جست‌وجوی استاد و پژوهشگر

Juan Valle Delgadoمشاهده پروفایل

مدرس

• Nanotechnology
• Biomaterials
• Surface Chemistry
• +۷ مورد دیگر

Juan Valle Delgado is a Lecturer in the Department of Bioproducts and Biosystems at Aalto University, where he focuses on nanotechnology, biomaterials, and interfacial science. His research explores sustainable materials derived from biopolymers like cellulose and lignin, with applications in biomedicine, green chemistry, and advanced composites. Research Interests: Dr. Delgado's work spans atomic force microscopy, nanocellulose functionalization, colloidal systems, and surface chemistry. Key themes include: Design of lignin nanoparticles for drug delivery and 3D bioprinting Cellulose nanofibril hydrogels for biomedical applications Interfacial interactions in bio-based composites Surface modification techniques for sustainable materials His recent publications (2019–2023) demonstrate a strong emphasis on biomaterial interfaces , with recurring studies on cellulose-lignin systems, nanoparticle synthesis, and cell-biomaterial interactions. Collaborative projects frequently involve tissue engineering, cancer research, and green nanotechnology. Dr. Delgado collaborates extensively with the Bioproduct Chemistry research group, focusing on interdisciplinary approaches to develop functional materials from renewable resources.

René Vidalمشاهده پروفایل

استاد

• Machine Learning
• Computer Vision
• Biomedical Data Science
• +۳ مورد دیگر

René Vidal is the Rachleff & Penn Integrates Knowledge (PIK) University Professor at the University of Pennsylvania, with appointments in the Departments of Electrical and Systems Engineering, Radiology, Computer and Information Science, and Statistics and Data Science. He also serves as Director of the Center for Innovation in Data Engineering and Science (IDEAS) and the NSF-Simons Collaboration on the Mathematical Foundations of Deep Learning (THEORINET). A dual faculty member at Johns Hopkins University in Biomedical Engineering, Computer Science, and other departments, Vidal is an Amazon Scholar and Affiliated Chief Scientist at NORCE. PhD, Electrical Engineering and Computer Sciences, University of California, Berkeley (2003) M.S., Electrical Engineering, University of California, Berkeley (2000) B.S. (valedictorian), Electrical Engineering, Pontificia Universidad Catolica de Chile (1997) His research spans the mathematical foundations of deep learning, focusing on non-convex optimization , learning dynamics , and overparametrization . Key contributions include Sparse Subspace Clustering , Kernel GPCA , and Low-Rank Matrix Factorization , with applications in autism diagnosis , robotic surgery , and cardiac imaging . Recent work explores continual learning , adversarial robustness , and trustworthy AI in biomedical contexts. His 15 most recent publications highlight advances in medical imaging , language models , and robust computer vision , spanning topics from chest X-ray analysis to motor imitation tasks in autism . Articles like Geometric Analysis of Nonlinear Manifold Clustering underscore his theoretical contributions, while works on KDA: Knowledge-Distilled Attacker and Conformal Information Pursuit address practical AI safety and interpretability. Scientific accolades include: 2022 ACM Fellow 2021 IEEE McCluskey Technical Achievement Award 2017 Jean D’Alembert Fellowship 2012 J.K. Aggarwal Prize 2009 Sloan Research Fellow 2005 NSF CAREER Award His lab mentors 11 current PhD students across Johns Hopkins and University of Pennsylvania , with alumni contributing to institutions like Meta , Amazon , and GE Research . Vidal’s interdisciplinary work bridges mathematics , engineering , and healthcare , supported by grants from the DoD , NSF , and ONR .

• Microplastics
• Catalysis
• Spectroscopy
• +۵ مورد دیگر

Dr. Laurens Mandemaker is an Assistant Professor at Utrecht University's Faculty of Veterinary Medicine, Department of Population Health Sciences, and affiliated with the Institute for Risk Assessment Sciences (IRAS). His research focuses on microplastics, nanotechnology, and catalysis, utilizing advanced techniques like atomic force microscopy and spectroscopy . Key Projects: MOMENTUM (Microplastics & Human Health), AURORA (Early-Life Health Impacts), NWO-XS (Nanoplastics in Babies), SPARK (Dialysis-Related Plastic Detection) His work bridges environmental toxicology and materials science , with recent publications on nanoplastic detection, bioplastic films, and MOF-based catalysts. He contributes to courses like Chemistry and Sustainability and collaborates on interdisciplinary exposomics studies.

• Developmental Biology
• Evolutionary Biology
• Gene Expression Regulation
• +۳ مورد دیگر

Claudia Mieko Mizutani is an Associate Professor in the Department of Biology at Case Western Reserve University. Her research focuses on understanding how gene expression patterns evolve to produce diverse tissues and life forms, using Drosophila melanogaster as a model organism. She combines genetic engineering, imaging, and computational modeling to investigate embryonic dorsal-ventral axis patterning and its evolutionary modifications. Research Interests: Investigating gene network evolution in conserved developmental systems Analyzing BMP signaling mechanisms in neuroectoderm patterning Comparing dorsal-ventral axis development across Drosophila species Quantifying transcriptional response dynamics Studying developmental time variation and scaling Exploring hybrid infertility through Evo-Devo perspectives Her laboratory has produced significant publications in fields spanning developmental biology, evolutionary genetics, and computational modeling. Notable contributions include work on morphogen gradient formation and the interaction between embryo morphology and signaling pathways. Scientific Awards: Selected cover feature for 2011 Developmental Biology publication Faculty of 1000 'Must Read' recommendation for 2006 PLoS Biology paper Dr. Mizutani's research integrates experimental and computational approaches to uncover fundamental mechanisms of developmental evolution while maintaining core functionality in biological systems.

Erika Tsingosمشاهده پروفایل

استادیار

• Computational Biology
• Animal Developmental Biology
• Multiscale Modeling
• +۴ مورد دیگر

Dr. Erika Tsingos serves as an Assistant Professor in the Department of Theoretical Biology and Bioinformatics at Utrecht University's Faculty of Science. She leads the Computational Animal Development Group focusing on computational approaches to developmental biology questions. Her research spans animal developmental biology with emphasis on Computer modeling of cell fate decisions Pattern formation in tissues Cell migration mechanics Thymus development and leukemogenesis C. elegans developmental precision She employs diverse modeling approaches including ordinary differential equations and multiscale cell-based models using cellular Potts or center-based formalisms. Analysis of her 15 most recent publications reveals strong focus on computational modeling of developmental processes, particularly examining extracellular matrix effects on cell migration, thymic niche architecture in leukemia development, and precise cell fate specification in C. elegans. Her work consistently bridges computational modeling with experimental validation through collaborations. Scientific recognition includes: NWO grant VI.Veni.222.323 for research on extracellular matrix effects on cell migration Dr. Tsingos actively mentors the next generation of computational biologists through supervision of postdoctoral researchers and students. Current team members include Benjamin Planterose Jiménez (post-doc modeling C. elegans development), Saber Shakibi (post-doc developing hybrid migration models), and Nikki Landzaat (Master's student studying mesoderm cell state transitions). Former students include Bidayatul Masulah (Master's in Applied Mathematics) and Heleen van Osch (bachelor researcher). Her research group operates within Utrecht University's Department of Theoretical Biology and Bioinformatics, collaborating extensively with the Ten Tusscher group and experimental labs. Current projects investigate how extracellular matrix affects cell migration phenotypes in cancer and the molecular control mechanisms behind C. elegans' precise cell division patterns.

Björn Möllerمشاهده پروفایل

پژوهشگر

• Machine Learning
• Computer Vision
• Signal Processing
• +۳ مورد دیگر

Björn Möller, a researcher at the Department of Signal Processing and Machine Learning within the Faculty of Electrical Engineering, Information Technology, and Physics at Technical University of Braunschweig, specializes in machine learning and computer vision applications. His academic journey includes a diploma in Business Information Systems from TU Dresden (2012–2019), with a focus on Business Intelligence. Research Interests His work bridges deep learning with practical applications in two distinct domains: Advancing microscopy techniques through low-resolution data-driven super-resolution models Optimizing viticulture operations via object detection and yield prognosis systems His publications demonstrate expertise in algorithm development for both scientific imaging and agricultural technology. Publication Trends Research spans atomic-scale imaging (2024, 2023) and agricultural AI (2019, 2021). Notably, he explores how transformer architectures and super-resolution methods can solve domain-specific challenges in microscopy and vineyard management. Contact Information Email: bjoern.moeller@tu-braunschweig.de Location: Schleinitzstraße 22 (Room 302), Braunschweig Phone: +49 (0) 531 391 - 2446

Satu-Pia Reinikainenمشاهده پروفایل

استاد

• Multivariate Statistical Analysis
• Process Control
• Spectroscopy
• +۳ مورد دیگر

Satu-Pia Reinikainen is a tenured Professor in Computational Engineering at the Lappeenranta-Lahti University of Technology (LUT) School of Engineering Sciences . With expertise in chemometrics and multivariate analysis, her work bridges statistical modeling, spectroscopy, and environmental monitoring. Research Focus Development of advanced kernel-based methods for process control Application of hyperspectral imaging in material and environmental analysis Microplastic pollution dynamics in aquatic systems Integration of spectroscopic techniques for real-time monitoring Conservation of geological and heritage materials through data-driven approaches Her research combines chemometric algorithms, environmental data analysis, and industrial process monitoring to solve complex analytical challenges.

Heayoung Yoonمشاهده پروفایل

دانشیار

• Advanced fabrication and nanoscale characterization
• Optoelectronic materials and devices
• Engineering micro/nanostructures of semiconductor materials
• +۱۲ مورد دیگر

Heayoung Yoon serves as an Associate Professor in the Electrical & Computer Engineering department and Adjunct Associate Professor in Materials Science & Engineering at the University of Utah's College of Engineering. Her research focuses on advanced fabrication and nanoscale characterization of optoelectronic materials and devices, with particular expertise in engineering micro/nanostructures of semiconductor materials to enhance functionality and stability in optoelectronic devices including translucent solar cells and radiation-hard systems. Dr. Yoon earned her BS in Physics with a Computer Science minor from Chungnam National University in South Korea, an MS in Physics from Pohang University of Science and Technology, and a PhD in Electrical Engineering from The Pennsylvania State University. Her academic journey includes positions at Samsung, Penn State University, and NIST where she conducted research on molecular junction devices, pillar array solar cells, and near-field optoelectronic imaging techniques. Her research interests span multiple cutting-edge areas in energy technology and materials science. Dr. Yoon leads investigations into radial junction solar cells that decouple light absorption from carrier collection, thin-film solar cells with enhanced efficiency through microstructural optimization, translucent solar cells for diverse applications like skylights and self-powered facades, multi-probe microscopy techniques for nanoscale characterization, and molecular junction devices for advanced optoelectronics. Her work bridges fundamental research with practical applications to address global sustainability challenges. Analysis of Dr. Yoon's 15 most recent publications reveals a strong focus on solar cell technology and nanoscale characterization. Her research consistently explores patterned back contacts, micro/nanostructured solar cells, and perovskite materials, with particular attention to grain boundaries, surface potential variations, and carrier dynamics at the nanoscale. The publications demonstrate interdisciplinary approaches combining electron microscopy, optical spectroscopy, and device engineering to advance photovoltaic technologies. Outstanding Teaching Award (2024, ECE Department) Chair's Award (2022, ECE Department) CAREER Award (2021, National Science Foundation) Dr. Yoon actively mentors students through thesis research and undergraduate research projects, and leads the Yoon Research Group which develops in-situ, local measurement techniques using electron beams and focused light sources. Her lab focuses on elucidating structure-property relationships in micro/nanomaterials and devices, with applications in energy, optoelectronics, and chemical and biomedical fields. The group leverages cross-disciplinary collaborations to advance energy technologies, particularly in creating exploratory optoelectronic systems that address emerging global challenges in sustainability.

Rory Cooperمشاهده پروفایل

پژوهشگر ارشد

• Evolutionary Developmental Biology
• Biological Pattern Formation
• Developmental Biology
• +۷ مورد دیگر

Dr. Rory Cooper is an Independent Research Fellow in the School of Biosciences at the University of Sheffield. His work bridges evolutionary developmental biology and biophysics , focusing on skin appendage morphogenesis across diverse vertebrates including sharks, chickens, and crocodiles. Formerly a 5-year postdoc in the LANE lab at University of Geneva, he earned his PhD at Sheffield under Dr. Gareth Fraser and Dr. Nicola Nadeau. Current position: Research Fellow (Sheffield) Alumni: Geneva postdoc (2020-2025), Sheffield PhD Expertise: EvoDevo, mechanochemical patterning, volumetric imaging His research investigates how molecular signals and mechanical forces interact to shape complex patterns in embryonic development. Key findings include: Discovery of compressive forces in crocodile scale sculpting Experimental induction of mechanical skin folding in chickens Identification of dual chemical/mechanical patterning in tortoise headscales Recent publications highlight mechanical forces as fundamental to pattern robustness across species. His 2024 Nature paper demonstrated physical sculpting of crocodile cranial scales, followed by 2025 Open Biology and Cell Reports iScience studies on avian/tortoise systems. Scientific recognitions include: Independent Research Fellowship Three major journal cover features (Nature, Open Biology, PLOS Biology) As a PhD advisor for Alex Liu at UC San Diego, he continues fostering next-generation EvoDevo researchers. Current work explores cross-species mechanosensitive development using advanced imaging and multiscale modeling.

Rumiana Dimovaمشاهده پروفایل

استاد

• Biomembranes
• Lipid Bilayers
• Giant Vesicles
• +۷ مورد دیگر

Dr. Rumiana Dimova is a Professor and Group Leader at the Max Planck Institute of Colloids and Interfaces in Potsdam, Germany. She leads the Biophysics Lab focused on Sustainable and Bio-inspired Materials, with particular emphasis on biomembranes and giant vesicles as model systems. She also holds a Privatdozent position in Biophysics at Potsdam University since 2014 and completed her Habilitation there in 2012. Dr. Dimova has been a Group Leader at the Max Planck Institute since 2000 and a Staff Scientist since 2005. Her research focuses on using giant lipid vesicles as a biomimetic tool to directly observe membrane behavior at cell-size scales. Her work explores membrane properties, membrane wetting, budding and tubulation, vesicles in electric fields, and ATPS vesicles. She has made significant contributions to understanding how biomolecular condensates interact with membranes, membrane remodeling, and the effects of various conditions on membrane mechanics. Her recent publications (2023-2025) show a strong focus on biomolecular condensates and their interactions with membranes, membrane asymmetry, photoswitchable lipids, and the electromechanical properties of biomimetic membranes. These works span biophysics, soft matter physics, membrane biology, and biomimetic materials science, with particular attention to membrane wetting phenomena, curvature generation, and phase separation effects. Dr. Dimova has received several prestigious awards for her work: Thomas E. Thompson award of the Biophysical Society (2023) for excellent work on membrane rigidity and tension, membrane curvature and membranes in electric fields Liesegang Prize of the German Colloid Society (2021) for work on lipid bilayers and biomembranes Emmy Noether distinction for women in physics from the European Physical Society (2014) Dr. Dimova has organized several conferences including Biomembrane Days in Berlin (2019, 2016, 2014), served as Chair of the Membrane Structure and Assembly Subgroup of the Biophysical Society (2017), and has given numerous invited talks worldwide. Her lab maintains extensive international collaborations across Germany, France, USA, Spain, Bulgaria, China, Argentina, Israel, and Austria, reflecting the interdisciplinary nature of her research.

Al-Hafeez Z Dhallaمشاهده پروفایل

استادیار

• Biomedical Optics
• Optical Coherence Tomography
• Scanning Laser Ophthalmoscopy
• +۶ مورد دیگر

Al-Hafeez Z Dhalla serves as an Assistant Research Professor in the Department of Biomedical Engineering at Duke University and is a Faculty Network Member of the Duke Institute for Brain Sciences. His academic appointment reflects his engineering expertise in translating optical technologies to clinical ophthalmology applications. He earned his Ph.D. from Duke University in 2012, establishing a foundation for his specialized work in biomedical optics. This educational trajectory directly informs his current research and teaching activities within the university's engineering framework. Dr. Dhalla's research program centers on developing optical coherence tomography (OCT), scanning laser ophthalmoscopy (SLO), and LiDAR systems for non-invasive, high-resolution biological tissue imaging. His laboratory specifically targets ophthalmic disease diagnosis and treatment, with strong emphasis on engineering novel instrumentation for image-guided surgery and robotic microsurgery. A critical aspect of his work involves preparing these technologies for commercialization through rigorous clinical validation and regulatory approval processes, bridging the gap between engineering innovation and medical practice. His publication portfolio demonstrates consistent advancement in optical imaging technologies, particularly handheld OCT devices, real-time volumetric surgical imaging, and adaptive optics for photoreceptor visualization. The research exhibits a clear trajectory from fundamental optical engineering toward clinical implementation, with recurring themes of enhancing surgical precision through robotic integration and improving diagnostic capabilities via novel scanning methodologies. Within the educational sphere, Dr. Dhalla teaches multiple courses including BME 791 (Graduate Independent Study), BME 590 (Special Topics), BME 494/493 (Projects in Biomedical Engineering), and BME 436L (Biophotonic Instrumentation), directly connecting his research expertise to student training in optical instrumentation and biomedical device development.

Aditya Bhanمشاهده پروفایل

استاد

• Catalysis
• Reaction Engineering
• Energy Conversion
• +۵ مورد دیگر

Aditya Bhan serves as a Distinguished McKnight University Professor in the Department of Chemical Engineering and Materials Science at the University of Minnesota's College of Science and Engineering, leading a research group focused on catalytic conversion technologies for biomass and natural gas feedstocks. His work integrates molecular-level catalytic chemistry with materials synthesis to develop sustainable energy solutions and mitigate environmental impacts from fuel and chemical production. Research spans heterogeneous catalysis for CO 2 hydrogenation, ethylene epoxidation, plasma-catalyzed NO x abatement, and dehalogenation processes. The group employs isotopic tracer studies, transient kinetics, and steady-state measurements complemented by XRD, electron microscopy, and spectroscopy, with computational validation through DFT. Current projects address catalytic acrylate production, plasma-assisted waste stream treatment, and metal carbide catalyst development for carbon-neutral reactions. Professor Bhan has received significant recognition: Distinguished McKnight University Professor (2023) Paul H. Emmett Award in Fundamental Catalysis (2022) He mentors 11 active PhD candidates while having guided 4 recent doctoral graduates to industry and academic positions, with research funded by the National Science Foundation, U.S. Department of Energy, and University of Minnesota's Initiative for Renewable Energy. The group operates advanced facilities for catalytic testing and plasma reactor systems, collaborating with computational experts on the Rule Input Network Generator (RING) software for reaction network analysis. The research team maintains active participation in North American Catalysis Society meetings and International Precious Metals Institute conferences, with regular group development activities including annual picnics, conference travel, and collaborative dinners documented through 2025.

• Nanotechnology
• Computational Chemistry
• Surface Chemistry
• +۳ مورد دیگر

Nian Wu is a Postdoctoral Researcher at the Department of Applied Physics, Aalto University. Their work bridges computational chemistry and nanoscale surface science. Research Focus: Surfaces and Interfaces at the Nanoscale Email: nian.wu@aalto.fi Research Interests: Nanotechnology for molecular adsorption analysis Deep learning applications in scanning probe microscopy Protein-ligand interaction modeling Publications (2023-2024): Recent work includes studies on lignocellulosic molecule adsorption and protein-ligand interactions, combining machine learning with surface analysis techniques. Collaborations: Works with researchers across multiple institutions, including Joakim Jestilä, Adam Foster, and Peter Liljeroth.

Edward Hutchinsonمشاهده پروفایل

استاد

• Molecular Virology
• Influenza Virus
• Respiratory Viruses
• +۴ مورد دیگر

Edward Hutchinson is a Professor of Molecular and Cellular Virology at the University of Glasgow’s Centre for Virus Research (CVR) , focusing on influenza and respiratory viruses. He leads a multidisciplinary team integrating virology, molecular biology, mass spectrometry, and structural biology to unravel virion formation, infectivity, and host interactions. Education: PhD in Molecular Biology of Influenza at University of Cambridge (supervised by Paul Digard), Postdoctoral Research at University of Oxford (Ervin Fodor), and Junior Research Fellow at Worcester College (2010–2014). Grants: Principal Investigator for MRC, BBSRC, and Wellcome Trust-funded projects, including the Influenza Virus Toolkit and Virus Dashboards. Research Interests: Hutchinson’s work centers on the molecular mechanisms of influenza virus replication, virion heterogeneity, and host-pathogen interactions. His lab investigates cryptic protein production, superinfection exclusion, and filamentous virion formation, bridging basic virology with pandemic preparedness. Recent Publications: His 15 most recent articles (2025–2019) highlight trends in influenza virus stability, SARS-CoV-2 coinfection dynamics, proteomic analysis of virions, and public health applications of virology. Notably, his 2025 Nature Communications study on thermal inactivation of influenza in milk and 2023 Nature paper on BTN3A3 evasion mechanisms underscore his impact on zoonotic transmission research. Scientific Recognition: Awards include the Microbiology Society ’s 2021 Outreach Prize, 2008 Biosciences Federation New Researcher Communication Award, and 2007 Young Microbiologist of the Year. He serves on grant panels (BBSRC, Royal Society) and editorial boards (Journal of General Virology). Advising & Collaboration: Supervises four PhD students and has mentored numerous researchers who now hold roles in academia, industry, and healthcare. His lab collaborates on reagent sharing, public engagement, and international virology initiatives like ESWI. Labs & Teams: Based at the CVR, his group develops tools like the Influenza Virus Toolkit and hosts public outreach events via partnerships with The Glasgow School of Art, creating AR apps and educational materials to visualize viruses.

• Neuroscience
• Astrocyte Biology
• Calcium Signaling
• +۵ مورد دیگر

Dr. Baljit S. Khakh is a Professor of Neurobiology and Physiology at the David Geffen School of Medicine, University of California, Los Angeles. He holds the Eleanor I. Leslie Chair of Neuroscience and leads groundbreaking research on astrocyte biology, calcium signaling, and their roles in neural circuits and neurodegenerative diseases. His work integrates optical/genetic tools with proteomic and behavioral studies, funded by multiple NIH grants including R01, R35, and DP1 awards. Research Focus: Astrocyte diversity, calcium signaling, Huntington's disease, Alzheimer's pathology, neural circuit modulation. Key Collaborations: Michael Sofroniew (UCLA), Loren Looger (Janelia), James Wohlschlegel (UCLA), Peyman Golshani (UCLA). Techniques: Genetically-encoded sensors, proximity biotinylation, in vivo calcium imaging, astrocyte-neuron interaction assays. Scientific Awards: Eleanor I. Leslie Chair of Neuroscience