جست‌وجوی استاد و پژوهشگر

• Optical Communications
• Networking
• Quantum Communication
• +۵ مورد دیگر

Luis Velasco is a Full Professor at the Polytechnic University of Catalonia (UPC) , affiliated with the Computer Architecture Department and the Optical Communications Group . His work focuses on advanced optical networking, quantum communication security, AI-driven network control, and 6G infrastructure. He leads research initiatives such as the OCATA digital twin framework for optical networks and SEASON for sustainable high-capacity optical systems. Research Interests: Optical communications and multiband transmission AI-based network control planes and autonomous systems Quantum key distribution and optical security 6G and B5G network architectures Digital twins for network performance optimization Recent Work Trends: His articles emphasize real-time network operation, zero-touch optical networking, and hybrid quantum-classical security solutions. Key themes include autonomous flow routing, multi-domain service provisioning, and AI-enhanced telemetry for network monitoring. Advising/Grants: No formal advisees listed. Active in EU-funded projects like UNICO 5G TIMING and OCATA. Labs/Teams: Core member of the Optical Communications Group , collaborating on projects involving quantum-enabled networks, digital twin simulation, and 6G infrastructure.

• Biological and Artificial Vision
• Human Sensory Augmentation
• Secure Data Analytics
• +۳ مورد دیگر

Dr. Noel Murphy is an Associate Professor and Head of the School of Electronic Engineering at Dublin City University (DCU). He has held various leadership roles, including Associate Dean for Education in the Faculty of Engineering and Computing (2005-2007), Head of School (2007-2012, 2015-2018, and returning in 2021). He has been teaching at DCU since 1986 and has contributed extensively to academic governance, including roles on Academic Council and Governing Authority committees. Dr. Murphy holds a BA (Mod) in Theoretical Physics from Trinity College Dublin (TCD), a PhD from DCU (2003) on Information Theory models for Biological and Artificial Vision, and a part-time MA in Pure Mathematics from Maynooth University (2015). His research focuses on: Biological and Artificial Vision: Including Information Theoretic models and the work of Stephen Grossberg. Secure Data Analytics: Particularly leveraging SGX-enabled applications for data ownership control. Algebraic Number Theory: Exploring elliptic curves and Apéry's Constant. IoT and Edge Computing: Focusing on secure processing for IoT applications. Human Sensory Augmentation and Multimedia Information Retrieval. In addition to his teaching and leadership roles, Dr. Murphy has supervised numerous PhD and Master's students to completion. He has secured funding as Principal Investigator or co-Investigator on national and EU-funded research projects. He is affiliated with DCU's Entwine Research Centre. Outside academia, Dr. Murphy is Honorary Secretary of the Irish Light Aviation Society, holds a Private Pilot’s License, and is involved in aircraft restoration projects, including a 1940 Piper J5 and a Vans RV-8.

• Industrial Engineering
• Internet of Things (IoT)
• Robotics
• +۳ مورد دیگر

Stefano Farne' is affiliated with the University of Pavia. His work focuses on Industrial IoT (IIoT) applications in logistics optimization and robotics efficiency. He has published research on IoT-enabled monitoring systems for industrial robots, emphasizing automation and performance analysis. His contributions span both journal articles and conference proceedings. Research interests include integrating IoT technologies into manufacturing processes to enhance operational efficiency through real-time data analysis and sensor networks. His publications highlight practical implementations in gantry robots and pick-and-place systems. No scientific awards or grants are explicitly mentioned in available records. No advising or lab affiliations are detailed in the provided information.

• Deep Learning
• Machine Learning
• Medical Image Analysis
• +۴ مورد دیگر

Euijoon Ahn is a Senior Lecturer in the Department of Information Technology at James Cook University’s College of Science and Engineering. He holds a PhD in Computer Science (Medical Image Analysis) from The University of Sydney (2020), alongside earlier degrees from The University of Sydney and The University of Newcastle. His research focuses on developing machine learning and deep learning models for biomedical applications, particularly unsupervised/self-supervised learning in medical imaging and telehealth. He has authored over 30 peer-reviewed publications in top-tier venues like IEEE T-MI, CVPR, and MICCAI. Education PhD in Computer Science (Medical Image Analysis), The University of Sydney (2016–2020) MPhil in Computer Science, The University of Sydney (2014–2016) Bachelor of IT, The University of Newcastle (2007–2010) Research Interests His work emphasizes translational health technologies, including unsupervised learning for medical image segmentation/classification, telehealth systems for remote patient monitoring, and AI-driven vital sign estimation using facial video analysis. Current projects explore self-supervised frameworks for histopathology, low-dose CT denoising, and ecoacoustic data analysis. Key Projects Unsupervised/self-supervised learning for medical image analysis AI-enabled telehealth systems for non-contact vital signs measurement LEAVES: Open-source tool for ecoacoustic dataset management Awards Recipient of Telehealth Technology Innovation Awards (2018, 2019), Best Oral Presentation (2019), and The University of Sydney’s Research Excellence Prize (2019). Teaching Coordinates and lectures courses in Machine Learning (CP1407), Programming II (CP1404), Advanced Data Communications (CP5601), and Operating Systems (CP1409). He also supervises multiple PhD/MPhil students in medical AI and data science. Labs & Affiliations Active in James Cook University’s Health Informatics and AI research groups, and collaborates with Nepean Blue Mountains Local Health District on clinical AI projects.

• Cloud Computing
• Virtualization
• System Administration
• +۲ مورد دیگر

Kyrre Matthias Begnum is an Associate Professor in the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU). His research focuses on cloud computing infrastructure, virtualization technologies, and efficient resource management in distributed systems. Dr. Begnum's work explores optimization techniques for cloud environments, including load distribution algorithms and virtual machine management strategies. He has contributed significantly to unikernel development through the IncludeOS project, enabling highly efficient cloud services. His recent publications address security challenges in machine learning-based intrusion detection systems and network reconfiguration in high-performance computing environments. He teaches courses on robust service development and system administration. His outreach includes educational podcasts on problem-solving methodologies in technology and computing.

• Mitochondrial Genetics
• Aging
• Network Analysis
• +۹ مورد دیگر

Nick Jones is a Professor of Mathematical Sciences at Imperial College London's Department of Mathematics within the Faculty of Natural Sciences. He holds affiliations with multiple research centers including the I-X Centre for AI in Science (a flagship Imperial AI initiative), the Biomathematics Group, the EPSRC Centre for Maths of Precision Healthcare, and the Cancer Technology Network. His research integrates tools from Bayesian inference, stochastic processes, and signal processing to address challenges in mitochondrial genetics, aging processes, public health, and network analysis. His work on mitochondrial dynamics focuses on understanding genetic variability and clonal expansion mechanisms in aging cells. He has pioneered methods for analyzing time-series data, such as the catch22 framework and hctsa computational tool, which enable high-throughput phenotyping and feature-based classification. In ecology, he leads the SAFE Acoustics project, deploying open-source acoustic sensors for real-time ecosystem monitoring in tropical forests. Jones co-founded the EPSRC Centre for the Mathematics of Precision Healthcare and is actively involved in advancing AI applications in science through the I-X initiative. His research group explores aging mechanisms, network science, and precision healthcare modeling. Notable contributions include stochastic models for mtDNA inheritance, community detection algorithms without edge data, and innovative approaches to quantify energetic constraints in biological systems. Jones has secured grants such as the 2013 Advanced Hackspace initiative at Imperial College, supporting interdisciplinary maker spaces for applied research. He advises students in the CDT in Chemical Biology program and leads teams investigating cellular energy homeostasis and mitochondrial quality control.

• Scientific Computing
• High-Performance Computing
• Numerical Algorithms
• +۴ مورد دیگر

Anne Trefethen is a Professor of Scientific Computing and Pro-Vice-Chancellor for People and Digital at the University of Oxford. She leads the Institute for the Future of Computing, part of the James Martin 21st Century School, and is affiliated with the Oxford e-Research Centre. Previously, she directed the UK e-Science Core Programme and held roles in industry including VP of R&D at NAG Ltd and research scientist positions at the Cornell Theory Center and Thinking Machines Corporation. Her research focuses on enabling interdisciplinary computing through high-level languages, multi-touch technology, and energy-efficient algorithms. She emphasizes accessibility to complex systems and extreme computing challenges. Awarded Fellow of the Royal Academy of Engineering (FREng), her contributions span computational science, numerical algorithms, and grid infrastructure. She collaborates with industry to advance middleware and high-performance computing solutions.

• Biomedical Engineering
• Microfluidics
• Biosensors
• +۳ مورد دیگر

A K M Arifuzzman is a Research Fellow at the School of Electrical and Computer Engineering, Georgia Institute of Technology. His research focuses on developing microfluidic and biosensor technologies for high-throughput cell analysis and biomedical diagnostics. He specializes in integrating electronic detection systems with microfluidic devices to enable label-free, real-time cellular phenotyping and mechanophenotyping. Key research themes include: Design of multiplexed impedance sensors for cell stiffness measurement Automated lightless cytometry using immunomagnetic manipulation Electronic antibody microarrays for combinatorial immunophenotyping Development of lab-on-a-chip systems for point-of-care diagnostics His recent work emphasizes high-throughput approaches for immune cell analysis, leukocyte differential counting, and cellular antigen expression profiling. The 2023-2025 publications highlight advancements in microfluidic constrictions, automated microchip systems, and multimodal electronic phenotyping techniques. His sensor innovations address critical challenges in biomedical engineering, particularly in miniaturization, sensitivity, and automation of diagnostic tools. Notable contributions include the creation of label-free electronic detection platforms and adaptive immunomagnetic manipulation systems. His research bridges electrical engineering, microfluidics, and biomedical applications, with particular emphasis on translating lab-scale technologies into practical clinical solutions.

Mark Foxمشاهده پروفایل

استاد

• Quantum Optics
• Semiconductor Photonics
• Ultrafast Laser Spectroscopy
• +۳ مورد دیگر

Professor Mark Fox is a Professor of Optical Physics at the University of Sheffield and Head of the Inorganic Semiconductors Research Cluster within the School of Mathematical and Physical Sciences. His research focuses on III-V semiconductors, photonic structures, quantum optics, and quantum technologies, with particular emphasis on quantum dots, photonic crystals, and ultrafast laser spectroscopy. He has authored influential books such as Optical Properties of Solids and Quantum Optics . His work explores the integration of quantum emitters with photonic circuits, enabling advancements in quantum communication and computation. Notable contributions include studies on Purcell-enhanced single photon sources, chiral quantum photonics, and spin-based quantum optical devices. His research bridges fundamental physics with applied photonics, addressing challenges in quantum technology implementation. Professor Fox collaborates widely, contributing to interdisciplinary projects in nanophotonics and materials science. His lab develops novel semiconductor materials and nanostructures for applications in quantum optics and energy-efficient photonics. Current interests include topological photonics and the design of directional integrated quantum systems.

Ahmed Elzanatyمشاهده پروفایل

مدرس

• Statistical Signal Processing
• Digital Communications
• Compressed Sensing
• +۵ مورد دیگر

Dr. Ahmed Elzanaty is a Lecturer in Communication Systems at the University of Surrey, affiliated with the Institute for Communication Systems and the 5G/6G Innovation Centre. He holds a PhD in Electronics, Telecommunications, and Information Technology from the University of Bologna (2018), following B.Sc. and M.Sc. degrees in Electronics and Communications Engineering from Port Said University (Egypt). Before joining Surrey, he was a Research Fellow at KAUST and the University of Bologna. His research focuses on intelligent signal processing and optimization for communication systems, emphasizing bandwidth and EMF efficiency. Key areas include reconfigurable intelligent surfaces (RIS), unmanned aerial vehicle (UAV)-assisted communications, and compressed sensing. He designs systems that balance high-speed data transmission with reduced electromagnetic field radiation, leveraging tools from statistical signal processing and information theory. Elzanaty supervises postgraduate students in the School of Computer Science and Electronic Engineering and teaches the 'Internet of Things' module (COM3023). His publications span EMF-efficient networks, RIS-assisted localization, and MIMO systems. He collaborates with interdisciplinary teams at Surrey's PAI (People-Centred AI) Institute to advance next-generation communication technologies.

Burak Kantarciمشاهده پروفایل

استاد

• Internet of Things (IoT)
• AI-based Security
• Vehicular Networks
• +۶ مورد دیگر

Dr. Burak Kantarci is a Full Professor at the School of Electrical Engineering and Computer Science, Faculty of Engineering, University of Ottawa. He holds a University Research Chair in AI-Enabled Secure Networking for Smart Critical Infrastructures and a courtesy faculty appointment at Clarkson University. His research focuses on IoT, AI-based security, vehicular networks, and edge computing. Education and Career: Previously an Assistant Professor at Clarkson University (before joining University of Ottawa) and a Research Fellow at University of Ottawa (2009–2014). He is a Professional Engineer (P.Eng) in Ontario. Research Interests: Includes continuous authentication, communication models for big data, crowdsensing, and vehicular sensing. He leads the NEXTCON-SCVI Labs and has published over 200 peer-reviewed works. Articles Trends: Recent work emphasizes AI-driven security solutions, autonomous systems safety, and 5G/6G networking challenges. Topics include adversarial detection, UAV optimization, and edge computing efficiency. Awards: Distinguished Lecturer (IEEE Communications & Systems Societies), ACM Distinguished Speaker, Senior Member (ACM/IEEE). Grants & Advising: Principal Investigator on NSERC/CFI/NSF-funded projects. Advises on grants focused on smart infrastructure and secure networking. Labs/Teams: Founder of NEXTCON-SCVI Labs, focusing on communications, computing networks, and smart vehicles innovation.

Rajan Shankaranمشاهده پروفایل

مدرس ارشد

• Network Security
• Mobile Communication Protocols
• Internet of Things
• +۴ مورد دیگر

Rajan Shankaran is a Senior Lecturer at Macquarie University's School of Computing, part of the Faculty of Science and Engineering. He serves as Course Director for postgraduate programs in Networking and IoT, and chairs the IEEE VTS NSW Chapter. His roles include membership in the University Academic Senate Curriculum Subcommittee and representation on the FSE Faculty Board. Education: MBA (MIS) from Maastricht School of Management; M.Sc. (Hons.) and Ph.D. in Network Communications and Security from University of Western Sydney. Research focuses on Network Security, Mobile Communication Protocols, IoT, Network-on-Chip, and Medical Implant Security. He has led projects like 'Digital Health Records Storage and Analysis for Global Patients' and organized IEEE events such as NOMS 2017. Notable awards include IEEE Senior Member status. Recent work includes publications on wireless network security, optimization algorithms, and IoT-enabled healthcare systems. He advises on over 70 research outputs and has contributed to 4 major projects addressing cybersecurity and network efficiency. Labs/Teams: Active in the Future Communications Research Centre, collaborating on 5G/IoT security and edge computing applications.

• Applied Electromagnetics
• Wireless Communications
• Antenna Design
• +۵ مورد دیگر

Dr. Xingqi Zhang is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Alberta, Canada. He holds adjunct professorships at University College Dublin (Ireland) and has held visiting positions at the University of Toronto and Queen Mary University of London. His research focuses on applied electromagnetics and wireless communications, emphasizing high-performance computational models for 5G/6G/THz systems, intelligent transportation, underwater communications, IoT, and biomedical applications. Education: B.Sc. (Honors) from Harbin Institute of Technology, M.A.Sc. and Ph.D. from the University of Toronto. Research interests include physics-based wireless channel modeling, radio wave propagation in diverse environments, multiphysics modeling for electromagnetic and biomedical systems, reconfigurable intelligent surfaces (RIS), antenna design, and machine learning applications in communications. He leads a Horizon 2020-funded project on future wireless networks and collaborates with global academia and industry. Awards: ACES Early Career Award, RIA Charlemont Award, and multiple best paper awards. He serves as an associate editor for IEEE journals and technical committee roles in flagship conferences. Teaching: Currently teaches ECE 209A/B (Fundamentals of Electrical Engineering) in 2025 terms. His group oversees projects in channel modeling, integrated sensing/communication, and machine learning-based parametric modeling.

• Surface Electromagnetics
• Metasurfaces
• Reconfigurable Intelligent Surfaces (RIS)
• +۷ مورد دیگر

Mohsen Khalily is an Associate Professor in Antennas and Propagation at the University of Surrey's Institute for Communication Systems (ICS) within the School of Computer Science and Electronic Engineering. He leads the Surface Electromagnetics Laboratory (SEMLAB) and has secured over £4.5M in research grants. His work focuses on surface electromagnetics, metasurfaces, THz communication, and RIS standardization within ETSI. Education & Research: Holds senior IEEE membership and fellowships in Higher Education. Research spans metasurface engineering, RIS applications, and antenna design for 5G/6G. Notable contributions include reconfigurable intelligent surfaces for ISAC and THz on-chip communication using topological insulators. Publications & Impact: Authored 250+ papers and 4 book chapters. Key areas include holographic beamforming, wave-domain computing, and OAM multiplexing. Recent work explores STAR-RIS for sensing/communication coexistence and quantum optimization of metasurfaces. Grants & Collaborations: Led projects like PREMIER (£750k), RIS-Enabled ISAC (£450k), and Flexi-DAS (£1.2M). Collaborates with global experts like Prof. Ahmed Kishk (Concordia) and Prof. Zhi Ning Chen (NUS).

Mary Beth Watson-Manheimمشاهده پروفایل

استاد

• Information Systems
• Virtual Work Environments
• ICT-Intensive Workplaces
• +۶ مورد دیگر

Mary Beth Watson-Manheim is a Professor and Department Head in the Department of Managerial Studies at the University of Illinois Chicago (UIC), part of the College of Business Administration. She holds a Ph.D. in Information Technology Management from Georgia Institute of Technology and previously served at the University of Florida’s Warrington College of Business. Her research focuses on the societal and organizational implications of ICT-intensive work environments, virtual collaboration, and digital transformation. Watson-Manheim has held editorial roles including Senior Editor of the Information Systems Journal , and leadership positions such as Division Chair (2016-17) of the Academy of Management’s OCIS Division. She has conducted research in India as a Senior Research Scholar (2009-2010) and at the University of Muenster as a Visiting Scholar (2018-2019). Her research interests include virtual work environments, IT-enabled organizational change, and the impact of social media and algorithmic technologies on work dynamics. Notable honors include the 2012 AIS Best Publication Award and the 2007 Distinguished Faculty Award from UIC. Watson-Manheim’s work bridges theoretical contributions with practical insights, addressing challenges in hybrid work models, ride-hailing platform impacts, and hidden work dynamics in technology-driven settings. Her publications span journals like Management Information Systems Quarterly and Information Systems Journal , with recent articles examining AI ethics, remote work transformations, and algorithmic effects on employee relationships. She advocates for rethinking organizational assumptions in the digital age, emphasizing human-centric approaches to technological adoption.