جستجوی استاد راهنمای دانشگاهی

Tomás Fernández Penaمشاهده پروفایل

استاد

• High Performance Computing (HPC)
• Parallel and Distributed Systems
• Quantum Computing
• +۵ مورد دیگر

Tomás Fernández Pena is a Full Professor at the University of Santiago de Compostela (USC) and Senior Researcher at the Research Center in Intelligent Technologies (CiTIUS) . With a career spanning over three decades, he has held academic positions since 1990 and contributed extensively to High Performance Computing (HPC), Big Data, and emerging quantum computing fields. Ph.D. in Physics from USC (1994) Senior Member of IEEE Associate Editor for IEEE Transactions on Computers and IEEE Access Research Contributions : His work focuses on parallel systems architecture, cloud computing middleware, and quantum simulation optimization. He has pioneered methods for NUMA systems, LiDAR data processing, and Big Data applications in bioinformatics/cheminformatics. His recent articles show increasing emphasis on quantum computing frameworks and distributed quantum processing. Scientific Recognition : Holds four Spanish Ministry of Education six-year research excellence periods (sexenios de investigación) and has served as Principal Investigator in 3 public projects and co-investigator in 31 EU/Xunta de Galicia funded initiatives. Supervised 7 Ph.D. theses and published 43+ international journal papers. International Collaborations : Maintains academic connections through funded research stays at Loughborough University, University of Tennessee, and University of Illinois Urbana-Champaign. Active in IEEE and participates in global conferences like Euro-Par and CHEP.

Juan Carlos Pichel Camposمشاهده پروفایل

استاد

• parallel and distributed computing
• Big Data technologies
• programming models
• +۷ مورد دیگر

Juan Carlos Pichel Campos is a Full Professor at the University of Santiago de Compostela (USC) specializing in high performance computing and language technologies. His research spans quantum computing, distributed systems, and Big Data technologies with a focus on practical applications in health informatics and computational physics. He received his B.Sc. and M.Sc. in Physics from University of Santiago de Compostela (Spain) and completed his Ph.D. there in 2006. He conducted postdoctoral research at University Carlos III de Madrid and University of Illinois at Urbana-Champaign, and worked as a researcher and project manager at Galicia Supercomputing Center. Professor Pichel's research interests include parallel and distributed computing, Big Data technologies, programming models, and software optimization techniques for emerging architectures. His recent work has focused on bridging quantum computing with classical high performance computing systems, developing efficient algorithms for processing massive biological datasets, and creating tools for health-related information retrieval and misinformation detection. His interdisciplinary approach combines techniques from computer science, physics, and biomedical informatics to solve complex computational problems. Analysis of his recent publications reveals a strong trend toward quantum computing applications and integration with classical HPC systems (accounting for approximately 40% of his recent work), followed by health informatics and natural language processing (about 30%), and bioinformatics and computational physics (about 30%). His research demonstrates a consistent focus on developing practical tools and frameworks that address real-world computational challenges across multiple domains. rePowerSiC: High-Efficiency High-Power Laser Beaming In-Space Systems Based On Sic (2024-2028) C3HS: Content curation for consumer health search - Search and misinformation detection (2023-2026) Big-eRisk: Early Prediction of Personal Risks on Massive Data (2021-2024) eRISK: Technologies for the early prediction of signs related with psychological disorders (2019-2021) BigNLP: Approaching High Performance Computing to Big Data Technologies: Natural Language Processing as Case Study (2015-2018) Professor Pichel has established strong collaborations with research groups across Europe and the United States, particularly in the fields of quantum computing and biomedical informatics. He is actively involved with CiTIUS (Centro singular de investigación en tecnoloxías da información e da comunicación de USC), contributing to its mission of advancing information and communication technologies through interdisciplinary research.

• Computer Architecture
• High-Performance Computing (HPC)
• Internet of Things (IoT)
• +۷ مورد دیگر

Vincent Bode is a researcher and teaching assistant at the Chair of Computer Architecture and Parallel Systems at the Technical University of Munich (TUM) . His work focuses on benchmarking and optimizing Data Distribution Service (DDS) middleware for Industrial IoT applications, particularly through the DDS-Perf project in collaboration with Siemens .

Sam Westrickمشاهده پروفایل

استادیار

• Parallel Programming
• Functional Programming
• Compiler Design
• +۴ مورد دیگر

Sam Westrick is an Assistant Professor in the Courant Institute of Mathematical Sciences at New York University . Previously, he was a postdoctoral researcher at Carnegie Mellon University , where he also earned his PhD in 2022 . Research Focus : Provably efficient implementations of high-level parallel programming languages, with key contributions in parallel garbage collection , automatic granularity control , and functional language design Teaching : Currently teaching CSCI-GA.3033-121: Programming Parallel Algorithms at NYU; was a TA for CMU courses 15-210 and 15-122 His work includes the development of MaPLe (MPL) , an open-source parallel functional language with performance comparable to C/C++. Notable awards include the SIGPLAN Reynolds Doctoral Dissertation Award (2023) and best/distinguished paper recognitions at QCE'24, POPL'24, and others. Selected Publications explore topics like quantum circuit simulation , cache coherence specialization , and separation logic for disentanglement . Active in conference service as ML Family Workshop chair and PLDI/SPAA committee member. Mentoring : Advises PhD students, master's and undergraduate researchers at NYU and CMU Collaborators : Umut Acar, Guy Blelloch, Stephanie Balzer, and 20+ others

• Quantum Computing
• Quantum Foundations
• Diagrammatic Reasoning
• +۳ مورد دیگر

John van de Wetering is an Assistant Professor at the Theoretical Computer Science group of the Informatics Institute at the University of Amsterdam . He works with the QuSoft research center and co-develops the PyZX open-source quantum compiler. His research spans quantum computation, diagrammatic reasoning, and quantum foundations. Education: PhD in Computer Science (2022, Radboud University) Research: Focuses on ZX-calculus for quantum circuit optimization, verification, and simulation. Explores quantum foundations through algebraic and compositional methods. Recent work includes quantum circuit optimization with AlphaTensor, completeness proofs for ZH-calculus, and scalable spider nets for transversal non-Clifford gates. He directs the new Master's program in Quantum Computer Science at UvA and co-authored the book Picturing Quantum Software . Notable collaborations include PyZX development and EU Gender Equality Working Group participation. Supervision includes current PhD students Lia Yeh (Oxford), Sarah Li (UvA), and Marc Farreras (Leiden). Former students include Boldizsár Poór (Quantinuum), Julien Codsi (Princeton), and Yanbin Chen (TUM). Tools & Outreach: Maintains the ZX-calculus Wikipedia page, co-lectured courses like Quantum Processes and Computation , and develops the ZX-calculus educational website. Organized QPL2026 conference and contributed to open-access journal Quantum .

• Machine Learning
• Relational Databases
• Quantum Computing
• +۳ مورد دیگر

R. Hai is a researcher active in the fields of Machine Learning , Relational Databases , and Quantum Computing . Their work bridges the integration of large language models (LLMs) with database systems, focusing on optimizing query processing and data management through linear algebraic methods. Hai's research emphasizes seamless data-ML workflows and innovative applications of relational databases in emerging domains. Key Research Themes : LLM compilation to SQL, quantum circuit simulation via RDBMS, and convergence of data integration with ML. Collaborations : Active in international academic networks, with contributions to conferences like SIGMOD and IEEE journals. Scientific Awards: Veni grant AES2022 (2023) Publications demonstrate expertise in overcoming data barriers, enhancing database performance for ML tasks, and simulating quantum computations using relational database management systems.

• Atomic physics
• Theoretical physics
• Energy spectra
• +۴ مورد دیگر

Dr. Pavel Rynkun is a Senior Researcher at the Institute of Theoretical Physics and Astronomy (ITPA) within the Faculty of Physics at Vilnius University. His research focuses on theoretical investigation of energy spectra and transition parameters of atoms and ions, with significant applications in astrophysics, particularly for understanding kilonovae from neutron star mergers. Dr. Rynkun specializes in atomic data calculations, energy spectra analysis, and transition parameters for various atomic systems. His work bridges theoretical atomic physics with astrophysical applications, particularly in the context of neutron star mergers and kilonova phenomena. He has developed expertise in relativistic atomic structure calculations, multiconfiguration Dirac-Hartree-Fock methods, and perturbation theory approaches for complex atomic systems. His publication record shows a strong focus on heavy elements, particularly lanthanides, with applications to astrophysical opacity calculations. Recent work has centered on improving atomic data for kilonovae modeling, investigating energy levels for various ionized elements (including Ce, Pr, Th, and Ba), and developing theoretical frameworks for calculating atomic properties with high precision. His research demonstrates a consistent trajectory toward more sophisticated computational methods for atomic structure calculations. Research Council of Lithuania scholarships (2011-2013) World Federation of Scientist National Scholarship stipend (2012) Dr. Rynkun has supervised multiple student theses, serving as consultant for BSc and MSc theses at Vilnius University and the Lithuanian University of Educational Sciences. His research is well-connected internationally, with collaborations spanning multiple countries and institutions, particularly evident in his extensive publication record in high-impact astrophysics and atomic physics journals.

Frank Leymannمشاهده پروفایل

استاد

• Quantum Computing
• Cloud Computing
• Service-Oriented Architecture
• +۷ مورد دیگر

Frank Leymann is a Professor at the Institute for Architecture of Application Systems, University of Stuttgart. His research spans quantum computing, cloud systems, middleware, and business process management. Affiliation: University of Stuttgart, Institute for Architecture of Application Systems Key Projects: PlanQK, EniQmA, OpenTOSCA, SeQuenC Academic Recognition: Over 30 years of publications in service computing and quantum technologies Research Interests: His work focuses on quantum software engineering , hybrid quantum-classical systems , and cloud application architectures . Notable contributions include TOSCA standardization for cloud deployment and systematic studies on quantum optimization. Recent Publications: 2025-2024 articles emphasize quantum algorithm expressivity , cross-chain blockchain transactions , and post-quantum security . Earlier works (2023-2021) address quantum workflow provenance , QAOA optimization , and IoT platform architectures . Technical Leadership: Director of a multidisciplinary team developing frameworks like OpenTOSCA and tools for quantum application deployment.

• Quantum Computing
• Machine Learning
• Electrical Engineering
• +۵ مورد دیگر

Swaroop Ghosh is a Professor in Electrical Engineering, focusing on cutting-edge research at the intersection of Quantum Computing , Machine Learning , and Hardware Security . His work spans theoretical and applied domains, addressing challenges in quantum error correction, cybersecurity, and drug discovery. Research Trends: His recent publications emphasize Quantum Machine Learning (e.g., adversarial attacks, molecular modeling), Error Correction (surface codes, qubit quality optimization), and Security (cloud-based quantum systems, compiler vulnerabilities). Grants & Projects: He leads multiple National Science Foundation-funded initiatives, including Drug discovery using quantum machine learning and Securing Large-Scale Noisy-Intermediate Scale Quantum Computing . Collaborations: His projects involve cross-disciplinary partnerships with experts in physics, computer science, and cybersecurity. Though no explicit students or awards are listed in the provided text, his prolific research output and leadership in quantum technologies underscore his significant contributions to academia and industry.

• Embedded Systems
• Real-Time Systems
• System-on-Chip Design
• +۷ مورد دیگر

Adriano José Conceição Tavares is an Associate Professor at the School of Engineering, University of Minho, Portugal. He serves as a Senior Researcher at Centro ALGORITMI, where he is affiliated with both the IE R&D Group and the ESRG R&D Lab. His academic credentials include a PhD in Industrial Electronics from the University of Minho, a Master of Science in Information Technology from the University of Coimbra, and an undergraduate degree in Informatics from the University of Coimbra. Professor Tavares specializes in embedded systems with particular expertise in: Embedded systems modeling and design System software design System-on-chip design Real-time operating systems Hardware acceleration and FPGA design Virtualization for embedded systems IoT frameworks and protocols His publication record demonstrates a strong research trajectory in hardware-software co-design, with recent work showing an increasing integration of machine learning techniques into embedded systems. His publications span theoretical frameworks to practical implementations addressing real-time performance, resource constraints, and security challenges. Among his scholarly metrics: h-index of 18 126 publications with 1148 citations 20 publications in Q1/Q2 journals Author of a book on microcontroller programming Professor Tavares has supervised students including Miguel Ângelo Fernandes Silva and has established international collaborations through the Erasmus Program with institutions in China, Iran, Thailand, Jordan, and Cambodia. He teaches advanced courses on embedded and real-time systems modeling, compiler design, system-on-chip design, real-time operating system design, and advanced computer architectures at University of Minho.

• Quantum Information
• Quantum Computation
• Quantum Circuit Compilation
• +۴ مورد دیگر

Dr. Madhav Vijayan serves as a Postdoctoral Research Fellow at the Centre for Quantum Software & Information within the School of Computer Science, Faculty of Engineering and Information Technology at the University of Technology Sydney. His research focuses on advancing quantum computing technologies with emphasis on algorithm development and hardware implementation. Dr. Vijayan earned his PhD in Computer Science from the University of Technology Sydney between 2017 and 2021, following an MSc in Physics from the Indian Institute of Technology Madras (2012-2014). His research interests span multiple domains of quantum information science, specializing in quantum circuit compilation , optical quantum computation , and quantum error correction . His work bridges theoretical quantum information with practical implementation challenges, particularly in photonic quantum computing systems where he has developed novel approaches to circuit optimization and 3D architecture design. Analysis of his publication record from 2018-2024 reveals a consistent focus on quantum resource theory, quantum circuit optimization, and photonic implementations. His research demonstrates progression from foundational quantum information theory toward practical quantum computing applications, with increasing emphasis on compilation techniques and hardware-aware algorithm design. Dr. Vijayan has contributed to significant advancements in quantum computing through his service as an assessor for Sydney Quantum Academy HDR scholarships (2022) and his collaborative research projects in quantum software development. His teaching portfolio includes Introduction to Quantum Computing (2022), Methods in Quantum Computing (2020), and mathematical courses such as Introduction to Mathematical Analysis and Modelling (2019-2020). His work at the Centre for Quantum Software & Information positions him at the forefront of quantum software development, contributing to Australia's growing quantum technology sector through both theoretical advances and practical implementations.

Tony Gherghettaمشاهده پروفایل

استاد

• Physics beyond the Standard Model
• Supersymmetry
• Extra dimensions
• +۵ مورد دیگر

Tony Gherghetta is a Professor in the School of Physics and Astronomy at the University of Minnesota, Twin Cities, with office location at 375-14 John T. Tate Hall. His research spans theoretical high-energy physics and particle phenomenology. His primary research interests include: Physics beyond the Standard Model Supersymmetry and Extra dimensions AdS/CFT holography LHC phenomenology Quantum Chromodynamics Axion physics and cosmology Recent publications (2023-2025) reveal intense focus on axion cosmology solutions to the strong CP problem, effective field theory techniques for massive particles, and precision Standard Model tests. His work bridges theoretical constructs with experimental collider signatures and cosmological observations, particularly in dark matter candidates and quantum gravity implications. Gherghetta has secured significant research funding: Theoretical High Energy Physics at the University of Minnesota (U.S. DOE, 2014-2026) as Co-Investigator New Ideas in Physics Beyond the Standard Model (Simons Foundation, 2019-2022) as Principal Investigator Supersymmetry and Extra Dimensions (Research Corporation, 2003-2008) as Principal Investigator He is an active contributor to the Particle Data Group (PDG), co-authoring the definitive biennial Review of Particle Physics that synthesizes global experimental results and theoretical frameworks for the high-energy physics community.

Anne C. Elsterمشاهده پروفایل

استاد

• High-Performance Computing
• Machine Learning
• GPU Acceleration
• +۴ مورد دیگر

Anne C. Elster is a Professor and Director of the Heterogeneous and Parallel Computing Lab (HPC-Lab) at NTNU's Department of Computer Science, with additional roles as HPC Leader at the Center for Geophysical Forecasting and Senior Research Fellow at the Oden Institute. She holds board positions at NTNU and its Faculty of Information Technology. Her research spans: High-Performance Computing : GPU acceleration, auto-tuning, and heterogeneous systems Machine Learning : Applied to optimization and computational geosciences Parallel Algorithms : For scientific computing and real-time simulations Her recent publications (2021-2024) focus on GPU auto-tuning, quantum-HPC integration, distributed systems, and ML-driven geophysical data analysis, with strong emphasis on performance optimization across architectures. Awards and honors: IEEE Computer Society Distinguished Contributor (2021) IEEE Distinguished Speaker (2019-2022) IEEE Senior Member (2000) She has supervised 100+ master's students, 15+ PhDs, and secured major grants including EU H2020 projects. Current Post Docs focus on HPC acceleration and AI applications. Her HPC-Lab collaborates with CERN, Equinor, and international universities, specializing in GPU-accelerated scientific computing and tools for performance portability.

Jiyuan Wangمشاهده پروفایل

استادیار

• Software Engineering
• Quantum Computing
• Heterogeneous Computing
• +۴ مورد دیگر

Dr. Jiyuan Wang serves as an Assistant Professor in the Department of Computer Science within Tulane University's School of Science & Engineering, commencing his appointment in Fall 2025. Prior to Tulane, he worked as an Applied Scientist at Amazon Web Services, focusing on program analysis and formal verification for cloud systems. His academic background includes a Ph.D. in Computer Science from UCLA (2025) and a B.S. in Physics from Tsinghua University (2019). His educational journey: Doctor of Philosophy (Ph.D.) in Computer Science, University of California, Los Angeles, 2025 Bachelor of Science (B.S.) in Physics, Tsinghua University, 2019 Dr. Wang's research centers on Software Engineering for next-generation computing platforms, with particular emphasis on Quantum Computing and Heterogeneous Computing (including FPGAs and GPUs). He develops innovative techniques for testing and debugging, such as multi-layer compiler debugging, full-stack compiler testing, and fuzz testing tailored for heterogeneous applications. His work bridges the gap between software reliability and the complexities of modern hardware accelerators, addressing critical challenges in compiler correctness and application robustness. An analysis of his publication record from 2020 to 2025 reveals a consistent focus on advancing software testing methodologies for heterogeneous systems. The research evolved from big data analytics (BigFuzz) to compiler testing (HeteroFuzz, DuoReduce) and quantum software stacks (QDiff), demonstrating increasing sophistication in tackling platform-specific challenges. His recent 2025 papers highlight breakthroughs in MLIR compiler debugging and fuzzing. His notable recognitions include: SIGSOFT Research Highlight for QDiff (ASE 2021) Best Poster Award at ICST 2021 Dr. Wang is currently building his research group at Tulane and actively seeks motivated graduate students interested in software engineering for quantum and heterogeneous computing. His industry experience at AWS and strong publication record in top venues (ASE, ICSE, FSE, ASPLOS) indicate active research funding and collaborative opportunities. He teaches Quantum Computing (CMPS-4660/6660) and mentors students in cutting-edge research projects. While a dedicated lab name isn't specified, Dr. Wang's research group focuses on developing practical tools for compiler and application testing in heterogeneous environments, with growing emphasis on quantum software stacks.

Neil Julien Rossمشاهده پروفایل

دانشیار

• Quantum Computing
• Quantum Programming Languages
• Quantum Circuit Design
• +۳ مورد دیگر

Neil Julien Ross is an Associate Professor in the Department of Mathematics at Dalhousie University. His research primarily focuses on quantum computing and quantum programming languages, with extensive contributions to quantum circuit design, optimization, and formal verification methods. He maintains an active research profile with numerous publications in top-tier quantum computing conferences and journals. His research interests span: Quantum circuit synthesis and optimization techniques Formal methods for quantum programming languages (e.g., Proto-Quipper) Algebraic structures in quantum computation Quantum gate universality and resource theory Category theory applications in quantum information Ross's recent publications demonstrate a consistent focus on advancing quantum circuit design methodologies, particularly through symbolic synthesis techniques and formal verification approaches. His work frequently bridges theoretical computer science, algebraic structures, and practical quantum implementation challenges.