جست‌وجوی استاد و پژوهشگر

Fatima AlZahra'a Alatraktchiمشاهده پروفایل

دانشیار

• Biomarkers
• Electrochemical Analysis
• Prostate Cancer Diagnostics
• +۵ مورد دیگر

Fatima AlZahra'a Alatraktchi is an Associate Professor at Roskilde University's Department of Science and Environment. Her research focuses on biomarker detection, electrochemical analysis, and biomedical sensor development, with applications in prostate cancer diagnostics, pregnancy hormone monitoring, and microbial pathogen detection. She is affiliated with the Molecular and Medical Biology Centre for Mathematical Modeling – Human Health and Disease. Key research interests include nanotechnology-driven biosensors, urinary biomarkers for disease staging, and the development of point-of-care diagnostic tools. She has pioneered rapid electrochemical methods for detecting pathogens like Pseudomonas aeruginosa and has contributed to improving early-stage cancer detection through amino acid profiling. Alatraktchi leads the project Investigating the role of neurotransmitters in pancreatic development and islet cell function (2024–2027), combining 4D bioimaging with neurotransmitter sensing. Her work has been featured in 53 media outlets, addressing topics like gender representation in STEM and school-based health testing solutions. Notable awards include the 2019 Forbes 30 Under 30, 2017 Lundbeck Foundation Talent Prize, and 2019 PhD of the Year Award. Her research has produced 36 peer-reviewed publications and one patent, emphasizing translational applications in healthcare technology.

Yaning Liمشاهده پروفایل

دانشیار

• Mechanics of Materials
• Bio-inspired Engineering
• Additive Manufacturing
• +۵ مورد دیگر

Yaning Li is an Associate Professor at Northeastern University's Department of Mechanical and Industrial Engineering, part of the College of Engineering. Her research focuses on mechanics of materials, bio-inspired engineering, additive manufacturing, and mechanical metamaterials. She holds a PhD from the University of Michigan and dual MS degrees from the same institution. Education: PhD (2007), University of Michigan; Dual MS (2006), University of Michigan Affiliations: Mechanics, Biomimetics, and 3D Printing Research Lab; American Physical Society (APS), Society of Naval Architects and Marine Engineers (SNAME) Her research explores bio-inspired materials, energy absorption mechanisms, and advanced manufacturing techniques. Key projects include developing auxetic metamaterials and bio-inspired sutural designs. Grants & Awards: NSF CAREER Award (2016), AFOSR SFFP Fellowship (2013), IUTAM Travel Award Recent Recognition: 2023/2024 Stanford Top 2% Cited Scientists Advises a diverse group of students and postdocs, including current PhD candidates Lin Gu and Yunzheng Yang. Her lab focuses on experimental and computational studies of novel materials, with applications in engineering and biomedicine. Labs/Teams: Mechanics, Biomimetics, and 3D Printing Research Lab Patents: 3D auxetic composite structures, bio-inspired metamaterials

• Bioengineering
• Biomaterials
• Tissue Engineering
• +۱۰ مورد دیگر

Devid Maniglio is an Associate Professor at the Department of Industrial Engineering, University of Trento. His research focuses on bioengineering, biomaterials, and tissue engineering, with a particular emphasis on bioprinting, surface modification, and functional materials. He has contributed to advancements in silk fibroin and hydrogel-based systems for medical applications. Research Interests Bioengineering for personalized medicine Biomaterials and surface engineering 3D bioprinting and tissue regeneration Molecular imprinting and biosensors Drug delivery and cell encapsulation Teaching Diagnostic and therapeutic technologies for personalized medicine Engineered materials for precision medicine Fundamentals of biomedical technologies Functional surfaces laboratory Labs & Collaborations Devid Maniglio is affiliated with the Functional Surfaces Laboratory at the University of Trento, collaborating with researchers such as Stefano Rossi and Flavio Deflorian. His work integrates interdisciplinary approaches in biomedical engineering and sustainable medical technologies.

Jennifer A. Lewisمشاهده پروفایل

استاد

• 3D Printing
• Bioprinting
• Soft Robotics
• +۷ مورد دیگر

Jennifer A. Lewis is the Hansjörg Wyss Professor of Biologically Inspired Engineering at Harvard University's John A. Paulson School of Engineering and Applied Sciences. She is also a Core Faculty member at the Wyss Institute for Biologically Inspired Engineering. Her research focuses on programmable assembly of soft functional, structural, and biological materials, with applications in 3D printing, bioprinting, soft robotics, and metamaterials. She holds a Sc.D. in Ceramic Science from MIT and has pioneered breakthroughs like biomimetic 4D printing and vascularized organ-on-chip technologies. Her work has been recognized by MIT Technology Review and Discover Magazine . Awards: Member of the National Academy of Engineering, NSF Presidential Faculty Fellow, and multiple society fellowships. Publications: Over 150 papers and 30 patents, with articles in Advanced Materials , Nature Materials , and Science Advances . Industry: Co-founder of two companies commercializing lab technologies, including Reel Foods for cultivated fish fillets. Her interdisciplinary team integrates soft matter, microfluidics, and additive manufacturing. Active in Wyss Institute focus areas: Adaptive Materials, Bioinspired Robotics, and Programmable Nanomaterials.

Audrey Fuمشاهده پروفایل

دانشیار

• Statistical methods for genomics
• Machine learning algorithms
• Causal network inference
• +۷ مورد دیگر

Audrey Fu is an Associate Professor of Family Medicine and Public Health Sciences and of Molecular Medicine and Genetics at Wayne State University School of Medicine, located at Scott Hall, 540 E. Canfield Street, Detroit, MI 48201. Her interdisciplinary work bridges computational methods with biomedical applications, particularly in genomics and medical imaging fields. Her educational background includes a PhD from the University of Washington (2008), followed by postdoctoral training at the University of Chicago (2008-2014) and a Visiting Postdoctoral Scholar position at Stanford University (2014-2015). This strong foundation in statistics and computational biology has enabled her to develop innovative approaches to complex biomedical data analysis. Dr. Fu specializes in developing statistical methods and algorithms for analyzing high-dimensional biomedical data, with particular expertise in causal network inference using Mendelian randomization, deep learning for single-cell RNA-sequencing data, and methods for identifying disease-relevant cell types through integration of genomic data. Her research group actively practices open science, distributing open-source software packages in R and Python through GitHub and CRAN. Her publication record reveals a clear progression from fundamental statistical methodology development toward increasingly translational biomedical applications. While her earlier work focused on DNA methylation patterns, statistical inference of gene expression noise, and Bayesian clustering methods, her recent publications demonstrate expansion into medical imaging analysis, particularly in space medicine applications and neurological conditions like Chiari malformation. This evolution shows her ability to adapt statistical frameworks to address diverse biomedical challenges. NIH Pathway to Independence Award (K99/R00; 2014-2019) International Society for Bayesian Analysis Travel Award (2010) Dorothy and Leon Gilford Fellowship, Department of Statistics, University of Washington (2003) Dr. Fu is currently accepting new M.S. students for 2025-2026 but not new Ph.D. students. Her NIH K99/R00 award indicates successful transition from postdoctoral research to independent investigator status. Her lab develops multiple open-source software packages including MethylHMM, MRPC, LATE, and rolypoly, reflecting her commitment to making computational tools accessible to the broader research community. Her collaborative work spans multiple institutions and disciplines, from basic molecular biology to clinical applications in ophthalmology and neurosurgery.

Orestis L. Katsamenisمشاهده پروفایل

مدرس

• 3D X-ray Histology
• Microfocus Computed Tomography
• Biomedical Imaging
• +۶ مورد دیگر

Dr Orestis L. Katsamenis is a Lecturer in Biomedical Imaging at the University of Southampton , affiliated with the Faculty of Engineering and Physical Sciences (FEPS) and the Faculty of Medicine (FoM) . He leads the 3D X-ray Histology and Biomedical Imaging Theme at the μ-VIS X-ray Imaging Centre and holds a visiting position at the University Hospital Southampton NHS Foundation Trust in the Biomedical Imaging Unit of Cellular Pathology and Child Health. Education: BSc in Materials Science (University of Patras, 2007), MSc in Materials Science (University of Patras, 2009), PhD in Bioengineering (University of Southampton, 2012). His research focuses on 3D X-ray Histology (XRH) and Microfocus Computed Tomography (μCT) applied to biological and clinical imaging , pharmaceutical technology , and bone nanostructure . He has pioneered μCT protocols for clinical histology and developed advanced 3D imaging tools for applications in drug delivery , tissue engineering , and evolutionary biology . His work spans multidisciplinary collaborations with engineers, medical professionals, and paleontologists. Recent publications highlight his contributions to 3D imaging of bone , microneedle design , 4D-printed polypills , and paleontological studies . He has received awards including the EPSRC Doctoral Prize Award (2012) and multiple scientific presentation honors (2018) . Dr Katsamenis supervises PhD student Ayesha Mohiud Din and collaborates with research groups like the Engineering Materials and Surface Engineering Group and the Institute for Life Sciences . His Google Scholar profile lists over 20 recent articles, showing his prolific and diverse research output.

Cole A. DeForestمشاهده پروفایل

دانشیار

• Biomaterials
• Tissue Engineering
• Stem Cell Biology
• +۷ مورد دیگر

Cole A. DeForest is a Weyerhaeuser Endowed Professor and Associate Professor in the Department of Chemical Engineering at the University of Washington, where he also serves as Associate Chair for Graduate Studies. Additionally, he holds appointments as Associate Professor in Bioengineering and Adjunct Associate Professor in Chemistry, and is the Director of Education at the Molecular Engineering & Sciences Institute and a Core Faculty member at the Institute for Stem Cell & Regenerative Medicine. Dr. DeForest earned his Ph.D. in Chemical and Biological Engineering from the University of Colorado, Boulder in 2011 and completed postdoctoral training at Caltech before joining the UW faculty in 2014. His research focuses on developing user-programmable hydrogels with tunable biochemical and biophysical properties, utilizing cytocompatible bioorthogonal chemistries, particularly those initiated with light. His work spans several key areas including User-Programmable Biomaterials for Directing Dynamic Stem Cell Fate, Biomolecular and Tissue Engineering, Controlled Delivery of Therapeutics to Treat Disease, and Tool Development for Enhanced Proteomic Studies. His publication record demonstrates consistent high-impact contributions to biomaterials science, with numerous papers in Nature family journals, JACS, and Advanced Materials. His research approach integrates principles of rational design with fundamental concepts from material science, synthetic chemistry, and stem cell biology to create next-generation materials addressing health-related problems. UW College of Engineering Junior Faculty Award (2020) Society for Biomaterials Young Investigator Award (2020) Society for Biomaterials Mid-Career Award (2025) NSF CAREER Award (2017) UW Presidential Distinguished Teaching Award (2016) 35 Under 35 Award, AIChE Bioengineering Category (2017) Dr. DeForest has mentored numerous graduate students, postdocs, and undergraduates, many of whom have received prestigious fellowships including NSF GRFP, NIH F30, and HHMI Gilliam Fellowships. His lab has secured significant funding including collaborative grants from the Institute for Translational Health Sciences, the Institute for Stem Cells & Regenerative Medicine, and the Allen Institute for Brain Science. His educational leadership extends to directing the MolES Education program and teaching courses including Biological Frameworks for Engineers and Biomaterials Seminar.

Bashir Kazimiمشاهده پروفایل

پژوهشگر

• Deep Learning
• Computer Vision
• Materials Science
• +۳ مورد دیگر

Dr.-Ing. Bashir Kazimi is a group leader at the Materials Data Science and Informatics (IAS-9) department within the Institute for Advanced Simulation at Forschungszentrum Jülich. His work focuses on advancing deep learning and computer vision techniques for electron microscopy data analysis, enabling efficient material characterization. Expertise: Deep Learning, Computer Vision, Image Analysis Collaboration: Works closely with the Ernst-Ruska-Center (ER-C) for electron microscopy expertise Research Interests: Bashir develops and applies deep learning methods for tasks such as denoising, super-resolution, semantic segmentation, and tracking in electron microscopy. His applications span nanomaterial characterization, crystallographic defect identification, and orientation mapping. Scientific Trends: His recent publications highlight advancements in self-supervised learning, semantic segmentation of TEM images, and applications of deep learning to both materials science and archaeological monument detection in geospatial data. Scientific Achievement: Admitted to the Young Excellent Scientist Program (YESP) in 2024, supporting leadership development and scientific visibility Advising: Supervises Shrindhi Bhat , a PhD student in his group. He is involved in projects like FAST-EMI (Deep-learning assisted fast in situ 4D electron microscope imaging), with a focus on enhancing materials analysis through AI.

Francisco Santibanezمشاهده پروفایل

عضو هیئت علمی

• Biomedical Imaging
• Experimental Physics
• Instrumentation
• +۵ مورد دیگر

Francisco Santibanez is a Research Assistant Professor in the Department of Biomedical Engineering at the University of North Carolina. He holds a Ph.D. in Physics from Universidad de Santiago de Chile (2010). His research focuses on experimental physics, biomedical imaging, and non-linear wave propagation in complex media. Since joining the Pinton Lab in 2018, he has investigated ultrasound super-resolution, functional imaging, and shear wave dynamics in soft tissues. His work spans advanced ultrasound techniques, including transcranial imaging, volumetric imaging, and real-time monitoring of neurovascular responses. Key projects include developing sparse ultrasound arrays and addressing image-degrading effects in clinical settings. His contributions extend to interdisciplinary areas like granular dynamics and acoustic sensing for pest control. Notable research trends include advancing super-resolution imaging capabilities and exploring shock wave behavior in biological tissues. His publications reflect expertise in medical imaging modalities, wave propagation modeling, and hardware innovations for diagnostic applications. Labs/Teams: Active member of the Pinton Lab, collaborating on biomedical engineering and medical imaging projects. His work emphasizes translational research with potential for clinical impact in neuroimaging and oncology monitoring.

Petter Dyverfeldtمشاهده پروفایل

استاد

• Cardiovascular Disease
• Medical Imaging
• Blood Flow Dynamics
• +۳ مورد دیگر

Petter Dyverfeldt is a Professor and Head of Unit at Linköping University's Department of Health, Medicine and Caring Sciences (HMV), within the Faculty of Medicine and Health Sciences (MEDFAK). His research focuses on cardiovascular imaging and modeling, particularly exploring abnormal blood flow dynamics and their interplay with cardiovascular diseases using advanced MRI techniques like 4D flow cardiovascular magnetic resonance (CMR). Education: He holds a PhD in Biomedical Engineering/Applied Thermodynamics and Fluid Mechanics from Linköping University (2010), an MSc in Applied Physics and Electrical Engineering (2005), and has held academic positions including Senior Associate Professor (2022–2023), Associate Professor (2015–2022), and Lecturer (2012–2015). He was a postdoc at the University of California, San Francisco (2010–2012) and a guest researcher at the University of Washington (2014). Research Interests: His work aims to quantify blood flow, wall shear stress, and vessel wall status using MRI to advance understanding of cardiovascular pathophysiology. Key areas include aortic dilation, atherosclerosis, and the effects of hemodynamic stresses on vessel walls. His interdisciplinary approach integrates imaging with computational models for novel diagnostic and treatment insights. Publications Trends: Recent articles (2023–2025) emphasize 4D flow MRI applications in aortic diseases, turbulence analysis, biomarker correlations, and clinical follow-up studies. His work highlights the role of hemodynamics in disease progression, such as abnormal wall shear stress in aortic dilation and the predictive value of MRI-derived metrics. Grants and Collaboration: He has secured significant grants, including a SEK 30 million award from the Swedish Heart Lung Foundation (2025) for cardiovascular research. Collaborations include SciLifeLab Linköping and the Cardiovascular Imaging and Modeling (CIM) group, focusing on translational research and advanced imaging technologies. Labs/Teams: He leads the CIM research cluster, which develops imaging methods to assess cardiovascular function, hemodynamics, and tissue characteristics. His unit also belongs to the Division of Diagnostics and Specialist Medicine (DISP), emphasizing clinical translation of research.

• In Vitro Disease Modeling
• Kidney Injury and Failure Research
• Pharmacology
• +۵ مورد دیگر

Dr. Silvia Mihaila is an Assistant Professor of in vitro models of disease at the Department of Pharmacology, Faculty of Science, Utrecht University. She joined Utrecht University in March 2021 after previously working at UMC Utrecht on bioartificial kidney development. Her academic journey includes a PhD from the University of Minho (Portugal) under the MIT-Portugal Program and a Marie Curie postdoctoral fellowship at Radboud UMC. Dr. Mihaila's educational background includes: Bachelor's degree in Chemistry and Physics from Romania PhD in Tissue Engineering strategies for bone vascularization from University of Minho (2015) Her research focuses on developing humanized in vitro models to replicate pathological complications associated with kidney injury and failure. Dr. Mihaila's work spans multiple interdisciplinary fields including tissue engineering, biomaterials science, pharmacology, and nephrology. She employs organ-on-chip technology and advanced biomaterials to create sophisticated models of kidney function and disease. Her research aims to unravel disease mechanisms and identify potential therapeutic targets, with particular emphasis on uremic toxins, drug-induced toxicity, and the gut-kidney axis. Analysis of Dr. Mihaila's recent publications reveals a strong trend toward increasingly sophisticated kidney models, with growing emphasis on personalized approaches that consider sex-specific differences and incorporate microbiome interactions. Her work bridges fundamental tissue engineering with clinically relevant applications in kidney disease modeling and drug testing. Scientific recognition: Marie Curie Postdoctoral Fellowship Dr. Mihaila has been actively involved in collaborative research with interdisciplinary teams. Her work has attracted significant attention in the scientific community, with several publications garnering high citation counts. She has contributed to important advances in bioengineered kidney models and uremic toxin research, with implications for improving dialysis technologies and understanding kidney disease mechanisms. Her laboratory focuses on developing advanced in vitro platforms that incorporate multiple physiological elements, including vascular networks, tubular structures, and microbiome interactions. Current projects appear to be advancing toward more complex, multi-organ systems that better replicate human physiology for drug testing and disease modeling applications.

• Additive Manufacturing
• Integrated Electronics
• Microfluidics
• +۶ مورد دیگر

Valentina Bertana is a Fixed-term Assistant Professor at the Department of Applied Science and Technology (DISAT) at Politecnico di Torino. She teaches across multiple colleges, including the College of Chemical and Materials Engineering and the College of Electronic, Telecommunications, and Physics Engineering, focusing on advanced manufacturing, aerospace engineering, and physical engineering courses. Her research interests span additive manufacturing, integrated electronics, lab-on-a-chip devices, microfluidics, and nanotechnology. Her work addresses sustainable materials for electric vehicles, biomedical applications, and aerospace-compliant electronics. She leads projects like PISTA, CubEArm, and Powerpack, funded by competitive calls and commercial contracts under the PNRR initiative. Valentina supervises PhD students Giulio Galfre' and Miriam Polano, whose research focuses on microfluidic chips, SiP interfaces, and innovative packaging processes. She is an inventor on patents related to gas-permeable membranes and LIG electrode manufacturing.

Srinivasa G. Narasimhanمشاهده پروفایل

استاد

• Computer Vision
• Computer Graphics
• Computational Imaging
• +۵ مورد دیگر

Srinivasa G. Narasimhan is the U.A. and Helen Whitaker Professor of Robotics at Carnegie Mellon University's Robotics Institute within the School of Computer Science. He directs the Illumination and Imaging Laboratory (ILIM) and leads the Computational Imaging group, focusing on the physics of computer vision and graphics. His research develops novel imaging technologies for applications in robotics, transportation, medical imaging, and environmental sensing. Research interests span computational imaging, light transport modeling, and active perception systems. Key areas include: Physics-based vision for atmospheric and material interactions Novel camera designs and programmable lighting systems Robust perception for autonomous vehicles and medical diagnostics Non-line-of-sight imaging and computational scatterography Publications demonstrate strong emphasis on 3D reconstruction, computational optics, and vision systems for intelligent transportation. Recent works leverage self-supervised learning for dynamic scene understanding and develop novel sensors for medical and automotive applications. Awards and honors include: Best Paper awards at CVPR (2019, 2022), IV (2021), and ICCP (2020) Marr Prize Honorable Mention (ICCV 2013) Multiple demo awards at CVPR/ICCP Current advising includes 5 PhD students and 1 master's student. Major grants include NSF EXPEDITIONS (Computational Photo-Scatterography), DARPA REVEAL, and industry support from Ford, GM, Adobe, and Zillow. Manages multiple labs developing technologies like adaptive headlights, thermal imaging systems, and MHz-rate light steering devices.

Giovanni Dalmassoمشاهده پروفایل

دانشیار

• Computational Biology
• Developmental Biology
• Biomedical Image Analysis
• +۴ مورد دیگر

Giovanni Dalmasso is an Associate Professor in the Department of Mathematics and Data Analytics at the IQS School of Engineering, Ramon Llull University. His research focuses on computational modeling of biological systems, including morphogenesis, cellular homeostasis, and biomedical image analysis. He specializes in developing tools for 3D/4D visualization of developmental processes and agent-based models of cellular dynamics. Key research areas include: 3D/4D reconstruction of embryonic development (e.g., limb bud morphogenesis) Biological shape correspondence algorithms (μMatch) Systems biology approaches to mitochondrial function and stress responses Mathematical modeling of calcium signaling dynamics His work contributes to UN Sustainable Development Goals related to innovation and infrastructure through advances in bioimaging and computational tools. Collaborations span institutions globally, including projects with the University of Edinburgh and University Pompeu Fabra. He has developed open-source software like LimbLab and veda for scientific visualization. Research outputs emphasize interdisciplinary methods combining engineering, mathematics, and biology to address fundamental questions in developmental biology and cellular systems. Current efforts focus on integrating moral decision frameworks into AI agents through contractualist models.

• Computational Biology
• Systems Biology
• Mathematical Modeling
• +۳ مورد دیگر

Dagmar Iber is an Associate Professor at the Department of Biosystems Science and Engineering at ETH Zurich. She specializes in combining mathematical modeling and experimental approaches to study fundamental developmental mechanisms. Develops conceptual theoretical models and data-driven mechanistic 4D in silico models Focuses on computational infrastructure for imaging data processing and tissue simulations Affiliated with the Swiss Institute for Bioinformatics since 2009 Research Focus: Her work bridges computational biology, systems biology, and mathematical modeling to understand developmental processes in biological systems. Scientific Awards: 2014 Research Prize - Swiss Society of Reproductive Medicine 2011 Golden Owl for Excellence in Teaching - ETH Zurich 2007 Honorary Lectureship - Imperial College London Prestigious scholarships including DAAD Fellow, EPSRC Scholarship, and MRC-LMB funding