جستجوی استاد راهنمای دانشگاهی

R. A. Borrelliمشاهده پروفایل

دانشیار

• Advanced Fuel Cycle Analysis
• Nuclear Safeguards
• Nuclear Hybrid Energy Systems
• +۲ مورد دیگر

R. A. Borrelli is Associate Professor of Nuclear Engineering at University of Idaho's College of Engineering, based at the Center for Advanced Energy Studies in Idaho Falls. His research spans advanced fuel cycles, nuclear safeguards, space nuclear power systems, and cybersecurity for nuclear facilities. Current projects include radioisotope thermoelectric generators for deep space exploration and cyber hardening of nuclear power plants. Research combines computational modeling and experimental validation, with focus areas in reactor physics, radiation transport, and energy system integration. Recent work examines molten salt microreactor restart protocols and radiation interactions in planetary atmospheres. Publications demonstrate consistent focus on nuclear safety (60% of recent papers) and space nuclear applications (25%). Professional activities include organizing nuclear cybersecurity research initiatives and serving on technical committees for nonproliferation conferences. Leads research on DOE/NASA-funded projects and advises students through the Center for Advanced Energy Studies. Collaborates with Idaho National Laboratory on safeguards-by-design methodologies.

Robert Stelzerمشاهده پروفایل

استاد

• Financial Mathematics
• Stochastic Volatility Models
• Stochastic Processes
• +۵ مورد دیگر

Robert Stelzer is a Professor and Head of the Institute of Mathematical Finance at Ulm University. His research focuses on stochastic processes, financial mathematics, and statistical methodologies. He has supervised numerous PhD students and organized international scientific events. Key contributions include work on multivariate stochastic volatility models, Lévy processes, and time series analysis. Awards include the Förderpreis and Promotionspreis for his doctoral work. He holds editorial roles in leading journals and actively participates in academic service. Research interests span financial mathematics, stochastic volatility, and extreme value theory. His publications explore CARMA processes, supOU models, and geometric ergodicity. Teaching includes courses on financial mathematics, stochastic analysis, and econometrics. Supervised students have contributed to advancements in stochastic finance and statistical theory. Organized events include workshops on extreme value theory and financial mathematics. Editorships include Statistics and Risk Modeling, reflecting his leadership in statistical research. His work bridges theoretical probability and practical applications in finance and risk management.

Nick Lallyمشاهده پروفایل

دانشیار

• Critical Cartography
• Policing Geographies
• Digital Geographies
• +۲ مورد دیگر

Dr Nick Lally is Associate Professor of Geography at the University of Kentucky, with research spanning critical cartography, policing geographies, and speculative GIS. His work examines how digital technologies reshape spatial power relations, particularly in policing contexts, while developing alternative geographical imagination systems that challenge conventional GIS paradigms. Key projects include experimental cartographic tools for spatial manipulation and critical analyses of policing technologies. His publications explore how computational systems structure geographical knowledge and power. He employs mixed methods including software prototyping, critical theory, and empirical studies of police practices. Research has been supported by organizations including the Simpson Center for Humanities and Canada Research Chairs Program.

Ali K. Kamraniمشاهده پروفایل

دانشیار

• Systems Engineering
• Product Design for Modularity
• CAD and Geometric Modeling
• +۹ مورد دیگر

Ali K. Kamrani is an Associate Professor in the Department of Industrial and Systems Engineering at the University of Houston's Cullen College of Engineering. He serves as Director of the Industrial Engineering Graduate Program and Founding Director of the Design and Free Form Fabrication Laboratory. Additionally, he holds a Visiting Professor position at King Saud University's Princess Fatimah Alnijris's Research Chair for AMT. His expertise spans systems engineering, CAD/CAM, modularity in product design, and robotics. Education: Ph.D. (Industrial Engineering, University of Louisville, 1991), M.Eng. (Engineering Mathematics/Computer Science and Electrical Engineering), B.S. (Electrical Engineering) Research focuses on innovation in manufacturing systems, data mining applications, and autonomous robotics control. He has authored/co-authored multiple books including Product Design for Modularity and Mass Customization: A Supply Chain Approach . Editor-in-Chief roles include the International Journal of Collaborative Enterprise and International Journal of Rapid Manufacturing. Teaching responsibilities include courses in manufacturing processes, robotics, control systems, and systems engineering modeling. His lab specializes in free-form fabrication technologies and design optimization.

• Numerical Analysis
• Optimal Control
• Finite Element Methods
• +۹ مورد دیگر

Enrico Bertolazzi is an Associate Professor in Numerical Analysis at the University of Trento's Department of Industrial Engineering. He specializes in numerical methods for optimal control, finite element methods, sparse matrix computations, and symbolic computation. His work integrates advanced programming skills in C/C++, MATLAB, and other languages to develop computational tools for engineering and mathematical challenges. Bertolazzi's research addresses complex systems such as vehicle dynamics, trajectory optimization, and real-time simulations, with applications in automotive engineering, renewable energy, and robotics. Research Interests: Numerical Optimal Control and Trajectory Planning Finite Element/Finite Volume Methods for PDEs Sparse Matrix Algorithms Clothoid Curve Modeling Symbolic-Numeric Hybrid Techniques Vehicle Dynamics and Autonomous Systems Publications: Recent work focuses on real-time tire models, DAE index reduction, and autonomous vehicle path planning. His contributions span algorithm development, computational toolboxes (e.g., TrussMe-Fem), and interdisciplinary applications combining mathematics with engineering. Grants & Advising: Advises on optimal control, robotics, and simulation projects. Active in developing educational software like the virtual racing car championship platform. Labs/Teams: Involved in research groups focused on intelligent vehicles, computational mechanics, and numerical methods for industrial applications.

Anne Silvermanمشاهده پروفایل

دانشیار

• Musculoskeletal Biomechanics
• Movement Coordination
• Prosthetic and Assistive Devices
• +۵ مورد دیگر

Anne Silverman is an Associate Professor in the Department of Mechanical Engineering at Colorado School of Mines, where she directs the Functional Biomechanics Laboratory. Her research integrates experimental movement analysis with computational modeling to investigate musculoskeletal biomechanics and movement coordination across diverse populations including military personnel, individuals with lower-limb amputations, and older adults. She earned her B.S.E. from Arizona State University and M.S.E. and Ph.D. from The University of Texas at Austin, all in Mechanical Engineering. Her educational background provided the foundation for her current work at the intersection of engineering and human movement science. Dr. Silverman's research focuses on musculoskeletal biomechanics , prosthetic device function , and dynamic balance regulation . Her laboratory investigates muscular compensations during prosthetic use, balance mechanisms during dynamic tasks, and musculoskeletal modeling for treatment optimization. Recent work examines relationships between whole-body movement and long-term secondary conditions, with particular emphasis on aging populations and amputee mobility. Analysis of her publication record reveals consistent focus on prosthetic biomechanics , load carriage effects , and age-related movement changes . Her work demonstrates methodological expertise in combining experimental motion capture with computational modeling to address clinically relevant questions in rehabilitation engineering. Fellow of the American Society of Mechanical Engineers (ASME) Associate Editor for Gait & Posture Research funded by National Institutes of Health (NIH) and Department of Defense (DoD) As director of the Functional Biomechanics Laboratory, she leads research using motion capture systems, force plates, and computational modeling to evaluate muscle action and joint loading during movement. Her team develops interventions to prevent injury and improve mobility, with particular focus on translating biomechanical findings into practical clinical applications for diverse populations including military service members and older adults.

Conor Stechschulteمشاهده پروفایل

استادیار

• Graphic Novels
• Printmaking
• Self-Publishing
• +۳ مورد دیگر

Conor Stechschulte is an Assistant Professor at the School of the Art Institute of Chicago (SAIC), specializing in Printmedia. He teaches courses such as Comics to Print , Deep Risography , and Adventures in Self-Publishing , emphasizing experimental print techniques and challenging institutional hierarchies. His research focuses on self-publishing as a tool for democratizing art and eroding cultural gatekeeping. Stechschulte’s work includes the graphic novel Ultrasound (2022), adapted into a feature film, and Portage (2023). He has exhibited internationally and received awards like the Eisner Award nomination and the Marion Kryczka Excellence in Teaching Award. His artistic practice spans comics, installations, and collaborative projects, often exploring themes of identity, memory, and perception. Education: BFA from Maryland Institute College of Art (MICA), MFA from SAIC. Research Interests : Experimental printmaking (Risograph and offset), self-publishing cultures, visual storytelling, and the intersection of art and community. Recent Highlights : Films in collaboration with Magnolia Films; exhibitions at Mana Contemporary and Cleaner Gallery; publications with Fantagraphics, Colorama Press, and Coconino Press. His courses integrate technical mastery with critical discourse on art’s role in society. Labs/Teams : Involved with Risograph collectives and artist-publishers like Colorama and Anemone Press, fostering global networks in independent publishing.

Tobias Glasmachersمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Optimization Algorithms
• +۶ مورد دیگر

Prof. Dr. Tobias Glasmachers is a Full Professor at the Institut für Neuroinformatik , Ruhr-Universität Bochum, Germany, specializing in the Theory of Machine Learning . He leads the Optimization of Adaptive Systems group and holds appointments in both Computer Science and Interdisciplinary AI research. Key Research Areas : Optimization algorithms, evolutionary computation, reinforcement learning, supervised learning, and neural networks Technical Focus : Gradient-based methods, support vector machines, and adaptive coordinate descent Applications : Robotics, waste sorting facilities, 3D game environments (e.g., Doom/Minecraft), and human-centered AI design Notable Contributions : Development of LM-MA-ES evolution strategy, Hessian Estimation Evolution Strategy, and tachAId tool for ethical AI design. His work bridges theoretical analysis with practical implementations across diverse domains. Teaching : Offers courses in Informatik 1 - Programmieren, Machine Learning: Supervised Methods, and Evolutionary Algorithms. Supervises numerous Bachelor's and Master's theses on AI/ML applications.

Yuly Billigمشاهده پروفایل

استاد

• Representation Theory
• Infinite-Dimensional Lie Algebras
• Vertex Algebras
• +۴ مورد دیگر

Yuly Billig is a Professor in the School of Mathematics and Statistics at Carleton University. He specializes in representation theory of infinite-dimensional Lie algebras, vertex algebras, and soliton theory. His research bridges algebraic structures with applications in mathematical physics, including studies of Kac-Moody algebras and their representations. He co-developed a Maple package for computations in Lie algebras and vertex algebras, available on GitHub. Billig founded the Carleton Math Enrichment Centre, offering courses in mathematics, physics, and computer science for students from grades 3 to 12. His work also extends to wavelet analysis and digital signal processing, reflected in his course MATH 4822/5822 on Wavelets and Signal Processing. His research has been published in leading journals such as Advances in Mathematics , Journal of Algebra , and Communications in Contemporary Mathematics . Key research interests include: Representation theory of infinite-dimensional Lie algebras Vertex algebras and their applications Soliton theory and nonlinear PDEs Geometric and algebraic structures in mathematical physics Recent publications focus on dense clusters in hypergraphs, sheaf modules on algebraic varieties, and gauge modules for vector field algebras. His contributions to computational tools and educational outreach highlight his dual role as a researcher and educator.

• Geometric Measure Theory
• Harmonic Analysis
• Mathematical Analysis
• +۳ مورد دیگر

Alan Chang is an Assistant Professor of Mathematics at Washington University in St. Louis. His research focuses on geometric measure theory and harmonic analysis, exploring topics such as Nikodym sets, maximal functions, and fractal structures. He holds a Ph.D. in Mathematics from the University of Chicago (2020) and a B.A. from Princeton University (2014). Previously, he was an Instructor at Princeton University under Assaf Naor. Chang has been awarded the NSF Graduate Research Fellowship (2014) and the NSF Mathematical Sciences Postdoctoral Fellowship (2020, declined). His work includes grants like NSF Grant DMS-2247233 (2023–2026). His research interests span geometric measure theory, harmonic analysis, and fractal geometry. Notable contributions include studies on Besicovitch sets, decoupling theory, and the Whitney extension theorem. Chang’s publications address diverse areas such as analytic capacity, Minkowski sums, and Kakeya needle problems, reflecting his expertise in geometric and analytic methods. Grants: NSF Grant DMS-2247233 (2023–2026) Awards: NSF Graduate Research Fellowship (2014), NSF Postdoctoral Fellowship (2020, declined) Chang advises no listed students but has contributed to mentoring through his roles as an instructor and researcher. His work intersects with labs and teams focused on geometric analysis and harmonic functions.

Mitchell Rushtonمشاهده پروفایل

استادیار

• Robotics
• Vibration Control
• Cable-Driven Parallel Robots
• +۳ مورد دیگر

Dr. Mitchell Rushton is an Assistant Professor in the Department of Automotive and Mechatronics Engineering at the University of Ontario Institute of Technology, part of the Faculty of Engineering and Applied Science. His expertise lies in robotics, vibration control, and cable-driven parallel robots. He holds a PhD in Mechanical and Mechatronics Engineering from the University of Waterloo (2022), along with a MASc (2016), BASc (2013), and a Certificate in University Teaching (2020). Education: PhD, Mechanical and Mechatronics Engineering, University of Waterloo (2022) Certificate in University Teaching, University of Waterloo (2020) MASc, Mechanical and Mechatronics Engineering, University of Waterloo (2016) BASc, Mechatronics Engineering, University of Waterloo (2013) Research Interests: Dr. Rushton focuses on advancing robotics and mechatronics systems, particularly in cable-driven parallel robots, vibration control mechanisms, and continuum robotics. His work addresses challenges in dynamic stabilization, obstacle avoidance, and efficient actuator design. Recent research includes innovative solutions for vibration regulation and adaptive control in robotic systems. Publications: His research spans theoretical and applied robotics, with a focus on vibration control and cable-driven systems. Key contributions include studies on configuration-space modeling, reaction-based stabilization, and hybrid robotic architectures. Awards: No scientific awards explicitly mentioned. Advising & Grants: No listed advisees or grants. His work is primarily driven by academic research collaborations and institutional support. Labs/Teams: While specific lab affiliations are not detailed in the text, his research aligns with the broader automotive and mechatronics engineering initiatives at the University of Ontario Institute of Technology.

• Mathematics
• Analysis
• Mechanical Engineering
• +۲ مورد دیگر

Xiao Ma is a Donald J. Lewis Research Assistant Professor in the Department of Mathematics at the University of Michigan, located within the College of Literature, Science, and the Arts. His academic work bridges mathematics and interdisciplinary applications in mechanics, materials science, and soft matter. He holds a Ph.D. from Princeton University (2023) and a B.S. from the University of Science and Technology of China (2018). Dr. Ma’s research focuses on topological mechanics, metamaterials design, and geometric principles governing material behavior. His studies explore novel mechanical systems, such as origami-inspired structures, topological neural networks, and stress dynamics in colloidal gels. Recent work emphasizes wave control in auxetic media and fracture mechanics in topological lattices. His publications span topics including active matter dynamics, frustrated self-assembly, and mechanical metamaterials. Collaborative efforts involve interdisciplinary teams addressing challenges in structural engineering, biophysics, and computational mechanics. Despite no explicitly listed awards, his contributions reflect innovative approaches to complex mechanical systems. Advising and grants: While no specific grants or student advisees are mentioned, his role as a research professor suggests active involvement in mentoring graduate students and postdoctoral researchers. His laboratory likely focuses on experimental and theoretical studies of mechanical systems, though specific lab names are not provided in the text.

Mariusz Wzorekمشاهده پروفایل

استادیار

• Artificial Intelligence
• Robotics
• Autonomous Systems
• +۴ مورد دیگر

Mariusz Wzorek is an Assistant Professor and Head of Unit at the Department of Computer and Information Science (IDA) at Linköping University, Sweden. He is affiliated with the Artificial Intelligence and Integrated Computer Systems (AIICS) division, which focuses on advancing research and education in artificial intelligence, robotics, and collaborative systems. Dr. Wzorek holds a PhD from Linköping University (2023) and has expertise in autonomous systems, unmanned aerial vehicles (UAVs), and robotics. His research emphasizes safe navigation, collaborative robotics, and applications in emergency response and public safety scenarios. Key areas include UAV-based collision avoidance, geolocation using aerial imagery, and distributed systems for multi-agent coordination. His recent work involves developing systems like the RGS⊕ (RDF Graph Synchronization) for collaborative robotics, secure remote ID protocols for UAVs, and algorithms for autonomous search and rescue missions. These projects address challenges in sensor fusion, real-time decision-making, and robust communication in dynamic environments. Publications highlight contributions to UAV navigation, wireless mesh networks in emergencies, and 3D reconstruction using heterogeneous UAV teams. His research bridges theoretical foundations in AI with practical applications in robotics and safety-critical systems. While no specific scientific awards are listed, his active role in the AIICS division and numerous peer-reviewed publications reflect his significant contributions to the field.

A. I. Fernández Domínguezمشاهده پروفایل

دانشیار

• Transformation Nano-optics
• Light-matter Interactions at the Nanoscale
• Quantum Nanophotonics
• +۳ مورد دیگر

A. I. Fernández Domínguez is an Associate Professor in the Department of Theoretical Condensed Matter Physics at the Universidad Autónoma de Madrid (UAM), Spain. He is affiliated with the Condensed Matter Physics Center IFIMAC and focuses on theoretical investigations of quantum nanophotonic phenomena. His research spans transformation nano-optics, light-matter interactions at the nanoscale, and spoof plasmon metamaterials. Educational Background: Not explicitly stated in the provided text. Research Interests: Transformation Nano-optics: Explores material-geometry links in Maxwell's equations, applied to nano-antennas and plasmon-exciton coupling. Light-Matter Interactions: Investigates plasmon-assisted energy transfer, exciton dynamics, and quantum optical effects in nanophotonic systems. Quantum Nanophotonics: Develops strategies for quantum light generation and tailoring photon-emitter interactions in nanocavities. Spoof Plasmon Metamaterials: Designs metamaterials enabling plasmonic effects in infrared/THz ranges through geometric surface modes. Articles Trends: Recent work emphasizes quantum emitters in nanocavities, non-Hermitian systems, and plasmon-molecule coupling. Topics include directional photon emission, polariton dynamics, and metamaterial applications in low-frequency photonics. Scientific Awards: No awards listed in the provided text. Advising/Grants: Advising information unavailable; no grant details provided. Labs/Teams: Active in the Condensed Matter Physics Center IFIMAC, collaborating on theoretical nanophotonics projects.

Arick Shaoمشاهده پروفایل

دانشیار

• Partial Differential Equations
• Mathematical Analysis
• Differential Geometry
• +۶ مورد دیگر

Dr. Arick Shao is a Reader in the School of Mathematical Sciences at Queen Mary University of London, specializing in partial differential equations, mathematical analysis, differential geometry, and mathematical relativity. He is part of the Centre for Geometry, Analysis and Gravitation and co-organizes the London PDE Seminar. His research focuses on wave equations, control theory, and the Einstein equations in asymptotically Anti-de Sitter spacetimes. Education: PhD in Mathematics from Princeton University (2010), B.S. in Mathematics and Computer Science from the University of Texas at Austin (2004). Research Interests: Hyperbolic and dispersive PDEs, geometric PDEs, differential geometry, Lorentzian geometry, and applications to general relativity. His work includes unique continuation theorems, controllability of parabolic equations, and bulk-boundary correspondences in spacetime geometries. Awards and Grants: EPSRC Small Grant (2024), STFC Standard Grant (2023–2026), EPSRC First Grant (2018–2020), recognition for research contributions (2018), and teaching excellence awards (2015). He has secured funding totaling over £1.6 million for projects in relativity and geometric PDEs. Teaching and Mentoring: Supervised PhD students and postdoctoral researchers, taught courses in differential geometry, PDEs, and analysis. Organized seminars and workshops on geometric hyperbolic PDEs and mathematical relativity.