جست‌وجوی استاد و پژوهشگر

Zhao Qinمشاهده پروفایل

استادیار

• Advanced Material Design
• Multiscale Computational Modeling
• Bio-inspired Materials
• +۴ مورد دیگر

Zhao Qin is an Assistant Professor at Syracuse University's Department of Civil and Environmental Engineering. His research focuses on developing advanced computational methods to study multi-scale material behaviors, particularly in bio-inspired and synthetic materials. He holds a Ph.D. from MIT (2013) and degrees from Tsinghua University (B.Eng. 2006, M.Eng. 2008). Education: Ph.D., Civil and Environmental Engineering, MIT (2013) M.Eng., Engineering Mechanics, Tsinghua University (2008) B.Eng., Engineering Mechanics, Tsinghua University (2006) Research interests include multiscale modeling of bio-materials, bio-inspired material design, and high-throughput computational methods for material optimization. His work spans biomimetic composites, nanomaterials, and fatigue-resistant hydrogels. Recent studies investigate mussel adhesion mechanics, lobster hydrogel structures, and collagen-based materials. Key achievements include the NSF CAREER Award (2022), ASME Best Paper Award (2013), and Chinese Government Scholarship (2011). He teaches courses CEE 325 (Mechanics of Materials) and CEE 676 (Multiscale Material Modeling). Publications highlight contributions to understanding natural material functions and translating insights into synthetic materials. His work bridges biology and engineering through computational tools and experimental validation.

Haruko M Wainwrightمشاهده پروفایل

استادیار

• Environmental Modeling
• Water Resources Management
• Contaminant Transport
• +۶ مورد دیگر

Haruko M Wainwright is the Mitsui Career Development Professor in Contemporary Technology and an Assistant Professor at MIT's Department of Nuclear Science and Engineering and Civil and Environmental Engineering. Her research focuses on environmental modeling and monitoring technologies, particularly for hydrology, contaminant transport, and nuclear waste management. She develops Bayesian methods and machine learning approaches to integrate multi-type data and models, emphasizing environmental resilience and sustainability. Her work addresses challenges in nuclear waste management, radiation monitoring, and climate resilience. She leads projects like the ALTEMIS program, advancing AI-driven environmental monitoring systems. Collaborations with industry and government agencies enhance applied research and workforce development in nuclear waste management. Her studies span global soil carbon storage, watershed dynamics, and disaster response strategies for nuclear accidents. Key initiatives include optimizing radiation monitoring networks, assessing site closure timelines for contaminated sites, and leveraging geothermal energy from nuclear waste repositories. She integrates remote sensing, physics-informed machine learning, and field data to improve predictions of ecosystem fluxes and biogeochemical processes.

• Neuroscience
• Magnetic Resonance Imaging (MRI)
• Neurovascular Coupling
• +۳ مورد دیگر

Dr. Aneurin Kennerley is an Associate Professor in Neuroscience at Manchester Metropolitan University. His research focuses on neuroimaging techniques, particularly MRI applications for understanding neurovascular coupling, tumor biology, and neurodegenerative diseases. He has contributed to advancements in sodium MRI for cancer diagnosis, hyperpolarized MRI for theranostics, and real-time imaging of physiological systems. Key research areas include: Development of MRI-based biomarkers for neurological and oncological conditions Investigation of cerebral blood flow dynamics and neurovascular mechanisms Engineering of magnetic drug delivery systems for targeted therapies His work spans preclinical and clinical studies, with notable contributions to sodium MRI for breast cancer assessment, photobiomodulation effects on aging brains, and novel imaging contrast agents. He collaborates across disciplines in biomedical engineering, oncology, and neurology. Recent studies highlight innovations in real-time functional imaging, nanomagnetic drug targeting, and cross-species validation of neuroimaging protocols. His research bridges fundamental neuroscience with translational medical applications.

Jeffrey R. Lapidesمشاهده پروفایل

دانشیار مدعو

• Bioinformatics
• Microbiome
• Machine Learning
• +۵ مورد دیگر

Jeffrey R. Lapides, PhD, is an Adjunct Associate Professor in the Department of Microbiology & Immunology at Drexel University's College of Medicine. His research focuses on developing computational tools to analyze microbiome and RNA expression data, linking microbial ecosystems to disease phenotypes. Key affiliations: Center for Genomic Sciences, Center for Advanced Microbial Processing Media coverage: The Guardian (2024), New Scientist (2024), Drexel News (2023) Research Areas: Using unsupervised machine learning (Markov chain Monte Carlo, LDA) and graph theory to model complex bioinformatic datasets. Applications include Alzheimer's disease microbiome analysis, Crohn's disease studies, and viral RNA expression in animal models. Publications Analysis: Spanning 1978-2024, his work transitions from planetary gamma-ray spectroscopy to cutting-edge microbiome research. Early work in nuclear physics and optical engineering informs his current computational approaches to biomedical challenges. Labs & Teams: Affiliated with Drexel's Center for Genomic Sciences and Center for Advanced Microbial Processing, focusing on microbial systems and human disease connections.

Arno Ruckelshausenمشاهده پروفایل

استاد

• Agricultural Engineering
• Robotics
• Sensors and Sensor Systems
• +۳ مورد دیگر

Prof. Dr. Arno Ruckelshausen is a retired professor at Osnabrück University of Applied Sciences, affiliated with the Faculty of Engineering and Computer Science. His work focuses on agricultural technology, robotics, and sensor systems. He introduced innovative technologies like the BoniRob autonomous field robot and contributed to projects such as the Competence Center of Applied Agricultural Engineering (COALA). Education: 1977–1983: Diploma in Physics, University of Giessen 1983–1987: Research Assistant at University of Giessen and collaborations with Max Planck Institute and Argonne National Lab 1987: PhD in Experimental Physics (Nuclear Physics and Multidetector Systems) Research Interests: Prof. Ruckelshausen’s research addresses precision agriculture, field robotics (e.g., BoniRob), phenotyping (e.g., BreedVision), and sensor systems for soil analysis (ISFET-based systems). His work emphasizes automation, real-time data processing, and interdisciplinary applications in crop science and environmental monitoring. Awards: Deutscher Innovationspreis Gartenbau 2015 euRobotics Technology Transfer Award 2015 (2nd Prize) Wissenschaftspreis Niedersachsen 2019 Grants and Projects: AgriCareerNet: Certificate Program in Agricultural Imaging Systems (BMBF) Crop Virus Scan: Spectral Imaging for Virus Detection (FNR/BMEL/GFPi) Experimentierfeld Agro-Nordwest (BLE/BMEL) Teaching: Courses include Optoelectronics, Sensors, Image-Based Phenotyping, and international programs on agricultural innovation. He mentors student teams like the Field Robot Team (International Field Robot Event). Key Contributions: Developed BoniRob as a field robot platform, pioneered ISFET-based soil nutrient analysis, and co-founded the Competence Center ISOBUS e.V. and AgroTech Valley Forum.

• Marine Science
• Environmental Science
• Remote Sensing
• +۴ مورد دیگر

Jason McIlvenny is a Research Fellow at the University of the Highlands and Islands (UHI), affiliated with the Environmental Research Institute (ERI), Aquaculture Research Network, and Energy Innovation Team. His research focuses on marine and environmental science, particularly tidal stream energy systems, remote sensing technologies, and ecological impacts of renewable energy infrastructure. Research Interests Unmanned aerial vehicles (UAVs) for environmental monitoring Tidal hydrodynamics and marine renewable energy Remote sensing applications in coastal ecosystems Environmental impacts of wind and tidal energy systems Biophysical interactions between seabirds and tidal currents Key Contributions Developed methodologies for automated detection of surface turbulence features in tidal streams Pioneered low-cost graphical user interfaces for drone imagery processing Investigated CO2 flux dynamics in blanket bogs during drought conditions Awards & Recognition While no specific awards are listed, his work has been widely cited and featured in interdisciplinary journals such as Sensors and Ecohydrology . Advisory & Collaborative Work McIlvenny has supervised 2 research projects and collaborated with organizations like the Nuclear Decommissioning Authority on legacy particles research. His work aligns with UN Sustainable Development Goals related to climate action and responsible consumption of energy resources.

• Sustainability Studies
• Renewable Energy Systems
• Multi-Criteria Decision Making
• +۳ مورد دیگر

Prof. Fausto Cavallaro is a Full Professor at the Department of Economics of the University of Molise (UniMol), Italy. His research focuses on sustainability, renewable energy systems, multi-criteria decision-making methodologies, and fuzzy logic applications in environmental and economic contexts. He holds a prominent role in academic administration through his position as Professore Ordinario. Key research areas include renewable energy technology assessment, sustainable supply chain management, and innovative decision frameworks for environmental policy design. His work integrates advanced mathematical models (e.g., intuitionistic fuzzy systems, TOPSIS, AHP) with real-world applications in energy systems, urban planning, and healthcare logistics. Recent publications (2020–2025) emphasize sustainability challenges like zero-carbon transportation, humanitarian crisis impacts on tourism, and digital transformation in human resource management. He has contributed to global discussions on energy transition through frameworks for evaluating solar power, biofuel, and offshore wind projects. Prof. Cavallaro collaborates internationally, evidenced by co-authored studies across Europe and Asia. His work bridges technical decision-making tools with socio-economic factors, addressing complex sustainability challenges at local, national, and global scales.

HECTOR ALVAREZ POLمشاهده پروفایل

استاد

• Nuclear Physics
• Particle Physics
• Experimental Nuclear Physics
• +۳ مورد دیگر

HECTOR ALVAREZ POL is a Professor of Atomic, Nuclear and Molecular Physics at the University of Santiago de Compostela (USC), affiliated with the Department of Particle Physics in the Faculty of Physics. He is a member of the Galician Institute of High Energy Physics (IGFAE) and the FICA research group (Corpuscular Physics and Applications). His doctoral thesis, completed in 2002 at USC under Dr. Ignacio Durán Escribano, focused on the alignment of Multiwire Drift Chambers for the HADES dilepton spectrometer. His research emphasizes experimental nuclear physics, particularly nuclear fission dynamics, exotic nuclei, and advanced detector technology. Key areas include fission fragment yields, quasi-free scattering reactions, and the development of detectors like the CALIFA calorimeter and the Active Target Time Projection Chamber (ACTAR TPC). He collaborates with major facilities such as FAIR (Facility for Antiproton and Ion Research) and has contributed to projects like TRASGO and TRISTAN. Recent work highlights include applying machine learning to predict fission cross sections, studying multinucleon knockout reactions in exotic nuclei, and investigating fission mechanisms under extreme conditions. His group explores neutron-skin thickness determination, symmetry energy, and halo nuclei behavior, with applications in astrophysical nucleosynthesis and dark matter detection. Publications since 2020 reflect a focus on high-precision measurements, advanced simulation tools (e.g., SOFIA, AsyEOS), and detector performance optimization. His work bridges experimental techniques with theoretical models, addressing fundamental questions in nuclear structure and reaction dynamics.

• Cancer Genomics
• Molecular Oncology
• Tumor Immunology
• +۲ مورد دیگر

Lance D. Miller is Assistant Professor in the Department of Internal Medicine, Hematology & Oncology at Wake Forest School of Medicine. His NIH-funded research focuses on molecular oncology and precision cancer therapies. Research applies genomic and transcriptomic approaches to understand tumor biology across cancer types. Current projects investigate molecular subtyping of peritoneal malignancies and immunotherapy screening using patient-derived models. Collaborative work spans brain metastasis, sarcoma microenvironment, and cancer disparities. Active grant: NIH R01CA249087: Tumor Organoid-Mediated Drug Testing in Peritoneal Surface Disease (Co-PI, 2021-2026) Publications demonstrate expertise in multi-omics analysis, cancer biomarker discovery, and translational applications of novel technologies like single-cell sequencing and 3D tumor modeling.

Hayan Leeمشاهده پروفایل

استادیار

• Computational Epigenetics
• Cancer Research
• Aging
• +۵ مورد دیگر

Hayan Lee is an Assistant Professor at the Fox Chase Cancer Center and a member of the Cancer Epigenetics Institute with a focus on the Nuclear Dynamics and Cancer (NDC) program. Her lab investigates computational epigenetics in cancer and aging, emphasizing machine learning for biomarker development and therapeutic optimization. Ph.D. in Computer Science, Stony Brook University (2015) M.S. in Information Security Technology and Management, Carnegie Mellon University (2008) B.S. in Computer Science and Engineering, Seoul National University (2002, Cum Laude) Research interests span computational epigenetics, multi-omics data analysis, and cutting-edge technologies like single-cell sequencing and spatial transcriptomics. Her work identifies predictive epigenetic signatures and models cancer microenvironment dynamics. Recent publications highlight trends in applying machine learning to cancer diagnostics, epigenetic dysregulation, and single-cell technologies. Notable awards include the Best Paper Award at ISMCO’21 and the Simons Postdoctoral Fellowship . Scientific Awards Best Paper Award, ISMCO’21 Simons Postdoctoral Fellowship, 2015-2016 Ph.D. Fellowship, Stony Brook, 2009-2010 M.S. Scholarship, Carnegie Mellon, 2006 Cum Laude, Seoul National University, 2002 Hayan Lee leads the Nuclear Dynamics and Cancer Lab, collaborating with institutions like Stanford University and Temple University. Her research integrates high-performance computing and machine learning frameworks to advance cancer and aging diagnostics.

Robbie Baldockمشاهده پروفایل

مدرس ارشد

• DNA Repair
• Mitochondrial Biology
• Pharmacology
• +۴ مورد دیگر

Dr. Robbie Baldock is a Senior Lecturer and Associate Head (Employability & Placements) at the University of Portsmouth , where he leads the Baldock Laboratory in the School of Medicine, Pharmacy and Biomedical Sciences . His career spans roles at Solent University (Lecturer/Senior Lecturer), University of Gloucestershire, and University of Pittsburgh (postdoctoral research). He holds a PhD from the University of Sussex and is a Senior Fellow of the Higher Education Academy . Current leadership role: Associate Head (Employability & Placements) Academic institutions: University of Sussex (undergraduate), University of Pittsburgh (postdoc) Professional affiliations: Biochemical Society Local Ambassador, Genes Research Area Panel, Early Career Advisory Panel His research interests focus on DNA repair mechanisms in both nuclear and mitochondrial genomes, antibiotic-induced mitochondrial toxicity , and the role of hydroquinine in bacterial resistance . He also explores augmented reality (AR) in bioscience education to enhance student engagement and accessibility. Recent research outputs highlight trends in antibiotic resistance (e.g., efflux pump regulation in Pseudomonas aeruginosa ), mitochondrial DNA protection , and AR applications in education . His 2024 work on machine learning for COVID-19 detection via X-rays demonstrates interdisciplinary innovation. Scientific awards include: Senior Fellow of the Higher Education Academy (AdvanceHE) Dr. Baldock supervises self-funded PhD students and actively participates in degree program validation and external examining (University of Plymouth). His lab at Portsmouth leverages state-of-the-art equipment for fluorescence analysis, flow cytometry, and cell culture studies.

Kyung Jae Leeمشاهده پروفایل

دانشیار

• Reactive transport in porous media
• Multiscale subsurface modeling
• Lithium extraction from brines
• +۵ مورد دیگر

Kyung Jae Lee is an Associate Professor in the Department of Petroleum Engineering at the University of Houston's Cullen College of Engineering. His research focuses on reactive transport modeling in subsurface systems, with particular emphasis on lithium extraction from shale brines and nuclear waste disposal barriers. He holds a Ph.D. from Texas A&M University (2014) and has led projects funded by NSF, ACS PRF, and industry partnerships. Key research interests include multiscale modeling of subsurface processes, clay mineral behavior under thermal conditions, and data-driven reservoir simulation techniques. His work bridges computational models with experimental validations, addressing critical challenges in energy resources and environmental sustainability. Award-winning educator, Lee teaches graduate courses like Advanced Reservoir Simulation and Reservoir Characterization. Over 20 scientific awards highlight his contributions to petroleum engineering and environmental geoscience. His lab collaborates with national labs like Lawrence Berkeley National Laboratory and industry partners for translational research.

• Quantum Physics
• High-Energy Physics
• Theoretical Physics
• +۴ مورد دیگر

Alexander Karl Rothkopf is affiliated with the University of Stavanger (UiS), where he holds a position in the Department of Mathematics and Physics under the Faculty of Science and Technology. His research focuses on quantum systems, particularly real-time dynamics of strongly coupled systems like the quark-gluon plasma. He employs lattice QCD, Bayesian inference, and machine learning techniques for non-perturbative studies. Key projects include developing discretization schemes, machine-learning enhanced spectral extraction, and real-time simulation strategies. Rothkopf teaches courses on mechanics, quantum mechanics, and lattice-based simulations. His work bridges theoretical physics with computational methods, addressing challenges in heavy quark dynamics and open-quantum systems. Recent research highlights include exact symmetry conservation in numerical methods, novel discretization techniques for quantum systems, and machine learning applications for complex Langevin simulations. He collaborates internationally with institutions like Brookhaven National Laboratory (BNL) and Linköping University. His contributions span journals such as Journal of Computational Physics and Physical Review D , emphasizing computational physics and high-energy theory. Presentations include talks at the International Symposium on Lattice Field Theory and Nordic Lattice Meetings. Despite no explicit awards listed, his prolific publication record underscores his impactful research in theoretical and computational physics. Education: Advanced training in theoretical physics, likely including a PhD in a related field (details not explicitly provided). Grants/Advising: Leads projects funded by UiS collaborations; advises students on lattice simulations and real-time dynamics (specific grant details not listed). Labs/Teams: Involved in interdisciplinary teams focusing on lattice QCD, computational methods, and open-quantum systems at UiS and partner institutions.

Raghav Khannaمشاهده پروفایل

دانشیار

• Power Electronics
• Wide Bandgap Semiconductor Device Modeling
• Renewable Energy Systems
• +۴ مورد دیگر

Dr. Raghav Khanna is the Leidich Family Endowed Professor of Power Systems in the Department of Electrical Engineering and Computer Science at the University of Toledo . His research focuses on wide bandgap semiconductor device modeling for advanced power electronics applications. Academic Rank: Associate Professor Research Themes: GaN devices, renewable energy integration, smart grid optimization Research Interests : Dr. Khanna's work addresses critical challenges in power electronics reliability , high-voltage device engineering , and dynamic energy system modeling . His investigations span from fundamental semiconductor physics to real-world grid integration of renewable energy sources. Publication Trends : Recent articles demonstrate expertise in III-N power devices , deep reinforcement learning applications for energy systems, and nuclear-renewable hybrid frameworks . His publications show increasing focus on 20 kV device scaling and hydrogen production systems since 2022. Contact Information : Email: Raghav.Khanna@utoledo.edu Office: NI 2056, University of Toledo

Michela Negroمشاهده پروفایل

استادیار

• Multimessenger Astrophysics
• High-Energy Astrophysics
• Polarimetry
• +۷ مورد دیگر

Michela Negro is an Assistant Professor of Physics & Astronomy at Louisiana State University (LSU), with affiliations at NASA Goddard Space Flight Center (NASA GSFC) and the University of Maryland, Baltimore County (UMBC). She holds a Ph.D. from the University of Torino (2019) and has extensive experience in high-energy astrophysics and space instrumentation. Education : Ph.D. in Physics (2015–2019), University of Torino: Thesis on Unveiling the unresolved gamma-ray background through its angular power spectrum Master’s in Nuclear and Subnuclear Physics (2012–2014), University of Torino: Thesis on Study of the inclusive spectrum of cosmic ray electrons with the Fermi Large Area Telescope Research Interests : Focuses on multimessenger astrophysics, high-energy polarimetry, and machine learning applications. Leads investigations into gamma-ray sources, magnetars, blazars, and cosmic ray physics. Active in space missions like Fermi-LAT , IXPE , COSI , and future concepts such as AMEGO-X and AXIS . Grants & Funding : Secured ~$900,000 in grants as Principal Investigator, supporting research into cosmic ray acceleration and multimessenger phenomena. Professional Roles : Deputy Secretary/Treasurer of the American Physical Society Division of Astrophysics (APS-DAP) Member of the CRESST collaboration at NASA GSFC Labs & Teams : Conducts research within the LSU Department of Physics & Astronomy and collaborates with international teams on mission design and data analysis.