جست‌وجوی استاد و پژوهشگر

Shiqin Liuمشاهده پروفایل

استادیار مدعو

• Cancer Biology
• Molecular Oncology
• Biomarker Development
• +۷ مورد دیگر

Shiqin Liu is an Assistant Adjunct Professor at the University of California, Los Angeles (UCLA) in the Department of Molecular and Medical Pharmacology. As a clinician-scientist with translational focus, their work bridges clinical practice and cancer research through biomarker development and therapeutic innovation. MD, Central South University (2012) PhD in Oncology, Peking University (2017) Joint PhD, University of Miami (2016) Residency in Surgery, Central South University (2019) Postdoctoral Fellow, Stanford University (2019-2023) Postdoctoral Fellow, UCLA (2023) Their research focuses on identifying molecular drivers of cancer progression and developing clinical-grade diagnostic tools and therapies. Key areas include: Proteomics-based biomarker discovery for high-risk cancers Antibody-targeted therapies and imaging agents Mechanistic studies of neuroendocrine prostate cancer 3D tumor modeling and optical diagnostics Recent publications highlight their work on: Trop2 as a prognostic urinary biomarker for prostate cancer UCHL1's dual role in tumor growth and therapeutic targeting Novel drug targets like CDC7 and CXCR4/CB2 heterodimers Biofabrication techniques for cancer modeling Laboratory affiliations include: Stoyanova Lab at UCLA (2023-present) Stoyanova Lab at Stanford University (2019-2023)

Tess Killpackمشاهده پروفایل

دانشیار

• Biology Education
• Inclusive Pedagogy
• Experimental Design in STEM
• +۲ مورد دیگر

Tess Killpack is an Associate Professor in the Department of Biology at Salem State University. She specializes in biology education, focusing on skill-building in introductory courses, active and inclusive pedagogy, and faculty professional development for inclusive practices. Lead Faculty for Biology Secondary Education Biological Systems (BIO105) Course Coordinator Her research emphasizes pedagogical innovation, including equity-focused lab course redesign, scaffolding experimental design skills, and integrating inclusive teaching practices. She collaborates on projects involving DNA barcoding, remote-learning frameworks, and curriculum interventions for anti-racism in biology education. Her publications span biology education, ecological immunology, and environmental science, with recent work centered on inclusive teaching tools like First-Day Info Sheets and Deep Teaching Residency workshops. Key presentations include invited webinars and practitioner workshops at institutions like Howard Hughes Medical Institute and DePauw University. Scientific Awards : Editor’s Choice, Journal of Avian Biology (2013) She has delivered numerous refereed and invited presentations on inclusive pedagogy, including collaborations with Bryan Dewsbury on the Deep Teaching Residency program. Her teaching portfolio includes courses in DNA barcoding, biology internships, and methods of teaching secondary science.

Aleksey V. Smirnovمشاهده پروفایل

استاد

• Geomagnetism
• Paleomagnetism
• Geodynamics
• +۵ مورد دیگر

Aleksey V. Smirnov serves as Professor and Chair of the Department of Geological and Mining Engineering and Sciences at Michigan Technological University, with an additional affiliation as Professor of Physics. His research focuses on Earth's magnetic field evolution, geodynamics, and rock magnetism, leading the Earth and Environmental Magnetism Laboratory (EEML). PhD, University of Rochester, 2002 MS, University of Rochester, 2000 Postdoctoral, University of Rochester, 2002-2004 Postdoctoral, Yale University, 2005-2007 Smirnov's research explores the long-term evolution of Earth's magnetic field, geodynamics and global plate tectonics, magnetism of rocks and minerals, environmental magnetism, and development of new paleomagnetic techniques. His work connects magnetic field behavior to deep Earth processes and geological evolution. The Earth and Environmental Magnetism Laboratory he directs features state-of-the-art equipment including multiple SQUID magnetometers, thermal demagnetizers, and specialized measurement systems for comprehensive magnetic analysis. His recent publications reveal consistent focus on paleointensity studies across geological time, from the Hadean to the Ediacaran periods, with particular emphasis on geodynamo evolution, inner core formation, and connections between magnetic field behavior and planetary evolution. His work often bridges paleomagnetism with geodynamics, mineral physics, and planetary science. Fellow of the Geological Society of America Associate Editor for the Journal of Geophysical Research (2005-2021) Safe Place Ally Smirnov has mentored numerous graduate and undergraduate students through the Earth and Environmental Magnetism Laboratory. His research program combines field work, laboratory analysis, and theoretical modeling to investigate Earth's magnetic history. Current projects include studies of ancient magnetic fields, development of new measurement techniques, and investigations of planetary magnetic field evolution. The laboratory serves as a hub for both fundamental research and educational activities, supporting student research and collaborative projects. The Earth and Environmental Magnetism Laboratory (EEML) houses world-class instrumentation including multiple SQUID magnetometers within magnetically shielded rooms, thermal demagnetizers, alternating gradient field magnetometers, and specialized equipment for comprehensive rock magnetic analysis. The lab supports research on paleomagnetism, environmental magnetism, and development of new measurement techniques, serving as a regional resource for magnetic studies.

Mandana Arbabمشاهده پروفایل

استادیار

• Genome Editing
• Neurodegenerative Diseases
• Genetic Disorders
• +۳ مورد دیگر

Mandana Arbab is an Assistant Professor of Neurology at Harvard Medical School and leads the Arbab Lab at the Translational Neuroscience Center of Boston Children’s Hospital. Her research focuses on advancing genome editing platforms to study and treat neurodegenerative diseases , including spinal muscular atrophy (SMA), Huntington’s disease, and Friedreich’s ataxia. Research Interests Dr. Arbab’s work centers on developing precise CRISPR-based technologies , such as base editing and prime editing , to correct disease-causing mutations or modulate genomic activity. Her lab employs machine learning to optimize editing outcomes and explores therapeutic strategies in cellular and murine models. Publications Summary Recent studies highlight her innovations in C•G-to-G•C base editing , predictive algorithms for edit outcomes, and cloning-free CRISPR methodologies. Her work bridges genomic engineering and neurology , aiming to translate these tools into clinical applications. Labs & Collaborations The Arbab Lab, based at Boston Children’s Hospital, fosters a diverse and collaborative environment. With a team of 5-10 members, they partner with institutions to develop gene-based therapeutics and investigate cellular mechanisms of neurodegeneration . Contact: mandana.arbab@childrens.harvard.edu | arbablab.com

• Computational Physiology
• Biomechanics
• Cardiac Electromechanics
• +۷ مورد دیگر

Joakim Sundnes is a Chief Research Scientist and Research Professor at the Department of Scientific Computing, Simula Research Laboratory. He specializes in computational physiology, cardiac biomechanics, and mathematical modeling of cardiovascular systems. Key Research Areas: Cardiac electromechanics, computational fluid dynamics in cardiology, uncertainty quantification in cardiac models, and mechano-electric feedback mechanisms Recent Trends: Focus on patient-specific modeling, left atrial flow dynamics, right ventricular mechanics in pulmonary hypertension, and personalized treatment simulations Scientific Contributions: Active participant in international conferences and editorial work. Co-author of multiple benchmark studies and educational texts on physiological modeling.

• Machine Vision
• Computer Vision
• Deep Learning
• +۳ مورد دیگر

Melvyn L. Smith serves as Professor of Machine Vision and Director of the Centre for Machine Vision (CMV) at the University of the West of England (UWE), where he has held academic positions since completing his Ph.D. in 1997. His leadership extends to editorial roles for four international journals including Computers in Industry , and he contributes to national research strategy as a member of the EPSRC Peer Review College (since 2003) and NERC College (since 2020). His educational qualifications include: B.Eng. (Hons) in Mechanical Engineering from University of Bath (1987) M.Sc. in Robotics and Advanced Manufacturing Systems from Cranfield Institute of Technology (1988) Ph.D. from University of the West of England (1997) Professor Smith's research centers on machine vision and deep learning applications across diverse domains. He pioneers computer vision solutions for agricultural challenges including crop monitoring, plant phenotyping, and insect welfare assessment, while simultaneously advancing medical diagnostics through neuroimaging analysis for multiple sclerosis, diabetes prediction frameworks, and cardiac health studies. His work consistently bridges theoretical innovation with real-world deployment, evidenced by patents in photometric stereo imaging and optical devices for industrial applications. Analysis of his 15 most recent publications (2021-2025) reveals a strategic expansion into interdisciplinary problem-solving, with 60% focused on agricultural robotics and 30% on medical applications. Key methodological trends include convolutional neural networks for low-resolution image analysis, 3D reconstruction techniques for plant phenotyping, and machine learning frameworks for clinical diagnostics – all emphasizing robustness in uncontrolled environments. His scientific recognition includes: Fellow of the Institution of Engineering and Technology (FEIT) As Director of CMV, Professor Smith mentors early-career researchers and leads collaborations with InnovateUK and industry partners. His grant portfolio includes EPSRC-funded projects in machine vision for outdoor environments and NERC-supported environmental monitoring systems, with recent work securing patent protection for crop monitoring apparatus. He actively assesses research proposals for UKRI councils and advises government bodies on agricultural robotics strategy. The Centre for Machine Vision operates as a hub for cross-sector innovation, partnering with agri-tech firms on precision farming systems and healthcare providers on diagnostic imaging tools. Current initiatives include the EU-funded 'Agricultural Robotics' white paper implementation and development of contactless 3D biometric identification systems for transportation infrastructure.

• Physical Activity Promotion
• Chronic Disease Management
• Type 2 Diabetes Prevention
• +۶ مورد دیگر

Bhibha Mayee Das is an Associate Professor in the Department of Kinesiology at East Carolina University's College of Health and Human Performance. With a translational research focus bridging practice and research, she develops sustainable physical activity interventions for chronic disease management among college students, workplaces, and underserved populations. Member of American College of Sports Medicine Active in National Association of Chronic Disease Directors (2016-2023) Recipient of multiple ECU teaching and research awards Her research emphasizes type 2 diabetes prevention , community-based health programs , and workplace wellness initiatives , particularly for African American women and university staff. Recent publications highlight innovative interventions involving music therapy for caregivers and digital health promotion strategies. Awardees include: 2018-2019 Scholar-Teacher Award 2018 Campus Living Honored Instructor 2017 Pioneer Spirit Award 2016 Mentor Award Nominee She has secured multiple NIH and foundation grants for interventions including Project MOMS , Soul FOOD , and MY CARE programs targeting Parkinson's caregivers. Her teaching integrates service-learning models with community partnerships, particularly involving shelter dogs for student wellness programs.

Susanne Gerberمشاهده پروفایل

استاد

• Bioinformatics
• Computational Genomics
• Systems Biology
• +۲ مورد دیگر

Susanne Gerber is a Professor at iDNA and Adjunct Director at the Institute of Molecular Biology (IMB), Johannes Gutenberg University Mainz (JGU), affiliated with the Faculty of Biology's Bioinformatics department. Her academic journey includes an Assistant Professorship in Bioinformatics at JGU (2015-2020) and postdoctoral research at Università della Svizzera italiana. Her educational background comprises a PhD in Biophysics from Humboldt University of Berlin (2011), an M.Sc. in Bioinformatics from Free University of Berlin and Konrad Zuse Institute (2007), and a B.Sc. in Bioinformatics from Free University of Berlin and Max Planck Institute (2004). Dr. Gerber's research spans Bioinformatics, Computational Genomics, Systems Biology, Molecular Evolution, and Neuroinformatics , focusing on developing computational frameworks for genomic analysis, neurodegenerative disease modeling, and microbiome interactions. Her work integrates machine learning with multi-omics data to address complex biological questions in molecular evolution and neural systems. Analysis of her 15 most recent publications (2024-2025) reveals a strong emphasis on nanopore sequencing applications for RNA modification detection, deep learning frameworks for genomic data enhancement, and neurobehavioral modeling using AI-driven approaches. Key thematic clusters include epitranscriptomics, chromatin dynamics, and computational psychiatry with ethical AI considerations. Her methodological innovations include tools like COMET for network analysis, CCUT for chromatin data enhancement, and ModiDeC for RNA modification classification, demonstrating translational impact across genomics and neuroscience. Dr. Gerber leads research groups at IMB and iDNA focusing on computational genomics, advising students in bioinformatics and securing grants for AI-driven genomic analysis. Her labs develop open-source tools for nanopore data processing and neuroimaging analysis, fostering collaboration between computational and experimental biologists.

Thiago Cavalcanteمشاهده پروفایل

پژوهشگر

• Environmental Science
• Ecology
• Biodiversity Conservation
• +۷ مورد دیگر

Thiago Cavalcante is a Postdoctoral Researcher at the Biodiversity Informatics Unit of the Conservation Informatics Research Group at the University of Helsinki. His work focuses on environmental science, ecology, and biodiversity conservation, particularly in the Amazon biome and primate habitats. He actively contributes to projects like NaturaConnect , designing resilient conservation networks in Europe. Research Areas: Spatial conservation planning, climate change impacts, primate ecology, invasive species, and interspecific competition. Methodologies: Geospatial modeling, ecological niche modeling, and behavioral studies. Recent Publications: Focus on Amazonian primates, conservation prioritization, and data-driven ecological assessments (2016-2025). His research integrates geospatial abundance data and ecological models to address conservation challenges, often emphasizing underrepresented factors like interspecific competition. He collaborates with multidisciplinary teams across Europe and the Amazon, leveraging computational tools to enhance conservation strategies.

Ray Owensمشاهده پروفایل

استاد

• Protein Engineering
• Structural Biology
• Cryo-Electron Microscopy
• +۴ مورد دیگر

Professor Ray Owens leads Protein Production UK (PPUK), a program within the Rosalind Franklin Institute focused on protein engineering and production at the University of Oxford. His work develops innovative methods for protein expression through the Oxford Protein Production Facility pipeline, with applications in structural biology and therapeutic development. His research spans protein engineering, structural biology, and nanobody technology with particular emphasis on membrane protein production and stabilization. Using cryo-EM and advanced expression systems across microbial, insect, and mammalian cells, his team develops tools for structural analysis and therapeutic applications, especially targeting respiratory viral diseases. His recent publications (2021-2023) demonstrate expertise across structural biology, virology, and protein engineering, with significant contributions to understanding membrane protein transport, SARS-CoV-2 neutralization, and bacterial biofilm mechanisms. The work shows a clear trajectory toward therapeutic applications of structural insights. Professor Owens mentors student Matthew Tang and collaborates extensively across structural biology and virology research domains. His work receives support through the Rosalind Franklin Institute's Structural Biology theme, enabling partnerships with both academic groups and industry for technology development and translation. His laboratory specializes in nanobody generation for membrane protein stabilization and develops diagnostic/therapeutic binding agents for respiratory viral diseases, operating at the intersection of academic research and clinical applications.

• International Economics
• Agricultural Economics
• Rural Development
• +۳ مورد دیگر

Daniel Kolev Dimanov is a Senior Lecturer at the Department of Economic Theory and International Economic Relations, Faculty of Economics, University of Veliko Tarnovo. His primary affiliations include full-time academic responsibilities focused on economics research and education. Dimanov's research centers on international economics, agricultural trade dynamics, and rural development strategies within Bulgaria and the EU context. His work examines comparative advantages in trade, socio-economic transformations in rural regions, and the impact of public services on local economies. Key thematic areas include EU policy implementation, digital solutions for rural sustainability, and economic analysis of agricultural systems. His publications demonstrate a consistent focus on trade patterns, rural assessment methodologies, and economic education. Recent works emphasize the E-SMART framework for evaluating rural development, analysis of Bulgaria's agricultural trade competitiveness, and textbooks on macroeconomic/microeconomic principles. Publication trends show interdisciplinary integration of economic theory with environmental and social policy considerations. Dimanov leads significant research projects including: Digital and Ecological Solutions for Rural Development (2024): Developing transferable EU best practices for Bulgarian rural areas E-SMART Methodology Implementation (2023): Creating assessment tools for rural socio-economic risks Socio-Economic Compass for Rural Areas (2022): Analyzing post-pandemic recovery frameworks He coordinates interdisciplinary teams of researchers, PhD candidates, and students across economics and social sciences.

Rune W. Bergمشاهده پروفایل

دانشیار

• Functional Neuronal Networks
• Sensory and Motor processing
• Complex physics
• +۳ مورد دیگر

Rune W. Berg is an Associate Professor in the Promotion Programme at the Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen. He leads the Berg Lab with research focused on Neuronal Signalling and maintains an active research profile with 66 publications to date. Dr. Berg's educational background includes a Ph.D. in Biophysics from the University of California, San Diego (2003), an M.S. in Physics from UC San Diego (2000), and Cand. Scient. and B.Sc. degrees in Biophysics from the Niels Bohr Institute at the University of Copenhagen (2000 and 1997 respectively). His research interests span Functional Neuronal Networks, Sensory and Motor processing, and Complex physics. The Berg Lab investigates neural signaling mechanisms with a strong emphasis on developing novel technologies for neural interfacing and brain research. Recent work demonstrates an interdisciplinary approach combining neuroscience, physics, and engineering to create advanced tools for neural monitoring and modulation. Analysis of Dr. Berg's recent publications reveals a strong focus on neural engineering technologies, particularly optical and electromagnetic approaches for brain research. His work bridges fundamental neuroscience with practical engineering solutions for neural interfaces, with applications in understanding brain function and developing neural prosthetics. The research spans from molecular-level interactions to circuit-level neural dynamics. Dr. Berg has participated in specialized training workshops including 'Construction of the brain' at Kristineberg Marine research station, 'Neurophysics' at the Institute of Theoretical Physics in Santa Barbara, and 'Neuron as a nonlinear oscillator' at the Salk Institute. His professional experience includes continuous work since January 2004 as a Post Doctoral member of Jorn Hounsgaard's Lab at the University of Copenhagen, following a Visiting Post Doctoral fellowship at Taipei Veterans General Hospital and National Yang-Ming University in Taiwan (September-December 2003).

• AI Ethics
• Computer Vision
• Large Language Models
• +۵ مورد دیگر

Taha Mansouri is a Lecturer in Artificial Intelligence at the University of Salford's School of Science, Engineering & Environment. He leads the High Performance Computing facilities within the school and chairs the Salford AI Club, an inclusive community focused on AI applications in Higher Education. Mansouri holds dual PhDs - one in Artificial Intelligence and Deep Learning from the University of Salford and another in Information Technology Management from Allameh Tabataba'i University in Iran. His research interests span multiple critical areas in modern AI development, with particular emphasis on ethical considerations in AI systems. Mansouri actively investigates fairness, explainability, and transparency in AI algorithms, with specific focus on computer vision systems and large language models. His work addresses bias in facial emotion detection across age, gender, ethnicity, and cultural backgrounds, highlighting important concerns about equity in automated systems. Mansouri's recent publications demonstrate a strong trend toward practical applications of AI for social good, including detecting mold in social housing, ethical compliance in legal AI systems, and developing AI-resilient assessment tools for education. His research bridges theoretical AI development with real-world implementation challenges across healthcare, education, and industrial applications. Fellowship of the Higher Education Academy Senior Fellowship of the Higher Education Academy Mansouri actively supervises multiple PhD students working on diverse AI applications and leads significant research projects including the £500,000 Innovate UK Smart Grant-funded Expert Legal Intelligence (ELI) project. He serves on prestigious review panels including the EPSRC Peer Review College, the EDI Hub+ Flexible Fund Peer Review College, and the British Council's International Science Partnerships Fund Review College. His grant portfolio includes projects on ethical ASR models (£30,000 collaboration), WATCH-AI benchmarking tools, and inclusive AI emotion recognition systems. As leader of the High Performance Computing facilities, Mansouri supports interdisciplinary research across the university. He also chairs the Salford AI Club, fostering collaboration among individuals from diverse backgrounds interested in AI applications, particularly in Higher Education.

• Formal Methods
• Software Engineering
• Verification and Validation
• +۳ مورد دیگر

Idir Ait-Sadoune serves as a Lecturer in Data Engineering at ISAE-ENSMA, France, where he is an active member of the Data Engineering Team within the LIAS laboratory. His academic position includes temporary teaching and research responsibilities (ATER) focused on formal methods and software engineering applications. He earned his PhD in 2010 from ENSMA with a dissertation titled Modélisation et Vérification Formelles de Compositions de Services. Une Approche Fondée sur le Raffinement et la Preuve , establishing his expertise in formal verification techniques. His educational background centers on computer science with specialization in formal modeling and system validation. Ait-Sadoune's research spans critical domains in computer science, with particular emphasis on: Formal Methods : Pioneering applications of Event-B for system specification and verification Software Engineering : Advancing web services composition and data repository design Human-Computer Interaction : Developing formal models for multimodal interactive systems Verification & Validation : Creating proof-based approaches for system correctness His publication trajectory from 2006-2018 reveals consistent innovation in formal techniques, particularly through Event-B methodology applied to web services and multimodal interfaces. The research demonstrates strong interdisciplinary connections between theoretical formal methods and practical software engineering challenges, with increasing focus on data engineering applications in later works. Within the LIAS laboratory ecosystem, Ait-Sadoune collaborates with Automatic Control and Real Time teams, contributing formal verification expertise to cross-disciplinary projects while maintaining his core focus on data-intensive system engineering.

Yves Rybarczykمشاهده پروفایل

استاد

• Human-Machine Interaction
• Telepresence and ownership
• Ergonomics
• +۱۰ مورد دیگر

Yves Rybarczyk is a Professor at Nova University of Lisbon (Portugal). He holds a PhD in NeuroRobotics from the University of Evry (France), awarded in 2004 for his work on modeling human-like behaviors to enhance Human-Robot Cooperation in teleoperation. His research focuses on Human-Machine Interaction, Robotics, and Serious Games applied to health and education. His group develops adaptive games for science education and assistive technologies for motor and cognitive disabilities. Education: PhD in NeuroRobotics, University of Evry (France), 2004. Research Interests: Telepresence, Ergonomics, and Sensorimotor Loop Assistive & Rehabilitation Technologies Robotics (Biologically-inspired, Animal-Robot Interaction) Serious Games and Embodied Cognition Professional Roles: Steering committee member of eNTERFACE workshops on Multimodal Interactions; reviewer for top journals/conferences. Projects & Outputs: Over 50 peer-reviewed articles, interactive educational/rehabilitation tools, and participation in national/international research projects.