جست‌وجوی استاد و پژوهشگر

Yapei Zhangمشاهده پروفایل

پژوهشگر

• Nanomedicine
• Drug Delivery Systems
• Cancer Therapy
• +۳ مورد دیگر

Yapei Zhang is a Researcher at the Institute for Quantitative Health Science & Engineering within the College of Engineering at Michigan State University. Her work focuses on advancing nanomedicine, drug delivery systems, and biomaterials for applications in cancer therapy, cardiovascular disease, and biomedical imaging. She has contributed to the development of targeted nanotherapies, stimuli-responsive materials, and CRISPR delivery technologies, integrating computational modeling with experimental approaches. Her research interests span nanomedicine, drug delivery optimization, and therapeutic genome editing. Key areas include nanoparticle design for targeted drug delivery, photoactive nanocarriers for theranostics, and magnetic hyperthermia therapies. Zhang’s studies also address atherosclerosis treatment via pro-efferocytic nanotherapies and explore the use of carbon nanotubes in imaging inflamed plaques. Notable contributions include advances in pH-sensitive drug delivery systems, electrospun wound-healing membranes, and multimodal imaging techniques. Her work emphasizes translational applications, such as improving hypertension therapies and enhancing tumor diagnosis through nanotechnology. While no formal awards are listed, her publications reflect a strong focus on interdisciplinary innovation at the intersection of engineering and medicine. She is affiliated with the Institute for Quantitative Health Science & Engineering, leveraging its resources for collaborative research in health science and engineering.

Adam Alessioمشاهده پروفایل

استاد

• Medical Imaging Algorithms
• Quantitative Diagnostics
• Machine Learning in Healthcare
• +۵ مورد دیگر

Adam Alessio is a Professor at Michigan State University (MSU), holding joint appointments in the Department of Computational Mathematics, Science, and Engineering, the Department of Biomedical Engineering, and the Department of Radiology. He currently serves as Interim Chair of the Department of Biomedical Engineering. Alessio specializes in non-invasive cancer quantification and advanced imaging algorithms, focusing on translational research at the intersection of medical imaging and decision-making. His work spans machine learning for diagnostics, cardiac perfusion estimation, and radiation dose optimization. He earned a Ph.D. in Electrical Engineering from the University of Notre Dame and completed post-doctoral training in nuclear medicine physics at the University of Washington. Prior to MSU, he was a Professor of Radiology at the University of Washington. His research group emphasizes clinically motivated projects, including AI-driven diagnostics, quantitative PET/CT imaging, and system modeling for improved patient outcomes. Key research themes include automated pathology detection (e.g., rib fractures, pneumoconiosis), biomarker discovery in cancer, and multimodal imaging fusion. His contributions to imaging technology include innovations in PET/MRI quantification, nanoparticle-enhanced tracking of transplanted cells, and motion correction algorithms for PET/CT.

• Neuroradiology
• Magnetic Resonance Imaging
• Contrast Media Safety
• +۳ مورد دیگر

Carlo Cosimo Quattrocchi serves as Full Professor at the University of Trento with joint appointments in the Department of Physics and Center for Mind/Brain Sciences (CIMeC), concurrently holding the position of Deputy Dean at the Centre for Medical Sciences (CISMED). His academic roles bridge fundamental physics and clinical neuroscience applications. Research interests focus on neuroradiology innovation, particularly: Safety optimization of gadolinium-based contrast agents in MRI Environmental sustainability in radiology practice AI-driven diagnostic imaging techniques Brain structural changes in neurological/metabolic disorders He actively develops clinical guidelines through European radiology societies. Publication analysis reveals strong trends: Leadership in contrast media safety research (7/10 recent papers) Integration of AI methodologies in neuroimaging diagnostics Focus on practical clinical applications in neuroradiology Interdisciplinary approaches combining physics, medicine, and environmental science Teaching responsibilities include core medical courses: Diagnostic Imaging : Covers principles of ultrasound, CT, MRI, and nuclear medicine with emphasis on clinical integration AI for Diagnostic Imaging : Focuses on deep learning applications in medical image analysis Professional education courses on healthcare technology and socio-medical needs No information about research grants, supervised students, laboratory facilities, or scientific awards was found in provided materials.

Zhenpeng Qinمشاهده پروفایل

دانشیار

• Nanomaterials
• Photonics
• Neuroscience
• +۱۳ مورد دیگر

Zhenpeng Qin is an Associate Professor and Fellow of the Eugene McDermott Professorship in the Department of Mechanical Engineering at the University of Texas at Dallas, within the Erik Jonsson School of Engineering and Computer Science. He leads the Nano-Thermal Bioengineering Laboratory, where his interdisciplinary research bridges nanomaterials, photonics, neuroscience, and rapid diagnostics. PhD in Mechanical Engineering, University of Minnesota, Twin Cities (2014) MS in Mechanical Engineering, University of Akron (2009) BS in Energy and Power Engineering, Xi'an Jiaotong University (2007) Dr. Qin's research focuses on biotransport and nanotechnology , particularly the fundamental interactions between nanomaterials and biological systems. His work explores thermo-plasmonics, bio heat and mass transfer, point-of-care diagnostics, nano biosensors, immunoassay enhancement, and cancer nanotechnology . A major thrust of his research is modulating the blood-brain and blood-brain-tumor barriers using optical and nanomaterial-based approaches to enable drug delivery for brain tumors and neurological disorders. His recent publications reveal a strong trend in optical control of biological systems , including photoswitchable nanovesicles for neuromodulation, plasmonic amplification in diagnostics, and nanoparticle-mediated barrier modulation . These works span disciplines such as neuroscience, oncology, bioengineering, and analytical chemistry, with emphasis on translational applications in diagnostics and therapy. Dr. Qin has received numerous scientific honors, including: Y.C. Fung Early Career Award, ASME (2021) NIH MIRA R35 Award (2019) Discovery Award, Department of Defense (2019) Faculty Research Award, Jonsson School (2020) Inaugural Pitch Competition Winner, MassChallenge (2022) Member, Sigma Xi (2020) He has been principal investigator on multiple major grants from NIH, NSF, CPRIT, and DoD , including an R01 on rapid RSV diagnostics and an NSF NCS-FR grant on neuropeptide modulation. He advises students in an interdisciplinary lab environment and has co-founded Avsana Labs while serving as a consultant for Acthera Therapeutics . His lab, the Nano-Thermal Bioengineering Laboratory , fosters collaboration across engineering, biology, and medicine to develop new tools for fundamental research and clinical translation.

Carmel Moranمشاهده پروفایل

استاد

• Medical Imaging
• Ultrasound
• Preclinical Research
• +۳ مورد دیگر

Carmel Moran is a Personal Chair of Preclinical Ultrasound at the Centre for Cardiovascular Science, University of Edinburgh, leading her research group with expertise in advanced imaging techniques. Her primary research focuses on high-frequency ultrasound and ultrasonic contrast agents, enabling real-time structural and blood flow analysis in adult, neonatal, and embryonic hearts, livers, and kidneys. She established the university's preclinical ultrasound imaging facility in 2008 through a £516K Wellcome Trust grant and recently contributed to securing additional Wellcome Trust funding for a preclinical large animal imaging facility. Current collaborations with NHS colleagues involve developing high-resolution test phantoms for preclinical imaging validation. Professor Moran's research group includes Preclinical Imaging Research Associate Adrian Thomson and advises the following students: Marion Bacou (PhD Student, IGMM) Harry Carstairs (MPhys Student, School of Physics) Adeel Shafi (PhD Student, School of Engineering) Her major funding achievements include the 2008 Wellcome Trust award establishing the preclinical ultrasound facility and the recent successful application for the preclinical large animal imaging facility. The group operates from the preclinical ultrasound imaging facility at the Queen's Medical Research Institute and is expanding capabilities through the new large animal imaging facility development.

• Neuroscience
• Medical Imaging
• Regenerative Medicine
• +۳ مورد دیگر

Øystein Olsen is an Associate Professor at the Radiography BSc program, UiT The Arctic University of Norway, with research expertise in Magnetic Resonance Imaging (MRI) and neuroregenerative applications using manganese-based contrast agents . His work spans Central nervous system injury visualization Optic nerve regeneration tracking Alginate hydrogel contrast delivery systems Academic program evaluation Research trends include neuroimaging innovation , axon regeneration monitoring , and multimodal MRI techniques for neural repair assessment. Recent publications focus on 2019 education policy analysis 2015 radiography curriculum evaluation 2013 glial cell therapy for nerve repair

Pavlos Anastasiadisمشاهده پروفایل

استادیار

• Focused Ultrasound
• Brain Tumors
• Glioblastoma
• +۵ مورد دیگر

Pavlos Anastasiadis, PhD, serves as an Assistant Professor at the University of Maryland, Baltimore School of Medicine with primary appointment in the Department of Neurosurgery and secondary appointments spanning Diagnostic Radiology and Nuclear Medicine. Primary Department: Neurosurgery Secondary Departments: Diagnostic Radiology Nuclear Medicine His research program pioneers ultrasound-based neurological interventions, focusing on tumor ablation (particularly glioblastoma), blood-brain barrier permeabilization, and seizure management. Key methodologies include microbubble-enhanced focused ultrasound, contrast agent development, and computational modeling of acoustic-biological interactions to optimize therapeutic outcomes. Scientific Awards: No awards documented in source material Advising and Funding: Source text provides no details regarding graduate student mentorship, research grants, or sponsored projects. Contact information indicates active institutional engagement via email (panast@som.umaryland.edu) and phone (410-706-4453). Laboratory infrastructure and collaborative research teams are not described in the available profile data.

• Molecular simulation
• Computational chemistry
• Rare earth elements
• +۳ مورد دیگر

David Cantu is an Associate Professor in the Department of Chemical and Materials Engineering at the University of Nevada, Reno, College of Engineering. Based in the Scrugham Engineering and Mines Building (room 208), he teaches core chemical engineering courses including Computer Applications in Chemical Engineering, Process Control, and Separation Processes. His research spans molecular simulation, computational chemistry, rare earth elements, separations, enzymes, and bioinformatics. He employs advanced computational methods to investigate lanthanide complex structures, protein family evolution, and sustainable separation techniques for critical materials, with particular emphasis on gadolinium and europium systems for medical and environmental applications. Recent publications (2023-2025) demonstrate a dominant focus on lanthanide chemistry through molecular dynamics and X-ray absorption spectroscopy, revealing structural insights into complex stability, magnetic properties, and separation mechanisms. Concurrent work applies submodular optimization to protein sequence analysis and develops sustainable waste management strategies for radioiodine capture. Dr. Cantu's research excellence is recognized through prestigious awards: CAREER Award, National Science Foundation (2021) New Investigator Award, American Chemical Society Petroleum Research Fund (2019) While specific advising details and grant portfolios beyond the cited awards are not documented in source materials, his work integrates computational chemistry with practical separation engineering challenges. Laboratory facilities and collaborative teams are not explicitly described in available documentation.

Nitesh Chawlaمشاهده پروفایل

استاد

• Artificial Intelligence
• Data Science
• Network Science
• +۳ مورد دیگر

Nitesh Chawla is the Frank M. Freimann Professor of Computer Science and Engineering at the University of Notre Dame, where he serves as the founding Director of the Lucy Family Institute for Data and Society. His research focuses on artificial intelligence, data science, and network science, with a mission to advance technology for the common good through interdisciplinary collaboration. Education: Ph.D. in Computer Science and Engineering, University of South Florida, 2002 M.S. in Computer Science, University of South Florida, 2000 B.E. in Computer Science and Engineering, University of Poona, 1997 Research Focus: Chawla pioneers work at the intersection of AI and societal impact, specializing in machine learning fairness, graph neural networks, federated learning, and large language model applications. His lab addresses real-world challenges in healthcare, education, and social equity through innovative data-driven methodologies. Publication Trends: Recent work (2023-2025) demonstrates a strong emphasis on foundation models for graphs, ethical AI deployment, and human-centered applications. Key themes include LLM robustness, federated learning architectures, bias mitigation, and educational AI, reflecting a consistent focus on scalability and societal relevance. Awards & Honors: Fellow, American Association for the Advancement of Science (AAAS) AAAI Fellow (2024) ACM Fellow IEEE Fellow (2022) Leadership: Directs the Lucy Family Institute for Data and Society, an interdisciplinary hub developing data science solutions for global challenges. The institute fosters collaborations across academia, industry, and communities to translate research into measurable social impact.

• Radiation Oncology
• Medical Physics
• Dosimetry
• +۳ مورد دیگر

Svetlana Kuznetsova is an Assistant Professor in the Department of Therapeutic Radiology at Yale School of Medicine. She works at Yale New Haven Hospital as a Medical Physicist, focusing on advancing radiation oncology methodologies through clinical research and standardization of tools. Ph.D. in Medical Physics, University of Calgary (2021) B.Sc. (Honors) in Physics and Astronomy, University of Calgary (2015) Medical Physics Residency, University of California, San Diego (2023) Her research spans radiation therapy optimization, including: SBRT (Stereotactic Body Radiation Therapy) for liver and abdominal cancers Deformable image registration for multi-modal treatment planning Dosimetric analysis of critical organ interactions Development of auto-delineation frameworks for post-treatment MRI scans Characterization of dosimeters for low-energy clinical applications Her recent publications focus on prostate cancer contouring variability (2024), SBRT liver treatment accuracy (2021), and abdominal compression dosimetry (2019), reflecting a consistent emphasis on precision radiation delivery across tumor sites. Scientific recognitions include: NSERC Postgraduate Doctoral Scholarship IOMP Best Oral Presentation Award (2018) Ph.D. thesis nominated for Governor General Gold Medal Kuznetsova's work bridges clinical physics challenges with innovative technical solutions, particularly in geometric accuracy verification and cross-modality imaging integration for stereotactic radiotherapy.

Junchan J. Yuneمشاهده پروفایل

استادیار

• Urology
• Female Pelvic Medicine
• Reconstructive Surgery
• +۳ مورد دیگر

Junchan J. Yune, MD is an Assistant Professor in the Department of Urology at Loma Linda University School of Medicine. His academic focus centers on urologic surgery with emphasis on pelvic reconstruction and minimally invasive techniques. Institution: Loma Linda University Academic Role: Assistant Professor Department: Urology Dr. Yune specializes in Female Pelvic Medicine and Reconstructive Surgery , with particular attention to: Sacral neuromodulation Urinary retention management Endoscopic imaging Urodynamics Research trends in 2013-2022 emphasize urologic surgical innovation , including: Radiation reduction techniques during neuromodulation Alternative agents for intraoperative ureteral visualization Comparative analysis of cystoscopy lens angles Postoperative complication prevention in pelvic surgery Key clinical projects include: Internal Postoperative Outcomes of Sacral Neuromodulation (2020-2021) Radiation Exposure Reduction in Neuromodulation Lead Implantation (2020) His work spans translational research from surgical technique development to clinical implementation, maintaining strong ties to Loma Linda University's Urology Department.

Alexandr Malusekمشاهده پروفایل

مدرس ارشد

• Medical Physics
• Spectral CT Imaging
• Multi-energy CT
• +۷ مورد دیگر

Dr. Alexandr Malusek is a Senior Lecturer at Linköping University's Division of Radiological Sciences, Department of Diagnostics and Specialist Medicine. His work focuses on quantitative tissue classification using spectral and multi-energy CT, and improving radiation dosimetry with KAP-meter calibration. Specialization : Quantitative CT, Internal Dosimetry, Image Quality Optimization Key Tools : DIRA Algorithm, Monte Carlo Simulations, Photon-counting CT Research Interests : Developing advanced CT techniques for tissue characterization and radiation therapy planning. His work addresses challenges in creating mathematical models to fill gaps in spectral CT data and extends dosimetry models to quantify uncertainties in radiation exposure calculations. Publication Trends : Focus on Dual-energy CT , Photon-counting Detectors , Monte Carlo Simulations , and Radiation Safety . Recent work emphasizes automated bone analysis , image reconstruction accuracy , and uncertainty quantification in dosimetry. Labs & Collaborations : Affiliated with the Center for Medical Image Science and Visualization (CMIV) , conducting interdisciplinary research bridging medicine and technology.

Simon Duckettمشاهده پروفایل

استاد

• Hyperpolarization
• Nuclear Magnetic Resonance (NMR)
• Catalysis
• +۷ مورد دیگر

Simon Duckett is a Professor and Director of the Centre for Hyperpolarisation in Magnetic Resonance at the University of York. His academic career spans over three decades, including roles as Lecturer (1993-2001), Reader (2002-2005), and Professor (2005-present). He pioneered hyperpolarization techniques to enhance NMR and MRI sensitivity, with research focusing on parahydrogen-induced polarization, molecular symmetry in NMR, catalytic activity probing, photochemical reactivity studies, and biomedical hyperpolarization applications. Director, Centre for Hyperpolarisation in Magnetic Resonance (2010-present) Director, Centre for Magnetic Resonance (2008-2011) Principal Investigator for multiple funded projects (EPSRC, European Commission) His work bridges inorganic chemistry and biomedical applications through: Design of novel inorganic complexes with NMR-active isotopes (¹³C, ¹⁵N) Development of hyperpolarization methods for disease diagnosis Investigation of catalysis mechanisms via photolysis-NMR coupling Recent publications highlight advancements in: Hyperpolarized MRI for metabolic imaging Catalytic hydrogenation of alkanes Biocompatible SABRE applications Dynamic nuclear polarization techniques Scientific recognition includes the 2020 Günther Laukien Prize.

Anna C. Samiaمشاهده پروفایل

استاد

• Analytical Chemistry
• Inorganic Chemistry
• Materials Science
• +۷ مورد دیگر

Anna C. Samia serves as the Rudolph and Susan Rense Professor of Chemistry and Chair of the Department of Chemistry at Case Western Reserve University, leading the Samia Research Group with active administrative and research responsibilities. Her academic foundation includes a BS from the University of the Philippines-Diliman (1996), a PhD from Georgia Institute of Technology (2002), and postdoctoral training at Case Western Reserve University (2002-2003), Argonne National Laboratory (2003-2005), and CWRU School of Medicine (2005-2010). Dr. Samia's research pioneers magneto-opto-electronic properties of intermetallic and metal oxide nanostructures through chemical design, targeting applications in nanotheranostics and environmental nanotechnology . Her group develops magnetic nanoparticle composites for MRI/MPI/hyperthermia, hybrid nanoparticles for environmental biosensing, and nanomaterial platforms for water treatment and agri-nanotechnology including targeted agrochemical delivery. Analysis of her 2013-2014 publications reveals an interdisciplinary focus on functional nanomaterials bridging medical diagnostics (e.g., MPI theranostics), antibacterial applications (iron oxide-carbon nanochains), and electrochemical sensing (Pt-Ag nanoboxes), demonstrating consistent innovation in nanomaterial synthesis for real-world implementation. Scientific Awards: No awards explicitly documented in source material As research group leader, Dr. Samia directs graduate student training and secures funding for nanotechnology projects spanning biomedical and environmental domains, though specific grant details and student names remain unlisted in available documentation. The Samia Research Group operates at the chemistry-engineering interface, maintaining specialized instrumentation for nanomaterial synthesis and characterization to advance applications in plant-microbe interactions, water purification, and medical imaging technologies.

Noam Ben-Eliezerمشاهده پروفایل

استاد

• Quantitative MRI
• Microstructural MRI
• Neuroimaging
• +۶ مورد دیگر

Professor Noam Ben-Eliezer is a faculty member in the Department of Biomedical Engineering at The Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University. He also holds an adjunct position as Assistant Professor of Radiology at the Center for Advanced Imaging Innovation and Research (CAI2R) and is affiliated with the Sagol School of Neuroscience. His research laboratory focuses on developing and applying advanced MRI techniques for biomedical applications. Prof. Ben-Eliezer's work resides at the interface between developing novel methodologies for non-invasive quantitative MRI and their application for investigating tissue structure and function. His research spans multiple areas including: Design of new quantitative and microstructural MRI protocols Deep learning networks for clinical data processing MRI image denoising techniques Accelerated acquisition schemes Customized signal processing algorithms Presurgical EEG analysis in epilepsy patients His laboratory is particularly focused on characterizing the myeloarchitecture of the central nervous system to understand neurodegenerative demyelinating diseases, especially multiple sclerosis. Applications extend to Multiple Sclerosis, personalized cancer treatment, Schizophrenia, Insomnia, Psychedelics in medicine, Muscular Dystrophy, and Neuromuscular diseases. Prof. Ben-Eliezer's recent publications demonstrate a strong trend toward developing more accurate, faster MRI techniques with increasing incorporation of machine learning approaches. Much of his work centers on quantitative T2 mapping across various clinical conditions, particularly in neurology and orthopedics. The Lab for Advanced MRI maintains multiple research projects including myelin quantification, T2 mapping, acceleration techniques, multiple sclerosis pathophysiology, adipose tissue characterization, and deep learning for image segmentation. The lab has developed several software tools available for download, including the EMC platform for quantitative MRI analysis, and continues to push MRI technology boundaries for scientific and clinical applications.