جست‌وجوی استاد و پژوهشگر

Christopher Stubbsمشاهده پروفایل

استاد

• Astrophysics
• Cosmology
• Astronomical Instrumentation
• +۳ مورد دیگر

Christopher Stubbs is a Professor in the Departments of Physics and Astronomy at Harvard University's Faculty of Arts and Sciences. He also serves as the Senior Advisor on AI for the Dean of the FAS, focusing on integrating generative AI into Harvard's academic missions. His research interests include astrophysical instrumentation, cosmology, gravitational physics, and precision photometry. Notable contributions involve advancing telescope calibration methods, analyzing gravitational interactions in elliptical galaxies, and leading large-scale observational projects like the Pan-STARRS survey and the Vera C. Rubin Observatory. Stubbs has authored over 150 articles since 2020, with recent work emphasizing: Development of next-generation tools for sub-percent photometric precision (e.g., PANDORA and MOSS instruments) Multi-messenger astronomy, including gravitational wave follow-up observations with Pan-STARRS and ATLAS Advances in lunar laser ranging and precision gravity measurements Optical sensor technologies for improving telescope performance His current projects include optimizing strategies for the Rubin Observatory's Legacy Survey of Space and Time (LSST) and exploring AI-driven enhancements for astronomical data analysis. No scientific awards are explicitly listed in the provided materials. Stubbs has not listed advisees or grant details in the available texts, though his roles suggest involvement in major institutional collaborations and observatory initiatives.

Robert DeSerioمشاهده پروفایل

مدرس ارشد

• Physics Education
• Experimental Physics
• Educational Technology
• +۳ مورد دیگر

Robert DeSerio is a Senior Lecturer and Director of Undergraduate Laboratories in the Department of Physics at the University of Florida, holding a PhD from the University of Chicago (1981). His work focuses on educational innovation in physics, particularly through designing hands-on experimental apparatus for introductory and advanced physics laboratories, integrating computer interfaces, and creating student guides for equipment usage. His research interests emphasize experimental physics education , pedagogical techniques , and modernization of undergraduate labs . He has developed tools for laboratory experiments in nonlinear dynamics, computational data acquisition, and quantum mechanics, often leveraging cost-effective or accessible technologies like quartz tuning forks for superfluid studies. The University of Florida Introductory Physics Experiments series exemplifies his commitment to accessible, repeatable educational resources. DeSerio’s publications span chaos theory , data analysis , and atomic physics , with a recurring focus on bridging experimental design and pedagogy. Key works include studies on chaotic pendula, Savitsky-Golay filters, and quantum coherence in hydrogen states. His collaborations with institutions like the National Science Foundation highlight contributions to faculty training programs.

Christian Schmeiserمشاهده پروفایل

استاد

• Nonlinear Partial Differential Equations
• Kinetic Transport Equations
• Mathematical Biology
• +۴ مورد دیگر

Christian Schmeiser is a Professor at the Faculty of Mathematics, University of Vienna. He is a founding member of the Vienna PDE Center (WPI) and Deputy Speaker of the Vienna Center for Partial Differential Equations. His research focuses on nonlinear PDEs, kinetic transport equations, and mathematical biology. He has led multiple research projects funded by the Austrian Science Fund (FWF), the Vienna Science and Technology Fund (WWTF), and the European Union. His academic roles include leadership in doctoral programs such as the 'Signaling Mechanisms in Cellular Homeostasis' and 'Dissipation and Dispersion in Nonlinear PDEs.' He has advised over 20 PhD students, including notable researchers like Dietmar Ölz and Sabine Hittmeir. His work bridges theoretical analysis (e.g., hypocoercivity, asymptotic methods) and applications in cell biology and semiconductor physics. Recent projects include modeling cell migration mechanisms, actin dynamics, and collective behavior in myxobacteria. He has contributed to numerical methods for hyperbolic conservation laws and stochastic processes. His research has been published in top journals like Archive for Rational Mechanics and Analysis and Journal of Differential Equations .

Joachim Dzubiellaمشاهده پروفایل

استاد

• Soft Matter Physics
• Statistical Mechanics
• Electrolyte Dynamics
• +۵ مورد دیگر

Prof. Joachim Dzubiella is a Professor and Group Leader of the Applied Theoretical Physics - Computational Physics group at the Institute of Physics, University of Freiburg. He also leads the Joint Research Group Simulation of Energy Materials at Helmholtz-Zentrum Berlin. His research focuses on modeling soft matter systems, including electrolytes, polymers, and colloids, with applications in energy materials and biomimetic design. Research Interests: Statistical mechanics of complex fluids Computer simulations (molecular dynamics, Langevin dynamics) Applications in battery materials, catalysis, and self-regulating hydrogels Recent work emphasizes collective phenomena in active matter systems and multistimuli-responsive materials. His team has developed models for chemically fueled systems and energy material dynamics. Grants and Collaborations: DFG-SPP 2248 on Polymer-Based Batteries Joint Helmholtz-Zentrum Berlin collaboration Labs/Teams: Head of the Applied Theoretical Physics group at Freiburg, coordinating interdisciplinary projects in energy materials and soft matter physics.

• Active Matter
• Topological Insulators
• Nonlinear Dynamics
• +۳ مورد دیگر

Vincenzo Vitelli is Professor in the Department of Physics and James Franck Institute at the University of Chicago. His research spans complex systems at the intersection of physics, engineering, and applied mathematics, including biophysics, active matter, machine learning, robotics, metamaterials, topological insulators, hydrodynamics, and soft materials. The Vitelli Group investigates phenomena arising from nonlinearities, disorder, and far-from-equilibrium dynamics using analytical and numerical approaches. Current projects explore nonlinear x-ray interactions, odd elastic properties, machine learning for physical systems, and topological mechanics. The group maintains active collaborations with multiple experimental teams. Vitelli has received several honors including being named a Fellow of the American Physical Society (2018) and Kavli Frontiers of Science Fellow (2015). He currently advises 8 PhD students and has mentored over 15 doctoral graduates. The group has received funding from multiple sources including the National Science Foundation and Department of Energy.

Reid Simmonsمشاهده پروفایل

استاد پژوهشی

• Autonomous Systems
• Robotics
• Artificial Intelligence
• +۵ مورد دیگر

Reid Simmons is a Research Professor at the Robotics Institute , part of the School of Computer Science at Carnegie Mellon University . His work focuses on creating reliable, highly autonomous systems that operate in uncertain environments, particularly mobile robots. He leads the Reliable Autonomous Systems Lab and serves as Director of the Artificial Intelligence Major at CMU. Research Interests: Autonomy, AI reasoning, human-robot interaction, multi-robot coordination, probabilistic planning Projects: SUCCESS (proficiency metrics), Social Robot (personality-driven interaction), Data Analysts (AI for data science) Recent Publications: 15 articles (2017-2023) on topics like human-robot teaming, machine teaching, and affective computing His research emphasizes model-based reasoning , error recovery , and socially acceptable robot behavior , including projects like the Tank and Victor robots for interactive tasks. Students and affiliates span PhD/Master's programs, with past advisees now leading in robotics (e.g., Heather Knight, Christopher Urmson).

P. Jeffrey Brantinghamمشاهده پروفایل

استاد

• Human Behavior in Complex Environments
• Mathematical and Computational Modeling
• Crime and Policing
• +۷ مورد دیگر

P. Jeffrey Brantingham is a Professor at the University of California, Los Angeles (UCLA), affiliated with the College of Social Sciences and the Department of Archaeology. His research bridges criminology and archaeology, focusing on human behavior in complex environments, mathematical modeling of crime, and prehistoric cultural evolution. Education: Ph.D. in Anthropology from the University of Arizona (1999). His work integrates computational methods with empirical studies, analyzing gang dynamics, crime hotspots, and hunter-gatherer societies. Collaborations include predictive policing algorithms and social media sentiment analysis. Research spans archaeological investigations in Tibet and China, exploring early human settlements and stone tool technologies. He also examines modern issues like pandemic-era crime trends and hate speech discourse, emphasizing data-driven solutions. Recent publications highlight spatial-temporal crime modeling, knowledge graphs for crime analysis, and evolutionary approaches to cultural behavior. His interdisciplinary approach addresses both historical and contemporary societal challenges.

Michael W. Otteمشاهده پروفایل

استادیار

• Multi-robot Systems
• Autonomous Robotics
• Motion Planning and Replanning
• +۴ مورد دیگر

Michael W. Otte is an Assistant Professor at the University of Maryland, College Park, with a home appointment in the Department of Aerospace Engineering and an affiliate appointment in the Department of Computer Science. He is the Director of the Motion and Teaming Laboratory (Mo-T Lab) and a member of the Maryland Robotics Center. His research focuses on algorithms for autonomous robots and multi-agent systems, including collective cognition in swarms, motion planning, and decentralized coordination under communication constraints. Education: Ph.D. '11 in Computer Science (University of Colorado at Boulder), M.S. '07 in Computer Science, B.S. '05 in Aeronautical Engineering and Computer Science (Clarkson University). Prior appointments include postdoctoral roles at the U.S. Naval Research Laboratory and the Air Force Research Laboratory. Research interests span multi-robot systems, swarm intelligence, motion replanning in dynamic environments, and distributed sensing. His lab develops algorithms for challenges like collective computation in swarms, efficient replanning, and communication-limited collaboration. Notable contributions include the RRT-X replanning algorithm, distributed neural networks across swarms (Group Mind), and the C-FOREST parallel planning framework. Recent awards include the 2023 Best Faculty Advisor Award. Active roles include Program Chair for the 2024 DARS conference and organizing ICRA workshops on multi-robot communication challenges. Students advised include Alexander Mendelsohn, Sharan Nayak, and others. The Mo-T Lab collaborates with institutions like NASA, Northrop Grumman, and DARPA, addressing applications in hazardous environments and autonomous systems.

Jnaneshwar Dasمشاهده پروفایل

استادیار

• Robotics
• Machine Learning
• Autonomous Systems
• +۳ مورد دیگر

Jnaneshwar Das is a Research Assistant Professor at Arizona State University's School of Earth and Space Exploration (SESE), serving as core faculty at the Center for Global Discovery and Conservation Science (GDCS) and a collaborator with the Digital Discovery Initiative (DDI). He directs the Distributed Robotic Exploration and Mapping Systems (DREAMS) Lab, focused on autonomous robotic systems and cyber-physical twins for terrestrial, aquatic, and extraterrestrial exploration. His work integrates robotics, machine learning, and environmental monitoring to advance applications in geology, oceanography, and precision agriculture. Professional Affiliations: SESE, Water Institute, GDCS, Walton Center for Planetary Health Lab Focus: Robotic systems for environmental sampling, 3D mapping, and digital twin development Key Projects: EarthRover, CoRAL (Collaborative Robotic Aquatic Laboratory), and planetary exploration tools Research interests include robotics for extreme environments, autonomous systems for environmental monitoring, and decision-theoretic approaches to optimize sampling strategies. His lab develops low-cost robotic platforms like the ShakeBot for seismic studies and the Flippy quadrotor for acrobatic delivery. Recent publications highlight innovations in terrestrial observing networks, high-altitude balloon payloads, and virtual simulation tools for planetary geology. Advising Ph.D. student Rodney Staggers Jr., his work bridges robotics, earth sciences, and space exploration.

Alexei Novikovمشاهده پروفایل

استاد

• Applied Analysis
• Probability
• Stochastic Processes
• +۴ مورد دیگر

Alexei Novikov is a Professor in the Department of Mathematics at Pennsylvania State University, affiliated with the Eberly College of Science. He holds a Ph.D. from Stanford University (1999). His research focuses on applied analysis, probability, stochastic processes, and their applications in fluid dynamics, imaging science, and materials modeling. Key areas include wave propagation in complex media, sparse signal recovery, and homogenization techniques for heterogeneous systems. His teaching includes advanced courses such as Functional Analysis (Math 503), Stochastic Calculus (Math 519), and Differential Equations (Math 251). He has led NSF-funded research on transport phenomena in heterogeneous media and contributed to algorithm development for imaging in complex environments. Notable works include studies on eddy viscosity in cellular flows, network approximation methods, and fractional kinetic processes. Novikov’s recent work emphasizes interdisciplinary applications, including neural network approaches for super-resolution imaging and stochastic models for knowledge diffusion. His publications span journals like Communications on Pure and Applied Mathematics , SIAM Journal on Mathematical Analysis , and Inverse Problems .

Sidney Givigiمشاهده پروفایل

استاد

• Robotics
• Machine Learning
• UAV Control
• +۵ مورد دیگر

Sidney Givigi is a Professor at Queen's University, associated with the School of Computing within the Faculty of Arts and Science. His research focuses on Robotics, Machine Learning, UAV Control, and Multi-Vehicle Systems. He leads projects in autonomous systems, swarm intelligence, and reinforcement learning applications. His work addresses challenges in autonomous vehicle coordination, adversarial attack mitigation in intelligent systems, and real-time decision-making algorithms. Collaborative perception under adverse conditions and dynamic system control are key research themes. Research highlights include the TRATSS task scheduling system for autonomous vehicles, the IPRPAS benchmark dataset for adversarial sample analysis, and innovations in UAV software update protocols. His contributions span theoretical frameworks and practical implementations in robotics and AI. He is affiliated with the Ingenuity Labs Research Institute, advancing translational research in automation and intelligent systems. No academic awards or student advisement information is explicitly documented in the provided texts.

Hassan Masoudمشاهده پروفایل

دانشیار

• Interfacial and multiphase flows
• Fluid-structure interaction
• Collective effects
• +۲ مورد دیگر

Dr. Hassan Masoud is an Associate Professor in the Department of Mechanical Engineering at Clemson University , where he joined in July 2024. He leads the Complex Fluids and Active Matter (CFAM) Lab , focusing on fluid dynamics with interactive boundaries across multiple scales. Education: Ph.D., Mechanical Engineering, Georgia Institute of Technology (2012) M.S., Mechanical Engineering, State University of New York at Buffalo (2009) B.S., Aerospace Engineering, Sharif University of Technology (2006) Research Interests: Interfacial and multiphase flows Fluid-structure interaction Collective effects Hydrodynamics of soft and active matter Flow through porous media Publications Trends: His work spans fluid dynamics, robotics, and transport phenomena, with a focus on Marangoni propulsion, droplet dynamics, and collective behavior in active matter. Recent articles explore applications in bioinspired robotics and microfluidics. Scientific Awards: NSF CAREER Award Editorial Role: He currently serves as an Associate Editor of the Journal of Engineering Mathematics .

Trenton Wirthمشاهده پروفایل

استادیار

• Self-Organized Systems
• Human-Computer Interaction
• Visual Control of Motion
• +۳ مورد دیگر

Trenton Wirth is an Assistant Professor in the Psychology Department at the University of Cincinnati, focusing on technical education for PhD students. His work emphasizes human-computer/robot interaction, visual control of motion, and self-organized systems, with contributions to the FreeMoCap Project in spatial computing. Education: PhD in Cognitive Science from Brown University (2021); B.S. in Psychology and B.A. in Philosophy from University of Cincinnati (2014). Research Interests: Self-Organized Systems , Human-Computer Interaction , and Visual Control of Motion . He explores collective dynamics in human crowds, visual guidance mechanisms, and spatial computing applications in augmented/virtual reality environments. His publications analyze crowd behavior through models like weighted-averaging and explore perceptual-motor coordination in dynamic environments. The FreeMoCap Project demonstrates his applied focus on software development for motion capture systems. No scientific awards or grants are explicitly listed in the provided materials.

Jonathan Selingerمشاهده پروفایل

استاد

• Liquid Crystals
• Nanoparticle Suspensions
• Topological Defects
• +۳ مورد دیگر

Jonathan Selinger is Professor of Physics and Ohio Eminent Scholar at Kent State University's Liquid Crystal Institute. He holds a Ph.D. in Physics from Harvard University (1989) and has held research positions at UCLA, Caltech, and the Naval Research Laboratory before joining Kent State in 2005. His research explores the theory of soft materials, including liquid crystals, nanoparticle suspensions, topological defects, and statistical mechanics, with applications bridging fundamental physics and technology. Research interests focus on geometric frustration in chiral systems, dynamics of topological defects, flexoelectric phenomena, and applications of liquid crystals in advanced materials. Recent publications emphasize theoretical frameworks for defect behavior in nematic systems, including solitons, skyrmions, and Hopfions, with applications to morphing surface technologies and reconfigurable materials.

Elena Litvinovaمشاهده پروفایل

استاد

• Nuclear Physics
• Quantum Field Theory
• Nuclear Astrophysics
• +۶ مورد دیگر

Elena Litvinova is a Professor of Theoretical Nuclear Physics at Western Michigan University (WMU) and an adjunct faculty member at Michigan State University (MSU). Her research focuses on relativistic nuclear many-body theory, quantum field theory, and nuclear astrophysics. She holds a Ph.D. in Nuclear and Particle Physics from the Joint Institute for Nuclear Research (Dubna, Russia). Her teaching interests include nuclear physics and quantum mechanics. Education: Ph.D., Nuclear and Particle Physics, Joint Institute for Nuclear Research, Dubna, Russia (2003) Professional Roles: WMU Nuclear Theory Group leader, former research associate at GSI Helmholtzzentrum (Germany), and Alexander von Humboldt Fellow at TU Munich (2005–2007). Research Interests: Relativistic nuclear many-body problem, electromagnetic response of nuclei (e.g., giant resonances), beta-decay studies, superfluid nuclear systems, and applications to astrophysical scenarios like neutron star mergers and supernovae. Her work emphasizes computational methods like relativistic quasiparticle random phase approximation (RQRPA) and quantum computing for nuclear structure problems. Key Projects: PANDORA project (studying photo-nuclear reactions in light nuclei) and contributions to understanding nuclear response at finite temperatures. Recent studies include low-lying electric dipole strength distributions in Sn isotopes and quantum algorithms for many-body systems. Labs/Teams: Leads the WMU Nuclear Theory Group, collaborates with international teams including NSCL (National Superconducting Cyclotron Laboratory) and iThemba LABS (South Africa).