جست‌وجوی استاد و پژوهشگر

Usman Khanمشاهده پروفایل

استاد

• Optimization and Control
• Machine Learning
• Signal Processing
• +۷ مورد دیگر

Usman Khan is a Professor of Electrical and Computer Engineering and Computer Science at Tufts University's School of Engineering. He directs the Signal Processing and RoboTic Networks (SPARTN) laboratory and holds editorial roles in IEEE Transactions on Signal Processing and related journals. His research focuses on optimization, machine learning, signal processing, and decentralized algorithms, with applications in autonomous systems, IoT, and smart cities. He received the NSF CAREER Award (2014) and is a Senior Member of IEEE. Education: Ph.D., Carnegie Mellon University (2009) M.S., University of Wisconsin–Madison (2004) B.S., University of Engineering and Technology Lahore (2002) Research Interests: Usman Khan's work spans data and network science, systems control, and optimization algorithms for autonomous systems, driverless vehicles, and smart infrastructure. Key areas include distributed optimization, electrocatalytic materials, and networked estimation techniques. Recent Contributions: His recent publications address distributed optimization under delays, electrocatalytic material synthesis, and robust consensus algorithms for multi-agent systems. Notable awards include the EURASIP Best Journal Paper (2022). Grants & Leadership: He has led NSF-funded projects on distributed monitoring systems and smart infrastructure. His professional activities include roles in conference organizing and journal reviewing across IEEE domains. Labs & Teams: The SPARTN lab at Tufts focuses on advancing networked signal processing and robotic systems for real-world applications.

Emre Onur Kahyaمشاهده پروفایل

استاد

• Cosmology
• Quantum Gravity
• Inflationary Theories
• +۵ مورد دیگر

Emre Onur Kahya is a Professor at the Department of Physics Engineering, Istanbul Technical University. His primary research focuses on theoretical cosmology, quantum gravity, and inflationary physics. He has been the Principal Investigator (PI) on multiple projects funded by TÜBİTAK and BAP, including studies on adiabatic modes, conformally coupled scalars during inflation, and optimization methods in artificial learning. His work addresses fundamental questions in cosmology such as observational tensions in cosmic models, quantum effects on scalar fields, and gravitational wave physics. He has received notable awards including the Young Scientist Award (2016), Mustafa Parlar Research Encouragement Award (2017), and the GEBİP Outstanding Young Scientist Award (2015). His publications span topics like Horndeski gravity, Carrollian fermion quantization, and constraints on gravitational wave delays using IceCube data. Kahya’s research also involves collaborations on testing modified gravity models, dark energy survey results, and pulsar timing experiments. Key projects include studies on adiabatic solutions on limited manifolds, constraint equations in quantum gravity, and inflationary attractors. His work bridges theoretical frameworks with observational data, contributing to advancements in cosmological models and quantum field theory in curved spacetime.

• Computer Architecture
• Computer Systems
• Compilers
• +۸ مورد دیگر

José Cano Reyes is a Senior Lecturer (Associate Professor) at the University of Glasgow's School of Computing Science, leading the Glasgow Intelligent Computing Lab (gicLAB) and serving as deputy Head of the GLAsgow Systems Section (GLASS). His academic career includes postdoctoral roles at the University of Edinburgh (2014-2018) and Universitat Politècnica de Catalunya (2012-2013), with a PhD and engineering degree from Universitat Politècnica de Valencia (2004-2012). He has held visiting and guest lecturer positions at Edinburgh and Glasgow across computer architecture, compilers, and embedded systems topics. Research focuses on hardware-software co-design for edge AI, including DNN acceleration (FPGA/GPU), encrypted AI systems, and secure mission-critical SoCs. Key projects include EU's dAIEDGE, EPSRC IDEAL, and UKRI AppControl. He leads over 15 research staff and students in areas like quantization, sparsity exploitation, and robust AI deployment. Notable contributions span 100+ peer-reviewed publications across top venues (ISCA, IJCNN, IEEE TPDS) and 3 authored books on ad hoc networks and embedded systems. Academic service includes organizing 20+ conferences (ISPASS, Euro-Par, ASPLOS) and serving on editorial boards for ACM TACO and IEEE TPDS. His educational efforts include teaching Computer Architecture (Year 4), Computer Systems (Year 1), and supervising over 20 PhD/MSc students since 2017.

Peter Schuppمشاهده پروفایل

استاد

• Mathematical Physics
• Theoretical Physics
• Classical and Quantum Gravity
• +۷ مورد دیگر

Peter Schupp is a full Professor of Physics in the School of Science at Constructor University in Bremen, Germany, a position he has held since 2002. He previously served as visiting fellow and lecturer at Princeton University (1997-1999) and as assistant professor at the University of Munich (1994-1997, 1999-2002). His office is located in Research III, Room 65 on the Constructor campus. Education: PhD (Physics), University of California at Berkeley, 1990–1993 MSc (Physics), California Institute of Technology, 1989–1990 Vordiplom (Physics), University of Heidelberg, 1986–1989 Habilitation, University of Munich, 2001 Research Interests span a broad range of topics in mathematical and theoretical physics, including: Classical and quantum gravity Quantum field theory and string theory Generalized, graded and non-commutative geometry Coherent states, entropy and quantum information Non-geometric fluxes and nonassociative structures Cosmological data analysis (CMB anisotropy & non-Gaussianity) His publications reveal a steady focus on non-commutative and nonassociative extensions of geometry and gravity, as well as their implications for quantum field theory and cosmology. Recent work couples sophisticated algebraic techniques (graded Poisson algebras, Hopf algebras) to concrete physical problems such as CMB entropy measures and axion-gravity interactions. Scientific Awards & Fellowships : Heisenberg Fellowship, Deutsche Forschungsgemeinschaft (DFG), 2002 Studienstiftung des deutschen Volkes, 1986–1992 Max-Kade-Foundation Fellow, 1997–1998 Theodore S. Brown & Edith N. Brown Fellowship / Ephraim Weiss Scholarship, 1991–1992 Dora Garibaldi Scholarship, 1990–1991 Earl C. Anthony Fellowship, Caltech, 1989–1990 University Fellow, Renker GmbH & Co. KG, 1989–1991 International Physics Olympiad Silver Medal (Portorož 1985, 7th overall) International Physics Olympiad Bronze Medal (London 1986) Contact & Collaboration : Prof. Schupp welcomes inquiries at pschupp@constructor.university or by phone at +49 421 200-3224. While the text does not list specific PhD advisees, his long tenure and extensive publication record indicate active supervision of graduate researchers in theoretical and mathematical physics.

Arvind Bordeمشاهده پروفایل

عضو هیئت علمی

• Relativity & Cosmology
• Topology
• Mathematical Physics
• +۱۰ مورد دیگر

Arvind Borde is a Senior Professor of Mathematics and Physics at Long Island University, Post campus, where he also serves as Graduate Co-Director in the Department of Mathematics. He is affiliated with the College of Liberal Arts and Sciences and has made significant contributions to mathematical physics, particularly in relativity, cosmology, and topology. His work has had international recognition, including citations at Stephen Hawking's 60th birthday symposium and features in Nature . B.S., Bombay University M.A., Ph.D., Stony Brook University His research focuses on foundational questions in theoretical physics: whether the universe had a beginning, its global shape, and the nature of energy in spacetime. He is best known for the BGV theorem (with Guth and Vilenkin), which proves that inflationary models cannot be past-complete, suggesting a cosmic beginning. His work uses abstract mathematical methods pioneered by Penrose, Hawking, and Geroch to derive general results about spacetime structure. In addition to physics, Borde has deep expertise in computer science, especially in the TeX typesetting system, having authored multiple books and software tools. More recently, he has explored design and food history, co-authoring a biography of ceramic artist Eva Zeisel. The 15 most recent publications reflect a sustained engagement with cosmology, general relativity, and mathematical physics, with key themes including initial singularities, energy conditions, topology change, and baby universes. Later works also highlight his contributions to computing and digital document design, showing a unique interdisciplinary trajectory. Notable scientific awards include: Trustees Award for Scholarly Achievement (1995/96, single work) Trustees Award for Scholarly Achievement (2005, lifetime achievement) KITP Scholar, Kavli Institute for Theoretical Physics, UC Santa Barbara (2007–2009) He has advised graduate students in physics and mathematics and secured grants supporting advanced computing infrastructure, including founding the Southampton College Technology Center. He has held visiting positions at MIT, Tufts University, Brookhaven National Lab, and UC Santa Barbara. His outreach includes establishing a computer museum at LIU Post and contributing to public discourse through media features in The New York Times , Newsday , and the Boston Globe . Borde leads interdisciplinary research initiatives combining physics, computing, and design. He founded the advanced computing facility at Southampton College and maintains an active research group exploring quantum gravity, cosmology, and digital publishing technologies.

• Condensed Matter Physics
• Many-Body Quantum Mechanics
• Mathematical Physics
• +۳ مورد دیگر

Marcello Porta is a Full Professor in the Mathematics Area at Scuola Internazionale Superiore di Studi Avanzati (SISSA) since 2021, having previously served as an Associate Professor at SISSA (2020-2021), W3 Professor at the University of Tübingen (2017-2020), and Assistant Professor at the University of Zürich (2016-2017). Education : Ph.D. in Physics, University of Rome Sapienza (February 2011) Master Degree in Physics, University of Rome Sapienza (September 2007) His research focuses on the rigorous mathematical analysis of condensed matter physics and many-body quantum systems, particularly the emergence of universal behavior and collective phenomena. Key areas include quantum Hall effect, topological materials, and mean-field evolution of fermionic systems. The 15 most recent articles highlight his work on quantum transport, correlation energy in Fermi gases, renormalization in disordered systems, and effective models for bosonization. Disciplines span condensed matter physics, quantum field theory, and mathematical physics, with subfields like topological insulators, many-body interactions, and nonlinear response theory. Scientific Awards and Grants : ERC Starting Grant (2019-2024) for project MaMBoQ Swiss National Science Foundation grant (2016-2019) Advising and Collaborative Efforts : As PhD Coordinator for Geometry and Mathematical Physics at SISSA, he contributes to academic leadership. He is an Associate Editor for the Journal of Mathematical Physics (2019-) and a member of the executive committee of the International Association of Mathematical Physics (IAMP) (2021-).

• Theoretical Physics
• Quantum Field Theory
• String Theory
• +۵ مورد دیگر

Davide Gaiotto serves as an Adjunct Assistant Professor in the Department of Physics & Astronomy within the Faculty of Science at McMaster University. His extensive scholarly activity spans over two decades with numerous publications in high-impact theoretical physics journals. His research focuses on the deep connections between quantum field theory, string theory, and advanced mathematical structures. Key areas include supersymmetric gauge theories (particularly N=2 and N=4), geometric Langlands program, holography, vertex operator algebras, and topological aspects of quantum field theories. His work often reveals profound mathematical structures underlying physical phenomena, bridging theoretical physics with pure mathematics. Analysis of his recent publications (2023-2025) shows continued exploration of quantum analytic Langlands correspondence, twisted holography, and the interplay between gauge theories and mathematical structures. His work demonstrates remarkable consistency in addressing fundamental questions at the physics-mathematics interface while maintaining technical rigor. Gaiotto has received significant scholarly attention with publications referenced across multiple platforms including Wikipedia pages, academic social networks, and research databases. His work shows strong interdisciplinary impact across theoretical physics and mathematics. His scholarly network includes collaborations across the theoretical physics community, with publications showing connections to leading researchers in mathematical physics and string theory. While specific grant information isn't provided in the text, the volume and quality of publications suggest sustained research support.

Enrico Tronciمشاهده پروفایل

استاد

• Model Checking
• Cyber-Physical Systems
• Software Engineering
• +۷ مورد دیگر

Enrico Tronci is a Full Professor in the Department of Computer Science at Università degli Studi di Roma La Sapienza , Italy. His research focuses on model checking, formal verification, and synthesis of cyber-physical systems, with applications to mission-critical and safety-critical domains such as space systems, smart grids, and healthcare. He leads the Model Checking Lab (MCLab) and has coordinated numerous national and international research projects funded by organizations including the European Community (EC), European Space Agency (ESA), and Italian Ministry of University and Research (MUR). Research Highlights : Automatic control software synthesis from closed-loop specifications Model checking algorithms for hybrid and stochastic systems Technology transfer in sectors like energy, transportation, and aerospace Teaching : Undergraduate: Software Engineering (Fall 2024) Graduate: Automatic Verification of Intelligent Systems (Fall 2024), Verification and Validation of Intelligent Systems (Spring 2025) Scientific Awards : Recipient of the IBM-Italia 1987 prize for best thesis in Artificial Intelligence Publications Trends : 2024: Scaling up model checking for cyber-physical systems via HPC 2023: Hormonal impact on behavior and fault-tolerant sensor deployments 2021-2022: In silico clinical trials, smart grid management, and scenario enumeration 2020: AI-guided diabetes patient modeling and forensic psychiatry applications Software Tools : QKS (Quantized Kontrol Synthesizer) NashMV (MAD systems verification) CMurphi (Hybrid systems model checker) FHP-Murphi (Probabilistic verification) BSP (Boolean symbolic programming)

Ganggang Xuمشاهده پروفایل

دانشیار

• Nonparametric and Semiparametric Statistics
• Functional Data Analysis
• Spatial Statistics
• +۳ مورد دیگر

Ganggang Xu is an Associate Professor (with tenure) in the Department of Management Science at the Miami Herbert Business School , University of Miami . He specializes in advanced statistical methodologies, particularly in nonparametric and semiparametric modeling, spatial statistics, and point process theory. Education: Ph.D. in Statistics, Texas A&M University (2011) B.S. in Statistics, Zhejiang University (2006) Research Interests: His research spans several key areas in modern statistics and data science. He has made significant contributions to nonparametric and semiparametric regression , particularly in the context of functional data analysis and spatial-temporal modeling . His work on point processes includes marked, multivariate, and clustered point processes, with applications ranging from neuroscience to social media behavior. He also explores Bayesian hierarchical models and model selection techniques, often integrating computational efficiency with theoretical rigor. Publications Overview: His recent publications (2023–2025) reflect a strong focus on machine learning-enhanced statistical modeling , including tree-based estimation of intensity functions, network autoregressive models, and quantized inference. He has also contributed to applied domains such as medical imaging and inventory control , demonstrating the broad applicability of his methodological work. Grants & Collaborations: While specific grants are not listed in the provided text, his extensive publication record with multiple co-authors across institutions suggests active collaboration and possible funding from NSF or NIH-equivalent bodies in statistics and data science. Labs & Teams: Though no specific lab is mentioned, his affiliations and co-authorships imply involvement in interdisciplinary research teams at the University of Miami, especially within the business analytics and statistical modeling domains.

• Integrable Systems
• Differential Geometry
• Quantization of Hamiltonian Systems
• +۳ مورد دیگر

Giulio Landolfi is an Associate Professor at the Department of Mathematics and Physics "Ennio De Giorgi" within the University of Salento. His research focuses on integrable systems, differential geometry, and the quantization of Hamiltonian systems, with significant contributions to field theory in curved spacetime. Teaching: He teaches "Physics of Complex Systems" (Master's Degree in Physics) since academic year 2020/2021, covering nonlinear dynamics, solitons, and inverse scattering methods. Research: His work spans integrable surfaces, quantum effects in cosmology, and symmetry analysis of nonlinear field equations, often employing advanced mathematical techniques. Publications: Landolfi's research includes studies on the Canham-Helfrich model, spectral problems in quantum mechanics, and generalized van der Waals systems, reflecting interdisciplinary applications of integrable systems and differential geometry. Contact: Office in the Fiorini Building, Room M45, Lecce. Email: giulio.landolfi@unisalento.it .

Pedro J. Sáenzمشاهده پروفایل

دانشیار

• Physical applied mathematics
• Soft matter
• Active matter
• +۳ مورد دیگر

Pedro J. Sáenz is an Associate Professor in the Department of Mathematics at the University of North Carolina at Chapel Hill (UNC-Chapel Hill). He directs the Physical Mathematics Laboratory (PML), which explores physical applied mathematics and fluid mechanics through interdisciplinary collaboration between theoretical and experimental approaches. M.Sc & B.Sc, University of La Rioja, 2008 Ph.D., University of Edinburgh, 2014 Postdoctoral Fellow, Imperial College London, 2015 Instructor in Applied Mathematics, Massachusetts Institute of Technology (MIT), 2015–2019 Assistant Professor, UNC-Chapel Hill, 2019–present His research bridges physics, applied mathematics, and engineering, focusing on hydrodynamic quantum analogs, soft/active matter, and nonequilibrium physics. Key themes include wave-particle interactions, symmetry breaking, and self-propulsion mechanisms in classical systems. Recent publications highlight universal scaling laws in fluid dynamics, quantum-classical analogs in pilot-wave systems, and symmetry-driven phenomena in Faraday waves and droplet localization. These works integrate mathematical theory with experimental validation. 2025 Kavli Fellowship NSF CAREER award (2021) Alfred P. Sloan Fellowship (2023) Van Dyke Gallery of Fluid Motion Award (2022) APS Gallery of Fluid Motion Award (2024) Pedro's lab (PML) trains students and researchers in theoretical modeling, numerical simulations, and experimental design. His work has secured major grants, including the NSF CAREER award, and has been featured in Nature , Science Advances , and Physical Review X .

• Symmetry theory in physics
• Algebraic models of physical systems
• Nuclear physics
• +۳ مورد دیگر

Professor Andrzej Góźdź is a distinguished theoretical physicist at the Department of Theoretical Physics, Institute of Physics, Faculty of Mathematics, Physics and Computer Science at Maria Curie-Skłodowska University (UMCS) in Lublin, Poland. He holds a professorship and conducts research primarily in symmetry theory in physics, algebraic models of physical systems, nuclear theory, and quantum gravity. His academic contributions span several decades with numerous publications in prestigious physics journals. Professor Góźdź's research focuses on fundamental aspects of theoretical physics, particularly symmetry theory in nuclear and quantum systems. He investigates algebraic models of physical systems, the theory of the atomic nucleus, quantum gravity, and the foundations of quantum mechanics with special emphasis on quantum time. His work often bridges mathematical physics with practical applications in nuclear structure and quantum phenomena. The professor frequently collaborates with international research groups, as evidenced by his extensive publication record with colleagues from various countries. Analysis of Professor Góźdź's recent publications (2017-2019) reveals a consistent research trajectory focused on symmetry applications in nuclear physics, quantum mechanical foundations, and computational methods. His work demonstrates a strong emphasis on group theory applications to nuclear structure, particularly exploring high-rank symmetries in nuclei. Several publications address quantum time and delayed choice phenomena, reflecting his interest in foundational quantum mechanics questions. The professor also contributes significantly to computational physics, developing symbolic-numerical algorithms for solving complex boundary-value problems in nuclear and atomic physics. h-index (Web of Science): 14 h-index (Google Scholar): 4 h-index (Scopus): 3 Total publications: 124 As an academic supervisor, Professor Góźdź maintains regular consultation hours (Mondays 10:00-12:00 and Tuesdays 8:00-9:00; 12:00-13:00) and likely mentors graduate students in theoretical physics. His research activities involve participation in national and international grants focused on theoretical nuclear physics and quantum mechanics. Professor Góźdź is part of specialized research teams at UMCS exploring symmetry applications in nuclear structure. His collaborations with researchers like A. Pędrak, A. Dobrowolski, and international colleagues (particularly from Russia and France) indicate involvement in interdisciplinary teams combining theoretical physics with computational approaches.

Rickard Karlssonمشاهده پروفایل

مدرس

• Swedish as a second language
• Learner language assessment
• Language development in adults
• +۴ مورد دیگر

Dr. Rickard Karlsson works as a Lecturer at Linköping University's Department for Swedish as a Second Language, Rhetoric and Language Support (SAROS) under the Department of Culture and Society (IKOS). His teaching focuses on Swedish language didactics, grammar, and assessment of learner languages, with supervision across academic levels. PhD in Languages and Cultures of Europe Upper Secondary School Teacher in Swedish as a Second Language Research spans empirical analysis of adult language acquisition , historical linguistics , and multilingualism ideologies . Google Scholar publications reveal interdisciplinary contributions to particle filter algorithms and automotive sensor systems from 2001-2025. Notable collaborations include Fredrik Gustafsson and Per-Johan Nordlund. Recent publications (2025-2016) merge automotive engineering and historical Linguistics, covering tire diagnostics, cultural exchange patterns, and vibration-based navigation. This dual expertise reflects his transition from technical research to language education, maintaining academic connections across disciplines.

Fabrizio Silvestriمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Web Search
• +۷ مورد دیگر

Fabrizio Silvestri is a Full Professor at Sapienza University of Rome's Department of Computer, Automatic and Management Engineering (DIAG), where he coordinates the Ph.D. program in Data Science. He leads the RSTLess research group focusing on Robust, Safe, and Transparent Deep Learning. Research interests: Artificial Intelligence, Machine Learning, Web Search, Natural Language Processing, Information Retrieval, Graph Neural Networks Research Trends from recent publications reveal: Advancements in sequential recommendation systems using topological and sheaf-based neural networks Focus on sustainable AI through eco-aware graph neural networks Counterfactual explanations for graph models and machine unlearning Security applications in dense retrieval and data poisoning defense Time series analysis for 5G network monitoring Integration of attention mechanisms and positional encoding in Transformers Scientific Achievements : ECIR 2018 Test of Time Award 3 Best Paper Awards (ECIR 2007, IEEE WI 2004, WSDM 2011 Runner-Up) Yahoo! Patent Milestone Award Recipient of Yahoo! Labs Excellence Program (LEAP) and Faculty Research Engagement Program (FREP) Finalist for ERCIM Cor Baayen Award (2005) Academic Leadership : Holds 9 industrial patents from Yahoo! and Facebook AI. Directed Facebook AI research groups combating malicious content. Ph.D. in Computer Science from University of Pisa with thesis on High-Performance Issues in Web Search Engines . Supervises thesis projects through the RSTLess group website .

• Nanostructural physics
• Fundamental plasma
• Plasma engineering
• +۳ مورد دیگر

Yasushi Matsunaga is a Professor at Waseda University's Research Innovation Center, specializing in plasma physics and nanotechnology. With a PhD from Waseda University, he has held various research positions at Waseda since 1998, including roles at the Center for Research Strategy and Institute for Nanoscience and Nanotechnology. His career spans academic research, committee memberships with MEXT (Ministry of Education, Culture, Sports, Science and Technology), and leadership in research administration. Dr. Matsunaga's educational background includes: PhD in Pure and Applied Physics from Waseda University (1997) Master's degree in Pure and Applied Physics from Waseda University Bachelor's degree in Applied Physics from Waseda University His research focuses on nanostructural physics and fundamental plasma phenomena, with particular expertise in carbon nanotube properties, plasma display technology, and nonlinear dynamics in gas discharge plasmas. Matsunaga has made significant contributions to understanding Landau quantization in carbon nanotubes, selective production of metallic nanotubes, and ion acoustic wave phenomena. His interdisciplinary approach bridges theoretical physics with practical applications in nanotechnology and display engineering. Analysis of Matsunaga's publications reveals two major research thrusts: (1) theoretical and computational studies of plasma phenomena, particularly ion acoustic waves and nonlinear oscillations in discharge plasmas; and (2) applied research on carbon nanotubes, including their electrical properties and selective production methods. His work demonstrates strong integration of theoretical modeling with practical applications, particularly in display technology and nanomaterials engineering. Dr. Matsunaga has received notable recognition: Japan Society for the Promotion of Science Grant-in-Aid for Scientific Research First-Stage Review 'Model Reviewer who provided exemplary review comments' Award (October 2010) As a research administrator, Matsunaga has served on numerous MEXT committees related to university-industry collaboration, research evaluation, and research administration since 2008. His leadership extends to developing research administrator (URA) training programs and contributing to research strategy at Waseda University. He has secured research funding through JSPS Grants-in-Aid for Scientific Research projects on carbon nanotube current limits and RF sheath theory in process plasmas. Matsunaga is affiliated with Waseda University's Faculty of Science and Engineering and Graduate School of Advanced Science and Engineering. His work connects with the university's Research Strategy Center and has involved collaborations through symposia on 'Physics of Self-Organization Systems.' His contributions span theoretical research, practical applications in display technology, and leadership in research administration.