جست‌وجوی استاد و پژوهشگر

• Superconductivity
• Quantum Engineering
• Condensed Matter Physics
• +۳ مورد دیگر

Pepe Giovanni Piero is a Full Professor at the CNR Institute for Superconductors, Innovative Materials and Devices. His research focuses on advanced superconducting materials, quantum technologies, and photon detection systems. Key areas include Josephson junction dynamics, quantum computing components, and vacuum energy experiments. He leads projects on superconducting single-photon detectors for quantum communication and lidar applications, as well as foundational studies in quantum gravity through the Archimedes experiment. Research interests span superconductivity, quantum engineering, and applied photonics. His work bridges theoretical models with experimental advancements in superconducting circuits and materials. Recent efforts emphasize tunable qubit systems, flux parametric amplifiers, and precision measurements of vacuum energy effects. Publications highlight contributions to superconducting device characterization, quantum error mitigation, and collaborative projects like the Archimedes experiment aiming to detect gravitational vacuum energy. He actively contributes to open-source simulation tools for superconducting circuits and explores applications in quantum key distribution and environmental lidar systems.

Faisal Qureshiمشاهده پروفایل

استاد

• Computer Vision
• Deep Learning
• Camera Networks
• +۵ مورد دیگر

Dr. Faisal Qureshi is a Professor of Computer Science in the Faculty of Science at Ontario Tech University, where he leads the Visual Computing Lab. He holds a concurrent role as Guest Professor at Mid Sweden University. His research focuses on visual sensor networks, computer vision, and deep learning, with applications in smart camera networks, video surveillance, and hyperspectral imaging. He earned his PhD in Computer Science from the University of Toronto (2007), following degrees from Punjab University (BSc 1993) and Quaid-e-Azam University (MSc Electronics 1995). Key research areas include multicamera tracking, graphics for vision, and neural networks for computer vision. He has pioneered work on self-organizing visual sensor networks and developed computational models for autonomous visual perception. His teaching includes courses on computer graphics, algorithms, and advanced computer vision. He has authored over 100 peer-reviewed publications, including a Best Paper Award at CRV 2017 for optical flow estimation research. Dr. Qureshi’s lab develops innovative solutions for video summarization, optical flow estimation, and activity analysis. His work bridges theoretical computer science with real-world applications in robotics, aerospace, and environmental monitoring. Recent projects explore adversarial machine learning for satellite communications security and hyperspectral image compression using neural representations.

Brian A. Wandellمشاهده پروفایل

استاد

• Vision Science
• Neuroscience
• Educational Technology
• +۴ مورد دیگر

Brian A. Wandell is the Isaac and Madeline Stein Family Professor at Stanford University, holding primary appointment in Psychology and courtesy appointments in Electrical Engineering, Ophthalmology, and the Graduate School of Education. He directs the Center for Cognitive and Neurobiological Imaging and served as Deputy Director of the Wu Tsai Neurosciences Institute (2013–2021). His research integrates vision science, neuroimaging, and computational modeling to study brain development, visual disorders, and reading mechanisms. Wandell’s lab develops MRI analysis tools and imaging software frameworks like Flywheel.io, impacting medical imaging and automotive vision systems. Education: B.S. in Math/Psych (University of Michigan, 1973); Ph.D. in Social Sciences (UC Irvine, 1977). Honors include the Proctor Medal (2021), George Miller Prize (2016), and membership in the National Academy of Sciences (2003). Research focuses on visual neuroscience, MRI methodologies, and educational technology. Key projects include modeling retinal encoding, developing open-source tools (ISETBio), and studying cortical circuits for reading. His work bridges basic science and commercial applications via co-founded companies like Flywheel.io. Advisees include doctoral students Austin Kuo, Joshua Ryu, and Itamar Terem, with postdoc mentorship of Xi Mou. Awards span neuroimaging validation, optics modeling, and contributions to vision science. His labs emphasize reproducible research and software innovation, contributing to global neuroimaging standards through platforms like Flywheel.io.

Austen Lamacraftمشاهده پروفایل

استاد

• Condensed Matter Physics
• Quantum Mechanics
• Ultracold Atoms
• +۵ مورد دیگر

Prof Austen Lamacraft is a Professor at the University of Cambridge's Cavendish Laboratory, affiliated with the Theory of Condensed Matter group in the Department of Physics. His research focuses on quantum phase transitions, magnetism in atomic gases, ultracold atoms, and nonequilibrium phenomena in quantum systems. He has contributed to understanding dynamics of impurities in one-dimensional quantum liquids, integrable systems, and the interplay between magnetism and superfluidity. His work bridges theoretical physics with cold atom experiments, exploring topics like quantum hydrodynamics, spin-orbit coupled Bose gases, and quantum noise correlations. He has also developed methods for analyzing many-body quantum systems using reinforcement learning and machine learning techniques. Research interests include: quantum phase transitions, ultracold atomic physics, integrable systems, and non-equilibrium dynamics. His studies often involve exact analytical solutions and numerical methods to model complex quantum phenomena. Key contributions include theoretical predictions of dynamical magnetism in atomic gases, analysis of impurity motion in quantum fluids, and exploration of operator spreading in noisy spin systems. His recent work addresses quantum measurement-induced phase transitions and stochastic processes in dual-unitary circuits. Lamacraft has published extensively on quantum dynamics, entropy production, and interdisciplinary applications of statistical mechanics. He collaborates with experimental groups to guide cold atom experiments and has developed tools for multimodal data integration in physics research.

Duane Lohمشاهده پروفایل

دانشیار

• Nanotechnology
• Biophysics
• Materials Science
• +۳ مورد دیگر

Duane Loh is an Associate Professor at the National University of Singapore (NUS), affiliated with the Centre for BioImaging Sciences. His research focuses on developing computational methods to analyze microscopy data, combining machine learning with physical priors. He earned his PhD from Cornell University in 2010 and has pioneered techniques in X-ray and electron microscopy, particularly in single-particle imaging and nanocrystal dynamics. Education: PhD in Physics, Cornell University (2010) Research interests include structural dynamics of biomolecules, nucleation processes in nanocrystals, and improving imaging techniques through algorithmic innovations. His group, the Computational Lens Group, has developed methods like 'Dragonfly' for X-ray laser data analysis and 'Pop-out Metrology' for high-throughput TEM imaging. Recent work emphasizes machine learning applications in microscopy, such as classifying structural motifs in nanoparticles and studying ice nucleation in supercooled water. His team's advancements in data-driven analysis have enabled insights into biological systems and materials at nanometer scales. Key achievements include the NUS Early Career Research Award and recognition as a Lee Kuan Yew Postdoctoral Fellow. He leads interdisciplinary projects involving collaborators from physics, chemistry, and computational science. Current projects explore correlative imaging techniques for butterfly wing structures and developing AI-driven microscopy tools for real-time analysis. His group's GitHub repository hosts open-source software like 'Dragonfly' for single-particle reconstruction.

Justin Chanمشاهده پروفایل

استادیار

• Digital Health Systems
• Mobile and Wearable Systems
• Wireless Sensing
• +۶ مورد دیگر

Justin Chan is an Assistant Professor at Carnegie Mellon University, affiliated with the School of Computer Science (S3D Department) and the College of Engineering's Electrical and Computer Engineering Department. He leads the Semantic Signals Lab, focusing on creating mobile systems for physiological intelligence and augmented perception. His research spans AI-enabled healthcare systems, real-time mobile intelligence, and acoustic-tactile sensing for robotics and accessibility. Education: Ph.D. (expected 2023) in Computer Science & Engineering from the University of Washington, M.S. (2018) from the same institution, and a B.A. (2015) in Computer Science from Dartmouth College with high honors. Research Interests : His work combines wireless sensing, deep learning, and signal processing to develop technologies like smartphone-based ear infection detection (FDA-listed), newborn hearing screening (TUNE initiative in Kenya), and cardiac arrest detection via smart speakers. These innovations emphasize equitable healthcare access and real-world impact. Awards : SIGMOBILE Doctoral Dissertation Award Runner Up IEEE Pervasive Computing Emerging Rockstar American Academy of Audiology Research Award Grants & Projects : NIH-backed TUNE project, partnerships with NGOs like the Global Foundation for Children with Hearing Loss, and collaborations with startups like Wavely Diagnostics (FDA-listed ear infection tech) and Sound Life Sciences (acquired by Google). Leads development of privacy-preserving protocols for contact tracing (CovidSafe/WA Notify). Labs & Teams : Director of the Semantic Signals Lab, focusing on interdisciplinary projects merging hardware, software, and clinical applications.

• Biophotonics
• Biomedical Optics
• Super-Resolved Microscopy
• +۶ مورد دیگر

Professor Paul French is a leading academic in the Department of Physics at Imperial College London, affiliated with over 20 research groups including the Photonics Group and the Francis Crick Institute. He holds a BSc (Hons) in Physics (1983) and a PhD in Laser Optics (1987) from Imperial College. His research focuses on advancing biomedical optics, particularly in fluorescence imaging technologies for cell biology and clinical diagnostics. He has pioneered open-source microscopy platforms like openFrame and easySTORM to democratize access to advanced imaging tools. Roles: Professor of Physics, former Head of Photonics Group (2001-2013), Vice Dean (Research) for Faculty of Natural Sciences (2015-2023) Affiliations: Artificial Intelligence Network, CRUK Convergence Science Centre, Pancreatic Islet Biology and Diabetes Consortium Research interests span super-resolved microscopy (SRM), fluorescence lifetime imaging (FLIM), and quantitative phase imaging (QPI). His work emphasizes translational applications in cancer, infectious diseases, and drug discovery. Recent innovations include PolSpec hyperspectral imaging and VP-CLEM-Kit for correlative microscopy. Notable awards include the Royal Society University Research Fellowship (1989–1994). His group collaborates globally, with satellite labs at the Francis Crick Institute.

• Biomedical Engineering
• Materials Science
• Regenerative Medicine
• +۴ مورد دیگر

Dame Molly Stevens is a Professor of Biomedical Materials and Regenerative Medicine at the University of Oxford, holding the John Black Professorship and serving as Deputy Director of the Kavli Institute. She retains a part-time strategic Professorship at Imperial College London and collaborates with the Crick Institute. Her research focuses on bioengineering solutions for regenerative medicine and biosensing, spanning drug delivery, biomaterials, and tissue engineering. Her group is highly interdisciplinary, integrating materials science, engineering, and molecular dynamics. Stevens has led major initiatives like the UK Regenerative Medicine Platform and holds leadership roles in global health and scientific organizations. Notable awards include the NovoNordisk Award (2023) and election to the Royal Society and Royal Academy of Engineering. Education: BSc (Hons) Pharmaceutical Sciences, University of Bath PhD in Biophysical Investigations, University of Nottingham Postdoctoral training at MIT with Prof. Robert Langer Research Interests: Her work bridges living and non-living systems, developing bioactive materials for regenerative medicine, biosensors, and therapeutics. Key areas include nanomedicine, enzyme-responsive nanoparticles, and extracellular vesicle engineering. She emphasizes interdisciplinary collaboration, involving data scientists and surgeons to address clinical challenges. Articles Trends: Recent publications highlight innovations in anti-counterfeiting materials, nanozyme-based diagnostics, and bioactive coatings for bone repair. Her work often integrates nanotechnology with biological systems, emphasizing practical applications in healthcare and security. Awards: NovoNordisk Award (2023) Royal Society Fellowship Foreign Member, U.S. National Academy of Engineering (2019) Grants & Advising: Led the UK Regenerative Medicine Platform and directed the EPSRC Early-Warning Sensing Systems initiative. Advises on numerous grants and collaborates with industry partners. Supervises a large group of students and postdocs in regenerative medicine and biosensing. Labs & Networks: Leads the Stevens Group at Oxford’s Kavli Institute, maintaining ties with Imperial’s interdisciplinary networks. Active in the Crick Institute’s research collaborations and the EPSRC-funded Interdisciplinary Research Centre.

Ian Petersenمشاهده پروفایل

استاد

• Control Theory
• Quantum Control Systems
• Systems Theory
• +۵ مورد دیگر

Professor Ian Petersen is a faculty member at the Australian National University (ANU) since 2017, holding the position of Professor in the Research School of Engineering within the ANU College of Systems & Society. He previously held roles at UNSW from 1985–2016, including Scientia Professor and Australian Laureate Fellow. His academic journey includes a PhD (Electrical Engineering) from the University of Rochester (1984), MSc (Electrical Engineering) from the same institution, and a BEng (Electrical) with First Class Honours from the University of Melbourne (1979). Professor Petersen’s research focuses on Systems and Control Theory, with specialties in Robust Control Theory, Quantum Control Systems, Negative Imaginary Systems Theory, and applications in Quantum Optics, Flexible Structures, and Aerospace Systems. His work bridges theoretical advancements and practical engineering solutions, such as control in quantum optics, aircraft control, and fault detection in chemical processes. He has received numerous accolades, including Fellowships from the Australian Academy of Science, IEEE, and the International Federation of Automatic Control. Notable awards include the ISI Highly Cited Researcher distinction and the 2014 Best Paper Award at the World Congress on Intelligent Control and Automation. Petersen is actively involved in editorial roles, including Associate Editor for IEEE Transactions on Control Systems Technology and Automatica . His research has been supported by grants such as the Air Force Office of Scientific Research (USA) and Australian Research Council (ARC) Discovery Grants. Recent projects include Systems Theory Approach to Modelling and Robust Design of Quantum Information Processing Devices (AFOSR, 2016–2018) and an ARC Laureate Fellowship (2011–2016) focusing on quantum systems theory. Petersen’s work emphasizes interdisciplinary collaboration, addressing challenges in quantum technology, control systems, and energy networks.

• Nanotechnology
• Biomedical Engineering
• Drug Delivery Systems
• +۱ مورد دیگر

Professor Ken Tye Yong is Associate Dean (External Engagement) for the Faculty of Engineering and Professor in the School of Biomedical Engineering at the University of Sydney. His research spans nanotechnology, biomedical imaging, drug delivery systems, and biophotonics, with emphasis on nanoparticle-based therapies and diagnostic platforms. He leads initiatives in external engagement through the Warren Centre and oversees research on nanomaterial applications in healthcare. Current projects include neuromorphic imaging cytometry, SERS-based cellular monitoring, and biomimetic tissue scaffolds. Publications demonstrate consistent focus on interdisciplinary approaches combining nanomaterials engineering with clinical applications. Research outputs frequently involve microfluidic systems, targeted drug delivery, and advanced imaging techniques. Recent work emphasizes neuroprotective therapies, wearable biosensors, and mRNA vaccine delivery platforms.

• Cognitive Neuroscience
• Computational Neuroscience
• Behavioral Neuroscience
• +۴ مورد دیگر

Thomas Akam is an Associate Professor of Experimental Psychology at the University of Oxford's Department of Experimental Psychology. His research investigates neural mechanisms of flexible behavior in complex environments through cognitive mapping and computational modeling approaches. His work centers on how brains construct internal models for planning, generalization, and hidden structure inference, with primary focus on frontal cortex, hippocampus, and dopamine systems. He employs advanced methodologies including silicon probe electrophysiology, fiber photometry, and optogenetics, integrating theoretical neuroscience with machine learning principles to decode behavioral and neural data. Recent publications (2024-2025) reveal strong trends in neural circuit mapping of behavioral structure, dopamine-independent reward processing, and methodological innovation in behavioral paradigms. Key themes connect computational modeling of hidden-state inference with experimental validation of neural circuit mechanisms across multiple brain regions. Dr. Akam has developed two widely adopted open-source neuroscience tools: pyControl for behavioral experiments and pyPhotometry for fiber photometry analysis. He leads the Cognitive Circuits research group at Oxford, emphasizing collaborative development of rich behavioral tasks that generate quantifiable neural datasets while recruiting natural cognitive mechanisms.

• Physical Chemistry
• Data Science
• AI in Chemical Discovery
• +۵ مورد دیگر

Professor Jeremy Frey is a faculty member at the University of Southampton, serving as Professor of Physical Chemistry and Head of the Computational Systems Chemistry Group. His career spans experimental and computational chemistry, with a focus on integrating AI and machine learning into scientific discovery. DPhil from University of Oxford NATO/SERC fellowship at Lawrence Berkeley Laboratory Research interests include molecular organization studies using laser spectroscopy, chemical informatics, and e-Science infrastructure. He investigates how digital tools enhance laboratory intelligence through AI-driven workflows and topological data analysis. Recent publications highlight his work on blockchain in scientific workflows, data management, and AI ethics in food supply chains. His research bridges physical chemistry, computer science, and interdisciplinary studies. RSC Chemical Information and Computer Applications Group - 2021 Inspirational Committee Award Jeremy leads major projects like the EPSRC Network+ on AI and Automated Scientific Discovery, collaborating with institutions including Royal Society, EPSRC, and European Union. He advocates for digital engagement in IUPAC and co-leads the Green Book project.

• Neuroscience
• Neural Circuits
• Sensory Perception
• +۵ مورد دیگر

Dr. Michael Kohl is a Senior Lecturer in Neuroscience at the University of Glasgow's School of Psychology & Neuroscience, affiliated with the Centre for Neuroscience. He holds a B.Sc. in Neuroscience from University College London (2005) and a D.Phil. in Physiology from the University of Oxford (2009). His postdoctoral work spanned the University of Cambridge, Stanford University (2010-2011), and the University of California, Berkeley (2012-2013). He previously served as an Early Career Research Fellow (2013-2018) and University Research Lecturer (2018) at the University of Oxford before joining Glasgow in 2018. His research focuses on neural integration between primary sensory cortices and higher-order regions like the retrosplenial cortex, using theoretical and experimental approaches. Key projects include studying inhibitory interneurons in somatosensory perception, hippocampal-retrosplenial interactions in associative memory, and developing neurotechnological tools for neural circuit analysis. Notable contributions include pioneering work on optogenetic methods, multiplane imaging, and understanding lateralized hippocampal functions. His publications span high-impact journals like Cell Reports , Current Biology , and Proceedings of the National Academy of Sciences . Grants & Awards: Young Investigator Award (Human Frontiers Science Programme, 2015) University Research Lectureship (University of Oxford, 2018) Long Term Fellowship (Human Frontiers Science Programme, 2013-2016) Teaching: Deputy Leader of MSc Brain Sciences Programme Course Leader for Fundamentals of Neuroscience Research (BIOL5283) Instructor for Neuromodulation & Synaptic Plasticity Labs & Teams: Runs the Kohl Lab, focusing on neural circuit dynamics and neurotechnology Collaborates with researchers on Alzheimer's Disease models and optogenetic tools

Ignacio Francoمشاهده پروفایل

استاد

• Quantum Dynamics
• Quantum Information Science
• Quantum Control
• +۳ مورد دیگر

Ignacio Franco is a Professor of Chemistry and Physics at the University of Rochester. He holds a B.Sc. in Chemistry from the National University of Colombia (2001), a Ph.D. in theoretical chemical physics from the University of Toronto (2008), and postdoctoral positions at Northwestern University and the Fritz Haber Institute. His research focuses on quantum dynamics, quantum information science, and quantum control, with emphasis on molecular and material systems where quantum effects are critical. Franco develops theoretical methods and collaborates with experimental groups to advance understanding of quantum phenomena in non-equilibrium systems. Key research areas include dissipation pathways in open quantum systems, laser-driven materials, and electronic decoherence in molecules. He has pioneered frameworks for quantifying quantum dissipation and optimizing light-matter interactions. Franco’s work integrates computational methods, such as tensor networks and Floquet theory, to simulate complex quantum systems. He has received prestigious awards including the NSF CAREER Award and the OpenEye Outstanding Junior Faculty Award. His articles (2023–2025) explore topics like photosynthetic complexes, charge transport in macromolecules, and Floquet engineering of solids. Franco is actively involved in education and mentoring, recognized by teaching awards such as the Curtis Provost Award.

Arvind Tiwariمشاهده پروفایل

پژوهشگر ارشد

• Air pollution modelling
• Urban green infrastructure planning
• Indoor air quality monitoring
• +۵ مورد دیگر

Arvind Tiwari serves as a Research Fellow and PhD student at the Global Centre for Clean Air Research (GCARE) within the Department of Civil and Environmental Engineering at the University of Surrey's School of Sustainability. With over ten years of professional experience, he holds a postgraduate degree in Environmental Engineering and Management from IIT Delhi and an undergraduate Civil Engineering degree from MITS Gwalior. His expertise spans air pollution modeling, green infrastructure planning, and air quality monitoring systems. Education: Master of Technology (Environmental Engineering and Management), Indian Institute of Technology Delhi (2011) Bachelor of Engineering (Civil Engineering), Madhav Institute of Technology & Science, Gwalior (2009) Graduate Certificate in Learning and Teaching, University of Surrey (2020) Graduate Diploma in Nuclear Science & Engineering, BHABHA ATOMIC RESEARCH CENTRE (2012) Tiwari's research integrates computational modeling with field measurements to address urban environmental challenges. His primary focus areas include developing frameworks for green infrastructure impact assessment, characterizing indoor air quality in educational and transportation settings, and optimizing low-cost sensor networks for real-time pollution monitoring. His work bridges environmental engineering with public health applications, particularly regarding respiratory infection transmission dynamics in confined spaces. Analysis of his recent publications reveals a strong thematic concentration on urban air quality solutions during the pandemic era. His research consistently examines the interplay between built environments, human exposure, and mitigation strategies - from classroom ventilation effectiveness to train carriage airflow dynamics and in-car pollution exposure. This body of work demonstrates sophisticated integration of dispersion modeling, field measurements, and health risk assessment. Scientific Awards: Santander Universities Researcher Mobility Award (2018) FEPS PGR Student of the Year Award (2020) Tiwari actively contributes to major research initiatives including the EPSRC-funded CO-TRACE project assessing airborne transmission in schools, the RealAir citizen science air quality monitoring project, and the European iSCAPE project for smart air pollution control. His collaborative work involves multiple institutions including Cambridge University and Imperial College London, with practical applications for urban planning and public health policy development. As a core member of GCARE, Tiwari works within a multidisciplinary team developing innovative tools like the HedgeDATE decision support system and the Envilution chamber for sensor validation. His current PhD research under Professor Prashant Kumar focuses on modeling green infrastructure interventions for air pollutant and urban heat island mitigation at urban scales.