جست‌وجوی استاد و پژوهشگر

Lukas Kühneمشاهده پروفایل

استادیار

• Combinatorics
• Algebraic Geometry
• Hyperplane Arrangements
• +۴ مورد دیگر

Lukas Kühne is an Assistant Professor (Juniorprofessor) at Bielefeld University's Faculty of Mathematics. His research focuses on the intersection of combinatorics, algebra, and geometry, with specializations in hyperplane arrangements, matroids, polytopes, and computational methods. He actively contributes to software development for combinatorial mathematics, including the Oscar module for matroids and the CountingChambers.jl package. Education: PhD from Hebrew University of Jerusalem (2017-2020), Master's from University of Bonn (2014-2017), and Bachelor's from TU Kaiserslautern (2011-2014). His work has been supported by grants such as DFG SPP 2458 and SFB-TRR 358. Research interests include experimental methods in combinatorics, geometric realizability of matroids, and applications of discrete mathematics in algebraic geometry. Recent work explores simpliciality in arrangements, cosmological polytopes, and algorithmic approaches to hyperplane arrangement properties. Teaching responsibilities include courses on Linear Algebra, Discrete Mathematics, and Finite Reflection Groups. He organizes conferences such as the 'Dive into Research: Simpliciality in Arrangements and Matroids' and has participated in international workshops on combinatorial algebraic geometry.

Mihai Horoiمشاهده پروفایل

استاد

• Nuclear Structure
• Theoretical Nuclear Physics
• Computational Quantum Many-Body Systems
• +۹ مورد دیگر

Mihai Horoi is a Professor in the Department of Physics at Central Michigan University, under the College of Science & Technology. He holds a Ph.D. in Physics and an M.S. in Computer Science, and has over 20 years of experience in research and teaching in theoretical nuclear physics and high-performance computing. Department: Department of Physics School: College of Science & Technology University: Central Michigan University Office: Dow 212 Email: horoi@cmich.edu His educational background includes a Ph.D. in Physics from the Institute of Atomic Physics, Bucharest (1990), an M.S. in Computer Science from Michigan State University (1997), and B.S./M.S. in Physics from the University of Bucharest (1979). Ph.D., Physics, Institute of Atomic Physics, Romania, 1990 M.S., Computer Science, Michigan State University, USA, 1997 M.S. and B.S., Physics, University of Bucharest, Romania, 1979 Dr. Horoi's research focuses on nuclear structure, quantum many-body systems, and computational methods. He specializes in large-scale shell model calculations, neutrinoless double-beta decay, shape coexistence in nuclei and clusters, and the development of high-performance computing algorithms. His work integrates physics and computer science to solve complex quantum problems. His recent publications reveal a strong focus on nuclear matrix elements for double-beta decay, center-of-mass corrections in nuclear models, coupled-cluster methods for heavy nuclei, and optimization algorithms for atomic cluster geometry. The research spans theoretical nuclear physics, computational physics, and materials science, reflecting interdisciplinary expertise in quantum systems and high-performance computing. Dr. Horoi has secured external funding from the National Science Foundation and the Department of Energy Office of Science. He has developed the CMichSM code for nuclear structure calculations and has extensive experience in software and hardware evaluation for scientific computing environments. Creator of CMichSM high-performance nuclear structure code Expertise in parallel processing and advanced networks Proven record in grant writing and research funding He has presented invited talks at international conferences such as "Neutrinos and Dark Matter 2015" in Finland and workshops at Michigan State University's NSCL/FRIB, highlighting his active engagement in the global nuclear physics community.

Hannah Caoمشاهده پروفایل

مدرس ارشد

• Computer Networks
• Cyber Security
• Distance Learning
• +۴ مورد دیگر

Hannah Cao is a Senior Lecturer in Computer Science Education and Director of Online Studies at King's College London's Department of Informatics. She holds a PhD from the National University of Singapore and prior academic roles including Principal Lecturer at the University of Hertfordshire, Research Fellow at NUS, and Assistant Professor at Huazhong University of Science and Technology. She is a Senior Fellow of the Higher Education Academy (SFHEA). Her research focuses on Computer Networks (Future Networking, IoT Protocol Design, Quantum-based Mobile Ad Hoc Networks), Cyber Security (Authentication Protocols, IoT Security, Blockchain Applications), and Distance Learning (Online Pedagogy, Academic Integrity, E-Learning Security). She leads initiatives in cybersecurity education innovation, including leveraging AI and blockchain for threat intelligence and curriculum design. Recent work includes studies on post-pandemic education impacts, SDN/P4 protocol evaluation, and inclusive group assessment strategies. She contributes to interdisciplinary research hubs like the Trusted Autonomous Systems Hub and King's Cybersecurity Centre, focusing on trustworthy systems and FinTech intersections. Awards include SFHEA recognition for educational excellence. Her 80+ publications span peer-reviewed journals/conferences, with emphasis on network security, education technology, and protocol design.

Andrea Benigniمشاهده پروفایل

استاد

• Energy Systems
• Power Grids
• Simulation Tools
• +۵ مورد دیگر

Prof. Andrea Benigni is a Professor and Director at the Research Center Jülich GmbH, leading the Energy System Technology (ICE-1) department within the Institute of Climate and Energy Systems (ICE). His work focuses on advanced simulation tools for multi-energy systems, power grid optimization, and real-time control solutions. Key research areas include: Multi-energy system integration (power, gas, thermal) High-performance simulation frameworks (e.g., GasNetSim, HeatNetSim) Quantum computing applications for grid partitioning Hydrogen blending in gas networks Hardware-in-the-loop testing for control architectures PMU-based fault detection and grid resilience Benigni has pioneered open-source tools like HeatNetSim and contributed to FIWARE-based ICT platforms for building/district-level energy systems. His recent work emphasizes digital twin applications for pseudo-measurement generation and parallel simulation techniques leveraging GPUs and FPGAs. Notable achievements include: Development of MGRIT-based parallel-in-time electromagnetic simulations Optimization methods for battery sizing in multi-vector systems Quantitative analysis of high PV penetration impacts in African grids Current projects involve: Hydrogen integration strategies for Southern Italy gas networks DC microgrid communication protocols via low-frequency injection Cloud-based multi-agent systems for grid flexibility management

Viktor Levandovskyyمشاهده پروفایل

استاد مهمان

• Algebra
• Computer Algebra
• Non-commutative Gröbner Bases
• +۸ مورد دیگر

Viktor Levandovskyy is a Visiting Professor at the Institute of Mathematics, Faculty of Mathematics and Natural Sciences, University of Kassel, Germany. He previously held the position of Assistant Professor at RWTH Aachen University and has been a postdoctoral researcher at the Research Institute for Symbolic Computation in Linz, Austria. His research focuses on Algebra, Computer Algebra, and Non-commutative Gröbner Bases , with significant applications in differential equations, symbolic computation, and control theory. His work bridges theoretical mathematics with practical algorithm development and software implementation. His recent publications demonstrate a strong trend in non-commutative algebraic computations , particularly in developing and applying Gröbner basis techniques for free algebras and Ore localizations, often implemented within the Singular computer algebra system. His work spans pure algebra (e.g., the Dixmier Conjecture) to applied symbolic methods (e.g., structural optimization). Co-editor, Journal of Symbolic Computation, Special Issue on Symbolic Computation and its Applications (2012) Co-editor, Journal of Symbolic Computation, Special Issue on Non-commutative Gröbner Bases and Applications (2007) Levandovskyy has led significant software development projects, most notably the Plural and Letterplace subsystems of Singular. He has advised students and led research teams, contributing to a network of over 5,700 reads and 769 citations. His work involves extensive collaboration with researchers in algebra and computer science. He is actively involved in the computer algebra community, presenting at major conferences like ISSAC and MTNS, and his research continues to advance algorithmic methods in non-commutative algebra.

• High Performance Computing
• Parallel Computing
• Heterogeneous Computing
• +۱۲ مورد دیگر

Anne C. Elster is a Professor in the Department of Computer Science at the Norwegian University of Science and Technology (NTNU), within the Faculty of Information Technology and Electrical Engineering. She is the founder and director of the HPC-Lab, a leading research group in heterogeneous and parallel computing. She also maintains a long-standing affiliation with the Oden Institute at the University of Texas at Austin as a Senior Visiting Scientist until Summer 2025. Research Interests: Her work spans high-performance computing (HPC), GPU computing, parallel algorithms, auto-tuning, performance optimization, and machine learning applications in scientific computing. She leads research in heterogeneous architectures and has contributed significantly to compiler and runtime systems for GPUs and accelerators. Publications Trends: Her recent publications (2021–2024) focus on GPU acceleration, auto-tuning frameworks (e.g., BAT, LS-CAT), performance modeling (Roofline), machine learning integration in HPC, and applications in geophysical and scientific computing. There is a strong emphasis on empirical evaluation, benchmarking, and practical optimization techniques. Scientific Awards and Recognition: IEEE Senior Member (2000) IEEE Computer Society Distinguished Contributor Charter member, NTNU's Board (2021) Distinguished Speaker, IEEE Computer Society (2019–2022) Advising and Grants: She has advised over 100 master’s students and several PhD students. She has led major funded projects including the RCN SFI Centre for Geophysical Forecasting, EU H2020 CloudLightning and TICOH, and NFR FRINATEK on Computational Microscopy. She has served on numerous international program committees and evaluation boards. Labs and Teams: She leads the HPC-Lab at NTNU, which includes postdocs, PhDs, and master’s students, and collaborates with international researchers. The lab is a hub for innovation in GPU computing, auto-tuning, and HPC applications.

• Amorphous materials
• Defects in crystalline materials
• Electron microscopy techniques
• +۳ مورد دیگر

Paul Voyles is a Professor in the Department of Materials Science & Engineering at the University of Wisconsin-Madison , affiliated with the College of Engineering . His research focuses on the atomic-scale structure of materials, particularly amorphous solids and defects in crystalline systems. He obtained his PhD (2001), MS (1999) from the University of Illinois-Urbana Champaign, and a BS (1996) from Oberlin College. His work spans experimental techniques like aberration-corrected Z-contrast STEM , EDS/EELS microanalysis , and coherent electron nanodiffraction . Research Themes : Fluctuation electron microscopy for amorphous material structure Defect and interface analysis in nanoelectronics, spintronics, and catalysts Machine learning applications in materials characterization Recent publications (2023–2025) emphasize 4D STEM for structural heterogeneity, metallic glass crystallization kinetics, and AI-driven microscopy data analysis. His scientific awards include: NSF CAREER Award (2004) Vilas Mid-Career Research Award (2015) Best Technique and Instrumentation Paper (2015) He teaches advanced courses in electron microscopy and materials analysis (e.g., MSE 758 Transmission Electron Microscopy Laboratory ). Collaborative projects highlight interdisciplinary approaches to functional interfaces, quantum materials, and glassy dynamics.

John A. Marohnمشاهده پروفایل

استاد

• Nanoscale Imaging
• Magnetic Resonance Force Microscopy
• Semiconductor Charge Dynamics
• +۴ مورد دیگر

John A. Marohn is a Full Professor in the Department of Chemistry and Chemical Biology at Cornell University, affiliated with the College of Arts and Sciences. He leads the Marohn Research Group focusing on nanoscale imaging techniques. His research bridges analytical chemistry, materials physics, and nanotechnology with emphasis on developing magnetic resonance force microscopy for biomolecular imaging and electrical probe microscopy for semiconductor devices. Education: • B.S. Chemistry, University of Rochester (1989) • B.A. Physics, University of Rochester (1989) • Ph.D. Chemistry, California Institute of Technology (1996) • Postdoctoral Associate, US Army Research Laboratory Research Focus: Dr. Marohn's work centers on pushing imaging resolution limits to study individual biomolecules and charge dynamics in next-generation semiconductors. Key areas include: • Nanoscale magnetic resonance imaging • Charge transport in perovskites and organic photovoltaics • Quantum measurement techniques • Scanning probe microscopy development Publication Trends: His 15 most recent publications demonstrate consistent focus on experimental techniques for nanoscale characterization, with growing emphasis on perovskite semiconductors, magnetic resonance methodology refinement, and computational modeling frameworks. Work frequently appears in high-impact journals including ACS Nano, Physical Review Applied, and Journal of Chemical Physics. Academic Leadership: Heads active research group supervising 7 current PhD students with over 30 PhD alumni. Secured multiple grants from NIH, NSF, and ARO. Contributes to Cornell's Materials Science Engineering graduate field and Center for Materials Research.

Lars Schützeمشاهده پروفایل

پژوهشگر

• Compiler Construction
• Homomorphic Encryption
• Quantum-Classical Computing
• +۳ مورد دیگر

Dr. Lars Schütze is a researcher at the Chair for Compiler Construction within the Faculty of Computer Science at Dresden University of Technology (TU Dresden). Holding a PhD in Computer Science from TU Dresden, he currently serves as a PostDoc specializing in domain-specific compilers for verifiable Full Homomorphic Encryption (vFHE) and hybrid quantum-classical computing systems. His academic credentials from TU Dresden include: Bachelor's degree in Computer Science Master's degree in Computer Science PhD in Computer Science (awarded February 2025) Schütze's research centers on advanced compiler design for emerging computational paradigms. His foundational work explores context-oriented and role-based programming languages, focusing on runtime optimization and dispatch mechanisms. Recent efforts pivot toward post-quantum security through homomorphic encryption compilers and hybrid quantum-classical computing frameworks. His research bridges theoretical language design with practical compiler implementation, emphasizing verifiable security and performance efficiency in next-generation computing environments. Publication analysis reveals a clear evolution from context-oriented programming (2017-2020) toward cryptographic compiler development (2022-2025). Early work optimized role-based dispatch systems, while recent publications establish compiler frameworks for Fully Homomorphic Encryption using MLIR infrastructure. His research consistently addresses performance bottlenecks in dynamic language features while transitioning toward quantum-resistant cryptography solutions. Scientific Awards: No awards documented in source materials Dr. Schütze supervises student theses in Homomorphic Encryption and Quantum-Classical Computing frameworks, offering projects spanning Bachelor to Master levels. His research is funded through institutional projects including (verifiable) Full Homomorphic Encryption and Hybrid Quantum-Classical Computation, though specific grant details remain undisclosed. He actively develops compiler infrastructure for encrypted computation and quantum-classical orchestration. As core personnel in TU Dresden's Chair for Compiler Construction, Schütze contributes to the RoSI project (role-based software infrastructures) and leads current initiatives in vFHE. His team collaborates on building domain-specific compiler toolchains that address quantum computing threats through post-quantum cryptographic solutions while advancing hybrid execution models for emerging hardware architectures.

Claudio Giovanni Demartiniمشاهده پروفایل

استاد

• Computer Engineering
• Education Innovation
• Innovation Management
• +۵ مورد دیگر

Claudio Giovanni Demartini is a Full Professor of Computer Engineering at the Department of Control and Computer Engineering (DAUIN) at Polytechnic University of Turin . Holding the academic rank of Professor, he has been actively involved in teaching, research, and institutional governance since the 2000s. His affiliations include the GRAINS research group (Graphics and Intelligent Systems), NEXA Center on Internet and Society, and leadership roles in the Academic Senate and Department of Computer Engineering (2015-2019). PhD in Information and Systems Engineering (1987) Engineering Degree in Electronics (1980), Polytechnic University of Turin Research Interests span multiple domains of Computer Engineering and Information Systems , with specific focus on: IT Governance and Enterprise Architecture Digital Transformation in Education Blockchain and Distributed Ledger Technologies Wireless Sensor Networks and Cyber-Physical Systems Innovation Management in Industrial Contexts Human-Machine Interfaces and Virtual Reality Research Trends Analysis reveals consistent engagement with: Data-driven learning organizations (2023-2025) TSCH wireless protocol optimization (2019-2020) Social-technical aspects of IT governance AI applications in educational systems Blockchain for industrial and societal applications Immersive VR interfaces for system control Scientific Distinctions Fellow, IEEE (2007-) Senior Member, IEEE Member, Eta Kappa Nu Honor Association (2017-) Editorial Board, IEEE IT Professional Magazine Advising and Governance includes: Scientific Director for 15+ competitive research projects Leadership in European educational technology initiatives Advising on Italian national education reforms Board roles at Mario Boella Institute and INVALSI

• High-Performance Computing
• Lattice QCD
• Theoretical Particle Physics
• +۳ مورد دیگر

Christopher Kelly is a Research Fellow at the Computational Science Initiative (CSI) of Brookhaven National Laboratory , where he specializes in high-performance computing (HPC) and theoretical particle physics. His expertise spans two decades in developing and optimizing large-scale scientific software for supercomputers like Summit, Perlmutter, and Frontier. Research Focus : Lattice Quantum Chromodynamics (QCD) and kaon physics, particularly exploring CP-violation in K→ππ decays to address matter-antimatter asymmetry in the universe. Design and optimization of HPC tools (e.g., Chimbuko, CPSfit) for performance analysis and data analysis workflows on exascale systems. Collaboration with the RBC & UKQCD groups and Intel PathForward Exascale Computing Project. Scientific Awards : ISAV 2020 Best Paper Award for Chimbuko tool development. RIKEN Foreign Postdoctoral Research Fellowship (2013). Ken Wilson Lattice Award (2012). Leadership and Mentorship : Leads the Chimbuko project, supervises backend development teams, and mentors summer interns and postdocs. He was instrumental in the DEI Council at CSI and has collaborated with Columbia University on lattice QCD optimization projects. Labs & Teams : Active in the RBC & UKQCD collaborations, ECP CODAR and LatticeQCD projects, and the Intel Aurora oneAPI framework.

Raymond Laflammeمشاهده پروفایل

استاد

• Quantum Computing
• Quantum Error Correction
• Quantum Simulation
• +۳ مورد دیگر

Raymond Laflamme serves as Advisory Committee Chair at the University of Waterloo's Institute for Quantum Computing and holds a Canada Research Chair in Quantum Information Science since 2002. A leading theoretical physicist, he has shaped foundational quantum computing research globally. His academic credentials include: PhD in Applied Mathematics and Theoretical Physics from University of Cambridge BS in Physics from Université Laval Laflamme's research pioneers quantum error correction methodologies , quantum simulation techniques , and experimental implementations using spin/photon systems . His work bridges theoretical frameworks with physical quantum device construction, notably influencing Stephen Hawking's reversal of time-direction theories as documented in A Brief History of Time . Current efforts focus on heat-bath algorithmic cooling and fault-tolerant gate architectures for scalable quantum processors. Publication trends (2006-2016) reveal progressive specialization from textbook foundations to experimental thermodynamics in quantum systems, with increasing emphasis on error-resistant architectures and algorithmic cooling techniques essential for practical quantum computing. Major recognitions include: Officer of the Order of Canada (2017) CAP-CRM Award (2017) Honorary Degree from Université de Sherbrooke (2012) Canada Research Chair (2002–present) AAAS Fellowship (2011) Ontario Premier's Discovery Award (2008) FRSC and APS Fellowships (2008) As Canada Research Chair, Laflamme directs substantial federal funding toward quantum information science infrastructure. His textbook co-authorship and Nature review article demonstrate exceptional knowledge dissemination, while ongoing PRL publications validate continuous research leadership. Though student advising isn't explicitly documented, his institute role implies mentorship of next-generation quantum scientists through the Institute for Quantum Computing's extensive training programs. Laflamme operates within Waterloo's Institute for Quantum Computing—a globally recognized hub housing 150+ researchers across quantum hardware, software, and communication domains—where his advisory leadership shapes strategic research directions and international collaborations.

• Quantum Computing
• Optimization
• Microelectronics
• +۳ مورد دیگر

Deborah Volpe is a Part-Time Lecturer at the Department of Electronics and Telecommunications (DET), Politecnico di Torino. She actively contributes to teaching in the Master of Science in Microelectronic Systems and Quantum Hardware Design courses since 2022. Her research focuses on quantum computing, optimization algorithms, and FPGA development for quantum-classical hybrid systems. Teaching: Microelectronic Systems (2022–2024), Quantum Hardware Design (2024) Collaborations: Quantum Engineering and FPGA-based quantum emulation Recent publications (2024–2025) highlight applications of quantum optimization in satellite operations and FPGA-based quantum circuit emulation. She supervises doctoral student Christian Conti and participates in interdisciplinary research teams for quantum hardware projects.

Stefan van Waasenمشاهده پروفایل

استاد

• Quantum Computing
• Neuromorphic Computing
• Cryogenic CMOS
• +۳ مورد دیگر

Prof. Stefan van Waasen serves as Director of the Peter Grünberg Institute's Integrated Computing Architectures division (PGI-4) and holds a Full Professorship in Communication Systems at the University of Duisburg-Essen. His work bridges quantum computing, neuromorphic systems, and cryogenic electronics development. Director, Integrated Computing Architectures (PGI-4) Full Professor, Communication Systems, University of Duisburg-Essen Research Focus: Electronic Systems for Quantum & Neuromorphic Computing Research Interests center on quantum dot electronics, memristor-based architectures, and cryogenic CMOS technology. His group develops scalable control systems for qubits and neuromorphic networks, with particular emphasis on power management and signal integrity at ultra-low temperatures. Publication Trends reveal a technical focus on quantum computing interfaces, neuromorphic hardware, and particle detector systems. His recent work includes co-simulation tools for cryogenic electronics optimization and novel architectures for memristor arrays in machine learning applications. Laboratory Involvement includes leadership at Forschungszentrum Jülich's Peter Grünberg Institute (PGI-4), where his team works on integrated circuits for quantum and neuromorphic computing platforms.

Jeeseong C. Hwangمشاهده پروفایل

پژوهشگر

• Nanobiophotonics
• Optical Imaging
• Quantitative Molecular Physics
• +۷ مورد دیگر

Jeeseong C. Hwang is a Researcher at the National Institute of Standards and Technology (NIST) in the Applied Physics Division of the Physical Measurement Laboratory, leading the Molecular and Bio-Photonics Group. He has been with NIST since 1993, transitioning from Gaithersburg, MD (1997-2013) to Boulder, CO (2013-present), following prior research at Johns Hopkins University. His academic background includes: Ph.D. in Condensed Matter Physics, Michigan State University B.S. in Physics, Seoul National University Dr. Hwang's research centers on nanobiophotonics and optical imaging , with core expertise in multimodal molecular imaging techniques, development of optical phantoms for medical device calibration, bio-inspired nanoscale assembly for optical sensors, and quantitative image analysis software. His work bridges atomic/molecular physics, quantum optics, and biomedical engineering to solve challenges in pathogen detection and tissue imaging. His scientific impact is recognized through: SPIE Fellowship (2025) NIST/Department of Commerce Silver Medal (2008) Washington Academy of Sciences Biological Sciences Award (2012) With over 100 technical publications and 65+ invited talks, he actively shapes the field through service on the SPIE BiOS Conference committee since 2006. His Molecular and Bio-Photonics Group drives innovation in optical imaging standards and nanoscale biosensors for clinical applications.