جست‌وجوی استاد و پژوهشگر

• Computational and Experimental Acoustics
• Mechanics and Design of Acoustic/Elastic Metamaterials
• Solid Mechanics
• +۴ مورد دیگر

Hyeonu Heo is an Assistant Professor in the Mechanical Engineering Department at the University of Akron 's College of Engineering and Polymer Science. He joined the faculty in 2024 after serving as a postdoctoral scholar at Penn State University 's Graduate Program in Acoustics (2022-2024) and a postdoctoral fellow in Physics at the University of North Texas (2017-2022). Education: Ph.D. in Mechanical Engineering, University of North Texas (2016) M.E. in Mechanical Engineering, Korea Aerospace University (2012) B.E. in Aerospace Engineering, Korea Aerospace University (2010) Dr. Heo's research focuses on acoustic metamaterials , phononic crystals , and advanced manufacturing techniques for applications in tire noise reduction, vibration control, and ultrasonic technologies. His work explores computational and experimental acoustics, non-reciprocal wave propagation, and thermomechanical properties of hierarchical structures. Recent publications highlight his contributions to contactless ultrasonic power transfer , nonlinear acoustic manipulation , and metamaterials for underwater sensing . His research has theoretical and practical implications in mechanical engineering, biomedical applications, and materials science. Scientific Awards: Early Career Travel Award from the Acoustical Society of America (2022) Postdoctoral Fellowship from the Japan Society for the Promotion of Science (2021) Outstanding Graduate Student Scholarship from the Korea-American Scientists and Engineers Association ASME North Texas Chapter Outstanding Graduate Student Scholarship (2016) Society of Plastics Engineers Scholarship (2015)

• Network Science
• Applied Dynamical Systems
• Mathematical Biology
• +۴ مورد دیگر

Joel Nishimura is an Associate Professor at Arizona State University's School of Mathematical and Natural Sciences. His research spans several interconnected fields including network science, dynamical systems, and mathematical biology. He focuses on how simple rules can create complex behaviors and structures, with applications in biological systems, network algorithms, and engineered protocols. Dr. Nishimura received his Ph.D. from Cornell University in 2013. His dissertation explored decentralized coordination and how actors with limited information can coordinate their timing. His research interests include Network Science, Applied Dynamical Systems, Mathematical Biology, Mathematical Modeling, and Game Theory. A unifying feature of his work is examining how simple rules can create complex behaviors and structures. In biological settings, these simple models capture key qualitative features of observed behaviors, suggesting generalizable principles. In network settings, simple rules form the basis for predictive algorithms, while in engineered settings, they serve as backbones for robust decentralized protocols. Analysis of Dr. Nishimura's recent publications reveals a strong focus on network science and its applications across multiple domains. His work spans theoretical foundations of graph theory and network models, applications to social and biological systems, and connections to decision-making processes and game theory. A notable trend is his consistent exploration of how simple rules or interactions can produce complex emergent phenomena, whether in network structures, biological behaviors, or decision-making processes. Dr. Nishimura has supervised several undergraduate and graduate students, as indicated by the asterisks and other symbols in his publication record. His teaching includes courses such as Applied Linear Algebra (MAT 343), Individualized Instruction (MAT 499), Honors Directed Study (MAT 492), and Honors Thesis (MAT 493). His research has been supported by various grants, though specific details are not provided in the available information. His GitHub repository for the "Double Edge Swap MCMC Graph Sampler" suggests involvement in computational tools development for network science research.

Sushil Dorangaمشاهده پروفایل

استادیار

• Force Reconstruction
• Nonlinear Structural Dynamics
• Inverse Problem Modeling
• +۴ مورد دیگر

Dr. Sushil Doranga serves as an Assistant Professor in the Department of Mechanical Engineering at Lamar University's College of Engineering since September 2019, following his role as an Advanced Lead Engineer at General Electric Canada's transport intelligence division where he specialized in quantifying pin fretting in electronic connectors under vibration. His academic credentials include: Ph.D. in Mechanical Engineering, University of Manitoba, Winnipeg (2015) M.E.S. in Mechanical Engineering, Lamar University, Beaumont (2009) B.S. in Engineering, Tribhuvan University, Pulchowk Campus, Nepal (2003) Dr. Doranga's research centers on Force Reconstruction in Dynamic Systems and Nonlinear Structural Dynamics , with pioneering work on the “reverse explicit theory” for identifying nonlinear systems under base excitation—a critical advancement for space industry vibration testing where force measurements are impractical. His expertise spans Electronics Components Vibrations , Rail Dynamics , and Structural Health Monitoring , addressing real-world challenges in vibration analysis where displacement/acceleration inputs dominate practical engineering structures. His publication record (2009-2023) reveals a consistent trajectory from foundational nonlinear system identification (2013-2016) toward applied electronics reliability, with recent focus (2021-2023) on BGA solder joint fatigue, PCB connector fretting wear, and automotive vibration solutions. These works demonstrate cross-disciplinary integration of Stochastic Signal Analysis with mechanical testing methodologies.

• Substance Use Behavior
• Self-Regulation
• Affect Regulation
• +۵ مورد دیگر

Jeffrey Simons is a Professor in the Department of Psychology at the University of South Dakota, where he has established himself as a leading researcher in substance use behavior, self-regulation processes, and trauma-related psychological phenomena. His work integrates clinical psychology with advanced statistical methodologies, with particular focus on alcohol use disorders, PTSD, and their interrelationships. Dr. Simons maintains an active research program with numerous NIH-funded grants spanning multiple decades. Dr. Simons earned his BA in Psychology from the University of Colorado-Boulder in 1991, followed by an MS (1996) and PhD (2000) in Clinical Psychology from Syracuse University. He is a Licensed Psychologist with the South Dakota Psychology Association and has received significant recognition for his work, including the USD President's Award for Research Excellence in 2020 and 2004. His research focuses primarily on substance use behavior as an area to study self-regulation, examining factors that differentiate problematic from non-problematic use. He investigates the role of affect, self-control, and personal goals in self-regulation processes, with additional interests in individual difference constructs such as affect lability and distress tolerance. His methodological expertise includes structural equation modeling, multi-level modeling, generalized linear models, and experience sampling methods using palmtop computers to examine within-person associations with alcohol-related problems. Analysis of Dr. Simons' recent publications reveals a strong emphasis on trauma-related research, particularly examining the intersections between PTSD, alcohol use disorders, and emotional dysregulation. His work frequently employs network analysis and experience sampling methods to understand within-person processes. There's a clear trajectory toward more complex statistical approaches and collaborative multi-site research, especially in neuroimaging studies related to trauma. USD President's Award for Research Excellence, USD, 2020 President's Award of Research Excellence, University of South Dakota, 2004 Phi Beta Kappa, University of Colorado, 1991 Dr. Simons has successfully secured substantial research funding from multiple NIH institutes including NIAAA and NIMH, as well as the Department of Defense. His current grants include studies on alcohol and sexual decision-making among MSM, PTSD and AUD interactions, and experience sampling studies of sleep, PTSD, and alcohol. He has mentored numerous students and collaborators who frequently co-author his publications, suggesting an active laboratory environment focused on trauma and substance use research. His research team appears to be highly collaborative, working with multiple institutions on large-scale projects like the ENIGMA PTSD consortium. The lab likely employs experience sampling methods and advanced statistical approaches to examine within-person associations related to alcohol use and mental health outcomes. Dr. Simons' work bridges clinical psychology with methodological innovation, creating a unique niche in understanding the dynamic processes underlying substance use disorders and trauma-related conditions.

Hamish Oliverمشاهده پروفایل

مدرس

• Interactive Music for Video Games
• Adaptive Audio Systems
• Sound Design for Theatre
• +۲ مورد دیگر

Hamish Oliver serves as a Lecturer in Digital Screen within the Faculty of Arts at the University of Canterbury since 2006. Holding a Master's degree in composition, he bridges academic instruction with extensive professional practice in audio for interactive media and performance. His research focuses on interactive music systems for video games , adaptive audio implementation , and orchestral arrangement of contemporary music . Oliver pioneers techniques for dynamic audio that responds to user input in gaming environments while maintaining artistic integrity. His work explores the intersection of traditional composition and emerging technologies in live performance contexts. Notable achievements include the 2015 APRA Professional Development Award for video game composition, supporting his development of middleware proficiency (Wwise). His publications demonstrate expertise in VR training systems, game audio constraints, and theatrical game integrations. As musical director for major civic events including Christchurch earthquake memorials attended by international dignitaries, Oliver demonstrates leadership in large-scale audio production. His professional activities span performance with major orchestras, international touring, and commission work for New Zealand's leading cultural institutions.

Morgan Rogersمشاهده پروفایل

دانشیار

• Category Theory
• Topos Theory
• Mathematical Logic
• +۱ مورد دیگر

Morgan Rogers is an Associate Professor specializing in category theory, with a focus on abstractions that isolate essential problem-solving features. His research centers on toposes of actions of monoids and expanding mathematical toolkits. His work bridges mathematical logic, algebraic structures, and theoretical computer science, developing frameworks for understanding complex systems through categorical approaches. His research interests include category theory, topos theory, and algebraic structures, with applications in lambda calculus, linear logic, and topological dynamics. Recent publications explore geometric theories, endomorphism monoids, and factorization systems in categorical frameworks. Rogers' articles demonstrate consistent focus on categorical foundations of algebra and logic, with innovations in modeling computational systems and topological representations. Theoretical contributions advance understanding of monoid actions and their categorical representations.

• Quantum Dynamics
• Theoretical Chemical Physics
• Molecular Electronics
• +۳ مورد دیگر

Randall Dumont is an Associate Professor in the Department of Chemistry & Chemical Biology at McMaster University. He specializes in theoretical chemical physics with a focus on quantum dynamical processes, particularly relativistic electron tunneling and molecular electronic devices. His research explores topics like superluminal tunneling times and symmetry effects in particle flight dynamics. Education: Ph.D. in Theoretical Chemistry (University of Toronto, 1986); Postdoctoral Fellow in Theoretical Chemistry (Columbia University, 1987); Honors BSc (University of Western Ontario, 1981). Teaching: Instructs courses such as General Chemistry for Engineering (CHEM 1E03), Mathematical Tools for Chemical Problems (CHEM 3PC3), and Quantum Mechanics & Spectroscopy (CHEM 3PA3). His teaching spans foundational chemistry, thermodynamics, and advanced mathematical methods in chemistry. Research: Over 50 publications (1986–2024) in journals like Physical Review A , Journal of Chemical Physics , and Entropy . Key themes include molecular dynamics simulations, quantum tunneling, and computational methods in chemistry. Labs/Teams: Active in quantum dynamics and molecular electronics research groups at McMaster. Current projects investigate relativistic electron tunneling timing mechanisms.

George Em Karniadakisمشاهده پروفایل

استاد

• Scientific Machine Learning
• Fractional PDEs
• Uncertainty Quantification
• +۷ مورد دیگر

George Em Karniadakis is the Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics and Professor of Engineering at Brown University. He holds joint appointments in the Department of Applied Mathematics and Engineering, with affiliations at PNNL and MIT as Visiting Professor. His research focuses on Scientific Machine Learning, fractional PDEs, uncertainty quantification, and biophysics, with notable contributions to computational fluid dynamics, neurovascular coupling, and multiscale modeling. Education: Ph.D. (1987) and S.M. (1984) from MIT. Prior roles include Assistant Professor at Princeton, Visiting Professorships at Caltech and Stanford's Center for Turbulence Research. Research Interests: Karniadakis pioneers Scientific Machine Learning to solve PDEs without grids, leveraging gappy data. His work spans fractional calculus applications, stochastic multiscale methods, and biological systems modeling (e.g., sickle cell anemia, malaria). Recent efforts include neurovascular coupling in the brain and fractional PDE theory. Articles Trends: His work bridges computational mathematics and biomedical applications, emphasizing fractional calculus, fluid-structure interaction, and high-performance computing. Notable work includes modeling cerebral aneurysms and red blood cell dynamics. Awards: SIAM Fellow (2010), APS Fellow (2004), ASME Fellow (2003), SIAM Kleinman Award (2015), and the inaugural J. Tinsley Oden Medal (2013). He holds an h-index of 102 and ~55,500 citations. Grants & Leadership: Lead PI of MURI projects on Fractional PDEs and Uncertainty Quantification. Directed DOE centers PhILMs and CM4. Advises on multiscale modeling and parallel computing. Labs/Teams: Directs the CRUNCH Group at Brown, focusing on fluid dynamics, biophysics, and high-performance computing. Collaborates internationally on projects like blood flow modeling and brain aneurysm simulations.

Tarek Anousمشاهده پروفایل

مدرس ارشد

• Quantum Field Theory
• Theoretical Physics
• Holographic Dualities
• +۴ مورد دیگر

Tarek Anous is a Senior Lecturer in Mathematical Sciences at Queen Mary University of London (UKRI Future Leaders Fellow). He holds a position within the School of Mathematical Sciences, focusing on theoretical physics research with strong ties to quantum gravity and holography. His work explores de Sitter space cosmology, black hole physics, and string theory applications. Anous' research group investigates topics such as quantum field theory in expanding spacetimes, holographic dualities (e.g., AdS/CFT), and the interplay between quantum mechanics and gravitational systems. Education details are not explicitly stated in the provided texts, but his academic trajectory is evident through his publications and research focus. His research interests include exact solvable models in de Sitter backgrounds, low-dimensional gravity models, and disordered systems mimicking black hole behavior. Notable collaborations include work with Dionysios Anninos on topics like discrete series representations and rotating black hole horizons. His advising includes PhD student Johnny Brendan Gleeson. Anous' work has been supported through fellowships and grants, though specific funding bodies are not listed. He maintains an active research group with current and past members engaged in cutting-edge theoretical physics projects. His webpage tarek-ano.us provides further details on ongoing research and collaboration opportunities. Key research trends from his articles include advancements in de Sitter quantum field theory (e.g., Schwinger model analysis), exploration of black hole phase transitions (rotating horizons), and development of holographic models for glassy systems. He frequently employs techniques from conformal field theory, string theory, and quantum mechanics to address foundational questions in gravitational physics.

Ken Maoمشاهده پروفایل

استاد

• Polymer Composite Materials
• Gear Design and Lightweight Systems
• Finite Element Analysis
• +۴ مورد دیگر

Professor Ken Mao is a Mechanical Engineering academic at the University of Warwick's School of Engineering. He specializes in polymer composite materials, gear design optimization, and tribology applications across automotive, healthcare, and additive manufacturing domains. His research integrates advanced numerical simulations with experimental validation methods. Research focuses include: Lightweight polymer composite gear systems for EVs and motorcycles Non-linear FEM analysis of gear transmission and tyre contact systems 3D printed polymer gear performance under dynamic loads Over 100 peer-reviewed publications demonstrate his work on polymer gear wear mechanics, additive manufacturing parameters, and biocompatible materials. Active industrial collaborations include projects with TVS Motors, Innovate UK, and DSM. Teaching responsibilities include advanced mechanical design modules covering finite element methodologies and lightweight gearbox optimization principles. Current projects: Lightweight motorcycle gearbox development (funded by TVS Motors) Innovate UK-supported polymer gear design initiatives Office location: F327 School of Engineering, Coventry CV4 7AL. Advice hours: Wednesdays 11:00-13:00 during term time.

• Algorithms
• Combinatorics
• Computational Complexity
• +۴ مورد دیگر

Xavier Molinero Albareda is a Professor at the University of Politècnica de Catalunya (UPC) , affiliated with the Terrassa Faculty of Optics and Optometry (FOOT) and the Department of Mathematics . He is a core member of the ALBCOM Research Group (Algorithms, Bioinformatics, Complexity and Formal Methods) and the GRTJ Research Group (Game Theory). Education: Holds a degree in Mathematics and a Doctorate in Mathematics from UPC. His academic career has been continuous with no indication of retirement or former status. Research Interests: Focuses on Algorithms , Combinatorics , Computational Complexity , and Game Theory , with applications to Social Networks . His work bridges theoretical foundations with practical applications in areas like voting systems, network analysis, and cognitive science. Recent projects include studies on typeface legibility, influence games in signed networks, and optimization of weighted voting mechanisms. Grants & Projects: Involved in competitive R&D projects such as ALGECOM (Algorithmics and Combinatorics) and ALINEX (Algorithms: Engineering and Experimentation). Collaborates on interdisciplinary initiatives like Complex Networks and Social Influence Analysis . Labs/Teams: Leads the Game Theory and Social Networks subgroup within ALBCOM, focusing on computational models for strategic interactions and network dynamics.

• Psychometrics
• Personality Assessment
• Predictive Modeling
• +۳ مورد دیگر

Bo Zhang is an Assistant Professor at the University of Illinois, holding dual appointments in the School of Labor and Employment Relations and the Psychology Department. His research focuses on psychometrics, personality assessment, and predictive modeling, with a particular emphasis on forced-choice measurement, bifactor models, and item response theory. He has contributed to developing innovative assessment tools, such as game-based evaluations for complex problem-solving and chatbot-driven career guidance systems. His work addresses challenges in measurement validity, response process heterogeneity, and the integration of AI in psychological assessments. Collaborations span organizational behavior, educational psychology, and special education, reflecting his interdisciplinary approach. Media contributions highlight his work on personality assessment tools and stress perception in professional settings. Education details are not explicitly provided but inferred from his academic role. Research interests include faking detection in assessments, contextualization strategies for validity, and the application of statistical models to psychological phenomena. He has published over 48 peer-reviewed articles and actively engages in media dissemination of scholarly findings.

• Empirical Corporate Finance
• Banking
• Financial Economics
• +۵ مورد دیگر

Dimas Mateus Fazio is an Assistant Professor in the Department of Finance at the National University of Singapore (NUS) Business School, specializing in empirical corporate finance, banking, networks, and labour economics. His research focuses on creditor rights reforms, unemployment insurance, and financial stability. MRes and PhD in Finance from London Business School MSc in Economics from the University of São Paulo BA in Economics from the University of Brasília His research bridges finance and economics, with a particular emphasis on how institutional frameworks (e.g., unemployment insurance, creditor rights, inflation targeting) affect credit allocation, firm risk-taking, and labor markets. He explores the economic implications of public procurement discretion, judicial quality, and monetary policy in both developed and emerging economies. Recent publications highlight trends in Brazilian banking reforms, bid-rigging networks, and the role of policy in entrepreneurial finance. His work spans empirical methodologies, institutional analysis, and macroeconomic modeling. Teaching interests include Corporate Finance and Mergers & Acquisitions.

Maani Ghaffariمشاهده پروفایل

استادیار

• Robotics
• Autonomous Systems
• Applied Mathematics
• +۷ مورد دیگر

Maani Ghaffari is an Assistant Professor in the Department of Naval Architecture and Marine Engineering and Robotics at the University of Michigan. His work focuses on robotics, autonomous systems, and the integration of applied mathematics with machine learning. He leads the Computational Autonomy and Robotics Laboratory, advancing research in sensor fusion, state estimation, and geometric control. Ghaffari teaches courses such as NA/EECS 568: Mobile Robotics and ROB 101: Computational Linear Algebra . His research interests include robotic perception, planning under uncertainty, and invariant filtering techniques for navigation systems. He has developed frameworks like GPS-DRIFT for marine robotics and contributed to SLAM algorithms for surgical and underwater applications. Ghaffari's work emphasizes robustness in dynamic environments, leveraging Lie algebraic methods and equivariant neural networks. Notable contributions include correspondence-free point cloud registration, Bayesian semantic mapping, and energy-based terrain modeling for legged robots. His research bridges theory and practice, with applications in surgery navigation, autonomous vehicles, and industrial anomaly detection.

Nathaniel Johnstonمشاهده پروفایل

پژوهشگر

• Quantum Information Theory
• Quantum Entanglement
• Matrix Analysis
• +۱۶ مورد دیگر

Nathaniel Johnston is a researcher specializing in quantum information theory, combinatorics, and computational mathematics. He is the creator of QETLAB , a MATLAB toolbox for quantum entanglement, and the founder of ConwayLife.com , a major resource on cellular automata including the comprehensive LifeWiki. He also maintains StatDistributions.com and PlatPrices.com. His research spans: Quantum entanglement and quantum error correction Superpermutations and combinatorics on words Conway’s Game of Life and cellular automata Matrix norms and linear preserver problems Applications of linear algebra to puzzles like Lights Out Geometric optimization and calculus problems He produces educational math videos using Manim, covering advanced topics in an accessible format. His scholarly output includes significant contributions to open problems in mathematics and software tools widely used in the research community. He actively engages with users via GitHub and social media (Bluesky). Notable Projects: QETLAB : A MATLAB toolbox for quantum entanglement, actively developed and cited in research. ConwayLife.com / LifeWiki : The largest encyclopedia of Conway’s Game of Life patterns. StatDistributions.com : A tool for calculating p-values and test statistics. PlatPrices.com : A non-academic site tracking PlayStation game prices and trophies. Scientific Contributions: Disproved the minimal superpermutation conjecture. Developed algorithms for computing hard-to-compute matrix norms. Created accessible explanations of complex topics via video and interactive tools. While his current institutional affiliation is not stated, his body of work, software development, and scholarly communication confirm his status as an active academic researcher in applied and computational mathematics.