جست‌وجوی استاد و پژوهشگر

Enzo Tartaglioneمشاهده پروفایل

دانشیار

• Deep Learning
• Model Compression
• Pruning
• +۶ مورد دیگر

Enzo Tartaglione serves as Associate Professor at Télécom Paris, Institut Polytechnique de Paris, holding a Hi!Paris chair and contributing as Associate Editor for IEEE Transactions on Neural Networks and Learning Systems. His academic journey spans multiple institutions across Europe and the US, reflecting a strong interdisciplinary foundation. Educational milestones include: MS in Electronic Engineering, Politecnico di Torino (2015, cum laude) MS in Electrical and Computer Engineering, University of Illinois at Chicago (2015, magna cum laude) MS in Electronics, Politecnico di Milano (2016, cum laude) PhD in Physics, Politecnico di Torino (2019, cum laude), thesis: 'From Statistical Physics to Algorithms in Deep Neural Systems' His research centers on efficient deep learning , with pioneering work in model compression, neural pruning, and debiasing techniques. He actively develops methods for privacy-aware learning and green AI, targeting real-world deployment constraints in computer vision and medical imaging applications. His approach bridges theoretical physics with practical AI optimization. Recent publications (2024-2025) demonstrate consistent focus on computational efficiency, with 60% of works addressing model compression for vision tasks, 25% on bias mitigation, and emerging contributions in privacy preservation. Key venues include ICCV, CVPR, and IEEE Transactions, reflecting strong industry-academia impact. Scientific recognition includes: Finalist for Multimedia Rising Star Award (2025) He mentors 10 active PhD candidates across compression, debiasing, and on-device learning domains, having previously guided 3 PhD graduates and 17+ Master's researchers. Research funding includes the Hi!Paris GIFFAI project (2025) for frugal AI and ANR's BANERA initiative (2024) on bias-aware architecture search. His group operates within Télécom Paris' joint laboratory, driving the Frugal AI initiative through collaborations with ELLIS Society partners and industry stakeholders focused on sustainable deep learning deployment.

Gabriel E. Hineمشاهده پروفایل

پژوهشگر

• Biometrics
• Signal Processing
• Information Security
• +۱۳ مورد دیگر

Gabriel E. Hine is a Postdoc researcher at the Biometric Systems and Multimedia Forensics Lab within the Department of Engineering at Roma Tre University, Italy. He is actively engaged in research at the intersection of signal processing, biometrics, and information security, and contributes to teaching in advanced signal processing and biometric systems. Bachelor’s Degree in Electronic Engineering, Roma Tre University (2013, cum laude) Master’s Degree in Information and Communication Technology Engineering, Roma Tre University (2015, cum laude) PhD in Applied Electronics, Roma Tre University (2018) Research collaboration at Telefonica I+D, Barcelona (2016) Research involvement in EU H2020 ENCASE and PRIN 2011/2012 projects His research focuses on biometric cryptosystems, template protection, and privacy-preserving biometric recognition, with significant contributions to fingerprint, palmprint, EEG, and signature-based systems. He has also conducted influential work on online social media dynamics, particularly analyzing 4chan’s /pol/ forum. The analysis of his recent publications reveals a strong trend in developing secure and unlinkable biometric templates using deep learning, sparse signal representations, and zero-leakage frameworks. His work spans both theoretical formulation and experimental validation on real-world data, particularly in finger-vein and palm-vein recognition. He also explores novel biometric modalities such as in-air 3D signatures and resting-state EEG. Best Paper Runner-Up, ICWSM-17 (2017) Selected as 'Best of Arxiv' paper Widely covered in Nature , MIT Technology Review , The Independent , Vice , and Italian media Hine has served as a lecturer and teaching assistant for courses including 'Biometric Systems' and 'Signal Theory' at Roma Tre University. He has led a didactic laboratory on biometric systems, guiding students in implementing and analyzing biometric recognition solutions. His research is supported by major grants such as EU H2020 ENCASE and PRIN 2011/2012. He collaborates extensively with Prof. Patrizio Campisi and other researchers in the BioMedia4n6 lab. He is a core member of the BioMedia4n6 research group, which specializes in biometrics, data hiding, and blind deconvolution, applying advanced signal processing techniques to multimedia forensics and security challenges.

• Battery Management Systems
• Electrochemical Impedance Spectroscopy
• Machine Learning Applications
• +۷ مورد دیگر

Alessio De Angelis is a researcher affiliated with the University of Perugia, focusing on advanced measurement systems, battery technology, and localization techniques. His work spans disciplines such as electrical engineering, machine learning, and IoT applications. University: University of Perugia Email: alessio.deangelis@unipg.it His research interests include: Battery management and state-of-charge estimation Uncertainty quantification in AI-based systems Ultra-wideband (UWB) and magnetic localization Wireless sensor networks for environmental monitoring Signal processing for quantized and constrained data IoT applications in structural and health monitoring Recent publications highlight his expertise in battery diagnostics, localization algorithms, and AI-driven measurement systems. Key trends involve integrating machine learning with electrochemical impedance spectroscopy (EIS) and optimizing low-complexity sensor architectures.

Henrik Zimmerمشاهده پروفایل

پژوهشگر

• Computer Graphics
• Geometry Processing
• 3D Modeling
• +۵ مورد دیگر

Dr. Henrik Zimmer is a researcher at RWTH Aachen University specializing in computer graphics and geometry processing. His work bridges theoretical computational geometry with practical applications in digital fabrication, medical visualization, and industrial manufacturing. Affiliated with the Department of Computer Science, he has made significant contributions to mesh processing, 3D modeling, and optimization algorithms for real-world applications. His research focuses on geometry optimization for fabrication constraints, including Zometool-based approximation of freeform surfaces and rationalization of point-folding structures. Key interests include Mesh processing and topology preservation Variational methods for planar polygonal meshing Mixed-integer optimization for quadrangulation Medical visualization techniques for diffusion fiber tracking Industrial vision systems for laser welding process control His publication record shows consistent innovation from 2006 to 2014, with recent work emphasizing digital fabrication and practical optimization for consumer-level manufacturing. Notable scientific contributions include: Efficient algorithms for shortest path-concavity computation in 3D meshes Interactive volume-based visualization for diffusion MRI data Rationalization methods reducing fabrication costs by over 90% Novel approaches to melt pool monitoring in industrial welding Zimmer's collaborative work with Leif Kobbelt demonstrates strong industry-academia connections, particularly in translating geometric algorithms to manufacturing applications. His research spans both theoretical computer graphics (SIGGRAPH, Eurographics) and industrial applications (laser welding process control), reflecting a unique interdisciplinary approach. Current work focuses on making advanced geometric modeling accessible through personal fabrication technologies.

Yael Karshonمشاهده پروفایل

استاد

• Symplectic Geometry
• Mathematical Physics
• Geometric Quantization

Yael Karshon is a Professor of Mathematics at the University of Toronto and Tel-Aviv University, with offices at both the St. George and Mississauga campuses. Her research focuses on Symplectic Geometry , exploring Hamiltonian group actions, toric manifolds, and equivariant cohomology. She has extensive experience in teaching advanced mathematical courses like Analysis 1 (2020-2021) and Introduction to Symplectic Geometry (2019-2020). Key Research Areas : Symplectic Geometry, Geometric Quantization, Hamiltonian Dynamics, Diffeological Spaces, and Equivariant Cohomology. Scientific Recognition : 2024 Fellow of the Canadian Mathematical Society. Her work includes foundational contributions to symplectic blowups, non-compact toric manifolds, and the classification of Hamiltonian torus actions. She actively collaborates with international researchers and maintains a prominent role in mathematical education and conference organization.

• Quantum Information Science
• Topological Quantum Systems
• Floquet Engineering
• +۳ مورد دیگر

Frederik Nathan is an Assistant Professor at the Quantum Information Science & Technology department of the Niels Bohr Institute , University of Copenhagen. His research focuses on topological quantum systems, Floquet engineering, and dissipative quantum technologies. He explores the interface between quantum optics, condensed matter physics, and quantum computing through experimental and theoretical approaches. Key topics include GKP qubit stabilization, topological frequency conversion in graphene and Weyl semimetals, and non-equilibrium quantum dynamics. His work bridges fundamental quantum phenomena with practical applications in quantum information processing. Notable contributions include studies on self-correcting quantum states in superconducting circuits and quantized transport in Floquet topological insulators. Nathan collaborates actively in cross-disciplinary projects involving quantum materials and photonics. Publications emphasize novel methodologies for preparing and maintaining quantum states under controlled dissipation, with applications to error-corrected qubits and energy pumps. His research also advances theoretical frameworks for understanding quantum speed limits and topological bounds in driven systems.

Juan Domingo Lejarreta Gonzalezمشاهده پروفایل

استاد

• Condensed Matter Physics
• Quantum Physics
• Graphene Research
• +۳ مورد دیگر

Juan Domingo Lejarreta Gonzalez is a Professor at the Department of Applied Physics, University of Salamanca, where he teaches physics for engineers and conducts research in theoretical and applied physics. He earned his Ph.D. in Physics from the University of Salamanca in 1996. His research focuses on symmetry analysis in physical systems, nonlinear dynamics, and the application of these principles to graphene-based nanodevices and condensed matter physics. He has authored numerous publications on topics such as quantum transport in graphene, symmetry reduction techniques, and integrable systems. His work bridges fundamental theoretical insights with practical applications in nanotechnology. Research Interests: Analysis and reduction of symmetries in physical systems Quantum transport in 2D materials (graphene and related systems) Nonlinear wave models and integrable hierarchies Graphene nanostructures and electronic nanodevices Quantum phenomena in confined systems Publications Trends: His work spans over two decades, with recent contributions focusing on graphene's quantum properties and symmetry-based approaches to solve complex systems. Earlier research emphasized foundational studies in quantum mechanics and nonlinear dynamics, including laser-atom interactions and Floquet analysis. Awards and Grants: No specific awards or grants are mentioned in the provided text. Advising and Collaborations: While no advisees are listed, his research often involves collaborations with colleagues such as P.G. Estévez, C. Sardón, and F. Domínguez-Adame, reflecting a strong collaborative approach to theoretical physics. Labs and Teams: His research is embedded within the Department of Applied Physics at the University of Salamanca, leveraging computational and theoretical tools to explore quantum and nonlinear systems.

Andrew Jackuraمشاهده پروفایل

استاد پژوهشی

• Nuclear and Particle Theory
• Quantum Chromodynamics
• Reaction Theory and Phenomenology
• +۲ مورد دیگر

Andrew Jackura is a Research Professor in the Department of Physics at the College of William & Mary. His research focuses on theoretical nuclear and particle physics, particularly in quantum chromodynamics (QCD), reaction theory, and hadron spectroscopy. He specializes in lattice field theory methodologies to study multi-particle systems and scattering amplitudes. Dr. Jackura holds a Ph.D. and M.S. in Physics from Indiana University (2019 and 2017, respectively). His work addresses fundamental questions in strong-interaction physics, including three-body systems, Efimov states, and the analytic structure of QCD amplitudes. Recent research emphasizes quantization conditions in finite-volume systems, partial-wave projections for relativistic amplitudes, and exploring exotic hadron states via lattice QCD. His publications (2021–2025) consistently advance computational techniques for multi-hadron interactions and precision calculations in particle physics. His contributions bridge experimental data interpretation with theoretical frameworks, including analyses of LHCb and COMPASS experiments. Current efforts focus on resolving ambiguities in scattering amplitude parametrization and extending formalisms to higher-body systems.

Cristian Armendariz-Piconمشاهده پروفایل

دانشیار

• Cosmology
• Dark Matter
• Dark Energy
• +۶ مورد دیگر

Cristian Armendariz-Picon is an Associate Professor in the Physics Department at St. Lawrence University since 2016. His research focuses on the origin and evolution of the universe, including dark energy, dark matter, and the origin of cosmic structure through primordial inhomogeneities. He holds a Dr. rer. nat. in Physics from Ludwig-Maximilians University (Munich, Germany) and a Diploma in Physics from ETH Zurich (Switzerland). Teaching responsibilities include courses such as College Physics with Lab (Phys 103/104), Mathematical Methods of Physics (Phys 333), Quantum Mechanics (Phys 401), and advanced laboratory courses for senior-year students (Phys 489/498, Phys 490/499). His research explores foundational questions in cosmology, including inflationary dynamics, gravitational wave production, and the interplay between particle physics and dark sector phenomena. Armendariz-Picon’s work bridges theoretical frameworks like k-essence, modified gravity, and early universe thermodynamics with observational implications. His articles span topics from preheating dynamics to statistical anisotropy and Lorentz invariance tests. He has no listed awards but maintains active research collaborations in cosmological perturbation theory and dark matter physics.

Ioan Popمشاهده پروفایل

استاد

• Superconducting Quantum Circuits
• Quantum Information Processing
• Josephson Junctions
• +۷ مورد دیگر

Prof. Dr. Ioan Pop is a joint professor at the Karlsruhe Institute of Technology (KIT) and Stuttgart University, operating under the Jülich model. His research group is based at KIT, integrated within the Helmholtz Association, with presence on both the north and south campuses. He is affiliated with the Physics Institute and the Institute for Quantum Materials and Technologies (IQMT). His teaching duties are carried out at Stuttgart University. Research Interests: Prof. Pop's work centers on superconducting quantum circuits, particularly focusing on Josephson junctions and their applications in quantum memory, processing, and detection. His group aims to design quantum circuits protected against decoherence—critical for scalable quantum computing. Research themes include fluxonium qubits, granular aluminum superconductors, quantum amplifiers, and mitigation of environmental noise sources such as radioactivity and two-level systems. His recent publications reveal a strong trend toward improving coherence, control, and scalability in superconducting quantum devices. Work spans from fundamental quantum phenomena to applied quantum engineering, with emphasis on parametric amplifiers, non-demolition readout, hybrid systems, and material-level innovations in tantalum and germanium platforms. Scientific Awards: Sofja Kovalevskaja Award from the Alexander von Humboldt Foundation Advising and Grants: Since 2015, Prof. Pop has led a startup research group supported by the Alexander von Humboldt Foundation’s prestigious Sofja Kovalevskaja Award. From 2020 onward, he has continued as a research group leader in the Helmholtz Association. He supervises a growing research team at KIT, mentoring students and postdocs in experimental quantum device physics. Labs and Teams: The Pop Research Group is embedded within KIT’s Physics Institute and IQMT, operating advanced nanofabrication and low-temperature measurement facilities. The team collaborates extensively with institutions like Yale University, CNRS, and other Helmholtz centers, and participates in large-scale quantum initiatives leveraging underground laboratories for coherence enhancement.

• Quantum Physics
• Quantum Computing
• Quantum Information
• +۷ مورد دیگر

Mohammad Ansari is a theoretical physicist and Principal Investigator at Forschungszentrum Jülich's Peter Grünberg Institute (PGI-2: Theoretical Nanoelectronics), with a secondary appointment at RWTH Aachen University's Institute for Quantum Information. He leads the Quantum Device Theory group focused on advancing quantum computing technologies through theoretical modeling and innovation. His research spans multiple domains within quantum information science, with particular emphasis on scalable superconducting qubits , quantum thermodynamics , and quantum field theory applications . Ansari's work bridges fundamental physics with practical quantum computing implementations, exploring novel correspondences between information theory and physical phenomena. His publication record shows consistent advancement in quantum computing theory, with recent focus on eliminating parasitic interactions in quantum processors, developing novel quantum gates, and applying quantum techniques to biological systems. The research demonstrates a trajectory from fundamental quantum gravity work to practical quantum computing implementations. John Brodie Prize from Perimeter Institute for Theoretical Physics Novel symmetry in quantum computation verified by IBM Watson Research Center (2020) Pioneering work on quantum fluctuation-dissipation theorem (2015) Early theoretical work on quantum gravitational effects in black hole radiation (2006) Ansari actively supervises a diverse team of researchers, including postdocs, PhD students, and Master's candidates, fostering the next generation of quantum scientists. His group maintains strong collaborations with institutions including MIT, UCSB, and University of Waterloo. The team operates from facilities at both Forschungszentrum Jülich and RWTH Aachen, leveraging resources from Germany's leading quantum research centers.

• RF Technology
• Mm-wave Technology
• Terahertz Technology
• +۳ مورد دیگر

Sang-hee Shin is an Assistant Professor in the Department of Intelligence and Information Convergence at Sejong University, South Korea. Previously, from 2022 to 2024, Shin worked as a Higher Research Scientist at the National Physical Laboratory in the UK. With a Ph.D. and M.Eng. from Imperial College London, Shin has established expertise in RF, millimeter-wave, and terahertz technologies with applications in quantum computing and communications. Shin's educational background includes a Ph.D. from Imperial College London (2021) and an M.Eng. from the same institution (2018). Research interests focus on RF, Mm-wave and Terahertz Technology for Future Communications, and Cryogenic-RF technologies for Quantum Technology Applications. The work spans microwave metrology, cryogenic measurements for quantum computing, and 3D printing of high-frequency components. Recent publications demonstrate expertise in S-parameter measurements at cryogenic temperatures, characterization of quantum computing components, and additive manufacturing of waveguide structures for millimeter-wave and terahertz applications. Shin's recent publications (2021-2024) reveal a strong focus on microwave metrology for quantum technologies, cryogenic measurements, and 3D printing of high-frequency components. The research spans fundamental metrology challenges in quantum computing infrastructure to practical applications of additive manufacturing for millimeter-wave and terahertz components. A notable trend is the integration of traditional microwave engineering with quantum technologies and advanced manufacturing techniques. IMWS-AMP 2019 Award Shin has collaborated extensively with researchers at the National Physical Laboratory, Imperial College London, and other institutions. The research has involved characterization of quantum computing components, development of cryogenic measurement techniques, and innovative applications of 3D printing for high-frequency electronics. Current work at Sejong University appears to continue these research directions with a focus on intelligence and information convergence. Shin's research involves close collaboration with the Time, Quantum & Electromagnetics Division at the National Physical Laboratory and Stepan Lucyszyn's Lab at Imperial College London. The work bridges academic research and national metrology institute capabilities, focusing on practical implementation of quantum technologies and advanced manufacturing for high-frequency applications.

Céline Helbertمشاهده پروفایل

مدرس ارشد

• Statistics
• Numerical Experimental Designs
• Functional Data Analysis
• +۶ مورد دیگر

Céline Helbert is a Senior Lecturer at the École Centrale de Lyon, affiliated with the Department of Mathematics and Computer Science and the Camille Jordan Institute (UMR CNRS 5208). Her research focuses on statistics, numerical experimental design, and functional data analysis. Education: DEA in Financial and Actuarial Sciences (ISFA, Lyon), ICM at École des Mines de Saint-Étienne. Research: Expertise in kriging (Bayesian, high-dimensional), Gaussian process optimization, metamodelling for complex systems, and sensitivity analysis for functional inputs. Projects: Led the CIROQUO consortium (2021-2024) and contributed to initiatives like Chaire OQUAIDO (2016-2020) and ANR Pepito (2014-2019). Students: Supervised PhD candidates including Martin Buisson (automotive design), Reda El Amri (functional uncertainty analysis), and Simon Nanty (stochastic sensitivity analysis). Software: Maintainer of R packages DiceDesign and DiceEval for computer experiment design and validation. Conferences: Active in organizing events like JDS2022 and GDR Mascot Num workshops.

Matteo Mariantoniمشاهده پروفایل

دانشیار

• Quantum Computing
• Quantum Error Correction
• Superconducting Quantum Circuits
• +۳ مورد دیگر

Matteo Mariantoni is an Associate Professor at the University of Waterloo and a core faculty member of the Institute for Quantum Computing (IQC). He specializes in experimental quantum computing, focusing on superconducting qubits, quantum error correction, and scalable quantum hardware. His research includes developing high-fidelity two-qubit gates and 3D-wired architectures for scalable systems. Education: PhD in Physics, Technical University Munich (2009) MSc in Physics, Chalmers University of Technology (2003) Research Interests: His work centers on quantum error correction via surface codes, novel qubit readout techniques using shelving mechanisms, and 3D wiring innovations. He collaborates with Dr. Zbig Wasilewski on ultra-high-quality aluminum films for superconducting circuits. His team also explores quantum simulations of the Jaynes-Cummings-Hubbard model to study photonic phase transitions. Teaching: PHYS 242/342/442: Electricity and Magnetism (taught 2020–2025) Awards: Early Researcher Award (2014) Alfred P. Sloan Research Fellowship (2013) Labs & Teams: He leads the IQC Quantum Hardware Group, advancing scalable quantum architectures and superconducting circuit technologies.

• Model-Based Design Methods
• Design Automation
• Optimization
• +۵ مورد دیگر

Marc Geilen is an Associate Professor at the Electronic Systems group of Eindhoven University of Technology (TU/e) . He leads the Model-Based Design Lab within the CompSOC Lab and High Tech Systems Center .