جست‌وجوی استاد و پژوهشگر

Kazuya Koyamaمشاهده پروفایل

استاد

• Theoretical Cosmology
• Dark Energy
• Modified Gravity
• +۴ مورد دیگر

Professor Kazuya Koyama is a leading scholar in theoretical cosmology at the University of Portsmouth's Institute of Cosmology and Gravitation (ICG), part of the Faculty of Technology. His research focuses on understanding the origin of cosmic structure and the late-time acceleration of the Universe, with a particular emphasis on modified gravity theories as alternatives to dark energy. He has held prestigious awards including the Philippe Leverhulme Prize (2009) and the Young Scientist Award from the Physical Society of Japan (2010). His work is funded by major grants like the ERC Consolidator Grant 'Cosmological Tests of Gravity' and previously the ERC Starting Grant 'Modified Gravity Models as an Alternative to Dark Energy'. Education: PhD in Theoretical Physics from Kyoto University (2002). Key collaborations include the Euclid space mission and joint projects with Kyoto University, recognized by the Daiwa-Adrian Prize (2010). His research integrates advanced numerical simulations (e.g., MGCAMB, COLA methods) and observational analysis for cosmological probes like the Euclid telescope and SDSS surveys. Key themes include testing general relativity on cosmological scales, emulating gravity models, and analyzing large-scale structure data. Research Interests: Structure formation, cosmic acceleration, modified gravity, dark energy, stochastic inflation, and cosmological parameter inference. Current projects emphasize Euclid mission preparations, nonlinear structure simulations, and constraining gravity theories using redshift-space distortions and weak lensing. Grants & Collaborations: ERC Consolidator Grant (2014–present), STFC support, Royal Society International Joint Project with Kyoto University. Active in international initiatives like the Novel Probes Project and Euclid Consortium, focusing on gravity tests and cosmological parameter estimation. Labs/Teams: Leads research groups at ICG on cosmological tests of gravity, large-scale structure analysis, and modified gravity simulations. Collaborates with global teams on Euclid mission data exploitation and N-body simulation development.

Matthew Peltonمشاهده پروفایل

استاد

• Nanophotonics
• Quantum Optics
• Semiconductor Physics
• +۲ مورد دیگر

Matthew Pelton is Professor and Department Chair in Physics at the University of Maryland, Baltimore County's College of Natural and Mathematical Sciences. His research focuses on experimental nanophotonics, investigating light-matter interactions at the nanoscale using optical techniques to study quantum phenomena in materials. Key areas include quantum photonics, nanoscale energy transfer, and semiconductor quantum dot physics. His work examines fundamental processes in quantum-confined systems, aiming to advance technologies in quantum information processing, solar energy conversion, and nanoscale sensing. Research combines materials physics with quantum information science to probe dynamical processes in nanoscale materials through advanced spectroscopy. Recent publications demonstrate a consistent focus on quantum light sources, silicon photonics integration, and nanocavity engineering. Trends include developing telecom-band quantum emitters, optimizing color-center LEDs, and controlling excitonic coupling in bioinspired systems. Work frequently combines experimental spectroscopy with computational modeling of nanoparticle optical properties. As director of the Laboratory for Optical Studies of Nanoscale Physics, he maintains rigorous safety protocols for laser operations, chemical handling, and data management. The lab emphasizes collaborative research principles and provides training opportunities for graduate and undergraduate students in nanophotonics experimentation.

Haydar Aygunمشاهده پروفایل

دانشیار

• Acoustic Materials
• Metamaterials
• Biomedical Acoustics
• +۷ مورد دیگر

Dr. Haydar Aygun serves as Associate Professor in Acoustics and Building Services at the Bioscience and Bioengineering Research Centre, Department of Civil and Building Services Engineering, University of Salford. He holds multiple leadership roles including Course Director for the MSc Environmental and Architectural Acoustics, Diploma in Acoustics and Noise Control, and The Acoustics Apprenticeship programs. With a PhD in Acoustics and Vibration from the University of Hull (2006), his academic foundation includes a MSc in Advanced Materials, Processes and Manufacturing (2002) and a BSc in Mechanical Engineering. Dr. Aygun's research spans multiple critical domains of acoustics: Development and characterization of novel acoustic materials and metamaterials for noise control Duct acoustics and sound propagation through complex media Biomedical applications including bone analysis and respiratory sound detection Vibration control of porous materials using advanced computational methods Environmental noise assessment and building acoustics solutions His publication record shows consistent scholarly output with 46 research items from 2006-2025, demonstrating particular productivity in recent years (7 publications in 2023). His work shows increasing integration of computational methods with experimental validation, expanding applications in medical diagnostics and sustainable building technologies. Dr. Aygun actively contributes to the academic community through multiple service roles: Editorial Board Member for Journal of Applied Acoustics EPSRC Grant Reviewer Reviewer for Journal of Applied Acoustics and Journal of the Acoustical Society of America Deputy leader of Biomedical Acoustics Special Interest Group within UK Acoustics Network As an educator, Dr. Aygun has supervised numerous PhD students and teaches across multiple levels from undergraduate Building Services Engineering to specialized postgraduate Acoustics programs. His consultancy work bridges academic expertise with practical industry applications in noise assessment, building acoustics, and event sound management.

Nika Akopianمشاهده پروفایل

دانشیار

• Quantum Photonics
• Nanowire Quantum Dots
• Quantum Networks
• +۳ مورد دیگر

Nika Akopian is an Associate Professor and Group Leader at the Quantum Networks Group within the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU). His research focuses on quantum nanophotonics, nanowire quantum dots, and multi-qubit photonic devices, with a particular emphasis on hybrid atomic-solid state systems and epsilon-near-zero materials for quantum networks. He leads the MultiQubit project funded by an ERC Consolidator Grant, exploring multi-qubit quantum photonic devices. Education includes a Ph.D. in Physics from the Technion – Israel Institute of Technology (2008), followed by postdoctoral research at Delft and Eindhoven Universities of Technology. Key awards include the ERC Consolidator Grant (2020), Villum Young Investigator Program (2014), and Veni Grant (2008). Research interests span quantum control of nanowire quantum dots, hybrid systems coupling quantum dots to atomic vapors, and epsilon-near-zero materials for integrated quantum networks. Major contributions include demonstrating frequency-locked quantum dot emission to atomic transitions and developing crystal-phase quantum dots in nanowires. Scientific awards highlight his work, including the IUPAP Young Author Award (2006) and Gutwirth Fellowship (2006). His team includes advisees such as A. Srikanth, R. Radhakrishnan, and D. Li. Current projects involve advancing quantum networks and multi-qubit photonic devices.

Alex Kontorovichمشاهده پروفایل

استاد

• Automorphic Forms and Representations
• Homogeneous Dynamics
• Harmonic Analysis
• +۵ مورد دیگر

Alex Kontorovich is a Distinguished Professor of Mathematics at Rutgers University, where he holds the academic rank of Professor. His primary affiliation is with the Department of Mathematics, School of Arts and Sciences. He currently serves as Managing Editor of the Journal of the Association for Mathematical Research and is Executive Director of Rutgers MathCorps . During the 2024-2025 academic year, he is on leave, visiting Princeton University and the Institute for Advanced Study (IAS). Kontorovich's research focuses on automorphic forms, homogeneous dynamics, harmonic analysis, and number theory, with interdisciplinary connections to data science and machine learning. His work bridges pure mathematics with computational aspects, including sphere packing geometry and arithmetic dynamics. He has held distinguished visiting roles, such as the 2020-21 Distinguished Visiting Professor for the Public Dissemination of Mathematics at the National Museum of Mathematics (MoMath), where he contributed to academic content and exhibits. His academic career includes teaching advanced courses like Graduate Complex Analysis, Automorphic Representations, and History of Mathematics. Notable awards include the Simons Foundation Fellowship, von Neumann Fellowship at IAS, and Alfred P. Sloan Research Fellowship. Grants include multiple NSF awards (regular, CAREER, FRG) and a Binational Science Foundation grant. His research explores topics like spectral gaps, thin groups, and applications of modular forms to equidistribution problems. Kontorovich’s scholarly contributions extend beyond academia: he serves on the Scientific Board of Quanta Magazine , advises the Lean Focused Research Organization , and participates in editorial and strategic roles across institutions. His work emphasizes the interplay between theoretical mathematics and computational methods, shaping modern research in number theory and dynamics.

Liane Gaboraمشاهده پروفایل

استاد

• Creativity
• Cultural Evolution
• Cognitive Science
• +۵ مورد دیگر

Liane Gabora is a Full Professor in the Department of Psychology at the University of British Columbia's Okanagan Campus, affiliated with the Irving K. Barber Faculty of Arts and Social Sciences. She holds additional research affiliations with the Australian National University's School of Music, University of Waterloo's Institute for Complexity & Innovation, and Free University of Brussels' Centre Leo Apostel for Interdisciplinary Studies. Her educational background includes a BSc from the University of Western Ontario, PhD from the Free University of Brussels, and postdoctoral positions at UC Berkeley and the Free University of Brussels. Gabora's research program explores creativity, cultural evolution, and cognitive transitions through interdisciplinary approaches. Her work examines: How concepts combine and adapt to new contexts The origins of modern cognition and human creativity Computational models of cultural evolution Quantum formalisms for concept interactions Self-Other Reorganization (SOR) theory of cultural evolution Honing theory of creativity integrating complex systems and memory Her publications demonstrate strong cross-disciplinary integration spanning psychology, physics, anthropology, and computer science. Major research awards include the 2011 Berlyne Award from the American Psychological Association for outstanding research by a junior scholar. She has secured over $1 million in funding from NSERC, SSHRC, and private donors. Gabora supervises graduate students in Psychological Science and Digital Humanities programs and leads research on cognitive transitions underlying cultural evolution. Her laboratory focuses on mathematical and computational modeling of creativity mechanisms, with ongoing projects exploring AI creativity, quantum models of cognition, and the evolution of behavioral modernity through autocatalytic network frameworks.

• New Product Development
• Knowledge Management
• Collaborative Work Environments
• +۵ مورد دیگر

Angelo Corallo is an Associate Professor at the Department of Experimental Medicine, University of Salento, specializing in technologies and methodologies for collaborative processes in industrial systems. His research spans Digital Business Ecosystems , Cybersecurity , and Collaborative Product Design , focusing on the interplay between technology and organizational dynamics. He leads interdisciplinary research divisions in Open Networked Business Management , Learning and Innovation , and Collaborative Product Design . Research Interests : Corallo's work integrates Information and Communication Technologies (ICT) with Business Management, particularly in Digital Twins for healthcare and manufacturing Knowledge Modeling and Ontology Engineering Industry 4.0 and Smart Manufacturing Agri-Food Sustainability through digitalization Scientific Contributions : His recent articles explore trends in Cybersecurity for Industrial IoT Metaverse Applications in business models Traceability Systems in food supply chains Collagen-Based Biomaterials from aquaponics

• Statistics
• Machine Learning
• Bioinformatics
• +۴ مورد دیگر

Ping Ma is a Professor of Statistics with a courtesy appointment in Computer Science at the University of Georgia. His research focuses on developing innovative statistical and machine learning methodologies for complex high-dimensional data, with applications spanning bioinformatics, computational biology, social network analysis, and anomaly detection in power systems. Research interests include: Statistical Methodology : Nonparametric modeling, optimal transport theory, subsampling techniques, and functional regression for large-scale data Computational Biology : Spatial transcriptomics analysis, single-cell data integration, virology classification, and gene regulatory networks Machine Learning Innovations : Knowledge distillation for LLMs, tensor analysis, quantum-inspired algorithms, and ensemble learning for model robustness His recent publications demonstrate a strong trend toward interdisciplinary applications, particularly in developing AI/statistical tools for biomedical research (47% of recent papers), advancing foundational machine learning techniques (33%), and solving engineering challenges like power grid security (20%). Methodologically, 67% focus on novel algorithm development while 33% refine existing techniques for scalability.

Michael Ortizمشاهده پروفایل

استاد

• Cardiac Mechanics
• Computational Mechanics
• Biomedical Engineering
• +۳ مورد دیگر

Michael Ortiz is the Dotty and Dick Hayman Professor of Aeronautics and Mechanical Engineering at the California Institute of Technology (Caltech). He holds the Hans Fischer Senior Fellowship at the Technical University of Munich's Institute for Advanced Study (TUM-IAS) since 2010. His research focuses on developing the Advanced Cardiac Mechanics Emulator (ACME) to model human heart function in healthy and diseased states. He has a BS from the Polytechnic University of Madrid, and MS/PhD from UC Berkeley. Previously, he was at Brown University (1984–1995). Professor Ortiz leads Caltech’s DoE/PSAAP Center on High-Energy Density Dynamics of Materials. His honors include the IUTAM Rodney Hill Prize (2008), election to the American Academy of Arts & Sciences (2007), and Humboldt Research Award (2002). He has advised national labs like Lawrence Livermore and Sandia on predictive science and engineering review panels. His work spans computational mechanics, materials science, and multiscale modeling. Recent research emphasizes cardiac biomechanics, fracture mechanics, and quantum materials simulations. Over 100 highly cited papers showcase contributions to meshfree methods, variational fracture, and orbital-free DFT.

• Mathematical Physics
• Partial Differential Equations
• Probability
• +۳ مورد دیگر

Felipe Hernández is an Assistant Professor in the Department of Mathematics at Pennsylvania State University. He is affiliated with the Department of Mathematics, located in McAllister Building, and can be contacted at felipeh@psu.edu. His research interests span Mathematical Physics, Partial Differential Equations, and Probability, with a focus on quantum systems, stochastic processes, and theoretical analysis of complex systems. His work explores topics such as quantum diffusion in disordered systems, decoherence dynamics, and the interplay between classical and quantum mechanics. He also investigates computational methods like neural networks to enhance accuracy in quantum chemistry calculations and explores foundational questions in quantum computing, such as BosonSampling complexity. Recent contributions include studies on Hodge systems, divergence-free vector fields, and endpoint estimates in functional analysis. While no specific awards or grants are listed, his research demonstrates a commitment to advancing mathematical physics and computational methods through rigorous theoretical analysis and interdisciplinary approaches.

Stefano Nicheleمشاهده پروفایل

استاد

• Artificial Life
• Neuro-Inspired Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Stefano Nichele is a Professor at the Department of Computer Science and Communication, Østfold University College, Norway. He holds additional roles as Professor II at OsloMet and has served in leading academic positions since 2014. His research focuses on Artificial Life (ALife), Neuro-Inspired AI, and Machine Learning, with a particular emphasis on cellular automata, reservoir computing, and neuro-inspired substrates. Nichele co-directs the Østfold AI (ØAI) hub and is an active member of IEEE, ELLIS, and the Norwegian AI Research Consortium (NORA). He earned his PhD in Computer Science from NTNU (2015) and completed his MSc at the University of Insubria, Italy. His work bridges computational systems and biological substrates, exploring criticality in neural networks and quantum-evolutionary algorithm interactions. He has received prestigious awards, including the Young Research Talent grant (2019) and the Distinguished Early-Career Investigator award (2024). Nichele’s research spans theoretical and applied domains, with over 50 publications on cellular automata dynamics, neuro-inspired robotics, and AI ethics. His recent projects include studying in vitro neural networks for computational capacity assessment and developing frameworks for body-brain co-evolution in soft robotics. Education: PhD in Computer Science, NTNU (2015) MSc in Computer Science, University of Insubria (2009) Awards: Young Research Talent grant (2019) Distinguished Early-Career Investigator (2024) Grants & Roles: Co-director of the Østfold AI hub Board member of NORA (Norwegian AI Research Consortium) Labs & Collaborations: Focus on neuro-inspired AI systems and unconventional computing Partnerships with institutions like Simula Metropolitan and the International Society for Artificial Life (ISAL)

• Mathematical Physics
• Quantum Theory
• Noncommutative Geometry
• +۳ مورد دیگر

James Gaunt is an Assistant Professor in the School of Mathematical & Computer Sciences, specializing in the Mathematics department at Heriot-Watt University. His research focuses on advanced mathematical physics, noncommutative geometry, and quantum theory, with notable contributions to fuzzy spectral triples and gauge invariance. His work bridges abstract algebraic structures with geometric and physical applications. Research interests include mathematical frameworks for quantum gravity, spectral triples in noncommutative spaces, and deformation theory applied to Hopf fibrations. Recent publications explore topics such as finite spectral triples for fuzzy tori and BV quantization in dynamical systems. No scientific awards or grants are explicitly mentioned. He has not listed any advisees or students. Collaborations include researchers such as John W. Barrett and Alexander Schenkel, reflecting interdisciplinary work in geometry and theoretical physics. His academic profile emphasizes peer-reviewed contributions to journals like Journal of Geometry and Physics and Symmetry, Integrability and Geometry , highlighting rigorous mathematical approaches to complex physical systems.

Amir Hamed Majediمشاهده پروفایل

استاد

• Quantum photonics
• Superconducting optoelectronics
• Microwave-photonics
• +۵ مورد دیگر

Amir Hamed Majedi is a Professor at the University of Waterloo , cross-appointed to the Departments of Physics and Astronomy and Applied Mathematics . He leads the Integrated Quantum Optoelectronics Lab (IQOL) under the Waterloo Institute for Nanotechnology. Research Interests : Quantum photonics Superconducting optoelectronics Graphene photonics THz photonic devices Nano-electrophotonics Quantum information technology Article Trends : His publications focus on quantum electrodynamics in superconducting and graphene structures, covering single-photon detectors, nonlinear optical effects, THz amplification, and microwave-photonics integration. Keywords include Quantum Physics , Nanotechnology , Photonics , and Superconductivity . Teaching : Courses taught in recent years include ECE 106 - Electricity and Magnetism , ECE 375 - Electromagnetic Fields and Waves , and advanced topics in Quantum Electronics and Photonics (ECE 677, QIC 885). Education : Doctorate in Electrical and Computer Engineering (2001, University of Waterloo) Master's in Electromagnetic Waves and Photonic (1996, Amirkabir University of Technology) Bachelor's in Telecommunications (1994, Khaje-Nasir Toosi University of Technology)

• Theoretical Physics
• Quantum Foundations
• Density Functional Theory
• +۵ مورد دیگر

Russell Thompson is an Associate Professor at the University of Waterloo, affiliated with the Waterloo Institute for Nanotechnology. His research focuses on theoretical physics, with expertise in self-consistent field theory, density functional theory, quantum foundations, and atomic physics. He holds a Doctorate in Theoretical Physics and Applied Mathematics from the University of Western Ontario (1998), complemented by a BSc (Honours Physics) from the University of Ottawa (1994) and an MSc in Physics from the University of Regina (1994). Thompson teaches advanced courses such as NANO 600 (Introduction to Nanotechnology), NE 216/217 (Advanced Calculus and Numerical Methods), and PHYS 234 (Quantum Physics 1). His recent publications (2020–2025) explore quantum foundations, polymer physics, and materials science, with a focus on integrating theoretical frameworks like DFT and SCFT into nanotechnology applications. His articles highlight advancements in quantum entanglement visualization, polymer foaming models, and atomic shell structure predictions. He has no listed scientific awards or grants in the provided data but remains active in interdisciplinary research at the intersection of quantum theory and polymer science.

• Machine Learning
• Computer Vision
• Human Behavior Analysis
• +۵ مورد دیگر

Dr. Harshala Gammulle is a Research Fellow at Queensland University of Technology (QUT), School of Electrical Engineering & Robotics. She holds a PhD in Computer Vision from QUT (2019), receiving the QUT Executive Dean's Commendation for Outstanding Doctoral Thesis. Her expertise spans machine learning, computer vision, and spatio-temporal modeling for human behavior understanding. She leads interdisciplinary projects with funding from DST Group, SmartSat CRC, QLD DESI, and others. Research focuses include: human action recognition, medical anomaly detection, satellite image analysis, and AI for environmental monitoring. Key projects involve quantum-classical hybrid ML for biomedical signal analysis, disaster forecasting via hyperspectral data, and autonomous combat vision systems. She has supervised PhD/MPhil candidates in ML and quantum hybrid ML. Education: PhD (Computer Vision, QUT 2019), BSc (University of Peradeniya, Sri Lanka). Awards: WiT Emerging Achiever Technology Award finalist (2021), University Award for Academic Excellence (2015). Teaching includes units like Digital Signals and Image Processing (EGH444), and Computing & Data for Engineers (EGB103). Current grants involve QLD DESI, SmartSat CRC, and Rheinmetall Defence Australia collaborations. Active in labs like SAIVT and QUT's Early Career Research schemes.