جست‌وجوی استاد و پژوهشگر

• Nuclear Medicine
• Neuroscience
• Radiology
• +۷ مورد دیگر

Krista Fowles is a Researcher affiliated with the PET Center at the Yale School of Medicine, Yale University. Her work focuses on advancing positron emission tomography (PET) imaging techniques and radiotracer development for neuroscience, pharmacology, and translational medicine. Key research areas include synaptic density assessment via SV2A imaging, receptor-specific PET probes (e.g., mGlu5, S1P1, serotonin transporters), and applications in neurological disorders such as PTSD, addiction, and neurodegeneration. Her research employs nonhuman primate models and translational approaches to study drug mechanisms (e.g., ketamine), synaptic plasticity, and neuroinflammatory processes. Collaborations with experts like Richard Carson, Daniel Holden, and Irina Esterlis highlight her interdisciplinary work in radiology, pharmacology, and molecular biology. Publications emphasize radiotracer synthesis, PET kinetic modeling, and preclinical-to-clinical translation, with a focus on neuropharmacological targets and biomarker development for conditions like spinal cord injury, cocaine addiction, and traumatic stress responses.

• Chemical Biology
• Metabolic Diseases
• Diabetes Research
• +۳ مورد دیگر

Pol Hernández Lladó is a Novo Nordisk Postdoctoral Research Fellow at the University of Oxford. His research focuses on developing novel molecular tools to investigate biological systems, with particular emphasis on discovering therapeutic targets for metabolic diseases like diabetes. His current work involves creating a molecular toolkit for selective labeling of endogenous GLUT4 to study its trafficking and interactome in collaboration with Novo Nordisk. Dr. Hernández Lladó's research bridges chemical biology and medical science, aiming to identify molecular targets that can modulate glucose transport systems. His investigations into GLUT4 trafficking disruptions associated with type 2 diabetes and obesity may lead to new therapeutic interventions for metabolic disorders.

Siddharth Deyمشاهده پروفایل

دانشیار

• Single-cell sequencing technologies
• Epigenetic regulation of gene expression
• Cell fate decisions
• +۵ مورد دیگر

Siddharth Dey is an Associate Professor in both the Department of Bioengineering and the Department of Chemical Engineering at the University of California, Santa Barbara. His research focuses on developing novel single-cell sequencing technologies to study epigenetic regulation of gene expression and cell fate decisions. The Dey Lab investigates mechanisms underlying DNA methylation dynamics, cancer cell invasion, and HIV latency using advanced multiomics approaches and 3D organoid models. He leads the Dey Lab , which integrates synthetic biology, optogenetics, and computational modeling to understand cellular heterogeneity and disease processes. Key research areas include: (1) Single-cell multiomics integration, (2) Epigenetic regulation during human development, (3) Mechanotransduction in cancer progression, and (4) Engineering tools for bacterial transcriptomics. Recent work demonstrates breakthroughs in simultaneous profiling of 5mC/5hmC modifications with transcriptomes, enabling unprecedented insights into epigenetic maintenance fidelity and cellular decision-making. His research is supported by grants including the NSF CAREER award (2024) for spatial epigenetic studies in human development. The lab actively collaborates on projects involving photopatterning technologies, stress response signaling, and HIV latency therapies. Experimental approaches combine cutting-edge sequencing methods with microfluidics-based platforms to study cellular responses in physiologically relevant 3D environments. Publications highlight contributions to understanding: (1) DNA methylation erasure in germ cells, (2) YAP-driven cardiac hypertrophy mechanisms, (3) macrophage priming via Fc receptors, and (4) bacterial mRNA sequencing innovations. These studies bridge engineering principles with fundamental biological mechanisms to address critical questions in development, cancer biology, and infectious diseases.

• Materials Science
• Nanotechnology
• Biomedical Engineering
• +۵ مورد دیگر

Dr. Benjamin Noble is a Research Fellow in the School of Engineering at RMIT University. His research focuses on materials modeling, nanotechnology, biomaterials, and computational chemistry. He is open to supervising Masters and PhD students and can be contacted at benjamin.noble2@rmit.edu.au . His research interests include the design of functional materials, such as dynamic metal-phenolic networks and sequence-defined macromolecules, as well as the application of multiscale molecular simulations to study electromagnetic bioeffects and biomolecular interactions. He collaborates with industry partners like BlueScope to develop advanced materials for biomedical and industrial applications. Dr. Noble’s recent work emphasizes polymer synthesis methodologies (e.g., RAFT polymerization), drug delivery systems, and the development of contamination-resistant surfaces. His studies also explore photochemical reactivity prediction and mitochondrial uncouplers for pharmacological applications. He contributes to the Materials Modelling and Simulation Group led by Distinguished Professor Irene Yarovsky, which investigates nanomaterials for biomedicine and industry. The group’s research has led to innovations in drug delivery materials, biosensors, and sustainable surfaces.

Melody Morrisمشاهده پروفایل

استادیار

• Sustainable Polymers
• Proteins as Polymers
• High-Throughput Materials Development
• +۵ مورد دیگر

Melody Morris is an Assistant Professor in the Department of Polymer Science and Engineering at the University of Massachusetts Amherst . Her research focuses on developing sustainable macromolecular materials through automated and high-throughput methodologies combined with advanced physical characterization. She leads the Morris Research Group, which bridges polymer science, protein engineering, and automation to address challenges in material sustainability and functionality. Education: B.S. Chemical Engineering, California Institute of Technology (2013) Ph.D. Chemical Engineering, University of Delaware (2019) Research Interests: Her work emphasizes proteins as polymers, sustainable polymers, high-throughput tool development, polymer biodegradation, and self-assembled systems. She aims to create next-generation biomaterials, nanoreactors, and membranes by integrating protein and synthetic polymer systems. Recent projects include ion-conducting bio-based polymers, toxin-binding hydrogels, and canonicalizing BigSMILES notation for polymer informatics. Research Trends from Publications: A recurring theme in her articles is the optimization of materials via high-throughput screening, with a focus on functional polymers for energy storage (e.g., lithium-ion batteries), environmental applications, and smart responsive materials. Her work often combines computational modeling with experimental validation to predict and enhance material properties. Labs & Affiliations: Morris's lab is part of the Sylvio O. Conte National Center for Polymer Research , fostering interdisciplinary collaboration in polymer science. The group actively seeks students passionate about macromolecular engineering, automation, and sustainable materials design.

• Distributed computing and systems software
• Data management and data science
• Electronics, sensors and digital hardware
• +۷ مورد دیگر

Assoc. Prof. Ali Yavari is an Associate Professor of Computer Science at Swinburne University of Technology's School of Science, Computing and Emerging Technologies. He also serves as Director of the 6G Research and Innovation Lab and Radiofrequency Lab. His academic journey includes a PhD in Computer Science from RMIT University (Australia) and a Master's in Communication Systems from KTH Royal Institute of Technology (Sweden). His research focuses on IoT, Cyber-Physical Systems (CPS), 5G/6G communication technologies, renewable energy systems, and health informatics. He leads collaborative projects funded by entities like Future Energy Exports CRC, Australian Radiation Protection & Nuclear Safety Agency (ARPANSA), and the Victoria State Government. Notable contributions include developing AI-driven IoT platforms for environmental monitoring (e.g., ArtEMon) and cybersecurity frameworks for Industry 4.0. Key achievements include the Victoria Fellowship in Physical Sciences (2020), Vice-Chancellor’s Research Excellence Awards (2021, 2023), and a Best Paper Award at the Hawaii International Conference on System Sciences. His work spans over 65 publications in top journals/conferences such as IEEE Sensors , Sustainable Energy Technologies and Assessments , and Environmental Research . Professional activities include program committee roles at IEEE conferences and memberships in ACM and IEEE (Senior Member). He actively supervises PhD candidates and teaches courses in IoT programming and advanced computing topics.

• Organic Synthesis
• Total Synthesis of Natural Products
• Singlet Oxygen Chemistry
• +۴ مورد دیگر

Georgios Vassilikogiannakis is a Full Professor in the Department of Chemistry at the University of Crete, Greece, where he leads innovative research in sustainable organic synthesis. His work focuses on harnessing singlet oxygen chemistry and photochemical methods to develop environmentally benign synthetic routes for complex molecules. Education: PhD in Organic Chemistry, University of Crete (1998) Professor Vassilikogiannakis' research centers on total synthesis of bioactive natural products and the sustainable application of singlet oxygen. His group pioneers continuous flow reactor systems for gas-liquid photochemical reactions, significantly advancing green synthesis principles. Current work integrates photocatalysis, organocatalysis, and singlet oxygen chemistry to construct high-value alkaloid and heterocyclic frameworks with exceptional atom economy. His publication record demonstrates a clear evolution toward multiphotocatalyst cascades and sustainable methodologies, particularly in furan photooxygenation for alkaloid synthesis. Recent work emphasizes sp 3 -rich scaffold construction and bioconjugation techniques, maintaining strong focus on step-economy and environmental impact reduction. Scientific Awards: ERC Consolidator Grant Professor Vassilikogiannakis directs an active research group funded by the European Research Council, mentoring graduate students in advanced synthetic techniques. His laboratory develops novel continuous flow photoreactors and sustainable oxidation methodologies, with applications spanning medicinal chemistry and natural product synthesis. The Vassilikogiannakis Group operates from state-of-the-art laboratories at the University of Crete's Vasilika Vouton campus, specializing in photochemical reaction engineering and cascade sequence design for complex molecule synthesis.

• Structural Geology
• Active Tectonics
• Paleoseismology
• +۳ مورد دیگر

Assoc. Prof. Şule Gürboğa is affiliated with the Department of Geological Engineering at Istanbul Technical University's Faculty of Mines. Her research focuses on structural geology, active tectonics, and paleoseismology, with a particular emphasis on fault zone dynamics, seismic hazards, and neotectonic processes in Anatolia. She holds memberships in the American Geophysical Union (AGU), European Geosciences Union (EGU), and the Chamber of Geological Engineers. Education: Integrated PhD in Geological Engineering from Middle East Technical University (2003–2011), BSc in Geological Engineering from Ankara University (1996–2000). Additional professional training includes a degree from the National Graduate Institute for Policy Studies (2007–2008). Research interests span fault kinematics, earthquake mechanisms, and climate-geology interactions. Her work integrates field studies, remote sensing (e.g., InSAR), and geochemical analyses to unravel tectonic processes in regions like the North Anatolian Fault and the Marmara Sea. Recent studies include investigations of the 2023 Kahramanmaraş earthquakes and paleoseismic records from Anatolian lakes. Professional roles include serving as an Engineer at the Ministry of Energy and Natural Resources since 2015, and prior experience in disaster management with the Disaster and Emergency Management Directorate (2012–2015). She has contributed to over 25 peer-reviewed articles and actively participates in international geoscience collaborations.

John Haywardمشاهده پروفایل

پژوهشگر

• Chemistry
• Drug Design
• Cancer Research
• +۳ مورد دیگر

John Hayward is a Researcher in the Department of Chemistry at the University of Windsor's Faculty of Science. His work spans synthetic chemistry, drug design, and cancer research, with a focus on prostate cancer diagnostics and therapies. Notably, he contributed to the development of imaging agents and anti-cancer vaccines, leveraging techniques like fluorescent probes and boron neutron capture therapy. He also participated in interdisciplinary efforts to enhance lab safety and equity initiatives, earning recognition as an EDI Awards Celebration honoree in 2024. Research interests include the synthesis of bioactive compounds, such as psychedelics and cancer-targeting agents, alongside advancements in materials science and diagnostic tools. His collaborations with industry and academic partners highlight his commitment to bridging laboratory innovation with real-world applications. EDI Contributions: Honored for promoting equity, diversity, and inclusion on campus. Key Technologies: Developed hand sanitizer formulas during the pandemic, advancing practical solutions to public health challenges.

Tom Johnstenمشاهده پروفایل

استاد

• Data Mining Algorithms
• Computational Biology
• Machine Learning Applications

Dr. Tom Johnsten is a Professor in the Computer Science Department at the University of South Alabama, part of the School of Computing. He holds a Ph.D. in Computer Science from the University of Louisiana at Lafayette (1998), an M.S. in Computer Science from Arizona State University (1992), and a B.S. in Mathematics from Oklahoma State University (1987). His research focuses on developing data mining algorithms, computational biology, and applying machine learning technologies to interdisciplinary challenges. His work bridges computational methods with biological systems, cybersecurity, and environmental data analysis. Notable contributions include advancements in DNA repair mechanisms, anomaly detection in data streams, and prescriptive maintenance frameworks. He has taught courses such as Digital Logic and Computer Architecture, Operating Systems, Programming Language Theory, and Data Mining. His office is located in Shelby Hall, Room 1119, with regular office hours on Tuesdays and Thursdays. Dr. Johnsten’s publications reflect a strong emphasis on cybersecurity, bioinformatics, and data-driven solutions. He has explored topics like mitochondrial DNA repair, robotic system security, and synthetic signal peptide design. While no scientific awards are explicitly listed, his extensive publication record highlights sustained academic contribution. Teaching and advising roles include mentoring students through courses like Research Methodologies and Database Design. His work integrates theoretical computer science with practical applications in diverse fields.

Jörg Henselerمشاهده پروفایل

استاد

• Structural Equation Modeling
• Partial Least Squares Path Modeling
• Composite-Based Structural Equation Modeling
• +۸ مورد دیگر

Prof. Dr. Jörg Henseler is Full Professor and Chair of Product–Market Relations at the Department of Design, Production and Management, Faculty of Engineering Technology, University of Twente, Netherlands. He also holds visiting positions at NOVA Information Management School, Universidade Nova de Lisboa, Portugal, and as Distinguished Invited Professor at the University of Seville, Spain. University: University of Twente School: Faculty of Engineering Technology Department: Department of Design, Production and Management Chair: Product–Market Relations Visiting Professor: NOVA Information Management School, Portugal Distinguished Invited Professor: University of Seville, Spain His research focuses on composite-based structural equation modeling (SEM) , particularly partial least squares (PLS) path modeling , emergent variables , and methodological innovations in empirical research. He bridges design and behavioral sciences through advanced statistical modeling, with applications in marketing, management, and information systems. His recent publications emphasize methodological rigor in PLS-SEM, including consistent PLS (PLSc) , confirmatory composite analysis (CCA) , HTMT for discriminant validity , and second-order modeling . These works highlight trends toward improved model assessment, validity testing, and theoretical integration in composite-based approaches. Highly Cited Researcher by Clarivate/Web of Science Ranked among the top 100 most influential researchers in the Stanford/Elsevier Top 2% Scientists List 2024 Repeated 'Teacher of the Year' award recipient Prof. Henseler contributes extensively to the scientific community as a reviewer, editorial board member, and guest editor. He chairs the scientific advisory board for the ADANCO software and organizes the PLS School , offering seminars on PLS path modeling. He has authored over 130 journal articles and the authoritative book Composite-Based Structural Equation Modeling . His work supports researchers in applying robust, theory-driven methods in empirical studies. He leads methodological innovation in composite-based modeling, with strong ties to software development and global academic outreach. His research group and collaborations focus on advancing SEM techniques for complex, real-world applications in business and engineering contexts.

• Medical Oncology
• Lung Cancer
• Mesothelioma
• +۶ مورد دیگر

Professor Michael Lind is a Foundation Professor of Oncology at the University of Hull and Head of the Joint Centre for Cancer Studies . With 35 years in medical oncology (25 as a consultant), he focuses on lung cancer, mesothelioma, oncogeriatrics, and translational research. Chairs National Cancer Registration and Analysis Service lung group for Public Health England Leads projects on physical activity interventions, geriatric assessment, and cancer care equity Supervises 10 completed PhD/MDs and 1 current PhD/MD Research Trends: Recent works span precision oncology (EGFR mutations), healthcare disparities (geographical/socioeconomic), palliative interventions (venting gastrostomy), and pandemic-related cancer care disruptions. Keywords include Lung Cancer, Mesothelioma, Geriatric Assessment, Health Equity, Palliative Care . Labs & Collaborations: Works with the Institute for Clinical and Applied Health Research (ICAHR) and Hull Molecular Imaging Centre (HuMic) .

Emily Camelioمشاهده پروفایل

استادیار

• Organic Chemistry
• Synthetic Chemistry
• Natural Product Synthesis
• +۵ مورد دیگر

Emily Camelio is an Assistant Professor of Chemistry and Biochemistry in the College of Innovation and Technology at the University of Michigan-Flint. Her research integrates synthetic organic chemistry with biological evaluation, focusing on complex natural products and their analogs. She is actively involved in mentoring undergraduate and graduate researchers. Education: Ph.D. in Organic Chemistry, Michigan State University, 2021 B.Sc. in Chemistry, Saginaw Valley State University, 2017 Her research interests center on synthetic organic chemistry , particularly in the stereocontrolled synthesis of bioactive natural products like hexocannabitriol. She explores reaction mechanisms and structural modifications to enhance biological activity. Her work bridges methodology development and chemical biology , aiming to create novel therapeutic leads. The recent articles highlight a strong focus on the synthesis and functional analysis of cannabinoid-related compounds, with emerging trends in antimicrobial and antioxidant evaluation. The work demonstrates expertise in total synthesis, stereochemical control, and biological testing of synthetic analogs. Scientific Awards: No awards listed in the provided text. Emily Camelio is the Principal Investigator on an NSF-funded LEAPS-MPS grant for developing an innovative platform to access hexocannabitriol and its analogs. She actively mentors students, including Madison Gilmore, Hillary LeGrande, and others, guiding them in research projects spanning synthesis and biological assessment. The grant supports interdisciplinary training and scientific innovation. Her research is conducted within the Chemistry Department at the University of Michigan-Flint, likely involving an undergraduate-focused research lab where students contribute to poster presentations and collaborative scholarly work.

• Medical Imaging
• PET/CT Imaging
• Quantitative Image Analysis
• +۵ مورد دیگر

Drew A. Torigian is a Professor of Radiology at the Perelman School of Medicine, University of Pennsylvania, with extensive contributions to medical imaging research. His work focuses on developing advanced methodologies for PET/CT image analysis, disease quantification, and anatomical segmentation through innovative applications of deep learning and computer vision techniques. Dr. Torigian's research interests span multiple critical areas in medical imaging including quantitative image analysis, PET/CT applications, deep learning in medicine, radiation therapy planning, and anatomical segmentation. His work has significantly advanced the field of medical image analysis through the development of novel algorithms for disease quantification without explicit object delineation, standardized anatomic space frameworks, and attention-based neural networks for medical image interpretation. His recent publications demonstrate a strong trend toward integrating artificial intelligence with medical imaging, particularly in developing gaze-guided neural networks, geographical attention mechanisms, and hybrid transformer-convolutional architectures for improved medical image analysis. These works consistently address critical challenges in radiology including disease quantification, anatomical segmentation, and the development of clinically interpretable AI models. Dr. Torigian has received recognition through his substantial publication record in top-tier medical imaging venues including Medical Image Analysis, IEEE Transactions on Biomedical Engineering, and leading medical imaging conferences. His research has been consistently funded through various mechanisms supporting innovation in medical imaging technology. Through his mentorship and collaborative research, Dr. Torigian has contributed to advancing the field of medical imaging with practical applications in radiation therapy planning, disease quantification, and the development of standardized methodologies for image analysis. His work bridges the gap between computer science innovation and clinical radiology applications.

Reiko Tanakaمشاهده پروفایل

استاد

• Systems Biology
• Computational Systems Medicine
• Dermatology
• +۶ مورد دیگر

Professor Reiko Tanaka is a Professor of Computational Systems Biology & Medicine at Imperial College London's Department of Bioengineering (Faculty of Engineering). Her research focuses on understanding biological control systems through mathematical and computational approaches, with applications in dermatology, allergy, and systems medicine. She leads the Tanaka Group, which develops tools like EczemaNet (AI-driven eczema assessment) and EczemaPred (severity prediction framework). Her work integrates systems biology, machine learning, and synthetic biology to address diseases like atopic dermatitis, asthma, and fungal infections. Education & Career: PhD in Mathematical Engineering from the University of Tokyo Assistant Professor at Keio University Visiting Associate at Caltech under John Doyle Research Scientist at RIKEN's Biological Control Systems Lab Research Interests: Her lab explores: - Computational modeling of skin barrier dysfunction in eczema - AI-driven dermatology diagnostics - Fungal pathogenesis and antifungal resistance - Systems biology of epithelial barriers Using methodologies like mechanistic modeling, Bayesian inference, and deep learning. Grants & Collaborations: Funded by British Skin Foundation, NIHR, Asthma+Lung UK, and UKRI. Collaborations include Imperial's Microbiome Network, Artificial Intelligence Network, and Leverhulme Centre for the Holobiont. Labs & Teams: The Tanaka Group includes researchers in systems biology, machine learning, and synthetic biology. Notable alumni have advanced to roles in academia and industry.