جستجوی استاد راهنمای دانشگاهی

Dr. Gabriella Mosca is a Junior Group Leader at the Centre for Biochemistry (ZMBP) at the University of Tübingen, leading the Biomechanical Modeling of Morphogenesis (BM²) Lab within the Department of Genetics. Her research focuses on understanding the interplay between biomechanics and morphogenesis in plant systems, particularly using computational tools like MorphoMechanX . This software integrates finite element methods to model 3D tissue growth, cell wall mechanics, and genetic signaling in plant development. Her work bridges computational modeling with experimental data from partner labs, addressing questions such as how mechanical forces influence growth patterns and cell fate decisions. Key areas include explosive seed dispersal mechanics, leaf shape diversity, and ovule primordium development. She collaborates internationally on projects involving plant cell mechanics, tissue stiffness, and developmental constraints. Publications highlight contributions to understanding plant cell geometry, cytokinin signaling in roots, and the role of organ geometry in reproductive cell fate. Current projects emphasize developing customizable computational frameworks to simulate plant growth dynamics from confocal imaging data. The lab actively recruits students with backgrounds in physics, computer science, and mathematics to tackle interdisciplinary challenges in plant morphogenesis.

• Biomechanics
• Plant Morphogenesis
• Computational Modeling
• +۳ مورد دیگر

Prof. Dr. Sebastian Wolf leads the Plant Cell Wall Signalling research group at the Center for Molecular Biology of the University of Tübingen (ZMBP) within the Faculty of Science. His work focuses on understanding how plant cell walls generate and transmit signals that regulate growth, development, and stress responses. Key areas include pectin surveillance via receptors like RLP44, integration of cell wall signals with brassinosteroid pathways, and cell fate decisions in meristems. He also explores cell wall biology in Miscanthus for bioenergy applications, targeting lignin quality optimization. Research highlights include discovering RLP44's role in BR signaling activation, developing inducible CRISPR-Cas9 systems for cell ablation, and identifying MYB transcription factors regulating lignin biosynthesis. His group uses Arabidopsis as a model with cutting-edge techniques like quantitative imaging and omics approaches. Current projects investigate cell wall signaling in shoot apical meristems and transcriptional networks in Miscanthus. Prof. Wolf collaborates internationally and publishes in high-impact journals (Nature Plants, EMBO Journal, Plant Cell). His lab trains PhD students and postdocs in plant cell biology, molecular genetics, and systems biology. Technical staff support advanced microscopy and biochemical analyses. No formal awards are listed, but his work has shaped understanding of cell wall signaling's role in plant development and stress adaptation.

• Plant Cell Wall Signaling
• Plant Physiology and Development
• Cell Wall Biology
• +۳ مورد دیگر

Philip Nakashima is an Associate Professor in the Department of Materials Science & Engineering within the Faculty of Engineering at Monash University. He is an active researcher with a PhD in Physics from the University of Western Australia (2002) and has over 25 years of experience in advanced transmission electron microscopy (TEM) and quantitative convergent-beam electron diffraction (QCBED). He is currently accepting PhD students and is involved in cutting-edge research in materials characterization and quantum information technology. His research focuses on the development and application of advanced electron microscopy techniques to study the structure, bonding, and properties of materials such as metals, alloys, ceramics, and nanostructures. Key areas include quantitative CBED, electron crystallography, digital image restoration, noise quantification, and multi-parameter optimization. He has made seminal contributions to understanding chemical bonding in aluminum and has extensive experience in high-performance computing for materials analysis. His most recent publications demonstrate a strong trend toward integrating machine learning with materials design, particularly for magnesium alloys, while maintaining core expertise in electron diffraction and microscopy. He continues to publish in high-impact journals such as Science , Physical Review Letters , and Acta Materialia . Philip Nakashima has received several prestigious awards for his research excellence: John Sanders Medal (2012) : Awarded by the Australian Microscopy and Microanalysis Society for excellence in electron microscopy techniques. Barry Inglis Medal (2011) : Awarded by Australia’s National Measurement Institute for outstanding achievement in measurement research. The Cowley-Moodie Award (2006) : Recognizing research excellence in electron microscopy in the physical sciences. He has been a visiting researcher at the ARC Future Fellowship (2012–2016) and is currently an Associate Investigator in the Quantum Information Technology project (2023–2027). He teaches advanced crystallography to undergraduate and postgraduate students and has been invited to lecture at international schools on electron and quantum crystallography. His research involves collaboration with leading scientists in Australia and internationally, and he leads work on advanced microscopy for materials engineering applications.

• Transmission Electron Microscopy
• Quantitative Convergent-Beam Electron Diffraction
• Electron Crystallography
• +۱۵ مورد دیگر

Dr. Melanie Bühler is the Head of Electrochemical Energy Systems - Applications at the Department of Microsystems Engineering (IMTEK) at the University of Freiburg. She holds a PhD from the University of Freiburg (2020), focusing on 'Development of novel electrodes for PEM water electrolysis.' Her academic journey includes a Master's in Microsystems Engineering (2016) with work on bio fuel cells and a Bachelor's (2012) in the same field. She is currently the contact person for PEM water electrolysis projects. Her research interests revolve around electrochemical systems, specifically proton exchange membrane (PEM) electrolyzers, catalyst development, material science, and renewable energy systems. Key areas include optimizing electrode configurations, catalyst activity, and membrane assembly technologies. She has contributed to advancements in non-noble metal catalysts and core-shell microparticle designs for improved electrolyzer performance. Dr. Bühler's lab, the Laboratory for MEMS Applications, focuses on applied electrochemical engineering. Her publications highlight innovations in PEM electrolyzer design, electrode fabrication techniques, and material characterization. Her work bridges fundamental electrochemistry with practical applications in sustainable energy systems.

• Electrochemical Engineering
• Renewable Energy Systems
• Material Science
• +۳ مورد دیگر

Dr. Sabrina Seeler is associated with the Department of Economics at the West Coast University of Applied Sciences (FH Westküste), a German institution focused on practical education and applied research. Her work bridges tourism studies with economic frameworks, emphasizing sustainability and resilience in travel systems. University: West Coast University of Applied Sciences Department: Department of Economics Her research explores the socio-economic impacts of tourism, particularly in urban and rural contexts. Key themes include: Tourism acceptance and quality of life Resilience strategies for post-pandemic recovery Psychographic segmentation of travelers Sustainable supply chain practices Community-based destination development Paradoxes of off-the-beaten-track tourism Recent publications highlight her leadership in advancing sustainable tourism frameworks, including insights from the International Competence Network of Tourism Research and Education (ICNT) and analyses of resident perceptions in big German cities. Her Google Scholar articles (2016–2025) demonstrate expertise in: Tourism's role in climate protection Destination branding and reputation Experienced tourist typologies Post-COVID-19 tourism adaptation Measuring sustainability attitudes along the customer journey Cruise tourism recovery strategies

• Sustainable Tourism
• Tourism Management
• Destination Development
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Maria Sole Rigo is a classical philologist currently working as a researcher on the ERC Consolidator Grant 'AntCoCo' at the Humanities Faculty of the University of Bamberg. Her work centers on late antique Greek literature and early Christian texts, particularly focusing on the literary and cultural intersections between pagan and Christian traditions. Education: BA in Classics, University of Udine (2011) MA in Classics, University of Udine (2014) Degree in Humanistic Studies, Scuola Superiore of the University of Udine (2015) PhD in Philology and History of the Ancient World, Sapienza University of Rome (awarded 2020) Her research delves into the transformation of literary and religious motifs in late antiquity, with a special focus on Eudocia Augusta’s poetic hagiography. She employs philological methods to analyze how classical traditions were adapted into Christian narratives. Her work bridges literary analysis, religious history, and cultural transformation. The recent publications highlight a consistent engagement with the figure of Saint Cyprian and Eudocia Augusta’s poetic rewriting of his life, illustrating broader trends in Homeric-Christian synthesis and the sanctification of formerly 'magical' figures. Her reviews reflect a deep interest in late antique intellectual and iconoclastic debates. No scientific awards are currently listed in the provided text. Maria Sole Rigo has not advised any students listed in the available information, and there is no mention of grant leadership or advising roles. She contributes to the AntCoCo project, bringing philological expertise to a multidisciplinary team. She is part of the research team for the ERC Consolidator Grant 'AntCoCo' at the University of Bamberg, collaborating with scholars in late antique studies.

• Late Antique Greek Literature
• Early Christianity
• Classical Philology
• +۴ مورد دیگر

Jila Taherpour is a Physician Scientist affiliated with the Faculty of Medicine at the University of Hamburg , specifically within the Department of Pediatrics at the University Medical Center Hamburg-Eppendorf (UKE). Her clinical and research work focuses on pediatrics and youth medicine , with a specialization in neuroimaging applications for epilepsy management. Contact: Phone +49 (0)40 7410 - 20400 | Email j.taherpour@uke.de | Location O47 Languages: Farsi (Mother tongue), German, English, French Dr. Taherpour's research leverages nuclear medicine techniques like ictal perfusion SPECT to advance epilepsy surgery outcomes. Her publications (2021–2022) address critical questions in seizure onset zone localization and radiopharmaceutical comparisons, contributing to computational neuroscience and pediatric neurology . Her work intersects with medical imaging , neurodiagnostics , and clinical translation , emphasizing precision in pediatric neurological interventions. Collaborative studies with multidisciplinary teams at UKE highlight her integration of clinical practice and academic research.

• Pediatrics
• Neuroimaging
• Nuclear Medicine
• +۳ مورد دیگر

Muhammad Awais Bin Altaf is a researcher specializing in biomedical engineering, machine learning, and wearable technology. His work focuses on low-power embedded systems for neurological and cardiovascular monitoring, including EEG processors for seizure detection and PPG-based blood pressure classification. He has collaborated extensively with co-authors like Wala Saadeh and Jerald Yoo on IEEE journals and conferences. His research interests include Biomedical signal processing Wearable health devices Machine learning for medical diagnostics Energy-efficient hardware design Neurological disorder detection Embedded systems for clinical applications Recent publications highlight trends in shallow neural networks, autoencoders, and hardware acceleration for real-time health monitoring. Key subfields span seizure prediction, stress detection, and impedance-adaptive sensors. Collaborations include institutions in Germany, Finland, and Pakistan. His work often integrates open-source toolflows and industry-standard chip design techniques, emphasizing practical implementations for wearable environments. Contributions to HDR imaging algorithms and biomedical SoCs demonstrate interdisciplinary expertise in signal processing and healthcare technology.

• Biomedical Engineering
• Machine Learning
• Wearable Technology
• +۳ مورد دیگر

Mario Cesarelli is a Professor at the University of Naples Federico II's Department of Biomedical Engineering, with an extensive publication record spanning over three decades. His research bridges engineering and clinical medicine, focusing on developing computational methods for disease diagnosis and patient monitoring through biomedical signal processing and artificial intelligence. Dr. Cesarelli's research spans multiple domains of biomedical engineering with particular emphasis on: Medical imaging analysis and radiomics for neurodegenerative disorders Explainable AI for cancer detection and diagnosis Biomechanics and motion analysis for neurological conditions Cardiac signal processing and analysis Generative models for medical image synthesis and authentication His recent publications demonstrate a strong trend toward explainable deep learning applications in healthcare, particularly for neurodegenerative diseases like Parkinson's and Alzheimer's, as well as various cancer diagnostics. The work increasingly focuses on model interpretability to build clinician trust in AI-assisted diagnosis. Dr. Cesarelli maintains extensive collaborations with a core research group including Paolo Bifulco (46 joint publications), Maria Romano (41), Gianni D'Addio (34), Antonella Santone (27), and Francesco Mercaldo (26), forming interdisciplinary teams that combine engineering expertise with clinical knowledge.

• Biomedical Signal Processing
• Medical Imaging
• Explainable Artificial Intelligence
• +۳ مورد دیگر

Yubao Liu is a Professor at Sun Yat-sen University's School of Data and Computer Science, Department of Computer Science, with a prolific research career spanning over two decades in computer science. His work demonstrates significant contributions to database systems, data mining, and spatio-temporal analysis. Professor Liu's research interests focus on Data Mining , Database Systems , Traffic Flow Prediction , and Graph Neural Networks . His recent work has concentrated on developing advanced techniques for large-scale traffic flow prediction, crowd flow analysis, and spatio-temporal modeling using deep learning approaches. His research bridges theoretical computer science with practical applications in transportation systems and urban computing. Liu's publication record shows consistent high-impact contributions, with recent work emphasizing graph-based neural network architectures for traffic forecasting problems. His research demonstrates a clear evolution from foundational database work to cutting-edge applications of deep learning in transportation and social network analysis. Professor Liu has collaborated extensively with researchers including Weiyang Kong, Kaiqi Wu, Sen Zhang, Genan Dai, and Youming Ge, indicating a strong research group focused on spatio-temporal data analysis and deep learning applications. His academic advising is evident through publications where his students appear as first authors, suggesting an active mentorship role in training the next generation of computer scientists specializing in data-intensive applications.

• Data Mining
• Database Systems
• Spatial Databases
• +۵ مورد دیگر

Demetrio Arturo Ovalle Carranza is a Professor in the Department of Computer Science at the National University of Colombia's School of Engineering. With an academic career spanning over three decades since earning his PhD from Joseph Fourier University in Grenoble, France in 1991, he has established himself as a prominent researcher in multi-agent systems and educational technology. His research focuses on developing intelligent systems for education, particularly in the areas of multi-agent architectures, adaptive learning environments, context-aware educational applications, and learning object recommendation systems. His work bridges artificial intelligence with practical educational applications, creating systems that adapt to individual learner needs and contexts. Analysis of his recent publications (2015-2020) reveals a strong trend toward developing sophisticated multi-agent systems for educational applications, with increasing emphasis on context-awareness, personalization, and adaptive learning techniques. His research demonstrates consistent evolution from foundational multi-agent work to sophisticated educational applications integrating fuzzy logic, ontologies, and collaborative filtering. Ovalle Carranza has mentored numerous researchers who have become active contributors in the field, including Oscar M. Salazar, Néstor D. Duque, Valentina Tabares Morales, and others who frequently appear as co-authors on his publications. His collaborative network extends across Colombian institutions and international research groups. His laboratory work centers around developing and testing multi-agent educational systems, with particular emphasis on creating adaptive learning environments that can respond to individual student needs and group dynamics. Current projects appear to focus on serious games, health-care applications of intelligent agents, and advanced recommendation systems for educational resources.

• Multi-agent Systems
• Educational Technology
• Intelligent Tutoring Systems
• +۵ مورد دیگر

Prof. Dr. Andreas Reiner is a faculty member in the Department of Cellular Neurobiology at the Faculty of Biology and Biotechnology, Ruhr University Bochum. His research focuses on glutamate receptor signaling, synaptic plasticity, and the development of optical techniques for studying receptor dynamics in the central nervous system. University: Ruhr University Bochum School: Faculty of Biology and Biotechnology Department: Cellular Neurobiology Email: andreas.reiner@ruhr-uni-bochum.de His work emphasizes the use of chemical photoswitches (photoswitchable ligands) for light-based activation/inhibition of ionotropic (iGluRs) and metabotropic (mGluRs) glutamate receptors, enabling precise optogenetic and pharmacological studies. Research also explores receptor desensitization, subunit occupancy, and structural diversity. Recent publications highlight advancements in photoswitchable tools (2023), structural analysis of kainate receptors (2021), and subunit-selective antagonists for NMDA receptors (2020). Earlier work (2013-2016) established foundational techniques for optogenetic control of glutamate receptors.

• Glutamate receptor signaling
• Synaptic plasticity
• Neuropharmacology
• +۵ مورد دیگر

Andreas Fery is a Professor of Physical Chemistry of Polymeric Materials at the Technical University of Dresden and Head of the Institute of Physical Chemistry and Physics of Polymers at the Leibniz Institute of Polymer Research Dresden . His career spans leadership roles since 2015 at TU Dresden, prior professorship at the University of Bayreuth (2001-2015), and group leadership at the Max Planck Institute of Colloids and Interfaces (2001-2007). His research focuses on physical chemistry of polymers , nanofabrication , and nanophotonic materials . Recent work includes hybrid piezoelectric-trioboelectric tactile sensors , quantum dot metasurfaces , and structural analysis of metal-organic frameworks . Key subfields include nanoscale imaging , flexible electronics , and energy-efficient nanodevices . Recent publications highlight interdisciplinary advancements in nanomaterials and sensor technologies . Collaborations span institutions like Technische Universität Dresden , Leibniz Institute , and Max Planck Institute . He is affiliated with the Center for Regenerative Therapies Dresden and Center for Molecular and Cellular Bioengineering , though his core work remains in materials chemistry. Contact: andreas.fery@tu-dresden.de

• Polymer Science
• Physical Chemistry
• Nanofabrication
• +۵ مورد دیگر

Sandra Schick is a Group Leader at the Institute of Molecular Biology (IMB) in Mainz since 2020 and a Junior Faculty Member at the Max Planck Graduate Center (MPGC) since 2021. Her research focuses on ATP-dependent chromatin remodeling complexes, specifically BAF, and their critical roles in cancer pathogenesis and developmental disorders through regulation of DNA accessibility. Her primary research areas include: Chromatin remodeling mechanisms and epigenetic regulation Structure-function relationships of polymorphic BAF complexes Molecular basis of BAF subunit mutations in human diseases Integration of chromatin dynamics with DNA repair and transcriptional control Analysis of her publication record reveals a consistent trajectory in dissecting BAF complex functionality using multi-omics approaches, with emphasis on synthetic lethality networks in cancer and developmental disease contexts. Her work demonstrates how BAF perturbations immediately alter chromatin architecture, providing mechanistic insights for therapeutic targeting. Dr. Schick leads an active research group at IMB that employs CRISPR/Cas9, targeted protein degradation, single-cell genomics, and advanced imaging to investigate chromatin regulation across model systems. She actively recruits experimental and computational scientists to advance understanding of chromatin-related disease mechanisms and resilience pathways.

• Chromatin Biology
• Epigenetics
• Cancer Biology
• +۳ مورد دیگر

Dr. Mahdi Barhoush is a Postdoc researcher and teaching assistant at RWTH Aachen University since 2023. His work focuses on applying machine learning to medical domains, particularly in distributed learning systems and signal processing. PhD (2023): "Using machine learning in the medical field: speaker signal processing and distributed learning systems" MSc (2015): Communication Engineering, RWTH Aachen University BSc (2013): Telecommunication Engineering, Arab American University His research spans medical machine learning, edge computing, and IoT optimization, with recent publications on federated learning, split learning architectures, and privacy-preserving ECG classification systems. He contributes to advancements in energy-efficient AI for resource-constrained environments and speaker localization in hospitals. Scientific achievements include: Best Paper Award at RADAR 2024 He collaborates with the INDA Institute in Aachen, contributing to active research projects in distributed learning, 6G technologies, and biomedical AI applications.

• Machine Learning
• Distributed Machine Learning
• Medical Signal Processing
• +۳ مورد دیگر