جست‌وجوی استاد و پژوهشگر

• Discourse Analysis
• Political Communication
• Multimodal Analysis
• +۳ مورد دیگر

Maslathif Dwi Purnomo is affiliated with Charles Sturt University, serving as a PhD co-supervisor within the Gulbali Research Institute under the discipline of Social Work and Arts. His role involves internal HDR supervision, contributing to advanced research training and academic mentorship. His research interests center on the intersection of language, politics, and power, with a regional focus on Indonesia. Key areas include: Discourse and political communication Multimodal analysis of public speeches Sociolinguistics and language in institutional power Indonesian political discourse, especially presidential rhetoric The supervision activity recorded indicates engagement in high-level academic mentoring, particularly in qualitative and critical linguistic approaches to political events. While no publications are listed, the thematic focus of the supervised thesis suggests strong expertise in linguistic analysis of political narratives. He has contributed to national-level research recognition through supervisory roles, though no scientific awards are documented. His academic service includes mentoring HDR candidates, specifically co-supervising research on President Jokowi's speeches. Maslathif Dwi Purnomo is associated with the Gulbali Research Institute, a multidisciplinary research center focusing on social impact, equity, and community engagement, particularly in regional Australia and Southeast Asia.

Jed Elisonمشاهده پروفایل

استاد

• Developmental social neuroscience
• Structural brain development and social cognition
• Visual attention
• +۶ مورد دیگر

Jed Elison is the Irving B. Harris Professor of Child Development and Distinguished McKnight University Professor at the University of Minnesota’s Institute of Child Development. His research focuses on developmental social neuroscience, structural brain development, and early autism detection. BA in Psychology and English (2005), University of Utah PhD in Psychology (2011), University of North Carolina-Chapel Hill Postdoc in Social Neuroscience (2013), California Institute of Technology Elison’s work examines how attentional orienting drives early cognitive and social development using eye tracking and neuroimaging (MRI, DWI). Key areas include autism , emerging psychopathology , and white matter microstructure . Recent studies model longitudinal trajectories in ASD and explore social-emotional competence. His 2025 articles address infant brain imaging datasets, gesture-vocabulary relationships in autism, and adaptive functioning in corpus callosum agenesis. Collaborative work spans Developmental Science , Pediatrics , and Autism Research . Irving B. Harris Professor of Child Development Distinguished McKnight University Professor Elison advises PhD students in the Cognition and Neurodevelopmental Studies (CNS) Lab, collaborating with Dr. Megan Swanson. The CNS Lab investigates infant brain-behavior associations, particularly in high-risk populations like those with corpus callosum agenesis or congenital CMV . Techniques include MRI , EEG , and behavioral assessments.

• Materials Science
• Organic Chemistry
• 3D Bioprinting
• +۳ مورد دیگر

Dr. Cédric Bergerbit is a researcher at RWTH Aachen University's DWI – Leibniz Institute for Interactive Materials, specializing in synthetic hydrogels for 3D bioprinting. He leads efforts to develop cell-friendly bioinks using fully synthetic precursors, aiming to create functional 'mini-organs' for tissue engineering. His work focuses on rapid, radical-free crosslinking processes and scalable models of human kidney fibrosis. As part of the De Laporte research group, he contributes to projects like TriggerINK, which explores bioink-based cartilage replacement. His recent publications highlight advancements in renal disease modeling and synergistic bioprinting techniques. No scientific awards have been listed, though his research has implications for regenerative medicine and biomaterials innovation.

Roza Gunes Bayrakمشاهده پروفایل

استادیار

• Neuroimaging
• Computational Neuroscience
• Brain-Body Interactions
• +۳ مورد دیگر

Dr. Roza Gunes Bayrak is a Senior Research Engineer and Research Assistant Professor in the Department of Electrical and Computer Engineering at Vanderbilt University, with secondary appointments in the Department of Computer Science. She leads the Neuroimaging & Brain Dynamics Lab (NEURDY Lab) and is affiliated with multiple interdisciplinary institutes including the Vanderbilt Institute for Surgery and Engineering (VISE) and the Vanderbilt University Institute of Imaging Science (VUIIS). PhD in Computer Science from Vanderbilt University (2023) MS in Electrical Engineering from Tufts University BS in Electronic and Communication Engineering from Çankaya University, Turkey Her research focuses on advancing neuroimaging methodology for studying brain dynamics and brain-body interactions. Key areas include: Temporal modeling of neuroimaging data Development of open-source tools like PRAGMA and PhysioPy Graph-based machine learning for brain connectomics Reconstruction of physiological signals from fMRI data Interactive visualization techniques for functional brain parcellation Her recent publications emphasize: Graph neural networks for analyzing brain connectivity networks (Neurograph 2023) Deep learning approaches to decode respiration and heart rate from fMRI (DeepPhysioRecon 2023) Subject-specific functional brain mapping techniques (2022-2024) Reproducibility studies in white matter tractography (2021-2022) Roza actively promotes open science through leadership roles in initiatives like BrainHack Vanderbilt and the Organization for Human Brain Mapping's Open Science Special Interest Group.

• Stroke Neurology
• Neuroimaging
• Cerebrovascular Diseases
• +۴ مورد دیگر

Robin Lemmens is a Professor at the Faculty of Medicine, KU Leuven, and leads the Laboratory of Neurobiology (VIB-KU Leuven). He serves as head of Academic Consultants Training in Specialist Medicine and Program Director of the POC Medical Specialist in Training. His affiliations include the LBI - KU Leuven Brain Institute and membership in multiple institutional committees including the Metaforum Steering Committee and Faculty Council of Medicine. Dr. Lemmens' research focuses on stroke neurology with particular expertise in neuroimaging, cerebrovascular diseases, and endovascular therapy. His work spans ischemic stroke management, anticoagulation therapy, intracerebral hemorrhage, and advanced imaging techniques for stroke diagnosis and treatment planning. Current research explores AI applications in stroke imaging, optimal timing of anticoagulation after stroke, and endovascular therapy in extended time windows. Analysis of recent publications reveals a strong emphasis on translational stroke research with significant contributions to clinical trial methodology. Key themes include validation of imaging biomarkers, optimization of thrombolytic and anticoagulant therapies, and development of AI tools for stroke lesion segmentation. His work frequently appears in high-impact journals including Stroke , Neurology , and The Lancet . Dr. Lemmens supervises research projects and students, with recent supervision including Oosterbos, C. on peroneal nerve entrapment research. His grant portfolio includes multiple active projects totaling millions in funding, with recent grants focusing on secondary stroke prevention, comprehensive stroke management systems, and AI for stroke outcome prediction. He leads the Laboratory of Neurobiology at VIB-KU Leuven, which collaborates extensively with international stroke research networks. Current research directions include developing patient-centered stroke care pathways, advanced imaging techniques for early ischemic changes, and personalized stroke diagnostics and treatment protocols.

• Protein Engineering
• Enzyme Engineering
• Biocatalysis
• +۳ مورد دیگر

Prof. Ulrich Schwaneberg serves as a University Professor at RWTH Aachen University's Faculty of Mathematics, Computer Science and Natural Sciences within the Institute of Biotechnology. His research group operates from the Biology Sammelbau facility (Worringerweg 3, Aachen) and maintains strong ties with the DWI - Leibniz Institute for Interactive Materials. His primary research focuses on protein engineering and biocatalysis , with significant contributions to plastic degradation technologies (particularly PET hydrolases), material-binding peptide development , and high-throughput screening methodologies . Key research thrusts include engineering enzymes for plastic recycling, developing anchor peptides for industrial applications, and creating novel biocatalytic systems for sustainable chemistry. Recent publications reveal a strong trend toward computational-guided enzyme design (using MD simulations and machine learning) combined with practical applications in environmental remediation . His team actively develops solutions for microplastic detection, phosphate recovery, and textile functionalization using biohybrid systems. The 2025 article portfolio demonstrates particular emphasis on PET degradation technologies and enzyme immobilization strategies. Prof. Schwaneberg leads the recently launched Materials Lab Incubator (MerLIn) funded with over 7 million euros from BAFA, and coordinates the Bio4MatPro competence center connecting industry partners with academic research. His group actively recruits Chinese students through CSC fellowships and organizes the annual Aachen Protein Engineering Summer School (AcES2) . The Schwaneberg group maintains state-of-the-art facilities for directed evolution, high-throughput screening, and biocatalytic process development, with strong industry partnerships focused on sustainable material innovations. Current initiatives include the development of flame-retardant textile coatings using biohybrid anchor peptides and scalable systems for plastic upcycling.

Greg Zaharchukمشاهده پروفایل

استاد

• Neuroimaging
• Radiology
• Artificial Intelligence in Medical Imaging
• +۴ مورد دیگر

Greg Zaharchuk is a Professor of Radiology specializing in Neuroimaging and Neurointervention at Stanford University's School of Medicine. His academic roles include leadership in clinical and translational imaging research. He holds an MD from Harvard Medical School, a PhD in Applied Physics from Harvard/MIT, and dual undergraduate degrees in Materials Science & Engineering and German Studies from Stanford. Education: MD, Harvard Medical School (2000) PhD, Harvard/MIT (1999) BS & BA, Stanford (1990) Research Focus: Dr. Zaharchuk's work centers on advancing neuroimaging techniques for cerebrovascular diseases, stroke, and neurodegenerative disorders. He pioneers AI-driven innovations in MRI/PET fusion, low-dose imaging, and deep learning models to enhance diagnostic accuracy and clinical decision-making. Key areas include stroke outcome prediction, amyloid PET reconstruction, and cross-modality imaging integration. Research Trends: His recent articles emphasize AI applications in neuroimaging, such as improving low-field MRI quality and PET reconstruction using MRI priors. He also explores stroke lesion segmentation, CBF quantification, and the ethical implications of AI in neuroradiology. Affiliations & Labs: He leads the Center for Advanced Functional Neuroimaging at Stanford, advancing cutting-edge imaging technologies. His research bridges clinical practice and innovation, addressing challenges in ischemic stroke, Alzheimer's imaging, and radiation dose reduction. Grants & Collaborations: His work is supported by NIH grants and industry partnerships, focusing on multimodal imaging systems and AI-driven diagnostics. Collaborations include international neuroradiology societies and interdisciplinary teams in neurology and computer science.

Georg Spinnerمشاهده پروفایل

مدرس

• Medical Image Analysis
• Bayesian Networks
• Computational Biology
• +۳ مورد دیگر

Georg Spinner is a Lecturer and Head of the Research Group for Medical Image Analysis & Data Modelling at the Institute of Computational Life Sciences, Zurich University of Applied Sciences (ZHAW). His work integrates computational methods with biomedical research, focusing on stroke management, intracranial aneurysm risk modeling, and quantitative medical imaging. Primary affiliation: Zurich University of Applied Sciences Research focus: Bayesian networks, medical imaging, computational epidemiology Projects: GEMINI (digital twins for stroke), Stroke DynamiX (causal networks in stroke care), IVIM muscle activation studies Using Bayesian networks and advanced imaging techniques like IVIM DWI, his research aims to develop data-driven decision support systems for neurovascular diseases. He has contributed to modeling stroke health data and intracranial aneurysm risk stratification through international multicenter collaborations. His work spans computational biology, neuroinformatics, and digital health, with publications in journals like Medical Image Analysis and conferences including the International Conference on Computational and Mathematical Biomedical Engineering. Key methodologies include causal inference, dynamic disease modeling, and quantitative image analysis.

Igor Potemkinمشاهده پروفایل

پژوهشگر

• Polymer Physics
• Soft Matter Physics
• Theoretical Chemistry
• +۵ مورد دیگر

Prof. Dr. Igor Potemkin is an Associated Researcher at Moscow State University, leading a group focused on theoretical studies and computer simulations of polymer self-organization, particularly in complex architectures like arborescent, comb, and gel-like polymers. His work intersects polymer physics, soft matter, and materials science, with collaborations at the DWI and other institutions. Research emphasizes micelle/gel formation, polyelectrolyte interactions, and applications in drug delivery and biomimetic systems. Education details are not explicitly stated in the text, but his academic trajectory is evident through his extensive publication record and project leadership. Key research interests include microgel behavior, interfacial phenomena, and nanoscale structure-property relationships. Notable projects include studies on amphiphilic microgels, ionic liquids, and gradient copolymers. His research group has explored over 100 publications, focusing on topics like microgel self-assembly, polyelectrolyte complexes, and molecular motor design. Collaborations span institutions worldwide, with a strong emphasis on computational modeling and experimental validation. The team includes postgraduates and students involved in projects such as 'Functional Microgels and Microgel Systems' (SFB-985) and Helmholtz-RSCF initiatives. Scientific contributions include advancements in polymer thin films, nanoparticle-stabilized colloids, and the development of novel biomaterials. His work bridges theoretical predictions with practical applications in nanotechnology and biomedical engineering.

James C. Brownمشاهده پروفایل

دانشیار

• Public Sector Leadership
• Organizational Design and Change
• Law Enforcement and Policing
• +۳ مورد دیگر

Dr. James C. Brown is a tenured Associate Professor of Management & Administrative Studies and Director of the Master’s Degree in Healthcare Administration at Utica University’s School of Business & Justice Studies. He joined the full-time faculty in 2014 after holding senior administrative roles, including Vice President for the School of Online & Extended Studies. He also serves as an inpatient pulmonary team liaison at a children’s hospital, supporting interdisciplinary care teams. Education: B.S. (Criminal Justice, Utica College, 1988), M.S. (Public Administration, Sage Graduate School, 1994), Ed.D. (Educational Leadership, University of Phoenix, 2007). Research focuses on leadership, organizational design, law enforcement practices, and healthcare administration. His current project develops a rapid assessment tool to address non-clinical barriers in hospital discharge processes. He co-authored a criminal justice textbook and has published in peer-reviewed journals. Professional Affiliations: Academy of Criminal Justice Sciences (ACJS), American Society for Public Administration (ASPA), International Association of Chiefs of Police (IACP), and New York State Association of Chiefs of Police (NYSACOP). Public Safety Career: Over 30 years as a police officer, commander, administrator, firefighter, and EMT, including security roles for the 1996 Atlanta Olympics and 2002 Salt Lake City Olympics. Served as Oneida County STOP-DWI Program Administrator and director of security for the Boilermaker Roadrace.

• Magnetic Resonance Imaging
• Neuroimaging
• Medical Physics
• +۳ مورد دیگر

Professor David Porter is a physicist specializing in magnetic resonance imaging (MRI) physics, affiliated with the School of Psychology & Neuroscience at the University of Glasgow. He joined the university in 2017 to work on the 7T MRI scanner at the Imaging Centre of Excellence (ICE) on the Queen Elizabeth University Hospital campus. His research focuses on optimizing MRI methods for clinical and neuroscience applications, particularly leveraging high-field 7T systems to enhance image quality and applicability in neurology, diffusion-weighted imaging (DWI), motion correction, and parallel transmission techniques. Education: B.Sc. in Physics from Sheffield University, Ph.D. from King’s College London (focusing on magnetic resonance spectroscopy of human tumors). Postdoctoral work at Great Ormond Street Hospital (developing MRI methods for epilepsy and stroke in children) and industry experience at Siemens Healthcare and the Fraunhofer MEVIS Institute, where he led projects in MRI sequence design and motion correction. Research interests include advancing MRI technology for clinical translation, improving diffusion-weighted imaging, and developing novel techniques for high-field MRI systems. His work emphasizes practical applications such as cervical spine imaging, B1+ shimming, and multislice-to-volume motion correction. Publications span MRI coil design, SAR management, and artifact reduction in spectroscopic imaging. Collaborations involve teams at ICE, SINAPSE, and international institutions. His contributions bridge academic research and clinical MRI advancements.

Patricia Dankersمشاهده پروفایل

استاد

• Biomedical Materials
• Supramolecular Chemistry
• Regenerative Medicine
• +۳ مورد دیگر

Patricia Dankers is a Full Professor of Biomedical Materials at the Department of Biomedical Engineering, Eindhoven University of Technology (TU/e). She leads the DankersLab, focused on developing functional biomaterials using supramolecular chemistry for regenerative medicine applications. Her research emphasizes designing adaptive materials to control biological processes in the human body. Academic Background: Dankers earned her PhD in Chemistry at TU/e (2006) and a second PhD in Medical Sciences at Groningen University (2013). She held roles at SupraPolix, UMCG, and as a visiting professor at Northwestern University (2010). Her career progression includes appointments as Assistant Professor (2008), Associate Professor (2014), and Full Professor (2017). Research Interests: Her lab explores supramolecular polymers, hydrogels for drug delivery, antimicrobial surfaces, and in situ tissue engineering. Key areas include tuning material properties via molecular design and high-throughput screening for biomaterial-cell interactions. Grants & Awards: Veni (2008), Vidi (2017), ERC Starting Grant (2012), DSM Science & Technology Award, Pauline van Wachem Award, and membership in prestigious academies like DJA (KNAW) and Academia Europaea. Advising & Labs: Supervised PhD candidates including Boris Arts, Riccardo Bellan, and Maritza Rovers. Active in startups like Dankers Group BV and UPyTher, and chairs roles in institutions like DWI Leibniz Institute and the Smart Biomaterials Consortium. Labs & Teams: Heads the Biomedical Materials & Chemistry group within TU/e’s ICMS and collaborates internationally on projects like kidney regeneration and synthetic heart valves.

Dwi Rahayuمشاهده پروفایل

مدرس

• Computer Science
• Data Science
• Smart Home Technologies
• +۳ مورد دیگر

Dwi Rahayu is a Lecturer in the Department of Human Centred Computing at Monash University. She is a Chief Investigator in the 2025 project 'Integrating Equity, Diversity, and Inclusion (EDI) into ICT Education: A GenAI-Powered Approach to Curriculum Development' funded by the Australian Council of Deans of Information and Communications Technology (ACDICT). Her research spans smart energy systems, wireless sensor networks, data science, and educational technology. Her expertise contributes to UN Sustainable Development Goals, particularly in advancing equitable and inclusive education through technology. Research collaborations include work on multimodal analytics for team teaching, sentiment analysis of e-commerce reviews, and material science innovations in metallurgy. Key research trends include optimizing data routing in sensor networks, developing context-aware energy solutions, and leveraging large language models for topic and sentiment analysis. She has advised multiple projects involving energy management, healthcare practices, and corporate financial analysis. No scientific awards are explicitly mentioned in the provided texts. Her work also involves community-focused initiatives, such as improving web programming skills through Laravel frameworks and enhancing logical thinking via game development in adolescents. Projects often emphasize practical applications of technology in public administration and healthcare contexts.

Jed Elisonمشاهده پروفایل

استاد

• Developmental social neuroscience
• Structural brain development and social cognition
• Visual attention
• +۶ مورد دیگر

Jed Elison is a Professor at the Institute of Child Development within the College of Education and Human Development at the University of Minnesota . He is renowned for his work in developmental social neuroscience, focusing on neural mechanisms of early social communication and autism pathogenesis. He serves as a co-investigator for the Infant Brain Imaging Study (IBIS) , funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development , and contributes to major neuroimaging projects like the UNC/UMN Baby Connectome Project (BCP) . BA , Psychology and English, University of Utah (2005) PhD , Psychology, University of North Carolina - Chapel Hill (2011) Postdoc , Social Neuroscience, California Institute of Technology (2013) Elison’s research centers on developmental social neuroscience, structural brain development, social cognition, and early autism identification using neuroimaging (MRI, DWI). His work explores how visual attention and white matter organization influence social communication in infants and toddlers, with implications for autism and emerging psychopathology. Recent publications emphasize longitudinal trajectories of gestural language, brain-behavior associations, and neurodevelopmental heterogeneity. His scientific accolades include the Irving B. Harris Professor of Child Development and Distinguished McKnight University Professor titles. Elison actively mentors graduate students and collaborates with interdisciplinary teams in the Cognition and Neurodevelopmental Studies Lab .

Flavio Duarte Silvaمشاهده پروفایل

استادیار

• Radiology
• Medical Imaging
• 3D MRI Techniques
• +۶ مورد دیگر

Flavio Duarte Silva is an Assistant Professor of Radiology at UT Southwestern Medical Center, specializing in Musculoskeletal Radiology. He holds an MD and PhD from Universidade Federal de São Paulo (Brazil), with additional fellowships at Université Paris Descartes and the University of Miami. His research focuses on advanced 3D MRI techniques for musculoskeletal applications, including sports medicine, diabetic foot imaging, sarcoma characterization, and image-guided interventions. Education: MD: Universidade Federal de São Paulo Radiology Residency: Universidade Federal de São Paulo Musculoskeletal Fellowship: Universidade Federal de São Paulo Research Fellowships: Université Paris Descartes & University of Miami PhD: Universidade Federal de São Paulo Research Interests: Dr. Silva’s work emphasizes 3D MRI advancements in joint imaging, musculoskeletal tumors, tendon pathology, and clinical translation of imaging innovations. He has pioneered protocols for diagnosing posterior tibialis tendon dysfunction and flat foot deformity. Professional Activities: He serves on the Paulista Society of Radiology, the International Skeletal Society, and the American Roentgen Ray Society. His >45 publications span musculoskeletal imaging, rheumatological disorders, and technical innovations. Labs/Teams: Active in UT Southwestern’s Musculoskeletal Radiology Division, collaborating on MRI-based diagnostic systems (e.g., MSKI-RADS, NS-RADS).