جستجوی استاد راهنمای دانشگاهی

Neil Buchananمشاهده پروفایل

استاد

• Antenna Design
• Wireless Power Transfer
• Space Applications
• +۳ مورد دیگر

Dr Neil Buchanan is a Reader in the School of Electronics, Electrical Engineering, and Computer Science at Queen's University Belfast. He is affiliated with the Wireless Communication Systems Institute and ECIT (Institute of Electronics, Communications & Information Technology). His research focuses on advanced antenna systems, wireless power transfer, space communication technologies, healthcare sensors, and high-efficiency RF circuits. Buchanan leads major projects such as R-NGIN (Next Generation Information Networks) and has pioneered innovations in retrodirective arrays, self-steered antennas, and satellite communication systems. He has secured £multi-million grants and holds 8 awards including the Belfast Business Top 50 Award (2012) and ESA Young Antenna Engineer Prize (2010). His research group collaborates globally, with recent work on microwave energy beaming for space-based solar farms, anti-plagiarism remote labs, and AI-resistant educational tools. Buchanan advises two PhD students and actively engages in public outreach via BBC and RTE media appearances on topics like space energy and wireless power. Key Projects: R-NGIN (2023-present), Wireless Power Transfer (2018-2023), FlisH Satellite Dish (2011-2014) Notable Awards: ESA Young Antenna Engineer Prize, Mobile World Scholar Gold Award Media Expertise: Featured in BBC Radio Ulster, RTE Futureville, and BelfastLive on solar farms and space energy Buchanan's work bridges academia and industry through innovations like hybrid delay-locked loops for satellite systems and novel RFID transceivers for healthcare applications. His lab hosts cutting-edge research in 5G/6G antenna design, beamforming techniques, and phased array systems.

• Optimization
• Evolutionary Algorithms
• Modern Heuristics
• +۴ مورد دیگر

Iwona Karcz-Dulęba is a researcher at the Department of Control Systems and Mechatronics within the Faculty of Information and Communication Technology at Wrocław University of Science and Technology. Her work spans robotics, optimization, and evolutionary algorithms. Research interests include Optimization and inverse kinematics for robot manipulators Nonholonomic motion planning Evolutionary algorithms and population dynamics Modeling of dynamical systems Key trends in her publications focus on robotics (nonholonomic systems, inverse kinematics), evolutionary algorithms (population dynamics, diversity maintenance), and mathematical modeling (null space computation, Lie algebra applications). Contact: Email: iwona.karcz-duleba@pwr.edu.pl Office: Room 314, Building C-3, Wrocław University of Science and Technology Office hours: Tuesday 10:00-11:00 and 12:00-13:00; Thursday 9:15-11:15

• Evolutionary Computation
• Swarm Robotics
• Optimisation Algorithms
• +۴ مورد دیگر

Professor Emma Hart is a leading academic at Edinburgh Napier University , affiliated with the School of Computing Engineering and the Built Environment and the Centre for Algorithms, Visualisation and Evolving Systems . Her research focuses on evolutionary computation , swarm robotics , and optimisation algorithms , with applications in ecology, cybersecurity, and AI-driven design. Education: 1 st Class Honours in Chemistry (Oxford), MSc and PhD in AI (Edinburgh) Leadership: Former Editor-in-Chief of Evolutionary Computation (MIT Press, 2017–2023), ACM SIGEVO Board member, and key contributor to Scotland’s AI Strategy (2021). Her research spans evolutionary robotics, lifelong learning systems, and explainable AI. Recent work includes using novelty search to engineer diverse robot swarms, XAI for algorithm configuration, and LLM-evolved heuristics for bin packing. She explores fitness landscapes and attractor analysis to improve optimisation model robustness. Scientific Awards include the ACM SIGEVO Outstanding Contribution Award (2023) Fellow of the Royal Society of Edinburgh (2022) Bronze Humies Award (2018) Best Paper Award@GECCO 2019 She supervises PhD students such as Grant Anderson Kirsty Montague Kelly Hunter Magnus Janson Fiona Stewart and has led over £2M in grants, including EPSRC , Innovate UK , and EU projects on autonomous robot evolution and lifelong learning systems.

Maria F. Maurerمشاهده پروفایل

دانشیار

• Art History
• Gender Studies
• Renaissance Studies
• +۳ مورد دیگر

Maria F. Maurer is an Associate Professor of Art History and Co-director of Women's and Gender Studies at The University of Tulsa, within the Kendall College of Arts & Sciences and the Department of Art, Design & Art History. Her research critically examines gender, space, and embodied experience in early modern Italian art and architecture, challenging traditional interpretations of Renaissance courtly environments. Her educational background includes a Ph.D. from Indiana University with dissertation 'The Palazzo Te and the Spaces of Masculinity' and an M.A. from the University of Louisville. Maurer's research integrates Art History, Gender Studies, and Digital Humanities to analyze how spatial configurations shaped social interactions and identity formation at Italian courts. Her work reveals the dynamic interplay between physical environments, gendered bodies, and cultural practices, demonstrating that early modern palaces functioned as active social arenas rather than static monuments. Current projects explore the cultural significance of mistresses and illegitimate children in courtly life and the spatial contexts of Renaissance altarpieces. She has received notable recognition including: Scholar Research Grants from the Oklahoma Humanities Council (2023, 2016) Oklahoma Center for the Humanities Fellowship (2015-2016) Samuel H. Kress Dissertation Fellowship (2009-2010) Maurer directs the In Situ project, which employs 3D modeling and scanning technology to digitally reconstruct the original spatial contexts of fragmented Italian Renaissance altarpieces. This innovative initiative involves advanced undergraduates in recovering lost architectural settings and enhancing public understanding of religious art through virtual reconstructions, significantly contributing to both scholarly research and museum education.

Marcus Handteمشاهده پروفایل

پژوهشگر

• Computer Science
• Pervasive Computing
• Sustainable Mobility
• +۳ مورد دیگر

Dr. Marcus Handte is a Senior Researcher at the University of Duisburg-Essen, focusing on networked embedded systems, context-aware computing, and sustainable mobility. His academic journey includes a Habilitation in Computer Science (2013) and a PhD in Natural Sciences (2009) from Universität Stuttgart, alongside a Master's degree from Georgia Institute of Technology (2002). Research Interests Context-aware applications Localization and location-based systems Sustainable mobility solutions Internet of Things (IoT) Smart city infrastructure Privacy-preserving technologies His recent work involves developing platforms for multimodal mobility analysis (MOBYDEX), wireless EV charging systems (TALAKO, FAIR), and innovative approaches to indoor localization. Publications span journals like Machine Vision and Applications and conferences in pervasive computing. Scientific Recognition Best Poster Award at ACM KMIS 2023 Dr. Handte has contributed to projects such as ATMo2, INNAMORUHR, and GAMBAS, and maintains active collaborations across institutions. His expertise in adaptive middleware and distributed systems continues to shape research in smart mobility and ambient intelligence.

Bartosz Malmanمشاهده پروفایل

استادیار

• Mathematical Analysis
• Operator Theory
• Complex Analysis
• +۳ مورد دیگر

Bartosz Malman is an Assistant Professor of Mathematics at Mälardalen University, Sweden. Previously, he served as a Lecturer at KTH Royal Institute of Technology and completed his doctoral studies at Lund University (PhD in Mathematics, 2020). He holds dual Master’s degrees in Mathematics and Computer Engineering from Lund University. Research Interests : Mathematical analysis with a focus on operator theory, complex analysis, and harmonic analysis. Specific areas include spaces of analytic functions (Hardy, Bergman, Dirichlet model spaces), polynomial approximation in Lebesgue spaces, cyclicity problems in analytic function spaces, and applications of the uncertainty principle in harmonic analysis. Publications : His work spans over 20 peer-reviewed articles (2017–2025), contributing to journals like International Mathematics Research Notices , Indiana University Mathematics Journal , and Transactions of the American Mathematical Society . Key themes include operator theory applications, spectral analysis, and function space embeddings. Teaching : Currently teaching Probability Theory and Statistical Inference at Mälardalen University. His pedagogical focus aligns with his research strengths in functional analysis and complex systems. Labs/Teams : Active in academic collaborations, particularly with researchers at Lund University and KTH, but no formal lab designation mentioned. His research often involves international co-authors like Adem Limani and Daniel Seco.

Kester Cleggمشاهده پروفایل

پژوهشگر ارشد

• Air Traffic Simulation
• Safety-Critical Systems
• Avionics Safety
• +۴ مورد دیگر

Dr. Kester Clegg is a Research Fellow in the Department of Computer Science at the University of York, affiliated with the High Integrity Systems group. He holds a PhD in non-standard computation and has extensive experience in safety-critical systems, including work on air traffic simulation, UAV safety, and carbon nanotube-based computation. His research focuses on automated hazard identification, avionics safety, and evolutionary algorithms applied to engineering challenges. Education PhD in Non-Standard Computation (University of York, 2007) Postgraduate Degrees in Linguistics and Computer Science Research Interests Automated risk discovery in complex systems Safety analysis for aviation and autonomous systems Material-based computing using carbon nanotubes Integration of safety models with system design Key Projects NASCENT project: Evolutionary computation for nanotube configurations (2015) SESAR project: Air traffic risk modeling using RAMS Plus software (2013) Rolls-Royce UTC: Safety-critical jet engine controller software (2002-2005) His work bridges theoretical computer science with practical safety engineering, emphasizing automated tools for identifying worst-case scenarios in high-risk environments. Current activities include teaching safety courses under the HISE initiative.

• Numerical Analysis
• Quantum Theory
• Multiscale Modeling
• +۴ مورد دیگر

Daniel Massatt is an Assistant Professor in the Mathematics Department at Louisiana State University (LSU) since August 2022. Previously, he served as a Kruskal Instructor at the University of Chicago's Statistics Department from 2018 to 2022. His research focuses on numerical analysis, quantum theory, multiscale modeling, spectral theory, topological insulators, incommensurate materials, and electronic structure. He has taught courses such as Fourier Transforms, Mathematical Models, and Numerical Linear Algebra at LSU, and probability and numerical analysis at the University of Chicago. Massatt's work emphasizes theoretical and computational studies of low-dimensional materials, particularly twisted 2D heterostructures and topological insulators. He develops mathematical frameworks to model electronic properties in systems with structural incommensurability, such as bilayer graphene. His contributions include analyzing defect states, Kubo conductivity, energy minimization, and topological invariants in such systems. He collaborates with experimentalists to bridge theory and practical applications in twistronics and correlated electron systems. His research has been published in journals like Physical Review B , Multi-scale Modeling & Simulations , and European Physical Journal B . Notable projects include modeling electronic observables in momentum space, studying convergence of planewave approximations, and exploring topologically protected transport in twisted bilayer graphene.

Abhishek Bhattacharjeeمشاهده پروفایل

استاد

• Computer Architecture
• Operating Systems
• Memory Management
• +۳ مورد دیگر

Abhishek Bhattacharjee is the A. Bartlett Giamatti Professor of Computer Science at Yale University. His work spans computer architecture, operating systems, and brain-computer interfaces (BCIs), with groundbreaking contributions to memory address translation and neurotechnology. He leads a research group developing full-stack systems like HALO and SCALO for brain-machine integration. Education : Ph.D., Princeton University; B.Eng., McGill University His research focuses on: Memory address translation optimizations Brain-computer interface architectures Virtual memory systems Heterogeneous memory management Low-power accelerators for neural interfaces Recent publications emphasize scalable memory systems for BCIs, TLB behavior analysis, and fiduciary AI integration with neurotechnology. His work has been adopted by AMD, NVIDIA, RISC-V, and Linux kernel. Scientific Awards & Honors : ACM SIGARCH Maurice Wilkes Award, 2023 Best Paper Award, ISCA '23 Distinguished Paper Award, ASPLOS '23 NSF CAREER Award, 2013 Yale Dylan Hixon Prize for Teaching, 2025 He has advised students now at NVIDIA, AMD, and Huawei, and teaches courses like Computer Architecture and Systems Programming . His group collaborates with Princeton Neuroscience Institute and industry leaders in AI/memory systems.

Zhisong Quمشاهده پروفایل

استادیار

• Plasma Physics
• Magnetic Confinement Fusion
• Machine Learning Applications
• +۳ مورد دیگر

Dr. Zhisong Qu serves as an Assistant Professor in the School of Physical and Mathematical Sciences at Nanyang Technological University (NTU), Singapore. Previously, he held research fellow and postdoctoral positions at the Mathematical Sciences Institute, Australian National University (ANU), following his doctoral training at ANU's Research School of Physics. His educational background includes: PhD in Plasma Physics, Research School of Physics, Australian National University Bachelor of Science in Physics, School of Physics, Peking University, China Dr. Qu's research integrates machine learning with plasma physics, focusing on experimental data processing and theoretical modeling of magnetic confinement fusion systems. Key investigations address three-dimensional magnetic field configurations, magnetohydrodynamic waves driven by fast ions, and the development of computational frameworks for fusion plasma behavior. His 2021-2023 publications reveal consistent exploration of magnetohydrodynamics and plasma stability in fusion devices, with recurring themes in Alfvén wave analysis, magnetic island dynamics, and particle transport phenomena. These works demonstrate international collaboration and advanced computational methodologies across multiple fusion research platforms. He has received recognition through: Under 30 Scientists and Students Award, Division of Plasma Physics, Association of Asia Pacific Physical Societies (2019) Dr. Qu teaches the undergraduate course PH3407 - Introduction to Plasma Physics during semester 2 each year, contributing to academic instruction while maintaining active research engagement. He leads projects on reduced transport models and AI-powered surrogate models for turbulence transport, advancing computational approaches to fusion energy challenges.

Amirreza Razmjoo Fardمشاهده پروفایل

پژوهشگر

• Robotics
• Artificial Intelligence
• Control Theory
• +۴ مورد دیگر

Amirreza Razmjoo Fard is a PhD student and Researcher at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Engineering (STI) and the Robot Learning and Interaction (RLI) Group at the Idiap Research Institute. Supervised by Dr. Sylvain Calinon, he focuses on developing adaptive, efficient, and intelligent robotic control methods for contact-rich environments and constrained scenarios. Research Areas: Generative AI (diffusion models, flow matching), Model composition (product of experts), System dynamics, Control theory, Physics-based simulation (Isaac Sim) Key Goals: Bridging theory and real-world applications, enhancing robot autonomy, interaction, and physical intelligence His work spans publications at top robotics conferences like IROS, CoRL, RSS, and ICRA, with a Best Paper Finalist recognition at RSS 2024. Notable methods include CCDP for diffusion policy composition, CDF for differentiable robot geometry, and D-LGP for hybrid planning. He has also collaborated with Honda Research Institute Europe during a six-month internship.

Seth H. Garlandمشاهده پروفایل

استادیار مدعو

• Space Physics
• Solar Flare Prediction
• Coronal Magnetic Fields
• +۳ مورد دیگر

Capt Seth H. Garland, PhD is an Adjunct Assistant Professor of Space Physics in AFIT's Department of Engineering Physics at Wright-Patterson AFB, OH. He serves as Branch Chief for ENP, mentoring military students in Masters programs, and advises thesis research aligned with Air Force Weather operational needs. His work focuses on solar magnetic field modeling and solar flare prediction for DoD/AF weather priorities. Education: Ph.D. Applied Physics (2023), AFIT - Dissertation: Analysis of Coronal Magnetic Field Parameters during X/M-Class Solar Flares M.S. Applied Physics (2021), AFIT - Dissertation: Magnetic Reconnection in Solar Flares B.S. Environmental Sciences (2016), University of Virginia Research Interests: Solar flare dynamics, coronal magnetic field modeling, space weather forecasting from Sun-to-ionosphere systems. Specializes in 3D magnetic field analysis and flare prediction using advanced modeling techniques. Publications Trends: Focuses on coronal magnetic field parameters' role in major flares, with recent work emphasizing 3D modeling and X-class flare analysis. Publications appear in Frontiers in Astronomy and Space Sciences and Journal of Atmospheric and Solar-Terrestrial Physics . Awards: 2021 Distinguished Graduate (AFIT) 2012 Michael Garstang Award (UVA) Advising & Grants: Leads thesis advising for Air Force Weather operational requirements. Involved in invited talks at NASA and NJIT on coronal magnetic field analysis (2023). Labs/Teams: Works within AFIT's space physics research group focused on DoD-relevant space weather solutions.

Emmett Wymanمشاهده پروفایل

استادیار

• Harmonic Analysis
• Spectral Geometry
• Geometric Analysis
• +۳ مورد دیگر

Emmett Wyman is an Assistant Professor in the Department of Mathematics and Statistics at Binghamton University, specializing in harmonic analysis and spectral geometry. His research focuses on Laplace-Beltrami eigenfunctions of large eigenvalue, exploring how their asymptotics relate to the geometric and dynamical structure of manifolds, with applications to quantum physics and number theory. His work spans multiple domains including: Microlocal analysis of eigenfunctions Geometric uncertainty principles VC-dimension in finite fields Kuznecov sum formulas Manifold reconstruction via spectral data Recent research examines: Fractal dimensions in data analysis Fourier restriction problems Wave propagation on Riemannian manifolds Geometric incidence theory Spectral asymptotics with curvature constraints Current projects analyze multi-linear forms in geometric settings, spectral localization on manifolds, and combinatorial aspects of eigenfunction restrictions.

Yildirim Hurmuzluمشاهده پروفایل

استاد

• Robotics
• Control Systems
• Dynamics and Vibrations
• +۳ مورد دیگر

Yildirim Hurmuzlu holds the dual distinguished professorships of Altshuler Distinguished Professor and University Distinguished Professor within the Department of Mechanical Engineering at Southern Methodist University. His primary affiliation is explicitly stated with his office located in Embrey 301C, confirming active faculty status in mechanical engineering research and instruction. His research interests focus on Robotics, Control Systems, and Dynamics and Vibrations, particularly examining rigid body collision mechanics, bipedal locomotion stability, and magnetic actuation for micro-scale robotics. Key specialties include impact dynamics in kinematic chains, nonlinear control of inverted pendulum systems, haptic interface design for medical applications, and aerospace robotics for space debris mitigation. This work bridges theoretical dynamics with practical implementations in robotic inspection systems and human digital twin technologies. Recent publications (2020-2025) reveal a strategic shift toward magnetic millirobotics for industrial inspection and modular assembly, while maintaining foundational work in impact dynamics. Aerospace applications now dominate new research strands, especially human digital twins for manufacturing quality assurance and tethered satellite control for space debris removal. Medical haptics remains a consistent theme with continued development of virtual palpation systems. Awards include: Altshuler Distinguished Professor University Distinguished Professor No student advising records or grant funding details were provided in the source material. His departmental affiliation confirms leadership in robotics and dynamics research without explicit mention of labs or teams, though his work implies substantial involvement in experimental robotic systems development through repeated references to design, control, and implementation.

• Organizational Psychology
• Leadership Psychology
• Workplace Environment
• +۳ مورد دیگر

Luca Frankó is an Assistant Professor at the Department of Organisational and Leadership Psychology, Eötvös Loránd University. His research focuses on workplace environments, organisational behavior, and the psychological impacts of urban green spaces. He leads the Organizational and Leadership Psychology Research Group and has published extensively on topics like shared workspace design, employee well-being, and territorial behavior in office settings. His work bridges organisational psychology with environmental and health psychology, addressing modern challenges in workplace dynamics and urban planning. Research interests include: Psychological aspects of workplace design Employee attachment to workspaces Green urban spaces' role in dementia care Survey adaptation methodologies Generational differences in office preferences Recent publications analyze shared desk systems, office transformation trends, and the therapeutic effects of green spaces on caregivers. While no scientific awards are explicitly listed, his contributions to workplace psychology and urban health research demonstrate significant academic engagement. Advising and grant activities remain unspecified in available texts. His affiliation with the Institute of Psychology reflects a focus on applied psychological research with societal impact.