid flows (2024-2025), where electrical properties dictate flow direction in saline solutions, and phase separation in meniscus-guided deposition (2025) for polymer thin films. His group combines experimental techniques with computational modeling to address challenges in watermark defect formation and coffee-stain effects. Supervision & Grants: Darhuber actively supervises doctoral candidates (e.g., Sajjad Karimnejad, R.A.J. de Bruijn) and master's students. He leads major projects including FIP2.0: Complex Fluids on Complex Substrates (2020-2026), Defeng: Defect Engineering in Thin Films (2019-2025), and HVCLD: High Velocity Contact Line Dynamics (2022-2029), securing third-tier and first-tier funding from industrial and academic sources. Research Infrastructure: The Micro- and Nanoscale Flows group operates advanced facilities for microfluidic experimentation, plasma-liquid interaction studies, and high-speed imaging of interfacial phenomena. Collaborations span semiconductor industry partners (ASML), academic institutions (Princeton University), and EU-funded consortia focused on sustainable manufacturing.

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Maike W. Baltussenمشاهده پروفایل

استادیار

Eindhoven University of TechnologyNetherlands

Maike W. Baltussen is Assistant Professor in the Multiscale Modelling of Multiphase Flows group at Eindhoven University of Technology. Her research develops advanced reactor models for industrial multiphase reactors, focusing on hydrodynamics and heat/mass transfer. She specializes in gas-liquid, gas-solid and gas-liquid-solid systems using multi-scale modelling from DNS to phenomenological approaches. Academic background includes MSc in Chemical Engineering (cum laude) and Nanotechnology from University of Twente, with PhD from TU/e on 'Bubbles on the cutting edge: direct numerical simulations of gas-liquid-solid three-phase flows'. Current projects include CFD-DEM simulations of clustering behavior, droplet collisions, and trickle bed reactors. She teaches Multiphase Computational Fluid Dynamics and Advanced Numerical Methods.

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