جست‌وجوی استاد و پژوهشگر

Kevin Floresمشاهده پروفایل

دانشیار

• Mathematical Biology
• Precision Medicine
• Environmental Toxicology
• +۴ مورد دیگر

Kevin Flores is an Associate Professor in the Department of Mathematics at North Carolina State University (NC State), and Director of the Biomathematics Graduate Program. He leads the Flores Lab, focusing on developing mathematical and statistical methods for parameter estimation, uncertainty quantification, and forecasting in Precision Medicine, Environmental Toxicology, and Synthetic Biology. His work bridges computational approaches with biological systems analysis. Dr. Flores earned his PhD in 2009 from Arizona State University. His research groups include the Mathematical Biology cluster within the Department of Mathematics. His affiliations include Cox Hall 406D and the College of Sciences at NC State. Research interests emphasize interdisciplinary applications: (1) Mathematical Biology involving tumor heterogeneity, viral dynamics, and angiogenesis modeling; (2) Biostatistics focusing on parameter estimation in complex systems; and (3) Computational Tools for biomedical image analysis and machine learning in healthcare. His lab pioneered methods like biologically-informed neural networks and topological data analysis for biological systems. Recent work highlights include: (1) tumor spheroid modeling predicting clinical variability; (2) BK virus infection dynamics in transplant patients; (3) EEG-based brain-computer interface improvements using GANs; and (4) few-shot learning for plant phenotyping. His methodologies address challenges in sparse data scenarios and integrate mechanistic understanding with data-driven approaches. Awards and recognition : None explicitly listed in provided texts. Advising and grants: No specific advisees or grant details provided in texts. His lab's software tools support image segmentation and population modeling. Labs/teams: Directs the Flores Lab for Mathematical Biology at NC State, specializing in hybrid computational-experimental approaches. Collaborates across departments in biomathematics and engineering.

• Computer Science
• Electronics
• Mechanical Engineering
• +۷ مورد دیگر

Guillermo Carpintero del Barrio is a Full Professor at Carlos III University of Madrid (UC3M), leading the Optoelectronics and Laser Technology Group (GOTL). His research spans Photonics Terahertz communications Integrated microwave photonics Optical frequency combs with applications in satellite systems, biomedical imaging, and 6G telecommunications. Recent publications focus on InP/Si3N4 hybrid lasers, dielectric slot waveguides, and photonic-enabled wireless transmission systems. His work demonstrates strong interdisciplinary expertise across electronics, optics, and telecommunications. Key contributions include: Hybrid photonic integration techniques Terahertz waveguide probe design Coherent photonic THz transmitters Optical frequency comb generators He has received multiple patents for photonic interconnects and optical devices. Current projects include TERA6G (terahertz systems for 6G networks) and MLPLUS-CM (microsatellite platform development).

Abhinav Kumar Singhمشاهده پروفایل

مدرس

• Power System Dynamics
• Power System Estimation and Control
• Large-scale Integration of Renewables
• +۴ مورد دیگر

Dr. Abhinav Kumar Singh is a Lecturer of Power Systems at the University of Southampton's School of Electronics and Computer Science since 2019. Previously, he held academic roles at the University of Lincoln (2017–2019) and Imperial College London (2015–2017 as Research Associate). His research focuses on real-time estimation and control of power systems, particularly addressing challenges posed by renewable energy integration. Key areas include power system dynamics, decentralized estimation/control methodologies, and modeling of renewable generation systems. Education: B.Tech from Indian Institute of Technology (IIT) New Delhi (2010), PhD in Electrical Engineering from Imperial College London (2015). He leads the 68-bus benchmark system development for IEEE PES and serves as editor for IEEE Transactions on Power Systems and Journal of Modern Power Systems and Clean Energy . Research Projects: PI of National Grid’s £480K 'Economic Ageing of Transformers' (2019–2021), Co-I on UK-China EPSRC-NSFC £780K 'Resilient Operation of Sustainable Energy Systems' (2020–2023). Teaching: Modules include Power System Dynamics, Power Electronics for DC Transmission, and Mathematics for Electrical Engineering. Awards: EPSRC Doctoral Prize (2015), IEEE PES Recognition Awards (2016, 2022), and The President’s Award for Outstanding Research Team (2016). Labs/Teams: Member of the Electrical Power Engineering group and Tony Davies High Voltage Laboratory. Active in IEEE PES Task Forces on Dynamic Estimation and Standard Test Cases.

James B Amesمشاهده پروفایل

استاد

• Neuroscience
• Biophysics
• Protein Structure
• +۳ مورد دیگر

James B Ames is a Professor and Faculty Director of the NMR Facility at the University of California, Davis. His research focuses on using NMR and biophysical techniques to study neuronal calcium sensor proteins involved in signal transduction, particularly in vision processes like phototransduction. Key proteins under investigation include recoverin, GCAPs, DREAM, and CaBPs. He has held academic positions since 1998, including appointments at the University of Maryland Biotechnology Institute and UC Davis, and has received awards such as the AAAS Fellowship (2016) and Beckman Young Investigator Award (2000). Education: Ph.D. in Chemistry, University of California, Berkeley (1992) B.S. in Chemistry, University of Michigan (1986) Postdoctoral Fellow at Stanford University (1993-1997) Research Interests: Ames' work integrates molecular biology, biophysics, and structural biology to understand how calcium-binding proteins regulate cellular signaling. His lab uses NMR spectroscopy to elucidate atomic-level structural changes in proteins like GCAP1 and recoverin, linking these changes to their roles in diseases such as cone dystrophy and pain modulation. Recent studies explore the dynamics of voltage-gated ion channels and the thermodynamics of signal transduction. Awards: Fellow of the American Association for the Advancement of Science (2016) Beckman Young Investigator Award (2000) Grants & Advising: No explicit grant details or student advisees listed, but his publications include collaborations with postdoctoral fellows and graduate students. His work is supported by NIH and NSF grants implied through publication affiliations. Labs & Teams: Ames directs the NMR Facility at UC Davis, housing advanced spectroscopic equipment for structural biology research. His lab collaborates with neuroscientists and biophysicists to bridge molecular mechanisms and physiological outcomes.

Qin Luمشاهده پروفایل

استادیار

• Signal Processing
• Machine Learning
• Communications
• +۳ مورد دیگر

Qin Lu is an Assistant Professor at the University of Georgia's School of Electrical & Computer Engineering. Her research focuses on robust and adaptive Bayesian methods for decision-making using sequential/networked data, including online Gaussian processes, Bayesian optimization, reinforcement learning, and spatio-temporal inference over graphs. Applications span autonomous systems and mobile edge computing. Education details are not explicitly listed in the provided text. Her work emphasizes scalability and uncertainty quantification, with contributions to edge computing resource management, active learning strategies, and multi-agent systems in IoT. Recent publications highlight advancements in Gaussian process dynamical modeling, adaptive Bayesian optimization, and ensemble learning techniques for online systems. No scientific awards are mentioned in the provided materials. Advising and grants details are not provided, though her research indicates collaborations in autonomous systems, underwater acoustics, and sensor networks. She is affiliated with the Boyd GSRC building and reachable at Qin.Lu@uga.edu.

Pau Batlle Franchمشاهده پروفایل

پژوهشگر ارشد

• Statistics
• Applied Mathematics
• Uncertainty Quantification
• +۴ مورد دیگر

Pau Batlle Franch is a Research Fellow in the Computing and Mathematical Sciences Department at California Institute of Technology (Caltech), working with Professor Houman Owhadi. He holds a PhD from Caltech (June 2025) and was a research affiliate at NASA Jet Propulsion Laboratory (JPL). His research focuses on the intersection of statistics and applied mathematics, including frequentist confidence intervals in inverse problems, game-theoretical uncertainty quantification, and Gaussian processes. He has applied his work to domains like remote sensing, biology, earthquake prediction, and telecommunications engineering. Education : PhD in Computing and Mathematical Sciences (Caltech, 2025); Double undergraduate degree in Mathematics and Engineering Physics from Universitat Politècnica de Catalunya (CFIS program); Research visitor at NYU's Center for Data Science. His research interests include optimization-based statistical methods, Gaussian process frameworks for scientific computing, and uncertainty quantification in physical systems. Notable contributions include resolving the Burrus conjecture and developing computational hypergraph discovery techniques applied to NASA JPL projects. His work bridges theory and application, addressing challenges in ill-posed inverse problems and robust statistical inference. Recent activities include presenting at SIAM conferences and workshops on inverse problems in Earth science. His Gaussian process methods have been published in journals like PNAS and SIMODS, with applications ranging from PDE solving to RNA classification. Collaborations include JPL and the Groningen seismic study. Grants & Collaborations : Ongoing work with NASA JPL on lunar rover control and computational graph discovery; Seismic modeling in the Groningen gas field with epistemic/aleatoric uncertainty frameworks. He maintains an active GitHub profile showcasing projects in machine learning and scientific computing, including repositories like DarwinProjectAnalytics and emb4class .

• Reliability Engineering
• Maintenance Optimization
• Risk and Safety Analysis
• +۸ مورد دیگر

Jørn Vatn is a Professor in reliability, availability, maintainability, and safety at the Norwegian University of Science and Technology (NTNU) , specifically within the Faculty of Engineering and the Department of Mechanical and Industrial Engineering . His work focuses on integrating risk assessment and maintenance strategies for critical infrastructure. MSc courses: TPK4120 Safety and Reliability Analysis , RAMS optimization PhD course: PK8200 Risk Influence Modelling and Risk Indicators Continuing Education: Maintenance Optimization , Safety and Reliability in Railway Applications , Project Risk Management , Risk Reducing Measures Research Interests span maintenance management, reliability modeling, condition-based maintenance, risk influence analysis, and digital twin applications in infrastructure. His methods emphasize statistical analysis and Markov processes to model degradation and optimize maintenance scheduling. The 15 most recent articles (2025-2022) demonstrate trends in applying Markov models , digital twins , and data-driven optimization to offshore wind turbines, railways, hydrogen pipelines, and cyber-physical systems. Subfields include predictive maintenance, stochastic degradation modeling, and infrastructure resilience. He leads the ROSS Gemini Centre and the RAMS group , advising on risk modeling and maintenance strategies. Collaborations involve SINTEF, industry partners, and international researchers.

Clara Marika Velteمشاهده پروفایل

دانشیار

• Fluid Mechanics
• Turbulence
• Turbulence Theory
• +۱۴ مورد دیگر

Clara Marika Velte is an Associate Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), where she serves as Head of the Turbulence Centre of Excellence. Her research is centered on fluid mechanics, particularly turbulence, with a focus on theoretical modeling, experimental design, and vortex dynamics. She is actively involved in major research initiatives funded by the European Research Council and the Poul Due Jensen Foundation. PhD in Experimental and Theoretical Fluid Mechanics, DTU (2006–2009) MSc in Turbulence, Chalmers University of Technology (2004–2005) Her research interests include turbulence theory, boundary layers, flow control, vortex dynamics, and the development of theoretical models for turbulent flows. She employs advanced techniques such as Proper Orthogonal Decomposition, Reynolds decomposition, and modal analysis to study non-equilibrium turbulence and jet dynamics. Her work bridges fundamental physics with practical applications in energy and environmental engineering. Recent publications explore triad interactions, spatio-temporal structure functions, and Lumley decomposition in turbulent round jets, indicating a strong trend toward mathematical and physical modeling of turbulence dynamics. These works are targeted at high-impact journals such as Physical Review Fluids and Journal of Fluid Mechanics , reflecting her leadership in advancing theoretical frameworks in fluid dynamics. Best paper award, SEMA’18 (2018) Kalundborg Refinery Prisen (2023) Selected for special issue in Experiments in Fluids (2010) Publication in Journal of Systemics, Cybernetics and Informatics (2009) Clara Velte supervises multiple PhD students and leads several active research projects, including the PDJF Turbulence Centre of Excellence and UniEqTURB, which challenge classical paradigms like the Richardson-Kolmogorov theory. She also contributes to academic service as a member of the Editorial Board for Philosophical Transactions of the Royal Society A . Her laboratory, the Turbulence Research Laboratory at DTU, fosters interdisciplinary collaboration and innovation in turbulence science. The Turbulence Centre of Excellence at DTU, under her leadership, operates as a state-of-the-art research hub integrating experimental, theoretical, and computational approaches. The center collaborates internationally and engages in public outreach, including media appearances on turbulence in aviation and climate systems.

• Bionanomaterials
• Single-Molecule Force Measurements
• Biosensing and In Vitro Diagnostics
• +۳ مورد دیگر

Professor Gil Lee holds the Stokes Full Professor of Physical Chemistry position at the University College Dublin, School of Chemistry . With a B.S. and Ph.D. in Chemical Engineering from Purdue University and University of Minnesota respectively, he transitioned to academia after postdoctoral research at the American Society of Engineering Education and a research engineer role at the Naval Research Laboratory. His career spans associate professorship at Purdue University (2000-2008) and adjunct roles, showcasing a trajectory marked by innovation in biomagnetic technologies . Education B.S. Chemical Engineering, Purdue University (1987) Ph.D. Chemical Engineering, University of Minnesota (1992) Postdoctoral Fellow, American Society of Engineering Education (1995) Executive Education Global EMBA, TRIUM (2016) His research is driven by three key areas : Bionanomaterials : Development of superparamagnetic microparticles for biological separations, drug delivery, and hyperthermia therapy. Techniques include iron-gold nanorods and self-assembled iron oxide nanoparticles with controlled surface chemistry. Single-Molecule Force Analysis : Pioneering work in atomic force microscopy (AFM) for quantitative force measurements, including streptavidin-biotin bond lifetime studies and magnetic tweezers for parallel ligand-receptor analysis. Biosensing & In Vitro Diagnostics : Innovations in immunomagnetic cell separation, magnetophoretic sensing, and microfluidic devices for rapid pathogen detection and cancer diagnostics. His scientific awards include the Stokes Chair (2008), E.T.S. Walton Fellowship (2006), and multiple Edison Patent Awards. He has received grants for projects in cancer diagnostics and microfluidic technologies . His teaching activities focus on advanced physical chemistry modules, emphasizing kinetics and thermodynamics, with roles as module coordinator since 2014.

Chen-Pang Yeangمشاهده پروفایل

استاد

• History of Physics
• History of Technology
• History of the Modern Physical Sciences
• +۷ مورد دیگر

Chen-Pang Yeang is a Professor at Victoria College, University of Toronto, where he also serves as Director for the Special Project on Scientific Instruments. His work bridges the history of science and engineering, focusing on the modern physical sciences and technological development from the late 19th century to the present. His research interests include the history of physics, electromagnetism, quantum information, noise in communication systems, and the interplay between scientific theory and engineering practice. He investigates how technical knowledge is produced, justified, circulated, and transformed across disciplines and communities. Key themes include instrumentation, signal processing, and the role of amateurs in technological innovation. His publications reveal a strong interdisciplinary focus, combining historical analysis with deep technical understanding. His recent work explores figures like Heinrich Hertz and Chao Yuen Ren, while also addressing broader conceptual shifts in physics and engineering, such as the emergence of cybernetics and quantum information. The articles reflect consistent engagement with both theoretical frameworks and material practices in science. Selected Scientific Contributions: Historical analysis of Hertz’s discovery of electric waves Development of radio ionospheric sounders Evolution of noise measurement in early 20th-century engineering Chao Yuen Ren’s path from linguistics to cybernetics Engineering entanglement in quantum information He has advised or collaborated on research involving wave propagation, SAR imaging, and quantum solitons. His book Probing the Sky with Radio Waves (University of Chicago Press, 2013) is a major contribution to the history of atmospheric science and wireless technology. While no formal students are listed, his collaborative projects suggest mentorship and team-based research. He is associated with no named lab or research group in the text, but his special project on scientific instruments likely involves curated research initiatives.

• Nonlinear Dynamics
• Structural Dynamics
• System Identification
• +۳ مورد دیگر

Dario Anastasio is a Fixed-term Assistant Professor in the Department of Mechanical and Aerospace Engineering (DIMEAS) at Politecnico di Torino. He is affiliated with the College of Mechanical, Aerospace, and Automotive Engineering and actively contributes to both teaching and research activities in mechanical engineering. Dr. Anastasio's research focuses on several key areas within mechanical engineering and dynamics. His primary interests include: Nonlinear dynamics and structural dynamics System identification and modal analysis Energy harvesting, particularly vibration energy harvesting Dynamics of mechanical systems with nonlinear characteristics Pantograph-catenary dynamic interaction in railway systems His work spans both theoretical modeling and experimental validation, with particular emphasis on negative stiffness oscillators, railway contact line dynamics, and nonlinear system identification techniques. Dr. Anastasio applies advanced methodologies including subspace identification, Bayesian model selection, and signal processing to solve complex mechanical engineering problems related to vibration analysis and structural dynamics. Analysis of Dr. Anastasio's publications reveals a strong focus on nonlinear dynamics, particularly in mechanical systems with complex behaviors. His research consistently bridges theoretical modeling with experimental validation across multiple domains including railway systems, energy harvesting devices, and nonlinear oscillators. The publications demonstrate progression from fundamental nonlinear dynamics research toward practical applications in railway engineering and vibration-based energy harvesting systems. Dr. Anastasio has received notable recognition for his work: Quality Award 2019 conferred by Politecnico di Torino, Italy (2020) Dr. Anastasio actively contributes to the academic community through extensive teaching activities across multiple programs. He serves as a Teaching Assistant for "Dynamics and Identification of Nonlinear Systems" and as a Course Collaborator for "Dynamics of Mechanical Systems" and "Vibration Mechanics" at both Master's and Bachelor's levels. His teaching spans from 2019/20 through the upcoming 2025/26 academic year, demonstrating his ongoing commitment to mechanical engineering education. Additionally, he contributes to PhD-level instruction in "Rotordynamics of High-Speed Rotating Machinery." Dr. Anastasio is a key member of the "Dynamics of mechanical systems and identification" research group within DIMEAS. His research integrates multiple ERC sectors including Mechanical and manufacturing engineering, ODE and dynamical systems, Signal processing, and Simulation engineering and modelling. His work aligns with Sustainable Development Goals 7 (Affordable and clean energy) and 9 (Industry, Innovation, and Infrastructure).

• Information and Communication Technology
• Electrical and Electronic Engineering
• Artificial Intelligence
• +۳ مورد دیگر

Paweł Tarnowski is a researcher at the Institute of the Theory of Electrical Engineering, Measurement and Information Systems , Faculty of Electrical Engineering, Warsaw University of Technology. His work focuses on biomedical signal processing, emotion recognition, and machine learning applications in affective computing and human-computer interaction. Research areas include Information and Communication Technology (ICT) Electrical and Electronic Engineering Artificial Intelligence Neuroscience Human Factors His recent publications highlight trends in emotion recognition using multimodal physiological signals (EEG, EOG, GSR), driver fatigue detection, and deep learning techniques like 1D-CNN for medical diagnostics. Articles also address urban traffic monitoring and neuromarketing research via EEG analysis. At Warsaw University of Technology, he supervises thesis projects and contributes to interdisciplinary research in biomedical engineering and signal processing. Labs/Teams: Institute of the Theory of Electrical Engineering, Measurement and Information Systems .

• Astrophysics
• Particle Physics
• Neutrino Astronomy
• +۵ مورد دیگر

Irene Tamborra is a Professor at the Niels Bohr Institute (University of Copenhagen) and leads the Particle Astrophysics group . She holds the Mercator Fellow visiting professorship at the Max Planck Institutes for Physics and Astrophysics in Garching, Germany. Her research bridges astrophysics and particle physics, focusing on multi-messenger astronomy through neutrinos , gravitational waves , and photons . Current research themes include: Stellar explosions (supernovae, gamma-ray bursts) Neutrino flavor evolution in extreme environments Physics beyond the Standard Model using astrophysical probes Nucleosynthesis of heavy elements Recent work (2024-2025) explores neutrino production mechanisms in compact transients, fast flavor instabilities , and multi-messenger signatures of stellar collapses. She collaborates extensively with institutions in Germany, Spain, and the US. Scientific awards: MERAC Prize (European Astronomical Society) Duggal Award (IUPAP) ERC Consolidator Award She leads the Particle Astrophysics group at the Niels Bohr Institute and contributes to supernova neutrino theory , neutrino quantum kinetics , and cosmic accelerators analysis.

• Photonics
• Quantum Optics
• Nonlinear Optics
• +۵ مورد دیگر

Ayhan Demircan is an Adjunct Professor at the Leibniz School of Optics and Photonics in Leibniz University Hannover. He leads the Micro and Nano Photonics task group and contributes to institutions including the Institute of Quantum Optics , Ultrafast Laser Laboratory , and Hannover Centre for Optical Technologies (HOT) . His work spans photonics, quantum optics, and nonlinear dynamics, with applications in terahertz technology, soliton physics, and optical modeling. Research Interests: Photonics, quantum optics, terahertz radiation, soliton dynamics, nanophotonics, and computational modeling of optical systems. Key Institutions: Leibniz School of Optics and Photonics, Institute of Quantum Optics, HOT, and PhoenixD Cluster of Excellence. Technical Expertise: Develops Python-based tools for nonlinear Schrödinger equations, optical parametric oscillators, and ultrafast laser systems. Contact: demircan@iqo.uni-hannover.de

Sven Sahleمشاهده پروفایل

پژوهشگر

• Computational Systems Biology
• Biochemical Network Modeling
• Simulation of Biological Processes
• +۲ مورد دیگر

Dr. Sven Sahle is a computational systems biologist at Heidelberg University's BioQuant center , specializing in modeling biological processes and biochemical networks. He works on dynamic time-scale decomposition, sensitivity analysis, and simulation frameworks like COPASI. Research focus: Computational systems biology Key tools: COPASI, SBML extensions, MIASE standards Institutional affiliation: University of Heidelberg His research addresses modeling biological networks, feedback inhibition dynamics, and spatio-temporal chaos patterns. Recent work explores computational frameworks for biochemical analysis and interdisciplinary simulation environments. Scientific contributions include developing modeling standards and decomposition methods. He collaborates with international teams on simulation experiments and network analysis.