جست‌وجوی استاد و پژوهشگر

Edward Avezovمشاهده پروفایل

استاد

• Neuroscience
• Cell Biology
• Dementia Research
• +۴ مورد دیگر

Edward Avezov serves as a Professor and Group Leader in the Department of Clinical Neurosciences at the University of Cambridge's School of Clinical Medicine. He is affiliated with the UK Dementia Research Institute and Cambridge Neuroscience, focusing on neuronal cell biophysics within the research themes of Neurons, Circuits and Networks, Beyond the Neuron, and Lifelong Brain Development and Brain Ageing. His research investigates endoplasmic reticulum (ER) structure-function relationships in neuronal physiology and dementia pathogenesis. Avezov's laboratory employs advanced techniques including super-resolution microscopy, genetically encoded biosensors, iPS cell models, and computational modeling to study organelle interactions, cellular neurophysiology, and protein homeostasis. Key clinical conditions under investigation include Alzheimer's disease, hereditary spastic paraplegia, and motor neurone disease. Analysis of Avezov's publication record reveals a consistent focus on ER dynamics in neurodegeneration. His work demonstrates how ER morphology regulation (e.g., via RTN4), luminal transport mechanisms, and stress responses contribute to neuronal dysfunction in dementia. Recent publications highlight innovative methodological developments like ERnet for quantitative ER topology analysis and discoveries regarding ER-mitochondria crosstalk, calcium signaling limitations, and stress-induced protein disaggregation. Avezov maintains active collaborations with leading Cambridge researchers including Michele Vendruscolo, Cahir O'Kane, John Skidmore, Clemens Kaminski, Gabriele Kaminski Schierle, David Rubinsztein, and David Klenerman. His laboratory actively participates in neuroscience community events such as NeuroBioUK and CellBio conferences, as evidenced by their social media presence.

Nieves Cubo Mateoمشاهده پروفایل

پژوهشگر

• Biomedical Engineering
• 3D Bioprinting
• Artificial Intelligence
• +۵ مورد دیگر

Nieves Cubo Mateo is a researcher at the Higher Polytechnic School of Universidad Nebrija. She holds a PhD from Universidad Complutense de Madrid, focusing on bioinks and bioprinting strategies for tissue equivalents in Earth and space applications. Her research spans biomedical engineering, artificial intelligence, and marine systems. Education: PhD in Bioinks & Bioprinting (Universidad Complutense de Madrid, 2020) Her work includes 3D bioprinting of human tissues , AI-driven marine systems diagnostics , and applications in space exploration . She has pioneered bioinks using plasma/alginate/methylcellulose for pancreatic tumor modeling and explored geospatial analysis for offshore wind farms. Recent publications highlight advancements in data preprocessing , deep learning for fault detection , and additive manufacturing of organic structures. Her interdisciplinary approach bridges AI, biomedical engineering, and marine technology. She contributes to the ARIES research group at Universidad Nebrija and collaborates on projects related to regenerative medicine and space colonization.

Juan Pablo Fuenzalida Wernerمشاهده پروفایل

استادیار

• Protein Engineering
• Spectroscopy
• Supramolecular Materials
• +۳ مورد دیگر

Juan Pablo Fuenzalida Werner is an Assistant Professor at the Department of Chemistry, College of Sciences, University of Navarra. He is also a Ramón y Cajal Fellow, focusing on protein engineering and supramolecular materials for biomedical and environmental technologies. Education: PhD in Chemistry from University of Münster (Germany) PhD in Biochemistry from University of Hyderabad (India) His research spans protein-polysaccharide interactions, fluorescent proteins, and biohybrid photonic devices. Key areas include: Engineering protein-based polymers and nanobodies Stability enhancement of biohybrid light-emitting diodes Supramolecular material design for biomedical applications Environmental technology applications of protein systems Recent work shows strong trends in: Fluorescent protein integration with nanomaterials Thermophilicity prediction using AI Optoacoustic imaging technologies Biohybrid LED systems Scientific Awards: Ramón y Cajal Fellowship He leads the SUMBET research group focused on Supramolecular Materials for Biomedical and Environmental Technologies, with significant contributions to protein engineering and biophotonic applications. His work emphasizes interdisciplinary approaches combining biochemistry, material science, and nanotechnology.

Lucas Hofمشاهده پروفایل

استاد

• Aeronautics and Aerospace
• Sustainable Development
• Circular Economy
• +۶ مورد دیگر

Dr. Lucas Hof is a Professor at the Department of Mechanical Engineering , École de technologie supérieure (ÉTS), University of Québec . He holds a B.Sc. , M.Sc. from Delft University of Technology and a Ph.D. from Concordia University. Research Axes: Aeronautics/Aerospace, Sustainable Development & Circular Economy, Innovative Materials, Intelligent Systems Labs: NUMERIX (Organizational Engineering), DYNAMO (Machine Dynamics), CIRODD (Sustainable Development), LFIC (Smart Manufacturing) His research focuses on advanced manufacturing (SACE micromachining, additive manufacturing), smart corrosion monitoring in bolted joints, industry 4.0/5.0 integration , and circular economy strategies for materials like eggshells and titanium alloys. Recent work explores neural networks for powder coating optimization and electrochemical post-processing of 3D-printed parts. Key publications span glass machining ( Manufacturing Letters ), smart maintenance systems ( IFAC-PapersOnLine ), and circular supply chains ( Journal of Cleaner Production ). He co-supervises numerous PhD/MSc students in topics including solar panel design, medical mask recycling, and metamaterial applications.

Emine Ulku Saritasمشاهده پروفایل

دانشیار

• Biomedical Imaging
• Magnetic Resonance Imaging (MRI)
• Magnetic Particle Imaging (MPI)
• +۳ مورد دیگر

Emine Ulku Saritas is an Associate Professor at Bilkent University, affiliated with the Department of Electrical and Electronics Engineering and the National Magnetic Resonance Research Center (UMRAM) . Her work bridges biomedical engineering, medical imaging, and advanced instrumentation. Research Interests: Dr. Saritas specializes in Magnetic Resonance Imaging (MRI) and Magnetic Particle Imaging (MPI) , focusing on novel contrast mechanisms , high-resolution imaging , and artificial intelligence applications for diagnostic imaging. Her research spans hardware design, algorithm development, and biomedical translation. Publication Trends: Recent work emphasizes deep learning for artifact correction , microfluidic nanoparticle analysis , hybrid imaging systems , and physics-informed models for medical imaging. Collaborative efforts include multimodal imaging and nano-platform development for photothermia and diagnostics. Laboratory & Collaborations: She contributes to the National Magnetic Resonance Research Center (UMRAM) and the Aysel Sabuncu Brain Research Center, advancing brain imaging technologies and magnetic fluid hyperthermia .

P. Reed McDonaghمشاهده پروفایل

استادیار

• Gynecologic Cancer
• Breast Cancer
• Hematologic Malignancies
• +۴ مورد دیگر

P. Reed McDonagh, MD, PhD, serves as an Assistant Professor in the Department of Radiation Oncology at the University of Maryland, specializing in gynecologic, breast, and hematologic malignancies while advancing research in molecular imaging and nanoparticle therapeutics for radiation oncology applications. Education: BS, Physics in Medicine, University of Notre Dame (2009) MD/PhD, Clinical and Translational Science, Virginia Commonwealth University (2018) Radiation Oncology Residency, Virginia Commonwealth University (2024), serving as Chief Resident Dr. McDonagh's research program develops advanced molecular imaging techniques and translates nanoparticle therapeutics into clinical practice, with specific focus on hyperthermia applications for brachytherapy and radioprotection mechanisms. His work spans multiple cancer types and emphasizes collaborative, team-based approaches to improve treatment efficacy and patient outcomes. Recent publications (2023) demonstrate leadership in AI-driven tumor segmentation, respiratory motion management during radiotherapy, and molecular imaging of cerium oxide nanoparticles, building on earlier foundational work in nanoparticle biodistribution and psychosocial oncology. Scientific recognition: RSNA Roentgen Resident/Fellow Research Award Dr. McDonagh maintains a strong commitment to patient-centered, multidisciplinary care that involves the entire medical team and actively engages patients in treatment decisions. His research involves collaborative teams working at the intersection of radiation oncology, nanotechnology, and molecular imaging, though specific laboratory facilities were not detailed in the source material.

EMRE HARUN KARAASLANمشاهده پروفایل

استادیار

• Chemistry Education
• Scientific Explanation
• Science Learning
• +۲ مورد دیگر

Dr. Emre Harun Karaaslan is an Assistant Professor at Gaziantep University's Naci Topçuoğlu Vocational School , specializing in Chemistry and Chemical Processing Technologies. He holds a Ph.D. in Chemistry Education from Karadeniz Technical University (2014) and a Master’s degree in Mathematics and Science Education from Yüzüncü Yıl University (2007). Ph.D.: Chemistry Education, Karadeniz Technical University (2014) M.Sc.: Mathematics and Science Education, Yüzüncü Yıl University (2007) His research focuses on scientific explanation frameworks , cognitive modeling in chemistry learning , and technology-enhanced science education . Key areas include contextual learning, classroom discourse analysis, and conceptual change strategies. Notable projects include "Occupational Safety and Emergency Training of Syrian Young Workers" (2018-2019) funded by an international commission. He has contributed to 6 peer-reviewed publications and 9 conference presentations, including SSCI-indexed journals. 2018-2019 : European Commission-funded research on occupational safety 2022 : Research grant on AI integration in science education Current teaching responsibilities include delivering foundational courses in polymer chemistry and general chemistry at the associate degree level since 2008.

Tomislav Šolićمشاهده پروفایل

استادیار

• Welding Technology
• Surface Protection
• Corrosion Resistance
• +۳ مورد دیگر

Tomislav Šolić serves as an Assistant Professor at the Department of Production Engineering, Faculty of Mechanical Engineering, University of Slavonski Brod, where he has been employed since 2015. Holding a Ph.D. in Technical Sciences with specialization in Modern Production Processes, his academic career is deeply rooted at this institution where he completed all levels of education. Dr. Šolić's academic qualifications include: Doctor of Technical Sciences (2016–present), Postgraduate doctoral study module "Modern Production Processes" Master of Science in Mechanical Engineering (2013–2015), Graduate study in Mechanical Engineering University Bachelor of Mechanical Engineering (2010–2013), Undergraduate study of mechanical engineering His research program centers on welding technology , surface protection , and corrosion resistance , with particular emphasis on process parameter optimization. Dr. Šolić employs advanced methodologies including fuzzy logic modeling and statistical regression analysis to address complex engineering challenges in manufacturing. His scholarly output demonstrates consistent innovation in materials engineering, with recent publications revealing strong industry collaboration in automotive and shipbuilding sectors. Key research threads include computational modeling of plasma cutting processes, optimization of protective coatings, and failure analysis of welded structures. Dr. Šolić's scientific contributions have been recognized through: Academic achievement award from Slavonski Brod Welding Technology Society (2013) CEEPUS mobility fellowship at Obuda University, Budapest (2017) His teaching portfolio includes Production Processes III and Surface Protection courses, while research leadership spans multiple domains: University Research : Ni-alloy welded layer optimization and residual stress studies Institutional Projects : Technological parameter effects on material integrity European Initiatives : RCK-Slavonika 5.1 project leadership Industry Partnerships : Collaborative testing of shopprimers with industrial partners (2017, 2020) As an active member of the Croatian Society for Materials Protection and Welding Technology Society Slavonski Brod, he bridges theoretical research with practical industrial applications through interdisciplinary team collaborations within the university's production engineering facilities.

• Machine Learning in Materials Science
• AI for Biomaterials
• Lignin-Carbohydrate Complexes
• +۳ مورد دیگر

Dr. Matthias Stosiek is a Lecturer and researcher at the Technical University of Munich (TUM) , affiliated with the TUM School of Natural Sciences , Department of Physics , and the Chair of AI-based Materials Science led by Prof. Dr. Patrick Rinke. His role involves both teaching and advanced research in applying machine learning to materials science and biophysical systems. Education: PhD (Dr. rer. nat.), Universität Regensburg , 2020. Dissertation: "Self-consistent-field ensembles of disordered Hamiltonians: Superconductor-Insulator Transition" under Prof. Dr. Ferdinand Evers. Research Interests: Dr. Stosiek's research integrates machine learning with materials science and biophysics . He focuses on understanding the structure-property relationships of Lignin-Carbohydrate Complexes (LCCs) , a key component in plant biomass. His work includes developing AI-driven models to predict and optimize material properties, contributing to sustainable materials and biorefinery processes. He also explores disordered systems and superconductivity , particularly the superconductor-insulator transition in 2D materials. Publications Overview: His recent publications (2018–2025) span machine learning applications in materials science , including datasets for LCCs, optimization of polymer actuators, and AI-guided biorefinery processes. Earlier works delve into quantum transport and superconductivity in disordered systems , highlighting his expertise in both fundamental physics and applied AI. Teaching: Dr. Stosiek co-teaches courses such as "Introduction to Machine Learning for Materials Science 2" and its associated computer tutorials. He also supervises student theses, fostering the next generation of interdisciplinary scientists. Labs & Teams: He is an integral part of the Chair of AI-based Materials Science , working alongside Prof. Rinke and a multidisciplinary team including Casper Larsen, Xiangzhou Zhu, Nitik Bhatia, and Prajwal Pisal. The group is located at the Garching campus, a hub for cutting-edge research in physics and materials science at TUM.

• Textile Technologies
• Material Science
• Thermal Properties of Textiles
• +۳ مورد دیگر

Goran Majstorović is a Professor at the Department of Physics and Materials, Faculty of Technical Sciences in Čačak, University of Kragujevac. He specializes in textile technologies, with a focus on thermal properties of clothing materials and smart textiles. Teaching areas: Technical preparation of clothing production, textile design, thermal insulation analysis Research spans 2011-2023, emphasizing thermal resistance, protective clothing, and adaptive textile systems Key collaborations with institutions like Tekstilno-tehnološki fakultet Zagreb His work bridges material science and practical textile engineering, addressing both industrial applications and innovative design challenges. Publications highlight thermal insulation chamber properties, multi-layer protective jackets, and intelligent clothing systems, often integrating experimental and computational methodologies. Professional history includes 31 years in textile industry leadership roles before transitioning to academia in 2021. He has contributed to international conferences and journals with a focus on practical implementation of textile innovations.

Karolina Wieszczyckaمشاهده پروفایل

استاد

• Chemical Engineering
• Separation Methods
• Material Science
• +۵ مورد دیگر

Professor Karolina Wieszczycka is a faculty member at the Poznań University of Technology, Faculty of Chemical Technology, Department of Organic and Bioorganic Chemistry. She holds a PhD (2004) and habilitation degree (2015), both from Poznań University of Technology. Her research focuses on synthesis of complexing compounds, surface functionalization of organic and inorganic materials, sorption and extraction methods, and applications of new materials in industrial fields. Her work spans material science, chemical engineering, and environmental applications with particular emphasis on metal extraction and separation processes. Professor Wieszczycka's recent publications demonstrate a strong trend toward developing novel materials for metal recovery, particularly using ionic liquids, functionalized silicas, and polymer-based sorbents. Her research bridges fundamental chemistry with practical environmental applications, especially in wastewater treatment and resource recovery from industrial waste streams. She currently serves as Project Manager for two significant research grants: an NCN OPUS 14 project on specialized sorbents for metal removal (2018-2021) and a NAWA bilateral exchange project with Portugal on new carriers for noble metal separation (2019-2021). Professor Wieszczycka has supervised two doctoral dissertations and maintains active scientific cooperation with both national institutions (including the Institute of Bioorganic Chemistry of the Polish Academy of Sciences) and international research centers across Europe. She serves as a reviewer for multiple international funding agencies including Horizon 2020, CONICYT (Chile), ANR (France), and NAWA (Poland).

Sylwia Włodarczakمشاهده پروفایل

استادیار

• Spraying liquids
• Multiphase flows
• Production and testing of emulsions
• +۳ مورد دیگر

Dr. Eng. Sylwia Włodarczak is an active faculty member at Poznań University of Technology, specifically within the Faculty of Chemical Technology, Institute of Chemical Technology and Engineering, and Department of Chemical Engineering and Equipment. She maintains an office in Hall A22, room 2, and can be contacted at +48 61 665 21 57 or sylwia.wlodarczak@put.poznan.pl. Her ORCID identifier is 0000-0003-0561-0177. Dr. Włodarczak completed her academic journey at Poznań University of Technology, earning her engineering degree in 2011, Master of Science in Engineering in 2012 (specializing in Bioprocess and Biomaterials Engineering), and Doctor of Technical Sciences in Chemical Technology in 2016. Her doctoral dissertation focused on 'Analysis of hydrodynamics in swirl atomizers'. Her primary research interests span Spraying liquids, Multiphase flows, Production and testing of emulsions, and Static mixing . These research areas are deeply integrated with chemical process engineering, with applications in environmental protection, pharmaceutical technology, and energy systems. Her work demonstrates strong interdisciplinary connections between fluid dynamics, process engineering, and materials science. Analysis of her recent publications (2022-2025) reveals a consistent research trajectory focused on fluid dynamics phenomena, particularly in spray systems and multiphase flows. Her work combines experimental approaches with computational modeling, increasingly incorporating artificial intelligence techniques for process optimization. Key thematic areas include atomization processes, emulsion technology, flow regulation systems, and separation processes with applications across environmental engineering and energy sectors. Dr. Włodarczak actively supervises graduate students, having served as co-supervisor for Andżelika Krupińska's doctoral dissertation on 'Hydrodynamic analysis in two-phase swirl flow atomizers' (2020). She is also a member of the PP 2020 University Recruitment Team at Poznań University of Technology. Her research involves extensive scientific cooperation with institutions including Sumy State University (Ukraine), Warsaw University of Technology, Opole University of Technology, University of Opole, Poznań University of Life Sciences, University of Zielona Góra, Łukasiewicz Research Network, and industrial partners such as Phyto Pharm Klęka SA and ADOB SA.

Florian Hartmannمشاهده پروفایل

پژوهشگر

• Soft Robotics
• Additive Manufacturing
• Sustainable Technology
• +۳ مورد دیگر

Dr. Florian Hartmann is a Research Group Leader at the Max Planck Institute for Intelligent Systems , where he heads the Biomimetic Materials and Machines Group . His work bridges soft robotics , functional material design , and sustainable technology , with applications in environmental monitoring and agriculture . PhD in Technical Sciences (2021), Johannes Kepler University Linz, Austria Postdoctoral research (2021–2023) at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland His research focuses on: Soft robotics and electrohydraulic actuators Additive manufacturing of functional materials Biodegradable and sustainable components Stretchable electronics for robotics The Biomimetic Materials and Machines Group develops technologies like self-healing actuators , biogels , and degradable robotics , emphasizing environmental impact reduction and agricultural applications . Publications highlight interdisciplinary innovation in microfabrication , polymer chemistry , and electromagnetic actuation . Contact: hartmann@is.mpg.de

• Fracture mechanics
• Material mechanics
• Constitutive modeling
• +۵ مورد دیگر

Martin Kroon is a Professor in Material Mechanics at the Department of Mechanical Engineering, Faculty of Technology, Linnaeus University. His research focuses on fracture mechanics, material mechanics, and constitutive modeling of materials, with particular expertise in polymer mechanics and computational methods. His primary research interests include: Fracture mechanics and failure analysis Constitutive modeling of polymers and other materials Finite element method and computational mechanics Solid mechanics and material behavior Welding mechanics and residual stress analysis Professor Kroon leads research in several key areas, with a strong focus on developing advanced constitutive models for semi-crystalline polymers using Eulerian frameworks. His work bridges theoretical mechanics with practical engineering applications, particularly in the analysis of injection-molded polymer structures, welding mechanics, and material failure prediction. Recent research has increasingly incorporated machine learning techniques to enhance traditional constitutive models. His research group actively investigates the mechanical behavior of high-density polyethylene (HDPE) and low-density polyethylene (LDPE), with applications ranging from marine structures to industrial components. The group's work combines experimental testing with sophisticated numerical modeling to understand complex material behaviors under various loading conditions. Professor Kroon has received significant research funding for projects including: Seaworthiness assessment of WAAM manufactured marine propellers FEA of residual stresses in welded structures Fitness For Service assessment of metallic structures In-line visual inspection using unsupervised learning Smart Industry educational initiatives He is affiliated with multiple research groups at Linnaeus University: Mechanical Engineering research group Smart Industry Group (SIG) Welding Mechanics Laboratory (WML) Scientific Computing and Partial Differential Equations

Petra Uhlmannمشاهده پروفایل

پژوهشگر

• Nanostructured surfaces and thin films
• Polymer brushes
• Intelligent and adaptive switching surfaces
• +۹ مورد دیگر

Dr. Petra Uhlmann serves as Head of the Nanostructured Materials Department at the Leibniz Institute for Polymer Research Dresden (IPF), a leading German research institution specializing in polymer science. Her work bridges fundamental surface science with practical applications in coatings, biointerfaces, and nanotechnology. Her research focuses on nanostructured surfaces and thin films , with particular expertise in polymer brushes, intelligent adaptive surfaces, and physical chemistry of interfaces. She investigates surface functionalization techniques, coatings technology, adsorption phenomena on polymer surfaces, and characterization methods for nanoscale interfaces. Her work extends to nano/micro fluidics, biointerfaces, sensors, and nanocatalysts, demonstrating a multidisciplinary approach spanning materials science, chemistry, and engineering. Dr. Uhlmann holds significant leadership positions including Chair of the board "Combined Surface Technology" representing four German coatings associations (DFO, DGO, Inplas, EFDS), membership on the scientific board of Deutsche Forschungsgesellschaft für Oberflächenbehandlung (DFO), and participation in the "Functional Surfaces" cooperation network (fotec). As an active scientific contributor, she serves as reviewer for AiF (Arbeitsgemeinschaft Industrieller Forschung), National Science Foundation (NSF), and over 15 major journals from ACS, Wiley VCH, Elsevier, and Springer in materials science and physico-chemistry. She teaches courses on Physiko-Chemistry of Interfaces and Protein Adsorption, demonstrating her commitment to academic education alongside research leadership.