جست‌وجوی استاد و پژوهشگر

• Information Theory
• Cryptography
• Lattice Theory
• +۵ مورد دیگر

Cong Ling is a Professor of Information Theory and Cryptography at Imperial College London's Department of Electrical and Electronic Engineering, within the Faculty of Engineering. His research focuses on lattice theory and its applications in coding, cryptography, quantum information, and number theory. Key affiliations include the Academic Centre of Excellence in Cyber Security Research and the Engineering Secure Software Systems group. Education details are not explicitly provided in the text, but his professional experience indicates advanced qualifications in electrical engineering and mathematics. Research interests span lattice-based cryptography, post-quantum security, algebraic coding theory, and quantum-resistant algorithms. His work bridges information theory and number theory, with contributions to MIMO systems, secure communication protocols, and cryptographic protocol design. Recent publications emphasize lattice reduction techniques, quantum algorithms for the shortest vector problem, and advancements in polar codes. Notable trends include exploration of non-commutative algebras for cryptography, Gaussian sampling optimizations, and hybrid quantum-classical approaches to hard integer problems. Over 50+ articles published since 2018 reflect his leadership in lattice-based research and quantum-safe technologies. Awards: None explicitly listed in the text. Grants/Advising: No specific grants or student advisees mentioned; focus remains on collaborative research outputs. Labs/Teams: Associated with Imperial's Cyber Security Research groups and quantum engineering initiatives.

• Computer Hardware
• FPGA Acceleration
• Artificial Intelligence
• +۸ مورد دیگر

Professor Wayne Luk is a Professor of Computer Engineering at the Department of Computing, Faculty of Engineering, Imperial College London. He leads the Programming Languages and Systems Section and the Custom Computing Research Group, and directs the EPSRC Centre for Doctoral Training in High-performance Embedded and Distributed Systems and the Centre for Advanced Financial Engineering. He previously served as a Visiting Professor at Stanford University from 2006 to 2009. His research spans FPGA acceleration, quantum computing, deep learning optimization, and algorithm-hardware co-design, with affiliations to the CRUK Convergence Science Centre and the Engineering Secure Software Systems group. His research interests include computational modeling for particle physics, causal discovery in agent-based systems, and high-throughput digital electronics. Notable contributions include FPGA-accelerated algorithms for neural networks, quantum circuit simulation, and Bayesian optimization frameworks. His work emphasizes practical applications of reconfigurable hardware in fields like medical imaging, high-energy physics, and financial systems. Professor Luk is a Fellow of the Royal Academy of Engineering, IEEE, and BCS. His publications focus on advancing hardware-aware machine learning, FPGA-based acceleration techniques, and scalable design methodologies. His research bridges theoretical computer science with applied engineering, addressing challenges in real-time systems, embedded computing, and next-generation computing architectures. His academic leadership includes directing interdisciplinary centers and training programs, fostering collaboration across computing, engineering, and physics. Current projects explore quantum computing tools, causal inference systems, and high-performance graph neural networks for particle physics applications.

Andrew Riceمشاهده پروفایل

استاد

• Programming Languages
• Machine Learning
• Artificial Intelligence
• +۴ مورد دیگر

Andrew Rice is a Professor of Computer Science at the University of Cambridge's Department of Computer Science and Technology, and holds the Hassabis Fellowship in Computer Science. He is also the Director of Studies in Computer Science at Queens' College. His research focuses on programming languages, software engineering, and machine learning applications in software development. He leads projects like Isaac Computer Science and ALTA (Automated Language Teaching and Assessment), advancing adaptive learning technologies. His work includes static analysis tools such as Error Prone at Google, energy efficiency studies in computing infrastructure, and contributions to the Computing for the Future of the Planet initiative. His teaching emphasizes practical skill development through flipped classrooms and video lectures, earning him the 2014 Pilkington Prize for teaching excellence. He has held visiting roles at Google and collaborated on energy consumption research for mobile devices and data centers. His research spans systems, networking, and natural language processing, with a strong focus on applying computational methods to real-world challenges. Key Projects: Isaac Physics/Computer Science, ALTA, Error Prone Static Analysis Research Themes: Programming Languages, Machine Learning, Energy Efficiency Awards: Pilkington Prize (2014)

• Quantum Computation
• Quantum Algorithms
• Computational Complexity
• +۳ مورد دیگر

Ashley M R Montanaro is a Professor of Quantum Computation at the School of Mathematics, University of Bristol . Active in quantum computing research since at least 2014, they lead projects at the intersection of quantum algorithms , computational complexity , and quantum information theory , affiliated with the Bristol Quantum Information Institute. Research interests focus on quantum algorithm design , computational complexity analysis , and quantum simulation . Key work includes developing variational quantum algorithms for phase transition detection, Hamiltonian simulation techniques, and quantum-classical hybrid methods for solving complex problems in physics and optimization. Recent publications demonstrate expertise in: Quantum phase diagram simulation with low-depth circuits Quantum speedups for constraint satisfaction problems Quantum communication complexity of machine learning tasks Quantum-enhanced optimization heuristics Hamiltonian simulation with time-dependent product formulas Quantum algorithm complexity analysis Scientific awards include: EPSRC Fellowship (2014-2019) - "New insights in quantum algorithms and complexity" Active in quantum software development through projects like: "Quantum Algorithms from Foundations to Applications" (ERC-2018-COG) "Quantum Computing and Simulation Hub" (2019-2024) "Prosperity Partnership in Quantum Software" (2019-2023)

Stephanie Archerمشاهده پروفایل

دانشیار

• Cancer Risk Prediction
• Digital Health Interventions
• Patient Experience Research
• +۲ مورد دیگر

Dr. Stephanie Archer is an Associate Professor and Senior Research Associate at the University of Cambridge, jointly affiliated with the Department of Psychology and the Department of Public Health and Primary Care. Her work bridges psychological science with clinical applications, particularly in cancer risk assessment and digital health interventions. Dr. Archer holds a BSc, MSc, and PhD, though specific institutions are not mentioned in available sources. Her educational background has prepared her for interdisciplinary research at the intersection of psychology, public health, and clinical medicine. Her research focuses on three primary areas: designing multifactorial cancer risk prediction tools for clinical settings; exploring patient and staff experiences of health and social care; and developing/testing digital health interventions. She employs qualitative methods extensively while also engaging with quantitative approaches for comprehensive health services research. Her work demonstrates strong translational focus, moving from theoretical frameworks to practical clinical applications. Analysis of Dr. Archer's recent publications reveals a consistent trajectory in cancer risk prediction tools (particularly CanRisk), patient experience research across multiple conditions, and implementation science for digital health interventions. Her work spans breast, ovarian, prostate, and other cancers while also addressing mental health in autistic populations and patient safety in surgical settings. The interdisciplinary nature of her research connects psychology with oncology, primary care, and public health. Dr. Archer actively contributes to clinical guidelines development, as evidenced by her involvement in the Joint ABS-UKCGG-CanGene-CanVar consensus regarding CanRisk implementation. Her research methodology combines qualitative depth with mixed-methods approaches to address complex healthcare challenges. As a Senior Research Associate and Associate Professor, Dr. Archer likely supervises PhD students and early-career researchers, though specific advisees are not documented in available sources. Her teaching interests include health psychology, health services research, qualitative methods, and intervention development. Dr. Archer collaborates across multiple research units at Cambridge, including the Primary Care Unit and likely the Centre for Cancer Genetic Epidemiology, reflecting her interdisciplinary approach to improving cancer risk assessment and patient care pathways.

Jossy Sayirمشاهده پروفایل

مدرس

• Information Theory
• Data Compression
• Error Correction Coding
• +۵ مورد دیگر

Jossy Sayir is an Affiliated Lecturer and Senior Research Associate in the Department of Engineering at the University of Cambridge . Holding a Dipl. El.-Ing. ETH and Dr. Techn.-Wiss. from ETH Zurich, Sayir’s work bridges Information Theory and Bioinformatics , focusing on DNA-based data storage and error correction systems. They serve as Director of Studies in Engineering at Newnham College and coordinate Engineering Admissions. Interdisciplinary collaboration with the European Bioinformatics Institute Research on DNA data storage efficiency and cost reduction Expertise in channel coding, source coding, and 5G algorithms Teaching spans mathematics and information engineering modules in Part I Engineering Tripos, with Part II contributions on information theory, error control coding, and cryptography. Sayir also oversees data compression labs and serves as Wine Committee Chair, reflecting diverse interests in food, coffee, wine, music , and jazz . Best Lecturer Award, 2017-18 Research Fellowships in coding theory Key research trends include DNA storage encoding , LDPC decoders , polar code optimization , and Sudoku-inspired constraint coding . Sayir’s work addresses both theoretical and practical challenges in high-density data storage and next-generation communication protocols .

Yasir Nooriمشاهده پروفایل

مدرس

• 2D Materials
• Electrochemical Deposition
• Quantum Information
• +۲ مورد دیگر

Dr. Yasir Noori is a Lecturer in the School of Electronics and Computer Science at the University of Southampton. His research focuses on 2D materials, electrochemical deposition, quantum information, and integrated photonics. He leads a team of PhD researchers and has contributed to a £1.5m EPSRC project as a Co-Investigator. Education: PhD in Integrated Photonics and Quantum Communications (2017, Lancaster University), BEng (Hons) in Electronic Engineering and Physics (2013, University of Dundee). Awards include the Dean’s Award for early career researchers and IOP Philip-Buckle Science Communication Award. Research Interests: Specializes in 2D material heterostructures, semiconductor fabrication, and quantum technologies. Active in EPSRC Peer Review College and serves as Academic Conduct Officer for his school. Publications: Over 15 peer-reviewed articles in high-impact journals like Nature Reviews Chemistry and ACS Applied Materials. Focused on electrodeposition techniques, nanofabrication, and optoelectronic device development. Awards: Multiple conference awards, including Best Poster recognitions at 2D TMDC and Optical Waveguide Theory conferences. Also holds the Three-Minutes Thesis Award from Lancaster University. Teaching: Instructs courses like Semiconductor Devices, Materials and Sensors (ELEC2230) and supervises MSc/BEng projects. Committed to fostering student research through collaborative projects. Labs & Teams: Directs a group including Shaokai Song, Hongwei Zhang, and Ismaeil Alnaab. Current opportunities available for PhD candidates interested in 2D materials and nanofabrication.

Markus Müllerمشاهده پروفایل

استاد

• Quantum Information Processing
• Quantum Simulation
• Quantum Error Correction
• +۵ مورد دیگر

Markus Müller is a Professor in Theoretical Quantum Technology at RWTH Aachen University and the Forschungszentrum Jülich's Peter Grünberg Institute. He leads a research group focused on quantum information processing, quantum simulation, and topological quantum computing/ error correction using atomic, molecular, and optical systems. His work bridges theory and practice, with collaborations on trapped-ion and neutral-atom quantum processors. Education: PhD in Quantum Simulation (2011, University of Innsbruck). Postdoctoral positions at Complutense University Madrid. Faculty roles at Swansea University (2015–2019) before moving to Aachen. Research Interests: Quantum error correction, fault-tolerant protocols, topological phases, quantum neural networks, and scalable quantum hardware. His group explores applications in trapped ions, Rydberg atoms, and superconducting qubits, with projects funded by ERC and EU Quantum Flagship grants. Grants/Projects: ERC Starting Grant (Quantum Neural Networks), EU AQTION (Trapped Ion Quantum Computing), VEQTOR (Fault-Tolerance Validation), and Munich Quantum Valley (Neutral-Atom Processors). Key Publications: Includes experimental demonstrations of fault-tolerant gates, surface-code error correction, and quantum neural networks. Over 120 peer-reviewed articles in Nature Physics , Physical Review X , and Quantum .

Robin Crockettمشاهده پروفایل

پژوهشگر

• Document Forensics
• Academic Integrity
• Contract Cheating
• +۹ مورد دیگر

Dr Robin Crockett is the University Academic Integrity Lead at the University of Northampton, based in the Academic Registry. He is a mathematician-ethicist actively engaged in research and professional development in academic integrity, document forensics, and the detection of contract cheating and AI-generated text. He is a member of the European Network for Academic Integrity (ENAI), co-founder of the Midlands Integrity Group (UK), and has advised UK policymakers on legislation to ban essay mills. He holds Chartered Scientist and Chartered Mathematician status. MPhil, The Management of Electricity Supplies via Storage as Hydrogen, Cranfield University Master, Energy Conservation and the Environment, Cranfield University PhD, Electrostatic Damage to Semiconductor Devices, University of Southampton Master, Natural & Electrical Sciences, University of Cambridge Bachelor, Natural & Electrical Sciences, University of Cambridge Dr Crockett's research centers on document forensics and academic integrity, with core interests in Fourier theory, time-series analysis, and stylometry for identifying contract cheating. His work increasingly addresses the challenges posed by generative artificial intelligence in education. He applies mathematical and statistical methods to analyze linguistic cues, writing styles, and embedded information in student submissions. His recent publications highlight a strong trend toward understanding and mitigating academic misconduct in the AI era. Topics include AI-text detection uncertainties, forensic stylometry, and policy development for generative AI misuse. Earlier work includes environmental research on radon remediation and signal processing applications in telecommunications. Chartered Scientist Chartered Mathematician Dr Crockett has supervised PhD students, including Believe Nwamae in Computing. He has secured internal research funding, such as the Small Grants Scheme for Early Career Researchers at the University of Northampton for a project on AI-synthesized text detection. He has been an Academic Visitor at Loughborough University and served on the Turnitin Advisory Board, indicating active collaboration and external engagement. He frequently presents at academic events and contributes to policy discussions. He is affiliated with research networks including the European Network for Academic Integrity (ENAI) and the European Geosciences Union (as a former Scientific Officer). His work is supported by institutional and collaborative projects focused on advancing machine discernment of academic misconduct.

Curt von Keyserlingkمشاهده پروفایل

دانشیار

• Quantum Many-Body Systems
• Topological Phases of Matter
• Quantum Information Theory
• +۴ مورد دیگر

Dr. Curt von Keyserlingk is a Reader (equivalent to Associate Professor) in theoretical physics at King's College London, based in the Theory & Simulation of Condensed Matter Group within the Department of Physics, Faculty of Natural, Mathematical & Engineering Sciences. His research focuses on understanding complex quantum systems through both analytical and numerical approaches. His educational background includes an MMath from the University of Cambridge, followed by DPhil studies at the University of Oxford under Professor Steve Simon. Prior to his current position at King's, he held a postdoctoral research fellowship at the Princeton Center for Theoretical Science and was a lecturer at the University of Birmingham. Dr. von Keyserlingk's research centers on interacting quantum systems, studying exotic phenomena such as superconductivity, topological order, localization, and time crystallinity. His work bridges the gap between fundamental quantum mechanics and practical applications in quantum computing. He develops both analytical frameworks and numerical tools to understand how quantum systems evolve and behave under various conditions, with particular emphasis on non-equilibrium dynamics, quantum information processing, and topological phases of matter. His recent publications reveal a strong focus on quantum many-body systems, with particular attention to topological phases in three dimensions, operator dynamics in quantum systems, and the interplay between dissipation and quantum information. His work spans from fundamental theoretical questions about quantum thermalization to practical applications in quantum error correction and quantum computing architectures. Dr. von Keyserlingk is the recipient of a prestigious UKRI Future Leaders Fellowship, which supports his research on robust many-body quantum phenomena. His current projects include 'Robust Many-body Quantum Phenomena Through Driving And Dissipation' (2025-2028) and 'Robust many-body Quantum phenomena through Driving and Dissipation' (2022-2025). He actively supervises PhD students and runs the physics intercollegiate programme between King's College London and Royal Holloway, University of London. His research group focuses on developing new theoretical frameworks to understand quantum systems that could potentially be harnessed for quantum computing applications.

Peter Bellمشاهده پروفایل

استاد

• Automatic Speech Recognition (ASR)
• Cross-domain and Cross-lingual Adaptation
• Speech Representation Learning
• +۴ مورد دیگر

Roles: Prof Peter Bell holds a personal chair in speech technology at the University of Edinburgh's School of Informatics and is a core member of the Centre for Speech Technology Research (CSTR). His primary research focus is automatic speech recognition (ASR), particularly in cross-domain adaptation, lightly supervised training, and minority language systems. He teaches the Automatic Speech Recognition course and advises multiple PhD students. Research Interests: Prof Bell's work spans ASR system development for diverse domains, audio-visual integration, end-to-end models, and under-resourced languages. His projects include the CoG-MHEAR healthcare initiative and the Unmute project addressing language marginalization. He has pioneered techniques for speaker adaptation, raw-waveform modeling, and multi-task learning. Commercial Activities: He advises industry on speech tech adoption, co-founded Quorate Technology (acquired by LSEG), and provides consultancy to firms developing speech solutions. His work bridges academic research with commercial impact through projects like the BBC's MGB Challenge and EU-funded SUMMA platform. Grants & Projects: Leads EPSRC-funded CoG-MHEAR and Unmute initiatives, collaborates on IARPA MATERIAL for low-resource ASR, and contributed to the SpeechWave waveform-based ASR project. His research has been supported by Bloomberg, Ericsson, Samsung, and Toshiba. Labs & Teams: Active in CSTR, leading teams in speech representation learning, adaptation techniques, and multi-modal ASR. His lab supports interdisciplinary work with NLP, HCI, and biomedical engineering groups. Personal: A passionate hillwalker, he explores Scottish Highlands and Corbetts. Previously active in Edinburgh University Hillwalking Club, his outdoor pursuits reflect his disciplined approach to research exploration.

Oliver Johnsonمشاهده پروفایل

استاد

• Information Theory
• Probability
• Statistics
• +۳ مورد دیگر

Professor Oliver Johnson is a faculty member at the School of Mathematics, University of Bristol, UK, where he serves as Head of School and holds the Professor of Information Theory position. His research bridges information theory, probability, and statistics, focusing on entropy convergence, group testing, and fundamental limits in data analysis. Current PhD students: Kieran Morris, Conor Crilly Ex-PhD students: Matt Aldridge, Leonardo Baldassini, Dan Cowley, Vaia Kalokidou, Tom Kealy, Jennifer Chakravarty, Zichen Gui, Chrys Paschou Ex-postdoc: Erwan Hillion His work includes ORCiD profile and collaborations across information theory, cybersecurity, and ecological modeling.

• Digital Communications
• Signal Processing
• Networking
• +۳ مورد دیگر

Mahsa Derakhshani is a Senior Lecturer (equivalent to Associate Professor) in Digital Communications at Loughborough University's Wolfson School of Mechanical, Electrical and Manufacturing Engineering. She leads research in the Signal Processing and Networks Research Group (SPNRG) and serves as an Associate Editor for the IET Signal Processing Journal. Her academic journey includes a PhD from McGill University (2013), followed by postdoctoral roles at the University of Toronto and Imperial College London. Key awards include the Royal Academy of Engineering/The Leverhulme Trust Research Fellowship (2020-21) and NSERC Postdoctoral Fellowships (2015-2017). Research interests focus on digital communications, machine learning for signal processing, wireless networks, and reinforcement learning applications. Recent work addresses challenges in satellite communications, OTFS modulation, and opto-physiological monitoring. She has authored over 70 publications spanning topics like NOMA systems, MIMO optimization, and edge-assisted live streaming. Education: PhD (McGill, 2013), MSc (Sharif University, 2008), BSc (Sharif University, 2006) Affiliations: IEEE Senior Member, IET Member, Fellow of the Higher Education Academy Grants & Funding: Leverhulme Trust, Royal Academy of Engineering, NSERC Labs/Teams: Active in SPNRG and collaborates on projects involving 5G/6G networks, satellite systems, and biomedical signal processing. Current research emphasizes AI-driven solutions for communication networks and wearable health monitoring technologies.

• Information Theory
• Coding Theory
• Algorithm Design
• +۳ مورد دیگر

Sidharth Jaggi is a Professor at the School of Mathematics, University of Bristol, with over 19 years of experience in Information and Data Sciences through the lens of Information Theory. His work emphasizes fundamental performance limits and algorithm design for systems under adversarial threats. Education: B.Tech, M.Phil, PhD Research interests focus on adversarial communication, information-theoretic security, coding theory, and sparse data estimation. He leads the CAN-DO-IT team (Codes, Algorithms, Networks – Design and Optimization for Information Theory), integrating theoretical tools into practical applications like secure distributed computing and robust data storage. Recent publications highlight advancements in adversarial channels , group testing , and privacy-preserving coding . Trends include covert communication under spectral constraints, causal feedback benefits, and efficient algorithms for high-dimensional problems. Current projects include "Information Theory for Interactive Distributed AI" (2024–2029), exploring interactive systems under adversarial constraints.

• Quantum Computing
• Fault-Tolerant Quantum Computing
• Topological Error Correcting Codes
• +۴ مورد دیگر

Earl Campbell is Professor of Quantum Computation in the School of Mathematical and Physical Sciences at the University of Sheffield. He holds an MSc in Physics and Philosophy from University of Bristol and a PhD in Quantum Computing from University of Oxford. His research develops fault-tolerant quantum computing protocols, error correction codes, and quantum software architectures to enable reliable quantum technologies. Key focus areas include topological error correction, magic state distillation, qudit computation, and bridging quantum theory with hardware implementation. Research Team: 1 Postdoctoral Researcher (Mark Howard) 1 PhD Student (Luke Heyfron) Major Grants: EPSRC Early Career Fellowship: 'Towards fault-tolerant quantum computing with minimal resources' (£675,867) Royal Commission of Great Exhibition of 1851 Fellowship