جست‌وجوی استاد و پژوهشگر

• Neuroscience
• Visual System
• Neuronal Circuits
• +۵ مورد دیگر

Dr. Anton Nikolaev serves as a Lecturer in Neuroscience at the University of Sheffield's School of Biosciences since 2013, investigating neuronal circuits for visual information processing using zebrafish models and in vivo calcium imaging techniques to decode object recognition mechanisms and memory encoding processes. Education: PhD, Institute of Cytology, Russian Academy of Science, St.Petersburg (2001-2005) BSc and MSc, University of St.Petersburg (1994-2000) Postgraduate Certificate in Learning and Teaching, University of Sheffield (2015) His research program focuses on how visual systems extract features for object recognition and how synaptic plasticity encodes memory. Using zebrafish larvae expressing calcium indicators, his lab studies neural population dynamics during visual processing, examining feature extraction convergence into object-recognizing neurons and adaptation's role in efficient information processing. Current projects include developing GFP-based reporters for synaptic strength changes during memory formation. Publication trends reveal a consistent neuroscience focus spanning molecular calcium channel studies to systems-level visual processing in zebrafish and Drosophila. His work demonstrates interdisciplinary integration of behavioral paradigms, live imaging, and computational analysis to investigate neural circuit dynamics, synaptic adaptation mechanisms, and sensory information encoding across multiple model organisms. Dr. Nikolaev contributes to the University of Sheffield's Neuroscience Institute and Hearing Research Group, teaching undergraduate neuroscience modules including BMS109-153 Neuroscience and coordinating BMS242 Advanced Concepts in Molecular Physiology as a Fellow of the Higher Education Academy (FHEA).

Elias Ezeمشاهده پروفایل

مدرس

• Cyber Security
• Networks and Network Security
• Intelligent Systems
• +۷ مورد دیگر

Dr. Elias Eze is a Lecturer at the Department of Computing and Engineering within the School of Architecture, Computing and Engineering at the University of East London. He joined UEL in July 2022 after working as a Research Fellow and Associate Lecturer at the University of Bedfordshire and an academic at Ebonyi State University in Nigeria. PhD in Computer Science (University of Bedfordshire, 2017) MSc in Computer Networking (University of Bedfordshire, 2012) BSc in Computer Science (Ebonyi State University, Nigeria, 2010) Dr. Eze specializes in Big Data Analytics , Machine Learning , Artificial Intelligence , Network Security , and Cyber Security . His research focuses on applying deep learning and data mining techniques to aquaculture, vehicular networks, and food supply chains. He is a Certified Ethical Hacker (CEH) and an associate member of the British Computer Society. His recent publications emphasize the integration of 5G-IoT connectivity with Big Data Analytics for aquaculture optimization, leveraging Neural Networks in water quality monitoring, and enhancing communication reliability in Vehicular Ad-Hoc Networks (VANETs). Notable projects include the Advancing Digital Precision Aquaculture in China (ADPAC) initiative funded by the Newton Fund, Innovate UK, and BBSRC. Dr. Eze teaches modules such as Computers and Network Security (CN6003) and Big Data Analytics (CN7031). He supervises final-year projects, master's dissertations, and doctoral students.

• Auditory Perception
• Psychoacoustics
• Hearing Impairment
• +۱ مورد دیگر

Brian C. J. Moore is Professor at the University of Cambridge's Department of Psychology, where he leads pioneering research in auditory perception and psychoacoustics. His work spans fundamental hearing mechanisms, hearing impairment, and hearing aid design, with extensive publications advancing theoretical models of auditory processing. Research examines auditory filter shapes, masking phenomena, spectral and temporal resolution, and perceptual consequences of cochlear damage. Recent publications focus on binaural hearing, speech perception in noise, and hearing-aid processing strategies. Key contributions include computational models of loudness perception and auditory signal processing validated through psychophysical experiments. Research has practical applications in clinical audiology and hearing rehabilitation technologies.

• Massive MIMO
• Aeronautical Communications
• Optimization Algorithms
• +۴ مورد دیگر

Jiankang Zhang is a Senior Lecturer in Computer Science at Bournemouth University, UK. He previously held positions at the University of Southampton (Senior Research Fellow) and Zhengzhou University (Lecturer/Associate Professor). His research focuses on massive MIMO , aeronautical communications , optimization algorithms , and edge computing , with applications to UAV networks, visible light communication (VLC), and physical layer security. Education: PhD in Communication and Information Systems (Zhengzhou University, 2012), BSc in Mathematics and Applied Mathematics (Beijing University of Posts and Telecommunications, 2006) His recent work explores reconfigurable intelligent surfaces (RIS) for secure transmissions, UAV-assisted networks , and multi-agent reinforcement learning for resource allocation in NOMA-V2X systems. He contributes to IEEE journals as an Associate Editor and Guest Editor. Scientific Awards: IEEE Senior Member (2018), Outstanding Associate Editor (IEEE Access, 2020), Workshop Chair (IRSCN), Guest Editor roles His article trends emphasize 5G/6G , secure wireless communication , machine learning-aided network optimization , and UAV mobility , with a focus on balancing security vs. efficiency in next-generation networks.

Paolo Modestiمشاهده پروفایل

مدرس ارشد

• Cybersecurity
• Formal Methods for Security
• Security Protocols
• +۵ مورد دیگر

Paolo Modesti is a Senior Lecturer in Cybersecurity at Teesside University's School of Computing, Engineering and Digital Technologies. He holds a PhD in Computer Science from Ca' Foscari University Venice, Italy, and an MSc from the University of Udine. His research focuses on security protocols, formal methods, and tool development for secure systems. He is a Fellow of the Higher Education Academy and a licensed professional engineer. Dr. Modesti's work includes designing formal verification frameworks (e.g., AnBx compiler/IDE) and analyzing protocols like Open Banking APIs and Bitcoin's Payment Protocol. He actively contributes to academic conferences (e.g., IEEE, ACM) and serves on program committees for security-related events. His teaching roles include leading the BSc Cyber Security program and modules on Ethical Hacking and Security Analysis. Research interests span security protocol modeling, automatic code generation, intrusion detection systems, and blockchain security. He advocates bridging the gap between academic tools and industry practices through frameworks like PTES and MITRE ATT&CK. His tools, such as the AnBx ecosystem, aim to simplify formal methods adoption for practitioners.

• Wireless Communications
• Telecommunications
• Signal Processing
• +۳ مورد دیگر

Prof. Rob Maunder is a Professor of Electronics & Computer Science at the University of Southampton. He holds a BEng (First Class Honours) in Electronic Engineering (2003) and a PhD in Telecommunications (2007). His research focuses on joint source/channel coding, wireless communication algorithms, and hardware implementations. He leads projects funded by EPSRC and the Royal Society, including work on 5G non-terrestrial networks and reconfigurable intelligent surfaces. Rob is the founder and CTO of AccelerComm Ltd, commercializing his research via soft-IP solutions. He has held roles from Lecturer (2007) to Professor (2017), and is a Chartered Engineer (IET), IEEE Senior Member, and IET Fellow. His work spans MIMO systems, iterative receivers, and deep learning applications in communications. Key honors include Fellowships from the IET (2017) and Higher Education Academy (SFHEA). He supervises PhD students, such as Arumjeni Mitayani, and collaborates with industry partners like Thales. Current research emphasizes energy-efficient wireless networks, next-gen modulation techniques, and hardware-software co-design.

Yi Chuمشاهده پروفایل

پژوهشگر ارشد

• Wireless Sensor Networks
• Reinforcement Learning
• Communication Technologies
• +۵ مورد دیگر

Dr. Yi Chu is a Research Fellow in the Department of Electronic Engineering at the University of York. He holds a BSc from China Agriculture University (2008) and a PhD from the University of York (2010). His research focuses on Communication Technologies, specializing in Wireless Sensor Networks, Reinforcement Learning, and 5G/Cell-Free MIMO systems. He is actively involved in EPSRC projects like NetCodMod5G and leads collaborative initiatives in aerial neutral host networks and quantum key distribution. Education: BSc, China Agriculture University (2008) MSc & PhD, University of York (2010) Research Interests: Wireless Sensor Networks Reinforcement Learning Applications 5G/6G Network Technologies Cell-Free MIMO Architectures Quantum Key Distribution Recent Work: Developed O-RAN-based testbeds for cell-free MIMO systems Advanced channel estimation using graph neural networks Investigated power consumption in Open RAN digital twins Grants & Projects: EPSRC REACH: Distributed Beamforming Antenna Testbed RIC Enabled (CF-)mMIMO for HDD (2023-2025) KTP with AEMT Ltd (2022-2024) Labs/Teams: Part of the EPSRC-funded NetCodMod5G project team Collaborates with industry partners on aerial telecom infrastructure

Emma Kenyonمشاهده پروفایل

مدرس

• Sensory Neuroscience
• Hearing and Balance
• Genetics
• +۴ مورد دیگر

Dr. Emma Kenyon is a Lecturer in Neuroscience at Swansea University Medical School, part of the Faculty of Medicine, Health and Life Sciences. Her research focuses on sensory neuroscience, particularly hearing and balance, using zebrafish as a model system. With 20 years of experience in zebrafish research, she investigates intracellular trafficking mechanisms and their role in sensory hair cell function. In 2019, she received the RNID Pauline Ashley Fellowship to study RabGTPases in aminoglycoside antibiotic transport. She teaches on the MSc Medical Neuroscience program and supervises postgraduate research. Expertise: Sensory neuroscience, genetics, zebrafish models Awards: RNID Fellowship (2019), NERC Grant (2023), HERC Equipment Grant (2022) Key research areas include ototoxicity prevention, hair cell protection, and seagrass population dynamics. She has authored/co-authored over 20 publications in journals like Frontiers in Cell and Developmental Biology , Nature , and PLoS ONE . Current grants include NERC funding for interdisciplinary research and HERC support for lab equipment. She collaborates with institutions like University of Sussex and University of Birmingham, and has held roles from postdoctoral researcher to senior fellow.

Deniz Gunduzمشاهده پروفایل

استاد

• Wireless Communications
• Information Theory
• Machine Learning
• +۳ مورد دیگر

Deniz Gündüz is a Professor of Information Processing at Imperial College London's Electrical and Electronic Engineering Department, leading the Information Processing and Communications Lab. He also serves as Deputy Head of the Intelligent Systems and Networks Group and holds a part-time faculty position at the University of Modena and Reggio Emilia. His research focuses on wireless communications, information theory, machine learning, and privacy, with significant contributions to semantic communication systems and AI-native networks. He has held visiting roles at Princeton University and the University of Padova. Dr. Gündüz is an Area Editor for IEEE Transactions on Communications and IEEE JSAC, and a former Distinguished Lecturer of the IEEE Information Theory Society. His awards include the IEEE Communication Society Early Achievement Award (2017), ERC Starting Grant (2015), and multiple best paper recognitions. He has organized major conferences and workshops, including the first MLCOM workshops on machine learning for communications. Education: B.S. (2002) from METU, Turkey; M.S. and Ph.D. (2004, 2007) from NYU Polytechnic School of Engineering. Prior roles include Research Associate at CTTC Barcelona, Consulting Assistant Professor at Stanford, and postdoctoral positions at Princeton. His work spans theoretical foundations and practical implementations, emphasizing interdisciplinary solutions for next-generation networks. Research Interests: Semantic communications, distributed learning, 6G systems, privacy-preserving techniques, and AI integration in communication networks. His recent work explores neural compression for cloud RAN, over-the-air computation, and federated learning optimizations. Awards and Roles: IEEE JSAC Series Editor (Machine Learning in Networks), IEEE Transactions on Wireless Communications Editor, and organizer of major conferences. His team's achievements include breakthroughs in joint source-channel coding and adversarial jamming defenses.

Mohammed El-Hajjarمشاهده پروفایل

استاد

• Millimeter wave wireless communications
• Energy efficient transceiver design
• MIMO systems
• +۷ مورد دیگر

Professor Mohammed El-Hajjar is a faculty member at the University of Southampton , affiliated with the Next Generation Wireless research group. His work spans advanced wireless technologies and their applications in emerging communication paradigms. Research areas include Millimeter wave (mMWave) wireless communications, Energy efficient transceiver design, MIMO systems, V2X networking, and Machine learning integration in wireless domains. Current projects involve PlaTform DrIving The UltImAte CoNnectivity (EPSRC-funded) and Affine Frequency Division Multiplexing for 6G (collaborative with Professor Hanzo). His publications focus on holographic MIMO, orbital angular momentum, and AI-driven wireless systems. He has supervised over 10 PhD students in electronic and electrical engineering. Scientific Awards Royal Academy of Engineering Industrial Fellowship Secured funding from UKRI and industry partners As a prolific researcher, he has contributed to over 100 peer-reviewed papers and holds multiple patents in wireless communication technologies.

Sheng Chenمشاهده پروفایل

استاد

• Wireless Communication Systems
• Machine Learning for Signal Processing
• Underwater Robotics
• +۳ مورد دیگر

Professor Sheng Chen at the University of Southampton holds a prestigious academic rank in the Electronics and Computer Science department. His research interests span wireless communication systems, machine learning for signal processing, underwater robotics, and digital twin technology. IEEE Fellow Royal Academy of Engineering Fellow Chartered Engineer Research Focus: Professor Chen specializes in advanced wireless communication systems including MIMO technologies, channel estimation techniques, and next-generation 6G protocols. His work extends to industrial cybersecurity applications and underwater stereo matching algorithms. Recent Contributions: His latest publications demonstrate expertise in memristor-based signal processing circuits, label distribution learning using renormalization group theory, and innovative interference mitigation strategies in dynamic TDD systems. Current research projects: Optimising control system integrity (Royal Academy of Engineering), NEWCOM (European Union)

• Next-generation wireless transmissions
• Quantum communications and detection
• Channel coding and modulation
• +۷ مورد دیگر

Professor Michael Ng is an academic at the University of Southampton's School of Electronics and Computer Science. He holds a professorship in Next Generation Communications and actively supervises PhD students in fields related to wireless technologies and quantum communications. Education: B.Eng. in Electronic Engineering (First Class), University of Southampton (1999) Ph.D. in Telecommunications, University of Southampton (2002) Research Interests: His work spans next-generation wireless transmissions, quantum communications, channel coding, MIMO systems, cooperative communications, and machine learning applications in communications. He leads cutting-edge research in quantum error correction and hybrid wireless-optical systems. Scientific Contributions: Principal Investigator for EPSRC-funded Cooperative Classical and Quantum Communications Systems Co-Investigator in multiple European projects (SCOUT, NEWCOM, PHOENIX, OPTIMIX, CONCERTO) Co-authored over 260 papers and two IEEE Press books Awards: Dean’s Award for outstanding contributions in scientific publications (2013) Leadership Roles: He has served as EEE Programme Leader (2018-2021) and currently directs the ECS Doctoral Programme. He also chairs the IEEE Quantum Communications & Information Technology Emerging Technical Subcommittee.

• Molecular Biology
• Biochemistry
• Microbiology
• +۳ مورد دیگر

Dr. Yulia Yuzenkova is a researcher at Newcastle University , specializing in RNA polymerase mechanisms, transcription fidelity, and bacterial gene regulation. Her work spans molecular biology, biochemistry, and microbiology, with a focus on non-canonical RNA capping, antibiotic resistance, and transcription factor dynamics. Key research areas: RNA polymerase structure/function, transcriptional proofreading, and phage-host interactions Collaborates with experts in RNA biology and microbiology Recent publications highlight her contributions to understanding RNA capping diversity, cyanobacterial transcription systems, and antibiotic modes of action. She has mentored students including Amber Riaz-Bradley and Miron Leanca .