جست‌وجوی استاد و پژوهشگر

Jacek P. Dmochowskiمشاهده پروفایل

دانشیار

• Machine Learning
• Brain-Computer Interfaces
• Signal Processing
• +۶ مورد دیگر

Jacek P. Dmochowski is an Associate Professor of Biomedical Engineering at the City College of New York (CCNY) and Vice President of Machine Learning at Optios, a neurotechnology startup. His research bridges electrical engineering and neuroscience, focusing on non-invasive brain stimulation, neural decoding, and causal inference in brain activity. He has secured funding from the National Institutes of Health (NIH), Department of Defense (DoD), and NASA, with work featured in The Guardian and Los Angeles Times. Current Roles: Associate Professor (CCNY), VP of Machine Learning (Optios) Education: PhD in Telecommunications (University of Quebec, INRS), Postdoc in Biomedical Engineering (CCNY), Research Scientist (Stanford University) Research Interests: Development of machine learning algorithms for neural decoding and brain stimulation Non-invasive ultrasonic neuromodulation for psychiatric and neurological disorders Investigation of causal relationships in brain activity Statistical principles for sports betting and decision-making under uncertainty Integration of brain imaging (EEG, MRI) with stimulation techniques Scientific Contributions: 15+ recent publications on transcranial stimulation, neurotechnology, and machine learning Holder of multiple patents in acoustic signal processing and neurotechnology Key projects: Granger Components Analysis for temporal dependencies, ultrasonic brain stimulation funded by NIH Awards and Recognition: Recipient of the Governor General of Canada's Academic Gold Medal Research supported by NIH, DoD, and NASA grants Contact: Email: jdmochowski@ccny.cuny.edu , info@jacekd.me

Leo Wanمشاهده پروفایل

استاد

• Tissue Engineering
• Regenerative Medicine
• Organ-on-a-Chip
• +۵ مورد دیگر

Leo Wan is a Professor of Biomedical Engineering at Rensselaer Polytechnic Institute (RPI), where he has served since 2011 after completing his Ph.D. at Columbia University. His research program focuses on developing innovative tissue regeneration strategies and organ-on-a-chip platforms for disease modeling and drug screening, operating at the intersection of engineering and life sciences. His educational background includes: Ph.D. in Biomedical Engineering, Columbia University (2007) M.Eng. in Fluid Mechanics, University of Science and Technology of China (2001) B.S. in Theoretical and Applied Mechanics, University of Science and Technology of China (1998) Dr. Wan's research centers on tissue engineering and morphogenesis , with particular emphasis on cell chirality —a fundamental property governing left-right asymmetry in biological systems. His laboratory develops organ-on-a-chip devices using micro-/nanofabrication techniques to model cardiac development and disease, while investigating how biomechanical forces influence stem cell differentiation and tissue formation. Current projects explore chiral morphogenesis in vascular systems and its implications for congenital heart defects. Analysis of his recent publications (2022-2025) reveals a consistent focus on cellular chirality mechanisms in cardiovascular development, with increasing emphasis on biomechanical modeling and organ-on-a-chip translation . His work bridges fundamental biophysics with clinical applications, particularly in cardiac tissue engineering and cancer metastasis modeling. Major recognitions include: Fellow of the American Heart Association (2021) NIH Director's New Innovator Award (2014) Pew Scholar in Biomedical Sciences (2013) National Science Foundation CAREER Award (2013) Basil O'Connor Starter Scholar Award (March of Dimes, 2014) Dr. Wan has secured substantial research funding from NIH, NSF, and the American Heart Association to support his work on tissue regeneration and disease modeling. As principal investigator of the Wan Lab, he directs interdisciplinary research involving graduate students and postdoctoral fellows, with recent projects focusing on helical vasculogenesis and chiral cytotoxicity assays. His laboratory maintains active collaborations with the Center for Biotechnology and Interdisciplinary Studies (CBIS) and Center for Modeling, Simulation and Imaging in Medicine (CEMSIM) at RPI. The Wan Lab operates within RPI's Center for Biotechnology and Interdisciplinary Studies, utilizing advanced microfabrication facilities and stem cell culture resources. Current research teams are developing next-generation organ-on-a-chip platforms that integrate patient-derived cells for personalized drug testing, with particular focus on cardiac applications and tumor-vascular interactions.

Ali Salehzadeh-Yazdiمشاهده پروفایل

پژوهشگر ارشد

• Network Biology
• Data Integration
• Method Development
• +۳ مورد دیگر

Dr. Ali Salehzadeh-Yazdi is a Research Fellow in the Department of Systems Biology and Bioinformatics at the Faculty of Computer Science and Electrical Engineering, University of Rostock. His work bridges computational modeling and experimental biology to unravel complex genotype-phenotype relationships, with significant contributions to network theory and metabolic modeling. His academic journey includes: Postdoctoral Fellowship (2016-present) at University of Rostock Ph.D. in Biophysics (2008-2014) from University of Tehran Master's in Biophysics (2003-2006) from University of Tehran Bachelor's in Cell and Molecular Biology (1999-2003) from Shahid Chamran University His research focuses on network biology (specializing in network reconstruction and centrality analysis), data integration (merging multi-omics datasets for tissue-specific modeling), and metabolic modeling (applying constraint-based approaches to cancer metabolism). His work on the CentiServer resource and GEMtractor platform has established new standards in computational systems biology. Current projects include SYSTERACT, BESTER, and SASKit, targeting systems medicine applications in cancer and stroke. Analysis of his 15 most recent publications reveals a strong trajectory in cancer systems biology (60% of articles), with particular emphasis on metabolic heterogeneity and multi-omics integration. His work increasingly bridges computational methods with clinical applications, as evidenced by growing publications in personalized medicine journals since 2020. Scientific recognition includes: Metabolic grant award from NanoString (2019) Guest editorship for MDPI's Special Issue on Systems Medicine Editorial roles at Frontiers in Physiology and Metabolites Dr. Salehzadeh-Yazdi leads multiple research initiatives funded by the Federal Ministry for Education and Research, including EU projects SYSTERACT and BESTER. His group develops computational tools like GEMtractor and CentiServer that serve international research communities. Current work focuses on senescence-associated diagnostics through the SASKit project, integrating omics data for cancer and stroke outcomes. The researcher actively collaborates with SINTEF Materials and Chemistry and participates in international consortia like EU-STANDS4PM, maintaining a strong focus on translating computational models into clinical applications through interdisciplinary team efforts.

• Neuroscience
• Mathematical Biology
• Computational Mathematics
• +۶ مورد دیگر

Amitabha Bose is a Professor in the Department of Mathematical Sciences at New Jersey Institute of Technology (NJIT). His research focuses on mathematical neuroscience, particularly modeling neural networks and circadian rhythms. He has actively contributed to understanding synaptic plasticity, rhythmic timing mechanisms, and oscillatory systems through interdisciplinary approaches combining mathematics and biology. His work spans circadian entrainment dynamics, phase resetting in neural networks, and applications of mathematical models to music perception and sleep disorders. Bose has secured multiple NSF grants, including projects on undergraduate biology-mathematics training programs and the role of synaptic plasticity in neuronal networks. His research outputs include over 50 peer-reviewed articles in journals such as Mathematical Biosciences , Scientific Reports , and Journal of Theoretical Biology . Key Projects : Conference on Frontiers in Applied and Computational Mathematics (2022) UBM Training Program in Biology and Mathematics (2004–2010) Role of short-term synaptic plasticity in feedback neuronal networks (2006–2010) Bose’s grants and collaborations reflect his expertise in bridging mathematical analysis with biological systems, particularly in rhythm generation and neural network behavior. His recent work includes studies on circadian misalignment in shift work and jet lag, as well as biophysical models for rhythmic timing in recurrent neural networks.

Franziska Schünemannمشاهده پروفایل

استاد

• Bioeconomy
• Climate Policy
• Agricultural Economics
• +۳ مورد دیگر

Prof. Franziska Schünemann is Head of the Bioeconomy Department at the Institute of Economics, University of Hohenheim since April 2020. She holds a doctorate in agricultural economics from the University of Hohenheim (2017) and has conducted research at the International Food Policy Research Institute (IFPRI) and the Kiel Institute for the World Economy. Her research focuses on sustainable bioeconomy transformation, analyzing policy impacts via computable general equilibrium (CGE) models combined with biophysical frameworks. Education: Economics studies at Universities of Mannheim, Bergen, Göttingen, and Groningen, culminating in a PhD on 'Economy-Wide Policy Modeling of the Food-Energy-Water Nexus in Malawi.' Research emphasizes global and developing country policy analysis in energy, climate, and agriculture sectors. She has held roles at Kiel Institute’s Environment and Natural Resources Research Department (2016–2020). Current work integrates economic, societal, and ecological dimensions of policy evaluation, contributing to global commons and climate policy discourse.

• Stability Theory
• Bifurcation Theory
• Elastic Rod Mechanics
• +۵ مورد دیگر

Kathleen A. Hoffman is a Professor of Mathematics and Statistics at the University of Maryland, Baltimore County (UMBC). She holds a Ph.D. in Applied Mathematics from the University of Maryland, College Park (1997). Her research focuses on stability theory for constrained variational problems, bifurcation theory in multi-timescale systems, neuromechanical locomotion, epidemiology, predator-prey systems, and phototransduction. She has been actively involved in interdisciplinary grants, including NSF-funded initiatives on biological modeling and quantitative education. Her educational background includes a B.S. in Mathematics and Physics (Summa Cum Laude) from the University of New Hampshire (1991). She has held roles such as Associate Professor (2005–2011), Visiting Associate Professor at the University of Maryland, College Park (2006–2007), and postdoctoral positions at the Institute for Mathematics and its Applications (IMA) and the Institute for Physical Science and Technology. Research interests span elastic rod mechanics, dynamical systems, and mathematical biology. Notable contributions include work on self-contact potentials in elastic rods, entrainment ranges in neural oscillators, and modeling lamprey locomotion. Her articles often intersect mechanics, nonlinear analysis, and applied mathematics. Awarded recognition includes an illustration on the cover of the International Journal for Bifurcation and Chaos (2000). She advises graduate and undergraduate students in interdisciplinary projects, such as epidemiological models of STD transmission and predator-prey dynamics. Hoffman is also involved in initiatives to enhance quantitative education in biology and pre-med programs through grants like HHMI and UBM. Her service includes roles in departmental leadership, NSF review panels, and outreach programs like the Summer Program for Women in Mathematics. Collaborations extend to institutions such as Princeton, JHU, and Tulane, focusing on neuromechanical systems and locomotion.

Dennis Horeمشاهده پروفایل

استاد

• Nonlinear optics
• Vibrational spectroscopy
• Surface science
• +۵ مورد دیگر

Dennis Hore is a Professor in the Department of Chemistry within the Faculty of Science at the University of Victoria. His research bridges fundamental surface science with practical community health applications, particularly in the context of the opioid crisis. With a BSc from McMaster University and PhD from Queen's University followed by postdoctoral training at the University of Oregon, he has established a multidisciplinary research program that combines experimental and theoretical approaches. His primary research interests include nonlinear optics, vibrational spectroscopy of surfaces, and community drug checking technologies. Dr. Hore's work spans two interconnected domains: biophysical chemistry (focusing on protein adsorption and membrane structure at interfaces) and materials science (examining polymer surface evolution from bulk structure). More recently, his group has developed critical technologies for community-based drug checking in response to North America's overdose crisis, operating through substance.uvic.ca. His publication record shows strong activity through 2025 with over 100 papers, including high-impact journals like Journal of the American Chemical Society and Analytical Chemistry. The research demonstrates consistent evolution from fundamental interfacial studies toward applied harm reduction technologies, with increasing interdisciplinary collaboration across chemistry, computer science, and public health domains. Dr. Hore actively supervises numerous graduate students and postdoctoral fellows across chemistry and physics disciplines, with current projects including spectral modeling of drug mixtures, surface structure analysis, and development of real-time drug-checking platforms. His teaching focuses on general, physical, and analytical chemistry, with emphasis on computational approaches for laboratory automation.

Xinqiang Dingمشاهده پروفایل

استادیار

• Computational Drug Design
• Molecular Simulations
• Statistical Mechanics
• +۳ مورد دیگر

Xinqiang Ding is an Assistant Professor of Chemistry at Tufts University, holding the Dr. Charles W. Fotis A37, AG39 Junior Professorship. He leads the Ding Group, focusing on computational methods integrating statistical mechanics, molecular dynamics, and machine learning. His research addresses challenges in computational drug design, force field development, and biomolecular simulations. He earned a Ph.D. in Chemistry from the University of Michigan (2018) and dual B.S. degrees in Pharmaceutical Science and Mathematics from Peking University (2012). Research Interests : Computational drug design via protein-ligand binding free energy calculations Coarse-grained force field development for biophysical systems Multiscale modeling of biomolecular condensates Molecular simulation techniques enhanced by machine learning Teaching : Teaches courses including Biophysical Chemistry and special topics in Machine Learning & Molecular Dynamics. Advises graduate students and postdoctoral researchers in computational chemistry and biophysics. Labs/Teams : Directs the Ding Group at Tufts, collaborating on software tools like BayesMBAR and OpenABC for free energy calculations and biomolecular simulations.

Lincoln D. Carrمشاهده پروفایل

استاد

• Quantum Information Science
• Complexity Sciences
• Condensed Matter Physics
• +۵ مورد دیگر

Lincoln D. Carr is a Professor in the Department of Physics at the Colorado School of Mines, where he investigates fundamental questions at the quantum-classical boundary, novel quantum computing paradigms beyond standard models, and interdisciplinary STEM education approaches. His work bridges theoretical physics with real-world problem-solving for global challenges like energy systems and political stability. His research spans critical domains: Quantum Information Science and Engineering Complexity Sciences and Emergent Phenomena Condensed Matter and Atomic Molecular Optical Physics Applied Mathematics and Computational Science Science Policy and Diplomacy Initiatives Humanities-STEM Integration Frameworks Analysis of his 2023-2025 publications reveals dominant themes in fractional quantum mechanics (Schrödinger/Ising models), Goldilocks quantum cellular automata, multiscale quantum media, and quantum optimization via oscillating fields. His numerical work achieves unprecedented precision in modeling anomalous transport, while his quantum education leadership drives national workforce development strategies. No specific scientific awards are documented in the source material. As a core faculty member, Carr mentors graduate students in quantum information and complexity science, though individual advisees aren't listed. His national workshop leadership indicates active grant involvement in quantum education infrastructure. He spearheads national quantum education policy through workshops establishing centers for quantum workforce development, demonstrating commitment to science diplomacy and interdisciplinary training frameworks that connect quantum physics with societal challenges.

Viktor Dreminمشاهده پروفایل

پژوهشگر ارشد

• Biophotonics
• Biomedical Optics
• Biomedical Engineering
• +۹ مورد دیگر

Dr. Viktor Dremin is a Research Fellow at the Aston Institute of Photonic Technologies (AiPT), part of the College of Engineering and Physical Sciences at Aston University. He holds a PhD and is a Fellow of the Higher Education Academy (FHEA). His research focuses on biophotonics, biomedical optics, and optical imaging technologies. Key areas include laser Doppler flowmetry, fluorescence spectroscopy, and hyperspectral imaging for medical diagnostics. Dr. Dremin leads projects on cerebral blood flow monitoring, singlet oxygen generation for theranostics, and wearable medical sensors. Education: PhD (details unspecified), FHEA qualification Research Interests: Biomedical engineering applications, non-invasive diagnostics, optical sensors, machine learning integration His work spans collaborations in neurovascular dynamics, liver cancer detection, and 3D skin model analysis. He has authored 144+ research outputs, including peer-reviewed articles and datasets. Notable contributions include a hyperspectral imaging system for skin diagnostics and wearable devices for cardiovascular monitoring. Dr. Dremin's lab develops optical tools for minimally invasive surgery and metabolic assessments. Recent studies emphasize transcranial cerebral blood flow analysis, singlet oxygen's role in cellular bioenergetics, and AI-driven maxillary sinus diagnostics. His datasets explore skin polarization and intestinal perfusion under ischemia. Collaborations include institutions in Russia and the UK, focusing on translational medical optics.

Ioannis Trougakosمشاهده پروفایل

پژوهشگر

• Aging Biology
• Proteostasis
• Systems Biology
• +۶ مورد دیگر

Ioannis Trougakos leads the "Ageing and Age-Related Diseases" research group at the Department of Cell Biology and Biophysics, Faculty of Biology, National & Kapodistrian University of Athens (NKUA). His work focuses on aging biology, proteostasis, and systemic disease mechanisms using multidisciplinary systems biology approaches. Founded in 1932 and reformed in 1990, NKUA's Faculty of Biology is Greece's top-ranked biology faculty, offering cutting-edge postgraduate programs. The lab utilizes advanced facilities including cryo-electron microscopy, confocal imaging, and high-throughput screening platforms. Research spans: Proteostatic and mitostatic regulatory networks Metabolic-genomic cross-talk Tissue-organismal communication in aging Small molecule discovery for anti-aging/anti-cancer applications Mechanisms of proteasome inhibitor toxicity Vaccination responses in comorbid populations Recent publications highlight expertise in NRF2 signaling, oxidative stress, and molecular aging. The lab employs 4 postdocs, 3 PhD, 3 MSc, and 6 BSc students. Funding comes from European Union programs, Hellenic foundations, and industry partnerships.

Julien Berroمشاهده پروفایل

دانشیار

• Biophysics
• Cell Biology
• Cytoskeleton
• +۷ مورد دیگر

Julien Berro is an Associate Professor at Yale University, affiliated with the Yale School of Medicine's Departments of Molecular Biophysics & Biochemistry and Cell Biology. He leads the Berro Lab, focusing on mechanistic and quantitative studies of cellular force generation and sensing, particularly in clathrin-mediated endocytosis. His research integrates experimental, computational, and theoretical approaches. Education: PhD in Mathematical Modeling in Biology (Université Joseph Fourier, France), Postdoc at Yale University. Key affiliations include the Nanobiology Institute and the Center for Biomedical Data Science. Research interests center on actin cytoskeleton mechanics, endocytic force production, and membrane tension regulation. Notable achievements include NIH High-Risk/High-Reward Awards and recognition as a 'Cell Scientist to Watch' (2019). Lab Focus: Coiled-coil force sensors, CRISPR/Cas9 genome editing, and quantitative imaging. Grants: NIH funding for mechanobiology studies. Labs/Teams: Collaborates with the Pollard Lab and the Yale Systems Biology group.

Filippidis Georgeمشاهده پروفایل

پژوهشگر

• Biophotonics
• Non-linear Microscopy
• Medical Imaging
• +۳ مورد دیگر

Dr. Filippidis George is a Senior Staff Scientist at the Institute of Electronic Structure and Laser (IESL) of FORTH, leading the Non-linear Microscopy (NLM) group. He holds a B.Sc. in Physics (1995) and a Ph.D. in Biophysics (2000) from the University of Crete. His research focuses on biophotonics, non-linear microscopy, and their applications in biological processes and cultural heritage studies. Education: Ph.D. in Biophysics, University of Crete, 2000 B.Sc. in Physics, University of Crete, 1995 Research Interests: Dr. Filippidis develops advanced optical techniques such as multiphoton microscopy and nonlinear spectroscopy to study molecular mechanisms in biological systems and analyze cultural heritage materials. His work includes collagen analysis, cancer diagnosis, and nondestructive imaging of artworks. He has pioneered applications of third-harmonic generation (THG) and second-harmonic generation (SHG) for biomedical and heritage diagnostics. Recent Trends in Publications: His articles emphasize integration of machine learning with microscopy for diagnostic precision, deep-learning enhanced cancer detection, and cross-laboratory validation of collagen analysis. His work bridges biophotonics with practical applications in medicine and art conservation. Lab & Teams: He leads the Non-linear Microscopy Lab at IESL-FORTH, collaborating on projects involving tissue characterization, nanosurgery, and heritage material analysis. His group actively engages in interdisciplinary research with medical and art institutions.

• Deep Learning Applications in Medical Imaging
• Biomedical Signal Processing
• Semantic Segmentation
• +۲ مورد دیگر

Antonio Brunetti is an Assistant Professor (RTD-a) at Politecnico di Bari, focusing on deep learning applications in biomedical engineering. His research bridges artificial intelligence with medical imaging and neurological signal analysis, particularly for disease diagnosis and rehabilitation. Research Interests Deep learning for multimodal medical imaging (MRI, CT, EEG/fNIRS) Neurological disorder analysis (Alzheimer's, Parkinson's) Radiomics and explainable AI in oncology Virtual reality interventions for cognitive decline Publication Trends Recent work emphasizes AI-driven segmentation of tumors, attention mechanisms in neurological classification, and fusion techniques for multimodal data. Applications span from pancreatic cancer radiomics to hyposmia assessment post-COVID-19.

Nicolas C. Pégardمشاهده پروفایل

استادیار

• Computational Optics
• Neuroscience
• Biophotonics
• +۲ مورد دیگر

Nicolas C. Pégard is an Assistant Professor at the University of North Carolina at Chapel Hill, jointly affiliated with the School of Medicine's Biomedical Engineering department and the Applied Physical Sciences program. He directs the Computational Biophotonics Laboratory, which develops advanced optical instrumentation for neuroscience and medical applications. His research integrates physics, engineering, and computer science to create novel optical tools for interrogating biological systems. Key interests include computational microscopy, holography, machine learning approaches to neural imaging, optogenetics, and high-speed optical systems for monitoring neural activity. The lab focuses on task-based optical systems rather than traditional imaging. Dr. Pégard's publications demonstrate a consistent focus on advancing optical techniques for neuroscience. Recent work (2023-2025) shows strong trends in developing holographic methods, compressive imaging techniques, and integrated systems for multimodal neural recording. His team frequently publishes on applications of deep learning to optical problems and creates open-source tools for the research community. Sloan Fellowship in Neurosciences (2023) Kavli Innovation Grant (2022) Beckman Young Investigator Award (2021) Burroughs Wellcome Career Award (2018) The lab actively trains PhD students in interdisciplinary research, with recent graduates including Dr. Hossein Eybposh. Current projects explore holographic optogenetics, voltage imaging, and integrated systems for behavioral neuroscience. The group maintains collaborations with Janelia Research Campus and receives funding from NSF, NIH, and private foundations for developing next-generation neurotechnology platforms.