جست‌وجوی استاد و پژوهشگر

Zheng Yuanمشاهده پروفایل

مدرس ارشد

• Educational Technology
• Language Acquisition
• Multilingual NLP
• +۳ مورد دیگر

Dr. Zheng Yuan is a Senior Lecturer (Associate Professor) in Natural Language Processing at the School of Computer Science, University of Sheffield. He holds affiliated positions at the University of Cambridge and King's College London, and is a Fellow of Trinity College, Cambridge. His research focuses on NLP applications in education, healthcare, and multilingual systems. Education: PhD in Natural Language Processing, University of Cambridge MPhil in Advanced Computer Science, University of Cambridge BSc(Eng) from Queen Mary University of London Research: Dr. Yuan's work spans educational NLP, multilingual systems under low-resource conditions, and explainable machine learning. His group develops technologies for grammatical error correction, automated assessment, and cross-lingual applications, with significant contributions to computer-assisted language learning and computational creativity. Publications: Recent works (2023-2025) demonstrate strong focus on educational NLP, multilingual systems, and LLM evaluation. Key themes include grammatical error correction for code-switched languages, creativity assessment frameworks, and robust evaluation methods for large language models across diverse linguistic contexts. Awards: Winning systems at SemEval-2021 and CoNLL-2014 Fellowship at Trinity College Cambridge Fellow of Higher Education Academy Grants & Advising: Principal Investigator for Royal Society grant 'Large Language Models as Agents for Intelligent Language Tutoring' (2025-2027). Actively supervises PhD students in NLP and machine learning, welcoming new research collaborations. Affiliations: Member of Alan Turing Institute (Data-Centric Engineering), King's Institute for AI, and ACL committees. Organizes major NLP workshops including ACL/NAACL BEA workshops and AIED tutorials.

• Computational Social Cognition
• Social Biases
• Self-Relevance
• +۵ مورد دیگر

Marius Golubickis is a Lecturer at the School of Psychology, University of Aberdeen . His research focuses on computational social cognition , investigating how self-relevance and stereotypical beliefs influence decision-making, attention, and learning through methodologies like Drift Diffusion Modeling and EEG . Research Areas : Computational Social Cognition, Self-Bias, Stereotype-Based Processing, Attention, and Neural Correlates of Self-Relevance. His recent publications (2023–2025) explore the temporal dynamics of self-prioritization , mindfulness interventions on learning efficiency, and stereotype-based associative learning . Methodologies span EEG spectral analysis , predictive coding , and behavioral experiments . Teaching : Courses include Perception , Advanced Psychology B , and Current Topics in Psychological Studies . He accepts PhD students in Psychology and collaborates with researchers like C. Macrae and J. Falben .

Jayakrishnan M. Purushothamaمشاهده پروفایل

استادیار

• Microwave Engineering
• Antenna Design
• Chipless RFID
• +۵ مورد دیگر

Jayakrishnan M. Purushothama is an Assistant Professor in the Microwave and Antenna Engineering Research Group at Heriot-Watt University's School of Engineering and Physical Sciences since March 2023. Previously, he held roles including Post-Doctoral Researcher (2019–2021) and Ph.D. scholar (2016–2019) at Université Grenoble Alpes, and Research Fellow (2014–2016) at Cochin University of Science and Technology. Education: B.Sc. (Electronics) & M.Sc. (Electronics Science), Mahatma Gandhi University & Cochin University of Science and Technology (2012–2014), both with first rank honours. Ph.D. (RF and Microwave Electronics Engineering), Université Grenoble Alpes (2019). Research interests focus on microwave antennas, beamforming, chipless RFID systems, CBRAM-based RF switches, medical biosensors, and electromagnetic compatibility. His work emphasizes reconfigurable systems, energy efficiency, and non-volatile memory applications in passive devices. Awards include the URSI Young Scientist Award (2020), 4th Prize in URSI Student Competition (2018), and UGC NET/JRF qualification (top 0.6% in 2013). Grants include ERC-funded ScattererID project (2019–2021) developing CBRAM-based RF switches. His lab explores innovations in antenna engineering, RF materials, and wearable electronics. Key contributions include reconfigurable antennas, low-cost RFID tags, and metamaterial-based shielding solutions.

Alastair Kayمشاهده پروفایل

دانشیار

• Quantum Information
• Quantum Computing
• Quantum State Transfer
• +۵ مورد دیگر

Alastair Kay is a Quantum Dynamics Reader at the Department of Mathematics, Royal Holloway, University of London . His research focuses on theoretical Quantum Information , aiming to bridge quantum theory with experimental quantum technologies, particularly quantum computers . Known for pioneering work on perfect quantum state transfer Contributed extensively to quantum memories (e.g., Toric code), quantum cloning , and entanglement detection Active in collaborations across quantum computing and information theory Research Interests span: Quantum Communication : Optimizing state transfer protocols Quantum Error Correction : LDPC codes and fault tolerance Quantum Cryptography : Blind computation frameworks Quantum Network Design : Encoding and memory architectures Grants : Principal Investigator for EPSRC-funded projects on Quantum LDPC Codes (2023-2025) and Synthesis of Quantum States (2016-2018).

• Wireless Communication
• Network Optimization
• Machine Learning
• +۳ مورد دیگر

Athanasios Gkelias is a Research Fellow in the Department of Electrical and Electronic Engineering at Imperial College London's Faculty of Engineering. His research focuses on advanced wireless communication systems, network optimization, machine learning applications, and quantum computing methodologies. He contributes to interdisciplinary projects involving IoT coalitions, adversarial signal detection, and cognitive behavior analysis. Key research areas include: (1) Network resource management in Software-Defined Networks (SDN), (2) Localization systems for indoor environments, (3) 3D reconstruction using photometric stereo and origami-based modeling, and (4) distributed optimization frameworks for ad-hoc networks. His recent work explores quantum approaches to combinatorial optimization and self-supervised learning methods. Publications span 20+ years with notable contributions in network coding, vehicular ad-hoc networks (VANETs), and cross-layer design for wireless mesh networks. His work emphasizes practical implementations through frameworks like iVisher for caller ID spoofing detection and cooperative MAC protocols for multi-antenna systems. No scientific awards are listed in the provided information. His research has been applied in healthcare technology through emotion understanding systems for Alzheimer’s patients and in battlefield communication through IoBT coalitions. Active participation in Imperial College's Engineering faculty reflects his commitment to advancing telecommunications and network science.

Anne Willisمشاهده پروفایل

استاد

• Post-transcriptional Control
• RNA-binding Proteins
• Toxicology
• +۴ مورد دیگر

Anne Willis is a Professor and Director of the MRC Toxicology Unit at the University of Cambridge, School of the Biological Sciences. Her research focuses on post-transcriptional control mechanisms in toxic injury, particularly involving RNA-binding proteins, regulatory RNA motifs, and tRNAs. She leads the Post-transcriptional control of gene expression following toxic injury program and collaborates on the Fibre Toxicity initiative. Biography Highlights : PhD in Biochemistry (University of London), Fellowships at BBSRC, EMBO member (2015), OBE (2017) Research Themes : Predictive adverse outcome models for toxicology, off-target effects of therapeutic RNAs, translational regulation in cancer Funding : Wellcome Trust LEAP grant, MRC (via Nucleic Acid Therapy Accelerator), Cancer Research Technologies Techniques : Mass spectrometry, Ribosome/polysome profiling, RBPome profiling Scientific Awards : OBE (2017) - Services to biomedical sciences and women in science BBSRC Advanced Fellowship (2000-2005) BBSRC Professorial Fellowship (2009-2013) EMBO membership (2015) Contact : tls36@cam.ac.uk | enquiries@mrc-tox.cam.ac.uk

• AI and Robotics
• Human-Robot Interaction (HRI)
• Autonomous Agents
• +۷ مورد دیگر

Dr. Abolfazl Zaraki is a Senior Lecturer in AI and Robotics at the University of Hertfordshire's Department of Computer Science, part of the School of Physics, Engineering & Computer Science. He leads the Robotics Research Group and previously held roles at Cardiff University's School of Engineering and the IROHMS Research Centre. His academic journey includes a Master's in Mechatronics from University Technology Malaysia (2010) and a PhD in Automatic Robotic and Bioengineering from the University of Pisa (2014). He has held Research Fellow positions in Italy and the UK until 2019. Dr. Zaraki's research focuses on AI-driven autonomous systems, social robotics, and assistive technologies. Key projects include the EASEL, BabyRobot, and JAMES EU initiatives, alongside the Innovate UK-funded InSight project. His work emphasizes Human-Robot Interaction (HRI), trusted autonomy, and applications in healthcare and industrial contexts. Notable contributions include the development of the Kaspar humanoid robot for autism therapy and advancements in reinforcement learning for robotic control. His recent publications (2021–2025) explore agentic AI, memory-driven systems, and personalized LLMs for HRI, alongside technical advancements in robotic control, communication systems, and bio-inspired robotics. His research bridges theoretical AI innovation with practical applications in healthcare, education, and industrial automation. Zaraki has collaborated internationally across institutions and industry partners, contributing to 35+ research outputs. His work aligns with global trends in ethical AI, explainable systems, and human-centric robotics design.

Roni Granotمشاهده پروفایل

استاد

• Music Cognition
• Music Psychology
• Neuroscience of Music
• +۵ مورد دیگر

Roni Granot is a Professor and Principal Investigator at the Department of Musicology, Hebrew University of Jerusalem, where they lead the Music Cognition Lab. With 61 publications and nearly 2,000 citations, Granot has established themselves as a prominent researcher in the interdisciplinary field connecting music with cognitive science, neuroscience, and psychology. Granot's research focuses on music cognition, particularly the psychological and neural mechanisms underlying emotional responses to music. Their work examines how musical elements like rhythm, melody, and structure influence listeners' emotional experiences, social bonding, and cognitive processing. Recent research has explored music's role in well-being during crises, such as the COVID-19 pandemic, investigating how individuals across different cultures use music to achieve emotional regulation and social connection. Analysis of Granot's publication record reveals a strong interdisciplinary approach combining neuroscience, psychology, and music theory. Their research demonstrates particular interest in predictive coding models of music perception, examining how listeners' expectations influence emotional responses. The work spans experimental studies using fMRI, behavioral experiments, and cross-cultural investigations, with significant contributions to understanding musical humor, social bonding through music, and the neural correlates of musical pleasure. As Principal Investigator of the Music Cognition Lab, Granot has fostered numerous international collaborations with researchers in neuroscience, psychology, and musicology. Their work has been cited by scholars across multiple disciplines, indicating significant impact in both music research and cognitive science communities.

• Pain Psychology
• Sports Psychology
• Health Psychology
• +۲ مورد دیگر

Andrew Baird serves as a Senior Lecturer in Psychology within the College of Health, Psychology and Social Care, focusing on experimental pain research with interdisciplinary applications in sports, anesthesia, and rehabilitation medicine. His primary research investigates pain tolerance mechanisms, particularly how exposure to contact sports modulates pain perception and motor performance during experimental pain. Additional work explores ergonomic interventions for healthcare professionals, pain belief systems in chronic low back pain patients, and rehabilitation program efficacy. Key methodologies include longitudinal studies, experimental pain paradigms, and ergonomic assessments. Publication trends reveal consistent specialization in pain psychology since 2008, with recent work emphasizing cognitive load reduction in medical settings and sports-related pain adaptation. His research demonstrates strong collaboration with medical professionals across anesthesia, dentistry, and physiotherapy fields. No information is available regarding student supervision, research grants, or laboratory facilities.

Dorian Gangloffمشاهده پروفایل

پژوهشگر ارشد

• Quantum Information Science
• Quantum Engineering
• Solid-State Physics
• +۵ مورد دیگر

Dr Dorian Gangloff is a Research Fellow at the University of Cambridge's Cavendish Laboratory, leading the Quantum Engineering Group. He holds a Royal Society University Research Fellowship and a UKRI New Investigator Award. His research focuses on solid-state spins and photons, developing hybrid systems for quantum computing, communication, and simulation. He previously held positions at the University of Oxford (Associate Professor) and Cambridge's St John's College (Junior Research Fellowship). He completed his PhD at MIT's Center for Ultracold Atoms in 2016. His research interests span quantum interface engineering, quantum dots, spin qubits, and photonics. Key projects include the QuantERA consortium MEEDGARD on entanglement distribution with gallium arsenide quantum dots. His work emphasizes theoretical and experimental studies of few- and many-body quantum systems. Recent publications highlight advancements in quantum dot design, spin-photon interfaces, and error-correcting codes. Awards include fellowships recognizing his contributions to quantum technologies. He leads collaborative efforts in quantum networks and materials, advancing interdisciplinary research across condensed matter physics and quantum engineering.

Mohd. Tasleem Khanمشاهده پروفایل

استادیار

• Machine Learning/Artificial Intelligence
• Signal Processing
• Communication Systems
• +۴ مورد دیگر

Dr. Mohd. Tasleem Khan is an Assistant Professor at the Institute of Sensors, Signals, and Systems (ISSS), School of Engineering and Physical Sciences (EPS), Heriot-Watt University. Previously, he held roles as Principal Engineer at TSMC (2019), Assistant Professor at IIT Dhanbad (2020–2021), Research Consultant at KAUST (2020–2021), and Postdoctoral Researcher at Linköping University (2021–2024). He earned his Ph.D. in VLSI for signal processing and communication systems from IIT Guwahati (2019). His research focuses on Machine Learning/AI, Signal Processing, and Communication Systems, with expertise in VLSI architectures. Key contributions include energy-efficient designs for neural networks, adaptive filtering algorithms, and 6G systems. His work bridges theoretical algorithms with hardware implementation, emphasizing low-power and high-throughput solutions. Publications span circuits, systems, and interdisciplinary areas like biochemistry, showcasing his interdisciplinary approach. He has contributed to advancements in distributed arithmetic-based architectures, LMS filters, and FPGA implementations. Current affiliations include the Microwaves and Antenna Engineering Group at Heriot-Watt University, a global leader in wireless systems research.

• Market Design
• Corporate Governance
• Institutional Investors
• +۳ مورد دیگر

Konstantinos Zachariadis is a Professor of Financial Economics at Queen Mary University of London's School of Economics and Finance (SEF). He is also a Research Associate at the Financial Markets Group and Systemic Risk Centre at the London School of Economics (LSE). Previously, he held roles as an Associate Professor (UK Reader) and Assistant Professor (UK Lecturer) at LSE's Department of Finance, affiliated with the Paul Woolley Centre. His research focuses on Market Design, Corporate Governance, and Institutional Investors, with publications in top journals like the Journal of Finance and Journal of Financial Economics . He holds a PhD in Managerial Economics and Strategy from Northwestern University's Kellogg School of Management, an MSc from Northwestern, and a Diplome in Electrical and Computer Engineering from Aristotle University of Thessaloniki. Notable awards include the Fulbright Scholarship and RSA Fellowship. Zachariadis teaches extensively in Investments, Corporate Finance, and Hedge Funds across academic and executive programs. His research explores strategic interactions in financial markets, including mechanisms for corporate governance, institutional investor behavior, and market microstructure. Recent work examines exit strategies of blockholders and persuasion dynamics among large investors. His engineering background informs interdisciplinary studies on signal processing and network optimization, though current focus remains on financial economics. Zachariadis collaborates with institutions like the Systemic Risk Centre and contributes to policy discussions through Queen Mary Policy Briefs. His academic leadership includes directing research at SEF and advising on corporate governance frameworks. Ongoing projects involve AI agents in market games and knowledge market design.

• Visual attention
• Visual search
• Unconscious processing
• +۵ مورد دیگر

Dr. Greg Davis is an Associate Professor in the Department of Psychology at the University of Cambridge. As a principal investigator affiliated with Cambridge Neuroscience, he leads research in adaptive brain computations, focusing on visual attention, unconscious processing, and their applications in security contexts. His work also explores visual perception differences in autism and the intersection of cognitive neuroscience with real-world applications. University of Cambridge Department of Psychology Cambridge Neuroscience Dr. Davis' research spans fundamental and applied cognitive neuroscience. Key areas include: Visual attention and search mechanisms Unconscious perceptual processing Autism spectrum disorder perception Security applications of visual cognition Neural correlates of social perception Human factors in threat detection His recent publications examine advanced imaging techniques for security screening, attentional biases in gaze detection, and neural mechanisms underlying visual suppression. These works bridge cognitive theory with practical implementations in airport security and autism research.

• Mobile Communications
• Radio Frequency Radiation Safety
• Biometric Radio Systems
• +۳ مورد دیگر

Dr Robert Edwards is a Reader in Mobile Communications and Director of the 5G Research Centre at Loughborough University. Formerly Director of Sheffield's Centre for Mobile Communications Research, he holds Senior Member status in IEEE and is a Chartered Engineer with the IET. His research focuses on biometric radio systems, mobile communications advancements, and the health implications of radio frequency radiation exposure. Education : BEng (Hons) in Electronic Engineering (Communications), University of Sheffield PhD in Communications & Radar Engineering from Sheffield University Research Interests : Developing biometric authentication through radio channel characteristics Antenna design for on-body and industrial applications IoT-based flood monitoring systems in developing regions RF safety assessment and mitigation strategies Key Activities : External Examiner for multiple institutions including American College of Thessaloniki and Arab Open University Member of Wireless World Research Forum's Communications Division Subject advisor for British University in Egypt (Communications Electronics) Labs/Teams : Leads the Loughborough 5G Research Centre and collaborates with the Antenna Team (as noted in his 2013 publications).

Steven Herbertمشاهده پروفایل

مدرس

• Quantum Computing
• Quantum Algorithms
• Quantum Sensing
• +۳ مورد دیگر

Steven Herbert is an Affiliated Lecturer in the Department of Computer Science and Technology at the University of Cambridge, where he teaches the Part II Quantum Computing course. In addition to his academic role, he serves as Head of Quantum Algorithms at Cambridge Quantum and is a By-Fellow at Churchill College. His research focuses on quantum computing, quantum algorithms, and their applications in areas such as sensing, communications, and optimization. A central theme of his work involves developing and analyzing quantum algorithms for Monte Carlo integration, entanglement distribution, and network coding, with a particular emphasis on practical implementations on near-term quantum hardware. He has contributed to theoretical advancements regarding quantum-classical algorithm comparisons, noise-aware techniques, and reinforcement learning applications in quantum compilation. Herbert’s research also explores interdisciplinary applications of quantum computing, including data-centric engineering and scientific computing. He actively investigates the intersection of quantum technologies with machine learning, particularly in generative adversarial networks (GANs), and has pioneered methods to optimize quantum circuit design and resource utilization. His work often bridges foundational theory with practical hardware constraints, addressing challenges such as qubit routing, error mitigation, and algorithmic efficiency in restricted quantum architectures. Through his affiliation with Cambridge Quantum, he collaborates on real-world quantum computing projects, emphasizing the translation of theoretical insights into tangible applications. His contributions span academic publications, industry partnerships, and educational initiatives aimed at advancing quantum literacy and innovation.