جست‌وجوی استاد و پژوهشگر

Mike Scarpullaمشاهده پروفایل

استاد

• Compound Semiconductors
• Defect Engineering
• Ultrawide Bandgap Semiconductors
• +۷ مورد دیگر

Mike Scarpulla is a Professor in both the Department of Electrical & Computer Engineering and Materials Science & Engineering at the University of Utah since 2008. He earned a ScB in Materials Science & Engineering (MSE) from Brown University (2000), worked at IBM Almaden Research Center, and obtained his PhD in MSE from UC Berkeley (2006) . His multidisciplinary research focuses on compound semiconductors , defect characterization , and device reliability . Key research areas: Ultrawide Bandgap Semiconductors (GaN, Ga2O3), Thin Film Solar Cells (CdTe), and Radiation Effects on semiconductor devices His group develops novel techniques like photoluminescence microscopy and spread spectrum time-domain reflectometry (SSTDR) for PV system monitoring Research Trends: His recent work explores β-Ga2O3 phase transitions, GeO2 epitaxy , defect diffusion , and high-doping mechanisms in GaAs. He investigates electron-phonon coupling , ionic conductivity , and optical polarization in novel semiconductors. Scientific Recognition: University Professor (2023) College of Engineering Outstanding Service Award (2022) ECE Chair's Award (2022) Top 15% Instructor (2020) Outstanding Research Award (2019) Teaching: He teaches graduate courses in photovoltaic materials and undergraduate research. His group has produced >200 peer-reviewed publications and conference talks, including a book chapter on solar cell characterization.

• Medical Image Analysis
• Image Segmentation
• Deep Learning
• +۳ مورد دیگر

Chunliang Wang is a researcher with Docent title at the School of Technology and Health (STH), KTH Royal Institute of Technology, Sweden. His primary affiliation is with the Division of Biomedical Imaging at Hälsovägen 11C, Stockholm. He serves as course responsible for Deep Learning Methods for Medical Image Analysis (CM2003) and Medical Engineering, Basic Course (HL1007), while also teaching 3D Image Reconstruction and Analysis in Medicine (HL2027) and Degree Projects in Medical Engineering. His educational background includes medical training at Tianjin Medical University (1998-2005) and a PhD in Medical Science from Linköping University (2011). Prior to his academic career, he worked as a software engineer at Sectra AB in Linköping (2011-2015). Wang's research focuses on medical image analysis , specializing in image segmentation , deep learning , and statistical shape modeling . His work bridges clinical applications with computational methods, particularly in cardiovascular and neurological imaging. As the key contributor to MiaLab software (mialab.org), he develops practical tools for medical image processing. His publication portfolio spans 21 journal articles and 18 conference papers since 2007, with recent work emphasizing deep learning applications in multi-organ segmentation, coronary artery analysis, and neurological imaging. The 15 most recent publications demonstrate consistent focus on algorithm development for clinical image interpretation, particularly in segmentation challenges across multiple anatomical systems. Wang has developed significant research software including MiaLab (since 2011), CMIV CTA plug-in for OsiriX, MeVisHub, and MiaLite. His patented work on level-set based image processing (2013) demonstrates translational impact. While no formal awards are listed, his leadership in multiple MICCAI challenges and VISCERAL benchmarks highlights community recognition.

• Developmental Neurotoxicity
• Adult Neurotoxicity
• Alternative Methods to Animal Testing
• +۷ مورد دیگر

Katharina Koch serves as Junior Research Group Leader at the Leibniz Institute for Environmental Medical Research (IUF) in Düsseldorf, Germany, where she heads the Environmental Toxicants and the Brain Research group. Her work focuses on developing and validating alternative methods to animal testing for assessing neurotoxicity, with particular emphasis on developmental and adult neurotoxicity. She collaborates extensively with national and international partners including researchers from Ruhr University Bochum, University of Konstanz, and institutions in the United States and Switzerland. Dr. Koch's research interests center on creating cross-species 3D neurosphere test systems for characterizing developmental neurotoxicity (DNT), which form an integral component of the DNT in vitro battery supported by EFSA and OECD. Her work extends to endocrine-mediated DNT, embryotoxicity, and developmental immunotoxicity. She has established several neurotoxicity Adverse Outcome Pathways (AOPs) and contributes to novel toxicology concepts for cognitive dysfunction with regulatory applications. Her group's work on BrainSphere models is advancing next-generation risk assessment within the EU-PARK project and investigating Cockayne syndrome B disease mechanisms. Her research group operates within a robust funding framework, with projects supported by the German Research Foundation (DFG), European Union Horizon programs, the US National Toxicology Program, and industry partnerships through Leibniz Alternatives. The group has developed AI-based cell identification from high-content imaging analyses and established biostatistical pipelines for comparative data processing. Dr. Koch actively mentors a team of doctoral students, master's students, and postdoctoral researchers, fostering the next generation of toxicology scientists. Her collaborative network spans multiple disciplines, connecting environmental science, neuroscience, and regulatory toxicology to advance human-relevant testing approaches that reduce reliance on animal models.

• Medical Physics
• Radiation Oncology
• Cancer Imaging
• +۵ مورد دیگر

Professor Paul Keall is a leading academic in Medical Physics and Radiation Oncology at the University of Sydney , where he serves as the Director of the Image X Institute and an NHMRC Leadership Fellow . His research at the Sydney School of Health Sciences focuses on innovating cancer imaging and targeted radiation therapy methods. Academic Leadership: Former Director of Radiation Physics Division at Stanford University (2006-2010) Research Impact: Over 350 publications, 25 patents, and 3 startup companies Research Interests include enhancing radiotherapy efficacy through real-time imaging, developing MRI-linac systems , low-cost Nano-X devices , and AI-driven motion management . His work emphasizes clinical translation and global accessibility of cancer treatments. Article Trends demonstrate expertise in real-time tumor tracking , deep learning applications , motion-adapted radiotherapy , and open-source frameworks for imaging and dose optimization. Scientific Awards include the NHMRC Leadership Fellowship and Australia Fellowship , reflecting his status as a top-tier cancer imaging and radiotherapy researcher. Advising : Mentors students in projects like KIM-based adaptive radiotherapy and deep learning for motion monitoring Grants : Funded by competitive government research grants with industry partnerships International Collaborations span institutions in Denmark, Germany, Italy, and the United States, including Stanford University and MD Anderson Cancer Center.

Sandra Jacobsonمشاهده پروفایل

استاد

• Prenatal Alcohol Exposure
• Fetal Alcohol Spectrum Disorders (FASD)
• Neurodevelopmental Disorders
• +۴ مورد دیگر

Sandra Jacobson is a Professor in the Department of Psychiatry at Wayne State University , specializing in neurodevelopmental consequences of prenatal exposures . Her research focuses on fetal alcohol spectrum disorders (FASD) , environmental contaminant effects , and cognitive/behavioral outcomes in infants and children. Key research areas: Prenatal Alcohol Exposure, Fetal Alcohol Syndrome, Neuroimaging (fMRI, DTI), Iron Homeostasis, and Environmental Toxicants (PCBs, Mercury). Current work examines genetic-environmental interactions and maternal nutritional interventions to mitigate prenatal alcohol effects. Recent publications (2024-2025) emphasize: Brain structure-function relationships in FASD (cortical volumes, connectivity, arithmetic processing) Environmental contaminant mixtures (lead, mercury, PCBs) and cognitive deficits Maternal choline supplementation trials for neuroprotection Placental gene expression and developmental outcomes Advanced statistical modeling of exposure-response curves Collaborators include Joseph Jacobson (epidemiology), Mark Stanton (EBC methods), and Ernesta Meintjes (Cape Town neuroimaging).

• Trustworthy AI
• Medical Imaging
• Data Science
• +۶ مورد دیگر

Xiaofeng Liu is an Assistant Professor at Yale School of Medicine with joint appointments in Radiology & Biomedical Imaging and Biomedical Informatics & Data Science . He is an Associate Member at the Broad Institute of MIT and Harvard , and actively engaged in editorial roles as Associate Editor for IEEE Transactions on Neural Networks and Learning Systems and Journal of Medical Internet Research . His research spans trustworthy AI , medical imaging , and data science with applications in disease diagnosis and treatment monitoring. His research focuses on generalizable AI models for medical imaging, particularly in domain adaptation , diffusion models , and multimodal analysis . Recent work trends include AI-driven oncology (e.g., glioblastoma survival prediction), medical image enhancement (super-resolution, PET denoising), and clinical decision systems for Crohn's disease and depression detection. Collaborations with Georges El Fakhri and Jinsong Ouyang demonstrate cross-disciplinary approaches. 2025 Robert F. Wagner Best Student Paper Finalist Award 2024 Trailblazer R21 NIH Award 2024 NSF NAIRR Pilot Award 2024 Google Cloud Research Credits The Xiaofeng Liu Lab (Whisk Cup) develops AI methods for biomedical imaging, affiliated with the Yale Biomedical Imaging Institute and Center for Brain & Mind Health . The lab trains students in deep learning , medical image analysis , and health informatics .

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

Dean Cutajar is a Lecturer in the School of Physics at the University of Wollongong since 2021. His research focuses on advanced radiation therapy techniques, medical dosimetry, and quality assurance in brachytherapy and MRI-Linac systems. He has contributed to the development of high-resolution dosimetry tools like MagicPlates and MOSkin sensors, enhancing precision in cancer treatment. His work spans HDR and LDR brachytherapy, real-time dosimetry validation, and adaptive radiotherapy strategies for prostate and cervical cancers. Key projects include optimizing source tracking in HDR treatments and improving dosimetric accuracy in complex geometries like MR-Linacs. He has supervised numerous PhD and Master’s students in radiation oncology and medical physics. Research Highlights: Fiber-optic dosimeters, Geant4 benchmarking, in-vivo dosimetry, and MRI-Linac integration. Grants: Led projects funded by NHMRC, AINSE, and the University of Wollongong, totaling over $5M in research support. Dean collaborates internationally on advancing radiation therapy technologies, emphasizing clinical translation and evidence-based treatment planning.

Markus Heckerمشاهده پروفایل

استاد

• Environmental Toxicology
• Aquatic Ecology
• Fish Biology
• +۳ مورد دیگر

Markus Hecker is a Professor in the School of Environment and Sustainability at the University of Saskatchewan, holding the Tier 1 Canada Research Chair in Predictive Toxicology and Chemical Safety. He is also a Member of the Royal Society of Canada’s College of New Scholars, Artists and Scientists. His research focuses on environmental stressors’ biological impacts, environmental risk assessment, aquatic ecology, and bioanalytical techniques. He holds a PhD and MSc from the Institute of Hydrobiology and Fisheries Science, University of Hamburg. Research interests include investigating how pollutants affect aquatic organisms, particularly fish, and developing methods to assess chemical toxicity. His work spans transcriptomics, endocrine disruption, and the effects of emerging contaminants like 6PPD-quinone. Awards include the prestigious CRC Tier 1 Chair. He has contributed to over 100 peer-reviewed articles, emphasizing transgenerational toxicity, aquatic ecosystem health, and predictive toxicology tools. Key projects involve assessing complex groundwater mixtures, microplastic impacts, and the toxicokinetics of contaminants across species. His lab integrates genomics, transcriptomics, and field studies to address real-world environmental challenges, such as mitigating pollution risks in freshwater systems.

• Esports and Health
• Performance Psychology
• Stress and Coping
• +۴ مورد دیگر

Michael Trotter is a Senior Lecturer at the School of Health and Welfare , Halmstad University , Sweden. His current role centres on research and teaching at the intersection of health, psychology, and competitive gaming. Research interests span three core areas: Performance & Health in Esports: investigating caffeine, micro-breaks, and reaction-time optimisation among esports players and coaches; Psychological Determinants of Success: examining stress, coping, self-regulation, and mental toughness across amateur to elite levels; Development & Education: exploring youth development through school esports programmes and evidence-based coaching frameworks. Across more than twenty-five peer-reviewed publications (2020-2025), Trotter’s work reveals a clear trajectory: early focus on defining the esports athlete and mapping stress-coping patterns evolved into intervention studies on caffeine and micro-breaks, followed by applied coaching frameworks and mental-health promotion initiatives. Scientific awards & distinctions: No awards are listed in the provided material. Advising & grants: No specific doctoral students, master’s advisees, or grant details are disclosed in the supplied text. Laboratories & teams: While no dedicated laboratory name is mentioned, his affiliation with the School of Health and Welfare suggests collaborative access to the university’s Health Innovation and interdisciplinary Smart Cities research environments.

• Medical Physics
• Radiation Oncology
• Biomedical Engineering
• +۳ مورد دیگر

Dr. Claudiu Cojocaru is a medical physicist affiliated with the Ionizing Radiation Standards group at the National Research Council of Canada , focusing on high-precision dosimetry for electron and photon beams. His work involves experimental validation of Monte Carlo simulations and development of parametric x-ray sources using linear accelerators. Research Interests: Specializes in electron beam dosimetry , ionization chamber perturbation factors , and Monte Carlo code benchmarking to improve radiation therapy accuracy. Grants: Collaborates on NIH-funded projects (R01 CA120198) related to medical physics and radiation measurement standards. Publications: His 2010 Medical Physics study challenged dosimetry protocols by demonstrating energy-dependent effective points of measurement, while 2008 works addressed thin-foil scattering and angular distribution data for Monte Carlo validation. Labs: Works in the LINAC Laboratory, conducting experiments with a 3-40 MeV Vickers research linear accelerator.

Ethan Petersonمشاهده پروفایل

استادیار

• Radiation Transport
• Fusion Reactor Design
• Neutronics
• +۴ مورد دیگر

Ethan Peterson is an Assistant Professor in the Department of Nuclear Science and Engineering at the Massachusetts Institute of Technology, where he leads the neutronics group at the Plasma Science and Fusion Center. His research focuses on radiation transport and transmutation methods, reactor design optimization, and uncertainty quantification for fusion technologies. PhD in Experimental Plasma Physics, University of Wisconsin–Madison Research interests center on developing predictive nuclear modeling for fusion reactor design, emphasizing high-fidelity Monte Carlo simulations using OpenMC. His work addresses unique challenges in fusion neutronics including complex geometries, tritium breeding, and materials testing, with applications to projects like SPARC, LIBRA, and ARC tokamaks. Recent publications demonstrate expertise in neutron shielding design, computational validation, and multi-physics simulations for fusion systems. He teaches courses in neutron physics, Monte Carlo methods, and plasma physics seminars.

• Immunology
• Oncology
• Medical Research
• +۲ مورد دیگر

Mautin Barry-Hundeyin is an Assistant Professor in the Department of Surgery at the University of Kentucky , with affiliations to the Markey Cancer Center and the Translational Oncology Research Program . His academic journey includes a Doctor of Medicine from Pennsylvania State University (2012), a Residency at Harvard University (2020), and a Post Doctoral Fellowship at Memorial Sloan Kettering Cancer Center (2022). Research interests focus on macrophage and T-cell interactions in abdominal cancers , particularly pancreatic and gastric adenocarcinomas , with emphasis on immune tolerance , immunotherapy , and germline testing protocols . Recent projects, such as "How Macrophages Regulate Stomach Cancer" and "ICOSL Reverse Signaling in Pancreatic Cancer" , highlight his work in tumor microenvironment dynamics and targeted therapies . Scientific awards include funding from the Markey Cancer Center Foundation , Elsa U Pardee Foundation , and a KL2 Scholar Scope grant. He has contributed to 29 research outputs, including editorials and peer-reviewed articles on topics like hepatic artery infusion chemotherapy and organoid-based treatment prediction .

• Complex Systems Science
• Artificial Intelligence
• Biomedical Engineering
• +۳ مورد دیگر

Prof. Rudolf Marcel Füchslin is a Professor at the ZHAW School of Engineering, specializing in Applied Complex Systems Science. His research spans interdisciplinary fields including biomedical engineering, quantum computing, medical physics, and data science. His work integrates computational modeling with practical applications in cancer therapy optimization, hyperthermia-radiation synergy, and quantum machine learning. He leads numerous projects involving advanced therapies, complex systems analysis, and AI-driven solutions. Notable projects include optimizing tumor control probability in hyperthermia-radiotherapy, developing quantum neural networks, and simulating droplet-based chemical systems. He has authored/co-authored over 50 peer-reviewed articles and edited books on topics like morphological computation and complex systems. Füchslin actively contributes to international conferences (e.g., ALIFE, ESHO) and collaborates with institutions globally. His research emphasizes translating theoretical models into real-world solutions, particularly in healthcare and engineering.

Chihray Liuمشاهده پروفایل

استاد

• Intensity-modulated radiation therapy (IMRT) delivery and verification
• Dose and machine output calculation
• Treatment planning optimization
• +۷ مورد دیگر

Chihray Liu is a Professor in the Department of Radiation Oncology at the University of Florida. His research focuses on advancing radiation therapy technologies, including IMRT delivery optimization, dose calculation, and quality assurance automation. He is also affiliated with the Biomedical Engineering (BME) Graduate Faculty. Key interests include: Dynamic wedge and multileaf collimator modeling Image-guided radiation therapy innovations Optical tracking systems for patient safety Benchmark datasets and treatment planning improvements No specific awards or grants are listed here, but his work emphasizes technical advancements in radiation oncology workflows and precision therapy.

• Applied Nuclear Physics
• Medical Physics
• Radiation Oncology
• +۵ مورد دیگر

Assoc Prof Jeremy Brown is an Associate Professor at Swinburne University of Technology's School of Science, Computing and Emerging Technologies, leading a research program in Applied Nuclear Physics since 2023. He holds a PhD from Monash University and has held postdoctoral positions at Queen's University Belfast (2015-2016) and Delft University of Technology (2017-2021), where he secured an NWO Veni Fellowship. His research focuses on imaging physics, Monte Carlo radiation transport, nuclear safety, radiotherapy, and space radiation effects. Education: PhD in Imaging Physics (Monash University, Australia). Postdoctoral research includes radiobiology (Queen's Belfast) and medical imaging at Delft University (Veni Fellowship recipient). Prior roles include Research Scientist at ARPANSA (2007-2009) and ANSTO (2021-2022). Research interests span medical physics applications of Geant4 simulations, radiation dosimetry, proton therapy optimization, space radiation exposure modeling, and collaborative projects with Philips Healthcare, ESA, and CNRS. His work emphasizes bridging computational physics with clinical and industrial applications. Key grants include an NWO Veni Fellowship (2017-2021) and recent projects like 'A portable dosimetry system for space radiation qualification' (2025) and 'Setting a national standard for radiotherapy treatment' (2025-2028). He collaborates with leading institutions like HollandPTC, ANSTO, and European agencies. Publications focus on Geant4 validation, radiation detector modeling, and radiobiological studies, with over 50 peer-reviewed articles. Notable contributions include the G4-Med benchmarking system and advancements in DNA damage simulation.